text
stringlengths 1
1.05M
|
|---|
DECLARE @AlertName NVARCHAR(200) = N'%s';
EXEC msdb.dbo.sp_update_alert
@name = @AlertName,
@enabled = 0;
|
delete from aspnet_UsersInRoles
delete from aspnet_Membership
delete from aspnet_Profile
delete from aspnet_Users
delete from aspnet_Roles
delete from aspnet_Applications
|
-- boundary3.test
--
-- db eval {
-- SELECT t2.a FROM t1 JOIN t2 USING(a)
-- WHERE t1.rowid <= 256 ORDER BY t2.a
-- }
SELECT t2.a FROM t1 JOIN t2 USING(a)
WHERE t1.rowid <= 256 ORDER BY t2.a
|
SELECT CASE WHEN A + B > C AND A+C>B AND B+C>A THEN
CASE WHEN A = B AND B = C THEN 'Equilateral'
WHEN A = B OR B = C OR A = C THEN 'Isosceles'
WHEN A != B OR B != C OR A != C THEN 'Scalene'
END ELSE 'Not A Triangle' END
FROM TRIANGLES;
|
-- phpMyAdmin SQL Dump
-- version 4.7.9
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Feb 10, 2020 at 06:35 AM
-- Server version: 10.1.31-MariaDB
-- PHP Version: 7.2.3
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `pmu`
--
-- --------------------------------------------------------
--
-- Table structure for table `admin`
--
CREATE TABLE `admin` (
`id_admin` int(100) NOT NULL,
`nama_admin` varchar(100) NOT NULL,
`password_admin` varchar(50) NOT NULL,
`email_admin` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `admin`
--
INSERT INTO `admin` (`id_admin`, `nama_admin`, `password_admin`, `email_admin`) VALUES
(1, 'Eka Karyawati', 'eka123', 'eka.karyawati@cs.unud.ac.id');
-- --------------------------------------------------------
--
-- Table structure for table `angkatan`
--
CREATE TABLE `angkatan` (
`id_angkatan` int(100) NOT NULL,
`angkatan_mhs` int(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `angkatan`
--
INSERT INTO `angkatan` (`id_angkatan`, `angkatan_mhs`) VALUES
(1, 2006),
(2, 2007),
(3, 2008),
(4, 2009),
(5, 2010),
(6, 2011),
(7, 2012),
(8, 2013),
(9, 2014),
(10, 2015),
(11, 2016),
(12, 2017),
(13, 2018),
(14, 2019),
(15, 2020),
(16, 2021),
(17, 2022),
(18, 2023),
(19, 2024),
(20, 2025);
-- --------------------------------------------------------
--
-- Table structure for table `cpl_prodi`
--
CREATE TABLE `cpl_prodi` (
`id_cpl` int(100) NOT NULL,
`kode_cpl` varchar(100) NOT NULL,
`deskripsi_cpl` varchar(500) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `cpl_prodi`
--
INSERT INTO `cpl_prodi` (`id_cpl`, `kode_cpl`, `deskripsi_cpl`) VALUES
(2, 'S9', '1Menunjukkan sikap bertanggungjawab atas pekerjaan di bidang keahliannya secara mandiri.'),
(3, 'P1', 'Menguasai konsep teoritis bidang pengetahuan Ilmu Komputer/Informatika secara umum dan konsep teoritis bagian khusus dalam bidang pengetahuan tersebut secara mendalam, serta mampu memformulasikan penyelesaian masalah prosedural.'),
(4, 'P2', 'Memiliki pengetahuan yang memadai terkait dengan cara kerja sistem komputer dan mampu merancang dan mengembangkan berbagai algorithma /metode untuk memecahkan masalah.'),
(5, 'KK1', 'Mampu merancang dan mengembangkan algorithma untuk berbagai keperluan seperti Network Security, Data Compression Multimedia Technologies, Mobile Computing Intelligent Systems, Information Management, Algorithms and Complexity, Human-Computer Interaction, Graphics and Visual Computing.'),
(6, 'KU1', 'Mampu menerapkan pemikiran logis, kritis, sistematis, dan inovatif dalam konteks pengembangan atau implementasi ilmu pengetahuan dan teknologi yang memperhatikan dan menerapkan nilai humaniora yang sesuai dengan bidang keahliannya;');
-- --------------------------------------------------------
--
-- Table structure for table `cp_mk`
--
CREATE TABLE `cp_mk` (
`id_cp` int(100) NOT NULL,
`kode_cp` varchar(100) NOT NULL,
`deskripsi_cp` varchar(500) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `cp_mk`
--
INSERT INTO `cp_mk` (`id_cp`, `kode_cp`, `deskripsi_cp`) VALUES
(2, 'M1', 'Setelah mengikuti mata kuliah ini, mahasiswa dapat menjelaskan peran algoritma dan pemrograman dalam sistem komputer. (P1, P2)'),
(3, 'M2', 'Setelah diberikan beberapa contoh algoritma dalam pseudocode dan flowchart, mahasiswa dapat menyelesaikan masalah dengan menggunakan pseudocode dan mengimplementasikan ke dalam bentuk flowchart. (S9, P1,KK1, KU1, KU8)'),
(4, 'M3', 'Mahasiswa mampu menggunakan tipe data dasar dan operator dalam bahasa pemrograman C. (S9, P1, KK1, KU1, KU8)'),
(5, 'M4', 'Setelah diberikan kasus, mahasiswa mampu mengimplementasikan penggunaan struktur kondisi dalam penyelesaian masalah tersebut. (S9, P1, KK1, KU1, KU8)');
-- --------------------------------------------------------
--
-- Table structure for table `dosen`
--
CREATE TABLE `dosen` (
`nidn` int(100) NOT NULL,
`nip` double NOT NULL,
`nama` varchar(100) NOT NULL,
`jenis_kelamin` varchar(20) NOT NULL,
`email` varchar(100) NOT NULL,
`password` varchar(20) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `dosen`
--
INSERT INTO `dosen` (`nidn`, `nip`, `nama`, `jenis_kelamin`, `email`, `password`) VALUES
(0, 1.990060620181123e18, 'Gst. Ayu Vida Mastrika Giri, S.Kom., M.Cs.', 'perempuan', 'vida.mastrika@cs.unud.ac.id', 'vida123'),
(5117510, 1.97511052005011e17, 'I Made Widhi Wirawan, S.Si., M.Si., M.Cs.', 'Laki-laki', 'made_widhi@yahoo.com', 'widhi123'),
(6128006, 1.98012062006041e17, 'I Gede Santi Astawa, S.T., M.Cs.', 'laki-laki', 'santi.astawa@cs.unud.ac.id', 'astawa123'),
(7047408, 1.97404071998022e17, 'Dr. Anak Agung Istri Ngurah Eka Karyawati, S.Si.,M.Eng.', 'perempuan', 'eka.karyawati@cs.unud.ac.id', 'eka123'),
(14016403, 1.96401141994022e17, 'Dra. Luh Gede Astuti,M.Kom.', 'perempuan', 'lg.astuti@cs.unud.ac.id', 'astuti123'),
(14046702, 1.96704141992031e17, 'Drs. I Wayan Santiyasa,M.Si.', 'perempuan', 'santiyasa67@gmail.com', 'santi123'),
(15038503, 1.98503152010121e17, 'Ida Bagus Gede Dwidasmara, S.Kom., M.Cs.', 'Laki-laki', 'dwidasmara@unud.ac.id', 'dwidasmara123'),
(16068003, 1.98006162005011e17, 'Agus Muliantara, S.Kom, M.Kom', 'Laki-laki', 'muliantara@gmail.com', 'gusmul123'),
(18098205, 1.9820918200812202e17, 'Luh Arida Ayu Rahning Putri, S.Kom., M.Cs.', 'perempuan', 'luh.arida@cs.unud.ac.id', 'arida123'),
(20128202, 1.98212202008011e17, 'I Made Widiartha, S.Si., M.Kom.', 'Laki-laki', 'madewidiartha@unud.ac.id', 'wdartha123'),
(21037803, 1.97803212005011e17, 'Dr. Ngurah Agus Sanjaya ER, S.Kom., M.Kom.', 'Laki-laki', 'agus_sanjaya@unud.ac.id', 'sanjaya123'),
(21058003, 1.98006212008121e17, 'Ida Bagus Made Mahendra, S.Kom., M.Kom.', 'Laki-laki', 'gusdek@gmail.com', 'gusdek123'),
(21067808, 1.97806212006041e17, 'Cokorda Rai Adi Pramartha,ST.MM.PhD', 'Laki-laki', 'cokorda@cs.unud.ac.id', 'cok123'),
(22108303, 1.98310222008121e17, 'I Gede Arta Wibawa, S.T., M.KOM.', 'Laki-laki', 'gede.arta@unud.ac.id', 'arta123'),
(24018201, 1.98201242005021e17, 'I MADE AGUS SETIAWAN, S.Kom., M.Kom', 'Laki-laki', 'madeagus@gmail.com', 'agus123'),
(24098402, 1.98409242008011e17, 'I Komang Ari Mogi, S.Kom., M.Kom.', 'Laki-laki', 'arimogi@unud.ac.id', 'mogi123'),
(27018901, 1.98901272012121e17, 'I Dewa Made Bayu Atmaja Darmawan,S.Kom.,M.Cs.', 'Laki-laki', 'dwbayu@gmail.com', 'bayu123'),
(28128801, 1.98812282014041e17, ' I PUTU GEDE HENDRA SUPUTRA, S.Kom.,M.Kom.', 'laki-laki', 'hendra.suputra@gmail.com', 'hendra123'),
(810017201, 1.97201102008121e17, 'Dr. I Ketut Gede Suhartana, S.Kom., M.Kom', 'Laki-laki', 'ikg.suhartana@unud.ac.id', 'suhartana123'),
(817038401, 1.98403172019031e17, 'I Gusti Ngurah Anom Cahyadi Putra, ST., M.Cs', 'Laki-laki', 'anom.cp@unud.ac.id', 'anom123'),
(819098502, 1.985091920181113e18, 'Made Agung Raharja, S.Si., M.Cs.', 'laki-laki', 'made.agung@unud.ac.id', 'degung123'),
(829088401, 1.984082920181113e18, 'I Wayan Supriana, S.Si., M.Cs.', 'laki-laki', 'wayan.supriana@unud.ac.id', 'wayan123');
-- --------------------------------------------------------
--
-- Table structure for table `kontrak_kuliah`
--
CREATE TABLE `kontrak_kuliah` (
`id_kontrak_kuliah` int(10) NOT NULL,
`sks` int(10) NOT NULL,
`deskripsi_mata_kuliah` longtext NOT NULL,
`strategi_perkuliahan` longtext NOT NULL,
`referensi` longtext NOT NULL,
`persentase_kehadiran` int(10) NOT NULL,
`persentase_keaktifan` int(10) NOT NULL,
`persentase_kuis` int(10) NOT NULL,
`persentase_uts` int(10) NOT NULL,
`persentase_uas` int(10) NOT NULL,
`id_matkul` int(100) NOT NULL,
`id_semester` int(100) NOT NULL,
`nidn` int(100) NOT NULL,
`topik_1` text NOT NULL,
`topik_2` text NOT NULL,
`topik_3` text NOT NULL,
`topik_4` text NOT NULL,
`topik_5` text NOT NULL,
`topik_6` text NOT NULL,
`topik_7` text NOT NULL,
`topik_8` text NOT NULL,
`topik_9` text NOT NULL,
`topik_10` text NOT NULL,
`topik_11` text NOT NULL,
`topik_12` text NOT NULL,
`topik_13` text NOT NULL,
`topik_14` text NOT NULL,
`topik_15` text NOT NULL,
`topik_16` text NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `kontrak_kuliah`
--
INSERT INTO `kontrak_kuliah` (`id_kontrak_kuliah`, `sks`, `deskripsi_mata_kuliah`, `strategi_perkuliahan`, `referensi`, `persentase_kehadiran`, `persentase_keaktifan`, `persentase_kuis`, `persentase_uts`, `persentase_uas`, `id_matkul`, `id_semester`, `nidn`, `topik_1`, `topik_2`, `topik_3`, `topik_4`, `topik_5`, `topik_6`, `topik_7`, `topik_8`, `topik_9`, `topik_10`, `topik_11`, `topik_12`, `topik_13`, `topik_14`, `topik_15`, `topik_16`) VALUES
(5, 12, 'safasfaf', 'azsfafs', 'asasf', 11, 12, 12, 13, 13, 214, 1, 7047408, 'qweqwe', 'qeqwe', 'qwqwqw', 'wewe', 'wwewrr', 'wrrwwrq', 'bcbdfb', 'sfgdfg', 'sdgsgd', 'sdgsdg', 'sdgsdg', 'sdgsdg', 'sdgsdg', 'sdgsdg', 'asdfaf', 'wdgdg'),
(6, 3, 'asd', 'asd', 'asd', 20, 20, 20, 20, 20, 214, 1, 7047408, 'asd', 'asd', 'asd', 'asd', 'asd', 'asd', 'asd', 'asd', 'asd', 'asd', 'asd', 'asd', 'asd', 'asd', 'asd', 'asd');
-- --------------------------------------------------------
--
-- Table structure for table `kriteria_penilaian`
--
CREATE TABLE `kriteria_penilaian` (
`id_kriteria` int(100) NOT NULL,
`kode_kriteria` varchar(100) NOT NULL,
`deskripsi_kriteria` varchar(500) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `kriteria_penilaian`
--
INSERT INTO `kriteria_penilaian` (`id_kriteria`, `kode_kriteria`, `deskripsi_kriteria`) VALUES
(2, 'KP1', 'Ketepatan'),
(3, 'KP2', 'Penguasaan'),
(4, 'KP3', 'Sistematis');
-- --------------------------------------------------------
--
-- Table structure for table `mahasiswa`
--
CREATE TABLE `mahasiswa` (
`id_mahasiswa` int(100) NOT NULL,
`nim` int(100) NOT NULL,
`nama_mhs` varchar(100) NOT NULL,
`id_matkul` int(100) NOT NULL,
`id_angkatan` int(100) NOT NULL,
`id_semester` int(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `mahasiswa`
--
INSERT INTO `mahasiswa` (`id_mahasiswa`, `nim`, `nama_mhs`, `id_matkul`, `id_angkatan`, `id_semester`) VALUES
(1, 1608561030, 'Putu Asri Sri Sutanti', 382, 13, 1),
(2, 1608561029, 'I Made Wardana', 384, 13, 1),
(3, 1608561032, 'Made Chandra Hendrawan', 382, 13, 1);
-- --------------------------------------------------------
--
-- Table structure for table `matakuliah`
--
CREATE TABLE `matakuliah` (
`id_matkul` int(100) NOT NULL,
`kode_matkul` varchar(100) NOT NULL,
`nidn` int(100) NOT NULL,
`nama_matkul` varchar(100) NOT NULL,
`kelas` varchar(5) NOT NULL,
`jalur` varchar(100) NOT NULL,
`id_semester` int(100) NOT NULL,
`id_angkatan` int(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `matakuliah`
--
INSERT INTO `matakuliah` (`id_matkul`, `kode_matkul`, `nidn`, `nama_matkul`, `kelas`, `jalur`, `id_semester`, `id_angkatan`) VALUES
(214, 'IF1610012', 0, 'Bahasa Inggrisku', 'A', 'aa1', 1, 12),
(216, 'IF1610032', 14016403, 'Bahasa Indonesia', 'A', '-', 1, 12),
(218, 'IF1610053', 7047408, 'Matematika Diskrit I', 'A', '-', 1, 12),
(219, 'IF1610063', 829088401, 'Algoritma & Pemrograman', 'A', '-', 1, 12),
(220, 'IF1610073', 7047408, 'Logika Informatika', 'A', '-', 1, 12),
(221, 'IF1610083', 7047408, 'Sistem Digital ', 'A', '-', 1, 12),
(222, 'IF1620012', 7047408, 'Ilmu Sosial dan Budaya Dasar ', 'A', '-', 2, 12),
(223, 'IF1620022', 14016403, 'Pancasila ', 'A', '-', 2, 12),
(224, 'IF1620033', 6128006, 'Kalkulus II ', 'A', '-', 2, 12),
(225, 'IF1620043', 7047408, 'Statistika Dasar ', 'A', '-', 2, 12),
(226, 'IF1620053', 829088401, 'Struktur Data ', 'A', '-', 2, 12),
(227, 'IF1620063', 7047408, 'Matematika Diskrit II', 'A', '-', 2, 12),
(228, 'IF1620073', 7047408, 'Aljabar Linear Elementer ', 'A', '-', 2, 12),
(229, 'IF1620083', 7047408, 'Praktikum Sistem Digital', 'A', '-', 2, 12),
(230, 'IF1620091', 14016403, 'Praktikum Algoritma & Pemrograman', 'A', '-', 2, 12),
(231, 'IF1630013', 6128006, 'Sistem Operasi ', 'A', '-', 3, 12),
(232, 'IF1630023', 7047408, 'Basis Data ', 'A', '-', 3, 12),
(233, 'IF1630033', 829088401, 'Desain dan Analisis Algoritma ', 'A', '-', 3, 12),
(234, 'IF1630043', 7047408, 'Program Linear ', 'A', '-', 3, 12),
(235, 'IF1630053', 7047408, 'Analisis Numerik', 'A', '-', 3, 12),
(236, 'IF1630063', 7047408, 'Pengantar Kecerdasan Buatan ', 'A', '-', 3, 12),
(237, 'IF1630073', 14016403, 'Pengantar Probabilitas ', 'A', '-', 3, 12),
(238, 'IF1630081', 6128006, 'Praktikum Struktur Data ', 'A', '-', 3, 12),
(239, 'IF1640012', 7047408, 'Etika', 'A', '-', 4, 12),
(240, 'IF1640023', 829088401, 'Rekayasa Perangkat Lunak ', 'A', '-', 4, 12),
(241, 'IF1640033', 7047408, 'Pemrograman Berorientasi Obyek ', 'A', '-', 4, 12),
(242, 'IF1640043', 7047408, 'Riset Operasi ', 'A', '-', 4, 12),
(243, 'IF1640053', 7047408, 'Basis Data Lanjut ', 'A', '-', 4, 12),
(244, 'IF1640063', 14016403, 'Organisasi dan Arsitektur Komputer ', 'A', '-', 4, 12),
(245, 'IF1640073', 6128006, 'Komunikasi Data dan Jaringan Komp. ', 'A', '-', 4, 12),
(246, 'IF1640081', 7047408, 'Praktikum Sistem Operasi', 'A', '-', 4, 12),
(247, 'IF1640091', 829088401, 'Praktikum Basis Data', 'A', '-', 4, 12),
(248, 'IF1650013', 7047408, 'Teori Bahasa dan Otomata ', 'A', '-', 5, 12),
(249, 'IF1650023', 7047408, 'Analisis dan Desain Sistem ', 'A', '-', 5, 12),
(250, 'IF1650033', 7047408, 'Pemodelan dan Simulasi ', 'A', '-', 5, 12),
(251, 'IF1650043', 14016403, 'Grafika Komputer ', 'A', '-', 5, 12),
(252, 'IF1650053', 6128006, 'Pemrograman Berbasis Web ', 'A', '-', 5, 12),
(253, 'IF1650063', 7047408, 'Metode Penelitian ', 'A', '-', 5, 12),
(254, 'IF1650072', 829088401, 'Interaksi Manusia dan Komputer ', 'A', '-', 5, 12),
(255, 'IF1650081', 7047408, 'Praktikum Pemrograman Berorientasi Obyek ', 'A', '-', 5, 12),
(256, 'IF1650091', 7047408, 'Praktikum Komunikasi Data dan Jaringan Komp. ', 'A', '-', 5, 12),
(257, 'IF1660012', 7047408, 'Tata Tulis Karya Ilmiah', 'A', '-', 6, 12),
(258, 'IF1660022', 14016403, 'Kewirausahaan', 'A', '-', 6, 12),
(259, 'IF1660042', 6128006, 'Etika Profesi', 'A', '-', 6, 12),
(260, 'IF1660051', 7047408, 'Praktikum Pemrograman Berbasis Web', 'A', '-', 6, 12),
(261, 'IF1660032', 829088401, 'KKN', 'A', '-', 6, 12),
(262, 'IF1801013', 14016403, 'Penambangan Data Tekstual dan Pemrosesan Bahasan Alami', 'A', '-', 6, 12),
(263, 'IF1801023', 6128006, 'Temu Kembali Informasi Tekstual', 'A', '-', 6, 12),
(264, 'IF1801033', 7047408, 'Pembelajaran Mesin untuk Data Tekstual ', 'A', '-', 6, 12),
(265, 'IF1801043', 829088401, 'Analisis Semantik', 'A', '-', 6, 12),
(266, 'IF1801073', 7047408, 'Manajemen Pengetahuan Semantik ', 'A', '-', 6, 12),
(267, 'IF1801083', 14016403, 'Sistem Manajemen Pengetahuan ', 'A', '-', 6, 12),
(268, 'IF1801093', 6128006, 'Warisan Budaya Digital ', 'A', '-', 6, 12),
(269, 'IF1801103', 7047408, 'Intelijen Bisnis dan Analisis ', 'A', '-', 6, 12),
(270, 'IF1801133', 7047408, 'Pemrosesan Sinyal Digital', 'A', '-', 6, 12),
(271, 'IF1801143', 7047408, 'Pengenalan Pola', 'A', '-', 6, 12),
(272, 'IF1801153', 14016403, 'Sistem Temu Kembali Informasi Musik ', 'A', '-', 6, 12),
(273, 'IF1801163', 6128006, 'Sintesis Bunyi ', 'A', '-', 6, 12),
(274, 'IF1801193', 7047408, 'Pengolahan Bunyi Digital', 'A', '-', 6, 12),
(275, 'IF1801203', 7047408, 'Pengolahan Citra Digital ', 'A', '-', 6, 12),
(276, 'IF1801213', 7047408, 'Kompresi Data Multimedia ', 'A', '-', 6, 12),
(277, 'IF1801223', 14016403, 'Jaringan Multimedia ', 'A', '-', 6, 12),
(278, 'IF1801253', 829088401, 'Kriptografi', 'A', '-', 6, 12),
(279, 'IF1801263', 7047408, 'Kriptoanalisis ', 'A', '-', 6, 12),
(280, 'IF1801273', 7047408, 'Keamanan Sistem Informasi ', 'A', '-', 6, 12),
(281, 'IF1801283', 7047408, 'Forensik Digital', 'A', '-', 6, 12),
(282, 'IF1801313', 7047408, 'Teknologi Nirkabel', 'A', '-', 6, 12),
(283, 'IF1801323', 829088401, 'Jaringan Sensor Terdistribusi ', 'A', '-', 6, 12),
(284, 'IF1801333', 7047408, 'Data Integrasi dan Sensor Web ', 'A', '-', 6, 12),
(285, 'IF1801343', 7047408, 'Pemrosesan Dalam Jaringan ', 'A', '-', 6, 12),
(286, 'IF1801373', 6128006, 'Analisis dan Pengolahan Data Digital', 'A', '-', 6, 12),
(287, 'IF1801383', 7047408, 'Metode Kecerdasan Buatan Lanjut', 'A', '-', 6, 12),
(288, 'IF1801393', 829088401, 'Metode Penalaran', 'A', '-', 6, 12),
(289, 'IF1801403', 7047408, 'Sistem Pakar ', 'A', '-', 6, 12),
(290, 'IF1801433', 14016403, 'Manajemen Proyek Teknologi Informasi', 'A', '-', 6, 12),
(291, 'IF1801443', 6128006, 'Penambangan Data dan Analisis ', 'A', '-', 6, 12),
(292, 'IF1801453', 7047408, 'Pemrograman Berbasis Mobile', 'A', '-', 6, 12),
(293, 'IF1801463', 829088401, 'Gudang Data dan Basis Data Terdistribusi ', 'A', '-', 6, 12),
(294, 'IF1801493', 7047408, 'Kecerdasan Buatan Pada Pengembangan Game ', 'A', '-', 6, 12),
(295, 'IF1801503', 14016403, 'Realitas Virtual dan Tertambah', 'A', '-', 6, 12),
(296, 'IF1801513', 6128006, 'Analisis Antarmuka', 'A', '-', 6, 12),
(297, 'IF1801523', 7047408, 'Visi Komputer ', 'A', '-', 6, 12),
(298, 'IF1610012', 7047408, 'Bahasa Inggris', 'A', '-', 1, 11),
(300, 'IF1610032', 14016403, 'Bahasa Indonesia', 'A', '-', 1, 11),
(302, 'IF1610053', 7047408, 'Matematika Diskrit I', 'A', '-', 1, 11),
(303, 'IF1610063', 829088401, 'Algoritma & Pemrograman', 'A', '-', 1, 11),
(304, 'IF1610073', 7047408, 'Logika Informatika', 'A', '-', 1, 11),
(305, 'IF1610083', 7047408, 'Sistem Digital ', 'A', '-', 1, 11),
(306, 'IF1620012', 7047408, 'Ilmu Sosial dan Budaya Dasar ', 'A', '-', 2, 11),
(307, 'IF1620022', 14016403, 'Pancasila ', 'A', '-', 2, 11),
(308, 'IF1620033', 6128006, 'Kalkulus II ', 'A', '-', 2, 11),
(309, 'IF1620043', 7047408, 'Statistika Dasar ', 'A', '-', 2, 11),
(310, 'IF1620053', 829088401, 'Struktur Data ', 'A', '-', 2, 11),
(311, 'IF1620063', 7047408, 'Matematika Diskrit II', 'A', '-', 2, 11),
(312, 'IF1620073', 7047408, 'Aljabar Linear Elementer ', 'A', '-', 2, 11),
(313, 'IF1620083', 7047408, 'Praktikum Sistem Digital', 'A', '-', 2, 11),
(314, 'IF1620091', 14016403, 'Praktikum Algoritma & Pemrograman', 'A', '-', 2, 11),
(315, 'IF1630013', 6128006, 'Sistem Operasi ', 'A', '-', 3, 11),
(316, 'IF1630023', 7047408, 'Basis Data ', 'A', '-', 3, 11),
(317, 'IF1630033', 829088401, 'Desain dan Analisis Algoritma ', 'A', '-', 3, 11),
(318, 'IF1630043', 7047408, 'Program Linear ', 'A', '-', 3, 11),
(319, 'IF1630053', 7047408, 'Analisis Numerik', 'A', '-', 3, 11),
(320, 'IF1630063', 7047408, 'Pengantar Kecerdasan Buatan ', 'A', '-', 3, 11),
(321, 'IF1630073', 14016403, 'Pengantar Probabilitas ', 'A', '-', 3, 11),
(322, 'IF1630081', 6128006, 'Praktikum Struktur Data ', 'A', '-', 3, 11),
(323, 'IF1640012', 7047408, 'Etika', 'A', '-', 4, 11),
(324, 'IF1640023', 829088401, 'Rekayasa Perangkat Lunak ', 'A', '-', 4, 11),
(325, 'IF1640033', 7047408, 'Pemrograman Berorientasi Obyek ', 'A', '-', 4, 11),
(326, 'IF1640043', 7047408, 'Riset Operasi ', 'A', '-', 4, 11),
(327, 'IF1640053', 7047408, 'Basis Data Lanjut ', 'A', '-', 4, 11),
(328, 'IF1640063', 14016403, 'Organisasi dan Arsitektur Komputer ', 'A', '-', 4, 11),
(329, 'IF1640073', 6128006, 'Komunikasi Data dan Jaringan Komp. ', 'A', '-', 4, 11),
(330, 'IF1640081', 7047408, 'Praktikum Sistem Operasi', 'A', '-', 4, 11),
(331, 'IF1640091', 829088401, 'Praktikum Basis Data', 'A', '-', 4, 11),
(332, 'IF1650013', 7047408, 'Teori Bahasa dan Otomata ', 'A', '-', 5, 11),
(333, 'IF1650023', 7047408, 'Analisis dan Desain Sistem ', 'A', '-', 5, 11),
(334, 'IF1650033', 7047408, 'Pemodelan dan Simulasi ', 'A', '-', 5, 11),
(335, 'IF1650043', 14016403, 'Grafika Komputer ', 'A', '-', 5, 11),
(336, 'IF1650053', 6128006, 'Pemrograman Berbasis Web ', 'A', '-', 5, 11),
(337, 'IF1650063', 7047408, 'Metode Penelitian ', 'A', '-', 5, 11),
(338, 'IF1650072', 829088401, 'Interaksi Manusia dan Komputer ', 'A', '-', 5, 11),
(339, 'IF1650081', 7047408, 'Praktikum Pemrograman Berorientasi Obyek ', 'A', '-', 5, 11),
(340, 'IF1650091', 7047408, 'Praktikum Komunikasi Data dan Jaringan Komp. ', 'A', '-', 5, 11),
(341, 'IF1660012', 7047408, 'Tata Tulis Karya Ilmiah', 'A', '-', 6, 11),
(342, 'IF1660022', 14016403, 'Kewirausahaan', 'A', '-', 6, 11),
(343, 'IF1660042', 6128006, 'Etika Profesi', 'A', '-', 6, 11),
(344, 'IF1660051', 7047408, 'Praktikum Pemrograman Berbasis Web', 'A', '-', 6, 11),
(345, 'IF1660032', 829088401, 'KKN', 'A', '-', 6, 11),
(346, 'IF1801013', 14016403, 'Penambangan Data Tekstual dan Pemrosesan Bahasan Alami', 'A', '-', 6, 11),
(347, 'IF1801023', 6128006, 'Temu Kembali Informasi Tekstual', 'A', '-', 6, 11),
(348, 'IF1801033', 7047408, 'Pembelajaran Mesin untuk Data Tekstual ', 'A', '-', 6, 11),
(349, 'IF1801043', 829088401, 'Analisis Semantik', 'A', '-', 6, 11),
(350, 'IF1801073', 7047408, 'Manajemen Pengetahuan Semantik ', 'A', '-', 6, 11),
(351, 'IF1801083', 14016403, 'Sistem Manajemen Pengetahuan ', 'A', '-', 6, 11),
(352, 'IF1801093', 6128006, 'Warisan Budaya Digital ', 'A', '-', 6, 11),
(353, 'IF1801103', 7047408, 'Intelijen Bisnis dan Analisis ', 'A', '-', 6, 11),
(354, 'IF1801133', 7047408, 'Pemrosesan Sinyal Digital', 'A', '-', 6, 11),
(355, 'IF1801143', 7047408, 'Pengenalan Pola', 'A', '-', 6, 11),
(356, 'IF1801153', 14016403, 'Sistem Temu Kembali Informasi Musik ', 'A', '-', 6, 11),
(357, 'IF1801163', 6128006, 'Sintesis Bunyi ', 'A', '-', 6, 11),
(358, 'IF1801193', 7047408, 'Pengolahan Bunyi Digital', 'A', '-', 6, 11),
(359, 'IF1801203', 7047408, 'Pengolahan Citra Digital ', 'A', '-', 6, 11),
(360, 'IF1801213', 7047408, 'Kompresi Data Multimedia ', 'A', '-', 6, 11),
(361, 'IF1801223', 14016403, 'Jaringan Multimedia ', 'A', '-', 6, 11),
(362, 'IF1801253', 829088401, 'Kriptografi', 'A', '-', 6, 11),
(363, 'IF1801263', 7047408, 'Kriptoanalisis ', 'A', '-', 6, 11),
(364, 'IF1801273', 7047408, 'Keamanan Sistem Informasi ', 'A', '-', 6, 11),
(365, 'IF1801283', 7047408, 'Forensik Digital', 'A', '-', 6, 11),
(366, 'IF1801313', 7047408, 'Teknologi Nirkabel', 'A', '-', 6, 11),
(367, 'IF1801323', 829088401, 'Jaringan Sensor Terdistribusi ', 'A', '-', 6, 11),
(368, 'IF1801333', 7047408, 'Data Integrasi dan Sensor Web ', 'A', '-', 6, 11),
(369, 'IF1801343', 7047408, 'Pemrosesan Dalam Jaringan ', 'A', '-', 6, 11),
(370, 'IF1801373', 6128006, 'Analisis dan Pengolahan Data Digital', 'A', '-', 6, 11),
(371, 'IF1801383', 7047408, 'Metode Kecerdasan Buatan Lanjut', 'A', '-', 6, 11),
(372, 'IF1801393', 829088401, 'Metode Penalaran', 'A', '-', 6, 11),
(373, 'IF1801403', 7047408, 'Sistem Pakar ', 'A', '-', 6, 11),
(374, 'IF1801433', 14016403, 'Manajemen Proyek Teknologi Informasi', 'A', '-', 6, 11),
(375, 'IF1801443', 6128006, 'Penambangan Data dan Analisis ', 'A', '-', 6, 11),
(376, 'IF1801453', 7047408, 'Pemrograman Berbasis Mobile', 'A', '-', 6, 11),
(377, 'IF1801463', 829088401, 'Gudang Data dan Basis Data Terdistribusi ', 'A', '-', 6, 11),
(378, 'IF1801493', 7047408, 'Kecerdasan Buatan Pada Pengembangan Game ', 'A', '-', 6, 11),
(379, 'IF1801503', 14016403, 'Realitas Virtual dan Tertambah', 'A', '-', 6, 11),
(380, 'IF1801513', 6128006, 'Analisis Antarmuka', 'A', '-', 6, 11),
(381, 'IF1801523', 7047408, 'Visi Komputer ', 'A', '-', 6, 11),
(382, 'IF1610012', 7047408, 'Bahasa Inggris', 'A', '-', 1, 13),
(384, 'IF1610032', 14016403, 'Bahasa Indonesia', 'A', '-', 1, 13),
(386, 'IF1610053', 7047408, 'Matematika Diskrit I', 'A', '-', 1, 13),
(387, 'IF1610063', 829088401, 'Algoritma & Pemrograman', 'A', '-', 1, 13),
(388, 'IF1610073', 7047408, 'Logika Informatika', 'A', '-', 1, 13),
(389, 'IF1610083', 7047408, 'Sistem Digital ', 'A', '-', 1, 13),
(390, 'IF1620012', 7047408, 'Ilmu Sosial dan Budaya Dasar ', 'A', '-', 2, 13),
(391, 'IF1620022', 14016403, 'Pancasila ', 'A', '-', 2, 13),
(392, 'IF1620033', 6128006, 'Kalkulus II ', 'A', '-', 2, 13),
(393, 'IF1620043', 7047408, 'Statistika Dasar ', 'A', '-', 2, 13),
(394, 'IF1620053', 829088401, 'Struktur Data ', 'A', '-', 2, 13),
(395, 'IF1620063', 7047408, 'Matematika Diskrit II', 'A', '-', 2, 13),
(396, 'IF1620073', 7047408, 'Aljabar Linear Elementer ', 'A', '-', 2, 13),
(397, 'IF1620083', 7047408, 'Praktikum Sistem Digital', 'A', '-', 2, 13),
(398, 'IF1620091', 14016403, 'Praktikum Algoritma & Pemrograman', 'A', '-', 2, 13),
(399, 'IF1630013', 6128006, 'Sistem Operasi ', 'A', '-', 3, 13),
(400, 'IF1630023', 7047408, 'Basis Data ', 'A', '-', 3, 13),
(401, 'IF1630033', 829088401, 'Desain dan Analisis Algoritma ', 'A', '-', 3, 13),
(402, 'IF1630043', 7047408, 'Program Linear ', 'A', '-', 3, 13),
(403, 'IF1630053', 7047408, 'Analisis Numerik', 'A', '-', 3, 13),
(404, 'IF1630063', 7047408, 'Pengantar Kecerdasan Buatan ', 'A', '-', 3, 13),
(405, 'IF1630073', 14016403, 'Pengantar Probabilitas ', 'A', '-', 3, 13),
(406, 'IF1630081', 6128006, 'Praktikum Struktur Data ', 'A', '-', 3, 13),
(407, 'IF1640012', 7047408, 'Etika', 'A', '-', 4, 13),
(408, 'IF1640023', 829088401, 'Rekayasa Perangkat Lunak ', 'A', '-', 4, 13),
(409, 'IF1640033', 7047408, 'Pemrograman Berorientasi Obyek ', 'A', '-', 4, 13),
(410, 'IF1640043', 7047408, 'Riset Operasi ', 'A', '-', 4, 13),
(411, 'IF1640053', 7047408, 'Basis Data Lanjut ', 'A', '-', 4, 13),
(412, 'IF1640063', 14016403, 'Organisasi dan Arsitektur Komputer ', 'A', '-', 4, 13),
(413, 'IF1640073', 6128006, 'Komunikasi Data dan Jaringan Komp. ', 'A', '-', 4, 13),
(414, 'IF1640081', 7047408, 'Praktikum Sistem Operasi', 'A', '-', 4, 13),
(415, 'IF1640091', 829088401, 'Praktikum Basis Data', 'A', '-', 4, 13),
(416, 'IF1650013', 7047408, 'Teori Bahasa dan Otomata ', 'A', '-', 5, 13),
(417, 'IF1650023', 7047408, 'Analisis dan Desain Sistem ', 'A', '-', 5, 13),
(418, 'IF1650033', 7047408, 'Pemodelan dan Simulasi ', 'A', '-', 5, 13),
(419, 'IF1650043', 14016403, 'Grafika Komputer ', 'A', '-', 5, 13),
(420, 'IF1650053', 6128006, 'Pemrograman Berbasis Web ', 'A', '-', 5, 13),
(421, 'IF1650063', 7047408, 'Metode Penelitian ', 'A', '-', 5, 13),
(422, 'IF1650072', 829088401, 'Interaksi Manusia dan Komputer ', 'A', '-', 5, 13),
(423, 'IF1650081', 7047408, 'Praktikum Pemrograman Berorientasi Obyek ', 'A', '-', 5, 13),
(424, 'IF1650091', 7047408, 'Praktikum Komunikasi Data dan Jaringan Komp. ', 'A', '-', 5, 13),
(425, 'IF1660012', 7047408, 'Tata Tulis Karya Ilmiah', 'A', '-', 6, 13),
(426, 'IF1660022', 14016403, 'Kewirausahaan', 'A', '-', 6, 13),
(427, 'IF1660042', 6128006, 'Etika Profesi', 'A', '-', 6, 13),
(428, 'IF1660051', 7047408, 'Praktikum Pemrograman Berbasis Web', 'A', '-', 6, 13),
(429, 'IF1660032', 829088401, 'KKN', 'A', '-', 6, 13),
(430, 'IF1801013', 14016403, 'Penambangan Data Tekstual dan Pemrosesan Bahasan Alami', 'A', '-', 6, 13),
(431, 'IF1801023', 6128006, 'Temu Kembali Informasi Tekstual', 'A', '-', 6, 13),
(432, 'IF1801033', 7047408, 'Pembelajaran Mesin untuk Data Tekstual ', 'A', '-', 6, 13),
(433, 'IF1801043', 829088401, 'Analisis Semantik', 'A', '-', 6, 13),
(434, 'IF1801073', 7047408, 'Manajemen Pengetahuan Semantik ', 'A', '-', 6, 13),
(435, 'IF1801083', 14016403, 'Sistem Manajemen Pengetahuan ', 'A', '-', 6, 13),
(436, 'IF1801093', 6128006, 'Warisan Budaya Digital ', 'A', '-', 6, 13),
(437, 'IF1801103', 7047408, 'Intelijen Bisnis dan Analisis ', 'A', '-', 6, 13),
(438, 'IF1801133', 7047408, 'Pemrosesan Sinyal Digital', 'A', '-', 6, 13),
(439, 'IF1801143', 7047408, 'Pengenalan Pola', 'A', '-', 6, 13),
(440, 'IF1801153', 14016403, 'Sistem Temu Kembali Informasi Musik ', 'A', '-', 6, 13),
(441, 'IF1801163', 6128006, 'Sintesis Bunyi ', 'A', '-', 6, 13),
(442, 'IF1801193', 7047408, 'Pengolahan Bunyi Digital', 'A', '-', 6, 13),
(443, 'IF1801203', 7047408, 'Pengolahan Citra Digital ', 'A', '-', 6, 13),
(444, 'IF1801213', 7047408, 'Kompresi Data Multimedia ', 'A', '-', 6, 13),
(445, 'IF1801223', 14016403, 'Jaringan Multimedia ', 'A', '-', 6, 13),
(446, 'IF1801253', 829088401, 'Kriptografi', 'A', '-', 6, 13),
(447, 'IF1801263', 7047408, 'Kriptoanalisis ', 'A', '-', 6, 13),
(448, 'IF1801273', 7047408, 'Keamanan Sistem Informasi ', 'A', '-', 6, 13),
(449, 'IF1801283', 7047408, 'Forensik Digital', 'A', '-', 6, 13),
(450, 'IF1801313', 7047408, 'Teknologi Nirkabel', 'A', '-', 6, 13),
(451, 'IF1801323', 829088401, 'Jaringan Sensor Terdistribusi ', 'A', '-', 6, 13),
(452, 'IF1801333', 7047408, 'Data Integrasi dan Sensor Web ', 'A', '-', 6, 13),
(453, 'IF1801343', 7047408, 'Pemrosesan Dalam Jaringan ', 'A', '-', 6, 13),
(454, 'IF1801373', 6128006, 'Analisis dan Pengolahan Data Digital', 'A', '-', 6, 13),
(455, 'IF1801383', 7047408, 'Metode Kecerdasan Buatan Lanjut', 'A', '-', 6, 13),
(456, 'IF1801393', 829088401, 'Metode Penalaran', 'A', '-', 6, 13),
(457, 'IF1801403', 7047408, 'Sistem Pakar ', 'A', '-', 6, 13),
(458, 'IF1801433', 14016403, 'Manajemen Proyek Teknologi Informasi', 'A', '-', 6, 13),
(459, 'IF1801443', 6128006, 'Penambangan Data dan Analisis ', 'A', '-', 6, 13),
(460, 'IF1801453', 7047408, 'Pemrograman Berbasis Mobile', 'A', '-', 6, 13),
(461, 'IF1801463', 829088401, 'Gudang Data dan Basis Data Terdistribusi ', 'A', '-', 6, 13),
(462, 'IF1801493', 7047408, 'Kecerdasan Buatan Pada Pengembangan Game ', 'A', '-', 6, 13),
(463, 'IF1801503', 14016403, 'Realitas Virtual dan Tertambah', 'A', '-', 6, 13),
(464, 'IF1801513', 6128006, 'Analisis Antarmuka', 'A', '-', 6, 13),
(465, 'IF1801523', 7047408, 'Visi Komputer ', 'A', '-', 6, 13),
(466, 'IF1234456', 0, 'coba', 'A', '-', 1, 13),
(467, 'IK1234512', 6128006, 'Fira', 'B', '-', 2, 12),
(468, 'IF123445QWQW', 0, 'wdwd1', 'A', '-', 1, 12);
-- --------------------------------------------------------
--
-- Table structure for table `materi`
--
CREATE TABLE `materi` (
`kode_materi` int(100) NOT NULL,
`id_matkul` int(100) NOT NULL,
`nama_materi` varchar(100) NOT NULL,
`deskripsi` varchar(200) NOT NULL,
`file` varchar(100) NOT NULL,
`tanggal_post` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `materi`
--
INSERT INTO `materi` (`kode_materi`, `id_matkul`, `nama_materi`, `deskripsi`, `file`, `tanggal_post`) VALUES
(1, 382, 'aqaqaq112dDdAD', 'adadasdas2313', 'materi', '2020-01-07 04:48:00'),
(2, 382, 'ayo belajar 1', 'ayo ayo', '1578374647_Pertemuan_III.ppt', '2020-01-07 05:24:07'),
(3, 382, 'coba', '23ewfdwef2d', '1578375302_1578374647_Pertemuan_III (3).ppt', '2020-01-07 05:35:02');
-- --------------------------------------------------------
--
-- Table structure for table `nilai`
--
CREATE TABLE `nilai` (
`id_mahasiswa` int(100) NOT NULL,
`id_matkul` int(100) NOT NULL,
`id_nilai` int(100) NOT NULL,
`nilai_mandiri` double NOT NULL,
`nilai_kelompok` double NOT NULL,
`nilai_keaktifan` double NOT NULL,
`nilai_quiz` double NOT NULL,
`nilai_uts` double NOT NULL,
`nilai_uas` double NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `nilai_keaktifan`
--
CREATE TABLE `nilai_keaktifan` (
`id_mahasiswa` int(100) NOT NULL,
`id_matkul` int(100) NOT NULL,
`id_nilai` int(100) NOT NULL,
`nilai_keaktifan` double NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `nilai_keaktifan`
--
INSERT INTO `nilai_keaktifan` (`id_mahasiswa`, `id_matkul`, `id_nilai`, `nilai_keaktifan`) VALUES
(1, 382, 1, 12),
(1, 382, 2, 12);
-- --------------------------------------------------------
--
-- Table structure for table `nilai_kelompok`
--
CREATE TABLE `nilai_kelompok` (
`id_mahasiswa` int(100) NOT NULL,
`id_matkul` int(100) NOT NULL,
`id_nilai` int(100) NOT NULL,
`nilai_kelompok` double NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `nilai_kelompok`
--
INSERT INTO `nilai_kelompok` (`id_mahasiswa`, `id_matkul`, `id_nilai`, `nilai_kelompok`) VALUES
(1, 382, 1, 21);
-- --------------------------------------------------------
--
-- Table structure for table `nilai_mandiri`
--
CREATE TABLE `nilai_mandiri` (
`id_mahasiswa` int(11) NOT NULL,
`id_matkul` int(11) NOT NULL,
`id_nilai` int(11) NOT NULL,
`nilai_mandiri` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `nilai_mandiri`
--
INSERT INTO `nilai_mandiri` (`id_mahasiswa`, `id_matkul`, `id_nilai`, `nilai_mandiri`) VALUES
(1, 382, 2, 10),
(1, 382, 3, 80);
-- --------------------------------------------------------
--
-- Table structure for table `nilai_quiz`
--
CREATE TABLE `nilai_quiz` (
`id_nilai` int(100) NOT NULL,
`id_matkul` int(100) NOT NULL,
`id_mahasiswa` int(100) NOT NULL,
`nilai_quiz` double NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `nilai_quiz`
--
INSERT INTO `nilai_quiz` (`id_nilai`, `id_matkul`, `id_mahasiswa`, `nilai_quiz`) VALUES
(1, 382, 1, 12),
(2, 382, 1, 12),
(3, 382, 1, 12);
-- --------------------------------------------------------
--
-- Table structure for table `nilai_uts_uas`
--
CREATE TABLE `nilai_uts_uas` (
`id_nilai` int(100) NOT NULL,
`id_mahasiswa` int(100) NOT NULL,
`id_matkul` int(100) NOT NULL,
`nilai_uts` double NOT NULL,
`nilai_uas` double NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `nilai_uts_uas`
--
INSERT INTO `nilai_uts_uas` (`id_nilai`, `id_mahasiswa`, `id_matkul`, `nilai_uts`, `nilai_uas`) VALUES
(2, 1, 382, 11, 10);
-- --------------------------------------------------------
--
-- Table structure for table `proses`
--
CREATE TABLE `proses` (
`id_proses` int(100) NOT NULL,
`bobot` int(100) NOT NULL,
`id_semester` int(100) NOT NULL,
`id_matkul` int(100) NOT NULL,
`nidn` int(100) NOT NULL,
`id_angkatan` int(100) NOT NULL,
`fileKontrakKuliah` varchar(100) NOT NULL,
`fileRPS` varchar(100) NOT NULL,
`deskripsi` varchar(500) NOT NULL,
`tanggalPost` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `referensi`
--
CREATE TABLE `referensi` (
`id_referensi` int(10) NOT NULL,
`jenis` text NOT NULL,
`penulis` text NOT NULL,
`judul` text NOT NULL,
`edisi` int(10) NOT NULL,
`tahun` int(10) NOT NULL,
`kota` text NOT NULL,
`penerbit` text NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `referensi`
--
INSERT INTO `referensi` (`id_referensi`, `jenis`, `penulis`, `judul`, `edisi`, `tahun`, `kota`, `penerbit`) VALUES
(1, 'qweqweqwe', 'asfasfafs', 'asfasfasf', 1, 2019, 'SDFsdf', 'sDfSDF'),
(2, 'buku', 'qweqwewqe', 'qweqwe', 2, 2010, 'qwqwqw', 'asdasd');
-- --------------------------------------------------------
--
-- Table structure for table `rekap_nilai`
--
CREATE TABLE `rekap_nilai` (
`id_nilai` int(100) NOT NULL,
`nilai_keaktifan` double NOT NULL,
`nilai_kelompok` double NOT NULL,
`nilai_mandiri` double NOT NULL,
`nilai_quiz` double NOT NULL,
`nilai_uts` double NOT NULL,
`nilai_uas` double NOT NULL,
`id_matkul` int(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `rekap_nilai`
--
INSERT INTO `rekap_nilai` (`id_nilai`, `nilai_keaktifan`, `nilai_kelompok`, `nilai_mandiri`, `nilai_quiz`, `nilai_uts`, `nilai_uas`, `id_matkul`) VALUES
(1, 10, 10, 20, 10, 25, 25, 1);
-- --------------------------------------------------------
--
-- Table structure for table `rencana_pembelajaran`
--
CREATE TABLE `rencana_pembelajaran` (
`id_rencana_pembelajaran` int(10) NOT NULL,
`minggu_ke` int(10) NOT NULL,
`kemampuan_akhir` longtext NOT NULL,
`bahan_kajian` text NOT NULL,
`metode` text NOT NULL,
`waktu` int(100) NOT NULL,
`pengalaman_belajar` text NOT NULL,
`bobot_nilai` int(10) NOT NULL,
`id_referensi` int(10) NOT NULL,
`id_matkul` int(100) NOT NULL,
`id_semester` int(100) NOT NULL,
`nidn` int(100) NOT NULL,
`id_kriteria` int(100) NOT NULL,
`id_cp` int(100) NOT NULL,
`id_cpl` int(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `rencana_pembelajaran`
--
INSERT INTO `rencana_pembelajaran` (`id_rencana_pembelajaran`, `minggu_ke`, `kemampuan_akhir`, `bahan_kajian`, `metode`, `waktu`, `pengalaman_belajar`, `bobot_nilai`, `id_referensi`, `id_matkul`, `id_semester`, `nidn`, `id_kriteria`, `id_cp`, `id_cpl`) VALUES
(0, 11, 'asd', 'asd', 'asd', 150, 'asdasdas', 4, 1, 214, 2, 7047408, 4, 4, 2),
(5, 11, 'asd', 'asd', 'asd', 150, 'asd', 4, 1, 214, 2, 7047408, 4, 4, 2),
(7, 1, 'asd', 'asd', 'asd', 150, 'asd', 5, 1, 214, 1, 0, 2, 2, 2);
-- --------------------------------------------------------
--
-- Table structure for table `semester`
--
CREATE TABLE `semester` (
`id_semester` int(100) NOT NULL,
`tahun_ajar` varchar(200) NOT NULL,
`semester` int(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `semester`
--
INSERT INTO `semester` (`id_semester`, `tahun_ajar`, `semester`) VALUES
(1, 'Ganjil-2016/2017', 1),
(2, 'Genap-2016/2017', 2),
(3, 'Ganjil-2017/2018', 3),
(4, 'Genap-2017/2018', 4),
(5, 'Ganjil-2018/2019', 5),
(6, 'Genap-2018/2019', 6);
-- --------------------------------------------------------
--
-- Table structure for table `template`
--
CREATE TABLE `template` (
`id_template` int(100) NOT NULL,
`nama_template` varchar(100) NOT NULL,
`file` varchar(100) NOT NULL,
`tgl_post` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `template`
--
INSERT INTO `template` (`id_template`, `nama_template`, `file`, `tgl_post`) VALUES
(3, 'Pertemuan I', '1578330793_Pertemuan I.ppt', '2020-01-06 17:13:14'),
(4, 'Pertemuan II', '1578330970_Pertemuan II.ppt', '2020-01-06 17:16:10'),
(5, 'Pertemuan III', '1578330993_Pertemuan III.ppt', '2020-01-06 17:16:33'),
(6, 'Pertemuan IV', '1578331015_Pertemuan IV.ppt', '2020-01-06 17:16:56'),
(7, 'Pertemuan V', '1578331042_Pertemuan V.ppt', '2020-01-06 17:17:22'),
(8, 'Pertemuan VI', '1578331063_Pertemuan VI.ppt', '2020-01-06 17:17:43'),
(9, 'Pertemuan VII', '1578331093_Pertemuan VII.ppt', '2020-01-06 17:18:13'),
(10, 'Pertemuan VIII', '1578331120_Pertemuan VIII.ppt', '2020-01-06 17:18:40'),
(11, 'Pertemuan IX', '1578331160_Pertemuan IX.ppt', '2020-01-06 17:19:20'),
(12, 'Pertemuan X', '1578331187_Pertemuan X.ppt', '2020-01-06 17:19:47'),
(14, 'Pertemuan XI', '1578331268_Pertemuan XI.ppt', '2020-01-06 17:21:08'),
(15, 'Pertemuan XII', '1578331292_Pertemuan XII.ppt', '2020-01-06 17:21:32'),
(16, 'Pertemuan XIII', '1578331315_Pertemuan XIII.ppt', '2020-01-06 17:21:55'),
(17, 'Pertemuan XIV', '1578331361_Pertemuan XIV.ppt', '2020-01-06 17:22:41'),
(18, 'Pertemuan XV', '1578331390_Pertemuan XV.ppt', '2020-01-06 17:23:10'),
(19, 'Pertemuan XVI', '1578331435_Pertemuan XVI.ppt', '2020-01-06 17:23:55');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `admin`
--
ALTER TABLE `admin`
ADD PRIMARY KEY (`id_admin`);
--
-- Indexes for table `angkatan`
--
ALTER TABLE `angkatan`
ADD PRIMARY KEY (`id_angkatan`);
--
-- Indexes for table `cpl_prodi`
--
ALTER TABLE `cpl_prodi`
ADD PRIMARY KEY (`id_cpl`);
--
-- Indexes for table `cp_mk`
--
ALTER TABLE `cp_mk`
ADD PRIMARY KEY (`id_cp`);
--
-- Indexes for table `dosen`
--
ALTER TABLE `dosen`
ADD PRIMARY KEY (`nidn`,`nip`);
--
-- Indexes for table `kontrak_kuliah`
--
ALTER TABLE `kontrak_kuliah`
ADD PRIMARY KEY (`id_kontrak_kuliah`),
ADD KEY `id_matkul` (`id_matkul`),
ADD KEY `id_semester` (`id_semester`),
ADD KEY `nidn` (`nidn`);
--
-- Indexes for table `kriteria_penilaian`
--
ALTER TABLE `kriteria_penilaian`
ADD PRIMARY KEY (`id_kriteria`);
--
-- Indexes for table `mahasiswa`
--
ALTER TABLE `mahasiswa`
ADD PRIMARY KEY (`id_mahasiswa`,`nim`),
ADD KEY `id_matkul` (`id_matkul`),
ADD KEY `id_angkatan` (`id_angkatan`),
ADD KEY `id_semester` (`id_semester`);
--
-- Indexes for table `matakuliah`
--
ALTER TABLE `matakuliah`
ADD PRIMARY KEY (`id_matkul`) USING BTREE,
ADD KEY `id_semester` (`id_semester`),
ADD KEY `id_angkatan` (`id_angkatan`),
ADD KEY `nidn` (`nidn`);
--
-- Indexes for table `materi`
--
ALTER TABLE `materi`
ADD PRIMARY KEY (`kode_materi`) USING BTREE,
ADD KEY `id_matkul` (`id_matkul`);
--
-- Indexes for table `nilai`
--
ALTER TABLE `nilai`
ADD PRIMARY KEY (`id_nilai`),
ADD KEY `id_mahasiswa` (`id_mahasiswa`),
ADD KEY `id_matkul` (`id_matkul`);
--
-- Indexes for table `nilai_keaktifan`
--
ALTER TABLE `nilai_keaktifan`
ADD PRIMARY KEY (`id_nilai`),
ADD KEY `id_mahasiswa` (`id_mahasiswa`),
ADD KEY `id_matkul` (`id_matkul`);
--
-- Indexes for table `nilai_kelompok`
--
ALTER TABLE `nilai_kelompok`
ADD PRIMARY KEY (`id_nilai`);
--
-- Indexes for table `nilai_mandiri`
--
ALTER TABLE `nilai_mandiri`
ADD PRIMARY KEY (`id_nilai`),
ADD KEY `id_mahasiswa` (`id_mahasiswa`),
ADD KEY `id_matkul` (`id_matkul`);
--
-- Indexes for table `nilai_quiz`
--
ALTER TABLE `nilai_quiz`
ADD PRIMARY KEY (`id_nilai`),
ADD KEY `id_matkul` (`id_matkul`),
ADD KEY `id_mahasiswa` (`id_mahasiswa`);
--
-- Indexes for table `nilai_uts_uas`
--
ALTER TABLE `nilai_uts_uas`
ADD PRIMARY KEY (`id_nilai`),
ADD KEY `id_mahasiswa` (`id_mahasiswa`),
ADD KEY `id_matkul` (`id_matkul`);
--
-- Indexes for table `proses`
--
ALTER TABLE `proses`
ADD PRIMARY KEY (`id_proses`),
ADD KEY `id_semester` (`id_semester`),
ADD KEY `id_matkul` (`id_matkul`),
ADD KEY `nidn` (`nidn`),
ADD KEY `id_angkatan` (`id_angkatan`);
--
-- Indexes for table `referensi`
--
ALTER TABLE `referensi`
ADD PRIMARY KEY (`id_referensi`);
--
-- Indexes for table `rekap_nilai`
--
ALTER TABLE `rekap_nilai`
ADD PRIMARY KEY (`id_nilai`);
--
-- Indexes for table `rencana_pembelajaran`
--
ALTER TABLE `rencana_pembelajaran`
ADD PRIMARY KEY (`id_rencana_pembelajaran`),
ADD KEY `id_referensi` (`id_referensi`),
ADD KEY `id_matkul` (`id_matkul`),
ADD KEY `id_semester` (`id_semester`),
ADD KEY `nidn` (`nidn`),
ADD KEY `id_cp` (`id_cp`),
ADD KEY `id_cpl` (`id_cpl`),
ADD KEY `id_kriteria` (`id_kriteria`);
--
-- Indexes for table `semester`
--
ALTER TABLE `semester`
ADD PRIMARY KEY (`id_semester`);
--
-- Indexes for table `template`
--
ALTER TABLE `template`
ADD PRIMARY KEY (`id_template`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `admin`
--
ALTER TABLE `admin`
MODIFY `id_admin` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `angkatan`
--
ALTER TABLE `angkatan`
MODIFY `id_angkatan` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=21;
--
-- AUTO_INCREMENT for table `cpl_prodi`
--
ALTER TABLE `cpl_prodi`
MODIFY `id_cpl` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT for table `cp_mk`
--
ALTER TABLE `cp_mk`
MODIFY `id_cp` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT for table `kontrak_kuliah`
--
ALTER TABLE `kontrak_kuliah`
MODIFY `id_kontrak_kuliah` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT for table `kriteria_penilaian`
--
ALTER TABLE `kriteria_penilaian`
MODIFY `id_kriteria` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `mahasiswa`
--
ALTER TABLE `mahasiswa`
MODIFY `id_mahasiswa` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `matakuliah`
--
ALTER TABLE `matakuliah`
MODIFY `id_matkul` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=469;
--
-- AUTO_INCREMENT for table `materi`
--
ALTER TABLE `materi`
MODIFY `kode_materi` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `nilai`
--
ALTER TABLE `nilai`
MODIFY `id_nilai` int(100) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `nilai_keaktifan`
--
ALTER TABLE `nilai_keaktifan`
MODIFY `id_nilai` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT for table `nilai_kelompok`
--
ALTER TABLE `nilai_kelompok`
MODIFY `id_nilai` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `nilai_mandiri`
--
ALTER TABLE `nilai_mandiri`
MODIFY `id_nilai` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `nilai_quiz`
--
ALTER TABLE `nilai_quiz`
MODIFY `id_nilai` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `nilai_uts_uas`
--
ALTER TABLE `nilai_uts_uas`
MODIFY `id_nilai` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT for table `proses`
--
ALTER TABLE `proses`
MODIFY `id_proses` int(100) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `referensi`
--
ALTER TABLE `referensi`
MODIFY `id_referensi` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT for table `rekap_nilai`
--
ALTER TABLE `rekap_nilai`
MODIFY `id_nilai` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `rencana_pembelajaran`
--
ALTER TABLE `rencana_pembelajaran`
MODIFY `id_rencana_pembelajaran` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT for table `semester`
--
ALTER TABLE `semester`
MODIFY `id_semester` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT for table `template`
--
ALTER TABLE `template`
MODIFY `id_template` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=20;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `kontrak_kuliah`
--
ALTER TABLE `kontrak_kuliah`
ADD CONSTRAINT `kontrak_kuliah_ibfk_1` FOREIGN KEY (`id_matkul`) REFERENCES `matakuliah` (`id_matkul`),
ADD CONSTRAINT `kontrak_kuliah_ibfk_2` FOREIGN KEY (`id_semester`) REFERENCES `semester` (`id_semester`),
ADD CONSTRAINT `kontrak_kuliah_ibfk_3` FOREIGN KEY (`nidn`) REFERENCES `dosen` (`nidn`);
--
-- Constraints for table `mahasiswa`
--
ALTER TABLE `mahasiswa`
ADD CONSTRAINT `mahasiswa_ibfk_1` FOREIGN KEY (`id_matkul`) REFERENCES `matakuliah` (`id_matkul`),
ADD CONSTRAINT `mahasiswa_ibfk_2` FOREIGN KEY (`id_angkatan`) REFERENCES `angkatan` (`id_angkatan`),
ADD CONSTRAINT `mahasiswa_ibfk_3` FOREIGN KEY (`id_semester`) REFERENCES `semester` (`id_semester`);
--
-- Constraints for table `matakuliah`
--
ALTER TABLE `matakuliah`
ADD CONSTRAINT `matakuliah_ibfk_2` FOREIGN KEY (`id_semester`) REFERENCES `semester` (`id_semester`),
ADD CONSTRAINT `matakuliah_ibfk_3` FOREIGN KEY (`id_angkatan`) REFERENCES `angkatan` (`id_angkatan`),
ADD CONSTRAINT `matakuliah_ibfk_4` FOREIGN KEY (`nidn`) REFERENCES `dosen` (`nidn`);
--
-- Constraints for table `materi`
--
ALTER TABLE `materi`
ADD CONSTRAINT `materi_ibfk_1` FOREIGN KEY (`id_matkul`) REFERENCES `matakuliah` (`id_matkul`);
--
-- Constraints for table `nilai`
--
ALTER TABLE `nilai`
ADD CONSTRAINT `nilai_ibfk_1` FOREIGN KEY (`id_mahasiswa`) REFERENCES `mahasiswa` (`id_mahasiswa`),
ADD CONSTRAINT `nilai_ibfk_2` FOREIGN KEY (`id_matkul`) REFERENCES `matakuliah` (`id_matkul`);
--
-- Constraints for table `nilai_keaktifan`
--
ALTER TABLE `nilai_keaktifan`
ADD CONSTRAINT `nilai_keaktifan_ibfk_1` FOREIGN KEY (`id_mahasiswa`) REFERENCES `mahasiswa` (`id_mahasiswa`),
ADD CONSTRAINT `nilai_keaktifan_ibfk_2` FOREIGN KEY (`id_matkul`) REFERENCES `matakuliah` (`id_matkul`);
--
-- Constraints for table `nilai_mandiri`
--
ALTER TABLE `nilai_mandiri`
ADD CONSTRAINT `nilai_mandiri_ibfk_1` FOREIGN KEY (`id_mahasiswa`) REFERENCES `mahasiswa` (`id_mahasiswa`),
ADD CONSTRAINT `nilai_mandiri_ibfk_2` FOREIGN KEY (`id_matkul`) REFERENCES `matakuliah` (`id_matkul`);
--
-- Constraints for table `nilai_quiz`
--
ALTER TABLE `nilai_quiz`
ADD CONSTRAINT `nilai_quiz_ibfk_1` FOREIGN KEY (`id_matkul`) REFERENCES `matakuliah` (`id_matkul`),
ADD CONSTRAINT `nilai_quiz_ibfk_2` FOREIGN KEY (`id_mahasiswa`) REFERENCES `mahasiswa` (`id_mahasiswa`);
--
-- Constraints for table `nilai_uts_uas`
--
ALTER TABLE `nilai_uts_uas`
ADD CONSTRAINT `nilai_uts_uas_ibfk_1` FOREIGN KEY (`id_mahasiswa`) REFERENCES `mahasiswa` (`id_mahasiswa`),
ADD CONSTRAINT `nilai_uts_uas_ibfk_2` FOREIGN KEY (`id_matkul`) REFERENCES `matakuliah` (`id_matkul`);
--
-- Constraints for table `proses`
--
ALTER TABLE `proses`
ADD CONSTRAINT `proses_ibfk_1` FOREIGN KEY (`id_semester`) REFERENCES `semester` (`id_semester`),
ADD CONSTRAINT `proses_ibfk_2` FOREIGN KEY (`id_matkul`) REFERENCES `matakuliah` (`id_matkul`),
ADD CONSTRAINT `proses_ibfk_3` FOREIGN KEY (`nidn`) REFERENCES `matakuliah` (`nidn`),
ADD CONSTRAINT `proses_ibfk_4` FOREIGN KEY (`id_angkatan`) REFERENCES `matakuliah` (`id_angkatan`);
--
-- Constraints for table `rencana_pembelajaran`
--
ALTER TABLE `rencana_pembelajaran`
ADD CONSTRAINT `rencana_pembelajaran_ibfk_1` FOREIGN KEY (`id_referensi`) REFERENCES `referensi` (`id_referensi`),
ADD CONSTRAINT `rencana_pembelajaran_ibfk_2` FOREIGN KEY (`id_matkul`) REFERENCES `matakuliah` (`id_matkul`),
ADD CONSTRAINT `rencana_pembelajaran_ibfk_3` FOREIGN KEY (`id_semester`) REFERENCES `semester` (`id_semester`),
ADD CONSTRAINT `rencana_pembelajaran_ibfk_4` FOREIGN KEY (`nidn`) REFERENCES `dosen` (`nidn`),
ADD CONSTRAINT `rencana_pembelajaran_ibfk_5` FOREIGN KEY (`id_cp`) REFERENCES `cp_mk` (`id_cp`),
ADD CONSTRAINT `rencana_pembelajaran_ibfk_6` FOREIGN KEY (`id_cpl`) REFERENCES `cpl_prodi` (`id_cpl`),
ADD CONSTRAINT `rencana_pembelajaran_ibfk_7` FOREIGN KEY (`id_kriteria`) REFERENCES `kriteria_penilaian` (`id_kriteria`);
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
with r1 as (
SELECT
r.routine_name as name,
r.routine_schema as schema,
r.specific_name as specific_name,
r.data_type,
r.external_language,
r.routine_definition as definition
FROM information_schema.routines r
-- SKIP_INTERNAL where r.external_language not in ('C', 'INTERNAL')
-- SKIP_INTERNAL and r.routine_schema not in ('pg_internal', 'pg_catalog', 'information_schema', 'pg_toast', 'pg_temp_1', 'pg_toast_temp_1')
order by
r.specific_name
),
pgproc as (
select
nspname as schema,
proname as name,
p.oid as oid,
case proisstrict when true then
'RETURNS NULL ON NULL INPUT'
else
'CALLED ON NULL INPUT'
end as strictness,
case prosecdef when true then
'SECURITY DEFINER'
else
'SECURITY INVOKER'
end as security_type,
case provolatile
when 'i' then
'IMMUTABLE'
when 's' then
'STABLE'
when 'v' then
'VOLATILE'
else
null
end as volatility
from
pg_proc p
INNER JOIN pg_namespace n
ON n.oid=p.pronamespace
-- SKIP_INTERNAL where nspname not in ('pg_internal', 'pg_catalog', 'information_schema', 'pg_toast', 'pg_temp_1', 'pg_toast_temp_1')
),
extension_oids as (
select
objid
from
pg_depend d
WHERE
d.refclassid = 'pg_extension'::regclass
and d.classid = 'pg_proc'::regclass
),
r as (
select
r1.*,
pp.volatility,
pp.strictness,
pp.security_type,
pp.oid,
e.objid as extension_oid
from r1
left outer join pgproc pp
on r1.schema = pp.schema
and r1.specific_name = pp.name || '_' || pp.oid
left outer join extension_oids e
on pp.oid = e.objid
-- SKIP_INTERNAL where e.objid is null
),
pre as (
SELECT
r.schema as schema,
r.name as name,
r.data_type as returntype,
p.parameter_name as parameter_name,
p.data_type as data_type,
p.parameter_mode as parameter_mode,
p.parameter_default as parameter_default,
p.ordinal_position as position_number,
r.definition as definition,
pg_get_functiondef(oid) as full_definition,
r.external_language as language,
r.strictness as strictness,
r.security_type as security_type,
r.volatility as volatility,
r.oid as oid,
r.extension_oid as extension_oid,
pg_get_function_result(oid) as result_string,
pg_get_function_identity_arguments(oid) as identity_arguments
FROM r
LEFT JOIN information_schema.parameters p ON
r.specific_name=p.specific_name
order by
name, parameter_mode, ordinal_position, parameter_name
)
select
*
from pre
order by
schema, name, parameter_mode, position_number, parameter_name;
|
SELECT
*
FROM
view_beban_barang4_juai
UNION ALL
|
create table ACT_ID_PROPERTY (
NAME_ varchar(64),
VALUE_ varchar(300),
REV_ integer,
primary key (NAME_)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE utf8_bin;
insert into ACT_ID_PROPERTY
values ('schema.version', '6.5.1.2', 1);
create table ACT_ID_BYTEARRAY (
ID_ varchar(64),
REV_ integer,
NAME_ varchar(255),
BYTES_ LONGBLOB,
primary key (ID_)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE utf8_bin;
create table ACT_ID_GROUP (
ID_ varchar(64),
REV_ integer,
NAME_ varchar(255),
TYPE_ varchar(255),
primary key (ID_)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE utf8_bin;
create table ACT_ID_MEMBERSHIP (
USER_ID_ varchar(64),
GROUP_ID_ varchar(64),
primary key (USER_ID_, GROUP_ID_)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE utf8_bin;
create table ACT_ID_USER (
ID_ varchar(64),
REV_ integer,
FIRST_ varchar(255),
LAST_ varchar(255),
DISPLAY_NAME_ varchar(255),
EMAIL_ varchar(255),
PWD_ varchar(255),
PICTURE_ID_ varchar(64),
TENANT_ID_ varchar(255) default '',
primary key (ID_)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE utf8_bin;
create table ACT_ID_INFO (
ID_ varchar(64),
REV_ integer,
USER_ID_ varchar(64),
TYPE_ varchar(64),
KEY_ varchar(255),
VALUE_ varchar(255),
PASSWORD_ LONGBLOB,
PARENT_ID_ varchar(255),
primary key (ID_)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE utf8_bin;
create table ACT_ID_TOKEN (
ID_ varchar(64) not null,
REV_ integer,
TOKEN_VALUE_ varchar(255),
TOKEN_DATE_ timestamp(3),
IP_ADDRESS_ varchar(255),
USER_AGENT_ varchar(255),
USER_ID_ varchar(255),
TOKEN_DATA_ varchar(2000),
primary key (ID_)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE utf8_bin;
create table ACT_ID_PRIV (
ID_ varchar(64) not null,
NAME_ varchar(255) not null,
primary key (ID_)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE utf8_bin;
create table ACT_ID_PRIV_MAPPING (
ID_ varchar(64) not null,
PRIV_ID_ varchar(64) not null,
USER_ID_ varchar(255),
GROUP_ID_ varchar(255),
primary key (ID_)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE utf8_bin;
alter table ACT_ID_MEMBERSHIP
add constraint ACT_FK_MEMB_GROUP
foreign key (GROUP_ID_)
references ACT_ID_GROUP (ID_);
alter table ACT_ID_MEMBERSHIP
add constraint ACT_FK_MEMB_USER
foreign key (USER_ID_)
references ACT_ID_USER (ID_);
alter table ACT_ID_PRIV_MAPPING
add constraint ACT_FK_PRIV_MAPPING
foreign key (PRIV_ID_)
references ACT_ID_PRIV (ID_);
create index ACT_IDX_PRIV_USER on ACT_ID_PRIV_MAPPING(USER_ID_);
create index ACT_IDX_PRIV_GROUP on ACT_ID_PRIV_MAPPING(GROUP_ID_);
alter table ACT_ID_PRIV
add constraint ACT_UNIQ_PRIV_NAME
unique (NAME_);
|
-- phpMyAdmin SQL Dump
-- version 5.1.1
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Tempo de geração: 07-Dez-2021 às 19:41
-- Versão do servidor: 10.4.21-MariaDB
-- versão do PHP: 8.0.12
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Banco de dados: `twitter_clone`
--
-- --------------------------------------------------------
--
-- Estrutura da tabela `tweets`
--
CREATE TABLE `tweets` (
`id` int(11) NOT NULL,
`id_usuario` int(11) NOT NULL,
`tweet` varchar(140) COLLATE utf8_unicode_ci NOT NULL,
`data` datetime DEFAULT current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Extraindo dados da tabela `tweets`
--
INSERT INTO `tweets` (`id`, `id_usuario`, `tweet`, `data`) VALUES
(1, 1, 'xxx', '2021-12-02 15:58:46'),
(2, 1, '357', '2021-12-02 15:59:20'),
(3, 1, 'xzc', '2021-12-02 16:01:59'),
(4, 1, '', '2021-12-02 16:08:04'),
(5, 2, 'xxx', '2021-12-02 16:20:41'),
(6, 1, 'Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nulla efficitur dui mauris, eu iaculis neque viverra at. Nulla in fermentum libero.', '2021-12-02 16:28:11'),
(7, 1, 'Ut vulputate nulla consectetur fringilla scelerisque. In hac habitasse platea dictumst. Lorem ipsum dolor sit amet, consectetur adipiscing e', '2021-12-02 16:38:23'),
(8, 2, 'Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut at urna vehicula, pretium turpis vel, viverra neque. Integer malesuada ultricies', '2021-12-03 16:58:00'),
(9, 2, 'Quisque elementum metus in fermentum venenatis. Morbi venenatis urna neque, in viverra elit bibendum nec.', '2021-12-03 16:58:10'),
(10, 3, 'Vestibulum consectetur ipsum nulla, in euismod ante consequat et. Phasellus mattis purus a aliquam ultrices. Vivamus eu tellus dui.', '2021-12-03 16:58:31'),
(11, 3, 'Proin elementum massa erat, at scelerisque turpis efficitur sit amet. ', '2021-12-03 16:58:37'),
(12, 3, 'Praesent tempor lectus at nunc laoreet, id molestie sem cursus. Curabitur eget nibh quis odio gravida commodo. Quisque at ultricies dolor.', '2021-12-03 16:58:45'),
(13, 1, 'Nunca esquecer disso ...', '2021-12-03 16:59:46'),
(14, 1, 'Vou conseguir...', '2021-12-06 15:57:57'),
(15, 5, 'Eeeee', '2021-12-06 16:29:16'),
(16, 1, 'Lorem ipsum dolor sit amet, consectetur adipiscing elit.', '2021-12-06 16:56:04'),
(17, 1, 'Aliquam ut lorem sodales, tincidunt nisi vitae, semper turpis. t.', '2021-12-07 15:38:39'),
(18, 1, 'Nullam augue magna, efficitur id tellus at, molestie volutpat risus. In hac habitasse platea dictumst. Vestibulum finibus sapien vitae venen', '2021-12-07 15:38:48'),
(19, 1, 'Proin nisi mauris, condimentum a lacinia ut, ultrices a magna.', '2021-12-07 15:38:58'),
(20, 1, 'Etiam viverra, tellus non imperdiet ultrices, nulla purus mattis augue, quis varius neque augue non lorem.', '2021-12-07 15:39:11'),
(21, 1, 'Etiam velit tortor, pharetra et nunc ut, interdum mollis lectus. Nam metus tellus, facilisis at felis eget, convallis rhoncus sapien. Intege', '2021-12-07 15:39:22'),
(22, 2, 'Nunc interdum semper libero, vitae ultricies ante pellentesque nec.', '2021-12-07 15:40:02'),
(23, 1, 'Nunc interdum...?', '2021-12-07 15:40:21');
-- --------------------------------------------------------
--
-- Estrutura da tabela `usuarios`
--
CREATE TABLE `usuarios` (
`id` int(11) NOT NULL,
`nome` varchar(100) COLLATE utf8_unicode_ci NOT NULL,
`email` varchar(150) COLLATE utf8_unicode_ci NOT NULL,
`senha` varchar(32) COLLATE utf8_unicode_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Extraindo dados da tabela `usuarios`
--
INSERT INTO `usuarios` (`id`, `nome`, `email`, `senha`) VALUES
(1, 'José', 'admin@admin.com', 'e10adc3949ba59abbe56e057f20f883e'),
(2, 'Alexandra', 'user@admin.com', 'e10adc3949ba59abbe56e057f20f883e'),
(3, 'Maria', 'user2@admin.com', 'e10adc3949ba59abbe56e057f20f883e'),
(4, 'João', 'user3@admin.com', 'b4586f37b2ca1597ce77fe32980a14d1'),
(5, 'Jaqueline Sophie', 'user4@admin.com', 'e10adc3949ba59abbe56e057f20f883e');
-- --------------------------------------------------------
--
-- Estrutura da tabela `usuarios_seguidores`
--
CREATE TABLE `usuarios_seguidores` (
`id` int(11) NOT NULL,
`id_usuario` int(11) NOT NULL,
`id_usuario_seguindo` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Extraindo dados da tabela `usuarios_seguidores`
--
INSERT INTO `usuarios_seguidores` (`id`, `id_usuario`, `id_usuario_seguindo`) VALUES
(6, 1, 3),
(7, 3, 1),
(10, 1, 2),
(11, 2, 1),
(12, 1, 4),
(13, 5, 2);
--
-- Índices para tabelas despejadas
--
--
-- Índices para tabela `tweets`
--
ALTER TABLE `tweets`
ADD PRIMARY KEY (`id`);
--
-- Índices para tabela `usuarios`
--
ALTER TABLE `usuarios`
ADD PRIMARY KEY (`id`);
--
-- Índices para tabela `usuarios_seguidores`
--
ALTER TABLE `usuarios_seguidores`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT de tabelas despejadas
--
--
-- AUTO_INCREMENT de tabela `tweets`
--
ALTER TABLE `tweets`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=24;
--
-- AUTO_INCREMENT de tabela `usuarios`
--
ALTER TABLE `usuarios`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT de tabela `usuarios_seguidores`
--
ALTER TABLE `usuarios_seguidores`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=14;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
-- phpMyAdmin SQL Dump
-- version 4.9.2
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Jan 21, 2020 at 02:47 AM
-- Server version: 10.4.11-MariaDB
-- PHP Version: 7.4.1
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `merqueo`
--
-- --------------------------------------------------------
--
-- Table structure for table `inventaries`
--
CREATE TABLE `inventaries` (
`inventary_id` bigint(20) UNSIGNED NOT NULL,
`inventary_quantity` int(11) NOT NULL,
`date` date NOT NULL,
`product_id` bigint(20) UNSIGNED NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `inventaries`
--
INSERT INTO `inventaries` (`inventary_id`, `inventary_quantity`, `date`, `product_id`, `created_at`, `updated_at`) VALUES
(1, 3, '2019-03-01', 1, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(2, 3, '2019-03-01', 2, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(3, 7, '2019-03-01', 3, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(4, 8, '2019-03-01', 4, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(5, 10, '2019-03-01', 5, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(6, 15, '2019-03-01', 6, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(7, 26, '2019-03-01', 7, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(8, 11, '2019-03-01', 8, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(9, 1, '2019-03-01', 9, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(10, 8, '2019-03-01', 10, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(11, 7, '2019-03-01', 11, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(12, 8, '2019-03-01', 12, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(13, 2, '2019-03-01', 13, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(14, 1, '2019-03-01', 14, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(15, 1, '2019-03-01', 15, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(16, 9, '2019-03-01', 16, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(17, 17, '2019-03-01', 17, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(18, 8, '2019-03-01', 18, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(19, 9, '2019-03-01', 19, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(20, 9, '2019-03-01', 20, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(21, 3, '2019-03-01', 21, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(22, 6, '2019-03-01', 22, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(23, 9, '2019-03-01', 23, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(24, 9, '2019-03-01', 24, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(25, 10, '2019-03-01', 25, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(26, 40, '2019-03-01', 26, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(27, 2, '2019-03-01', 27, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(28, 3, '2019-03-01', 28, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(29, 2, '2019-03-01', 29, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(30, 1, '2019-03-01', 30, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(31, 9, '2019-03-01', 31, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(32, 10, '2019-03-01', 32, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(33, 2, '2019-03-01', 33, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(34, 3, '2019-03-01', 34, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(35, 3, '2019-03-01', 35, '2020-01-21 06:46:43', '2020-01-21 06:46:43'),
(36, 6, '2019-03-01', 36, '2020-01-21 06:46:43', '2020-01-21 06:46:43');
-- --------------------------------------------------------
--
-- Table structure for table `migrations`
--
CREATE TABLE `migrations` (
`id` int(10) UNSIGNED NOT NULL,
`migration` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`batch` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `migrations`
--
INSERT INTO `migrations` (`id`, `migration`, `batch`) VALUES
(7, '2020_01_18_201853_create_products_table', 1),
(8, '2020_01_18_201912_create_providers_table', 1),
(9, '2020_01_18_201944_create_orders_table', 1),
(10, '2020_01_18_201945_create_inventaries_table', 1),
(11, '2020_01_19_014424_providers_product', 1),
(12, '2020_01_19_014821_order_product', 1);
-- --------------------------------------------------------
--
-- Table structure for table `orders`
--
CREATE TABLE `orders` (
`order_id` bigint(20) UNSIGNED NOT NULL,
`order_priority` int(11) NOT NULL,
`order_address` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`order_deliverable` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`user_name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `orders`
--
INSERT INTO `orders` (`order_id`, `order_priority`, `order_address`, `order_deliverable`, `user_name`, `created_at`, `updated_at`) VALUES
(1, 1, 'KR 14 # 87 - 20', '2019-03-01', 'Sofia', '2020-01-21 06:46:40', '2020-01-21 06:46:40'),
(2, 1, 'KR 20 # 164A - 5', '2019-03-01', 'Angel', '2020-01-21 06:46:40', '2020-01-21 06:46:40'),
(3, 3, 'KR 13 # 74 - 38', '2019-03-01', 'Hocks', '2020-01-21 06:46:40', '2020-01-21 06:46:40'),
(4, 1, 'CL 93 # 12 - 9', '2019-03-01', 'Michael', '2020-01-21 06:46:40', '2020-01-21 06:46:40'),
(5, 1, 'CL 71 # 3 - 74', '2019-03-01', 'Bar de Alex', '2020-01-21 06:46:40', '2020-01-21 06:46:40'),
(6, 2, 'KR 20 # 134A - 5', '2019-03-01', 'Sabor Criollo', '2020-01-21 06:46:40', '2020-01-21 06:46:40'),
(7, 2, 'CL 80 # 14 - 38', '2019-03-01', 'El Pollo Rojo', '2020-01-21 06:46:40', '2020-01-21 06:46:40'),
(8, 7, 'KR 14 # 98 - 74', '2019-03-01', 'All Salad', '2020-01-21 06:46:40', '2020-01-21 06:46:40'),
(9, 1, 'KR 58 # 93 - 1', '2019-03-01', 'Parrilla y sabor', '2020-01-21 06:46:40', '2020-01-21 06:46:40'),
(10, 9, 'KR 14 # 87 - 20', '2019-03-01', 'Sofia', '2020-01-21 06:46:40', '2020-01-21 06:46:40'),
(11, 1, 'CL 93B # 17 - 12', '2019-03-01', 'restaurante yerbabuena', '2020-01-21 06:46:40', '2020-01-21 06:46:40'),
(12, 10, 'KR 68D # 98A - 11', '2019-03-01', 'Luis David', '2020-01-21 06:46:40', '2020-01-21 06:46:40'),
(13, 2, 'AC 72 # 20 - 45', '2019-03-01', 'David Carruyo', '2020-01-21 06:46:40', '2020-01-21 06:46:40'),
(14, 3, 'KR 22 # 122 - 57', '2019-03-01', 'MARIO', '2020-01-21 06:46:40', '2020-01-21 06:46:40'),
(15, 8, 'KR 88 # 72A - 26', '2019-03-01', 'Harold', '2020-01-21 06:46:40', '2020-01-21 06:46:40');
-- --------------------------------------------------------
--
-- Table structure for table `order_product`
--
CREATE TABLE `order_product` (
`order_id` bigint(20) UNSIGNED NOT NULL,
`product_id` bigint(20) UNSIGNED NOT NULL,
`quantity` int(11) NOT NULL,
`transporter_name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `order_product`
--
INSERT INTO `order_product` (`order_id`, `product_id`, `quantity`, `transporter_name`) VALUES
(1, 1, 1, 'Nombre Transportador'),
(1, 2, 21, 'Nombre Transportador'),
(1, 37, 7, 'Nombre Transportador'),
(1, 3, 10, 'Nombre Transportador'),
(1, 4, 5, 'Nombre Transportador'),
(2, 5, 100, 'Nombre Transportador'),
(2, 6, 60, 'Nombre Transportador'),
(3, 7, 4, 'Nombre Transportador'),
(3, 8, 3, 'Nombre Transportador'),
(3, 9, 4, 'Nombre Transportador'),
(3, 10, 8, 'Nombre Transportador'),
(3, 11, 5, 'Nombre Transportador'),
(4, 12, 3, 'Nombre Transportador'),
(4, 13, 2, 'Nombre Transportador'),
(4, 14, 4, 'Nombre Transportador'),
(4, 4, 2, 'Nombre Transportador'),
(4, 15, 3, 'Nombre Transportador'),
(5, 16, 1500, 'Nombre Transportador'),
(6, 17, 2, 'Nombre Transportador'),
(6, 18, 3, 'Nombre Transportador'),
(6, 15, 2, 'Nombre Transportador'),
(6, 19, 2, 'Nombre Transportador'),
(6, 20, 3, 'Nombre Transportador'),
(7, 21, 3, 'Nombre Transportador'),
(7, 22, 2, 'Nombre Transportador'),
(7, 23, 2, 'Nombre Transportador'),
(7, 39, 4, 'Nombre Transportador'),
(7, 24, 15, 'Nombre Transportador'),
(8, 25, 3, 'Nombre Transportador'),
(8, 26, 2, 'Nombre Transportador'),
(8, 22, 4, 'Nombre Transportador'),
(8, 27, 1, 'Nombre Transportador'),
(8, 5, 1, 'Nombre Transportador'),
(9, 22, 1, 'Nombre Transportador'),
(10, 28, 1, 'Nombre Transportador'),
(11, 7, 1, 'Nombre Transportador'),
(12, 41, 1, 'Nombre Transportador'),
(12, 19, 6, 'Nombre Transportador'),
(12, 29, 1, 'Nombre Transportador'),
(12, 17, 1, 'Nombre Transportador'),
(12, 30, 1, 'Nombre Transportador'),
(13, 7, 1, 'Nombre Transportador'),
(13, 25, 2, 'Nombre Transportador'),
(13, 5, 1, 'Nombre Transportador'),
(13, 31, 25, 'Nombre Transportador'),
(14, 43, 1, 'Nombre Transportador'),
(14, 30, 1, 'Nombre Transportador'),
(14, 32, 1, 'Nombre Transportador'),
(14, 33, 1, 'Nombre Transportador'),
(14, 28, 2, 'Nombre Transportador'),
(15, 16, 3, 'Nombre Transportador'),
(15, 34, 3, 'Nombre Transportador'),
(15, 35, 3, 'Nombre Transportador'),
(15, 12, 1, 'Nombre Transportador'),
(15, 36, 1, 'Nombre Transportador');
-- --------------------------------------------------------
--
-- Table structure for table `products`
--
CREATE TABLE `products` (
`product_id` bigint(20) UNSIGNED NOT NULL,
`product_name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `products`
--
INSERT INTO `products` (`product_id`, `product_name`, `created_at`, `updated_at`) VALUES
(1, 'Leche', '2020-01-21 06:46:03', '2020-01-21 06:46:03'),
(2, 'Huevos', '2020-01-21 06:46:03', '2020-01-21 06:46:03'),
(3, 'Manzana Verde', '2020-01-21 06:46:03', '2020-01-21 06:46:03'),
(4, 'Pepino Cohombro', '2020-01-21 06:46:03', '2020-01-21 06:46:03'),
(5, 'Pimentn Rojo', '2020-01-21 06:46:03', '2020-01-21 06:46:03'),
(6, 'Kiwi', '2020-01-21 06:46:03', '2020-01-21 06:46:03'),
(7, 'Cebolla Cabezona Blanca Limpia', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(8, 'Habichuela', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(9, 'Mango Tommy Maduro', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(10, 'Tomate Chonto Pintn', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(11, 'Zanahoria Grande', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(12, 'Aguacate Maduro', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(13, 'Kale o Col Rizada', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(14, 'Cebolla Cabezona Roja Limpia', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(15, 'Tomate Chonto Maduro', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(16, 'Acelga', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(17, 'Espinaca Bogotana x 500grs', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(18, 'Ahuyama', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(19, 'Cebolla Cabezona Blanca Sin Pelar', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(20, 'Meln', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(21, 'Cebolla Cabezona Roja Sin Pelar', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(22, 'Cebolla Larga Junca x 500grs', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(23, 'Hierbabuena x 500grs', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(24, 'Lechuga Crespa Verde', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(25, 'Limon Tahit', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(26, 'Mora de Castilla', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(27, 'Piment Verde', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(28, 'Tomate Larga Vida Maduro', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(29, 'Cilantro x 500grs', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(30, 'Fresa Jugo', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(31, 'Papa R-12 Mediana', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(32, 'Curuba', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(33, 'Brócoli', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(34, 'Aguacate Hass Pintón', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(35, 'Aguacate Hass Maduro', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(36, 'Aguacate Pintón', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(37, 'Pan Bimbo', '2020-01-21 06:46:03', '2020-01-21 06:46:03'),
(39, 'Lechuga Crespa Morada', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(41, 'Banano', '2020-01-21 06:46:04', '2020-01-21 06:46:04'),
(43, 'Banano', '2020-01-21 06:46:04', '2020-01-21 06:46:04');
-- --------------------------------------------------------
--
-- Table structure for table `providers`
--
CREATE TABLE `providers` (
`provider_id` bigint(20) UNSIGNED NOT NULL,
`provider_name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `providers`
--
INSERT INTO `providers` (`provider_id`, `provider_name`, `created_at`, `updated_at`) VALUES
(1, 'Ruby', '2020-01-21 06:46:36', '2020-01-21 06:46:36'),
(2, 'Raul', '2020-01-21 06:46:37', '2020-01-21 06:46:37'),
(3, 'Angelica', '2020-01-21 06:46:37', '2020-01-21 06:46:37');
-- --------------------------------------------------------
--
-- Table structure for table `provider_product`
--
CREATE TABLE `provider_product` (
`provider_id` bigint(20) UNSIGNED NOT NULL,
`product_id` bigint(20) UNSIGNED NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `provider_product`
--
INSERT INTO `provider_product` (`provider_id`, `product_id`) VALUES
(1, 1),
(1, 2),
(1, 3),
(1, 4),
(1, 5),
(1, 24),
(1, 25),
(1, 26),
(1, 27),
(2, 28),
(2, 29),
(2, 30),
(2, 31),
(2, 32),
(2, 33),
(2, 34),
(2, 35),
(2, 36),
(2, 16),
(2, 17),
(3, 6),
(3, 7),
(3, 8),
(3, 9),
(3, 10),
(3, 11),
(3, 12),
(3, 13),
(3, 14),
(3, 15),
(3, 18),
(3, 19),
(3, 20),
(3, 21),
(3, 22),
(3, 23);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `inventaries`
--
ALTER TABLE `inventaries`
ADD PRIMARY KEY (`inventary_id`),
ADD KEY `inventaries_product_id_foreign` (`product_id`);
--
-- Indexes for table `migrations`
--
ALTER TABLE `migrations`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `orders`
--
ALTER TABLE `orders`
ADD PRIMARY KEY (`order_id`);
--
-- Indexes for table `order_product`
--
ALTER TABLE `order_product`
ADD KEY `order_product_order_id_foreign` (`order_id`),
ADD KEY `order_product_product_id_foreign` (`product_id`);
--
-- Indexes for table `products`
--
ALTER TABLE `products`
ADD PRIMARY KEY (`product_id`);
--
-- Indexes for table `providers`
--
ALTER TABLE `providers`
ADD PRIMARY KEY (`provider_id`);
--
-- Indexes for table `provider_product`
--
ALTER TABLE `provider_product`
ADD KEY `provider_product_provider_id_foreign` (`provider_id`),
ADD KEY `provider_product_product_id_foreign` (`product_id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `inventaries`
--
ALTER TABLE `inventaries`
MODIFY `inventary_id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=37;
--
-- AUTO_INCREMENT for table `migrations`
--
ALTER TABLE `migrations`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=13;
--
-- AUTO_INCREMENT for table `orders`
--
ALTER TABLE `orders`
MODIFY `order_id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=16;
--
-- AUTO_INCREMENT for table `products`
--
ALTER TABLE `products`
MODIFY `product_id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=44;
--
-- AUTO_INCREMENT for table `providers`
--
ALTER TABLE `providers`
MODIFY `provider_id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `inventaries`
--
ALTER TABLE `inventaries`
ADD CONSTRAINT `inventaries_product_id_foreign` FOREIGN KEY (`product_id`) REFERENCES `products` (`product_id`) ON DELETE CASCADE;
--
-- Constraints for table `order_product`
--
ALTER TABLE `order_product`
ADD CONSTRAINT `order_product_order_id_foreign` FOREIGN KEY (`order_id`) REFERENCES `orders` (`order_id`) ON DELETE CASCADE,
ADD CONSTRAINT `order_product_product_id_foreign` FOREIGN KEY (`product_id`) REFERENCES `products` (`product_id`) ON DELETE CASCADE;
--
-- Constraints for table `provider_product`
--
ALTER TABLE `provider_product`
ADD CONSTRAINT `provider_product_product_id_foreign` FOREIGN KEY (`product_id`) REFERENCES `products` (`product_id`) ON DELETE CASCADE,
ADD CONSTRAINT `provider_product_provider_id_foreign` FOREIGN KEY (`provider_id`) REFERENCES `providers` (`provider_id`) ON DELETE CASCADE;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
ALTER TABLE account_holder
ADD COLUMN IF NOT EXISTS full_name text,
ADD COLUMN IF NOT EXISTS email text,
ADD COLUMN IF NOT EXISTS address_line_1 text,
ADD COLUMN IF NOT EXISTS address_line_2 text,
ADD COLUMN IF NOT EXISTS address_line_3 text,
ADD COLUMN IF NOT EXISTS address_line_4 text,
ADD COLUMN IF NOT EXISTS town_or_city text,
ADD COLUMN IF NOT EXISTS postcode text,
ADD COLUMN IF NOT EXISTS county text,
ADD COLUMN IF NOT EXISTS country text,
ADD COLUMN IF NOT EXISTS telephone_number text,
ADD COLUMN IF NOT EXISTS alternative_telephone_number text,
ADD COLUMN IF NOT EXISTS created_date timestamptz,
ADD COLUMN IF NOT EXISTS last_modified_date timestamptz;
UPDATE account_holder
SET full_name = person.full_name,
email = person.email,
address_line_1 = person.address_line_1,
address_line_2 = person.address_line_2,
address_line_3 = person.address_line_3,
address_line_4 = person.address_line_4,
town_or_city = person.town_or_city,
postcode = person.postcode,
county = person.county,
country = person.country,
telephone_number = person.telephone_number,
alternative_telephone_number = person.alternative_telephone_number,
created_date = person.created_date,
last_modified_date = person.last_modified_date
FROM person
WHERE account_holder.person_id = person.id;
UPDATE account_holder
SET created_date = now()
WHERE created_date is null;
UPDATE account_holder
SET last_modified_date = now()
WHERE created_date is null;
ALTER TABLE account_holder ALTER COLUMN created_date SET NOT NULL;
ALTER TABLE account_holder ALTER COLUMN last_modified_date SET NOT NULL;
ALTER TABLE account_holder ALTER COLUMN person_id DROP NOT NULL;
|
CREATE TABLE `prodproc` (
`pp_id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(255) DEFAULT NULL,
`detail` LONGTEXT DEFAULT NULL,
PRIMARY KEY (`pp_id`)
) engine=InnoDB DEFAULT CHARSET=utf8;
CREATE TABLE `empacc` (
`ea_id` int(11) NOT NULL AUTO_INCREMENT,
`emp_id` int(11) NOT NULL,
`document_id` int(11) DEFAULT NULL,
`optype` int(11) DEFAULT NULL,
//`createdon` date NOT NULL,
`notes` varchar(255) DEFAULT NULL,
`amount` decimal(10,2) NOT NULL,
PRIMARY KEY (`ea_id`),
KEY `emp_id` (`emp_id`)
) engine=InnoDB DEFAULT CHARSET=utf8;
журнал процесов
разбиентие на этапы
код продукции этапа на данном участке
сколько надо списать на производство по каждому этапу и общий отчет
время выполнения этапа
старт процесса. отмена пока нет документов
календарь по участкам с указаним этапов
списание оприходование с участка
производственный цикл - процес плюс дата процесса
связаные документы
таблица олтслеживания серийных номеров
на входе
партия
список продукции и количество
заказ если есть или договор
планируемая дата начала и конца
список этапов
участок, что на выходе и сколько. начало этапа,
конец этапа. сколько часов
материалы что надо списать (вычисляется если заданы комплекты)
конец этапа оприходование всего по данной партии
списание пока не запланирование
журнал
создаем процесс с нуля или на основании копии
запускаем с указанием даты
таблица - название номер заказ состояние даты
просмотр этапов
списание оприходование
таблица - процесс номер сколько выполнено даты
отчет по процессу сколько списано оприходовано нормочасы или сдельная
отчет по этапам за период
списано оприходовано нормочасы или сдельная
исполнители
журнал сколько часов или КПИ
**********************************************
справочник типов начислений удержаний
ручной ввод или формула
документ начисление
пересчет по формулам
|
INSERT INTO gc_cur_team (ah, teamcode, abbr, fullname, comurl, cluburl, smscode, color, teamcolor, phone, standing, tout, gc_cur_id) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
|
ALTER FUNCTION sqrt(integer) OWNER TO joe;
|
--
-- RULES
-- From Jan's original setup_ruletest.sql and run_ruletest.sql
-- - thomas 1998-09-13
--
--
-- Tables and rules for the view test
--
create table rtest_t1 (a int4, b int4) distribute by roundrobin;
create table rtest_t2 (a int4, b int4) distribute by roundrobin;
create table rtest_t3 (a int4, b int4) distribute by roundrobin;
create view rtest_v1 as select * from rtest_t1;
create rule rtest_v1_ins as on insert to rtest_v1 do instead
insert into rtest_t1 values (new.a, new.b);
create rule rtest_v1_upd as on update to rtest_v1 do instead
update rtest_t1 set a = new.a, b = new.b
where a = old.a;
create rule rtest_v1_del as on delete to rtest_v1 do instead
delete from rtest_t1 where a = old.a;
-- Test comments
COMMENT ON RULE rtest_v1_bad ON rtest_v1 IS 'bad rule';
COMMENT ON RULE rtest_v1_del ON rtest_v1 IS 'delete rule';
COMMENT ON RULE rtest_v1_del ON rtest_v1 IS NULL;
--
-- Tables and rules for the constraint update/delete test
--
-- Note:
-- Now that we have multiple action rule support, we check
-- both possible syntaxes to define them (The last action
-- can but must not have a semicolon at the end).
--
create table rtest_system (sysname text, sysdesc text);
create table rtest_interface (sysname text, ifname text);
create table rtest_person (pname text, pdesc text);
create table rtest_admin (pname text, sysname text);
create rule rtest_sys_upd as on update to rtest_system do also (
update rtest_interface set sysname = new.sysname
where sysname = old.sysname;
update rtest_admin set sysname = new.sysname
where sysname = old.sysname
);
create rule rtest_sys_del as on delete to rtest_system do also (
delete from rtest_interface where sysname = old.sysname;
delete from rtest_admin where sysname = old.sysname;
);
create rule rtest_pers_upd as on update to rtest_person do also
update rtest_admin set pname = new.pname where pname = old.pname;
create rule rtest_pers_del as on delete to rtest_person do also
delete from rtest_admin where pname = old.pname;
--
-- Tables and rules for the logging test
--
create table rtest_emp (ename char(20), salary money);
create table rtest_emplog (ename char(20), who name, action char(10), newsal money, oldsal money);
create table rtest_empmass (ename char(20), salary money);
create rule rtest_emp_ins as on insert to rtest_emp do
insert into rtest_emplog values (new.ename, current_user,
'hired', new.salary, '0.00');
create rule rtest_emp_upd as on update to rtest_emp where new.salary != old.salary do
insert into rtest_emplog values (new.ename, current_user,
'honored', new.salary, old.salary);
create rule rtest_emp_del as on delete to rtest_emp do
insert into rtest_emplog values (old.ename, current_user,
'fired', '0.00', old.salary);
--
-- Tables and rules for the multiple cascaded qualified instead
-- rule test
--
create table rtest_t4 (a int4, b text);
create table rtest_t5 (a int4, b text);
create table rtest_t6 (a int4, b text);
create table rtest_t7 (a int4, b text);
create table rtest_t8 (a int4, b text);
create table rtest_t9 (a int4, b text);
create rule rtest_t4_ins1 as on insert to rtest_t4
where new.a >= 10 and new.a < 20 do instead
insert into rtest_t5 values (new.a, new.b);
create rule rtest_t4_ins2 as on insert to rtest_t4
where new.a >= 20 and new.a < 30 do
insert into rtest_t6 values (new.a, new.b);
create rule rtest_t5_ins as on insert to rtest_t5
where new.a > 15 do
insert into rtest_t7 values (new.a, new.b);
create rule rtest_t6_ins as on insert to rtest_t6
where new.a > 25 do instead
insert into rtest_t8 values (new.a, new.b);
--
-- Tables and rules for the rule fire order test
--
-- As of PG 7.3, the rules should fire in order by name, regardless
-- of INSTEAD attributes or creation order.
--
create table rtest_order1 (a int4);
create table rtest_order2 (a int4, b int4, c text);
create sequence rtest_seq;
create rule rtest_order_r3 as on insert to rtest_order1 do instead
insert into rtest_order2 values (new.a, nextval('rtest_seq'),
'rule 3 - this should run 3rd');
create rule rtest_order_r4 as on insert to rtest_order1
where a < 100 do instead
insert into rtest_order2 values (new.a, nextval('rtest_seq'),
'rule 4 - this should run 4th');
create rule rtest_order_r2 as on insert to rtest_order1 do
insert into rtest_order2 values (new.a, nextval('rtest_seq'),
'rule 2 - this should run 2nd');
create rule rtest_order_r1 as on insert to rtest_order1 do instead
insert into rtest_order2 values (new.a, nextval('rtest_seq'),
'rule 1 - this should run 1st');
--
-- Tables and rules for the instead nothing test
--
create table rtest_nothn1 (a int4, b text);
create table rtest_nothn2 (a int4, b text);
create table rtest_nothn3 (a int4, b text);
create table rtest_nothn4 (a int4, b text);
create rule rtest_nothn_r1 as on insert to rtest_nothn1
where new.a >= 10 and new.a < 20 do instead nothing;
create rule rtest_nothn_r2 as on insert to rtest_nothn1
where new.a >= 30 and new.a < 40 do instead nothing;
create rule rtest_nothn_r3 as on insert to rtest_nothn2
where new.a >= 100 do instead
insert into rtest_nothn3 values (new.a, new.b);
create rule rtest_nothn_r4 as on insert to rtest_nothn2
do instead nothing;
--
-- Tests on a view that is select * of a table
-- and has insert/update/delete instead rules to
-- behave close like the real table.
--
--
-- We need test date later
--
insert into rtest_t2 values (1, 21);
insert into rtest_t2 values (2, 22);
insert into rtest_t2 values (3, 23);
insert into rtest_t3 values (1, 31);
insert into rtest_t3 values (2, 32);
insert into rtest_t3 values (3, 33);
insert into rtest_t3 values (4, 34);
insert into rtest_t3 values (5, 35);
-- insert values
insert into rtest_v1 values (1, 11);
insert into rtest_v1 values (2, 12);
select * from rtest_v1 order by a, b;
-- delete with constant expression
delete from rtest_v1 where a = 1;
select * from rtest_v1 order by a, b;
insert into rtest_v1 values (1, 11);
delete from rtest_v1 where b = 12;
select * from rtest_v1 order by a, b;
insert into rtest_v1 values (2, 12);
insert into rtest_v1 values (2, 13);
select * from rtest_v1 order by a, b;
** Remember the delete rule on rtest_v1: It says
** DO INSTEAD DELETE FROM rtest_t1 WHERE a = old.a
** So this time both rows with a = 2 must get deleted
\p
\r
delete from rtest_v1 where b = 12;
select * from rtest_v1 order by a, b;
delete from rtest_v1;
-- insert select
insert into rtest_v1 select * from rtest_t2;
select * from rtest_v1 order by a, b;
delete from rtest_v1;
-- same with swapped targetlist
insert into rtest_v1 (b, a) select b, a from rtest_t2;
select * from rtest_v1 order by a, b;
-- now with only one target attribute
insert into rtest_v1 (a) select a from rtest_t3;
select * from rtest_v1 order by a, b;
select * from rtest_v1 where b isnull order by a, b;
-- let attribute a differ (must be done on rtest_t1 - see above)
update rtest_t1 set a = a + 10 where b isnull;
delete from rtest_v1 where b isnull;
select * from rtest_v1 order by a, b;
-- now updates with constant expression
update rtest_v1 set b = 42 where a = 2;
select * from rtest_v1 order by a, b;
update rtest_v1 set b = 99 where b = 42;
select * from rtest_v1 order by a, b;
update rtest_v1 set b = 88 where b < 50;
select * from rtest_v1 order by a, b;
delete from rtest_v1;
insert into rtest_v1 select rtest_t2.a, rtest_t3.b
from rtest_t2, rtest_t3
where rtest_t2.a = rtest_t3.a;
select * from rtest_v1 order by a, b;
-- updates in a mergejoin
update rtest_v1 set b = rtest_t2.b from rtest_t2 where rtest_v1.a = rtest_t2.a;
select * from rtest_v1 order by a, b;
insert into rtest_v1 select * from rtest_t3;
select * from rtest_v1 order by a, b;
update rtest_t1 set a = a + 10 where b > 30;
select * from rtest_v1 order by a, b;
update rtest_v1 set a = rtest_t3.a + 20 from rtest_t3 where rtest_v1.b = rtest_t3.b;
select * from rtest_v1 order by a, b;
--
-- Test for constraint updates/deletes
--
insert into rtest_system values ('orion', 'Linux Jan Wieck');
insert into rtest_system values ('notjw', 'WinNT Jan Wieck (notebook)');
insert into rtest_system values ('neptun', 'Fileserver');
insert into rtest_interface values ('orion', 'eth0');
insert into rtest_interface values ('orion', 'eth1');
insert into rtest_interface values ('notjw', 'eth0');
insert into rtest_interface values ('neptun', 'eth0');
insert into rtest_person values ('jw', 'Jan Wieck');
insert into rtest_person values ('bm', 'Bruce Momjian');
insert into rtest_admin values ('jw', 'orion');
insert into rtest_admin values ('jw', 'notjw');
insert into rtest_admin values ('bm', 'neptun');
update rtest_system set sysname = 'pluto' where sysname = 'neptun';
select * from rtest_interface order by sysname, ifname;
select * from rtest_admin order by pname, sysname;
update rtest_person set pname = 'jwieck' where pdesc = 'Jan Wieck';
-- Note: use ORDER BY here to ensure consistent output across all systems.
-- The above UPDATE affects two rows with equal keys, so they could be
-- updated in either order depending on the whim of the local qsort().
select * from rtest_admin order by pname, sysname;
delete from rtest_system where sysname = 'orion';
select * from rtest_interface order by sysname, ifname;
select * from rtest_admin order by pname, sysname;
--
-- Rule qualification test
--
insert into rtest_emp values ('wiecc', '5000.00');
insert into rtest_emp values ('gates', '80000.00');
update rtest_emp set ename = 'wiecx' where ename = 'wiecc';
update rtest_emp set ename = 'wieck', salary = '6000.00' where ename = 'wiecx';
update rtest_emp set salary = '7000.00' where ename = 'wieck';
delete from rtest_emp where ename = 'gates';
select ename, who = current_user as "matches user", action, newsal, oldsal from rtest_emplog order by ename, action, newsal;
insert into rtest_empmass values ('meyer', '4000.00');
insert into rtest_empmass values ('maier', '5000.00');
insert into rtest_empmass values ('mayr', '6000.00');
insert into rtest_emp select * from rtest_empmass;
select ename, who = current_user as "matches user", action, newsal, oldsal from rtest_emplog order by ename, action, newsal;
update rtest_empmass set salary = salary + '1000.00';
update rtest_emp set salary = rtest_empmass.salary from rtest_empmass where rtest_emp.ename = rtest_empmass.ename;
select ename, who = current_user as "matches user", action, newsal, oldsal from rtest_emplog order by ename, action, newsal;
delete from rtest_emp using rtest_empmass where rtest_emp.ename = rtest_empmass.ename;
select ename, who = current_user as "matches user", action, newsal, oldsal from rtest_emplog order by ename, action, newsal;
--
-- Multiple cascaded qualified instead rule test
--
insert into rtest_t4 values (1, 'Record should go to rtest_t4');
insert into rtest_t4 values (2, 'Record should go to rtest_t4');
insert into rtest_t4 values (10, 'Record should go to rtest_t5');
insert into rtest_t4 values (15, 'Record should go to rtest_t5');
insert into rtest_t4 values (19, 'Record should go to rtest_t5 and t7');
insert into rtest_t4 values (20, 'Record should go to rtest_t4 and t6');
insert into rtest_t4 values (26, 'Record should go to rtest_t4 and t8');
insert into rtest_t4 values (28, 'Record should go to rtest_t4 and t8');
insert into rtest_t4 values (30, 'Record should go to rtest_t4');
insert into rtest_t4 values (40, 'Record should go to rtest_t4');
select * from rtest_t4 order by a, b;
select * from rtest_t5 order by a, b;
select * from rtest_t6 order by a, b;
select * from rtest_t7 order by a, b;
select * from rtest_t8 order by a, b;
delete from rtest_t4;
delete from rtest_t5;
delete from rtest_t6;
delete from rtest_t7;
delete from rtest_t8;
insert into rtest_t9 values (1, 'Record should go to rtest_t4');
insert into rtest_t9 values (2, 'Record should go to rtest_t4');
insert into rtest_t9 values (10, 'Record should go to rtest_t5');
insert into rtest_t9 values (15, 'Record should go to rtest_t5');
insert into rtest_t9 values (19, 'Record should go to rtest_t5 and t7');
insert into rtest_t9 values (20, 'Record should go to rtest_t4 and t6');
insert into rtest_t9 values (26, 'Record should go to rtest_t4 and t8');
insert into rtest_t9 values (28, 'Record should go to rtest_t4 and t8');
insert into rtest_t9 values (30, 'Record should go to rtest_t4');
insert into rtest_t9 values (40, 'Record should go to rtest_t4');
insert into rtest_t4 select * from rtest_t9 where a < 20;
select * from rtest_t4 order by a, b;
select * from rtest_t5 order by a, b;
select * from rtest_t6 order by a, b;
select * from rtest_t7 order by a, b;
select * from rtest_t8 order by a, b;
insert into rtest_t4 select * from rtest_t9 where b ~ 'and t8';
select * from rtest_t4 order by a, b;
select * from rtest_t5 order by a, b;
select * from rtest_t6 order by a, b;
select * from rtest_t7 order by a, b;
select * from rtest_t8 order by a, b;
insert into rtest_t4 select a + 1, b from rtest_t9 where a in (20, 30, 40);
select * from rtest_t4 order by a, b;
select * from rtest_t5 order by a, b;
select * from rtest_t6 order by a, b;
select * from rtest_t7 order by a, b;
select * from rtest_t8 order by a, b;
--
-- Check that the ordering of rules fired is correct
--
insert into rtest_order1 values (1);
select * from rtest_order2 order by a, b, c;
--
-- Check if instead nothing w/without qualification works
--
insert into rtest_nothn1 values (1, 'want this');
insert into rtest_nothn1 values (2, 'want this');
insert into rtest_nothn1 values (10, 'don''t want this');
insert into rtest_nothn1 values (19, 'don''t want this');
insert into rtest_nothn1 values (20, 'want this');
insert into rtest_nothn1 values (29, 'want this');
insert into rtest_nothn1 values (30, 'don''t want this');
insert into rtest_nothn1 values (39, 'don''t want this');
insert into rtest_nothn1 values (40, 'want this');
insert into rtest_nothn1 values (50, 'want this');
insert into rtest_nothn1 values (60, 'want this');
select * from rtest_nothn1 order by a, b;
insert into rtest_nothn2 values (10, 'too small');
insert into rtest_nothn2 values (50, 'too small');
insert into rtest_nothn2 values (100, 'OK');
insert into rtest_nothn2 values (200, 'OK');
select * from rtest_nothn2 order by a, b;
select * from rtest_nothn3 order by a, b;
delete from rtest_nothn1;
delete from rtest_nothn2;
delete from rtest_nothn3;
insert into rtest_nothn4 values (1, 'want this');
insert into rtest_nothn4 values (2, 'want this');
insert into rtest_nothn4 values (10, 'don''t want this');
insert into rtest_nothn4 values (19, 'don''t want this');
insert into rtest_nothn4 values (20, 'want this');
insert into rtest_nothn4 values (29, 'want this');
insert into rtest_nothn4 values (30, 'don''t want this');
insert into rtest_nothn4 values (39, 'don''t want this');
insert into rtest_nothn4 values (40, 'want this');
insert into rtest_nothn4 values (50, 'want this');
insert into rtest_nothn4 values (60, 'want this');
insert into rtest_nothn1 select * from rtest_nothn4;
select * from rtest_nothn1 order by a, b;
delete from rtest_nothn4;
insert into rtest_nothn4 values (10, 'too small');
insert into rtest_nothn4 values (50, 'too small');
insert into rtest_nothn4 values (100, 'OK');
insert into rtest_nothn4 values (200, 'OK');
insert into rtest_nothn2 select * from rtest_nothn4;
select * from rtest_nothn2 order by a, b;
select * from rtest_nothn3 order by a, b;
create table rtest_view1 (a int4, b text, v bool);
create table rtest_view2 (a int4);
create table rtest_view3 (a int4, b text);
create table rtest_view4 (a int4, b text, c int4);
create view rtest_vview1 as select a, b from rtest_view1 X
where 0 < (select count(*) from rtest_view2 Y where Y.a = X.a);
create view rtest_vview2 as select a, b from rtest_view1 where v;
create view rtest_vview3 as select a, b from rtest_vview2 X
where 0 < (select count(*) from rtest_view2 Y where Y.a = X.a);
create view rtest_vview4 as select X.a, X.b, count(Y.a) as refcount
from rtest_view1 X, rtest_view2 Y
where X.a = Y.a
group by X.a, X.b;
create function rtest_viewfunc1(int4) returns int4 as
'select count(*)::int4 from rtest_view2 where a = $1'
language sql;
create view rtest_vview5 as select a, b, rtest_viewfunc1(a) as refcount
from rtest_view1;
insert into rtest_view1 values (1, 'item 1', 't');
insert into rtest_view1 values (2, 'item 2', 't');
insert into rtest_view1 values (3, 'item 3', 't');
insert into rtest_view1 values (4, 'item 4', 'f');
insert into rtest_view1 values (5, 'item 5', 't');
insert into rtest_view1 values (6, 'item 6', 'f');
insert into rtest_view1 values (7, 'item 7', 't');
insert into rtest_view1 values (8, 'item 8', 't');
insert into rtest_view2 values (2);
insert into rtest_view2 values (2);
insert into rtest_view2 values (4);
insert into rtest_view2 values (5);
insert into rtest_view2 values (7);
insert into rtest_view2 values (7);
insert into rtest_view2 values (7);
insert into rtest_view2 values (7);
select * from rtest_vview1 order by a, b;
select * from rtest_vview2 order by a, b;
select * from rtest_vview3 order by a, b;
select * from rtest_vview4 order by a, b;
select * from rtest_vview5 order by a, b;
insert into rtest_view3 select * from rtest_vview1 where a < 7;
select * from rtest_view3 order by a, b;
delete from rtest_view3;
insert into rtest_view3 select * from rtest_vview2 where a != 5 and b !~ '2';
select * from rtest_view3 order by a, b;
delete from rtest_view3;
insert into rtest_view3 select * from rtest_vview3;
select * from rtest_view3 order by a, b;
delete from rtest_view3;
insert into rtest_view4 select * from rtest_vview4 where 3 > refcount;
select * from rtest_view4 order by a, b;
delete from rtest_view4;
insert into rtest_view4 select * from rtest_vview5 where a > 2 and refcount = 0;
select * from rtest_view4 order by a, b;
delete from rtest_view4;
--
-- Test for computations in views
--
create table rtest_comp (
part text,
unit char(4),
size float
);
create table rtest_unitfact (
unit char(4),
factor float
);
create view rtest_vcomp as
select X.part, (X.size * Y.factor) as size_in_cm
from rtest_comp X, rtest_unitfact Y
where X.unit = Y.unit;
insert into rtest_unitfact values ('m', 100.0);
insert into rtest_unitfact values ('cm', 1.0);
insert into rtest_unitfact values ('inch', 2.54);
insert into rtest_comp values ('p1', 'm', 5.0);
insert into rtest_comp values ('p2', 'm', 3.0);
insert into rtest_comp values ('p3', 'cm', 5.0);
insert into rtest_comp values ('p4', 'cm', 15.0);
insert into rtest_comp values ('p5', 'inch', 7.0);
insert into rtest_comp values ('p6', 'inch', 4.4);
select * from rtest_vcomp order by part;
select * from rtest_vcomp where size_in_cm > 10.0 order by size_in_cm using >;
--
-- In addition run the (slightly modified) queries from the
-- programmers manual section on the rule system.
--
CREATE TABLE shoe_data (
shoename char(10), -- primary key
sh_avail integer, -- available # of pairs
slcolor char(10), -- preferred shoelace color
slminlen float, -- minimum shoelace length
slmaxlen float, -- maximum shoelace length
slunit char(8) -- length unit
) distribute by roundrobin;
CREATE TABLE shoelace_data (
sl_name char(10), -- primary key
sl_avail integer, -- available # of pairs
sl_color char(10), -- shoelace color
sl_len float, -- shoelace length
sl_unit char(8) -- length unit
) distribute by replication;
CREATE TABLE unit (
un_name char(8), -- the primary key
un_fact float -- factor to transform to cm
) distribute by replication;
CREATE VIEW shoe AS
SELECT sh.shoename,
sh.sh_avail,
sh.slcolor,
sh.slminlen,
sh.slminlen * un.un_fact AS slminlen_cm,
sh.slmaxlen,
sh.slmaxlen * un.un_fact AS slmaxlen_cm,
sh.slunit
FROM shoe_data sh, unit un
WHERE sh.slunit = un.un_name;
CREATE VIEW shoelace AS
SELECT s.sl_name,
s.sl_avail,
s.sl_color,
s.sl_len,
s.sl_unit,
s.sl_len * u.un_fact AS sl_len_cm
FROM shoelace_data s, unit u
WHERE s.sl_unit = u.un_name;
CREATE VIEW shoe_ready AS
SELECT rsh.shoename,
rsh.sh_avail,
rsl.sl_name,
rsl.sl_avail,
int4smaller(rsh.sh_avail, rsl.sl_avail) AS total_avail
FROM shoe rsh, shoelace rsl
WHERE rsl.sl_color = rsh.slcolor
AND rsl.sl_len_cm >= rsh.slminlen_cm
AND rsl.sl_len_cm <= rsh.slmaxlen_cm;
INSERT INTO unit VALUES ('cm', 1.0);
INSERT INTO unit VALUES ('m', 100.0);
INSERT INTO unit VALUES ('inch', 2.54);
INSERT INTO shoe_data VALUES ('sh1', 2, 'black', 70.0, 90.0, 'cm');
INSERT INTO shoe_data VALUES ('sh2', 0, 'black', 30.0, 40.0, 'inch');
INSERT INTO shoe_data VALUES ('sh3', 4, 'brown', 50.0, 65.0, 'cm');
INSERT INTO shoe_data VALUES ('sh4', 3, 'brown', 40.0, 50.0, 'inch');
INSERT INTO shoelace_data VALUES ('sl1', 5, 'black', 80.0, 'cm');
INSERT INTO shoelace_data VALUES ('sl2', 6, 'black', 100.0, 'cm');
INSERT INTO shoelace_data VALUES ('sl3', 0, 'black', 35.0 , 'inch');
INSERT INTO shoelace_data VALUES ('sl4', 8, 'black', 40.0 , 'inch');
INSERT INTO shoelace_data VALUES ('sl5', 4, 'brown', 1.0 , 'm');
INSERT INTO shoelace_data VALUES ('sl6', 0, 'brown', 0.9 , 'm');
INSERT INTO shoelace_data VALUES ('sl7', 7, 'brown', 60 , 'cm');
INSERT INTO shoelace_data VALUES ('sl8', 1, 'brown', 40 , 'inch');
-- SELECTs in doc
SELECT * FROM shoelace ORDER BY sl_name;
SELECT * FROM shoe_ready WHERE total_avail >= 2 ORDER BY 1;
CREATE TABLE shoelace_log (
sl_name char(10), -- shoelace changed
sl_avail integer, -- new available value
log_who name, -- who did it
log_when timestamp -- when
);
-- Want "log_who" to be CURRENT_USER,
-- but that is non-portable for the regression test
-- - thomas 1999-02-21
CREATE RULE log_shoelace AS ON UPDATE TO shoelace_data
WHERE NEW.sl_avail != OLD.sl_avail
DO INSERT INTO shoelace_log VALUES (
NEW.sl_name,
NEW.sl_avail,
'Al Bundy',
'epoch'
);
UPDATE shoelace_data SET sl_avail = 6 WHERE sl_name = 'sl7';
SELECT * FROM shoelace_log;
CREATE RULE shoelace_ins AS ON INSERT TO shoelace
DO INSTEAD
INSERT INTO shoelace_data VALUES (
NEW.sl_name,
NEW.sl_avail,
NEW.sl_color,
NEW.sl_len,
NEW.sl_unit);
CREATE RULE shoelace_upd AS ON UPDATE TO shoelace
DO INSTEAD
UPDATE shoelace_data SET
sl_name = NEW.sl_name,
sl_avail = NEW.sl_avail,
sl_color = NEW.sl_color,
sl_len = NEW.sl_len,
sl_unit = NEW.sl_unit
WHERE sl_name = OLD.sl_name;
CREATE RULE shoelace_del AS ON DELETE TO shoelace
DO INSTEAD
DELETE FROM shoelace_data
WHERE sl_name = OLD.sl_name;
CREATE TABLE shoelace_arrive (
arr_name char(10),
arr_quant integer
);
CREATE TABLE shoelace_ok (
ok_name char(10),
ok_quant integer
);
CREATE RULE shoelace_ok_ins AS ON INSERT TO shoelace_ok
DO INSTEAD
UPDATE shoelace SET
sl_avail = sl_avail + NEW.ok_quant
WHERE sl_name = NEW.ok_name;
INSERT INTO shoelace_arrive VALUES ('sl3', 10);
INSERT INTO shoelace_arrive VALUES ('sl6', 20);
INSERT INTO shoelace_arrive VALUES ('sl8', 20);
SELECT * FROM shoelace ORDER BY sl_name;
insert into shoelace_ok select * from shoelace_arrive;
SELECT * FROM shoelace ORDER BY sl_name;
SELECT * FROM shoelace_log ORDER BY sl_name;
CREATE VIEW shoelace_obsolete AS
SELECT * FROM shoelace WHERE NOT EXISTS
(SELECT shoename FROM shoe WHERE slcolor = sl_color);
CREATE VIEW shoelace_candelete AS
SELECT * FROM shoelace_obsolete WHERE sl_avail = 0;
insert into shoelace values ('sl9', 0, 'pink', 35.0, 'inch', 0.0);
insert into shoelace values ('sl10', 1000, 'magenta', 40.0, 'inch', 0.0);
-- Unsupported (even though a similar updatable view construct is)
insert into shoelace values ('sl10', 1000, 'magenta', 40.0, 'inch', 0.0)
on conflict do nothing;
SELECT * FROM shoelace_obsolete ORDER BY sl_len_cm;
SELECT * FROM shoelace_candelete;
DELETE FROM shoelace WHERE EXISTS
(SELECT * FROM shoelace_candelete
WHERE sl_name = shoelace.sl_name);
SELECT * FROM shoelace ORDER BY sl_name;
SELECT * FROM shoe ORDER BY shoename;
SELECT count(*) FROM shoe;
--
-- Simple test of qualified ON INSERT ... this did not work in 7.0 ...
--
create table foo (f1 int);
create table foo2 (f1 int);
create rule foorule as on insert to foo where f1 < 100
do instead nothing;
insert into foo values(1);
insert into foo values(1001);
select * from foo order by f1;
drop rule foorule on foo;
-- this should fail because f1 is not exposed for unqualified reference:
create rule foorule as on insert to foo where f1 < 100
do instead insert into foo2 values (f1);
-- this is the correct way:
create rule foorule as on insert to foo where f1 < 100
do instead insert into foo2 values (new.f1);
insert into foo values(2);
insert into foo values(100);
select * from foo order by f1;
select * from foo2 order by f1;
drop rule foorule on foo;
drop table foo;
drop table foo2;
--
-- Test rules containing INSERT ... SELECT, which is a very ugly special
-- case as of 7.1. Example is based on bug report from Joel Burton.
--
create table pparent (pid int, txt text);
insert into pparent values (1,'parent1');
insert into pparent values (2,'parent2');
create table cchild (pid int, descrip text);
insert into cchild values (1,'descrip1');
create view vview as
select pparent.pid, txt, descrip from
pparent left join cchild using (pid);
create rule rrule as
on update to vview do instead
(
insert into cchild (pid, descrip)
select old.pid, new.descrip where old.descrip isnull;
update cchild set descrip = new.descrip where cchild.pid = old.pid;
);
select * from vview order by pid;
update vview set descrip='test1' where pid=1;
select * from vview order by pid;
update vview set descrip='test2' where pid=2;
select * from vview order by pid;
update vview set descrip='test3' where pid=3;
select * from vview order by pid;
select * from cchild order by pid;
drop rule rrule on vview;
drop view vview;
drop table pparent;
drop table cchild;
--
-- Check that ruleutils are working
--
-- temporarily disable fancy output, so view changes create less diff noise
\a\t
SELECT viewname, definition FROM pg_views WHERE schemaname <> 'information_schema' ORDER BY viewname;
SELECT tablename, rulename, definition FROM pg_rules
ORDER BY tablename, rulename;
-- restore normal output mode
\a\t
--
-- CREATE OR REPLACE RULE
--
CREATE TABLE ruletest_tbl (a int, b int);
CREATE TABLE ruletest_tbl2 (a int, b int);
CREATE OR REPLACE RULE myrule AS ON INSERT TO ruletest_tbl
DO INSTEAD INSERT INTO ruletest_tbl2 VALUES (10, 10);
INSERT INTO ruletest_tbl VALUES (99, 99);
CREATE OR REPLACE RULE myrule AS ON INSERT TO ruletest_tbl
DO INSTEAD INSERT INTO ruletest_tbl2 VALUES (1000, 1000);
INSERT INTO ruletest_tbl VALUES (99, 99);
SELECT * FROM ruletest_tbl2 ORDER BY a;
-- Check that rewrite rules splitting one INSERT into multiple
-- conditional statements does not disable FK checking.
create table rule_and_refint_t1 (
id1a integer,
id1b integer,
primary key (id1a, id1b)
);
create table rule_and_refint_t2 (
id2a integer,
id2c integer,
primary key (id2a, id2c)
);
create table rule_and_refint_t3 (
id3a integer,
id3b integer,
id3c integer,
data text,
primary key (id3a, id3b, id3c),
foreign key (id3a, id3b) references rule_and_refint_t1 (id1a, id1b),
foreign key (id3a, id3c) references rule_and_refint_t2 (id2a, id2c)
);
insert into rule_and_refint_t1 values (1, 11);
insert into rule_and_refint_t1 values (1, 12);
insert into rule_and_refint_t1 values (2, 21);
insert into rule_and_refint_t1 values (2, 22);
insert into rule_and_refint_t2 values (1, 11);
insert into rule_and_refint_t2 values (1, 12);
insert into rule_and_refint_t2 values (2, 21);
insert into rule_and_refint_t2 values (2, 22);
insert into rule_and_refint_t3 values (1, 11, 11, 'row1');
insert into rule_and_refint_t3 values (1, 11, 12, 'row2');
insert into rule_and_refint_t3 values (1, 12, 11, 'row3');
insert into rule_and_refint_t3 values (1, 12, 12, 'row4');
insert into rule_and_refint_t3 values (1, 11, 13, 'row5');
insert into rule_and_refint_t3 values (1, 13, 11, 'row6');
-- Ordinary table
insert into rule_and_refint_t3 values (1, 13, 11, 'row6')
on conflict do nothing;
-- rule not fired, so fk violation
insert into rule_and_refint_t3 values (1, 13, 11, 'row6')
on conflict (id3a, id3b, id3c) do update
set id3b = excluded.id3b;
-- rule fired, so unsupported
insert into shoelace values ('sl9', 0, 'pink', 35.0, 'inch', 0.0)
on conflict (sl_name) do update
set sl_avail = excluded.sl_avail;
create rule rule_and_refint_t3_ins as on insert to rule_and_refint_t3
where (exists (select 1 from rule_and_refint_t3
where (((rule_and_refint_t3.id3a = new.id3a)
and (rule_and_refint_t3.id3b = new.id3b))
and (rule_and_refint_t3.id3c = new.id3c))))
do instead update rule_and_refint_t3 set data = new.data
where (((rule_and_refint_t3.id3a = new.id3a)
and (rule_and_refint_t3.id3b = new.id3b))
and (rule_and_refint_t3.id3c = new.id3c));
insert into rule_and_refint_t3 values (1, 11, 13, 'row7');
insert into rule_and_refint_t3 values (1, 13, 11, 'row8');
--
-- disallow dropping a view's rule (bug #5072)
--
create view fooview as select 'foo'::text;
drop rule "_RETURN" on fooview;
drop view fooview;
--
-- test conversion of table to view (needed to load some pg_dump files)
--
create table fooview (x int, y text);
select xmin, * from fooview;
create rule "_RETURN" as on select to fooview do instead
select 1 as x, 'aaa'::text as y;
select * from fooview;
select xmin, * from fooview; -- fail, views don't have such a column
select reltoastrelid, relkind, relfrozenxid
from pg_class where oid = 'fooview'::regclass;
drop view fooview;
-- trying to convert a partitioned table to view is not allowed
create table fooview (x int, y text) partition by list (x);
create rule "_RETURN" as on select to fooview do instead
select 1 as x, 'aaa'::text as y;
-- nor can one convert a partition to view
create table fooview_part partition of fooview for values in (1);
create rule "_RETURN" as on select to fooview_part do instead
select 1 as x, 'aaa'::text as y;
--
-- check for planner problems with complex inherited UPDATES
--
create table id (id serial primary key, name text);
-- currently, must respecify PKEY for each inherited subtable
create table test_1 (id integer primary key) inherits (id);
create table test_2 (id integer primary key) inherits (id);
create table test_3 (id integer primary key) inherits (id);
insert into test_1 (name) values ('Test 1');
insert into test_1 (name) values ('Test 2');
insert into test_2 (name) values ('Test 3');
insert into test_2 (name) values ('Test 4');
insert into test_3 (name) values ('Test 5');
insert into test_3 (name) values ('Test 6');
create view id_ordered as select * from id order by id;
create rule update_id_ordered as on update to id_ordered
do instead update id set name = new.name where id = old.id;
select * from id_ordered order by id;
update id_ordered set name = 'update 2' where id = 2;
update id_ordered set name = 'update 4' where id = 4;
update id_ordered set name = 'update 5' where id = 5;
select * from id_ordered order by id;
\set VERBOSITY terse \\ -- suppress cascade details
drop table id cascade;
\set VERBOSITY default
--
-- check corner case where an entirely-dummy subplan is created by
-- constraint exclusion
--
create temp table t1 (a integer primary key) distribute by replication;
create temp table t1_1 (check (a >= 0 and a < 10)) inherits (t1) distribute by replication;
create temp table t1_2 (check (a >= 10 and a < 20)) inherits (t1) distribute by replication;
create rule t1_ins_1 as on insert to t1
where new.a >= 0 and new.a < 10
do instead
insert into t1_1 values (new.a);
create rule t1_ins_2 as on insert to t1
where new.a >= 10 and new.a < 20
do instead
insert into t1_2 values (new.a);
create rule t1_upd_1 as on update to t1
where old.a >= 0 and old.a < 10
do instead
update t1_1 set a = new.a where a = old.a;
create rule t1_upd_2 as on update to t1
where old.a >= 10 and old.a < 20
do instead
update t1_2 set a = new.a where a = old.a;
set constraint_exclusion = on;
insert into t1 select * from generate_series(5,19,1) g;
update t1 set a = 4 where a = 5;
select * from only t1 order by 1;
select * from only t1_1 order by 1;
select * from only t1_2 order by 1;
reset constraint_exclusion;
-- test various flavors of pg_get_viewdef()
select pg_get_viewdef('shoe'::regclass) as unpretty;
select pg_get_viewdef('shoe'::regclass,true) as pretty;
select pg_get_viewdef('shoe'::regclass,0) as prettier;
--
-- check multi-row VALUES in rules
--
create table rules_src(f1 int, f2 int);
create table rules_log(f1 int, f2 int, tag text);
insert into rules_src values(1,2), (11,12);
create rule r1 as on update to rules_src do also
insert into rules_log values(old.*, 'old'), (new.*, 'new');
update rules_src set f2 = f2 + 1;
update rules_src set f2 = f2 * 10;
select * from rules_src order by 1,2;
select * from rules_log order by 1,2,3;
create rule r2 as on update to rules_src do also
values(old.*, 'old'), (new.*, 'new') order by 1,2,3;
update rules_src set f2 = f2 / 10;
select * from rules_src order by 1,2;
select * from rules_log order by 1,2,3;
create rule r3 as on delete to rules_src do notify rules_src_deletion;
\d+ rules_src
--
-- Ensure an aliased target relation for insert is correctly deparsed.
--
create rule r4 as on insert to rules_src do instead insert into rules_log AS trgt SELECT NEW.* RETURNING trgt.f1, trgt.f2;
create rule r5 as on update to rules_src do instead UPDATE rules_log AS trgt SET tag = 'updated' WHERE trgt.f1 = new.f1;
\d+ rules_src
--
-- check alter rename rule
--
CREATE TABLE rule_t1 (a INT);
CREATE VIEW rule_v1 AS SELECT * FROM rule_t1;
CREATE RULE InsertRule AS
ON INSERT TO rule_v1
DO INSTEAD
INSERT INTO rule_t1 VALUES(new.a);
ALTER RULE InsertRule ON rule_v1 RENAME to NewInsertRule;
INSERT INTO rule_v1 VALUES(1);
SELECT * FROM rule_v1;
\d+ rule_v1
--
-- error conditions for alter rename rule
--
ALTER RULE InsertRule ON rule_v1 RENAME TO NewInsertRule; -- doesn't exist
ALTER RULE NewInsertRule ON rule_v1 RENAME TO "_RETURN"; -- already exists
ALTER RULE "_RETURN" ON rule_v1 RENAME TO abc; -- ON SELECT rule cannot be renamed
DROP VIEW rule_v1;
DROP TABLE rule_t1;
--
-- check display of VALUES in view definitions
--
create view rule_v1 as values(1,2);
\d+ rule_v1
drop view rule_v1;
create view rule_v1(x) as values(1,2);
\d+ rule_v1
drop view rule_v1;
create view rule_v1(x) as select * from (values(1,2)) v;
\d+ rule_v1
drop view rule_v1;
create view rule_v1(x) as select * from (values(1,2)) v(q,w);
\d+ rule_v1
drop view rule_v1;
--
-- Check DO INSTEAD rules with ON CONFLICT
--
CREATE TABLE hats (
hat_name char(10) primary key,
hat_color char(10) -- hat color
);
CREATE TABLE hat_data (
hat_name char(10),
hat_color char(10) -- hat color
);
create unique index hat_data_unique_idx
on hat_data (hat_name COLLATE "C" bpchar_pattern_ops);
-- DO NOTHING with ON CONFLICT
CREATE RULE hat_nosert AS ON INSERT TO hats
DO INSTEAD
INSERT INTO hat_data VALUES (
NEW.hat_name,
NEW.hat_color)
ON CONFLICT (hat_name COLLATE "C" bpchar_pattern_ops) WHERE hat_color = 'green'
DO NOTHING
RETURNING *;
SELECT definition FROM pg_rules WHERE tablename = 'hats' ORDER BY rulename;
-- Works (projects row)
INSERT INTO hats VALUES ('h7', 'black') RETURNING *;
-- Works (does nothing)
INSERT INTO hats VALUES ('h7', 'black') RETURNING *;
SELECT tablename, rulename, definition FROM pg_rules
WHERE tablename = 'hats';
DROP RULE hat_nosert ON hats;
-- DO NOTHING without ON CONFLICT
CREATE RULE hat_nosert_all AS ON INSERT TO hats
DO INSTEAD
INSERT INTO hat_data VALUES (
NEW.hat_name,
NEW.hat_color)
ON CONFLICT
DO NOTHING
RETURNING *;
SELECT definition FROM pg_rules WHERE tablename = 'hats' ORDER BY rulename;
DROP RULE hat_nosert_all ON hats;
-- Works (does nothing)
INSERT INTO hats VALUES ('h7', 'black') RETURNING *;
-- DO UPDATE with a WHERE clause
CREATE RULE hat_upsert AS ON INSERT TO hats
DO INSTEAD
INSERT INTO hat_data VALUES (
NEW.hat_name,
NEW.hat_color)
ON CONFLICT (hat_name)
DO UPDATE
SET hat_name = hat_data.hat_name, hat_color = excluded.hat_color
WHERE excluded.hat_color <> 'forbidden' AND hat_data.* != excluded.*
RETURNING *;
SELECT definition FROM pg_rules WHERE tablename = 'hats' ORDER BY rulename;
-- Works (does upsert)
INSERT INTO hats VALUES ('h8', 'black') RETURNING *;
SELECT * FROM hat_data WHERE hat_name = 'h8';
INSERT INTO hats VALUES ('h8', 'white') RETURNING *;
SELECT * FROM hat_data WHERE hat_name = 'h8';
INSERT INTO hats VALUES ('h8', 'forbidden') RETURNING *;
SELECT * FROM hat_data WHERE hat_name = 'h8';
SELECT tablename, rulename, definition FROM pg_rules
WHERE tablename = 'hats';
-- ensure explain works for on insert conflict rules
explain (costs off) INSERT INTO hats VALUES ('h8', 'forbidden') RETURNING *;
-- ensure upserting into a rule, with a CTE (different offsets!) works
WITH data(hat_name, hat_color) AS (
VALUES ('h8', 'green'),
('h9', 'blue'),
('h7', 'forbidden')
)
INSERT INTO hats
SELECT * FROM data
RETURNING *;
EXPLAIN (costs off) WITH data(hat_name, hat_color) AS (
VALUES ('h8', 'green'),
('h9', 'blue'),
('h7', 'forbidden')
)
INSERT INTO hats
SELECT * FROM data
RETURNING *;
SELECT * FROM hat_data WHERE hat_name IN ('h8', 'h9', 'h7') ORDER BY hat_name;
DROP RULE hat_upsert ON hats;
drop table hats;
drop table hat_data;
-- test for pg_get_functiondef properly regurgitating SET parameters
-- Note that the function is kept around to stress pg_dump.
CREATE FUNCTION func_with_set_params() RETURNS integer
AS 'select 1;'
LANGUAGE SQL
SET search_path TO PG_CATALOG
SET extra_float_digits TO 2
SET work_mem TO '4MB'
SET datestyle to iso, mdy
SET local_preload_libraries TO "Mixed/Case", 'c:/''a"/path', '', '0123456789012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789'
IMMUTABLE STRICT;
SELECT pg_get_functiondef('func_with_set_params()'::regprocedure);
-- tests for pg_get_*def with invalid objects
SELECT pg_get_constraintdef(0);
SELECT pg_get_functiondef(0);
SELECT pg_get_indexdef(0);
SELECT pg_get_ruledef(0);
SELECT pg_get_statisticsobjdef(0);
SELECT pg_get_triggerdef(0);
SELECT pg_get_viewdef(0);
SELECT pg_get_function_arguments(0);
SELECT pg_get_function_identity_arguments(0);
SELECT pg_get_function_result(0);
SELECT pg_get_function_arg_default(0, 0);
SELECT pg_get_function_arg_default('pg_class'::regclass, 0);
SELECT pg_get_partkeydef(0);
-- test rename for a rule defined on a partitioned table
CREATE TABLE parted_table (a int) PARTITION BY LIST (a);
CREATE TABLE parted_table_1 PARTITION OF parted_table FOR VALUES IN (1);
CREATE RULE parted_table_insert AS ON INSERT to parted_table
DO INSTEAD INSERT INTO parted_table_1 VALUES (NEW.*);
ALTER RULE parted_table_insert ON parted_table RENAME TO parted_table_insert_redirect;
DROP TABLE parted_table;
|
prompt
accept tns_name char prompt 'Enter TNS name for database [database]: '
accept usr_schema char prompt 'Enter username for schema [schema]: ' default schema
accept pwd_schema char prompt 'Enter password for schema [&usr_schema]: ' hide default &usr_schema
|
USE [ANTERO]
GO
/****** Object: StoredProcedure [sa].[p_lataa_ehoks_osaamisen_hankkimistavat_paivat] Script Date: 27.1.2022 17:16:55 ******/
DROP PROCEDURE IF EXISTS [sa].[p_lataa_ehoks_osaamisen_hankkimistavat_paivat]
GO
/****** Object: StoredProcedure [sa].[p_lataa_ehoks_osaamisen_hankkimisjaksot_netto] Script Date: 27.1.2022 17:16:55 ******/
DROP PROCEDURE IF EXISTS [sa].[p_lataa_ehoks_osaamisen_hankkimisjaksot_netto]
GO
/****** Object: StoredProcedure [sa].[p_lataa_ehoks_osaamisen_hankkimisjaksot] Script Date: 27.1.2022 17:16:55 ******/
DROP PROCEDURE IF EXISTS [sa].[p_lataa_ehoks_osaamisen_hankkimisjaksot]
GO
/****** Object: StoredProcedure [dw].[p_lataa_f_ehoks_tutkinnon_suorittaneet_generoi_puuttuvat_hankkimistavat] Script Date: 27.1.2022 17:16:55 ******/
DROP PROCEDURE IF EXISTS [dw].[p_lataa_f_ehoks_tutkinnon_suorittaneet_generoi_puuttuvat_hankkimistavat]
GO
/****** Object: StoredProcedure [dw].[p_lataa_f_ehoks_tutkinnon_suorittaneet] Script Date: 27.1.2022 17:16:55 ******/
DROP PROCEDURE IF EXISTS [dw].[p_lataa_f_ehoks_tutkinnon_suorittaneet]
GO
/****** Object: StoredProcedure [dw].[p_lataa_f_ehoks_opiskelijat] Script Date: 27.1.2022 17:16:55 ******/
DROP PROCEDURE IF EXISTS [dw].[p_lataa_f_ehoks_opiskelijat]
GO
/****** Object: StoredProcedure [dw].[p_lataa__ehoks] Script Date: 27.1.2022 17:16:55 ******/
DROP PROCEDURE IF EXISTS [dw].[p_lataa__ehoks]
GO
/****** Object: StoredProcedure [dw].[p_lataa__ehoks] Script Date: 27.1.2022 17:16:55 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
IF NOT EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dw].[p_lataa__ehoks]') AND type in (N'P', N'PC'))
BEGIN
EXEC dbo.sp_executesql @statement = N'CREATE PROCEDURE [dw].[p_lataa__ehoks] AS'
END
GO
ALTER PROCEDURE [dw].[p_lataa__ehoks] AS
EXEC Koski_SA.sa.paivita_sa_taulujen_indeksit
EXEC Koski_SA.sa.p_lataa_amm_paatason_suoritus
EXEC sa.p_lataa_ehoks_osaamisen_hankkimisjaksot
EXEC sa.p_lataa_ehoks_osaamisen_hankkimisjaksot_netto
EXEC sa.p_lataa_ehoks_osaamisen_hankkimistavat_paivat
EXEC dw.p_lataa_f_ehoks_opiskelijat
EXEC dw.p_lataa_f_ehoks_tutkinnon_suorittaneet
EXEC dw.p_lataa_f_ehoks_tutkinnon_suorittaneet_neljannekset
GO
/****** Object: StoredProcedure [dw].[p_lataa_f_ehoks_opiskelijat] Script Date: 27.1.2022 17:16:55 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
IF NOT EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dw].[p_lataa_f_ehoks_opiskelijat]') AND type in (N'P', N'PC'))
BEGIN
EXEC dbo.sp_executesql @statement = N'CREATE PROCEDURE [dw].[p_lataa_f_ehoks_opiskelijat] AS'
END
GO
ALTER PROCEDURE [dw].[p_lataa_f_ehoks_opiskelijat] AS
DROP TABLE IF EXISTS dw.f_ehoks_opiskelijat
SELECT
oppija_oid
,ehoks_id
,opiskeluoikeus_oid
,alkamispaiva
,alkamisvuosi = year(alkamispaiva)
,paattymispaiva
,paattymisvuosi = coalesce(cast(year(paattymispaiva) as char(4)), 'Ei päättynyt')
,vahvistuspaiva = vahvistus_paiva
,opiskeluoikeuden_kesto_paivia = paivat
,opiskeluoikeuden_kesto_paivia_kaikki_tilat = paivat_kaikki_tilat
,ensikertainen_hyvaksyminen_kk = floor(datediff(day,alkamispaiva,ensikertainen_hyvaksyminen) / 30.0)
,d_organisaatioluokitus_jarj_id = coalesce(d10.id, -1)
,d_kytkin_koulutus_paattynyt_id = coalesce(d12.id, -1)
,d_kytkin_valmistunut_id = coalesce(d13.id, -1)
,oppilaitosmuotoinen_paivat
,koulutussopimus_paivat
,oppisopimus_paivat
,sopimusjakso_alku = alku
,sopimusjakso_loppu = loppu
,d_kytkin_tutkinnon_osakohtaisia_jaksoja_hoksissa_id = coalesce(d17.id, -1)
,d_osaamisen_hankkimistapa_id = coalesce(d16.id, -1)
,d_osaamisen_hankkimistavat_id = coalesce(d18.id, -1)
,d_kytkin_olennainen_seikka_hato_id = coalesce(d6.id, -1)
,d_kytkin_nimetty_vastuullinen_tyopaikkaohjaaja_id = coalesce(d8.id, -1)
,d_kytkin_opiskeluvalmiuksia_tukevat_opinnot_id = coalesce(d5.id, -1)
,d_kytkin_osaamisen_hankkimisen_tarve_id = coalesce(d4.id, -1)
,d_kytkin_ehoks_paivitetty_id = coalesce(d11.id, -1)
,urasuunnitelma = coalesce(k.nimi, 'Tieto puuttuu')
,d_toimiala_id = coalesce(d14.id, -1)
,d_kytkin_olennainen_seikka_hyto_id = coalesce(d7.id, -1)
,d_tutkinnon_osat_id = coalesce(t.id, -1)
,d_koulutusluokitus_id = coalesce(d1.id, -1)
,d_suorituksen_tyyppi_id = coalesce(d9.id, -1)
,d_kytkin_muu_ammatillinen_id = coalesce(d15.id, -1)
,d_sukupuoli_id = coalesce(d2.id, -1)
,d_ika_alkamisvuonna_id = coalesce(d3.id, -1)
INTO dw.f_ehoks_opiskelijat
FROM (
SELECT distinct
ep.oppija_oid
,ep.opiskeluoikeus_oid
,ep.ehoks_id
,ca.alkamispaiva
,oo.paattymispaiva
,oo.koulutustoimija_oid
,ps.vahvistus_paiva
,paivat = aj.paivat + case when ps.suorituksen_alkamispaiva < oo.alkamispaiva then datediff(day,ps.suorituksen_alkamispaiva,oo.alkamispaiva)+1 else 0 end
,paivat_kaikki_tilat = datediff(day, ca.alkamispaiva, ca.paattymispaiva)+1
,ep.ensikertainen_hyvaksyminen
,paivitetty
,osaamisen_hankkimisen_tarve = cast(ep.osaamisen_hankkimisen_tarve as int)
,opiskeluvalmiuksia_tukevat_opinnot = cast(ep.opiskeluvalmiuksia_tukevat_opinnot as int)
,ep.urasuunnitelma_koodi
,osaamisen_hankkimistapa_koodi
--,osaamisen_hankkimistapa_koodi =
--case
-- when hato2.koulutussopimus_paivat > 0 and hato2.oppisopimus_paivat = 0 and hato2.oppilaitosmuotoinen_paivat = 0 then 'Vain koulutussopimus'
-- when hato2.koulutussopimus_paivat = 0 and hato2.oppisopimus_paivat > 0 and hato2.oppilaitosmuotoinen_paivat = 0 then 'Vain oppisopimus'
-- when hato2.koulutussopimus_paivat = 0 and hato2.oppisopimus_paivat = 0 and hato2.oppilaitosmuotoinen_paivat > 0 then 'Vain muu koulutusympäristö'
-- when hato2.koulutussopimus_paivat > 0 and hato2.oppisopimus_paivat > 0 and hato2.oppilaitosmuotoinen_paivat = 0 then 'Koulutussopimus ja oppisopimus'
-- when hato2.koulutussopimus_paivat > 0 and hato2.oppisopimus_paivat = 0 and hato2.oppilaitosmuotoinen_paivat > 0 then 'Koulutussopimus ja muu oppimisympäristö'
-- when hato2.koulutussopimus_paivat = 0 and hato2.oppisopimus_paivat > 0 and hato2.oppilaitosmuotoinen_paivat > 0 then 'Oppisopimus ja muu oppimisympäristö'
-- when hato2.koulutussopimus_paivat > 0 and hato2.oppisopimus_paivat > 0 and hato2.oppilaitosmuotoinen_paivat > 0 then 'Koulutussopimus, oppisopimus ja muu oppimisympäristö'
-- else 'Tieto puuttuu'
--end
,hato_olennainen_seikka = coalesce(hato1.olennainen_seikka, 0)
,vastuullinen_tyopaikkaohjaaja = case when hato1.vastuullinen_tyopaikkaohjaaja = 'true' then 1 else 0 end
,hato1.tyopaikan_ytunnus
,hato1.alku
,hato1.loppu
,hato2.osaamisen_hankkimistavat
,oppilaitosmuotoinen_paivat = coalesce(hato2.oppilaitosmuotoinenkoulutus, 0)
,koulutussopimus_paivat = coalesce(hato2.koulutussopimus, 0)
,oppisopimus_paivat = coalesce(hato2.oppisopimus, 0)
,hyto_olennainen_seikka = coalesce(hyto.[olennainen-seikka],0)
,hyto.tutkinnon_osa_koodi
,suorituksen_tyyppi =
case
when ps.suorituksen_tyyppi = 'ammatillinentutkinto' then 1 --koko tutkinto
when ps.suorituksen_tyyppi = 'tutkinnonosaapienemmistäkokonaisuuksistakoostuvasuoritus' then 3 --tutkinnon osaa pienempi
else 2 --tutkinnon osa/osia
end
,ps.tutkinto_koodi
,muu_ammatillinen = case when ps.suorituksen_tyyppi = 'muuammatillinenkoulutus' then 1 else 0 end
,ika_alkamisvuonna = year(ca.alkamispaiva) - year(syntymaaika)
,h.sukupuoli
,h.kansalaisuus
FROM sa.sa_ehoks_perustiedot_laajempi ep
LEFT JOIN sa.sa_ehoks_hato hato1 on hato1.ehoks_id = ep.ehoks_id and hato1.osaamisen_hankkimistapa_koodi is not null
LEFT JOIN sa.sa_ehoks_osaamisen_hankkimistavat_paivat hato2 on hato2.ehoks_id = ep.ehoks_id
LEFT JOIN (select distinct ehoks_id,tutkinnon_osa_koodi,[olennainen-seikka] FROM sa.sa_ehoks_hyto WHERE tutkinnon_osa_koodi is not null) hyto on hyto.ehoks_id = ep.ehoks_id
LEFT JOIN Koski_SA.sa.sa_koski_opiskeluoikeus oo on oo.oppija_oid = ep.oppija_oid and oo.opiskeluoikeus_oid = ep.opiskeluoikeus_oid
LEFT JOIN Koski_SA.sa.sa_amm_paatason_suoritus ps on ps.opiskeluoikeus_oid = ep.opiskeluoikeus_oid
LEFT JOIN Koski_SA.sa.sa_koski_henkilo h on h.oppija_oid = ep.oppija_oid
CROSS APPLY (
select
alkamispaiva = case when ps.suorituksen_alkamispaiva < oo.alkamispaiva then ps.suorituksen_alkamispaiva else oo.alkamispaiva end
,paattymispaiva = coalesce(oo.paattymispaiva, ps.vahvistus_paiva)
) ca
LEFT JOIN (
select
opiskeluoikeus_oid
,paivat = sum(datediff(day, alku, loppu)+1)
--,paivat_kaikki_tilat = sum(datediff(day, alku, loppu)+1)
from Koski_SA.sa.sa_koski_opiskeluoikeus_aikajakso
where 1=1
and tila in ('lasna','loma','valmistunut')
and loppu != '9999-12-31'
group by opiskeluoikeus_oid
) aj on aj.opiskeluoikeus_oid = ep.opiskeluoikeus_oid
WHERE ca.alkamispaiva between '2018-01-01' and getdate()
and oo.koulutusmuoto = 'ammatillinenkoulutus'
and ps.rnk = 1
) Q
LEFT JOIN dw.d_koulutusluokitus d1a on d1a.koulutusluokitus_koodi = Q.tutkinto_koodi
LEFT JOIN dw.d_koulutusluokitus d1 on d1.koulutusluokitus_koodi = coalesce(d1a.uusi_eat_koodi, d1a.koulutusluokitus_koodi)
LEFT JOIN dw.d_sukupuoli d2 on d2.sukupuoli_koodi = Q.sukupuoli
LEFT JOIN dw.d_ika d3 on d3.ika_avain = Q.ika_alkamisvuonna
LEFT JOIN dw.d_kytkin d4 on d4.kytkin_koodi = Q.osaamisen_hankkimisen_tarve
LEFT JOIN dw.d_kytkin d5 on d5.kytkin_koodi = Q.opiskeluvalmiuksia_tukevat_opinnot
LEFT JOIN dw.d_kytkin d6 on d6.kytkin_koodi = Q.hato_olennainen_seikka
LEFT JOIN dw.d_kytkin d7 on d7.kytkin_koodi = Q.hyto_olennainen_seikka
LEFT JOIN dw.d_kytkin d8 on d8.kytkin_koodi = Q.vastuullinen_tyopaikkaohjaaja
LEFT JOIN dw.d_suorituksen_tyyppi d9 on d9.koodi = Q.suorituksen_tyyppi
LEFT JOIN dw.d_organisaatioluokitus d10 on d10.organisaatio_oid = Q.koulutustoimija_oid
LEFT JOIN dw.d_kytkin d11 on d11.kytkin_koodi = (case when Q.paivitetty is not null then 1 else 0 end)
LEFT JOIN dw.d_kytkin d12 on d12.kytkin_koodi = (case when coalesce(Q.paattymispaiva, '9999-12-31') <= getdate() then 1 else 0 end)
LEFT JOIN dw.d_kytkin d13 on d13.kytkin_koodi = (case when coalesce(Q.vahvistus_paiva, '9999-12-31') <= getdate() then 1 else 0 end)
LEFT JOIN Koski_SA.sa.sa_ytj_yritystiedot ytj on ytj.ytunnus = Q.tyopaikan_ytunnus
LEFT JOIN dw.d_toimialaluokitus2008 d14 on d14.toimiala_koodi = ytj.toimiala_koodi
LEFT JOIN dw.d_kytkin d15 on d15.kytkin_koodi = Q.muu_ammatillinen
LEFT JOIN dw.d_osaamisen_hankkimistapa d16 on d16.koodi = Q.osaamisen_hankkimistapa_koodi
LEFT JOIN dw.d_kytkin d17 on d17.kytkin_koodi = (case when oppilaitosmuotoinen_paivat+koulutussopimus_paivat+oppisopimus_paivat = 0 then 0 else 1 end)
LEFT JOIN dw.d_osaamisen_hankkimistavat d18 on d18.koodi = Q.osaamisen_hankkimistavat
LEFT JOIN sa.sa_koodistot k on k.koodi = Q.urasuunnitelma_koodi and k.koodisto='urasuunnitelma'
LEFT JOIN (select koodiarvo,id=min(id) from Koski_SA.sa.sa_eperusteet_tutkinnonosat GROUP BY koodiarvo) t on t.koodiarvo = Q.tutkinnon_osa_koodi
GO
/****** Object: StoredProcedure [dw].[p_lataa_f_ehoks_tutkinnon_suorittaneet] Script Date: 27.1.2022 17:16:55 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
IF NOT EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dw].[p_lataa_f_ehoks_tutkinnon_suorittaneet]') AND type in (N'P', N'PC'))
BEGIN
EXEC dbo.sp_executesql @statement = N'CREATE PROCEDURE [dw].[p_lataa_f_ehoks_tutkinnon_suorittaneet] AS'
END
GO
ALTER PROCEDURE [dw].[p_lataa_f_ehoks_tutkinnon_suorittaneet] AS
--DROP TABLE IF EXISTS dw.f_ehoks_tutkinnon_suorittaneet
TRUNCATE TABLE dw.f_ehoks_tutkinnon_suorittaneet
;WITH kysely AS (
SELECT distinct
oppija_oid
,opiskeluoikeus_oid
,[ehoks_id]
,[alkamispaiva]
,[alkamisvuosi]
,[paattymispaiva]
,[paattymisvuosi]
,[vahvistuspaiva]
,[opiskeluoikeuden_kesto_paivia]
,[opiskeluoikeuden_kesto_paivia_kaikki_tilat]
,[d_organisaatioluokitus_jarj_id]
,[d_kytkin_koulutus_paattynyt_id]
,[d_kytkin_valmistunut_id]
,[oppilaitosmuotoinen_paivat]
,[koulutussopimus_paivat]
,[oppisopimus_paivat]
,[d_osaamisen_hankkimistavat_id]
,[d_kytkin_tutkinnon_osakohtaisia_jaksoja_hoksissa_id]
--,[d_toimiala_id]
,[d_koulutusluokitus_id]
,[d_suorituksen_tyyppi_id]
,[d_kytkin_muu_ammatillinen_id]
,[d_sukupuoli_id]
,[d_ika_alkamisvuonna_id]
--,[d_tutkinnon_osat_id]
FROM dw.f_ehoks_opiskelijat
)
INSERT INTO dw.f_ehoks_tutkinnon_suorittaneet (
[oppija_oid]
,[opiskeluoikeus_oid]
,[ehoks_id]
,[alkamispaiva]
,[alkamisvuosi]
,[paattymispaiva]
,[paattymisvuosi]
,[vahvistuspaiva]
,[opiskeluoikeuden_kesto_paivia]
,[opiskeluoikeuden_kesto_paivia_kaikki_tilat]
,[d_organisaatioluokitus_jarj_id]
,[d_kytkin_koulutus_paattynyt_id]
,[d_kytkin_valmistunut_id]
,[oppilaitosmuotoinen_paivat]
,[koulutussopimus_paivat]
,[oppisopimus_paivat]
,[d_osaamisen_hankkimistavat_id]
,[d_kytkin_tutkinnon_osakohtaisia_jaksoja_hoksissa_id]
,[d_koulutusluokitus_id]
,[d_suorituksen_tyyppi_id]
,[d_kytkin_muu_ammatillinen_id]
,[d_sukupuoli_id]
,[d_ika_alkamisvuonna_id]
,[d_osaamisen_hankkimistapa_id]
,[ytunnus]
,[d_toimiala_id]
,[sopimuksen_alku]
,[sopimuksen_loppu]
,[paivat_hankkimistapa]
,[paivat_kaikki]
,[paivat_tyopaikka]
,[sopimusten_lkm_opiskeluoikeus_yritys]
,[koulutussopimuksen_osuus]
,[oppisopimuksen_osuus]
,[muu_oppismisympäristö_osuus]
,[generoitu]
)
SELECT
Q.*
--INTO dw.f_ehoks_tutkinnon_suorittaneet
FROM (
SELECT
f.*
,d_osaamisen_hankkimistapa_id = coalesce(d3.id, -1)
,sj.ytunnus
,d_toimiala_id = coalesce(d14.id,-1)
,sopimuksen_alku = sj.alku
,sopimuksen_loppu = sj.loppu
,paivat_hankkimistapa =
case sj.sopimusmuoto
when 'oppilaitosmuotoinenkoulutus' then f.oppilaitosmuotoinen_paivat
when 'koulutussopimus' then f.koulutussopimus_paivat
when 'oppisopimus' then f.oppisopimus_paivat
end
,paivat_kaikki = coalesce(sj.paivat_kaikki, 0)
,paivat_tyopaikka = coalesce(sj.paivat_tyopaikka, 0)
,[sopimusten_lkm_opiskeluoikeus_yritys]
,[koulutussopimuksen_osuus] = coalesce(f.koulutussopimus_paivat / (f.opiskeluoikeuden_kesto_paivia * 1.0), 0)
,[oppisopimuksen_osuus] = coalesce(f.oppisopimus_paivat / (f.opiskeluoikeuden_kesto_paivia * 1.0), 0)
,[muu_oppismisympäristö_osuus] = coalesce(f.oppilaitosmuotoinen_paivat / (f.opiskeluoikeuden_kesto_paivia * 1.0), 0)
,generoitu = 0
FROM kysely f
LEFT JOIN sa.sa_ehoks_osaamisen_hankkimisjaksot sj on sj.opiskeluoikeus_oid = f.opiskeluoikeus_oid
--LEFT JOIN (SELECT opiskeluoikeus_oid,ytunnus, tyopaikkajaksojen_lkm = max(sopimuksen_jarjestys_yritys) FROM sa.sa_ehoks_osaamisen_hankkimisjaksot GROUP BY opiskeluoikeus_oid, ytunnus) sj2 on sj2.opiskeluoikeus_oid = f.opiskeluoikeus_oid and sj2.
LEFT JOIN dw.d_kytkin d2 on d2.id = f.d_kytkin_valmistunut_id
LEFT JOIN Koski_SA.sa.sa_ytj_yritystiedot ytj on ytj.ytunnus = sj.ytunnus
LEFT JOIN dw.d_toimialaluokitus2008 d14 on d14.toimiala_koodi = ytj.toimiala_koodi
LEFT JOIN dw.d_osaamisen_hankkimistapa d3 on d3.koodi = sj.sopimusmuoto
WHERE 1=1
--and sj.alku >= f.alkamispaiva
--and sj.paivat_kaikki > 0
and d2.kytkin_koodi = 1
) Q
LEFT JOIN dw.d_ytj_yritystiedot d23 ON d23.ytunnus = q.ytunnus
LEFT JOIN dw.d_toimialaluokitus2008 d24 ON d24.toimiala_koodi = d23.toimiala_koodi
--LEFT JOIN dw.d_kalenteri d25 ON d25.kalenteri_avain = q.alku
--LEFT JOIN dw.d_kalenteri d26 ON d26.kalenteri_avain = q.loppu
LEFT JOIN dw.d_alueluokitus d29 ON d29.kunta_koodi = d23.kotipaikkakunta_koodi
EXEC [dw].[p_lataa_f_ehoks_tutkinnon_suorittaneet_generoi_puuttuvat_hankkimistavat]
GO
/****** Object: StoredProcedure [dw].[p_lataa_f_ehoks_tutkinnon_suorittaneet_generoi_puuttuvat_hankkimistavat] Script Date: 27.1.2022 17:16:55 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
IF NOT EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dw].[p_lataa_f_ehoks_tutkinnon_suorittaneet_generoi_puuttuvat_hankkimistavat]') AND type in (N'P', N'PC'))
BEGIN
EXEC dbo.sp_executesql @statement = N'CREATE PROCEDURE [dw].[p_lataa_f_ehoks_tutkinnon_suorittaneet_generoi_puuttuvat_hankkimistavat] AS'
END
GO
ALTER PROCEDURE [dw].[p_lataa_f_ehoks_tutkinnon_suorittaneet_generoi_puuttuvat_hankkimistavat] AS
DECLARE @oht AS VARCHAR(50)
DECLARE db_cursor CURSOR FOR
SELECT distinct sopimusmuoto=f.d_osaamisen_hankkimistapa_id
FROM dw.f_ehoks_tutkinnon_suorittaneet f
WHERE f.d_osaamisen_hankkimistapa_id != -1
OPEN db_cursor
FETCH NEXT FROM db_cursor INTO @oht
WHILE @@FETCH_STATUS = 0
BEGIN
INSERT INTO dw.f_ehoks_tutkinnon_suorittaneet (
[oppija_oid]
,[opiskeluoikeus_oid]
,[ehoks_id]
,[alkamispaiva]
,[alkamisvuosi]
,[paattymispaiva]
,[paattymisvuosi]
,[vahvistuspaiva]
,[opiskeluoikeuden_kesto_paivia]
,[opiskeluoikeuden_kesto_paivia_kaikki_tilat]
,[d_organisaatioluokitus_jarj_id]
,[d_kytkin_koulutus_paattynyt_id]
,[d_kytkin_valmistunut_id]
,[oppilaitosmuotoinen_paivat]
,[koulutussopimus_paivat]
,[oppisopimus_paivat]
,[d_osaamisen_hankkimistavat_id]
,[d_kytkin_tutkinnon_osakohtaisia_jaksoja_hoksissa_id]
,[d_koulutusluokitus_id]
,[d_suorituksen_tyyppi_id]
,[d_kytkin_muu_ammatillinen_id]
,[d_sukupuoli_id]
,[d_ika_alkamisvuonna_id]
,[d_osaamisen_hankkimistapa_id]
,[ytunnus]
,[d_toimiala_id]
,[paivat_kaikki]
,[paivat_hankkimistapa]
,[koulutussopimuksen_osuus]
,[oppisopimuksen_osuus]
,[muu_oppismisympäristö_osuus]
,[generoitu]
)
--osaamisen hankkimistavat
SELECT distinct
[oppija_oid]
,[opiskeluoikeus_oid]
,[ehoks_id]
,[alkamispaiva]
,[alkamisvuosi]
,[paattymispaiva]
,[paattymisvuosi]
,[vahvistuspaiva]
,[opiskeluoikeuden_kesto_paivia]
,[opiskeluoikeuden_kesto_paivia_kaikki_tilat]
,[d_organisaatioluokitus_jarj_id]
,[d_kytkin_koulutus_paattynyt_id]
,[d_kytkin_valmistunut_id]
,[oppilaitosmuotoinen_paivat]
,[koulutussopimus_paivat]
,[oppisopimus_paivat]
,[d_osaamisen_hankkimistavat_id]
,[d_kytkin_tutkinnon_osakohtaisia_jaksoja_hoksissa_id]
,[d_koulutusluokitus_id]
,[d_suorituksen_tyyppi_id]
,[d_kytkin_muu_ammatillinen_id]
,[d_sukupuoli_id]
,[d_ika_alkamisvuonna_id]
,[d_osaamisen_hankkimistapa_id] = @oht
,[ytunnus]
,[d_toimiala_id]
,[paivat_kaikki] = 0
,[paivat_hankkimistapa] = 0
,[koulutussopimuksen_osuus]
,[oppisopimuksen_osuus]
,[muu_oppismisympäristö_osuus]
,[generoitu] = 1
FROM dw.f_ehoks_tutkinnon_suorittaneet
WHERE opiskeluoikeus_oid NOT IN (SELECT opiskeluoikeus_oid FROM dw.f_ehoks_tutkinnon_suorittaneet f WHERE d_osaamisen_hankkimistapa_id = @oht)
FETCH NEXT FROM db_cursor INTO @oht
END
CLOSE db_cursor
DEALLOCATE db_cursor
DELETE FROM dw.f_ehoks_tutkinnon_suorittaneet WHERE d_osaamisen_hankkimistapa_id = -1
GO
/****** Object: StoredProcedure [sa].[p_lataa_ehoks_osaamisen_hankkimisjaksot] Script Date: 27.1.2022 17:16:55 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
IF NOT EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[sa].[p_lataa_ehoks_osaamisen_hankkimisjaksot]') AND type in (N'P', N'PC'))
BEGIN
EXEC dbo.sp_executesql @statement = N'CREATE PROCEDURE [sa].[p_lataa_ehoks_osaamisen_hankkimisjaksot] AS'
END
GO
ALTER PROCEDURE [sa].[p_lataa_ehoks_osaamisen_hankkimisjaksot] AS
DROP TABLE IF EXISTS [sa].[sa_ehoks_osaamisen_hankkimisjaksot]
SELECT distinct
id = ehoks_id
,h.opiskeluoikeus_oid
,h.oppija_oid
,ca2.alku
,ca2.loppu
,sopimusmuoto = osaamisen_hankkimistapa_koodi
,tutkinnon_osa_koodi
,ytunnus = tyopaikan_ytunnus
,paivat = datediff(day,ca2.alku,ca2.loppu) + 1
--,sopimusten_lkm_opiskeluoikeudessa = COUNT(*) OVER (PARTITION BY opiskeluoikeus_oid)
,sopimusten_lkm_opiskeluoikeus_yritys = COUNT(*) OVER (PARTITION BY h.opiskeluoikeus_oid, tyopaikan_ytunnus)
--,sopimuksen_jarjestys = DENSE_RANK() OVER (PARTITION BY opiskeluoikeus_oid ORDER BY alku, loppu, osaamisen_hankkimistapa_koodi, tyopaikan_ytunnus)
--,sopimuksen_jarjestys_yritys = RANK() OVER (PARTITION BY opiskeluoikeus_oid, tyopaikan_ytunnus ORDER BY alku, loppu, osaamisen_hankkimistapa_koodi)
INTO #temp_ehoks
FROM [VIPUNEN_SA].[dbo].[sa_ehoks_hato] h
LEFT JOIN Koski_SA.sa.sa_koski_opiskeluoikeus oo on oo.opiskeluoikeus_oid=h.opiskeluoikeus_oid
LEFT JOIN Koski_SA.sa.sa_amm_paatason_suoritus ps on ps.opiskeluoikeus_oid=oo.opiskeluoikeus_oid
CROSS APPLY (
SELECT
alkamispaiva = case when ps.suorituksen_alkamispaiva < oo.alkamispaiva then ps.suorituksen_alkamispaiva else oo.alkamispaiva end
,paattymispaiva = coalesce(oo.paattymispaiva, ps.vahvistus_paiva)
) ca1
CROSS APPLY (
SELECT
alku = case when h.alku < ca1.alkamispaiva then ca1.alkamispaiva else h.alku end
,loppu = case when coalesce(h.loppu,'9999-12-31') > ca1.paattymispaiva then ca1.paattymispaiva else h.loppu end
) ca2
WHERE 1=1
and osaamisen_hankkimistapa_koodi is not null
and ca2.alku is not null and ca2.loppu is not null
and ca2.loppu between ca2.alku and getdate()
and ps.rnk=1
SELECT distinct
t.[id]
,t.[opiskeluoikeus_oid]
,t.[oppija_oid]
,t.[alku]
,t.[loppu]
,t.[sopimusmuoto]
,t.tutkinnon_osa_koodi
,t.[ytunnus]
,paivat_kaikki = t.paivat
,paivat_tyopaikka = case when t.sopimusmuoto in ('koulutussopimus','oppisopimus') then t.paivat else 0 end
--,ensimmainen_sopimus =
-- CASE
-- WHEN t.sopimuksen_jarjestys = 1 THEN 1
-- ELSE 0
-- END
--,ensimmainen_sopimus_yritys =
-- CASE
-- WHEN t.sopimuksen_jarjestys_yritys = 1 THEN 1
-- ELSE 0
-- END
--,vahintaan_kaksi_sopimusta =
-- CASE
-- WHEN t.sopimusten_lkm_opiskeluoikeudessa > 1 THEN 1
-- ELSE 0
-- END
--,vahintaan_kaksi_sopimusta_yritys =
-- CASE
-- WHEN t.sopimusten_lkm_opiskeluoikeus_yritys > 1 THEN 1
-- ELSE 0
-- END
--,t.[sopimusten_lkm_opiskeluoikeudessa]
,t.[sopimusten_lkm_opiskeluoikeus_yritys]
--,t.[sopimuksen_jarjestys]
--,t.[sopimuksen_jarjestys_yritys]
--,t2.sopimusmuoto AS edellinen_sopimus
--,t3.sopimusmuoto AS edellinen_sopimus_sama_yritys
--,edellinen_sopimus_koso =
-- CASE
-- WHEN t2.sopimusmuoto = 'Koulutussopimus' THEN 1
-- ELSE 0
-- END
--,edellinen_sopimus_opso =
-- CASE
-- WHEN t2.sopimusmuoto = 'Oppisopimus' THEN 1
-- ELSE 0
-- END
--,edellinen_sopimus_koso_yritys =
-- CASE
-- WHEN t3.sopimusmuoto = 'Koulutussopimus' THEN 1
-- ELSE 0
-- END
--,edellinen_sopimus_opso_yritys =
-- CASE
-- WHEN t3.sopimusmuoto = 'Oppisopimus' THEN 1
-- ELSE 0
-- END
INTO [sa].[sa_ehoks_osaamisen_hankkimisjaksot]
FROM #temp_ehoks t
--LEFT JOIN #temp_ehoks t2 ON t.opiskeluoikeus_oid = t2.opiskeluoikeus_oid AND t.sopimuksen_jarjestys = t2.sopimuksen_jarjestys + 1
--LEFT JOIN #temp_ehoks t3 ON t.opiskeluoikeus_oid = t3.opiskeluoikeus_oid AND t.sopimuksen_jarjestys_yritys = t3.sopimuksen_jarjestys_yritys + 1 AND t.ytunnus = t3.ytunnus
ORDER BY t.opiskeluoikeus_oid, t.alku
DROP TABLE IF EXISTS #temp_ehoks
GO
/****** Object: StoredProcedure [sa].[p_lataa_ehoks_osaamisen_hankkimisjaksot_netto] Script Date: 27.1.2022 17:16:55 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
IF NOT EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[sa].[p_lataa_ehoks_osaamisen_hankkimisjaksot_netto]') AND type in (N'P', N'PC'))
BEGIN
EXEC dbo.sp_executesql @statement = N'CREATE PROCEDURE [sa].[p_lataa_ehoks_osaamisen_hankkimisjaksot_netto] AS'
END
GO
ALTER PROCEDURE [sa].[p_lataa_ehoks_osaamisen_hankkimisjaksot_netto] AS
DROP TABLE IF EXISTS sa.sa_ehoks_osaamisen_hankkimisjaksot_netto
DECLARE @alku as date, @loppu as date, @pvm as date
SET @alku = '2018-01-01'
SET @loppu = DATEADD(yy, 1, @alku)
DROP TABLE IF EXISTS #pvm_taulu
DROP TABLE IF EXISTS #jaksot
DROP TABLE IF EXISTS #neljannekset
DROP TABLE IF EXISTS #yhdistetty
DROP TABLE IF EXISTS #temp_ehoks_netto
CREATE TABLE #pvm_taulu (pv date)
SET NOCOUNT ON
WHILE @alku < GETDATE()
BEGIN
--pvm:t tauluun
SET @pvm = @alku
TRUNCATE TABLE #pvm_taulu
WHILE @pvm < (case when @loppu > GETDATE() then GETDATE() else @loppu end)
BEGIN
INSERT INTO #pvm_taulu VALUES (@pvm)
SET @pvm = DATEADD(dd, 1, @pvm)
END
--
SELECT
ehoks_id
,h.opiskeluoikeus_oid
,ca1.alkamispaiva
,ca1.paattymispaiva
,osaamisen_hankkimistapa_koodi
,tyopaikan_ytunnus = left(ltrim(replace(tyopaikan_ytunnus,char(160),'')),9)
,ca2.alku
,ca2.loppu
INTO #jaksot
FROM [ANTERO].[sa].[sa_ehoks_hato] h
LEFT JOIN Koski_SA.sa.sa_koski_opiskeluoikeus oo on oo.opiskeluoikeus_oid=h.opiskeluoikeus_oid
LEFT JOIN Koski_SA.sa.sa_amm_paatason_suoritus ps on ps.opiskeluoikeus_oid=oo.opiskeluoikeus_oid
CROSS APPLY (
SELECT
alkamispaiva = case when ps.suorituksen_alkamispaiva < oo.alkamispaiva then ps.suorituksen_alkamispaiva else oo.alkamispaiva end
,paattymispaiva = coalesce(oo.paattymispaiva, ps.vahvistus_paiva)
) ca1
CROSS APPLY (
SELECT
alku = case when h.alku < ca1.alkamispaiva then ca1.alkamispaiva else h.alku end
,loppu = case when coalesce(h.loppu,'9999-12-31') > ca1.paattymispaiva then ca1.paattymispaiva else h.loppu end
) ca2
WHERE 1=1
and osaamisen_hankkimistapa_koodi is not null
and ca2.alku is not null and ca2.loppu is not null
and ca2.alku <= ca2.loppu
and ca2.alku < @loppu and ca2.loppu >= @alku
and ps.rnk=1
SELECT
opiskeluoikeus_oid
,neljannes = left(pvm, 1)
,neljannes_paivat
,alku = jakso
,loppu = jakso2
INTO #neljannekset
FROM (
SELECT distinct
opiskeluoikeus_oid
,alkamispaiva
,paattymispaiva
,neljannes_paivat
,[1_alku] = alkamispaiva
,[1_loppu] = dateadd(day,neljannes_paivat-1,alkamispaiva)
,[2_alku] = dateadd(day,neljannes_paivat,alkamispaiva)
,[2_loppu] = dateadd(day,neljannes_paivat*2-1,alkamispaiva)
,[3_alku] = dateadd(day,neljannes_paivat*2,alkamispaiva)
,[3_loppu] = dateadd(day,neljannes_paivat*3-1,alkamispaiva)
,[4_alku] = dateadd(day,neljannes_paivat*3,alkamispaiva)
,[4_loppu] = paattymispaiva
FROM #jaksot
CROSS APPLY (SELECT neljannes_paivat = (datediff(day, alkamispaiva, paattymispaiva) + 1) / 4.0) ca
) q
UNPIVOT (
jakso for pvm in ([1_alku],[2_alku],[3_alku],[4_alku])
) unpvt
UNPIVOT (
jakso2 for pvm2 in ([1_loppu],[2_loppu],[3_loppu],[4_loppu])
) unpvt
WHERE left(unpvt.pvm, 1) = left(unpvt.pvm2, 1)
SELECT
pv
,ehoks_id
,oo.opiskeluoikeus_oid
,osaamisen_hankkimistapa_koodi
,tyopaikan_ytunnus
,nel.neljannes
,nel.neljannes_paivat
,rnk = row_number() over (partition by ehoks_id, pv, osaamisen_hankkimistapa_koodi order by oo.alku desc, oo.loppu desc)
INTO #yhdistetty
FROM #jaksot oo
INNER JOIN #pvm_taulu p ON p.pv between oo.alku and oo.loppu
INNER JOIN #neljannekset nel on nel.opiskeluoikeus_oid = oo.opiskeluoikeus_oid and p.pv between nel.alku and nel.loppu
WHERE 1=1
SELECT
ehoks_id
,opiskeluoikeus_oid
,neljannes
,neljannes_paivat
,osaamisen_hankkimistapa_koodi
,tyopaikan_ytunnus
,paivat = sum(paivat)
INTO #temp_ehoks_netto
FROM (
SELECT
pv
,neljannes
,neljannes_paivat
,ehoks_id
,opiskeluoikeus_oid
,osaamisen_hankkimistapa_koodi
,tyopaikan_ytunnus
,paivat = case when count(*) >= 1 then 1 else 0 end
FROM #yhdistetty
WHERE rnk = 1
GROUP BY
pv
,neljannes
,neljannes_paivat
,ehoks_id
,opiskeluoikeus_oid
,osaamisen_hankkimistapa_koodi
,tyopaikan_ytunnus
) Q
GROUP BY neljannes
,neljannes_paivat
,ehoks_id
,opiskeluoikeus_oid
,osaamisen_hankkimistapa_koodi
,tyopaikan_ytunnus
--
IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_SCHEMA = 'sa' AND TABLE_NAME = 'sa_ehoks_osaamisen_hankkimisjaksot_netto')
BEGIN
insert into sa.sa_ehoks_osaamisen_hankkimisjaksot_netto select * from #temp_ehoks_netto
END
ELSE BEGIN
select * into sa.sa_ehoks_osaamisen_hankkimisjaksot_netto from #temp_ehoks_netto
END
--
DROP TABLE #jaksot
DROP TABLE #neljannekset
DROP TABLE #yhdistetty
DROP TABLE #temp_ehoks_netto
--
SET @alku = DATEADD(yy, 1, @alku)
SET @loppu = DATEADD(yy, 1, @alku)
END
DROP TABLE #pvm_taulu
GO
/****** Object: StoredProcedure [sa].[p_lataa_ehoks_osaamisen_hankkimistavat_paivat] Script Date: 27.1.2022 17:16:55 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
IF NOT EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[sa].[p_lataa_ehoks_osaamisen_hankkimistavat_paivat]') AND type in (N'P', N'PC'))
BEGIN
EXEC dbo.sp_executesql @statement = N'CREATE PROCEDURE [sa].[p_lataa_ehoks_osaamisen_hankkimistavat_paivat] AS'
END
GO
ALTER PROCEDURE [sa].[p_lataa_ehoks_osaamisen_hankkimistavat_paivat] AS
DECLARE @cols nvarchar(max)
DECLARE @ranks nvarchar(max)
DECLARE @ranks_over nvarchar(max)
DECLARE @query nvarchar(max)
SELECT
@cols = COALESCE(@cols + ',[' + oht + ']', '[' + oht + ']')
,@ranks = COALESCE(@ranks + ',[' + rnk + ']', '[' + rnk + ']')
,@ranks_over = COALESCE(@ranks_over + ',''_'' + max([' + rnk + ']) over (partition by ehoks_id)', 'max([' + rnk + ']) over (partition by ehoks_id)')
FROM (
SELECT DISTINCT
oht = koodi
,rnk = cast(rank() over (order by koodi) as char(1))
FROM dw.d_osaamisen_hankkimistapa
WHERE koodi != '-1'
) PV
ORDER BY oht
SET @query =
'
DROP TABLE IF EXISTS sa.sa_ehoks_osaamisen_hankkimistavat_paivat
;WITH kys AS (
SELECT
oht
,rnk = row_number() over (order by jarjestys)
FROM (
SELECT DISTINCT
oht = koodi
,jarjestys
FROM dw.d_osaamisen_hankkimistapa
WHERE koodi != ''-1''
) Q
)
SELECT
*
INTO sa.sa_ehoks_osaamisen_hankkimistavat_paivat
FROM (
SELECT
ehoks_id
,opiskeluoikeus_oid
,paivat
,osaamisen_hankkimistapa_koodi = osaamisen_hankkimistapa2
,osaamisen_hankkimistavat = ca.hankkimistavat
FROM (
SELECT
ehoks_id
,opiskeluoikeus_oid
,paivat
,osaamisen_hankkimistapa2
,hankkimistavat =
concat('
+ @ranks_over +
')
FROM (
SELECT
ehoks_id
,opiskeluoikeus_oid
,osaamisen_hankkimistapa = n.osaamisen_hankkimistapa_koodi
,osaamisen_hankkimistapa2 = k.oht
,paivat=sum(coalesce(paivat,0) )
,k.rnk
FROM sa.sa_ehoks_osaamisen_hankkimisjaksot_netto as n
LEFT JOIN kys as k on k.oht = n.osaamisen_hankkimistapa_koodi
--WHERE ehoks_id = 9082
GROUP BY ehoks_id,opiskeluoikeus_oid,n.osaamisen_hankkimistapa_koodi,k.oht,rnk
) Q
PIVOT (
min(osaamisen_hankkimistapa) for rnk in (' + @ranks + ')
) pvt
GROUP BY ehoks_id,opiskeluoikeus_oid,paivat,osaamisen_hankkimistapa2,' + @ranks + '
) Q
CROSS APPLY (
SELECT hankkimistavat = case when left(hankkimistavat,1) = ''_'' then substring(hankkimistavat,2,len(hankkimistavat)-1) else hankkimistavat end
) ca
) q
PIVOT (
sum(paivat) FOR osaamisen_hankkimistapa_koodi IN (' + @cols + ')
) p
ORDER BY ehoks_id
'
EXEC SP_EXECUTESQL @query;
|
delete from scoreshared;
delete from playerinstancecomment;
delete from playerinstance;
delete from score;
delete from player;
delete from invitation;
update user set profile_id = null;
delete from profile;
update file set owner_Id = null;
delete from file where id <> 7 and id<> 4;
delete from user;
delete from userconnection;
|
SELECT tab0.v1 AS v1 , tab6.v7 AS v7 , tab4.v5 AS v5 , tab5.v6 AS v6 , tab3.v4 AS v4 , tab2.v3 AS v3 , tab1.v2 AS v2
FROM (SELECT obj AS v1
FROM sorg__contactPoint$$1$$
WHERE sub = 'wsdbm:Retailer8055'
) tab0
JOIN (SELECT sub AS v1 , obj AS v2
FROM wsdbm__likes$$2$$
) tab1
ON(tab0.v1=tab1.v1)
JOIN (SELECT obj AS v3 , sub AS v2
FROM sorg__author$$3$$
) tab2
ON(tab1.v2=tab2.v2)
JOIN (SELECT obj AS v4 , sub AS v3
FROM wsdbm__follows$$4$$
) tab3
ON(tab2.v3=tab3.v3)
JOIN (SELECT obj AS v5 , sub AS v4
FROM wsdbm__makesPurchase$$5$$
) tab4
ON(tab3.v4=tab4.v4)
JOIN (SELECT sub AS v5 , obj AS v6
FROM wsdbm__purchaseFor$$6$$
) tab5
ON(tab4.v5=tab5.v5)
JOIN (SELECT obj AS v7 , sub AS v6
FROM og__tag$$7$$
) tab6
ON(tab5.v6=tab6.v6)
++++++Tables Statistic
og__tag$$7$$ 0 VP og__tag/
VP <og__tag> 1500803
------
wsdbm__makesPurchase$$5$$ 0 VP wsdbm__makesPurchase/
VP <wsdbm__makesPurchase> 1499988
------
wsdbm__follows$$4$$ 0 VP wsdbm__follows/
VP <wsdbm__follows> 32736135
------
wsdbm__purchaseFor$$6$$ 0 VP wsdbm__purchaseFor/
VP <wsdbm__purchaseFor> 1500000
------
sorg__contactPoint$$1$$ 0 VP sorg__contactPoint/
VP <sorg__contactPoint> 9565
------
sorg__author$$3$$ 0 VP sorg__author/
VP <sorg__author> 40060
------
wsdbm__likes$$2$$ 0 VP wsdbm__likes/
VP <wsdbm__likes> 1124672
------
|
CREATE DATABASE IF NOT EXISTS `working_tasks` CHARACTER SET utf8 COLLATE utf8_bin;
USE `working_tasks`;
CREATE TABLE IF NOT EXISTS `regs` (
`user_id` int(11) NOT NULL default '0',
`login` varchar(50) NOT NULL default '',
`reg_date` datetime NOT NULL default '0000-00-00 00:00:00',
PRIMARY KEY (`user_id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COMMENT='test task table for the UNION-IT'
|
#standardSQL
# Pages that opt out of FLoC
WITH response_headers AS (
SELECT
client,
page,
rank,
LOWER(JSON_VALUE(response_header, '$.name')) AS header_name,
LOWER(JSON_VALUE(response_header, '$.value')) AS header_value
FROM
`httparchive.almanac.requests`,
UNNEST(JSON_QUERY_ARRAY(response_headers)) response_header
WHERE
date = '2021-07-01' AND
firstHtml = TRUE
),
meta_tags AS (
SELECT
client,
url AS page,
LOWER(JSON_VALUE(meta_node, '$.http-equiv')) AS tag_name,
LOWER(JSON_VALUE(meta_node, '$.content')) AS tag_value
FROM (
SELECT
_TABLE_SUFFIX AS client,
url,
JSON_VALUE(payload, '$._almanac') AS metrics
FROM
`httparchive.pages.2021_07_01_*`
),
UNNEST(JSON_QUERY_ARRAY(metrics, '$.meta-nodes.nodes')) meta_node
WHERE
JSON_VALUE(meta_node, '$.http-equiv') IS NOT NULL
),
totals AS (
SELECT
client,
rank_grouping,
COUNT(DISTINCT page) AS total_websites
FROM
`httparchive.almanac.requests`,
UNNEST([1000, 10000, 100000, 1000000, 10000000]) AS rank_grouping
WHERE
date = '2021-07-01' AND
firstHtml = TRUE AND
rank <= rank_grouping
GROUP BY
client,
rank_grouping
)
SELECT
client,
rank_grouping,
COUNT(DISTINCT page) AS number_of_websites,
total_websites,
COUNT(DISTINCT page) / total_websites AS pct_websites
FROM
response_headers
FULL OUTER JOIN
meta_tags
USING (client, page),
UNNEST([1000, 10000, 100000, 1000000, 10000000]) AS rank_grouping
JOIN
totals
USING (client, rank_grouping)
WHERE
(
(
header_name = 'permissions-policy' AND
header_value LIKE 'interest-cohort=()' # value could contain other policies
) OR
(
tag_name = 'permissions-policy' AND
tag_value LIKE 'interest-cohort=()'
)
) AND
rank <= rank_grouping
GROUP BY
client,
rank_grouping,
total_websites
ORDER BY
rank_grouping,
client
|
DELETE
FROM studcourses;
DELETE
FROM course;
DELETE
FROM student;
DELETE
FROM instructor;
INSERT INTO instructor (instructid, instructname)
VALUES(1, 'Sally'),
(2, 'Lucy'),
(3, 'Charlie');
INSERT INTO course (courseid, coursename, instructid)
VALUES (1, 'Data Science', 1),
(2, 'JavaScript', 1),
(3, 'Node.js', 1),
(4, 'Java Back End', 2),
(5, 'Mobile IOS', 2),
(6, 'Mobile Android', 3);
INSERT INTO student (studid, studname)
VALUES (1, 'John'),
(2, 'Julian'),
(3, 'Mary'),
(4, 'Julian'),
(5, 'Tyler'),
(6, 'Kim'),
(7, 'Juan'),
(8, 'Robby'),
(9, 'Roberto'),
(10, 'Bob'),
(11, 'Liz'),
(12, 'June'),
(13, 'April');
INSERT INTO studcourses (studid, courseid)
VALUES (1, 1),
(1, 4),
(2, 2),
(3, 3),
(3, 1),
(3, 6);
alter sequence hibernate_sequence restart with 20;
|
/* create user location stream */
CREATE STREAM user_location
(user_id VARCHAR,
t_time_stamp VARCHAR,
t_millis INTEGER,
latitude DOUBLE,
longitude DOUBLE)
WITH (KAFKA_TOPIC='location01',
VALUE_FORMAT='DELIMITED');
/* create transaction location stream */
CREATE STREAM transaction_location
(merchant_id VARCHAR,
user_id VARCHAR,
t_time_stamp VARCHAR,
t_millis INTEGER,
amount VARCHAR,
latitude DOUBLE,
longitude DOUBLE)
WITH (KAFKA_TOPIC='transaction01',
VALUE_FORMAT='DELIMITED');
/* create stream by combining user and transaction location stream */
CREATE STREAM COMBINED_TRANSACTION_LOCATION_1 AS
SELECT tloc.user_id as user_id,
uloc.user_id as uloc_user_id,
tloc.merchant_id as merchant_id,
tloc.t_time_stamp as transaction_time,
tloc.t_millis as transaction_millis,
tloc.amount as amount,
tloc.latitude as tloc_latitude,
tloc.longitude as tloc_longitude,
uloc.t_time_stamp as user_location_time,
uloc.t_millis as user_location_millis,
uloc.latitude as uloc_latitude,
uloc.longitude as uloc_longitude,
GEO_DISTANCE(tloc.latitude, tloc.longitude, uloc.latitude, uloc.longitude, 'KM') as distance
FROM transaction_location tloc INNER JOIN user_location uloc WITHIN 10 MINUTES
ON tloc.user_id = uloc.user_id;
|
--
-- STANDARD DATA FOR olap_* TESTS.
--
-- start_ignore
drop table if exists customer cascade;
drop table if exists vendor cascade;
drop table if exists product cascade;
drop table if exists sale cascade;
drop table if exists sale_ord cascade;
drop table if exists util cascade;
-- end_ignore
create table customer
(
cn int not null,
cname text not null,
cloc text,
primary key (cn)
) distributed by (cn);
create table vendor
(
vn int not null,
vname text not null,
vloc text,
primary key (vn)
) distributed by (vn);
create table product
(
pn int not null,
pname text not null,
pcolor text,
primary key (pn)
) distributed by (pn);
create table sale
(
cn int not null,
vn int not null,
pn int not null,
dt date not null,
qty int not null,
prc float not null,
primary key (cn, vn, pn)
) distributed by (cn,vn,pn);
create table sale_ord
(
ord int not null,
cn int not null,
vn int not null,
pn int not null,
dt date not null,
qty int not null,
prc float not null,
primary key (cn, vn, pn)
) distributed by (cn,vn,pn);
create table util
(
xn int not null,
primary key (xn)
) distributed by (xn);
-- Customers
insert into customer values
( 1, 'Macbeth', 'Inverness'),
( 2, 'Duncan', 'Forres'),
( 3, 'Lady Macbeth', 'Inverness'),
( 4, 'Witches, Inc', 'Lonely Heath');
-- Vendors
insert into vendor values
( 10, 'Witches, Inc', 'Lonely Heath'),
( 20, 'Lady Macbeth', 'Inverness'),
( 30, 'Duncan', 'Forres'),
( 40, 'Macbeth', 'Inverness'),
( 50, 'Macduff', 'Fife');
-- Products
insert into product values
( 100, 'Sword', 'Black'),
( 200, 'Dream', 'Black'),
( 300, 'Castle', 'Grey'),
( 400, 'Justice', 'Clear'),
( 500, 'Donuts', 'Plain'),
( 600, 'Donuts', 'Chocolate'),
( 700, 'Hamburger', 'Grey'),
( 800, 'Fries', 'Grey');
-- Sales (transactions)
insert into sale values
( 2, 40, 100, '1401-1-1', 1100, 2400),
( 1, 10, 200, '1401-3-1', 1, 0),
( 3, 40, 200, '1401-4-1', 1, 0),
( 1, 20, 100, '1401-5-1', 1, 0),
( 1, 30, 300, '1401-5-2', 1, 0),
( 1, 50, 400, '1401-6-1', 1, 0),
( 2, 50, 400, '1401-6-1', 1, 0),
( 1, 30, 500, '1401-6-1', 12, 5),
( 3, 30, 500, '1401-6-1', 12, 5),
( 3, 30, 600, '1401-6-1', 12, 5),
( 4, 40, 700, '1401-6-1', 1, 1),
( 4, 40, 800, '1401-6-1', 1, 1);
-- Sales_ord (the identical table as Sales, except that
-- a unique identifier is added for each row.)
insert into sale_ord values
( 1,2, 40, 100, '1401-1-1', 1100, 2400),
( 2,1, 10, 200, '1401-3-1', 1, 0),
( 3,3, 40, 200, '1401-4-1', 1, 0),
( 4,1, 20, 100, '1401-5-1', 1, 0),
( 5,1, 30, 300, '1401-5-2', 1, 0),
( 6,1, 50, 400, '1401-6-1', 1, 0),
( 7,2, 50, 400, '1401-6-1', 1, 0),
( 8,1, 30, 500, '1401-6-1', 12, 5),
( 9,3, 30, 500, '1401-6-1', 12, 5),
( 10,3, 30, 600, '1401-6-1', 12, 5),
( 11,4, 40, 700, '1401-6-1', 1, 1),
( 12,4, 40, 800, '1401-6-1', 1, 1);
-- Util
insert into util values
(1),
(20),
(300);
|
CREATE EXTENSION
IF NOT EXISTS "uuid-ossp";
DROP TABLE IF EXISTS Teacher CASCADE;
DROP TABLE IF EXISTS DegreePlan CASCADE;
DROP TABLE IF EXISTS Student CASCADE;
DROP TABLE IF EXISTS Course CASCADE;
DROP TABLE IF EXISTS DegreeCourses CASCADE;
DROP TABLE IF EXISTS Registered CASCADE;
DROP TABLE IF EXISTS class CASCADE;
DROP TABLE IF EXISTS Prerequisite CASCADE;
DROP TABLE IF EXISTS Proposed CASCADE;
CREATE TABLE Teacher
(
TeacherId UUID NOT NULL DEFAULT uuid_generate_v1(),
TeacherFName varchar(25) NOT NULL,
TeacherLName varchar(25) NOT NULL,
Department varchar(50) NOT NULL,
Email varchar(50) NOT NULL,
DOB date NOT NULL,
TeacherAddress varchar(50) NOT NULL,
Phone char(13) NULL,
PassHash char(64) NOT NULL,
Salt varchar(50) NOT NULL
);
CREATE UNIQUE INDEX PK_Student_Teacher ON Teacher
(
TeacherId
);
CREATE TABLE DegreePlan
(
DegreePlanID UUID NOT NULL DEFAULT uuid_generate_v1(),
DegreeName varchar(50) NOT NULL,
Level char(2) NOT NULL
);
CREATE UNIQUE INDEX PK_DegreePlan ON DegreePlan
(
DegreePlanID
);
CREATE TABLE Student
(
StudentId UUID NOT NULL DEFAULT uuid_generate_v1(),
StudentFName varchar(25) NOT NULL,
StudentLName varchar(25) NOT NULL,
DegreePlanID uuid NULL,
Email varchar(50) NOT NULL,
DOB date NOT NULL,
StudentAddress varchar(50) NOT NULL,
Phone char(14) NULL,
PassHash char(64) NOT NULL,
Salt varchar(50) NOT NULL,
CONSTRAINT FK_289 FOREIGN KEY ( DegreePlanID ) REFERENCES DegreePlan ( DegreePlanID )
);
CREATE UNIQUE INDEX PK_Student ON Student
(
StudentId
);
CREATE INDEX fkIdx_289 ON Student
(
DegreePlanID
);
CREATE TABLE Course
(
CourseId uuid NOT NULL DEFAULT uuid_generate_v1(),
CourseName varchar(50) NOT NULL,
Credits smallint NOT NULL,
CourseLevel varchar(2) NOT NULL
);
CREATE UNIQUE INDEX PK_Course ON Course
(
CourseId
);
CREATE TABLE Classes
(
ClassId uuid NOT NULL DEFAULT uuid_generate_v1(),
CourseId uuid NOT NULL,
TeacherId uuid NOT NULL,
CRN varchar(5) NOT NULL,
Campus varchar(50) NULL,
StartDate date NOT NULL,
ClassDays varchar(7) NOT NULL,
StartTime time(6) NOT NULL,
EndTime time(6) NOT NULL,
ClassLocation varchar(50) NULL,
Semester varchar(10) NOT NULL,
CONSTRAINT FK_193 FOREIGN KEY ( CourseId ) REFERENCES Course ( CourseId ),
CONSTRAINT FK_252 FOREIGN KEY ( TeacherId ) REFERENCES Teacher ( TeacherId )
);
CREATE UNIQUE INDEX PK_Classes ON Classes
(
ClassId
);
CREATE INDEX fkIdx_193 ON Classes
(
CourseId
);
CREATE INDEX fkIdx_252 ON Classes
(
TeacherId
);
CREATE TABLE DegreeCourses
(
DegreePlanID uuid NOT NULL,
CourseId uuid NOT NULL,
CONSTRAINT FK_196 FOREIGN KEY ( CourseId ) REFERENCES Course ( CourseId ),
CONSTRAINT FK_283 FOREIGN KEY ( DegreePlanID ) REFERENCES DegreePlan ( DegreePlanID )
);
CREATE UNIQUE INDEX PK_table_157 ON DegreeCourses
(
CourseId,
DegreePlanID
);
CREATE INDEX fkIdx_196 ON DegreeCourses
(
CourseId
);
CREATE INDEX fkIdx_283 ON DegreeCourses
(
DegreePlanID
);
CREATE TABLE Registered
(
RegisteredId uuid NOT NULL DEFAULT uuid_generate_v1(),
ClassId uuid NOT NULL,
StudentId uuid NOT NULL,
Paid boolean NOT NULL,
Complete boolean NOT NULL,
LetterGrade char(1) NULL,
NumberGrade numeric NULL,
CONSTRAINT FK_268 FOREIGN KEY ( ClassId ) REFERENCES Classes ( ClassId ),
CONSTRAINT FK_271 FOREIGN KEY ( StudentId ) REFERENCES Student ( StudentId )
);
CREATE UNIQUE INDEX PK_Registered ON Registered
(
RegisteredId
);
CREATE INDEX fkIdx_268 ON Registered
(
ClassId
);
CREATE INDEX fkIdx_271 ON Registered
(
StudentId
);
CREATE TABLE Prerequisite
(
PrerequisiteId uuid NOT NULL DEFAULT uuid_generate_v1(),
CourseId uuid NOT NULL,
CourseId_Prerequisite uuid NOT NULL,
CONSTRAINT FK_210 FOREIGN KEY ( CourseId ) REFERENCES Course ( CourseId ),
CONSTRAINT FK_214 FOREIGN KEY ( CourseId_Prerequisite ) REFERENCES Course ( CourseId )
);
CREATE UNIQUE INDEX PK_Prerequisite ON Prerequisite
(
PrerequisiteId
);
CREATE INDEX fkIdx_210 ON Prerequisite
(
CourseId
);
CREATE INDEX fkIdx_214 ON Prerequisite
(
CourseId_Prerequisite
);
CREATE TABLE Proposed
(
ProposedId uuid NOT NULL DEFAULT uuid_generate_v1(),
StudentId uuid NOT NULL,
CourseId uuid NOT NULL,
StartTime time(6) NOT NULL,
EndTime time(6) NOT NULL,
ProposedDays varchar(7) NOT NULL,
CONSTRAINT FK_220 FOREIGN KEY ( CourseId ) REFERENCES Course ( CourseId ),
CONSTRAINT FK_255 FOREIGN KEY ( StudentId ) REFERENCES Student ( StudentId )
);
CREATE UNIQUE INDEX PK_Proposed ON Proposed
(
ProposedId
);
CREATE INDEX fkIdx_220 ON Proposed
(
CourseId
);
CREATE INDEX fkIdx_255 ON Proposed
(
StudentId
);
|
CREATE INDEX pick__rikishi_id_basho_id ON pick (rikishi_id, basho_id);
|
-- 秒杀执行存储过程
delimiter $$ -- ;转换为$$重新制定console的换行符
-- 参数定义: in 输入参数；out输出参数
-- row_count();用来返回上一条修改类型sql的影响行数
-- row_count() 0:未修改，>0:表示修改的行数，<0:sql错误或者未执行
create procedure `seckill`.`execute_seckill`(in v_seckill_id bigint, in v_phone bigint,
in v_kill_time timestamp, out r_result int)
begin
declare insert_count int default 0;
start transaction;
insert ignore into `success_killed` (`seckill_id`, `user_phone`, `state`, `create_time`)
values(v_seckill_id, v_phone, 0, v_kill_time);
select row_count() into insert_count;
if(insert_count = 0) then
rollback;
set r_result = -1;
elseif(insert_count < 0) then
rollback;
set r_result = -2;
else
update `seckill` set `number` = `number` - 1
where `seckill_id` = v_seckill_id and `end_time` > v_kill_time and `start_time` < v_kill_time and number > 0;
select row_count() into insert_count;
if(insert_count = 0) then
rollback;
set r_result = 0;
elseif(insert_count < 0) then
rollback;
set r_result = -2;
else
commit;
set r_result = 1;
end if;
end if;
end;$$
delimiter ; -- 将换行符修改为原来的分号
-- 在console中定义变量使用@符号，如set @r_result
set @r_result = -3;
-- 执行存储过程
call execute_seckill(1003, 12345678911, now(), @r_result);
-- 获取结果
select @r_result;
-- 存储过程优化：事务行级锁持有的时间，不要过度依赖存储过程
|
--new relationships for LOINC
DO $$
DECLARE
z int;
ex int;
pRelationship_name constant varchar(100):='Has system';
pRelationship_id constant varchar(100):='Has system';
pIs_hierarchical constant int:=0;
pDefines_ancestry constant int:=0;
pReverse_relationship_id constant varchar(100):='System of';
pRelationship_name_rev constant varchar(100):='System of';
pIs_hierarchical_rev constant int:=0;
pDefines_ancestry_rev constant int:=0;
BEGIN
DROP SEQUENCE IF EXISTS v5_concept;
SELECT MAX (concept_id) + 1 INTO ex FROM concept
--WHERE concept_id>=200 and concept_id<1000; --only for VIP concepts
WHERE concept_id >= 31967 AND concept_id < 72245;
EXECUTE 'CREATE SEQUENCE v5_concept INCREMENT BY 1 START WITH ' || ex || ' CACHE 20';
ALTER TABLE relationship DROP CONSTRAINT FPK_RELATIONSHIP_REVERSE;
--direct
SELECT nextval('v5_concept') INTO z;
INSERT INTO concept (concept_id, concept_name, domain_id, vocabulary_id, concept_class_id, standard_concept, concept_code, valid_start_date, valid_end_date, invalid_reason)
VALUES (z, pRelationship_name, 'Metadata', 'Relationship', 'Relationship', null, 'OMOP generated', TO_DATE ('19700101', 'YYYYMMDD'), TO_DATE ('20991231', 'YYYYMMDD'), null);
INSERT INTO relationship (relationship_id, relationship_name, is_hierarchical, defines_ancestry, reverse_relationship_id, relationship_concept_id)
VALUES (pRelationship_id, pRelationship_name, pIs_hierarchical, pDefines_ancestry, pReverse_relationship_id, z);
--reverse
SELECT nextval('v5_concept') INTO z;
INSERT INTO concept (concept_id, concept_name, domain_id, vocabulary_id, concept_class_id, standard_concept, concept_code, valid_start_date, valid_end_date, invalid_reason)
VALUES (z, pRelationship_name_rev, 'Metadata', 'Relationship', 'Relationship', null, 'OMOP generated', TO_DATE ('19700101', 'YYYYMMDD'), TO_DATE ('20991231', 'YYYYMMDD'), null);
INSERT INTO relationship (relationship_id, relationship_name, is_hierarchical, defines_ancestry, reverse_relationship_id, relationship_concept_id)
VALUES (pReverse_relationship_id, pRelationship_name_rev, pIs_hierarchical_rev, pDefines_ancestry_rev, pRelationship_id, z);
ALTER TABLE relationship ADD CONSTRAINT fpk_relationship_reverse FOREIGN KEY (reverse_relationship_id) REFERENCES relationship (relationship_id);
DROP SEQUENCE v5_concept;
END $$;
--new classes for LOINC
DO $$
DECLARE
z int;
ex int;
pConcept_class_id constant varchar(100):='LOINC System';
pConcept_class_name constant varchar(100):= 'LOINC System';
BEGIN
DROP SEQUENCE IF EXISTS v5_concept;
SELECT MAX (concept_id) + 1 INTO ex FROM concept
--WHERE concept_id>=200 and concept_id<1000; --only for VIP concepts
WHERE concept_id >= 31967 AND concept_id < 72245;
EXECUTE 'CREATE SEQUENCE v5_concept INCREMENT BY 1 START WITH ' || ex || ' CACHE 20';
SELECT nextval('v5_concept') INTO z;
INSERT INTO concept (concept_id, concept_name, domain_id, vocabulary_id, concept_class_id, standard_concept, concept_code, valid_start_date, valid_end_date, invalid_reason)
VALUES (z, pConcept_class_name, 'Metadata', 'Concept Class', 'Concept Class', null, 'OMOP generated', TO_DATE ('19700101', 'YYYYMMDD'), TO_DATE ('20991231', 'YYYYMMDD'), null);
INSERT INTO concept_class (concept_class_id, concept_class_name, concept_class_concept_id)
VALUES (pConcept_class_id, pConcept_class_name, z);
DROP SEQUENCE v5_concept;
END $$;
DO $$
DECLARE
z int;
ex int;
pConcept_class_id constant varchar(100):='LOINC Component';
pConcept_class_name constant varchar(100):= 'LOINC Component';
BEGIN
DROP SEQUENCE IF EXISTS v5_concept;
SELECT MAX (concept_id) + 1 INTO ex FROM concept
--WHERE concept_id>=200 and concept_id<1000; --only for VIP concepts
WHERE concept_id >= 31967 AND concept_id < 72245;
EXECUTE 'CREATE SEQUENCE v5_concept INCREMENT BY 1 START WITH ' || ex || ' CACHE 20';
SELECT nextval('v5_concept') INTO z;
INSERT INTO concept (concept_id, concept_name, domain_id, vocabulary_id, concept_class_id, standard_concept, concept_code, valid_start_date, valid_end_date, invalid_reason)
VALUES (z, pConcept_class_name, 'Metadata', 'Concept Class', 'Concept Class', null, 'OMOP generated', TO_DATE ('19700101', 'YYYYMMDD'), TO_DATE ('20991231', 'YYYYMMDD'), null);
INSERT INTO concept_class (concept_class_id, concept_class_name, concept_class_concept_id)
VALUES (pConcept_class_id, pConcept_class_name, z);
DROP SEQUENCE v5_concept;
END $$;
DO $$
DECLARE
z int;
ex int;
pConcept_class_id constant varchar(100):='LOINC Scale';
pConcept_class_name constant varchar(100):= 'LOINC Scale';
BEGIN
DROP SEQUENCE IF EXISTS v5_concept;
SELECT MAX (concept_id) + 1 INTO ex FROM concept
--WHERE concept_id>=200 and concept_id<1000; --only for VIP concepts
WHERE concept_id >= 31967 AND concept_id < 72245;
EXECUTE 'CREATE SEQUENCE v5_concept INCREMENT BY 1 START WITH ' || ex || ' CACHE 20';
SELECT nextval('v5_concept') INTO z;
INSERT INTO concept (concept_id, concept_name, domain_id, vocabulary_id, concept_class_id, standard_concept, concept_code, valid_start_date, valid_end_date, invalid_reason)
VALUES (z, pConcept_class_name, 'Metadata', 'Concept Class', 'Concept Class', null, 'OMOP generated', TO_DATE ('19700101', 'YYYYMMDD'), TO_DATE ('20991231', 'YYYYMMDD'), null);
INSERT INTO concept_class (concept_class_id, concept_class_name, concept_class_concept_id)
VALUES (pConcept_class_id, pConcept_class_name, z);
DROP SEQUENCE v5_concept;
END $$;
DO $$
DECLARE
z int;
ex int;
pConcept_class_id constant varchar(100):='LOINC Time';
pConcept_class_name constant varchar(100):= 'LOINC Time';
BEGIN
DROP SEQUENCE IF EXISTS v5_concept;
SELECT MAX (concept_id) + 1 INTO ex FROM concept
--WHERE concept_id>=200 and concept_id<1000; --only for VIP concepts
WHERE concept_id >= 31967 AND concept_id < 72245;
EXECUTE 'CREATE SEQUENCE v5_concept INCREMENT BY 1 START WITH ' || ex || ' CACHE 20';
SELECT nextval('v5_concept') INTO z;
INSERT INTO concept (concept_id, concept_name, domain_id, vocabulary_id, concept_class_id, standard_concept, concept_code, valid_start_date, valid_end_date, invalid_reason)
VALUES (z, pConcept_class_name, 'Metadata', 'Concept Class', 'Concept Class', null, 'OMOP generated', TO_DATE ('19700101', 'YYYYMMDD'), TO_DATE ('20991231', 'YYYYMMDD'), null);
INSERT INTO concept_class (concept_class_id, concept_class_name, concept_class_concept_id)
VALUES (pConcept_class_id, pConcept_class_name, z);
DROP SEQUENCE v5_concept;
END $$;
DO $$
DECLARE
z int;
ex int;
pConcept_class_id constant varchar(100):='LOINC Method';
pConcept_class_name constant varchar(100):= 'LOINC Method';
BEGIN
DROP SEQUENCE IF EXISTS v5_concept;
SELECT MAX (concept_id) + 1 INTO ex FROM concept
--WHERE concept_id>=200 and concept_id<1000; --only for VIP concepts
WHERE concept_id >= 31967 AND concept_id < 72245;
EXECUTE 'CREATE SEQUENCE v5_concept INCREMENT BY 1 START WITH ' || ex || ' CACHE 20';
SELECT nextval('v5_concept') INTO z;
INSERT INTO concept (concept_id, concept_name, domain_id, vocabulary_id, concept_class_id, standard_concept, concept_code, valid_start_date, valid_end_date, invalid_reason)
VALUES (z, pConcept_class_name, 'Metadata', 'Concept Class', 'Concept Class', null, 'OMOP generated', TO_DATE ('19700101', 'YYYYMMDD'), TO_DATE ('20991231', 'YYYYMMDD'), null);
INSERT INTO concept_class (concept_class_id, concept_class_name, concept_class_concept_id)
VALUES (pConcept_class_id, pConcept_class_name, z);
DROP SEQUENCE v5_concept;
END $$;
DO $$
DECLARE
z int;
ex int;
pConcept_class_id constant varchar(100):='LOINC Property';
pConcept_class_name constant varchar(100):= 'LOINC Property';
BEGIN
DROP SEQUENCE IF EXISTS v5_concept;
SELECT MAX (concept_id) + 1 INTO ex FROM concept
--WHERE concept_id>=200 and concept_id<1000; --only for VIP concepts
WHERE concept_id >= 31967 AND concept_id < 72245;
EXECUTE 'CREATE SEQUENCE v5_concept INCREMENT BY 1 START WITH ' || ex || ' CACHE 20';
SELECT nextval('v5_concept') INTO z;
INSERT INTO concept (concept_id, concept_name, domain_id, vocabulary_id, concept_class_id, standard_concept, concept_code, valid_start_date, valid_end_date, invalid_reason)
VALUES (z, pConcept_class_name, 'Metadata', 'Concept Class', 'Concept Class', null, 'OMOP generated', TO_DATE ('19700101', 'YYYYMMDD'), TO_DATE ('20991231', 'YYYYMMDD'), null);
INSERT INTO concept_class (concept_class_id, concept_class_name, concept_class_concept_id)
VALUES (pConcept_class_id, pConcept_class_name, z);
DROP SEQUENCE v5_concept;
END $$;
|
INSERT INTO public.restaurants(
client_id, name, cuisine, address)
VALUES (1, 'Carbone', 'Italian', '{"Address":"181 Thompson St","City":"New York","State":"NY","Zip":"10012"}');
INSERT INTO public.restaurants(
client_id, name, cuisine, address)
VALUES (2, 'Loring Place', 'American', '{"Address":"21 W 8th St","City":"New York","State":"NY","Zip":"10011"}');
INSERT INTO public.restaurants(
client_id, name, cuisine, address)
VALUES (3, 'Shuko', 'Japanese', '{"Address":"47 E 12th St","City":"New York","State":"NY","Zip":"10003"}');
INSERT INTO public.restaurants(
client_id, name, cuisine, address)
VALUES (4, 'Minetta Tavern', 'French', '{"Address":"113 Macdougal St","City":"New York","State":"NY","Zip":"10012"}');
INSERT INTO public.restaurants(
client_id, name, cuisine, address)
VALUES (5, 'Blue Hill', 'American', '{"Address":"75 Washington Pl","City":"New York","State":"NY","Zip":"10011"}');
|
# --- Created by Ebean DDL
# To stop Ebean DDL generation, remove this comment and start using Evolutions
# --- !Ups
create table telefono (
id bigint not null,
numero varchar(255),
movil boolean,
usuario_id bigint,
constraint pk_telefono primary key (id)
);
create sequence telefono_seq;
create table usuario (
id bigint not null,
nombre varchar(255),
apellidos varchar(255),
constraint pk_usuario primary key (id)
);
create sequence usuario_seq;
alter table telefono add constraint fk_telefono_usuario_id foreign key (usuario_id) references usuario (id) on delete restrict on update restrict;
create index ix_telefono_usuario_id on telefono (usuario_id);
# --- !Downs
alter table telefono drop constraint if exists fk_telefono_usuario_id;
drop index if exists ix_telefono_usuario_id;
drop table if exists telefono;
drop sequence if exists telefono_seq;
drop table if exists usuario;
drop sequence if exists usuario_seq;
|
USE [846Composer]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
-- =============================================
-- Author: Tom Whitson, CompanyName
-- Create date: 10/1/2021
-- Description: Procedure to clean ERPStaging
-- =============================================
CREATE PROCEDURE [dbo].[ERPStagingPurge]
AS
TRUNCATE TABLE [dbo].[ERPStaging];
|
/*
Navicat Premium Data Transfer
Source Server : MYSQL
Source Server Type : MySQL
Source Server Version : 80015
Source Host : localhost:3306
Source Schema : slim_doctrine_db
Target Server Type : MySQL
Target Server Version : 80015
File Encoding : 65001
Date: 04/04/2019 00:46:26
*/
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for t_access
-- ----------------------------
DROP TABLE IF EXISTS `t_access`;
CREATE TABLE `t_access` (
`f_user` bigint(20) UNSIGNED NULL DEFAULT NULL,
`KEY_` varchar(255) CHARACTER SET utf8 COLLATE utf8_unicode_ci NOT NULL,
`validation` varchar(2048) CHARACTER SET utf8 COLLATE utf8_unicode_ci NOT NULL,
`expiration` bigint(20) UNSIGNED NOT NULL DEFAULT 0,
`CREATED_AT_` datetime(0) NOT NULL,
`UPDATED_AT_` datetime(0) NOT NULL,
PRIMARY KEY (`KEY_`) USING BTREE,
INDEX `IDX_2F0E53AA79FB1CAB`(`f_user`) USING BTREE,
INDEX `key_idx`(`KEY_`) USING BTREE,
CONSTRAINT `FK_2F0E53AA79FB1CAB` FOREIGN KEY (`f_user`) REFERENCES `t_user` (`ID_`) ON DELETE CASCADE ON UPDATE RESTRICT
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_unicode_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of t_access
-- ----------------------------
INSERT INTO `t_access` VALUES (1, 'ded99998-5588-11e9-93e8-3c970ebf4a1e', '127.0.0.1 PostmanRuntime/7.6.1', 1554397331611, '2019-04-03 03:49:55', '2019-04-04 00:02:11');
-- ----------------------------
-- Table structure for t_test
-- ----------------------------
DROP TABLE IF EXISTS `t_test`;
CREATE TABLE `t_test` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`name` varchar(32) CHARACTER SET utf8 COLLATE utf8_unicode_ci NOT NULL,
PRIMARY KEY (`id`) USING BTREE,
INDEX `id_idx`(`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_unicode_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for t_user
-- ----------------------------
DROP TABLE IF EXISTS `t_user`;
CREATE TABLE `t_user` (
`username` varchar(64) CHARACTER SET utf8 COLLATE utf8_unicode_ci NOT NULL,
`password` varchar(128) CHARACTER SET utf8 COLLATE utf8_unicode_ci NOT NULL,
`fullname` varchar(128) CHARACTER SET utf8 COLLATE utf8_unicode_ci NOT NULL,
`phone` varchar(128) CHARACTER SET utf8 COLLATE utf8_unicode_ci NULL DEFAULT NULL,
`email` varchar(255) CHARACTER SET utf8 COLLATE utf8_unicode_ci NULL DEFAULT NULL,
`address` varchar(255) CHARACTER SET utf8 COLLATE utf8_unicode_ci NULL DEFAULT NULL,
`status` smallint(6) NOT NULL DEFAULT 1,
`role` smallint(5) UNSIGNED NOT NULL DEFAULT 1,
`photo` varchar(1024) CHARACTER SET utf8 COLLATE utf8_unicode_ci NULL DEFAULT NULL,
`ID_` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`VERSION_` bigint(20) UNSIGNED NOT NULL DEFAULT 1,
`CREATED_AT_` datetime(0) NOT NULL,
`UPDATED_AT_` datetime(0) NOT NULL,
PRIMARY KEY (`ID_`) USING BTREE,
UNIQUE INDEX `UNIQ_37E5BF3BF85E0677`(`username`) USING BTREE,
INDEX `id_idx`(`ID_`) USING BTREE,
INDEX `login_idx`(`username`, `password`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 14 CHARACTER SET = utf8 COLLATE = utf8_unicode_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of t_user
-- ----------------------------
INSERT INTO `t_user` VALUES ('admin', '41e5653fc7aeb894026d6bb7b2db7f65902b454945fa8fd65a6327047b5277fb', 'Admin', NULL, NULL, NULL, 1, 0, NULL, 1, 1, '2019-03-27 15:12:12', '2019-03-27 15:12:16');
INSERT INTO `t_user` VALUES ('test', '41e5653fc7aeb894026d6bb7b2db7f65902b454945fa8fd65a6327047b5277fb', 'Test', '08123456789xx', NULL, 'alamat ganti lagi', 1, 1, NULL, 2, 1, '2019-03-27 23:47:31', '2019-03-27 23:47:36');
SET FOREIGN_KEY_CHECKS = 1;
|
ALTER TABLE `admin` ADD `stripe_id` VARCHAR(255) NULL DEFAULT NULL AFTER `date_terminated`;
|
ALTER DATABASE news CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;
drop table if exists LINKS_TO_BE_PROCESSED;
create table LINKS_TO_BE_PROCESSED
(
link varchar(2000)
);
drop table if exists LINKS_ALREADY_PROCESSED;
create table LINKS_ALREADY_PROCESSED
(
link varchar(2000)
);
drop table if exists NEWS;
create table if not exists NEWS
(
ID BIGINT primary key auto_increment,
title text,
content text,
url varchar(2000),
created_at timestamp default now(),
modified_at timestamp default now()
);
|
# symTest.sql was originally generated by the autoSql program, which also
# generated symTest.c and symTest.h. This creates the database representation of
# an object which can be loaded and saved from RAM in a fairly
# automatic way.
#test of enum and set symbolic columns
CREATE TABLE symTest (
id int not null, # unique id
sex enum("male", "female") not null, # enumerated column
skills set("cProg", "javaProg", "pythonProg", "awkProg") not null, # set column
#Indices
PRIMARY KEY(id)
);
|
use payroll;
ALTER TABLE employee_master ADD emp_worktype VARCHAR(255) default NULL AFTER emp_post;
ALTER TABLE employee_master change emp_type_code emp_type_code VARCHAR(255) default NULL AFTER emp_worktype;
ALTER TABLE employee_master change emp_gender emp_gender VARCHAR(255) default NULL AFTER emp_pan_no;
ALTER TABLE employee_master change emp_citizen emp_citizen VARCHAR(255) default NULL AFTER emp_noti_day;
|
-- phpMyAdmin SQL Dump
-- version 4.6.5.2
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Jan 22, 2018 at 08:07 AM
-- Server version: 10.1.21-MariaDB
-- PHP Version: 5.6.30
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `phpcode`
--
-- --------------------------------------------------------
--
-- Table structure for table `salary`
--
CREATE TABLE `salary` (
`id` int(11) UNSIGNED NOT NULL,
`name` varchar(50) DEFAULT NULL,
`salary` varchar(33) DEFAULT NULL,
`remarks` varchar(50) DEFAULT NULL,
`empcode` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `salary`
--
INSERT INTO `salary` (`id`, `name`, `salary`, `remarks`, `empcode`) VALUES
(16, 'rana', '0', 'sdf', ''),
(17, 'ranar', '0', 'ser', ''),
(18, 'ranasss', '5000', 'asdasd', ''),
(19, 'tatasdf', '5000', 'asdas', ''),
(20, 'ranadfdf', '5000', 'asd', ''),
(21, 'rana', 'sad', 'asd', ''),
(22, 'rana', '5000', 'dfgd', ''),
(23, 'ranaa', 'dadsa', 'asdasd', ''),
(24, 'rana', 'sdfsdf', 'sdfsdf', ''),
(25, 'tareq', '500000', 'asdasd', ''),
(26, 'rana', 'asda', 'asdasd', 'E001'),
(27, 'rana', 'asdasd', 'asdasd', 'E002'),
(28, 'asdasd', '3434', 'sdfs', 'E003'),
(29, 'rana', 'asdasd', 'asdasd', 'E004');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `salary`
--
ALTER TABLE `salary`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `salary`
--
ALTER TABLE `salary`
MODIFY `id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=30;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
--@Autor: FLores Fuentes Kevin y Torres Verastegui Jose Antonio
--@Fecha creación: 15/06/2020
--@Descripción: Creacion de Entidades
Prompt Conectando como usuario Administrador..
connect fftv_proy_admin/admin
Prompt Creando Entidades y atributos:
create table entidad(
entidad_id number(10,0) constraint entidad_pk primary key,
clave varchar2(5) not null,
nombre varchar2(50) not null
);
create table placa(
placa_id number(10,0) constraint placa_pk primary key,
num_placa varchar2(20) not null constraint num_placa_uk unique,
fecha_asignacion date,
inactiva number(1,0) not null,
entidad_id number(10,0) not null,
constraint placa_entidad_id_fk foreign key (entidad_id)
references entidad(entidad_id)
);
create table marca(
marca_id number(10,0) constraint marca_pk primary key,
clave varchar2(15) not null,
descripcion varchar2(100) not null
);
create table modelo(
modelo_id number(10,0) constraint modelo_pk primary key,
nombre varchar2(20) not null,
marca_id number(10,0) not null,
constraint modelo_marca_id_fk foreign key (marca_id)
references marca(marca_id)
);
create table propietario(
propietario_id number(10,0) constraint propietario_pk primary key,
nombre varchar2(50) not null,
apellido_paterno varchar2(30) not null,
apellido_materno varchar2(30) not null,
RFC varchar2(13) default null,
email varchar2(150) not null
);
create table telefono_propietario(
telefono_propietario_id number(10,0) constraint telefono_propietario_pk primary key,
num_telefono number(15) not null constraint telefono_propietario_num_telefono_uk unique,
propietario_id number(10,0) not null,
constraint telefono_propietario_propietario_id_fk foreign key (propietario_id)
references propietario(propietario_id)
);
create table status_vehiculo(
status_vehiculo_id number(10,0) constraint status_vehiculo_pk primary key,
clave varchar2(30) not null,
descripcion varchar2(50) not null,
constraint clave_chk check(
clave='EN REGLA' or clave='CON LICENCIA EXPIRADA'
or clave='CON ADEUDO DE IMPUESTO' or
clave='CON VERIFICACION PENDIENTE'
)
);
create table vehiculo(
vehiculo_id number(10,0) constraint vehiculo_pk primary key,
anio varchar2(4) not null,
numero_serie varchar2(50) not null constraint numero_serie_uk unique,
es_transporte_publico number(1,0) not null,
es_carga number(1,0) not null,
es_particular number(1,0) not null,
inicio_periodo date default sysdate not null,
fecha_status date default sysdate not null,
num_serie_dispositivo varchar2(20) not null constraint
num_serie_dispositivo_uk unique,
modelo_id number(10,0)not null,
constraint vehiculo_modelo_id_fk foreign key (modelo_id)
references modelo(modelo_id),
placa_id number(10,0) not null constraint vehiculo_placa_id_uk unique,
constraint vehiculo_placa_id_fk foreign key (placa_id)
references placa(placa_id),
propietario_id number(10,0) not null,
constraint vehiculo_propietario_id_fk foreign key (propietario_id)
references propietario(propietario_id),
status_vehiculo_id number(10,0) not null,
constraint vehiculo_status_vehiculo_id_fk foreign key (status_vehiculo_id)
references status_vehiculo(status_vehiculo_id),
constraint tipo_vehiculo_chk check(
(es_particular=1 and es_carga=1 and es_transporte_publico=0) or
(es_particular=1 and es_carga=0 and es_transporte_publico=0) or
(es_particular=0 and es_carga=1 and es_transporte_publico=0) or
(es_particular=0 and es_carga=0 and es_transporte_publico=1)
)
);
create table registro_mediciones(
registro_mediciones_id number(10,0) constraint registro_mediciones_pk primary key,
HC number(4,0) not null,
CO number(4,3) not null,
NOX number(4,3) not null,
CO2 number(4,3) not null,
fecha date not null,
vehiculo_id number(10,0) not null,
constraint registro_mediciones_vehiculo_id_fk foreign key (vehiculo_id)
references vehiculo(vehiculo_id)
);
create table notificacion(
notificacion_id number(10,0) constraint notificacion_pk primary key,
num_notificacion number(5,0) not null,
fecha date not null,
registro_mediciones_id number(10,0) not null,
constraint notificacion_registro_mediciones_id_fk foreign key (registro_mediciones_id)
references registro_mediciones(registro_mediciones_id)
);
create table verificacion(
verificacion_id number(10,0) constraint verificacion_pk primary key,
fecha_verificacion date not null,
folio_verificacion varchar(13) not null constraint folio_verificacion_uk unique,
vehiculo_id number(10,0) not null,
constraint verificacion_vehiculo_id_fk foreign key (vehiculo_id)
references vehiculo(vehiculo_id)
);
create table tipo_licencia(
tipo_licencia_id number(10,0) constraint tipo_licencia_fk primary key,
clave varchar2(1) not null,
descripcion varchar2(50) not null
);
create table licencia(
licencia_id number(10,0) constraint licencia_pk primary key,
num_licencia varchar2(15) not null,
inicio_vigencia date not null,
fin_vigencia date not null,
licencia_anterior_id number(10,0),
constraint licencia_anterior_fk foreign key (licencia_anterior_id)
references licencia(licencia_id),
propietario_id number(10,0) not null,
constraint licencia_propietario_id_fk foreign key (propietario_id)
references propietario(propietario_id),
tipo_licencia_id number(10,0) not null,
constraint licencia_tipo_licencia_fk foreign key (tipo_licencia_id)
references tipo_licencia(tipo_licencia_id)
);
create table biometria(
licencia_id number(10,0) not null,
constraint biometria_licencia_id_fk foreign key (licencia_id)
references licencia(licencia_id),
foto blob not null,
firma blob not null,
huella_izq blob not null,
huella_der blob not null,
constraint biometria_pk primary key(licencia_id)
);
create table puntos_negativos(
puntos_negativos_id number(10,0) constraint puntos_negativos_pk primary key,
fecha date not null,
descripcion varchar2(50) not null,
cantidad number(2,0) not null,
documento_evidencia blob not null,
propietario_id number(10,0) not null,
constraint cantidad_chk check(cantidad>0),
constraint puntos_negativos_propietario_fk foreign key (propietario_id)
references propietario(propietario_id)
);
create table historico_status_vehiculo(
historico_status_vehiculo_id number(10,0) constraint historico_status_vehiculo_pk primary key,
fecha_status date not null,
vehiculo_id number(10,0) not null,
constraint historico_status_vehiculo_id_fk foreign key (vehiculo_id)
references vehiculo(vehiculo_id),
status_vehiculo_id number(10,0) not null,
constraint historico_status_vehiculo_status_fk foreign key (status_vehiculo_id)
references status_vehiculo(status_vehiculo_id)
);
create table historico_propietario(
historico_propietario_id number(10,0) constraint historico_propietario_pk primary key,
inicio_periodo date not null,
propietario_id number(10,0) not null,
constraint historico_propietario_propietario_fk foreign key (propietario_id)
references propietario(propietario_id),
vehiculo_id number(10,0) not null,
constraint historico_propietario_vehiculo_fk foreign key (vehiculo_id)
references vehiculo(vehiculo_id)
);
create table transporte_publico(
vehiculo_id number(10,0) not null,
constraint transporte_publico_vehiculo_fk foreign key (vehiculo_id)
references vehiculo(vehiculo_id),
num_pasajeros_sentados number(2,0) not null,
num_pasajeros_parados number(2,0) not null,
num_pasajeros_total as (num_pasajeros_parados+num_pasajeros_sentados) not null,
tipo_licencia_requerida_id number(10,0) not null,
constraint transporte_publico_tipo_licencia_fk foreign key (tipo_licencia_requerida_id)
references tipo_licencia(tipo_licencia_id)
);
create table carga(
vehiculo_id number(10,0) not null,
constraint carga_vehiculo_fk foreign key (vehiculo_id)
references vehiculo(vehiculo_id),
capacidad_toneladas number(5,2) not null,
capacidad_m3 number(5,2),
num_remolques number(2,0),
constraint carga_pk primary key(vehiculo_id)
);
create table particular(
vehiculo_id number(10,0) not null,
constraint particular_vehiculo_fk foreign key (vehiculo_id)
references vehiculo(vehiculo_id),
num_bolsas_aire number(2,0) not null,
tiene_abs number(1,0) not null,
tipo_transmision varchar2(1) not null,
constraint particular_pk primary key(vehiculo_id),
constraint tipo_transmision_chk check(
tipo_transmision='M' or tipo_transmision='A'
)
);
create table pago_cuota(
folio number(10,0) not null,
vehiculo_id number(10,0) not null,
constraint pago_cuota_vehiculo_fk foreign key (vehiculo_id)
references vehiculo(vehiculo_id),
fecha_pago date not null,
importe number(7,2) not null,
constraint pago_cuota_pk primary key(folio,vehiculo_id)
);
Prompt Creacion de entidades completado!.
disconnect;
|
{{ config(
cluster_by = "_airbyte_emitted_at",
partition_by = {"field": "_airbyte_emitted_at", "data_type": "timestamp", "granularity": "day"},
unique_key = '_airbyte_ab_id',
schema = "_airbyte_test_normalization",
tags = [ "top-level-intermediate" ]
) }}
-- SQL model to build a hash column based on the values of this record
select
{{ dbt_utils.surrogate_key([
'id',
'currency',
'new_column',
'date',
'timestamp_col',
'HKD_special___characters',
'NZD',
'USD',
]) }} as _airbyte_dedup_exchange_rate_hashid,
tmp.*
from {{ ref('dedup_exchange_rate_ab2') }} tmp
-- dedup_exchange_rate
where 1 = 1
{{ incremental_clause('_airbyte_emitted_at') }}
|
CREATE TYPE public.typ_range AS RANGE (
subtype = character varying,
collation = pg_catalog."ru_RU.utf8",
SUBTYPE_OPCLASS=date_ops,
CANONICAL=daterange_canonical
);
ALTER TYPE public.typ_range OWNER TO botov_av;
CREATE TYPE public.textrange111 AS RANGE (
subtype = text,
collation = pg_catalog."C"
);
ALTER TYPE public.textrange111 OWNER TO khazieva_gr;
|
-- phpMyAdmin SQL Dump
-- version 4.9.2
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Feb 25, 2020 at 05:04 AM
-- Server version: 10.4.11-MariaDB
-- PHP Version: 7.2.26
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `project`
--
-- --------------------------------------------------------
--
-- Table structure for table `admin`
--
CREATE TABLE `admin` (
`admin_id` int(11) NOT NULL,
`email` varchar(50) NOT NULL,
`password` varchar(500) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `admin`
--
INSERT INTO `admin` (`admin_id`, `email`, `password`) VALUES
(2, 'admin@admin.com', 'admin');
-- --------------------------------------------------------
--
-- Table structure for table `answer`
--
CREATE TABLE `answer` (
`qid` text NOT NULL,
`ansid` text NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `answer`
--
INSERT INTO `answer` (`qid`, `ansid`) VALUES
('55892169bf6a7', '55892169d2efc'),
('5589216a3646e', '5589216a48722'),
('558922117fcef', '5589221195248'),
('55892211e44d5', '55892211f1fa7'),
('558922894c453', '558922895ea0a'),
('558922899ccaa', '55892289aa7cf'),
('558923538f48d', '558923539a46c'),
('55892353f05c4', '55892354051be'),
('558973f4389ac', '558973f462e61'),
('558973f4c46f2', '558973f4d4abe'),
('558973f51600d', '558973f526fc5'),
('558973f55d269', '558973f57af07'),
('558973f5abb1a', '558973f5e764a'),
('5589751a63091', '5589751a81bf4'),
('5589751ad32b8', '5589751adbdbd'),
('5589751b304ef', '5589751b3b04d'),
('5589751b749c9', '5589751b9a98c'),
('5e54999b832cd', '5e54999baedcf');
-- --------------------------------------------------------
--
-- Table structure for table `feedback`
--
CREATE TABLE `feedback` (
`id` text NOT NULL,
`name` varchar(50) NOT NULL,
`email` varchar(50) NOT NULL,
`subject` varchar(500) NOT NULL,
`feedback` varchar(500) NOT NULL,
`date` date NOT NULL,
`time` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Table structure for table `history`
--
CREATE TABLE `history` (
`email` varchar(50) NOT NULL,
`eid` text NOT NULL,
`score` int(11) NOT NULL,
`level` int(11) NOT NULL,
`sahi` int(11) NOT NULL,
`wrong` int(11) NOT NULL,
`date` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Table structure for table `instructor`
--
CREATE TABLE `instructor` (
`inst_id` int(11) NOT NULL,
`name` varchar(20) DEFAULT NULL,
`email` varchar(50) NOT NULL,
`password` varchar(25) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `instructor`
--
INSERT INTO `instructor` (`inst_id`, `name`, `email`, `password`) VALUES
(2, 'Jay', 'jay@gmail.com', 'jayjay'),
(3, 'Rajan', 'rajan@gmail.com', 'rajanrajan');
-- --------------------------------------------------------
--
-- Table structure for table `options`
--
CREATE TABLE `options` (
`qid` varchar(50) NOT NULL,
`option` varchar(5000) NOT NULL,
`optionid` text NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `options`
--
INSERT INTO `options` (`qid`, `option`, `optionid`) VALUES
('55892169bf6a7', 'usermod', '55892169d2efc'),
('55892169bf6a7', 'useradd', '55892169d2f05'),
('55892169bf6a7', 'useralter', '55892169d2f09'),
('55892169bf6a7', 'groupmod', '55892169d2f0c'),
('5589216a3646e', '751', '5589216a48713'),
('5589216a3646e', '752', '5589216a4871a'),
('5589216a3646e', '754', '5589216a4871f'),
('5589216a3646e', '755', '5589216a48722'),
('558922117fcef', 'echo', '5589221195248'),
('558922117fcef', 'print', '558922119525a'),
('558922117fcef', 'printf', '5589221195265'),
('558922117fcef', 'cout', '5589221195270'),
('55892211e44d5', 'int a', '55892211f1f97'),
('55892211e44d5', '$a', '55892211f1fa7'),
('55892211e44d5', 'long int a', '55892211f1fb4'),
('55892211e44d5', 'int a$', '55892211f1fbd'),
('558922894c453', 'cin>>a;', '558922895ea0a'),
('558922894c453', 'cin<<a;', '558922895ea26'),
('558922894c453', 'cout>>a;', '558922895ea34'),
('558922894c453', 'cout<a;', '558922895ea41'),
('558922899ccaa', 'cout', '55892289aa7cf'),
('558922899ccaa', 'cin', '55892289aa7df'),
('558922899ccaa', 'print', '55892289aa7eb'),
('558922899ccaa', 'printf', '55892289aa7f5'),
('558923538f48d', '255.0.0.0', '558923539a46c'),
('558923538f48d', '255.255.255.0', '558923539a480'),
('558923538f48d', '255.255.0.0', '558923539a48b'),
('558923538f48d', 'none of these', '558923539a495'),
('55892353f05c4', '192.168.1.100', '5589235405192'),
('55892353f05c4', '172.168.16.2', '55892354051a3'),
('55892353f05c4', '10.0.0.0.1', '55892354051b4'),
('55892353f05c4', '11.11.11.11', '55892354051be'),
('558973f4389ac', 'containing root file-system required during bootup', '558973f462e44'),
('558973f4389ac', ' Contains only scripts to be executed during bootup', '558973f462e56'),
('558973f4389ac', ' Contains root-file system and drivers required to be preloaded during bootup', '558973f462e61'),
('558973f4389ac', 'None of the above', '558973f462e6b'),
('558973f4c46f2', 'Kernel', '558973f4d4abe'),
('558973f4c46f2', 'Shell', '558973f4d4acf'),
('558973f4c46f2', 'Commands', '558973f4d4ad9'),
('558973f4c46f2', 'Script', '558973f4d4ae3'),
('558973f51600d', 'Boot Loading', '558973f526f9d'),
('558973f51600d', ' Boot Record', '558973f526fb9'),
('558973f51600d', ' Boot Strapping', '558973f526fc5'),
('558973f51600d', ' Booting', '558973f526fce'),
('558973f55d269', ' Quick boot', '558973f57aef1'),
('558973f55d269', 'Cold boot', '558973f57af07'),
('558973f55d269', ' Hot boot', '558973f57af17'),
('558973f55d269', ' Fast boot', '558973f57af27'),
('558973f5abb1a', 'bash', '558973f5e7623'),
('558973f5abb1a', ' Csh', '558973f5e7636'),
('558973f5abb1a', ' ksh', '558973f5e7640'),
('558973f5abb1a', ' sh', '558973f5e764a'),
('5589751a63091', 'q', '5589751a81bd6'),
('5589751a63091', 'wq', '5589751a81be8'),
('5589751a63091', ' both (a) and (b)', '5589751a81bf4'),
('5589751a63091', ' none of the mentioned', '5589751a81bfd'),
('5589751ad32b8', ' moves screen down one page', '5589751adbdbd'),
('5589751ad32b8', 'moves screen up one page', '5589751adbdce'),
('5589751ad32b8', 'moves screen up one line', '5589751adbdd8'),
('5589751ad32b8', ' moves screen down one line', '5589751adbde2'),
('5589751b304ef', ' yy', '5589751b3b04d'),
('5589751b304ef', 'yw', '5589751b3b05e'),
('5589751b304ef', 'yc', '5589751b3b069'),
('5589751b304ef', ' none of the mentioned', '5589751b3b073'),
('5589751b749c9', 'X', '5589751b9a98c'),
('5589751b749c9', 'x', '5589751b9a9a5'),
('5589751b749c9', 'D', '5589751b9a9b7'),
('5589751b749c9', 'd', '5589751b9a9c9'),
('5589751bd02ec', 'autoindentation is not possible in vi editor', '5589751bdadaa'),
('5e54999b832cd', 'world wide web', '5e54999baedcf'),
('5e54999b832cd', 'www', '5e54999baedd5'),
('5e54999b832cd', 'w.w.w.', '5e54999baedd7'),
('5e54999b832cd', 'ww.w', '5e54999baedd9');
-- --------------------------------------------------------
--
-- Table structure for table `questions`
--
CREATE TABLE `questions` (
`eid` text NOT NULL,
`qid` text NOT NULL,
`qns` text NOT NULL,
`choice` int(10) NOT NULL,
`sn` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `questions`
--
INSERT INTO `questions` (`eid`, `qid`, `qns`, `choice`, `sn`) VALUES
('558920ff906b8', '55892169bf6a7', 'what is command for changing user information??', 4, 1),
('558920ff906b8', '5589216a3646e', 'what is permission for view only for other??', 4, 2),
('558921841f1ec', '558922117fcef', 'what is command for print in php??', 4, 1),
('558921841f1ec', '55892211e44d5', 'which is a variable of php??', 4, 2),
('5589222f16b93', '558922894c453', 'what is correct statement in c++??', 4, 1),
('5589222f16b93', '558922899ccaa', 'which command is use for print the output in c++?', 4, 2),
('558922ec03021', '558923538f48d', 'what is correct mask for A class IP???', 4, 1),
('558922ec03021', '55892353f05c4', 'which is not a private IP??', 4, 2),
('55897338a6659', '558973f4389ac', 'On Linux, initrd is a file', 4, 1),
('55897338a6659', '558973f4c46f2', 'Which is loaded into memory when system is booted?', 4, 2),
('55897338a6659', '558973f51600d', ' The process of starting up a computer is known as', 4, 3),
('55897338a6659', '558973f55d269', ' Bootstrapping is also known as', 4, 4),
('55897338a6659', '558973f5abb1a', 'The shell used for Single user mode shell is:', 4, 5),
('5589741f9ed52', '5589751a63091', ' Which command is used to close the vi editor?', 4, 1),
('5589741f9ed52', '5589751ad32b8', ' In vi editor, the key combination CTRL+f', 4, 2),
('5589741f9ed52', '5589751b304ef', ' Which vi editor command copies the current line of the file?', 4, 3),
('5589741f9ed52', '5589751b749c9', ' Which command is used to delete the character before the cursor location in vi editor?', 4, 4),
('5589741f9ed52', '5589751bd02ec', ' Which one of the following statement is true?', 4, 5),
('5e54997671781', '5e54999b832cd', 'www full form ?', 4, 1);
-- --------------------------------------------------------
--
-- Table structure for table `quiz`
--
CREATE TABLE `quiz` (
`eid` text NOT NULL,
`title` varchar(100) NOT NULL,
`sahi` int(11) NOT NULL,
`wrong` int(11) NOT NULL,
`total` int(11) NOT NULL,
`time` bigint(20) NOT NULL,
`intro` text NOT NULL,
`tag` varchar(100) NOT NULL,
`date` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `quiz`
--
INSERT INTO `quiz` (`eid`, `title`, `sahi`, `wrong`, `total`, `time`, `intro`, `tag`, `date`) VALUES
('558920ff906b8', 'Linux : File Managment', 2, 1, 2, 5, '', 'linux', '2015-06-23 09:03:59'),
('558921841f1ec', 'Php Coding', 2, 1, 2, 5, '', 'PHP', '2015-06-23 09:06:12'),
('5589222f16b93', 'C++ Coding', 2, 1, 2, 5, '', 'c++', '2015-06-23 09:09:03'),
('558922ec03021', 'Networking', 2, 1, 2, 5, '', 'networking', '2015-06-23 09:12:12'),
('55897338a6659', 'Linux:startup', 2, 1, 5, 10, '', 'linux', '2015-06-23 14:54:48'),
('5589741f9ed52', 'Linux :vi Editor', 2, 1, 5, 10, '', 'linux', '2015-06-23 14:58:39'),
('5e54997671781', 'Abc', 1, 1, 1, 1, 'Hii', '#123', '2020-02-25 03:50:14');
-- --------------------------------------------------------
--
-- Table structure for table `rank`
--
CREATE TABLE `rank` (
`email` varchar(50) NOT NULL,
`score` int(11) NOT NULL,
`time` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Table structure for table `user`
--
CREATE TABLE `user` (
`name` varchar(50) NOT NULL,
`gender` varchar(5) NOT NULL,
`college` varchar(100) NOT NULL,
`email` varchar(50) NOT NULL,
`mob` bigint(20) NOT NULL,
`password` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Indexes for dumped tables
--
--
-- Indexes for table `admin`
--
ALTER TABLE `admin`
ADD PRIMARY KEY (`admin_id`);
--
-- Indexes for table `instructor`
--
ALTER TABLE `instructor`
ADD PRIMARY KEY (`inst_id`);
--
-- Indexes for table `user`
--
ALTER TABLE `user`
ADD PRIMARY KEY (`email`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `admin`
--
ALTER TABLE `admin`
MODIFY `admin_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `instructor`
--
ALTER TABLE `instructor`
MODIFY `inst_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
alter table "public"."links" add constraint "Regex_constraint_incoming_link" check (incoming_link ~* '^\/[-\w\/]+$'::text);
|
WITH RECURSIVE
-- ...
simulation_hands (hand, packet_1, packet_2, pending_cards, war_count, winner) AS (
-- ...
UNION ALL
SELECT
hand + 1 AS hand,
( CASE simulation_hand_calculations.winner WHEN 1 THEN
simulation_hand_calculations.pending_cards || retained_packet_1
ELSE retained_packet_1 END ) AS packet_1,
( CASE simulation_hand_calculations.winner WHEN 2 THEN
simulation_hand_calculations.pending_cards || retained_packet_2
ELSE retained_packet_2 END ) AS packet_2,
( CASE WHEN simulation_hand_calculations.winner IS NULL THEN
simulation_hand_calculations.pending_cards
ELSE ARRAY[]::INTEGER[] END ) AS pending_cards,
(
CASE WHEN last_simulation_results.winner IS NOT NULL
AND simulation_hand_calculations.winner IS NULL
THEN last_simulation_results.war_count + 1
ELSE last_simulation_results.war_count END ) AS war_count,
simulation_hand_calculations.winner
FROM (
SELECT *
FROM simulation_hands
ORDER BY hand DESC
LIMIT 1
) last_simulation_results
|
-- this script is commented due to a new quota design that
-- not requires default quota.
-- select fn_db_add_column('quota', 'is_default_quota', 'BOOLEAN');
|
CREATE TABLE IF NOT EXISTS raw_mac (
registry VARCHAR(16) DEFAULT NULL,
assignment VARCHAR(12) NOT NULL PRIMARY KEY,
organization VARCHAR(256) DEFAULT NULL,
address VARCHAR(256) DEFAULT NULL) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_tenancy_tenantgroup (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
slug VARCHAR(100) DEFAULT NULL,
parent_id BIGINT DEFAULT NULL,
description VARCHAR(200) DEFAULT NULL,
level INT NOT NULL DEFAULT 0,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_tenancy_tenant (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
slug VARCHAR(100) DEFAULT NULL,
group_id BIGINT DEFAULT NULL,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
comments TEXT DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_dcim_sitegroup (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
slug VARCHAR(100) DEFAULT NULL,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
parent_id BIGINT DEFAULT NULL,
level INT NOT NULL DEFAULT 0,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_dcim_region (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
slug VARCHAR(100) DEFAULT NULL,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
parent_id BIGINT DEFAULT NULL,
level INT NOT NULL DEFAULT 0,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_dcim_site (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
slug VARCHAR(100) DEFAULT NULL,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
status VARCHAR(50) DEFAULT NULL,
region_id BIGINT DEFAULT NULL,
group_id BIGINT DEFAULT NULL,
tenant_id BIGINT DEFAULT NULL,
facility VARCHAR(50) DEFAULT NULL,
time_zone VARCHAR(63) DEFAULT NULL,
physical_address VARCHAR(200) DEFAULT NULL,
shipping_address VARCHAR(200) DEFAULT NULL,
latitude NUMERIC(8,6) DEFAULT NULL,
longitude NUMERIC(9,6) DEFAULT NULL,
contact_name VARCHAR(50) DEFAULT NULL,
contact_phone VARCHAR(20) DEFAULT NULL,
contact_email VARCHAR(254) DEFAULT NULL,
comments TEXT DEFAULT NULL,
asn BIGINT DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_dcim_location (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
slug VARCHAR(100) DEFAULT NULL,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
site_id BIGINT DEFAULT NULL,
parent_id BIGINT DEFAULT NULL,
level INT NOT NULL DEFAULT 0,
tenant_id BIGINT DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_dcim_rackrole (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
slug VARCHAR(100) DEFAULT NULL,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
color VARCHAR(6) DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_dcim_rack (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
facility_id VARCHAR(50) DEFAULT NULL,
site_id BIGINT DEFAULT NULL,
location_id BIGINT DEFAULT NULL,
tenant_id BIGINT DEFAULT NULL,
status VARCHAR(50) DEFAULT NULL,
role_id BIGINT DEFAULT NULL,
type VARCHAR(50) DEFAULT NULL,
serial VARCHAR(50) DEFAULT NULL,
asset_tag VARCHAR(50) DEFAULT NULL,
width SMALLINT DEFAULT NULL,
u_height SMALLINT DEFAULT NULL,
desc_units BOOLEAN DEFAULT NULL,
comments TEXT DEFAULT NULL,
outer_width SMALLINT DEFAULT NULL,
outer_depth SMALLINT DEFAULT NULL,
outer_unit VARCHAR(50) DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_dcim_manufacturer (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
slug VARCHAR(100) DEFAULT NULL,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_dcim_devicerole (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
slug VARCHAR(100) DEFAULT NULL,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
color VARCHAR(6) DEFAULT NULL,
vm_role BOOLEAN DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_dcim_platform (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
slug VARCHAR(100) DEFAULT NULL,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
manufacturer_id BIGINT DEFAULT NULL,
napalm_driver VARCHAR(50) DEFAULT NULL,
napalm_args VARCHAR(1024) DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_dcim_devicetype (
id BIGINT NOT NULL PRIMARY KEY,
slug VARCHAR(100) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
manufacturer_id BIGINT DEFAULT NULL,
model VARCHAR(100) DEFAULT NULL,
part_number VARCHAR(50) DEFAULT NULL,
u_height SMALLINT DEFAULT NULL,
is_full_depth BOOLEAN DEFAULT NULL,
subdevice_role VARCHAR(50) DEFAULT NULL,
airflow VARCHAR(50) DEFAULT NULL,
front_image VARCHAR(100) DEFAULT NULL,
rear_image VARCHAR(100) DEFAULT NULL,
comments TEXT DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_dcim_virtualchassis (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
domain VARCHAR(30) DEFAULT NULL,
master_id BIGINT DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_dcim_device (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
device_type_id BIGINT DEFAULT NULL,
device_role_id BIGINT DEFAULT NULL,
tenant_id BIGINT DEFAULT NULL,
platform_id BIGINT DEFAULT NULL,
serial VARCHAR(50) DEFAULT NULL,
asset_tag VARCHAR(50) DEFAULT NULL,
site_id BIGINT DEFAULT NULL,
location_id BIGINT DEFAULT NULL,
rack_id BIGINT DEFAULT NULL,
position SMALLINT DEFAULT NULL,
face VARCHAR(100) DEFAULT NULL,
parent_device_id BIGINT DEFAULT NULL,
status VARCHAR(50) DEFAULT NULL,
primary_ip VARCHAR(43) DEFAULT NULL,
primary_ip4_id BIGINT DEFAULT NULL,
primary_ip6_id BIGINT DEFAULT NULL,
cluster_id BIGINT DEFAULT NULL,
virtual_chassis_id BIGINT DEFAULT NULL,
vc_position SMALLINT DEFAULT NULL,
vc_priority SMALLINT DEFAULT NULL,
comments TEXT DEFAULT NULL,
local_context_data VARCHAR(1024) DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_dcim_interface (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(64) DEFAULT NULL,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
device_id BIGINT DEFAULT NULL,
type VARCHAR(50) DEFAULT NULL,
enabled BOOLEAN DEFAULT NULL,
parent_id BIGINT DEFAULT NULL,
bridge_id BIGINT DEFAULT NULL,
lag_id BIGINT DEFAULT NULL,
mtu INT DEFAULT NULL,
mac_address VARCHAR(17) DEFAULT NULL,
wwn VARCHAR(23) DEFAULT NULL,
mgmt_only BOOLEAN DEFAULT NULL,
mode VARCHAR(50) DEFAULT NULL,
rf_role VARCHAR(30) DEFAULT NULL,
rf_channel VARCHAR(50) DEFAULT NULL,
rf_channel_frequency NUMERIC(7,2) DEFAULT NULL,
rf_channel_width NUMERIC(7,3) DEFAULT NULL,
tx_power SMALLINT DEFAULT NULL,
untagged_vlan_id BIGINT DEFAULT NULL,
mark_connected BOOLEAN DEFAULT NULL,
label VARCHAR(64) DEFAULT NULL,
cable_id BIGINT DEFAULT NULL,
wireless_link_id BIGINT DEFAULT NULL,
link_peer VARCHAR(100) DEFAULT NULL,
link_peer_type INT DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_ipam_vrf (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
rd VARCHAR(21) DEFAULT NULL,
tenant_id BIGINT DEFAULT NULL,
enforce_unique BOOLEAN DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_ipam_role (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
slug VARCHAR(100) DEFAULT NULL,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
weight SMALLINT DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_ipam_vlangroup (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
slug VARCHAR(100) DEFAULT NULL,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
scope_type VARCHAR(100) DEFAULT NULL,
scope_id BIGINT DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_ipam_vlan (
id BIGINT NOT NULL PRIMARY KEY,
name VARCHAR(100) DEFAULT NULL,
slug VARCHAR(100) DEFAULT NULL,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
site_id BIGINT DEFAULT NULL,
group_id BIGINT DEFAULT NULL,
vid SMALLINT DEFAULT NULL,
tenant_id BIGINT DEFAULT NULL,
status VARCHAR(50) DEFAULT NULL,
role_id BIGINT DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_ipam_prefix (
id BIGINT NOT NULL PRIMARY KEY,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
family VARCHAR(50) DEFAULT NULL,
prefix VARCHAR(43) DEFAULT NULL,
site_id BIGINT DEFAULT NULL,
vrf_id BIGINT DEFAULT NULL,
tenant_id BIGINT DEFAULT NULL,
vlan_id BIGINT DEFAULT NULL,
status VARCHAR(50) DEFAULT NULL,
role_id BIGINT DEFAULT NULL,
is_pool BOOLEAN DEFAULT NULL,
mark_utilized BOOLEAN DEFAULT NULL,
level INT NOT NULL DEFAULT 0,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_ipam_iprange (
id BIGINT NOT NULL PRIMARY KEY,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
family VARCHAR(50) DEFAULT NULL,
start_address VARCHAR(43) DEFAULT NULL,
end_address VARCHAR(43) DEFAULT NULL,
size INT DEFAULT NULL,
vrf_id BIGINT DEFAULT NULL,
tenant_id BIGINT DEFAULT NULL,
status VARCHAR(50) DEFAULT NULL,
role_id BIGINT DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_netbox_ipam_ipaddress (
id BIGINT NOT NULL PRIMARY KEY,
description VARCHAR(200) DEFAULT NULL,
created DATE DEFAULT NULL,
last_updated DATETIME DEFAULT NULL,
family VARCHAR(50) DEFAULT NULL,
address VARCHAR(43) DEFAULT NULL,
vrf_id BIGINT DEFAULT NULL,
tenant_id BIGINT DEFAULT NULL,
status VARCHAR(50) DEFAULT NULL,
role VARCHAR(50) DEFAULT NULL,
assigned_object_type VARCHAR(100) DEFAULT NULL,
assigned_object_id VARCHAR(100) DEFAULT NULL,
assigned_object VARCHAR(100) DEFAULT NULL,
nat_inside_id BIGINT DEFAULT NULL,
nat_outside_id BIGINT DEFAULT NULL,
dns_name VARCHAR(255) DEFAULT NULL,
custom_fields VARCHAR(1024) DEFAULT NULL
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_scan_ip (
ipid INT NOT NULL PRIMARY KEY AUTO_INCREMENT,
ip VARCHAR(39) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL UNIQUE,
refid INT UNSIGNED NOT NULL,
sourceid INT UNSIGNED NOT NULL,
KEY refid (refid),
KEY sourceid (sourceid)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_scan_ip_info (
id INT NOT NULL PRIMARY KEY AUTO_INCREMENT,
ipid INT UNSIGNED NOT NULL,
infoid INT UNSIGNED NOT NULL,
value VARCHAR(256) COLLATE utf8mb4_bin NOT NULL,
KEY ipid (ipid),
KEY infoid (infoid)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_scan_arp (
arpid INT NOT NULL PRIMARY KEY AUTO_INCREMENT,
ip VARCHAR(39) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL,
routerid INT UNSIGNED NOT NULL,
mac VARCHAR(12) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL,
KEY ip (ip),
KEY routerid (routerid),
KEY mac (mac)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_scan_dhcp (
dhcpid INT UNSIGNED NOT NULL PRIMARY KEY AUTO_INCREMENT,
ip VARCHAR(39) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL,
routerid INT UNSIGNED NOT NULL,
mac VARCHAR(12) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci DEFAULT NULL,
KEY ip (ip),
KEY routerid (routerid),
KEY mac (mac)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_scan_port (
portid INT NOT NULL PRIMARY KEY AUTO_INCREMENT,
type VARCHAR(20) NOT NULL,
port INT UNSIGNED NOT NULL,
ipid INT UNSIGNED NOT NULL,
state VARCHAR(20) NOT NULL,
reason VARCHAR(20) NOT NULL,
KEY type (type),
KEY port (port),
KEY ipid (ipid),
KEY state (state),
KEY reason (reason),
KEY iptypeport (ipid, type, port)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_scan_script (
id INT NOT NULL PRIMARY KEY AUTO_INCREMENT,
portid INT UNSIGNED NOT NULL,
script VARCHAR(100) NOT NULL,
value VARCHAR(16100) NOT NULL,
KEY portid (portid),
KEY script (script)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_scan_service (
id INT NOT NULL PRIMARY KEY AUTO_INCREMENT,
portid INT UNSIGNED NOT NULL,
product VARCHAR(100) DEFAULT NULL,
version VARCHAR(50) DEFAULT NULL,
extrainfo VARCHAR(256) DEFAULT NULL,
conf INT DEFAULT NULL,
cpe VARCHAR(100) DEFAULT NULL,
name VARCHAR(50) DEFAULT NULL,
method VARCHAR(256) DEFAULT NULL,
servicefp VARCHAR(14100) DEFAULT NULL,
KEY portid (portid),
KEY product (product),
KEY cpe (cpe)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_scan_osportused (
id INT NOT NULL PRIMARY KEY AUTO_INCREMENT,
ipid INT UNSIGNED NOT NULL,
state VARCHAR(20) NOT NULL,
proto VARCHAR(20) NOT NULL,
port INT UNSIGNED NOT NULL,
KEY ipid (ipid)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_scan_osmatch (
osmatchid INT NOT NULL PRIMARY KEY AUTO_INCREMENT,
ipid INT UNSIGNED NOT NULL,
name VARCHAR(256) NOT NULL,
accuracy INT UNSIGNED NOT NULL,
line INT DEFAULT NULL,
KEY ipid (ipid),
KEY name (name)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_scan_osclass (
osclassid INT NOT NULL PRIMARY KEY AUTO_INCREMENT,
osmatchid INT UNSIGNED NOT NULL,
type VARCHAR(50) DEFAULT NULL,
vendor VARCHAR(50) DEFAULT NULL,
osfamily VARCHAR(50) DEFAULT NULL,
osgen VARCHAR(20) DEFAULT NULL,
accuracy INT UNSIGNED NOT NULL,
cpe VARCHAR(100) DEFAULT NULL,
KEY osmatchid (osmatchid)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_enplug (
enplugid INT NOT NULL PRIMARY KEY AUTO_INCREMENT,
macaddressethernet VARCHAR(17) DEFAULT NULL,
macaddresswifi VARCHAR(17) DEFAULT NULL,
ipaddress VARCHAR(39) DEFAULT NULL,
internalipaddress VARCHAR(39) DEFAULT NULL,
edu_id VARCHAR(256) DEFAULT NULL,
edu_name VARCHAR(256) DEFAULT NULL,
venue_timezone VARCHAR(100) DEFAULT NULL,
venue_id VARCHAR(256) DEFAULT NULL,
venue_name VARCHAR(256) DEFAULT NULL,
account_id VARCHAR(256) DEFAULT NULL,
account_name VARCHAR(256) DEFAULT NULL,
statuscode VARCHAR(20) DEFAULT NULL,
statusmessage VARCHAR(1024) DEFAULT NULL,
lastplayerheartbeat VARCHAR(100) DEFAULT NULL,
playeruptime INT DEFAULT NULL,
tvstatus VARCHAR(100) DEFAULT NULL,
playerversion VARCHAR(20) DEFAULT NULL,
created DATETIME DEFAULT NULL,
tags VARCHAR(1024) DEFAULT NULL,
KEY venue_id (venue_id),
KEY venue_timezone (venue_timezone),
KEY ipaddress (ipaddress),
KEY statuscode (statuscode)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_activaire (
activaireid INT NOT NULL PRIMARY KEY AUTO_INCREMENT,
_id VARCHAR(256) DEFAULT NULL,
name VARCHAR(256) DEFAULT NULL,
macaddress VARCHAR(17) DEFAULT NULL,
remotevolume INT DEFAULT NULL,
remotevolumemode VARCHAR(10) DEFAULT NULL,
lastonline BIGINT DEFAULT NULL,
isplaying VARCHAR(10) DEFAULT NULL,
makeandmodel VARCHAR(20) DEFAULT NULL,
ethernetmacaddress VARCHAR(17) DEFAULT NULL,
internalipaddress VARCHAR(39) DEFAULT NULL,
publicipaddress VARCHAR(39) DEFAULT NULL,
appversion VARCHAR(20) DEFAULT NULL,
currentsong VARCHAR(256) DEFAULT NULL,
devicestatus VARCHAR(20) DEFAULT NULL,
KEY _id (_id),
KEY publicipaddress (publicipaddress),
KEY internalipaddress (internalipaddress),
KEY devicestatus (devicestatus)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_snmp (
snmpid INT NOT NULL PRIMARY KEY AUTO_INCREMENT,
ipid INT UNSIGNED NOT NULL,
oidid INT UNSIGNED DEFAULT NULL,
oid VARCHAR(256) NOT NULL,
snmp_type VARCHAR(20) NOT NULL,
value VARCHAR(1000) NOT NULL,
value_hex VARCHAR(2000) NOT NULL,
vlan INT UNSIGNED DEFAULT NULL,
KEY ipid (ipid),
KEY oidid (oidid),
KEY oid (oid),
KEY snmp_type (snmp_type),
KEY vlan (vlan)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_ruckussz (
wapid INT NOT NULL PRIMARY KEY AUTO_INCREMENT,
ip VARCHAR(39) DEFAULT NULL,
wlcip VARCHAR(39) DEFAULT NULL,
externalip VARCHAR(39) DEFAULT NULL,
mac VARCHAR(17) DEFAULT NULL,
name VARCHAR(256) DEFAULT NULL,
model VARCHAR(256) DEFAULT NULL,
location VARCHAR(256) DEFAULT NULL,
administrativestate VARCHAR(20) DEFAULT NULL,
countrycode VARCHAR(20) DEFAULT NULL,
configstate VARCHAR(20) DEFAULT NULL,
connectionstate VARCHAR(20) DEFAULT NULL,
registrationstate VARCHAR(20) DEFAULT NULL,
lastseentime BIGINT DEFAULT NULL,
approvedtime BIGINT DEFAULT NULL,
uptime BIGINT DEFAULT NULL,
clientcount INT DEFAULT NULL,
KEY ip (ip),
KEY externalip (externalip),
KEY wlcip (wlcip),
KEY mac (mac),
KEY connectionstate (connectionstate),
KEY lastseentime (lastseentime)
) ENGINE=InnoDB;
CREATE TABLE IF NOT EXISTS raw_mist (
mistid INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
ip VARCHAR(39) DEFAULT NULL,
ext_ip VARCHAR(39) DEFAULT NULL,
mac VARCHAR(17) DEFAULT NULL,
status VARCHAR(20) DEFAULT NULL,
type VARCHAR(20) DEFAULT NULL,
last_seen BIGINT DEFAULT NULL,
uptime BIGINT DEFAULT NULL,
name VARCHAR(100) DEFAULT NULL,
model VARCHAR(20) DEFAULT NULL,
lldp_stat_chassis_id VARCHAR(17) DEFAULT NULL,
lldp_stat_system_name VARCHAR(100) DEFAULT NULL,
lldp_stat_system_desc VARCHAR(256) DEFAULT NULL,
lldp_stat_port_desc VARCHAR(100) DEFAULT NULL,
lldp_stat_port_id VARCHAR(50) DEFAULT NULL,
KEY ip (ip),
KEY ext_ip (ext_ip),
KEY mac (mac),
KEY status (status),
KEY last_seen (last_seen)
) ENGINE=InnoDB;
|
-- Github: github.com/RodneyShag
SELECT SUM(CITY.POPULATION)
FROM CITY, COUNTRY
WHERE CITY.COUNTRYCODE = COUNTRY.CODE AND COUNTRY.CONTINENT = 'Asia';
|
#standardSQL
# SEO stats
# Note: Canonical metrics moved to pages-canonical-stats.sql. Should be removed from here in 2022.
# returns all the data we need from _wpt_bodies
CREATE TEMPORARY FUNCTION getSeoStatsWptBodies(wpt_bodies_string STRING)
RETURNS STRUCT<
# tags
n_titles INT64,
title_words INT64,
n_meta_descriptions INT64,
n_h1 INT64,
n_h2 INT64,
n_h3 INT64,
n_h4 INT64,
n_non_empty_h1 INT64,
n_non_empty_h2 INT64,
n_non_empty_h3 INT64,
n_non_empty_h4 INT64,
has_same_h1_title BOOL,
# robots
robots_has_robots_meta_tag BOOL,
robots_has_x_robots_tag BOOL,
rendering_changed_robots_meta_tag BOOL,
# canonical
has_canonicals BOOL,
has_self_canonical BOOL,
is_canonicalized BOOL,
has_http_canonical BOOL,
has_rendered_canonical BOOL,
has_raw_canonical BOOL,
has_canonical_mismatch BOOL,
rendering_changed_canonical BOOL,
http_header_changed_canonical BOOL,
# hreflang
rendering_changed_hreflang BOOL,
has_hreflang BOOL,
has_http_hreflang BOOL,
has_rendered_hreflang BOOL,
has_raw_hreflang BOOL,
# structured data
has_raw_jsonld_or_microdata BOOL,
has_rendered_jsonld_or_microdata BOOL,
rendering_changes_structured_data BOOL,
# meta robots
rendered_otherbot_status_index BOOL,
rendered_otherbot_status_follow BOOL,
rendered_otherbot_noarchive BOOL,
rendered_otherbot_nosnippet BOOL,
rendered_otherbot_unavailable_after BOOL,
rendered_otherbot_max_snippet BOOL,
rendered_otherbot_max_image_preview BOOL,
rendered_otherbot_max_video_preview BOOL,
rendered_otherbot_notranslate BOOL,
rendered_otherbot_noimageindex BOOL,
rendered_otherbot_nocache BOOL,
rendered_googlebot_status_index BOOL,
rendered_googlebot_status_follow BOOL,
rendered_googlebot_noarchive BOOL,
rendered_googlebot_nosnippet BOOL,
rendered_googlebot_unavailable_after BOOL,
rendered_googlebot_max_snippet BOOL,
rendered_googlebot_max_image_preview BOOL,
rendered_googlebot_max_video_preview BOOL,
rendered_googlebot_notranslate BOOL,
rendered_googlebot_noimageindex BOOL,
rendered_googlebot_nocache BOOL,
rendered_googlebot_news_status_index BOOL,
rendered_googlebot_news_status_follow BOOL,
rendered_googlebot_news_noarchive BOOL,
rendered_googlebot_news_nosnippet BOOL,
rendered_googlebot_news_unavailable_after BOOL,
rendered_googlebot_news_max_snippet BOOL,
rendered_googlebot_news_max_image_preview BOOL,
rendered_googlebot_news_max_video_preview BOOL,
rendered_googlebot_news_notranslate BOOL,
rendered_googlebot_news_noimageindex BOOL,
rendered_googlebot_news_nocache BOOL
> LANGUAGE js AS '''
var result = {};
try {
var wpt_bodies = JSON.parse(wpt_bodies_string);
if (Array.isArray(wpt_bodies) || typeof wpt_bodies != 'object') return result;
// checks if two string arrays contain the same strings
function compareStringArrays(array1, array2) {
if (!array1 && !array2) return true; // both missing
if (!array1 && array2.length > 0) return false;
if (!array2 && array1.length > 0) return false;
if (array1.length != array2.length) return false;
array1 = array1.slice();
array1.sort();
array2 = array2.slice();
array2.sort();
for (var i = 0; i < array1.length; i++) {
if (array1[i] != array2[i]) {
return false;
}
}
return true;
}
var title = wpt_bodies.title;
if (title) {
if (title.rendered) {
var title_rendered = title.rendered;
//Number of words in the title tag
if (title_rendered.primary) {
result.title_words = title_rendered.primary.words;
}
//If the webpage has a title
result.n_titles = title_rendered.total
}
}
var meta_description = wpt_bodies.meta_description;
if (meta_description) {
if (meta_description.rendered) {
//If the webpage has a meta description
result.n_meta_descriptions = meta_description.rendered.total;
}
}
var headings = wpt_bodies.headings;
if (headings) {
var headings_rendered = headings.rendered;
if (headings_rendered) {
//If the webpage has h1
result.n_h1 = headings_rendered.h1.total;
//If the webpage has h2
result.n_h2 = headings_rendered.h2.total;
//If the webpage has h3
result.n_h3 = headings_rendered.h3.total;
//If the webpage has h4
result.n_h4 = headings_rendered.h4.total;
//If the webpage has a non empty h1
result.n_non_empty_h1 = headings_rendered.h1.non_empty_total;
//If the webpage has a non empty h2
result.n_non_empty_h2 = headings_rendered.h2.non_empty_total;
//If the webpage has a non empty h3
result.n_non_empty_h3 = headings_rendered.h3.non_empty_total;
//If the webpage has a non empty h4
result.n_non_empty_h4 = headings_rendered.h4.non_empty_total;
//If h1 and title tag are the same
result.has_same_h1_title = headings_rendered.primary.matches_title;
}
}
var robots = wpt_bodies.robots;
if (robots) {
result.robots_has_robots_meta_tag = robots.has_robots_meta_tag;
result.robots_has_x_robots_tag = robots.has_x_robots_tag;
// added to rendered
// has_rendered_robots_meta_tag ???
// added to raw
// raw and rendered are different
//rendering_changed_robots_meta_tag
// if the raw and rendered data are different.
if (robots.raw && robots.rendered) {
var rendered = robots.rendered;
var raw = robots.raw;
if (
rendered.otherbot.status_index !== raw.otherbot.status_index ||
rendered.otherbot.status_follow !== raw.otherbot.status_follow ||
rendered.googlebot.status_index !== raw.googlebot.status_index ||
rendered.googlebot.status_follow !== raw.googlebot.status_follow ||
rendered.googlebot_news.status_index !== raw.googlebot_news.status_index ||
rendered.googlebot_news.status_follow !== raw.googlebot_news.status_follow ||
JSON.stringify(rendered.google) !== JSON.stringify(raw.google)
)
{
result.rendering_changed_robots_meta_tag = true;
}
else
{
result.rendering_changed_robots_meta_tag = false;
}
result.rendered_otherbot_status_index = rendered.otherbot.status_index;
result.rendered_otherbot_status_follow = rendered.otherbot.status_follow;
result.rendered_otherbot_noarchive = rendered.otherbot.noarchive === true;
result.rendered_otherbot_nosnippet = rendered.otherbot.nosnippet === true;
result.rendered_otherbot_unavailable_after = rendered.otherbot.unavailable_after === true;
result.rendered_otherbot_max_snippet = rendered.otherbot.max_snippet === true;
result.rendered_otherbot_max_image_preview = rendered.otherbot.max_image_preview === true;
result.rendered_otherbot_max_video_preview = rendered.otherbot.max_video_preview === true;
result.rendered_otherbot_notranslate = rendered.otherbot.notranslate === true;
result.rendered_otherbot_noimageindex = rendered.otherbot.noimageindex === true;
result.rendered_otherbot_nocache = rendered.otherbot.nocache === true;
result.rendered_googlebot_status_index = rendered.googlebot.status_index;
result.rendered_googlebot_status_follow = rendered.googlebot.status_follow;
result.rendered_googlebot_noarchive = rendered.googlebot.noarchive === true;
result.rendered_googlebot_nosnippet = rendered.googlebot.nosnippet === true;
result.rendered_googlebot_unavailable_after = rendered.googlebot.unavailable_after === true;
result.rendered_googlebot_max_snippet = rendered.googlebot.max_snippet === true;
result.rendered_googlebot_max_image_preview = rendered.googlebot.max_image_preview === true;
result.rendered_googlebot_max_video_preview = rendered.googlebot.max_video_preview === true;
result.rendered_googlebot_notranslate = rendered.googlebot.notranslate === true;
result.rendered_googlebot_noimageindex = rendered.googlebot.noimageindex === true;
result.rendered_googlebot_nocache = rendered.googlebot.nocache === true;
result.rendered_googlebot_news_status_index = rendered.googlebot_news.status_index;
result.rendered_googlebot_news_status_follow = rendered.googlebot_news.status_follow;
result.rendered_googlebot_news_noarchive = rendered.googlebot_news.noarchive === true;
result.rendered_googlebot_news_nosnippet = rendered.googlebot_news.nosnippet === true;
result.rendered_googlebot_news_unavailable_after = rendered.googlebot_news.unavailable_after === true;
result.rendered_googlebot_news_max_snippet = rendered.googlebot_news.max_snippet === true;
result.rendered_googlebot_news_max_image_preview = rendered.googlebot_news.max_image_preview === true;
result.rendered_googlebot_news_max_video_preview = rendered.googlebot_news.max_video_preview === true;
result.rendered_googlebot_news_notranslate = rendered.googlebot_news.notranslate === true;
result.rendered_googlebot_news_noimageindex = rendered.googlebot_news.noimageindex === true;
result.rendered_googlebot_news_nocache = rendered.googlebot_news.nocache === true;
// result.rendering_changed_robots_meta_tag = JSON.stringify(robots.raw) === JSON.stringify(robots.rendered);
}
}
var canonicals = wpt_bodies.canonicals;
if (canonicals) {
if (canonicals.canonicals && canonicals.canonicals.length) {
result.has_canonicals = canonicals.canonicals.length > 0;
}
if (canonicals.self_canonical) {
result.has_self_canonical = canonicals.self_canonical;
}
if (canonicals.other_canonical) {
result.is_canonicalized = canonicals.other_canonical;
}
if (canonicals.http_header_link_canoncials) {
result.has_http_canonical = canonicals.http_header_link_canoncials.length > 0;
}
result.has_rendered_canonical = false; // used in a NOT so must be set for a simple query to work
if (canonicals.rendered && canonicals.rendered.html_link_canoncials) {
result.has_rendered_canonical = canonicals.rendered.html_link_canoncials.length > 0;
}
result.has_raw_canonical = false; // used in a NOT so must be set for a simple query to work
if (canonicals.raw && canonicals.raw.html_link_canoncials) {
result.has_raw_canonical = canonicals.raw.html_link_canoncials.length > 0;
}
if (canonicals.canonical_missmatch) {
result.has_canonical_mismatch = canonicals.canonical_missmatch;
}
if (canonicals.raw && canonicals.rendered) {
result.rendering_changed_canonical = !compareStringArrays(canonicals.raw.html_link_canoncials, canonicals.rendered.html_link_canoncials);
}
if (canonicals.raw && canonicals.http_header_link_canoncials && canonicals.http_header_link_canoncials.length > 0) {
result.http_header_changed_canonical = !compareStringArrays(canonicals.raw.html_link_canoncials, canonicals.http_header_link_canoncials);
}
}
var hreflangs = wpt_bodies.hreflangs;
if (hreflangs) {
if (hreflangs.raw && hreflangs.raw.values && hreflangs.rendered && hreflangs.rendered.values) {
result.rendering_changed_hreflang = !compareStringArrays(hreflangs.raw.values, hreflangs.rendered.values);
}
if (hreflangs.rendered && hreflangs.rendered.values) {
result.has_hreflang = hreflangs.rendered.values.length > 0;
}
if (hreflangs.http_header && hreflangs.http_header.values) {
result.has_http_hreflang = hreflangs.http_header.values.length > 0;
}
result.has_rendered_hreflang = false; // used in a NOT so must be set for a simple query to work
if (hreflangs.rendered && hreflangs.rendered.values) {
result.has_rendered_hreflang = hreflangs.rendered.values.length > 0;
}
result.has_raw_hreflang = false; // used in a NOT so must be set for a simple query to work
if (hreflangs.raw && hreflangs.raw.values) {
result.has_raw_hreflang = hreflangs.raw.values.length > 0;
}
}
var structured_data = wpt_bodies.structured_data;
if (structured_data) {
result.has_raw_jsonld_or_microdata = structured_data.raw && structured_data.raw.jsonld_and_microdata_types && structured_data.raw.jsonld_and_microdata_types.length > 0;
result.has_rendered_jsonld_or_microdata = structured_data.rendered && structured_data.rendered.jsonld_and_microdata_types && structured_data.rendered.jsonld_and_microdata_types.length > 0;
if (structured_data.raw && structured_data.rendered) {
result.rendering_changes_structured_data = JSON.stringify(structured_data.raw) !== JSON.stringify(structured_data.rendered);
}
}
} catch (e) {}
return result;
''';
SELECT
client,
COUNT(0) AS total,
# meta title inclusion
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.n_titles > 0), COUNT(0)) AS pct_has_title_tag,
# meta description inclusion
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.n_meta_descriptions > 0), COUNT(0)) AS pct_has_meta_description,
# H1 inclusion
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.n_h1 > 0), COUNT(0)) AS pct_has_h1,
# H2 inclusion
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.n_h2 > 0), COUNT(0)) AS pct_has_h2,
# H3 inclusion
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.n_h3 > 0), COUNT(0)) AS pct_has_h3,
# H4 inclusion
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.n_h4 > 0), COUNT(0)) AS pct_has_h4,
# Non-empty H1 inclusion
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.n_non_empty_h1 > 0), COUNT(0)) AS pct_has_non_empty_h1,
# Non-empty H2 inclusion
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.n_non_empty_h2 > 0), COUNT(0)) AS pct_has_non_empty_h2,
# Non-empty H3 inclusion
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.n_non_empty_h3 > 0), COUNT(0)) AS pct_has_non_empty_h3,
# Non-empty H4 inclusion
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.n_non_empty_h4 > 0), COUNT(0)) AS pct_has_non_empty_h4,
# Same title and H1
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_same_h1_title ), COUNT(0)) AS pct_has_same_h1_title,
# Meta Robots inclusion
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.robots_has_robots_meta_tag), COUNT(0)) AS pct_has_meta_robots,
# HTTP Header Robots inclusion
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.robots_has_x_robots_tag), COUNT(0)) AS pct_has_x_robots_tag,
# Meta Robots and x-robots inclusion
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.robots_has_robots_meta_tag AND wpt_bodies_info.robots_has_x_robots_tag), COUNT(0)) AS pct_has_meta_robots_and_x_robots_tag,
# Rendering changed Robots
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendering_changed_robots_meta_tag), COUNT(0)) AS pct_rendering_changed_robots_meta_tag,
# Pages with canonical
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_canonicals), COUNT(0)) AS pct_has_canonical,
# Pages with self-canonical
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_self_canonical), COUNT(0)) AS pct_has_self_canonical,
# Pages canonicalized
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.is_canonicalized), COUNT(0)) AS pct_is_canonicalized,
# Pages with canonical in HTTP header
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_http_canonical), COUNT(0)) AS pct_http_canonical,
# Pages with canonical in raw html
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_raw_canonical), COUNT(0)) AS pct_has_raw_canonical,
# Pages with canonical in rendered html
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_rendered_canonical), COUNT(0)) AS pct_has_rendered_canonical,
# Pages with canonical in rendered but not raw html
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_rendered_canonical AND NOT wpt_bodies_info.has_raw_canonical), COUNT(0)) AS pct_has_rendered_but_not_raw_canonical,
# Pages with canonical mismatch
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_canonical_mismatch), COUNT(0)) AS pct_has_canonical_mismatch,
# Pages with canonical conflict between raw and rendered
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendering_changed_canonical), COUNT(0)) AS pct_has_conflict_rendering_changed_canonical,
# Pages with canonical conflict between raw and http header
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.http_header_changed_canonical), COUNT(0)) AS pct_has_conflict_http_header_changed_canonical,
# Pages with canonical conflict between raw and http header
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.http_header_changed_canonical OR wpt_bodies_info.rendering_changed_canonical), COUNT(0)) AS pct_has_conflict_http_header_or_rendering_changed_canonical,
# Pages with hreflang conflict between raw and rendered
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendering_changed_hreflang), COUNT(0)) AS pct_has_conflict_raw_rendered_hreflang,
# Pages with hreflang
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_hreflang), COUNT(0)) AS pct_has_hreflang,
# Pages with http hreflang
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_http_hreflang), COUNT(0)) AS pct_has_http_hreflang,
# Pages with rendered hreflang
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_rendered_hreflang), COUNT(0)) AS pct_has_rendered_hreflang,
# Pages with raw hreflang
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_raw_hreflang), COUNT(0)) AS pct_has_raw_hreflang,
# Pages with hreflang in rendered but not raw html
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_rendered_hreflang AND NOT wpt_bodies_info.has_raw_hreflang), COUNT(0)) AS pct_has_rendered_but_not_raw_hreflang,
# Pages with raw jsonld or microdata
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_raw_jsonld_or_microdata), COUNT(0)) AS pct_has_raw_jsonld_or_microdata,
# Pages with rendered jsonld or microdata
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_rendered_jsonld_or_microdata), COUNT(0)) AS pct_has_rendered_jsonld_or_microdata,
# Pages with only rendered jsonld or microdata
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.has_rendered_jsonld_or_microdata AND NOT wpt_bodies_info.has_raw_jsonld_or_microdata), COUNT(0)) AS pct_has_only_rendered_jsonld_or_microdata,
# Pages where rendering changed jsonld or microdata
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendering_changes_structured_data), COUNT(0)) AS pct_rendering_changes_structured_data,
# http or https
SAFE_DIVIDE(COUNTIF(protocol = 'https'), COUNT(0)) AS pct_https,
# meta robots
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_otherbot_status_index), COUNT(0)) AS pct_rendered_otherbot_status_index,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_otherbot_status_follow), COUNT(0)) AS pct_rendered_otherbot_status_follow,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_otherbot_noarchive), COUNT(0)) AS pct_rendered_otherbot_noarchive,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_otherbot_nosnippet), COUNT(0)) AS pct_rendered_otherbot_nosnippet,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_otherbot_unavailable_after), COUNT(0)) AS pct_rendered_otherbot_unavailable_after,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_otherbot_max_snippet), COUNT(0)) AS pct_rendered_otherbot_max_snippet,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_otherbot_max_image_preview), COUNT(0)) AS pct_rendered_otherbot_max_image_preview,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_otherbot_max_video_preview), COUNT(0)) AS pct_rendered_otherbot_max_video_preview,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_otherbot_notranslate), COUNT(0)) AS pct_rendered_otherbot_notranslate,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_otherbot_noimageindex), COUNT(0)) AS pct_rendered_otherbot_noimageindex,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_otherbot_nocache), COUNT(0)) AS pct_rendered_otherbot_nocache,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_status_index), COUNT(0)) AS pct_rendered_googlebot_status_index,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_status_follow), COUNT(0)) AS pct_rendered_googlebot_status_follow,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_noarchive), COUNT(0)) AS pct_rendered_googlebot_noarchive,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_nosnippet), COUNT(0)) AS pct_rendered_googlebot_nosnippet,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_unavailable_after), COUNT(0)) AS pct_rendered_googlebot_unavailable_after,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_max_snippet), COUNT(0)) AS pct_rendered_googlebot_max_snippet,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_max_image_preview), COUNT(0)) AS pct_rendered_googlebot_max_image_preview,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_max_video_preview), COUNT(0)) AS pct_rendered_googlebot_max_video_preview,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_notranslate), COUNT(0)) AS pct_rendered_googlebot_notranslate,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_noimageindex), COUNT(0)) AS pct_rendered_googlebot_noimageindex,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_nocache), COUNT(0)) AS pct_rendered_googlebot_nocache,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_news_status_index), COUNT(0)) AS pct_rendered_googlebot_news_status_index,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_news_status_follow), COUNT(0)) AS pct_rendered_googlebot_news_status_follow,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_news_noarchive), COUNT(0)) AS pct_rendered_googlebot_news_noarchive,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_news_nosnippet), COUNT(0)) AS pct_rendered_googlebot_news_nosnippet,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_news_unavailable_after), COUNT(0)) AS pct_rendered_googlebot_news_unavailable_after,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_news_max_snippet), COUNT(0)) AS pct_rendered_googlebot_news_max_snippet,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_news_max_image_preview), COUNT(0)) AS pct_rendered_googlebot_news_max_image_preview,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_news_max_video_preview), COUNT(0)) AS pct_rendered_googlebot_news_max_video_preview,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_news_notranslate), COUNT(0)) AS pct_rendered_googlebot_news_notranslate,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_news_noimageindex), COUNT(0)) AS pct_rendered_googlebot_news_noimageindex,
SAFE_DIVIDE(COUNTIF(wpt_bodies_info.rendered_googlebot_news_nocache), COUNT(0)) AS pct_rendered_googlebot_news_nocache
FROM (
SELECT
_TABLE_SUFFIX AS client,
SPLIT(url, ':')[OFFSET(0)] AS protocol,
getSeoStatsWptBodies(JSON_EXTRACT_SCALAR(payload, '$._wpt_bodies')) AS wpt_bodies_info
FROM
`httparchive.pages.2021_07_01_*`
)
GROUP BY
client
|
ALTER TABLE IACUC_PROTOCOL_PERSONS ADD PROCEDURE_QUALIF_DESCRIPTION VARCHAR2(2000)
/
|
SELECT TOP 5
e.EmployeeID,
e.JobTitle,
e.AddressID,
a.AddressText
FROM Employees e
JOIN Addresses a ON e.AddressID = a.AddressID
ORDER BY e.AddressID ASC
|
-- -----------------------------------------------------
-- Table ecommerce.commandes
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS ecommerce.commandes (
num_commande INT UNSIGNED NOT NULL AUTO_INCREMENT,
date_commande DATE NOT NULL,
date_expedition DATE ,
date_livraison DATE ,
id_client INT UNSIGNED NOT NULL,
id_mode_livraison TINYINT UNSIGNED NOT NULL,
id_coupon MEDIUMINT UNSIGNED NOT NULL,
id_adresse INT UNSIGNED NOT NULL,
id_statut TINYINT UNSIGNED NOT NULL,
PRIMARY KEY (num_commande),
INDEX fk_commandes_clients_idx (id_client ASC),
UNIQUE INDEX id_client_UNIQUE (id_client ASC),
INDEX fk_commandes_mode_livraison1_idx (id_mode_livraison ASC),
INDEX fk_commandes_coupons1_idx (id_coupon ASC),
INDEX fk_commandes_adresses1_idx (id_adresse ASC),
UNIQUE INDEX id_mode_livraison_UNIQUE (id_mode_livraison ASC),
UNIQUE INDEX coupons_idCoupon_UNIQUE (id_coupon ASC),
UNIQUE INDEX adresses_id_adresses_UNIQUE (id_adresse ASC),
INDEX fk_commandes_statut_de_commande1_idx (id_statut ASC),
UNIQUE INDEX id_statut_UNIQUE (id_statut ASC),
CONSTRAINT fk_commandes_clients
FOREIGN KEY (id_client)
REFERENCES ecommerce.clients (id_client)
ON DELETE NO ACTION
ON UPDATE NO ACTION,
CONSTRAINT fk_commandes_mode_livraison1
FOREIGN KEY (id_mode_livraison)
REFERENCES ecommerce.modes_livraison (id_mode_livraison)
ON DELETE NO ACTION
ON UPDATE NO ACTION,
CONSTRAINT fk_commandes_coupons1
FOREIGN KEY (id_coupon)
REFERENCES ecommerce.Coupons (id_coupon)
ON DELETE NO ACTION
ON UPDATE NO ACTION,
CONSTRAINT fk_commandes_adresses1
FOREIGN KEY (id_adresse)
REFERENCES ecommerce.adresses (id_adresse)
ON DELETE NO ACTION
ON UPDATE NO ACTION,
CONSTRAINT fk_commandes_statut_de_commande1
FOREIGN KEY (id_statut)
REFERENCES ecommerce.statuts_de_commande (id_statut)
ON DELETE NO ACTION
ON UPDATE NO ACTION)
ENGINE = InnoDB;
|
§Japanese
PROP_FONT_FILE
m+10r.bdf
################################################################################
# DO NOT EDIT THIS FILE. #
# USE https://translator.simutrans.com FOR YOUR CHANGES #
# AND DOWNLOAD THIS FILE AGAIN WITH YOUR SUGGESTIONS #
################################################################################
# #
# Simutrans Scenario Specific Translation File #
# Scenario: Simutrans-Extended #
# Language: ja Japanese #
# Encoding: UTF-8 #
# Font: m+10r.bdf #
# Date Created: 8.02 2019 #
# #
################################################################################
#_____________________________Simutrans Base Texts______________________________
#_____________________________Simutrans Base Texts______________________________
#__________________________________button_text__________________________________
#__________________________________button_text__________________________________
cl_btn_filter_disable
無効
cl_btn_filter_enable
有効
cl_btn_filter_settings
設定
cl_btn_sort_asc
昇順
cl_btn_sort_desc
降順
cl_btn_sort_id
番号
cl_btn_sort_income
収益
cl_btn_sort_name
名前
cl_btn_sort_type
タイプ
cl_btn_sort_loading_lvl
積載率
cl_btn_sort_max_speed
最高速度
cl_btn_sort_value
取得原価
cl_btn_sort_age
平均車齢
cl_btn_sort_schedule
次の停車駅
cl_btn_sort_power
出力
cl_btn_sort_range
航続距離
clf_btn_alle
全選択
clf_btn_invers
反転
clf_btn_keine
全解除
gl_btn_sort_bonus
ボーナス順
gl_btn_sort_name
名前順
gl_btn_sort_revenue
収入順
gl_btn_unsort
ソート無し
hl_btn_filter_disable
無効
hl_btn_filter_enable
有効
hl_btn_filter_settings
設定
hl_btn_sort_asc
昇順
hl_btn_sort_desc
降順
hl_btn_sort_name
名前順
hl_btn_sort_type
タイプ
hl_btn_sort_waiting
待機
hlf_btn_alle
全選択
hlf_btn_invers
反転
hlf_btn_keine
全解除
lake
湖を作成する
Lake
湖
Maximize height levels
高さを最大化する
Networks
路線図
Queueing
待機の増減
Road toll
通行料
Scenario
シナリオ
Start this as a server
このゲームをサーバーとして開始します。
Transfers
乗降数
#_________________________________climates_text_________________________________
#_________________________________climates_text_________________________________
arctic
極気候
desert
砂漠気候
mediterran
地中海性気候
rocky
氷雪気候
temperate
温暖気候
tropic
熱帯気候
tundra
ツンドラ気候
#__________________________________error_text___________________________________
#__________________________________error_text___________________________________
Loading scenario script failed
シナリオスクリプトのロードに失敗しました
Autohalt muss auf\nStrasse liegen!\n
自動車は道路上にのみ\n停車することができます。\n
Bridge blocked by way below or above.
建設予定地の上または下に別の軌道があるため橋梁を建設できません
Bridge is too long for this type!\n
この型の橋梁で架橋できる長さをこえています
Bruecke muss an\neinfachem\nHang beginnen!\n
橋梁は直線の坂に建ててください。\n
Can't buy obsolete vehicles!
旧型の乗り物は購入できません。
Cannot alter water
この窪地にはこれ以上、水を満たすことも排出することもできません。
Cannot build on a double slope!
この型の橋梁は緩やかな坂か平らな地面の上からのみ建設できます
Cannot built depot here!
ここに車庫を建てることはできません。
Cannot built this station/building\nin underground mode here.
駅ビル/駅舎は、\n地下には建設できません。
Cannot create generic line!\nSelect line type by\nusing filter tabs.
汎用の路線を作成することはできません。\nタブで路線のタイプを選んでください。
Cannot create socket
ソケットエラー:\n接続を確立できません。\nCannot create socket
Cannot rotate this building!
この建物の方向は変えられません。
Client closed connection during transfer
クライアントの接続が切断されました。
Convoi handles exhausted!
最大編成数(65535)に達しました。\nこれ以上追加できません。
Convoy already deleted!
編成は既に削除されています。
Could not open file
ファイルを開けません
Das Feld gehoert\neinem anderen Spieler\n
この場所は他のプレイヤーによって\nすでに占拠されています。\n
Der Besitzer erlaubt das Entfernen nicht
撤去できません。\nここは他社の所有地です。\n
Der Tunnel ist nicht frei!\n
トンネル内が空ではないか、\n他社の所有物です。\n
Die Bruecke ist nicht frei!\n
橋梁上が空ではないか、\n他社の所有物です。\n
Diese Zusammenstellung kann nicht fahren!\n
編成の構成エラー：\n構成が不完全か出力が不足しています。
Flugzeughalt muss auf\nRunway liegen!\n
飛行機は滑走路上にのみ\n降りることができます！
Hier kann dieses\nFlughafengebaeude nicht\ngebaut werden!\n
ここに格納庫を建てることはできません。
Hier kann kein\nSignal aufge-\nstellt werden!\n
ここに信号機を設置することはできません。\n
Home depot not found!\nYou need to send the\nconvoi to the depot\nmanually.
帰るべき車庫が確認できません。\n手動で入庫先を指定してください。
In order to lock the game, you have to protect the public player by password!
ゲームを保護するため、\n公共事業にパスワードを\nかけて下さい。
Kann Spielstand\nnicht laden.\n
ゲームを読み込むことができません。\n
Kann Spielstand\nnicht speichern.\n
ゲームを保存できません。\n
Loading a new game will end the current server session!
新しいゲームを読み込むと、現在接続されているオンラインのゲームセッションから切断されます！
Lost connection\nto server!
サーバーへの接続が\n切断されました
Lost synchronisation\nwith server.
サーバーとの同期が\n失われました
Maglevhalt muss auf\nMaglevschiene liegen!\n
リニアはリニア軌道上にのみ\n停車することができます
Monorailhalt muss auf\nMonorail liegen!\n
モノレールはモノレール軌道上にのみ\n停車することができます
Monorails are not available yet!
モノレールはまだ開発されていません！
More than one possibility to build this dock found.
この港を建設可能な候補が複数あります。
Narrowgaugehalt muss auf\nNarrowgauge liegen!\n
ナローゲージ用の駅は\nナローゲージ上にのみ\n設置できます。
No bridges over runways!
滑走路をまたぐ橋梁は建設できません
No suitable way on the ground!
設置に適当な場所ではありません。
No through station here!
ここに駅/停車場を建てることは\nできません！
Noch kein Fahrzeug\nmit Fahrplan\nvorhanden\n
乗り物をスタートさせる前に\nスケジュールを設定してください。\n
Not allowed!\nThe convoi's schedule can\nnot be changed currently.\nTry again later!
現在、この編成のスケジュールは\n変更できません。少し待ってから\n再度試してください。
Not enough bytes transferred
データ転送に失敗しました。
Not enough clearance.
上下に間隔を空ける必要があります。
Not enough money!
資金が不足しています。
On narrowgauge track only!\n
ナローゲージ上にのみ\n停車することができます
Only public player can lock games!
公共事業だけが「プレイヤー変更の禁止」とその解除ができます。\nまたロック解除には公共事業のパスワードが必要です。
Out of funds
資金がありません
Post muss neben\nHaltestelle\nliegen!\n
郵便局や駅舎は、駅や停車場の\n付近に建設してください。\n
Protocoll error (expecting game)
プロトコルエラー\nProtocoll error (expecting game)
Schiffhalt muss im\nWasser liegen!\n
船舶は港の周辺にのみ\n停泊することができます。\n
Server busy
サーバー使用中\nServer busy
Server version too new
サーバーで使用されているものより古いバージョンのプログラムです
Show all revenue messages
全てのプレイヤーの収益を表示
Show no revenue messages
全てのプレイヤーの収益を非表示
Show only player's revenue
現在のプレイヤーの収益のみ表示
Terraforming not possible\nhere in underground view
スロープツールは、\n地下では使用できません。
This tunnel branches. You can try Control+Click to remove.
このトンネルは枝分かれしています。Control+クリックで削除できます。
Upgrade must have\na higher level
この駅にはアップグレードできません\n\nよりレベルの高い駅を選択するか、\n一度撤去してから、置き換えてください
Vehicle %s cannot choose because stop too short!
車両 %sの停車できるホームが見つかりません。ホームが短すぎます。
Zughalt muss auf\nSchiene liegen!\n
列車は線路上にのみ\n停車することができます。\n
#___________________________________help_text___________________________________
#___________________________________help_text___________________________________
<h1>Index</h1><p>*: only english</p><p>General</p>%s<p>Usage</p>%s<p>Tools</p>%s<p>Start</p>%s<p>How to play</p>%s<p>Others:</p>%s
<h1>Extended版ヘルプメニュー</h1><p> *: 未訳（英文で表示）</p>%1$s<p>■ 操作関連</p>%2$s<p>■ ゲームの開始</p>%4$s<p>■ 基本ツール</p>%3$s<p>■ 遊び方</p>%5$s<p>■ 設定・その他</p>%6$s
<title>Keyboard Help</title>\n<h1><strong>Keyboard Help</strong></h1><p>\n
<title>キーボード ヘルプ</title><h1>キーボード ヘルプ</h1><p>キー割り当ての一覧表です。何も操作が割り当てられていないキーを押すと、<br>このキーボードヘルプウィンドウが開きます。</p><p>アルファベットの大文字と小文字は区別されます。大文字の場合は、<br>shiftキーを押しながらキーを押します。日本語入力は解除してください。</p><p><i>ウィンドウ操作</i><br>Backspace - すべてのウィンドウ/ツールバーを閉じます<br>Delete, ESC - アクティブなウィンドウ/ツールバーを閉じます<br>F1 - ヘルプウィンドウを開きます</p><p><i>ゲーム画面のスクロール</i> （数字キー、矢印キー）<br>1,2,3,4,6,7,8,9 - ゲーム画面をスクロールします<br>↑,↓,→,← - ゲーム画面をスクロールします</p><p><i>ゲーム画面のズーム</i><br>＞,PageUp - ゲーム画面をズームインします<br>＜,PageDown - ゲーム画面をズームアウトします</p><p><i>[Ctrl]+道路/線路/トンネルツール</i><br>直線の道路/線路を敷設できます。<br>既存の道路/線路を、低速な道路/線路で置き換えます。<br>トンネルの入り口のみを建設します。</p><p><i>[Ctrl]+V</i><br>クリップボードからテキストを貼り付けます。(Windowsのみ)</p><p>以下の操作キーは「(pakフォルダ)/config/menuconf.tab」ファイル<br>で定義されています。このファイルを編集して、操作キーの割り当てを変更<br>したり、別のツールに、新たに操作キーを割り当てることができます。</p><p><i>現在の操作キー一覧</i><br></p>
Color according to transport capacity left
色は受け入れ可能な輸送能力の残量を表します。
Decrease water height
水位を下げる
Highlight railroad tracks
線路をハイライトする
Highlite depots
倉庫をハイライトする
Highlite electrical transmission lines
送電線をハイライトする
Highlite factories
産業をハイライトする
Highlite forests
森をハイライトする
Highlite tourist attraction
名所をハイライトする
Increase water height
海面水位を1上げる
Open station/stop details
駅の詳細を表示
Overlay city limits
市域を表示します
Overlay passenger destinations when a town window is open
都市ウィンドウが開いている場合、旅客の目的地を表示します
Overlay schedules/network
スケジュール/ネットワークを表示します
Overlay town names
都市名を表示します
Please click on the map to add\nwaypoints or stops to this\nschedule.
マップをクリックして、中継点または\n駅をスケジュールに追加してください。
Set tile climate
地面タイルの気候を%sに変更します。
Show capacity and if halt is overcrowded
各駅/停留所の待合室定員の大きさと混雑度を表示
Show how many convoi reach a station
駅に到着した車両の数を表示
Show how many people/much is waiting at halts
待機量を表示
Show initial passenger departure
旅客および郵便の発生源を表示
Show level of city buildings
市内建築物の旅客度/郵便度を表示
Show speedlimit of ways
軌道/道路の制限速度を表示
Show the change of waiting at halts
先月と比べた待機数の増減を表示
Show the owenership of infrastructure
軌道/道路の所有者を表示
Show transported freight/freight network
輸送された貨物経路の表示
Show usage of network
線路/道路の交通量を表示
Shows a listing with all industries on the map.
マップ上に存在する全ての産業のリスト
Sum of departure/arrivals at halts
到着・出発した乗り物の数を表示
#____________________________________ki_text____________________________________
#____________________________________ki_text____________________________________
%s now\noffers bus services\nbetween %s\nand attraction\n%s\nat (%i,%i).\n
%s社は\n現在、バスの便を\n%s町から名所旧跡\n「%s」(%i,%i)に\n提供しています。\n
%s now\noffers bus services\nbetween %s\nand factory\n%s\nat (%i,%i).\n
%s社は\n現在、バスの便を\n%s町と工場\n「%s」(%i,%i)\nの間に提供しています。\n
%s\nnow operates\n%i trucks between\n%s at (%i,%i)\nand %s at (%i,%i).
%sは\n現在、%i台のトラックで\n%s(%i,%i)と\n%s(%i,%i)の間を\n運行しています。
%s\nopened a new railway\nbetween %s\nat (%i,%i) and\n%s at (%i,%i).
%sは\n%s(%i,%i)と\n%s(%i,%i)の間で\n新たな鉄道を開通しました。
Airline service by\n%s\nnow between\n%s \nand %s.\n
%s社は\n現在、航空便を\n%s町と\n%s町\nとの間に提供しています。\n
Ferry service by\n%s\nnow between\n%s \nand %s.\n
%s社は\n現在、船便を\n%s町と\n%s町\nとの間に提供しています。\n
Travellers now\nuse %s's\nbusses between\n%s \nand %s.\n
旅行者は現在、\n%s社が運行している\n%s町と\n%s町を結ぶ\nバスを利用しています。
#___________________________________menu_text___________________________________
#___________________________________menu_text___________________________________
EDITTOOLS
マップ編集ツール
LISTTOOLS
一覧表
MAGLEVTOOLS
リニアツール
MONORAILTOOLS
モノレール/リニアツール
NARROWGAUGETOOLS
ナローツール
RAILTOOLS
鉄道ツール
ROADTOOLS
道路ツール
SHIPTOOLS
船舶ツール
SLOPETOOLS
スロープツール
SPECIALTOOLS
特別建築物
TRAMTOOLS
市電/軽便鉄道ツール
#_________________________________message_text__________________________________
#_________________________________message_text__________________________________
%s s\nheadquarter now\nat (%i,%i).
%s社は\n(%i,%i)に\n本社を建設しました。
%s wasted\nyour money with a\nnew townhall\nwhen it reached\n%i inhabitants.
%s町は\n住民が%i人に達したので、\n新しい役場を建てました。
%s wasted\nyour money with a\nnew townhall\nwhen it reached\n%i inhabitants.
%s町は\n住民が%i人に達したので、\n新しい役場を建てました。
Bankrott:\n\nDu bist bankrott.\n
破産:\n\n破産しました。\n
Congratulation\nScenario was complete in\n%i months %i years.
★☆★ Congratulation! ★☆★\nシナリオクリアおめでとうございます\n\n 所要時間: %iヶ月 %i年
Factory chain extended\nfor %s near\n%s built with\n%i factories.
「%s」は\n事業を拡大し、新たに\n%s近郊に\n%iの産業施設を建てました。
Make way or stop public (will join with neighbours) % times maintainace
駅または道路・軌道等を公共化して隣接する公共駅と統合します。維持費の%倍がかかります。
Net wealth less than 10% of starting capital!
総資産が開始時の総資産の10%未満になりました
New %s now available:\n%s\n
新型%s\n「%s」が\n新たに使用可能になりました。
New factory chain\nfor %s near\n%s built with\n%i factories.
新しい産業チェーン\n「%s」は\n%s近郊に\n%iの産業施設を建てました。
New vehicle now available:\n%s\n
「%s」が\n新たに使用可能になりました。
Now %u clients connected.
現在、 %u 名のプレーヤーが接続しています。
On this map, you are not\nallowed to change player!\n
このマップではプレイヤーの交代は認められ\nていません。
Production of %s has been stopped:\n%s\n
%s\n「%s」が\n製造中止になりました。
Remove vehicle from map. Use with care!
! 注意 ! この乗り物を撤去します ! 注意 !
Screenshot\ngespeichert.\n
スクリーンショットを\n保存しました。\n
Sends the convoi to the last depot it departed from!
この編成を一番近い車庫に向かわせます。
Server preparing game ...
サーバーがゲームの準備をしています...
Spielstand wurde\ngeladen!\n
\nゲームをロードしました。\n
Spielstand wurde\ngespeichert!\n
\nゲームをセーブしました。\n
Verschuldet:\n\nDu hast %d Monate Zeit,\ndie Schulden zurueckzuzahlen.\n
現在借金があります。\n\nあと %d ヵ月以内に\n借金を返済してください。\n
With a big festival\n%s built\na new monument.\n%i citicens rejoiced.
%sに\n新しい記念碑が建立され、\n歓喜に沸く%i人の住民が\n見守る中、盛大な除幕式が\n行われました。
#_________________________________program_text__________________________________
#_________________________________program_text__________________________________
(%i)-
(%i)
(in depot)
(入庫中)
\nBauzeit bis
～
\nBauzeit von
\n登場する年:
\nCan't open heightfield file.\n
\nマップファイルを\n読み込むことが出来ません。\n
\ndirection:
\n接続方向：
\nelektrified
\n電化
\nHeightfield has wrong image type.\n
\nマップファイルの\nイメージ形式が不正です。\n
is reserved by:
優先列車：
\nminimum speed:
\n最低速度：
\nnot elektrified
\n非電化
\nRibi (masked)
\n制限付き接続方向：
\nRibi (unmasked)
\n接続方向 ：
\nSet phases:
\n南北（秒間） 東西（秒間）
\nsingle way
\n一方通行
\nway1 reserved by
\n横断中車両：
\nway2 reserved by
\n通過中車両：
\nwith sign/signal\n
\n信号/標識あり\n
%d buildings\n
市街地 %d ブロック
%d convois
%d 編成
%d Einzelfahrzeuge im Depot
%d台/両が留置されています。
%i car(s),
%i車、
%i km/h (max. %ikm/h)
%i km/h (最高速度 %ikm/h)
%i years %i months old.
樹齢 %i 年と %i ヶ月です。
%s at (%i,%i) now public stop.
%s は公共の停車場となりました。
%s building %s %s
%s %s前 %s
%s city %d %s
%s第%d%s
%s factory %s %s
%s %s前 %s
%s has entered a depot.
%s\nは車庫に着きました。\n
%s land %d %s
%s郊外第%d%s
%s\nis crowded.
%sが\n混雑しています。\n
%s\nspeed %i\nmax_speed %i\ndx:%i dy:%i
%1$s\n\n\n最高速度 %3$i km/h\n\n走行速度 %2$i km/h.\n\n
%s\nwas liquidated.
%s社は\n破産しました。\n資産はすべて清算されました。
%u Client(s)\n
%u 名のクライアント\n
%u Player (%u locked)\n
%u のプレーヤー (%u はロック済み)\n
<clear schedule>
スケジュールクリア
<create new line>
<新しい路線を作成>
<em>%C</em> - %s<br>\n
%C - %s<br>\n
<h1>Error</h1><p><strong>
<h1>注意: pakフォルダ内に以下のオブジェクトの重複があります。</h1><p><strong>
<h1>Warning</h1><p><strong>addons for
<h1>注意: アドオンフォルダ内に以下のオブジェクトの重複があります。</h1><p><strong>
<individual schedule>
<個別のスケジュール>
<no line>
<路線指定なし>
<no schedule set>
<スケジュールなし>
<promote to line>
<路線に登録>
1 convoi
1編成
1 Einzelfahrzeug im Depot
1台/両が留置されています。
1LIGHT_CHOOSE
明るさ:
1WORLD_CHOOSE
新しいマップの設定：
2LIGHT_CHOOSE
カラー:
2WORLD_CHOOSE
マップ番号：
3LIGHT_CHOOSE
スクロールの速さ:
4LIGHT_CHOOSE
スクロールの反転
5LIGHT_CHOOSE
乗降客を表示する
5WORLD_CHOOSE
町の数：
6LIGHT_CHOOSE
歩行者を表示する
6WORLD_CHOOSE
交通量：
8WORLD_CHOOSE
夜間は暗くする
A bridge must end on a way!
橋梁はまっすぐな道路/線路上に\n設置してください。
A bridge must start on a way!
橋梁はまっすぐな道路/線路上に\n設置してください。
Abfrage
調査ツール
Abnehmer
需要先
About
解説
About scenario
Copyright
Abriss
撤去/取り壊し
Absenken
陸地を低くする
Abspanntransformator
変圧所
Accelerate time
ゲームスピードを速くする
Account above %s
現金を %s以上に
Act. load: %u MW\n
送電量:%u MW\n
Active player only
自社のみ表示
Add forest
森を作成する
Add random citycar
自家用車を道路上に配置
add server
サーバーを追加
Add Stop
追加
Add stops for backward travel
折り返して戻るための停車駅を追加します
Air
航空
aircraft_tab
貨物機
airplane
航空機
Airport
空港
AIRTOOLS
航空機ツール
All
全て
always show all
全て
Allow city growth
街を発展させる
Allow player change
プレーヤーの変更を許可する
allowed climates:\n
気候条件:\n
Alters a schedule.
運行スケジュールの編集
Angenommene Waren
付近の産業で需要のある物資
anhaengen
追加
Anhaenger_tab
トレーラー
Anheben
陸地を高くする
Appends stops at the end of the schedule
スケジュールの最後に駅を追加
Apply Line
路線を適用
Apr.
4月
April
4月
Arrivals from\n
到着予想時間\n
Arrived
到着
Assets
資産
Aufloesen
編成解除
Aufspanntransformator
変圧所
Aug.
8月
August
8月
Available
供給率
Bahndepot
機関庫
battery
蓄電池
Baum
木
baum builder
植樹ツール
Baustelle
建設場所
Bauzeit
建設時期 人口数
Beenden
ゲーム終了
Beginner mode
初心者モード
Besonderes Gebaeude
特殊建築物
BF
駅
bio
生物
Blockstrecke ist\nbelegt\n
閉塞区間に他の列車があります。\n
Boden
地表
Bonusspeed: %i km/h
可能な最大速度：%i km/h
Boost (%)
増産率 (%)
bridge is too high for its type!
この型の橋梁で架橋できる\n橋脚の高さ制限を超えています。
Bruecke
橋
Brueckenboden
橋上
Build air depot
格納庫の建設
build choosesignals
入線振分信号の建設
Build city market
最寄りの都市に産業網を誘致
Build drain
変圧所を作る
build HQ
本社を建設する
Build land consumer
発電所を作る
Build maglev depot
リニア車庫の建設
Build monorail depot
モノレール基地の建設
Build narrowgauge depot
ナローゲージ車庫の建設
Build powerline
高圧線を作る
Build presignals
プレシグナルの建設
Build road depot
車庫の建設
Build ship depot
造船所の建設
Build signals
信号の建設
Build train depot
機関庫の建設
Build tram depot
市電車庫の建設
Build truck depot
車庫の建設
Building costs estimates
建設費
Buildings
市街地
Built artifical slopes
スロープの建設
Built random attraction
観光地の整備（ランダム）
Bus_tab
バス
Can only move from halt to halt or waypoint to waypoint.
スケジュールの移動は、駅と駅または\n中継点と中継点の間でのみ可能です。\n駅から駅以外の場所（その逆も）\nへは移動できません。
Cancel
キャンセル
Cannot connect to offline server!
オフラインのサーバーには接続出来ません。
Capacity
定員
Capacity:
定員/積載量:
Capacity: %.0f MW
最大送電量:%.0f MW
Capacity: %d%s %s\n
定員/積載量: %3d%s %s\n
Capacity: %s\nLoad: %d (%d%%)
定員/積載: %s\n積載: %d (%d%%)
Cars are not available yet!
自動車は・・・\nいえ、馬すら見あたりません・・・
cars.\nstate
\n状態 :
Cash
現金
Change player
プレイヤー変更
Chart
グラフ
Chat_msg
チャット
Choose direction
向きを選択してください
Choose operation executed on clicking stored/new vehicles
クリックした乗り物に適用される操作を選んでください
chooses a random map
マップ番号を無作為に選びます
citicens
住民
City attraction
都市内施設
City industries
産業チェーンの数
City list
町一覧
City size
街の規模
city_road
市道
citybuilding builder
市内建築物建設ツール
CityLimit
市域
cl_title
乗り物一覧
Clear block reservation
線路占有解除ツール
clf_chk_aircrafts
航空機
clf_chk_cars
自動車
clf_chk_indepot
入庫中
clf_chk_maglev
リニア
clf_chk_monorail
モノレール
clf_chk_name_filter
名前フィルター:
clf_chk_narrowgauge
ナローゲージ
clf_chk_noincome
収入なし
clf_chk_noline
路線なし
clf_chk_noroute
ルートなし
clf_chk_noschedule
スケジュールなし
clf_chk_obsolete
旧型
clf_chk_ships
船舶
clf_chk_spezial_filter
特殊フィルター:
clf_chk_stucked
停滞中
clf_chk_trains
列車
clf_chk_trams
市電
clf_chk_type_filter
タイプフィルター:
clf_chk_waren
旅客/貨物フィルター:
clf_title
乗り物の一覧フィルター
Climate Control
気候の設定
closed
遮断
COLOR_CHOOSE\n
カラーを選んで下さい。\n
Company bankrupt
破産しました
Company_msg
ライバル企業
Comparing pak files ...
pakを比較しています ...
Configure AI
AI指針設定
Configure AI setttings
AI指針設定を編集します
Connect factory
産業チェーンを繋ぐ
Connected stops
接続駅:
Connected with server
サーバーと接続しました。
Constructed by
作者：
Constructed by %s
作者: %s
construction speed
増線頻度
Construction_Btn
建設費
Consumed
消費量
contains the following doubled objects:</strong><p>
以下のオブジェクトが重複しています:</strong><p/>
convoi %d of %d
入庫中の編成 %d / %d
only error convoys
問題のある車両のみ
Convoi has been sent\nto the nearest depot\nof appropriate type.\n
この編成は一番近い車庫に\n向かいました。\n
Convoi is sold when all wagons are empty.
この編成を回送し、空車時に売却します。
convoi mouseover tooltips
マウスオーバーで車両の状態を表示
convoi passed last month:
前月交通量:
Convois
編成数
Convois: %d\nProfit: %s
就役編成: %d\n利益: %s
Convoys
編成
Copy Convoi
編成をコピー
Copy the selected convoi and its schedule or line
選択した編成とそのスケジュール/路線を複製します
Cost
輸送費
cost for removal
撤去費用:
Cost per unit
単位あたりの輸送費
Cost: %8s (%.2f$/km %.f$/m)\n
費用: %s (%.2f㎞ %.2f月)\n
Cost: %8s (%.2f$/km)\n
費用: %8s (%.2f$/km)\n
Costs
費用
Create a new line based on this schedule
このスケジュールを元に新しい路線を作ります
curiosity builder
ランドマーク建設ツール
curlist_title
名所旧跡一覧
Currently playing:
演奏中の曲：
Customers live in:
顧客居住地:
DAY_SYMBOL
日
db_convoy_to
次の停車駅
db_convoy_from
前の停車駅
deactivated in online mode
ネットゲームでは使用できません
Dec.
12月
Deccelerate time
ゲームスピードを遅くする
December
12月
decrease underground view level
ハイトカットレベルを下げる
Default.sve
デフォルト
Del Stop
削除
Delete Line
路線削除
Delete the current stop
削除する駅名をクリックして削除
Delete the selected line (if without associated convois).
削除する路線をクリックして削除
Delete this file.
ファイルの削除
Delivered
出荷量
Demand
需要量
Demand: %.0f MW
需要電力: %.0f MW\n
Denkmal
モニュメント
Departed
出発
Departure board
発着時刻
Departures to\n
出発予想時間\n
Depots
車庫
Destination
目的地
Destroying map ...
現在のマップを終了しています ...
Details
詳細
diesel
ディーゼル
directmail
広告郵便
Direkt erreichbare Haltestellen
ここから運行されている 駅・停留所・港
disable midi
ミュート
Distance
走行距離
distributing cities
都市を配置中
distributing factories
産業を配置中
Dock
港
Dock must be built on single slope!
港は斜面沿いに造ってください！
Du hast %d Monate Zeit, deine Schulden zurueckzuzahlen
あと %d ヵ月以内に\n借金を返済してください。
Durchsatz
最高生産
Economy
経済
Eigenbesitz\n
公共物\n
Ein %s\npasst hier nicht.\n
'%s' を\nここに建てることはできません。\n
Einstellungen
設定
Einstellungen aendern
設定を選ぶ
electric
電気
Electricity
電力
Electricity producer\n\n
電力供給施設\n\n
Electrics_tab
電車
Electrify track
線路の電化
enlarge map
マップの拡張
enter a value between %i and %i
%i～%i
Enter address
(IPアドレス/ホスト名を入力)
Enter Password
プレーヤー名とパスワードを変更します。
Error
エラー
Erzeuge neue Karte.\n
新しいマップを\n作成しています。\nお待ちください。\n\n(大きいマップでは\n数分掛かる\nことがあります)\n
Es wird bereits\nein Fahrplan\neingegeben\n
すでにスケジュール\nダイアログが開いています。\nまず、すでにあるダイアログを\n閉じてください。\n
Fabrikanschluss
接続されている産業
Fabrikname
産業名
Factories
産業
factory details
産業の需要先/供給元
factorybuilder
産業施設建設ツール
Fahrplan
スケジュール
Fahrtziel
次の停車駅:
Fahrzeuge koennen so nicht entfernt werden
乗り物をブルドーザーツール\nで撤去することはできません。\n
Fahrzeuge:
乗り物:
Farbe
プレーヤーの色
Fast forward
早送り
Feb.
2月
February
2月
Ferry_tab
フェリー
Fertig
終了
Filename
ファイル名:
Files from:
ファイル名:
Filter:
フィルター:
Finances of %s
%s の財務
Finanzen
財務
find mismatch
パックファイルを比較
fl_title
産業一覧
Flug_tab
旅客機
follow me
追跡
Follow the convoi on the map.
この編成を追ってマップを移動します
font size
フォントサイズ
Forest
森
Found new city
新しい街を作る
FPS:
FPS：
Fracht
貨物
Frame time:
フレーム：
Free Capacity
空席/空荷
freeplay mode
フリープレイ モード
Friction:
摩擦
fuel_cell
燃料電池
Full load
積むまで待機(％):
Fundament
土地
Fussgaenger
歩行者
Game info
ゲームの情報
GAME PAUSED
一時停止
Game_msg
ゲーム
Gear:
ギア比:
Gebaeude
建築物
General
全般
Generated
発生
Generation: %.0f MW
発電量: %.0f MW\n
Gewicht
重量
Gewinn
収益
Give the selected vehicle(s) an individual schedule
選択している編成に個別の移動計画を設定します
gl_btn_sort_catg
カテゴリー順
gl_title
貨物一覧
gl_normal
基本情報
gl_prod
生産者
gl_con
消費者
go home
車庫へ
Goods
製品
Goods AI
AI 貨物
Goods list
貨物一覧
Goods needed
貨物需要
Gross Profit
粗利益
Groundobj
景観物
Grow city
都市の人口を増やす
Growth
発展
H
停
Hangar
格納庫
Happy
旅行成功
Haus kaufen
市内建築物を購入
Headquarter and %li trains
本社建設と鉄道 %li編成を黒字化
Helligk.
表示設定
Helligk. u. Farben
表示設定
Help
ヘルプ
Help text not found
申し訳ありませんが、この項目のヘルプはまだありません
hide all building
全ての建物を隠す
hide city building
都市の建物を隠す
hide objects under cursor
カーソル周辺の樹木や建物を隠す
hide station names
駅名を隠す
hide transparent
隠す時はシルエットで表示する
hide trees
樹木を隠す
Hier warten/lagern:
待機中の旅客/貨物
Higher transport fees, crossconnect all factories
運賃収入が1.5倍に増え、ジャストインタイム生産が無効になります
Highlite schedule
路線の経由地をハイライトする
hl_title
駅一覧
hl_txt_filter
フィルター:
hl_txt_sort
並び替え:
hlf_chk_airport
空港
hlf_chk_anleger
港
hlf_chk_bahnhof
鉄道駅
hlf_chk_bushalt
バス停留所
hlf_chk_frachthof
トラックターミナル
hlf_chk_keine_verb
接続なし
hlf_chk_maglevstop
リニア駅
hlf_chk_monorailstop
モノレール駅
hlf_chk_name_filter
名前フィルター:
hlf_chk_narrowgaugestop
ナローゲージ駅
hlf_chk_overflow
混雑中
hlf_chk_spezial_filter
特殊フィルター:
hlf_chk_tramstop
市電駅
hlf_chk_type_filter
タイプフィルター:
hlf_chk_waren_abgabe
生産品:
hlf_chk_waren_annahme
製品需要:
hlf_title
駅一覧フィルター
Homeless
浮浪者
hydrogene
水素
Idle:
待機回数：
ignore climates
気候条件を無視する
ignore regions
地域条件を無視する
In the industry legend show only currently existing factories
現在存在する産業が取り扱っている貨物のみを表示します。
In Transit
待機/輸送中
Increase Industry density
産業チェーン/発電所を増やす
increase underground view level
ハイトカットレベルを上げる
industrial building
工場
Init map ...
マップを初期化しています ...
Input
原料
Ins Stop
挿入
Insert stop before the current stop
選択している駅の直前に駅を挿入
Insufficient funds!
資金が足りません！
Intercity road len:
都市間道路の長さ：
Intro. date
開発年月
Intro. date:
開発年月:
invalid
故障
Invalid coordinate
※無効な座標※
Invalid filter
無効なフィルタ設定です
isometric map
回転して表示
Jan.
1月
January
1月
join game
ゲームに参加
July
7月
Jump to
指定座標へ移動
June
6月
Kein Besitzer\n
\n
keine
無し
Keine Einzelfahrzeuge im Depot
車両は留置されていません
Keyboard_Help\n
キーボードヘルプ\n
koord
位置順
Kreuzung
踏切
labellist_title
マーカー一覧
Lade Relief
地形データを読み込む
Laden
ゲームの再開
Land attraction
郊外型施設
Land industries
産業チェーンの数：
LANG_CHOOSE\n
言語を選んでください。\n
LARGE_NUMBER_STRING
億
LARGE_NUMBER_VALUE
1e8
Last Month
先月
Last used tools
最後に使用したツール
Last Year
前年度:
Leaving depot!
出庫中
leer
空き
Legend
凡例
Leistung
出力
Leistung: %d kW
総出力：%d kW
Leitung
送電線
length: %d
建設距離: %d
Line
路線
Line Filter
路線フィルター
Line Management
路線編集
Lineless convoys serving this stop
路線に所属していない車両
Lines serving this stop
乗り入れている路線
List of industries on the map
マップ上の産業施設一覧
LKW_tab
トラック
Load game
ゲームの再開
load height data from file
地形データをファイルから読み込みます
Load scenario
シナリオを読み込む
loaded
乗車中
loaded passenger/freight
乗車中の旅客/貨物
Loading (%i->%i%%)!
積載(%i->%i%%)
Loading addon paks ...
アドオンを読み込み中 ...
Loading map ...
マップを読み込み中
Loading paks ...
pakを読み込み中 ...
Loading skins ...
スキンを読み込み中 ...
Lock game
プレイヤー変更の禁止【解除不可】
Lokomotive_tab
機関車
m3
立方m
Maglev
リニア
maglev vehicle
リニア車両
maglev_track
リニア
Maglevdepot
リニア車庫
Mail Demand %d\n
郵便需要 %d\n
Mailbox
メッセージ表
Mailbox Options
メッセージ設定
Maintenance
維持費
make stop public (or join with public stop next) costs %i per tile and level
公共駅に変更 駅上をドラッグで、実際の見積り費用を表示します (単価%i)
Manual (Human)
プレイヤー(人間)
Manufactured:
製造年月：
Map roughness
起伏の激しさ：
map zoom
拡大･縮小
Mar.
3月
March
3月
Margin (%)
利益率(%)
Marker
マーカー
max
高
Max Boost (%)
増産能力 (%)
Max income:
最大収益：
Max. speed:
最高速度:
Maximum 254 stops\nin a schedule!\n
スケジュールには最大\n254ヶ所までしか設定できま\nせん\n
maximum length of rivers
河川の長さ 最長：
Maximum tile height difference reached.
これ以上高く（低く）\n造成することはできません。\n\n隣接した土地の高低差は\n２段までです。\n
Maxspeed
最高速度
May
5月
Median Citizen per town
町の平均人口：
Meldung
メッセージ
Menge
待機数
MessageOptionsText
\n新年\n\n他社\n\n都市\n\nルート不明\n\n産業\n\nチャット\n\n車両登場\n\n駅の混雑\n\n問題\n\n渋滞\n\nシナリオ\n
min
低
minimum length of rivers
河川の長さ 最短：
Missing pakfiles
オブジェクトが不足しています!
Modify the selected line
選択されている路線を編集します
Monate alt
樹齢(月)
Monorail
モノレール
monorail vehicle
モノレール/リニア車両
monorail_track
モノレール
Monorailboden
高架
Monoraildepot
モノレール基地
month wait time
最大待ち時間(月):
Months
月
Monument
モニュメント
Monuments
モニュメント
Mountain height
起伏の高さ：
Movingobj
動物
Music playing disabled/not available
BGMは演奏できません。
Music volume:
BGMの音量:
mute sound
ミュート
Name
名前
Narrowgauge
ナローゲージ
Narrowgauge are not available yet!
ナローゲージは\nまだ利用できません。
narrowgauge vehicle
ナローゲージ車両
narrowgauge_track
ナローゲージ
Narrowgaugedepot
ナローゲージ車庫
Net ID: %p
電力網 ID: %p\n
Net Wealth
総資産
Net wealth near zero
総資産が尽きかけています
Neue Karte
新しいマップ
Neue Welt
新しいマップを作成する
new convoi
新しい編成
New Line
路線作成
New line created!\nYou can assign the line now\nby selecting it from the\nline selector above.
新しい路線が作られました。\n選択すれば路線を割り当てることができます。
New Vehicles
購入費
Nickname:
名前：
no buildings hidden
すべての建物を表示
no convois
編成はありません
No goods are loaded onto this convoi.
この編成を降車（荷降ろし）専用にします。
no goods waiting
待機中の貨物はありません
no load
回送
No stop here!
ここには駅がありません。\nキャンセルします。
No suitable ground!
適切な場所ではありません。\n\n気候条件が合わない/空地ではない\nまたは線路/道路上ではありません\nまた地下では線路/道路上を起点としてください。
No terminal station here!
この形式の停車場は走路の終端に\n建ててください！
no timeline
年代設定:無効
no tree
木/森を作成しない
No. of Factories
工場と店舗数
none
無し
nord
北
nordost
北東
nordwest
北西
Not enough fields would remain.
これ以上は撤去できません
Nov.
11月
November
11月
Now active as %s.\n
現在、%sが\n操作できます
Number of rivers
河川の数：
Object
原名
Oct.
10月
Odometer:
積算距離：
Ok
OK
Oktober
10月
On loan since %i month(s)
現在、負債があります。(%iヶ月間)
Only city chains
都市にチェーンを作成
Only first %d differing paks reported. There are probably more.
違いが多いため、%d個以上は表示を省略しています。
Only full Unicode fonts
Unicode対応フォントに限定
Only land chains
発電所/郊外のチェーンを作成
Only one transformer per factory!
工場ごとに変圧所は一つのみ建設できます。
Only show goods which are currently handled by factories
現在存在する産業が取り扱っている貨物のみを表示します。
open
進入可
open_signalbox_info
信号扱所情報
open_signal_connector_gui
信号機の接続先を操作する画面を開きます
Operation
運行費
Ops Profit
運用利益
Optionen
設定
Or enter a server manually:
参加するサーバーを入力:
Origin
出発地
ost
東
Output
製品
Ownership
所有者
Pak which may cause severe errors:
以下のオブジェクト(pak)が不足しているため、輸送に障害をもたらす可能性があります:
Pak which may cause visual errors:
以下のオブジェクト(pak)は同等のオブジェクトに置換されました:
Pak(s) different:
名前が同じで内容が異なるpak:
Pak(s) missing on client:
不足しているpak:
Pak(s) not on server:
サーバーにはない余分なpak:
Pakset differences
Pakセットの差異
paletten
パレット
Pas_tab
客車
Passagiere
旅客
Passagierrate
訪問者需要
Passagierziele
旅客/郵便物の行き先
Passenger AI
AI 旅客
Passenger Demand %d\n
労働者/顧客需要: %d\n
Password
パスワード:
Pause
一時停止
Pax <%i> Mail <%i>
旅客 <%i> 郵便 <%i>
PaxDest
旅客/郵便目的地
Percent Electricity
電力供給率(％)：
Planes are not available yet!
飛行機はまだ開発されていません！
Plant tree
木を植える
player
プレイヤー順
player -1
プレイヤー会社
player 0
公共事業
player 1
Napik 128 AS
player 10
プレイヤー 10
player 11
プレイヤー 11
player 12
プレイヤー 12
player 13
プレイヤー 13
player 2
Trikky Transport
player 3
Meyer Moving Co.
player 4
Spedition VM
player 5
H-Trans GmbH
player 6
PSK & Co KG
player 7
プレイヤー 7
player 8
プレイヤー 8
player 9
プレイヤー 9
Please choose vehicles first\n
最初に乗り物を選んでください\n
Post
郵便
Postrate
郵便度
Power
電力
Power:
出力：
Powerlines
高圧線
Price
車両価格
Problems_msg
問題
Produced
生産量
Produces: %.1f units/minute
生産量: %.1f 単位/分
Production/Boost
生産能力/増産
Produktion
生産
Profit
利益
promote to line
路線作成
q1
春
q2
夏
q3
秋
q4
冬
Query server
サーバ情報の表示
rail car
鉄道車両
random
ランダム
Random age
ランダムな樹齢を使用
Random map
ランダムマップ
Rathaus
役所
Rating
評価
ratio_pax
旅客輸送達成率
ratio_mail
郵便輸送達成率
ratio_goods
貨物輸送達成率
Relevant
取扱い貨物のみ
Reliefkarte
マップ
Remove
撤去する
remove airstrips
滑走路・誘導路の撤去
remove channels
運河の撤去
remove interm. signals
途中の信号を削除
remove maglev tracks
リニアの撤去
remove monorails
モノレールの撤去
remove narrowgauge tracks
ナローゲージの撤去
remove powerlines
送電線の撤去
remove roads
道路の撤去
remove tracks
鉄道の撤去
Remove wayobj %s
%s 架線の撤去
replace other signals
他の信号を置換
replace stop
スケジュール移動ツール
request closing
進入禁止
residential house
住宅
Restore natural slope
スロープを戻す
Restwert:
売却価格：
Retire date
引退年月
Retire. date:
引退年月:
return ticket
往復路線
Revenue
収入
Revision:
リビジョン:
road
道路
road vehicle
自動車
Roadsign
道路標識
Rotate map
90°回転する
Rotation
向き
Routing
経路
sack
袋
sail
帆走
Saving map ...
マップを保存中
Scenario complete: %i%%
シナリオ達成率: %i%%
Scenario Debug
デバッグ
Scenario Error Log
エラーログ
Scenario Goal
目標
Scenario Info
情報
Scenario information
シナリオの概要
Scenario Result
結果
Scenario Rules
ルール
Schedule changing!
ルート変更中
Schienentunnel
鉄道トンネルの建設
Schiff_tab
貨物船
Schiffdepot
造船所
Schleppkahn_tab
バージ
Screenshot
スクリーンショット
Search:
検索:
Seasons
季節
Sehenswuerdigkeit
名所旧跡
Select a server to join:
参加するサーバーを選択:
Select a theme for display
表示するテーマの選択
Select display font
テキストのフォントを選択
sended
配達実績
SEP_FRACTION
.
SEP_THOUSAND
,
SEP_THOUSAND_EXPONENT
4
Sept.
9月
September
9月
Server did not respond!
サーバーの応答がありません。
Serves Line:
指定路線:
Service
編成数
set signal spacing
信号間隔の設定
Setting
高度な設定
Ship
船舶
shops and stores
商店
Show all
全てを表示
show all building
すべての建物を表示する
Show also vehicles no longer in production.
生産を終了している乗り物も表示します。
Show also vehicles that do not match for current action.
このボタンをオフにすると、選択/連結できない乗り物を隠します
Show even servers with wrong version or pakset
リビジョンや種類が不明または異なるサーバーも表示する
show grid
グリッドを表示する
Show industry
産業凡例
Show legend
表示種別選択
Show map scale
カラースケール
Show mismatched
不適合のサーバーを表示
Show obsolete
旧型を表示
Show offline
オフラインを表示
Show only used
マップに存在のみ表示
Show schedules
路線経路の表示
Show servers that are offline
オフラインのサーバーを表示します
Show servers where game version or pakset does not match your client
バージョンやpakセットが異なるサーバーを表示
show station coverage
駅の有効範囲を表示する
show station names
駅名を表示する
show waiting bars
待機状態・待機数グラフを表示する
show/hide block reservations
ルートの予約の表示/非表示
Show/hide estimated arrival times
到着予定時刻の表示/非表示
show/hide object owner
所有者の表示/非表示
Show/hide statistics
統計グラフを見る／隠す
Shows consumer/suppliers for factories
産業施設のクリック[shift+クリック]で、需要先[供給元]を表示します
Shows the currently selected schedule
編集中の路線経路を表示します
Shrink city
都市の人口を減らす
shuffle midis
シャッフル演奏
Signal
信号
signal spacing
信号/標識の間隔
Sim:
演算回数：
Similar view as the main window
メインウィンドウと同じ視点にします
Size (%d MB):
サイズ (%d MB)：
sliced underground mode
ハイトカット表示モード
slot empty
＜空き＞
Smart hide objects
カーソル周辺を隠す
Sort by
並び替え規則
Sort by:
ソート:
Sort waiting list by
待機表の並び変え
Sound
サウンド
Sound settings
サウンド設定
Sound volume:
効果音ボリューム
special freight
専用貨物
Speedbonus\nroad %i km/h, rail %i km/h\nships %i km/h, planes %i km/h.
速達ボーナス:\n 道路 %i km/h, 鉄道 %i km/h, \n 海路 %i km/h 空路 %i km/h.
Speedlimit
制限速度
speed_restricted
最高速度が制限されています
Speichern
ゲームの保存
Spieler
プレイヤー
Spieler(mz)
ライバル会社
Spielerliste
ライバル会社一覧
Sprache
言語
Sprachen
言語
Stadtinformation
街の詳細
Start
スタート
Start the selected vehicle(s)
選択している編成を発進させます
Starte Spiel
この設定で始める
Station tiles:
ホームの長さ：
Station_msg
駅
Status
待合状態
steam
蒸気
Step timeline one year
１年進める
Stops
駅
Storage
在庫量
Storage capacity
待合室定員
Strassendepot
車庫
Strassentunnel
道路トンネルの建設
street car
路面電車車両
sued
南
suedost
南東
suedwest
南西
Summer snowline
雪線
Supplied: %.0f %%
供給率: %.0f %%
Suppliers
供給元
Supply %s at (%i,%i)
産業チェーン「%s」(%i,%i) を完成し、安定供給する
Tage alt
樹齢(月)
Theme selector
テーマの選択
There are still vehicles\nstored in this depot!\n
この車庫には、まだ乗り物が\n留置されています。\n
This Month
維持費(今月分)
This Year
今年度:
Tile not empty.
ここは空き地ではありません。\n土地の造成をする前にすべての\n建造物を取り除いてください。
timeline
年代設定:有効
tl_title
町一覧
To attract more tourists\n%s built\na %s\nwith the aid of\n%i tax payers.
より多くの乗降客を\n%sに呼び込むため\n「%s」を\n%i人の住民の援助により\n建設しました。
To heavy traffic\nresults in traffic jam.\n
交通集中により渋滞発生中\n
Toggle day/night view
昼/夜を交互に切り替えます
Toggle vehicle tooltips
乗り物の状態(ツールチップ)表示の切り替え
tonnen
t
Total inhabitants:
総人口:
Tourist attractions
名所旧跡
Tourists
名所
Town_msg
都市
Town: %s\n
所在地: %s\n
Towns
都市
track
鉄道
Tracks
鉄道線
Traffic
交通量
Train
列車
Trains are not available yet!
鉄道はまだ開発されていません！
Tram
市電
tram %i km/h, monorail %i km/h\nmaglev %i km/h, narrowgauge %i km/h.
市電 %i km/h, モノレール %i km/h, \n リニア %i km/h ナローゲージ %i km/h
tram_track
市電
Tramdepot
市電車庫
Trams are not available yet!
路面電車はまだ開発されていません！
Transferring game ...
ゲームを転送しています ...
Transformer only next to factory!
変圧所は、産業施設に\n隣接して建設してください。
Translation
日本語名
transparent station coverage
駅の有効範囲は半透明色で表示する
Transport %li passengers
月に %li人以上の旅客を輸送
Transported
輸送実績
Trees disabled!
樹木は使用できません！
TrolleyBus_tab
トロリーバス
Truck
自動車
tt_Other
その他
Tunnel muss an\neinfachem\nHang beginnen!\n
トンネルは直線の\n坂に作ってください。\n
Tunnel must start on single way!
トンネルはまっすぐな道路/線路上に\n設置してください。
Tunnelboden
トンネル内部
underground mode
地下路線建設モード
UNDO failed!
取り消しはできません。\n建設の取り消しができるの\nはルート上に信号や駅を建\n設していない場合だけです。
Undo last ways construction
直前に建設した道路/線路を取り壊す
Unemployed
無職者
units/day
単位/月
Update Line
路線編集
upgrade HQ
本社を拡張移転する
Usage: %.0f %%
稼動率: %.0f %%
Use beginner mode
初心者モード
Use timeline start year
年代設定を使用 開始年：
Vehicle %s can't find a route!
「%s」の\n運行できる経路がありません
Vehicle %s is stucked!
「%s」が\n立ち往生しています！
Vehicle details
乗り物の詳細
Verbrauch
消費
Vergroessere die Karte\n
マップを拡げています。\nしばらくお待ちください。\n
Verkauf
売却
verkaufen
売却
Verkehrsteilnehmer
自家用車
via
経由地
via %s\n
(%s経由)\n
via Menge
待機数/経由地
voranstellen
先頭へ
Waggon_tab
貨車
waiting
待機中
Waiting for clearance!
停止
Walked
徒歩
walking
徒歩連絡
Warnings_msg
警告
Wasser
海上
Water
水域
Water level
海面水位：
water vehicle
船舶
way %s cannot longer used:\n
この先、\n%sは\n建設できません。
way %s cannot longer used:\n%s\n
この先、\n%sは\n建設できません。
way %s now available:\n
%s が\n新しく建設可能になりました。\n\n
way %s now available:\n%s\n
%s が\n新しく建設可能になりました。\n%s\n
Way toll
通行料・使用料
Ways not connected
道路/線路が\n繋がっていません。
Wegpunkt
中継点
Weight
重量
Weight:
重量:
Wert
価格
west
西
Winter snowline
積雪高度
withdraw
引退
Withdraw All
すべて引退
WRONGSAVE
互換性が無いため、\nロードできません。\n
Year %i has started.
%i年になりました。
YEAR_SYMBOL
年
Years
年
Your primary color:
基調色
Your secondary color:
補助色
Zielort
目的地
zooming in
ズームイン
zooming out
ズームアウト
Zu nah am Kartenrand
地図の周辺部から離して\n設置してください\n
#_______________________________unnecessary_text________________________________
#_______________________________unnecessary_text________________________________
&0_CITY_SYLL
坂
&1_CITY_SYLL
崎
&2_CITY_SYLL
田
&3_CITY_SYLL
野
&4_CITY_SYLL
橋
&5_CITY_SYLL
塚
&6_CITY_SYLL
島
&7_CITY_SYLL
沼
&8_CITY_SYLL
原
&9_CITY_SYLL
岡
&A_CITY_SYLL
谷
&B_CITY_SYLL
井
&C_CITY_SYLL
内
&D_CITY_SYLL
平
&E_CITY_SYLL
沢
%1_CITY_SYLL
森
%2_CITY_SYLL
山
%3_CITY_SYLL
櫻
%4_CITY_SYLL
大
%5_CITY_SYLL
松
%6_CITY_SYLL
堀
%7_CITY_SYLL
倉
%8_CITY_SYLL
竹
%9_CITY_SYLL
福
%A_CITY_SYLL
川
%B_CITY_SYLL
富士
%C_CITY_SYLL
白
%D_CITY_SYLL
石
%E_CITY_SYLL
古
%F_CITY_SYLL
神
1center
%s%s
1extern
前%s%s
1suburb
%s%s%s
2center
%s中央%s
2extern
上%s%s
3center
%s本町%s
3extern
下%s%s
4center
中%s%s
4extern
%s外%s
5center
新%s%s
6center
元%s%s
7center
%s大通り%s
#___________________________Simutrans Extended Texts____________________________
#___________________________Simutrans Extended Texts____________________________
#_________________________________program_text__________________________________
#_________________________________program_text__________________________________
%1.2f$/mon
%1.2f$/月
from %s
(%sから)
via %s
%s 経由
brakes from max. speed in %i - %i m
(制動距離: %i - %i m)
brakes from max. speed in %i m
(制動距離: %i m)
(catering_levels: %s)
(車内サービスレベル: %s)
(Max. comfortable journey time:
(快適に移動できる最大時間:
(speed_restricted_by_bridge)
(橋梁による速度制限)
(speed_restricted_by_city)
(市道化による速度制限)
(speed_restricted_by_tunnel)
(トンネルによる速度制限)
(speed_restricted_by_wayobj)
(軌道付属設備による速度制限)
[R]
[折返]
\n\nInterest on your debt is\naccumulating at %i %%
\n借入に対する利率は %i %%です。
\n\nYour credit rating is being affected.
\n\n信用格付けに影響があります。
\nCity:
\n都市:
\nMAY USE:
\n通行可能:
\nMUST USE:
\n必須:
\nNetwork ID:
\nネットワークID:
\nOrigin: %s\nDestination: %s
\n出発地: %s\n目的地: %s
%_stronger
% 改善
%_weaker
% 悪化
%s has built a new %s in %s.
%sは新たに%sを%sに建設しました。
%s has built a new %s near %s.
%sは新たに%sを%sの付近に建設しました。
A signalbox cannot be built here.
ここには信号扱所を建設できません。
above\nminutes
集配可能な\n最小時間(分)
absolute_block
双信閉塞式
Acceleration
加速
Access
アクセス権
accommodation
クラス別定員/容量
accommodation (detail)
クラス別 (詳細)
accommodation (via)
クラス別 (経由地)
Act. load: %u KW\\n
送電量: %u kW\\n
Act. load: %u KW\n
送電量: %u kW\n
Act. load: %u MW\n
送電量: %u MW\n
additional_upgrades
追加の改造/更新
advanced_caution5
減速
advanced_caution5_alternate
減速(副本線)
advanced_caution5_main
減速(本線)
Airport too close to the edge
滑走路がマップ端に近すぎます
All hidden items (such as trees and buildings) will appear as transparent.
樹木や建築物をシルエットとして表示します。
All freight types
全ての貨物タイプ
All traction types
全動力タイプ
All regions
全ての地域
already_forged
買収済
alt_route
副本線
alt_route_and_callon
副本線誘導
Alternate directions
交互に運転方向を反転
aspects
現示数
assets
設備
assume_everywhere_connected_by_road
全ての都市が道路で接続されていると仮定
Automatically replace this convoy.
自動的にこの車両を置き換えます。
available
求人数
average
平均所要時間
Average speed
平均速度
Avg trip time
運用行程の平均時間
Axle load:
軸重:
Base profit per km (when full):
満載時の1kmあたりの収入(合計):
bidirectional_order
往復行路
block_reservation
閉塞予約
brakes from max. speed in %i m
最高速度からの最短制動距離: %i m
Bridge cannot be built over deep water\n
海が深すぎるため、橋を架けられません。
Bridges cannot be built over large buildings.
大きい建築物の上に橋は架けられません。
building
建築物
Built
建設年月
Buy/sell
購入/売却
cab_signalling
車内信号閉塞式
call_on
誘導
call_on_choose
誘導
call_ontime
誘導
call_ontime_choose
誘導
callon
誘導
Cannot build any more signals connected to this signalbox: capacity exceeded.
信号扱所が扱える信号機の数を超過しているため、これ以上信号を建設できません。
Cannot build any signal beyond the maximum radius of the currently selected signalbox.
現在選択している信号扱所の有効範囲を超えているため、信号を建設できません。
Cannot build signalbox underwater.
海底に信号扱所は建設できません。
Cannot build this signal this far beyond any signalbox.
信号扱所から離れているため、信号機を建設できません。
Cannot build this signal underground.
この信号機は地下に建設できません。
Cannot build this signal without a signalbox. Build a new signalbox or select an existing one to build this signal.
この信号機は信号扱所なしでは建設できません。新しい信号扱所を建設するか、信号扱所を選択してください。
Cannot combine way object and halt.
軌道付属設備と停車場/駅を結合することはできません。
Cannot delete a road where to do so would leave a city building unconnected by road.
道路に面さなくなる建築物があるため、この道路を撤去できません。
Cannot edit block reservations on another player's way.
他プレイヤーの線路の閉塞予約を変更することはできません。
Cannot remove a public right of way without providing an adequate diversionary route
公道を撤去できません。迂回路を建設してください。
Cannot set marker here.\n
ここにはマーカーを設置できません。
Cannot terraform in deep water
海が深すぎるため、地形の変更はできません。
Cannot transfer any signals between these signalboxes because none of the signals will be compatible.
信号機が対応していないため、選択した信号扱所の間で信号機を再割当てすることはできません。
Cannot transfer any signals to this signalbox: it does not have any spare capacity for more signals.
信号機の再割当てができません。信号扱所の操作可能な信号機の台数を超えています。
Cannot transfer signals from a signalbox belonging to another player.
他社の信号扱所から自社の信号機への再割当てはできません。
Cannot transfer signals to a signalbox belonging to another player.
他社の信号扱所に対して自社の信号機の再割当てはできません。
Cannot transfer signals: unknown error.
不明な原因により、信号機の再割当てができませんでした。
cap_maglev_track
リニア軌道
cap_monorail_track
モノレール軌道
cap_narrowgauge_track
ナローゲージ軌道
cap_road
道路
cap_taxiway/runway
滑走路/誘導路
cap_track
鉄道線路
cap_tram_track
市電/併用軌道
cap_water_canal
運河
capacity_per_class
クラスごとの定員/容量
Capacity: %3d %s%s %s\n
定員/容量: %3d %s%s %s\n
capacity: %s %s
定員/容量: %s %s
Capacity: %u KW\n
送電容量: %u kW\n
Capacity: %u MW\n
送電容量: %u MW\n
Capital expenditure on infrastructure
道路や軌道などの設備に対する建設費を表します。
Capital expenditure on vehicle purchases and upgrades
車両の購入費および改造・更新費の合計を表します。
capital_threshold_size
政令指定都市の閾値
Car ownership
自家用車での移動率
catering bonus\nfor travelling
車内サービスによる\n追加収入
catering level 1
車内サービスレベル 1
catering level 2
車内サービスレベル 2
catering level 3
車内サービスレベル 3
catering level 4
車内サービスレベル 4
catering level 5
車内サービスレベル 5
Catering level: %i
車内サービスレベル: %i
Catering level: %i\n
車内サービスレベル: %i\n
catering_cars: %i
車内サービス提供車両数: %i
catering_income_pr_km_(full_convoy):
1kmあたりの車内サービス収入(満載時):
caution2
注意
caution2_alternate
注意(副本線)
caution2_main
注意(本線)
caution3
注意
caution3_alternate
注意(副本線)
caution3_main
注意(本線)
caution4
注意
caution4_alternate
注意(副本線)
caution4_main
注意(本線)
caution5
警戒
caution5_alternate
警戒(副本線)
caution5_main
警戒(本線)
cautionpre
注意
cautiontime
注意
cautiontime_alternate
注意(副本線)
cautiontime_main
注意(本線)
Centralised path searching
集中経路探索
Centralised path searching is currently not available when playing online.
集中経路探索はオンラインプレイ中無効になります。
chance\npercent
確率 (%)
change_the_classes_for_the_entire_line
この路線全体に対して旅客/郵便クラスを変更します。
choose_sign
振分標識
choose_signal
場内信号(進路振分)
Cities ignore height
標高/気候を無視して都市を建設
Cities like water
海岸/川沿いを中心に都市を建設
Cities will be built all over the terrain, rather than preferring lower ground
地形を無視して都市を建設します。
City
都市
City cluster size:
都市圏の大きさ:
City generation: not enough places found for cities. Only %d cities generated.\n
都市の生成に関する注意: 都市を建設するのに十分な土地がありません。\n%d都市のみが生成されました。
City generation: only %d cities could be placed inside clusters.\n
都市の生成に関する注意: 都市圏の中で%d都市のみが生成されました。\n
city_threshold_size
都市サイズの閾値
class
クラス
Class
クラス
class_manager
旅客/郵便クラスの割当て
classes
クラス
Clear
変更をクリア
clear2
進行
clear2_alternate
進行(副本線)
clear2_main
進行(本線)
clear3
進行
clear3_alternate
進行(副本線)
clear3_main
進行(本線)
clear4
進行
clear4_alternate
進行(副本線)
clear4_main
進行(本線)
clear5
進行
clear5_alternate
進行(副本線)\n
clear5_main
進行(本線)
clearpre
進行
cleartime
進行
cleartime_alternate
進行(副本線)
cleartime_main
進行(本線)
clf_chk_noroute_too_complex
最大ステップ数を超えているため、車両の経路を構築できません。
clf_chk_obsolete
生産中止
Cluster size
都市圏のサイズ
combined_signal
複合信号機(場内信号機+通過信号機)
Comfort
快適性
comfort expectance\nfor travelling
移動中の快適性
comfort impact\nlimitations
快適性の収入への影響
Comfort:
快適性:
comfort: %i
快適性: %i
commuting
通勤中
Commuting
通勤成功率
Condition
軌道の状態
Congestion
道路渋滞
Connecting cities ...
都市を接続中...
Constructed by %s\n
作者: %s\n
Controlled from
この信号が属する信号扱所
Convoi has been sent\nto the nearest depot\nof appropriate type.\n%s\n
この編成は一番近い車庫に向かいました。\n(%s)\n
Convoi is sent to depot when all wagons are empty.
空車時に車庫へ回送します。
convoy_times_history
所要時間の履歴
Cost of overdraft interest payments
負債がある場合の貸付利子を表します。
Cost:
購入費:
Cost: %8s (%.2f$/km, %.2f$/month)\n
購入費: %8s\n維持費: 1kmあたり%.2f$, 1ヶ月あたり%.2f$\n
Cost: %8s %s
購入費: %8s %s
Cost: %8s\n
購入費: %8s\n
Credit limit
与信限度額
Credit Limit
与信限度額
Current working method
信号保安システム
current_clear_directions
進行信号の方向
current_state
現在の現示
danger
停止
decreased_axle_load
劣化後の最大軸重
decreased_maintenance
維持費の減少
decreased_max_weight
劣化後の最大重量
decreased_speed
最高速度の低下
default_increase_maintenance_after_years_air
1年あたり維持費の上昇率(航空機)
default_increase_maintenance_after_years_maglev
1年あたり維持費の上昇率(リニア)
default_increase_maintenance_after_years_monorail
1年あたり維持費の上昇率(モノレール)
default_increase_maintenance_after_years_narrowgauge
1年あたり維持費の上昇率(ナローゲージ)
default_increase_maintenance_after_years_other
1年あたり維持費の上昇率(その他)
default_increase_maintenance_after_years_rail
1年あたり維持費の上昇率(鉄道)
default_increase_maintenance_after_years_road
1年あたり維持費の上昇率(道路)
default_increase_maintenance_after_years_tram
1年あたり維持費の上昇率(路面電車)
default_increase_maintenance_after_years_water
1年あたり維持費の上昇率(船舶)
Degraded
更新不可能
Demand: %u KW\n
電力需要: %u kW\n
Demand: %u MW\n
電力需要: %u MW\n
Departures
定刻発車回数
Departures to\n
出発予想時間:\n
Depot found but could not be inserted in schedule. This is a bug!%s\n
適切な車庫へのスケジュール挿入が出来ません。\n
destination (detail)
目的地 (詳細)
differential
微分値
Direction
方向
directional_reservation
方向予約
distance
距離
distance_per_tile_percent
1タイルあたりの距離(%)
distance_to_vehicle
列車までの距離
Distance\nComfort\nCatering level\nSpeedbonus\nroad %i km/h, rail %i km/h\nships %i km/h, planes %i km/h.
走行距離\n快適性\n車内サービスレベル\nスピードボーナス\n道路 %i km/h, 鉄道 %i km/h\n船舶 %i km/h, 航空機 %i km/h.
Distance\nComfort\nSpeedbonus\nroad %i km/h, rail %i km/h\nships %i km/h, planes %i km/h.
走行距離 (km)\n快適性\nスピードボーナス\n道路 %i km/h, 鉄道 %i km/h\n船舶 %i km/h, 航空機 %i km/h.
distant_signal
遠方信号
double_block_signal
二閉塞信号
drive_by_sight
無閉塞運転
Durability
耐久性
duration\nin minutes
乗車時間(分)
east_and_west
東-西
east_west
東西
Electrical consumption:
電力消費:
Electrical demand:
電力需要:
Electrical output:
発電能力:
Emergency stop
緊急停止
emergency_stop %s left
緊急停止 残り%s
end_of_choose_sign
振分終端標識
equipped_with
搭載設備
Explore paths:
経路探索:
Fill path matrix:
経路行列の計算
Filter eligible halts:
停車場のフィルタリング:
Finalising ...
調整中...
Fixed Costs
固定維持費
forge_costs
土地買収費用
Full replace
交換後運行
General Exp.
Extended一般
Generation: %u KW\n
発電量: %u kW\n
Generation: %u MW\n
発電量: %u MW\n
get\nrevenue $
収入 ($)
gl_btn_sort_catg
カテゴリー順
gl_btn_sort_weight
重量順
good_units
貨物単位
Goods supplied
貨物の供給量
Graphs right to left instead of left to right
グラフの時間軸の向きを反転させます。
Graphs showing financial information will appear from right to left instead of left to right
財務情報グラフの時間軸を反転します
Graphs showing non-financial information will appear from right to left instead of left to right
財務情報以外のグラフの時間軸を反転します
Gross revenue
輸送による総収入を表します。
Groups:
グループ:
Growing cities ...
都市の生成中...
has changed its colour scheme.
はプレイヤーカラーを変更しました。
head
頭
hide objects under cursor
カーソル周辺の樹木や建物を隠す
high_clearance_under_bridges_(no_low_bridges)
車高制限(低い橋梁の下は通行不可)
Highlight the locations of stops on the current schedule
路線スケジュールの編集時、設定した停車位置をハイライトします。
Hilly landscape
山岳地形
If this is set, convoys will wait until one of the specified times before departing, the specified times being fractions of a month.
この項目を設定した場合、1ヶ月あたりの発車許可の回数と、発車時刻を決めることができます。
in
の市域内に
income_pr_km_(when_full):
満載時の1kmあたりの収入:
increased_axle_load
更新後の最大軸重
increased_maintenance
維持費の増加
increased_max_weight
更新後の最大重量
increased_speed
更新後の最高速度
Industry: %s has closed down, with the loss of %d jobs. %d upstream suppliers and %d downstream customers are affected.
産業:%sの閉鎖に伴い、%d人の雇用が失われ、%dの供給元と%dの需要先の産業が影響を受けました。
Industry:\n%s\nhas closed,\nwith the loss\nof %d jobs.\n%d upstream\nsuppliers and\n%d downstream\ncustomers\nare affected.
産業:%sの閉鎖に伴い、%d人の雇用が失われ、%dの供給元と%dの需要先の産業が影響を受けました。
infinite_range
有効範囲の制限なし
Interest
利子
intermediate_signal
中間閉塞信号
Inverse graphs
グラフの反転
Inverse graphs (financial)
グラフの時間軸の反転 (財務)
Inverse graphs (other)
グラフの時間軸の反転 (その他)
Jobs
雇用
Keep replaced vehicles in the depot for future use rather than selling or upgrading them.
将来の使用や改造/更新のため、置き換え対象の車両も車庫に保管します。
Land value
地価
Last renewed
最終更新年月
latest_3
過去3回の実測値
line_class_manager
路線のクラス割当て
line_has_obsolete_vehicles
生産中止した車両があります
line_has_obsolete_vehicles_with_upgrades
改造可能な車両があります
line_loss_making
赤字です
line_missing_scheduled_slots
定時運行できていません。増発してください
line_no_convoys
車両がありません
line_nothing_moved
運行していません
line_overcrowded
路線に混雑している編成があります
line_times_history
路線の実測所要時間
Livery scheme:
車両の塗装:
Loading time:
停車時間:
Loading. %s left!
客扱中:出発まで %s
local
短距離
LOCO_CAP
定員/容量: %d%s %s\n
LOCO_INFO_EXT
%s\n購入費: %s\n維持費: 1kmあたり%1.2f$, 1ヶ月あたり%1.2f$\n出力: %dkW, %dkN\n最高速度: %dkm/h\n重量: %dt\n最大制動力: %dkN\n転がり抵抗: %fN\n
long dist.
長距離
long time
長時間
longblock_signal
多閉塞信号
Low bridge
車高制限あり
Mail delivery
郵便配達成功率
Mail delivery success last year:
昨年の郵便配達成功率:
Mail delivery success this year:
今年の郵便配達成功率:
Mail demand/output
郵便需要/発送量
Mail sent last year:
昨年の郵便発送数:
Mail sent this year:
今年の郵便発送数:
maint_incl_wayobj
軌道付属設備を含む維持費
maintenance
維持費
Maintenance: %1.2f$/km, %1.2f$/month\n
維持費: 1kmあたり%1.2f$, 1ヶ月あたり%1.2f$\n
Mark for replacing
手動交換
Mark for replacing. The convoy will replace when manually sent to depot
交換するには、手動で車庫に回送する必要があります。
max catering\nrevenue $
車内サービスによる\n最大収入 ($)
max discomfort penalty
苦情(低快適性)ペナルティの最大値
max dist.\nkm
最長距離(km)
max luxury bonus
最大の快適性ボーナス
max_alternative_destinations
代替目的地の最大数
max_bonus_min_distance
最大のボーナスを得るための最短距離
max_bonus_multiplier_percent
最大ボーナスの係数(%)
max_dist_between_signals
移動閉塞信号の有効距離
Max. axle load:
最大軸重:
Max. brake force:
最大制動力:
Max. bridge weight:
橋梁の重量制限:
Max. signals
信号機の最大数
Max. weight:
最大重量:
median long time
長めの中時間
median median time
中時間
median short time
短めの中時間
median_bonus_distance
中間のボーナスを得るための距離
meter
m
mid range
中距離
min comfort\nrating
最小の快適性
min dist.\nkm
最短距離(km)
min traveltime
最小の乗車時間
min_bonus_max_distance
最小のボーナスを得るための最長距離
min_speed
最低速度標識
Minimum runway length
最小滑走路長
Modified comfort
車内サービスを含む快適性
monthly_maintenance_cost
1ヶ月あたり維持費
more_units
その他 貨物
moving_block
移動閉塞式
Name/password
会社名/パスワード
Narrow gauge
ナローゲージ
near
の近郊に
Net ID: %u\n
送電線ネットワークID: %u\n
new_way_is
更新後の軌道:
Next Month:
来月:
NO CONTROL TOWER
空港管制塔なし
No suitable depot found!\nYou need to send the\nconvoi to the depot\nmanually.\n%s\n
適切な車庫が見つかりません。\手動でn車庫へ編成を送る必要があります。\n%s\n
no_cargo_capacity
貨物/旅客の積載はできません
no_maintenance_costs
維持費なし
no_route_too_complex_message
経路探索できません。最大ステップ数を超えています。
no_time_entry
記録なし
normal_unidirectional_order
順行路
North To South
南北方向
north_and_east
北-東
north_and_south
南-北
north_and_west
北-西
north_east
北東
north_south
南北
north_west
北西
Not all signals were transferred successfully.
一部の信号機の再割当てを完了できませんでした。
Not enough money to carry out essential way renewal work.\n
軌道の更新に必要な資金が不足しています。\n
Number of big cities
大都市の数
Number of big cities:
大都市の数:
Number of city clusters:
都市圏の数:
Number of clusters
都市圏の数
Number of units of passengers and goods transported
旅客や貨物を輸送した数を表します。
Obsolescence increase
製造中止後の維持費上昇率
on foot)
徒歩)
one_train_staff
スタフ閉塞式
one_way_sign
一方通行標識
Open countryside
市域外
Open water
水上
Operating revenue less operating expenditure
収入から運行費と維持費を差し引いた利益を表します。
origin
出発地
origin (amount)
出発地 (待機数)
origin (detail)
出発地 (詳細)
out of range
航続距離オーバー
overcrowded_capacity
過積載定員/容量
partly_forged
一部買収済
Passenger destinations
旅客の目的地
passenger_routing_packet_size
旅客経路計算時のパケットサイズ
passenger\ndistribution
旅客の分布
Passengers
旅客
Pedestrians will appear near stops whenver a passenger vehicle unloads there.
乗客の降車時、常に歩行者を表示します。
Pedestrians will appear randomly in towns.
この項目が設定されている場合、歩行者がランダムに出現します。
per 1 km
/1km
percent
パーセント
Percentage of revenue retained as profit
収入のうち、利益となった割合(%)を表します。
permissive_signal
許容信号
permitted_direction
進行許可方向
petrol
ガソリン
Placing attractions ...
特殊建築物を設置しています...
Placing cities ...
都市を設置しています...
Placing industries ...
産業を設置しています...
Placing trees ...
樹木を設置しています...
Population density
人口密度
possible_upgrades
更新/改造可能な車両数
Power demand
電力需要
Power supply
電力供給
Power: %4d kW, %d kN\n
出力/牽引力: %4d kW, %d kN\n
Power/tractive force (%s): %4d kW / %d kN\n
出力/牽引力 (%s): %4d kW / %d kN\n
Power/tractive force: %4d kW / %d kN\n
出力/牽引力: %4d kW / %d kN\n
preliminary_caution4
減速
preliminary_caution4_alternate
減速(副本線)
preliminary_caution4_main
減速(本線)
preliminary_caution5
注意
preliminary_caution5_alternate
注意(副本線)
preliminary_caution5_main
注意(本線)
priority_reservation
優先予約
private_way_sign
私道標識
Processing ...
処理中...
Public right of way
公共管理
pulls
牽引性能
Pulls
牽引性能
Pulls:
牽引性能:
quick_city_growth
簡易的な都市成長アルゴリズムを使用
Radius
有効半径
radius
有効半径
Rail
鉄道
Range
航続距離
Re-route goods:
経路の再探索:
Read-only option : need to be set in simuconf.tab
読み込み専用オプション : simuconf.tabで設定してください。
Reassign signals
信号機の再割当て
reassign_classes
旅客/郵便クラスの再割当て
reassigned_class
割当て後のクラス
reassigned_classes
クラス 再割当て済み
reassigned_to_multiple
(複数クラスが割当てられています)
Rebuild connexions:
接続の再構成:
Recurring expenses of infrastructure maintenance
インフラ維持にかかる経費を表します。
Refresh routes instantly
直ちに経路を再探索する
Refund
払戻し
Refunds
払戻し
remove interm. signals
途中の信号を削除
renewal_costs
更新費
Replace
交換
replace all
すべて交換
Replace all convoys like this
所有する同じ構成の編成すべてを対象にします。
Replace all convoys like this belonging to this line
同一路線内の、同じ構成の編成すべてを対象にします。
replace all in line
同一路線のみ、すべて交換
Replace but stay
交換後待機
Replace cycle:
交換比率:
replace other signals
他の信号を置換
Replacing
交換中
Replacing\nvehicles of\n%-20s\ncompleted
%-20sの車両の置き換えが完了しました。
requires
必要な滑走路長:
Reset this replacing operation
編成の置き換え操作をリセットします。
reset_all_classes
運賃クラス設定を初期化
reset_all_mail_classes
郵便物運賃クラス設定を初期化
reset_all_pass_classes
旅客運賃クラス設定を初期化
resets_all_classes_to_their_defaults
客室（設備）等級に対する運賃クラスの設定を推奨設定に戻します
resets_all_mail_classes_to_their_defaults
この路線に所属する全ての車両の郵便物運賃クラスの設定を推奨設定に戻します
resets_all_passenger_classes_to_their_defaults
この路線に所属する全ての車両の旅客運賃クラスの設定を推奨設定に戻します
residents_wealth
住民の裕福度
Restrictions:
制限:
Retain in depot
車庫に保管
Retire
車庫へ回送
Revenue from electricity transmission
送電収入
revenue of
収入:
reverse route
逆行路
reversed_unidirectional_order
逆行路
Reversing
折り返し中
Reversing. %s left
折り返し中 残り %s
Road
道路
Rolling resistance:
転がり抵抗:
Routes will update instantly after any changes to lines/schedules. Can make the game respond slowly on big maps.
路線やダイヤの変更後、直ちに路線を更新します。大きいマップでは応答が遅くなる可能性があります。
rpl_cnv_replace
交換
rpl_cnv_sell
売却
rpl_cnv_skip
非交換
Runway too short
滑走路が短すぎます
runway_09/27
滑走路 09/27
runway_36/18
滑走路 36/18
runway_38/18
runway 36/18
runway_not_reserved
予約されていません
same_as_current
現在と同じ
savegame Experimental version
Extendedセーブバージョン
Schedule is incomplete/not finished
経路設定が完了していません
Scheduled
設定発車回数
See under the ground, one layer at a time. Toggle with CTRL + U. Move up/down in layers with HOME and END.
地上/地下を1層ごとに表示します。Ctrl+Uで切り替えできます。階層を変更するにはHOMEキー/ENDキーを使用してください。
See under the ground, to build tunnels and underground railways/metros. Toggle with SHIFT + U
地下鉄等の建設のため、地下を表示します。Shift+Uで切り替えできます。
see_and_change_the_class_assignments
旅客やクラスの割当てについて表示・変更します。
Sell
売却
Send convoy to depot, replace and restart it automatically
空車時を待って車庫で交換し、運行を継続します。
Send convoy to depot, replace it and stay there
空車時を待って車庫で交換し、そのまま車庫で待機します。
Send the convoy to its home depot for replacing rather than the nearest depot.
最も近い車庫ではなく、この車両を購入した車庫へ回送します。
Serves line
運行路線
Service frequency
平均運行間隔
set signal spacing
信号間隔の設定
short time
短時間
Show a non-transient dialogue box
一時的でないダイアログメッセージを表示します。
Show a transient dialogue box
一時的なダイアログメッセージを表示します。
Show also vehicles whose maintenance costs have increased due to obsolescence.
生産終了のため維持費が上昇している車両も表示します。
Show from how far that passengers or goods will come to use your stops. Toggle with the v key.
集客範囲/貨物の移動可能範囲を表示します。vキーで切り替え可能です。
Show in the ticker
画面下部にスクロールで表示します。
Show in ticker
画面下部にスクロールで表示します。
Show outdated
古い車両を表示
Show the condition of ways
軌道の状態を表示します。
Show the map in the same isometric orientation as the main game window
ゲームのメインウィンドウと同じ視点になるようにミニマップを回転させます。
Show the staff shortage rate
雇用者数の不足率を建物ごとに色分けして表示します。
Show the success rate for commuting passengers
通勤客の通勤成功率を建物ごとに色分けして表示します。
Show the success rate for mail delivery
郵便の配達成功率を建物ごとに色分けして表示します。
Show the success rate for visiting passengers
旅行客の旅行成功率を建物ごとに色分けして表示します。
Show the weight limit of ways
道路や軌道の重量制限を表示します。
Shows a bar graph representing the number of passengers/mail/goods waiting at stops.
旅客/郵便/貨物の待機数と対応した棒グラフを表示します。
Shows the borderlines of each tile in the main game window. Can be useful for construction. Toggle with the # key.
マップのグリッドを表示します。#キーで切り替え可能です。
Shows the names of the individual stations in the main game window.
駅やラベル名の表示形式を変更します。
signale bauen
OK
Signals
信号機の数
Signals not transferred
信号機の再割当てを実行できませんでした
Signals transferred successfully
信号機の再割当てが完了しました
Size
サイズ
Skip
非交換
Solvency Limit
支払能力
south_and_east
南-東
south_and_west
南-西
south_east
南東
south_west
南西
Spacing cnv/month
1ヶ月あたり発車許可本数
Spacing cnv/month, shift
1ヶ月あたり発車許可本数, シフト時間
sq. km.
平方km
staff_shortage
従業員が不足しています
Staffing
求人率
Stand-by
スタンバイ
station_signal
駅出発信号
stations
停留所/駅
Status:
状態:
Stops potentially within walking distance:
徒歩で移動可能な駅/停留所:
That would exceed\nyour credit limit.
借入限度額を超えるため、これ以上建設できません。
The amount of mail transported in the region overall
マップ全体で輸送された郵便物の総数を表します。
The charges incurred or revenues earned by running on other players' ways
他社の軌道や道路を通行したことによる通行料や収入の総和を表します。
The convoy has been sent\nto its home depot.\n
車両は車庫に回送されました。\n
The convoy has been sent\nto its home depot.\n%s\n
編成は所属車庫へ送られました。\n(%s)\n
The display of the station coverage can either be a transparent rectangle or a series of boxes.
駅の集客範囲の表示を半透明と四角形の間で切り替えます。
The following %s has become obsolete:\n%s\n
次の%sは製造終了しました:\n%s\n
The main game window can be scrolled by right-clicking and dragging the ground.
右ドラッグでゲーム画面の視点を移動することができます。
The maximum amount that can be borrowed without going bankrupt
破産することなく借入できる限度額を表します。
The maximum amount that can be borrowed without prohibiting further capital outlays
維持費などの資本支出を禁止せずに借入できる限度額を表します。
The number of convoys that have serviced this stop
この停留所/駅に停車した編成数を表します。
The number of industries in the region
このマップに存在する産業の総数を表します。
The number of inhabitants by which the region has increased
マップ全体での住民の増加率を表します。
The number of inhabitants of the region
マップ全体の住民の総数を表します。
The number of jobs in the region
このマップ内の雇用数を表します。
The number of passengers who could not find a route to their destination
目的地までの経路を見つけられなかった旅客の人数を表します。
The number of passengers who decline to travel because the journey would take too long
許容できる旅行時間よりも所要時間が長すぎるため、旅行を取り止めた旅客の人数を表します。
The number of passengers who have travelled successfully from this stop
この停留所/駅からの移動に成功した旅客の人数を表します。
The number of passengers/units of mail/goods that have arrived at this stop
この停留所/駅に到着した旅客/郵便/貨物の数を表します。
The number of passengers/units of mail/goods that have departed from this stop
この停留所/駅から出発した旅客/郵便/貨物の数を表します。
The number of passengers/units of mail/goods waiting at this stop
駅/停留所で待機している旅客/郵便/貨物の数を表します。
The number of private car trips in the region overall
このマップ全体の自家用車による移動総数を表します。
The number of urban areas in the region
マップ全体の都市の数を表します。
The number of visitors demanded in the region
マップ全体での旅客の需要人数を表します。
The percentage of available goods that have been transported in the region
マップ全体で輸送が完了した貨物の割合(%)を表します。
The percentage of passengers transported in the region overall
マップ全体で移動が成功した旅客の割合(%)を表します。
The percentage of people who have access to a private car
自家用車を使用した人数の割合(%)を表します。
The total amount of mail generated in the region
このマップ全体で生成された郵便の総数を表します。
The total number of convoys in the region
このマップ全体の車両の総数を表します。
The total number of mail/passengers/goods transported in the region
このマップ全体で輸送された旅客/郵便/貨物の総数を表します。
The total number of passengers wanting to be transported in the region
マップ全体で、駅等で待機している旅客の人数を表します。
There is already a marker here.\n
ここには既に他のマーカーがあります。\n
This can only be built underground.
これは地下にのみ設置可能です。
This is a tilting vehicle\n
車体傾斜装置付き\n
This is a travelling post office
郵便取扱便
This signal creates directional reservations
この信号機は方向予約を行います
This signal is not compatible with this signalbox.
この信号機は、現在選択している信号扱所では操作できません。
this_signal_will_not_clear_until_next_signal_is_clear
この信号は次の信号機が進行信号を現示するまで進行信号を現示しません
this_vehicle_can_upgrade_to
次の車両への改造/更新が可能:
this_vehicle_carries_no_good
この車両は貨物を積載できません
tile
タイル
tiles
タイル
tilting_vehicle_equipment
車体傾斜装置
Time since a train last passed
最後にこの信号機を列車が通過してから
time_interval
時間間隔法
time_interval_with_telegraph
票券式を用いた時間間隔法
times_history
実測所要時間
To be renewed with
次回更新
To be replaced by:
置き換える編成:
token_block
タブレット閉塞式
too heavy
過重量
Too slow
許容時間超過
Too tall for low bridges
車高が高いため、低い橋の下は通行できません
Total assets less total liabilities
資産と現金の和を表します。
Total capital assets, excluding liabilities
固定資産の評価額を表します。
Total income less total expenditure
収入から維持費・建設費等の支出を差し引いた利益を表します。
Total liquid assets
現在所持している現金を表します。
tpo_cars: %i
郵便車(取扱便)の車両数: %i
tpo_income_pr_km_(full_convoy):
1kmあたり取扱便収入(編成全体):
track_circuit_block
自動閉塞式
track_not_reserved
予約されていません
track_speed
軌道の最高速度
Tractive force:
牽引力:
traffic_light
道路信号機
Transfer time:
構内の移動時間:
transferring
移動中
transfers
移動中の旅客/貨物
Transformer only next to factory or in city!
変電所は産業の隣接マスか市域内にのみ建設できます。
Transshipment time:
駅構内の移動時間:
traveling_post_office
郵便車 取扱便
travelling post office
郵便車 取扱便
Trees will be miniaturised or made transparent in the main game window.
樹木の表示を小さくするか透明化します。
turbine
ジェットエンジン
underground
地下
underground_sign
地下標識
underground_signal
地下用信号機
units transferring
単位 移動中
Unknown destination
不明な目的地
unlimited
無制限
unpowered
動力なし
Unpowered vehicles only
動力車がありません
Upgrade
改造/更新
Upgrade price:
改造/更新費:
upgradeable_vehicles
改造/更新可能な車両
Usage: %u %%
電力使用率 %u %%
Use any vehicles already present in the depot, if available, instead of buying new ones or upgrading.
可能であれば、購入や改造/更新する代わりに車庫に留置されている車両を使用します。
Use centralised instead of distributed path searching system.
分散経路探索システムの代わりに集中経路探索システムを使用します。
Use existing vehicles
購入済みの車両を使用
Use home depot
車両購入時の車庫を使用
Use one spacing shift value for all stops in schedule.
シフト時間を全ての停留所に適用します。
Use performance counter
パフォーマンスカウンタを使用する
Use same shift for all stops.
全停留所/駅に同じシフト時間を設定
Vehicle maintenance
車両維持費
Vehicle maintenance costs per month
1ヶ月あたり車両維持費
Vehicle running costs (both fixed and distance related)
固定維持費と運行経費を含む車両の運行費を表します。
Vehicle running costs per km
1kmあたり車両維持費
Vehicles make a round trip between the schedule endpoints, visiting all stops in reverse after reaching the end.
車両がスケジュールの終点に達した後、停留所リストの逆順で停車します。
view_journey_times_history_of_this_convoy
この車両における駅間の所要時間を閲覧します。
view_journey_times_history_of_this_line
この路線における駅間の所要時間を閲覧します。
visiting
旅行中
Visiting
旅行成功率
Visitor demand
旅客需要
Wait for time
ダイヤを設定する
Waiting for schedule. %s left
発車時刻まで 残り%s
waiting time unknown
待ち時間不明)
waiting\ntolerance\nmax. min
最大許容待機時間(分)
waiting\ntolerance\nmin. min
最小許容待機時間(分)
Walking time
駅までの徒歩時間
Way constraint permissive
許容的軌道制約
Way constraint prohibitive %n\n
禁止的軌道制約 %n\n
Way wear factor
軌道への負荷
way_cannot_be_used_by_any_vehicle
通行不能です！
way_speed
軌道の最高速度
wealth (detail)
裕福度別 (詳細)
wealth (via)
裕福度別 (経由地)
wealth_of_commuters
通勤客の裕福度
wealth_of_visitors
旅行客の裕福度
wealth_of_visitors_/_commuters
旅行客/通勤客の裕福度
Wear
軌道の状態
Weight limit
重量制限
Welcome to Simutrans-Extended (formerly Simutrans-Experimental), a fork of Simutrans-Standard, extended and maintained by the Simutrans community.
ようこそSimutrans-Extendedへ! Simutrans-StandardはHj. MalthanerとSimutransコミュニティによって開発されました。Simutrans-ExtendedはSimutrans-Standardを元にしてJames E. PettsとSimutransコミュニティによって開発が続けられている派生版です。
West To East
東西方向
When adding convoys to the line, every second convoy will follow it in the reverse direction.
路線に車両を追加したとき、車両が交互に反対方向へ運行するように設定します。
When this is set, the vehicle will visit stops in reverse order.
このチェックを有効にすると、スケジュールの行路を逆順に巡回します。
Whether the lighting in the main game window simulates a periodic transition between day and night.
一定の時間間隔で日中の表示と夜間の表示を切り替えるかどうかを設定します。
with_wayobj
\n軌道付属設備:
YEAR_SYMBOL
年
You have been overdrawn\nfor %i months
現在、負債が\n%i ヶ月分あります。
You have been overdrawn\nfor one month
現在、負債が\n1 ヶ月分あります。
Turned away
駅の混雑
Gave up waiting
乗り継ぎ不良
The number of passengers who have been turned away from this stop because it is overcrowded
この駅があまりに混雑していたので利用を諦めた旅客の数を表します。
The number of passengers who had to wait so long that they gave up
この駅から旅行を開始したものの、乗り継ぎの接続が悪く長時間待たされたので旅行を中断した旅客の数を表します。
Evaluation:
利用者の評価:
No passenger service
旅客輸送が提供されていません
This stop has no user
この駅を利用する旅客が居ません
No mail service
郵便輸送が提供されていません
This stop does not have mail customers
郵便輸送は利用されていません
Mail delivered
配達完了
The amount of mail successfully delivered from this stop
ここから発送された郵便物が無事に配達先まで配達された数
No route (mail)
配達不能
The amount of mail which could not find a route to its destination
郵便物の配達先がここからは配達できない場所であった数
%d%% delivered : %d%% no route
配達完了 %d%% : 配達不能 %d%%
Inactive
未稼働
Sector
産業分野
Commuters
通勤者
Consumers
消費者
Storage full
在庫が一杯です
Shipment stuck
生産停止（在庫飽和）
Material shortage
資材不足
No material
資材／商品がありません
stop_some_goods_arrival
一部入荷停止
Fully stocked
入荷停止（在庫飽和）
fab_stuck
生産停止（資材＆在庫飽和）
missing_connection
必要最低限の提携先がありません！
Within own network
自家輸送網内のみ表示
Show only connected to own transport network
アクティブプレイヤーの貨物輸送ネットワークに接続されている産業のみを表示します
Power usage
電力消費量
Power output
発電出力
Railcar_tab
気動車
cd_spec_tab
諸元
cd_payload_tab
積載情報
cd_maintenance_tab
メンテナンス
No load setting
回送（降車専用）に設定されています
Applied livery scheme: %s
選択中の塗装スキーム： %s
LOCO_SYM
L
Select vehicles to make up a convoy
リストから乗り物を選択し、編成を組成してください
Vehicle bar shape legends:
乗り物バー凡例：
helptxt_powered_vehicle
動力車
helptxt_unpowered_vehicle
非動力車
helptxt_one_direction
折り返し時に方向転換を必要とする先頭車両
helptxt_cab_head
先頭車両
helptxt_can_be_at_rear
最後尾車両
helptxt_intermediate
中間車両
%i month
%iヶ月
%i months
%iヶ月
Upgrade available
アップグレードが可能です
Upgrade is not available yet
将来アップグレードが可能になります
Upgrade will be available in the near future
近い将来アップグレードが可能になります
(mixed_load_prohibition)
（混載不可）
Cannot start: no cab at the front of the convoy.
編成の構成エラー：\n先頭になれない車両が先頭になっています。（運転台が無い等）
switch the convoy nameplate display mode
系統名表示モードの切り替え
switch_sb
信号機の接続先を変更
no convoy nameplate
系統名非表示
mouseover
マウスオーバーで表示
active player's line name
自社車両の系統名を常時表示
always show convoy name
全ての車両の系統名を常時表示
switch the convoy loading bar display mode
積載率表示モードの切り替え
no convoy loading bar
積載率バー非表示
mouseover loading bar
マウスオーバーで積載率バーを表示
active player's loading bar
自社車両の積載率バーを常時表示
always show loading bar
全ての車両の積載率バーを常時表示
map_btn_freight
輸送量
Stop coverage
駅の集客範囲
Show the distance to the nearest station
最寄りの駅までの距離をカラースケールで表示します。対象駅はフィルターで絞り込めます
Show contour
等高線を表示
Show buildings
建物を表示
Color-coded terrain according to altitude.
海抜高度に応じて地面／海面を色分けします
Displays buildings in gray and stations in red and have priority over bridges and tunnels
建物を灰色、駅を赤色で表示します。建物は橋やトンネルより優先表示されます。
Show how congested that roads are
道路の混雑度を表示します
Show convoys
編成を表示します
map_btn_building_level
発展度
sort_pas_arrived
旅客輸送実績
Scrap
車両を解体
Scrap all vehicles in the convoy.
編成中の車両を全て解体します。車両購入費用は一切戻ってきません。
Return the vehicle(s) for a full refund.
車両の購入はキャンセルされ、購入費用は全額返還されます。
Sell the convoy for %s
編成を %s にて売却します
Congestion: %i%%
混雑度: %i%%
Display loaded detail
積載情報の詳細を表示
Displays detailed information of the vehicle's load.
積載中の積荷の詳細情報の表示／非表示を切り替えます。
Selectable livery schemes
選択可能な塗装スキーム
Starting acceleration:
起動加速度:
(%.*ft laden)
(満載時 %.*ft)
(%.*f-%.*ft laden)
(満載時 %.*f-%.*ft)
Sell for %s
%sで売却
cl_btn_general
編成外観
cl_btn_payload
積載状況
cl_btn_formation
編成図
available_company_takeovers:
買収可能なプレイヤー会社：
allow_takeover_of_your_company
会社の買収を許可
take_over
買収
filter_pas_line
旅客取扱い路線
filter_mail_line
郵便取扱い路線
filter_freight_line
貨物取扱い路線
New shipping destination added to Factory %s
工場%sに新しい出荷先が追加されました
Loading (%i->%i%%) Long Time
積込待ち(%i->%i%%) 数か月以上
Vehicle %s wait loading too much!
%sは数か月に渡る積載待ちを行っています！
Productivity
生産性
(Max. %d%%)
（最大 %d%%）
Operation rate
稼働率
fl_btn_operation
稼働率
fl_btn_storage
在庫
Incoming shippment status of this item for this factory
この工場に対する同一製品の輸送状況
Shipment has been suspended due to consumption demand
供給過多につき出荷が停止されています
Suspension of new orders due to sufficient supply
供給過多につき新規受注は停止しています
Shipment is suspended
出荷停止
symbol_help_txt_lead_time
リードタイム
symbol_help_txt_in_transit
輸送中
station_capacity_freight
駅の貨物容量
Connections
提携先・接続駅
Goods chart
製品に関する統計
Production chart
生産性に関する統計
Building info.
建物情報
#hlptxt_factory_connected
#
consumption %.1f%s/month
月消費 %.1f%s
consumption %u%s/month
月消費 %u%s
production %.1f%s/month
月生産 %.1f%s
production %u%s/month
月生産 %u%s
only active player's
所有編成のみ
No service
運行されている編成がありません
Passengers/mail
旅客／郵便
Freight
貨物
Services
サービス
hd_wealth
所得層
hd_waiting
待機中
hd_transfers
乗換・移動中
hd_category
貨物品目分類
hd_transship
積替・搬出中
Needed
商品・資材需要
Products
生産品
twoway
対面通行
oneway
一方通行
prohibited
追越不可(対面)
do not change the mode for existing ways
既存の制限を維持
City growth is restrained
「街を発展させる」オプションがオフにされています
Select display font
フォントの変更
font size
フォントサイズ
Only full Unicode fonts
Unicode対応フォントに限定
Select a theme for display
UIテーマの変更
Theme selector
テーマ選択
vh_title
車両一覧
dp_title
車庫一覧
<h1>Error</h1><p><strong>
<h1>Error:オブジェクトの重複</h1><p><strong>
contains the following doubled objects:</strong><p>
<br>オブジェクト名が重複しているため、一方が上書きされます。<br>※Onlineプレイでエラーを引き起こす可能性があります！</strong></p>
Maximize height levels
高さレベルを最大化する
Show finances for transport type
部門
Copy to clipboard
クリップボードにコピー
Start this as a server
サーバーモードで開始
Map number: %d
マップ番号： %d
Hide/open all windows
全てのウィンドウを隠す／開く
Unsorted
ソート無し
Available:
製造期間：
Show future
登場予定
Show upgraded
改造車両を表示
GUI settings
GUI設定
map view
メイン画面設定
Num pad keys always move map
10キーでマップをスクロールする
Simple drawing
簡易描画
transparencies
透過表示設定
traffic settings
交通設定
Convoi following mode
編成追跡時のカメラ動作
Toolbar position:
ツールバー表示位置：
tooltip/coverage
ツールチップ／有効範囲
Grid
タイル表示
Brightness
ブライトネス
Map scroll
マップのスクロール操作
Station display
駅関連の表示
always show all
全て
only error convoys
問題のある車両のみ
only active player's
所有編成のみ
never show
表示しない
mouseover
マウスオーバーで表示
Convoy tooltips
編成のツールチップ設定
Nameplates
路線名表示
Loading bar
積載率表示
Tooltip
ステータス表示
Money message
編成の収入表示
The line name or convoy name is displayed above the convoy.
編成の頭上に路線名または編成名を表示します。
A loading rate bar is displayed above the convoy.
編成の頭上に積載率を示すインジケーターを表示します。
Income display displayed when convoy arrives at the stop.
編成が駅に到着した時に収入を表示します。
Divided by class
クラス毎に分割表示
Waiting bars are displayed separately for each class.
待機バーを各クラス毎に分割して表示します。
Unified
全ての貨物をまとめて表示
Divided by category
「貨物カテゴリ」毎に分割
Divided by goods
「商品」毎に分割
Select the behavior of the camera when the following convoy enters the tunnel.
追跡中の編成がトンネルに入った時のカメラの挙動を選択することができます。
do nothing
何もしない
Convoy ID
編成ID
name_plate
運行系統名／編成名
help_text_btn_line_name_plate
ゲーム画面の編成上に運行系統名（または編成名）を表示します
Shows the convoy unique ID
ゲーム画面の編成上に編成固有のID番号を表示します
sb_title
信号扱所一覧
sb_type
種類
sb_connected
接続数
by_region
地域
Allowed regions:
建設可能地域:
Trailers
被牽引車
<p>Continue by ESC, SPACE, or BACKSPACE.<br>
<p>[ESC] [SPACE] [BACKSPACE]、いずれかのキーでゲームを開始します。<br>
fl_btn_demand
商品需要
fl_btn_region
所在地
TOOL_SOUND
ツール類の音量
AMBIENT_SOUND
環境音の音量
CROSSING_SOUND
踏切警報音の音量
FACTORY_SOUND
産業の稼働音の音量
TRAFFIC_SOUND
乗り物の音量
CASH_SOUND
キャッシュ音の音量
Sound range:
音の聞こえる範囲
helptxt_filter_sb_has_vacant_slot
信号機を追加接続可能な信号扱所のみを表示します
Vacant slot
追加接続可能
own convoi tooltips
所有車両の状態を表示
%s mins. walking
徒歩 %s分
%s mins. travelling
所要 %s分
%s mins. waiting
待ち時間 %s分
Route_tab
接続駅
lb_served_goods_and_classes
取扱い貨物品目分類
Around passenger demands
駅周辺の旅客需要
Transportation status around this stop
駅周辺の輸送状況
hd_generated
需要
Success rate
達成率
Visiting trip
訪問移動
Commuting trip
通勤移動
hd_mailing
郵送
hd_btn_by_station
目的地別
hd_btn_by_category
貨物品目分類別
Return trip
復路行程
during the return trip of the mirror schedule
往復スケジュールの復路行程
Carrying out
搬出中
Undecided
未定
Line to
運行系統（降車駅）
Power: %4d kW\n
出力: %4d kW\n
cd_physics_tab
性能曲線
v-t graph
v-tグラフ
f-v graph
f-vグラフ
Acceleration(actual)
加速度（リアルタイム）
Acceleration(full load)
加速度（満載時）
Acceleration(empty)
加速度（空車時）
Running resistance
走行抵抗
time_to_top_speed:
加速時間:
distance_required_to_top_speed:
加速距離:
helptxt_starting_acceleration
性能指標の1つで速度0km/hの時の加速度
helptxt_actual_acceleration
積載重量や勾配等の現在の状況を反映した加速グラフを表示します
helptxt_v-t_graph
横軸が時間（秒）、縦軸が速度を表します。
helptxt_f-v_graph
横軸が速度、縦軸が力（駆動力／走行抵抗）を表します。
Acceleration graph when nothing is loaded on the convoy
無積載時の平坦な直線における加速グラフを表示します
helptxt_vt_graph_full_load
最大積載時の平坦な直線における加速グラフを表示します
helptxt_fv_graph_tractive_effort
速度と牽引力（加速力）の関係を表すグラフを表示します
Total force acting in the opposite direction of the convoy
乗り物の進行方向と逆向きに働く力（空気抵抗や転がり抵抗）の合計
helptxt_acceleration_time
平坦な直線で最高速度に到達するまでに要する時間
helptxt_acceleration_distance
平坦な直線で最高速度に到達するまでに要する距離
Unreachable
N/A
%.2f sec
%.2f 秒
Travel time and travel speed
所要時間と表定速度
Route average waiting time and speed evaluation
平均待機時間。カッコ内は起点駅到着時からこの目的地までの平均移動時間を速度換算したもの
Visitor arrivals
訪問者到着数
Commuter arrivals
通勤者到着数
Statistics
統計データ
Signalbox info.
信号扱所情報
Available at custom date
任意の登場年月に変更
Size (area)
敷地面積
Population/Visitor demand
人口／訪問者需要
Climate
気候
by_waiting_passengers
旅客待機数
by_waiting_mails
郵便待機数
by_waiting_goods
貨物待機数
hl_sort_tiles
敷地面積
hl_sort_capacity
収容数
hl_sort_overcrowding_rate
混雑度
by_potential_pax_number
旅客需要度
by_potential_mail_users
郵便需要度
by_pax_happy_last_month
先月の乗車数
by_mail_delivered_last_month
先月の郵便発送数
show_mutual_use
利用中の他社駅も表示
Also shows the stops of other players you are using
路線や編成が乗り入れをしている他社の駅も表示します
player_stats
会社情報
Signalboxes
信号扱所
way_distances
総延長
Electrified Distances
電化総延長
Active lines
稼働路線数
Signals/signs
信号／標識
Vehicles
車両
Total
合計
Monthly maintenance cost details
月間維持管理費用
Number of depots per way type, and those monthly maintenance costs.
乗り物タイプごとの車庫数と月管理費用
hlptxt_mf_stations
乗り物タイプごとの対応駅数と合計月管理費用
Number of signalboxes and total monthly maintenance costs.
所有信号扱所の総数と月管理費用
hlptxt_mf_way_distances
所有道路、滑走路、軌道、水路の総延長と月管理費用
hlptxt_mf_electrified_distances
電化総延長と月管理費用
Number of signals and signs per way type, and those monthly maintenance costs.
信号、標識の総数と月管理費用
Number of active lines per way type.
乗り物タイプごとの稼働中の路線数
Number of convoys per way type, and inactive convoys number in parentheses.
乗り物タイプごとの編成数。カッコ内は車庫に留置中の編成数
Number of vehicles per way type, and those monthly maintenance costs.
乗り物タイプごとの車両数と月あたり車両保存費
Vehicle not found
該当なし
One vehicle found
該当数: 1
%u vehicles found
該当数: %u
Open the fare calculation input field
運賃計算入力欄を開く
Show producers
資材・製品を生産する産業を表示します
Show consumers
資材・製品を消費する産業を表示します
Municipal way
市道
Private way
私道
%u cities
都市へのルート(%u)：
%u buildings
ランドマーク／産業へのルート(%u)：
The gradient does not fit a tunnel
斜面がトンネルを建設するのに適していません
Industry overlay
産業在庫量ツールチップ
Display bars above the factory to show the status
産業建築物の上部に在庫量を示すバーを表示します
can open a dedicated window by clicking on a private car.
自家用車をクリックすると専用の情報ウィンドウを開きます
can open a dedicated window by clicking on a pedestrian.
歩行者をクリックすると専用の情報ウィンドウを開きます
Date format
日時の表示形式
Show own depot names
プレイヤー所有の車庫名を表示する
Show the name of own depots in the main game window.
メインゲーム画面上にプレイヤーの車庫の名前を表示します
Information windows pop up control:
情報ウィンドウの表示許可設定：
helptxt_ground_info_toggler
占有されていないタイルをクリックすると土地情報を情報ウィンドウを開きます
helptxt_tree_info_toggler
樹木、岩石、鳥の群れなどのオブジェクトをクリックすると専用の情報ウィンドウを開きます
#_______________________________unnecessary_text________________________________
#_______________________________unnecessary_text________________________________
100 km/h = %i tiles/month
100 km/h = %i タイル/月
Passengers %d %c, %d %c, %d no route\n\nCapacity: %i\n
旅客 %d %c, %d %c, %d 経路なし\n\n定員/容量: %i\n
Passengers %d %c, %d %c, %d no route
旅客の評価 %d %c, %d %c, %d 経路無し
Passengers %d %s, %d %s, %d no route
旅客の評価 %d %s, %d %s, %d 経路無し
#Passengers %d %c, %d %c, %d no route, %d too slow
#旅客の評価 %d %c, %d %c, %d 経路無し, %d 許容時間超過
#Passengers %d %s, %d %s, %d no route, %d too slow
#旅客の評価 %d %s, %d %s, %d 経路無し, %d 許容時間超過
Unhappy
不幸せ
The number of passengers who have left because of overcrowding or excess waiting
混雑や駅での待ち時間のため旅行を取り止めた旅客の人数を表します。
Arbeiter aus:
労働者居住地:
No Route
経路無し
Usage/Output
使用量/発電量
Vehicle Name
車両名
Vehicle Power
出力
Power (MW)
電力 (MW)
Power: %4d kW\n
出力: %4d kW\n
#Show mail service coverage/mail network
#郵便事業が行われている範囲を表示
#Show passenger coverage/passenger network
#旅客事業が行われている範囲を表示
# mins. travelling
#分所要
# mins. waiting)
#分待ち)
#Odometer: %s km
#積算距離： %skm
#; %i km/h @ %.2f sec
#，%i km/h @ %.2f 秒
#; %i km/h @ %.2f - %.2f sec
#，%i km/h @ %.2f - %.2f 秒
#; %i km/h @ %.2f sec - %i km/h @ %.2f sec
#，%i km/h @ %.2f 秒 - %i km/h @ %.2f 秒
#%i_more_stops,_max_walking_time:_%s
#その他に%iヵ所の停留所/駅があり、最も遠い停留所/駅へは%s掛かります。
#No passenger stops within walking distance\n
#徒歩圏内に旅客駅/停留所はありません。\n
#\nNo postboxes within walking distance
#\n徒歩圏内に郵便ポスト/郵便局はありません。
#Passenger success rate last year (local):
#昨年の移動成功率(通勤):
#Passenger success rate last year (non-local):
#昨年の移動成功率(旅行):
#Passenger success rate this year (local):
#今年の移動成功率(通勤):
#Passenger success rate this year (non-local):
#今年の移動成功率(旅行):
#left
#所要
#cl_txt_sort
#並び替え:
#letzen Monat: diesen Monat:
#先月: 今月:
#\nMax. axle load:
#\n軸重制限:
#\nMax. weight:
#重量制限:
|
select name, id, role_name, type, role_type, description, assignable_scopes, permissions
from azure.azure_role_definition
where name = '{{ output.resource_id.value.split("/").pop() }}'
|
-- [er]create table with SET data type and insert nchar data
CREATE CLASS t1(
col1 SET
);
INSERT INTO t1 VALUES (N'aaa');
drop t1;
|
#1. FINDING TOP TRAFFIC SOURCES
SELECT
utm_source,
utm_campaign,
http_referer,
COUNT(DISTINCT website_session_id) AS sessions
FROM website_sessions
WHERE created_at < '2012-04-12'
GROUP BY
utm_source,
utm_campaign,
http_referer
ORDER BY sessions DESC
#2. TRAFFIC CONVERSION RATES
SELECT
#website_sessions.utm_source,
#website_sessions.utm_campaign,
COUNT(DISTINCT website_sessions.website_session_id) AS sessions,
COUNT(DISTINCT orders.order_id) AS orders,
COUNT(DISTINCT orders.order_id) / COUNT(DISTINCT website_sessions.website_session_id) AS session_to_order_conv_rt
FROM website_sessions
LEFT JOIN orders
ON orders.website_session_id = website_sessions.website_session_id
WHERE
website_sessions.utm_source = 'gsearch' AND
website_sessions.utm_campaign = 'nonbrand' AND
website_sessions.created_at < '2012-04-14'
GROUP BY
utm_source,
utm_campaign
#3. TRAFFIC SOURCE TRENDING
SELECT
#YEAR(created_at) as year,
#WEEK(created_at) as week,
MIN(DATE(created_at)) AS week_start,
COUNT(DISTINCT website_session_id) AS sessions
FROM website_sessions
WHERE
created_at < '2012-05-10' AND
utm_source = 'gsearch' AND
utm_campaign = 'nonbrand'
GROUP BY
YEAR(created_at),
WEEK(created_at)
#4. TRAFFIC SOURCE BID OPTIMIZATION
SELECT
website_sessions.device_type,
COUNT(DISTINCT website_sessions.website_session_id) AS sessions,
COUNT(DISTINCT orders.order_id) AS orders,
COUNT(DISTINCT orders.order_id) / COUNT(DISTINCT website_sessions.website_session_id) AS session_to_order_conv_rate
FROM website_sessions
LEFT JOIN orders
ON website_sessions.website_session_id = orders.website_session_id
WHERE
website_sessions.created_at < '2012-05-11' AND
utm_source = 'gsearch' AND
utm_campaign = 'nonbrand'
GROUP BY
website_sessions.device_type
#5. TRAFFIC SOURCE SEGMENT TRENDING
SELECT
MIN(DATE(created_at)) AS week_start_date,
COUNT(DISTINCT CASE WHEN device_type = 'desktop' THEN website_session_id ELSE NULL END) AS dtop_sessions,
COUNT(DISTINCT CASE WHEN device_type = 'mobile' THEN website_session_id ELSE NULL END) AS mob_sessions
FROM website_sessions
WHERE
(created_at BETWEEN '2012-04-15' AND '2012-06-09') AND
utm_source = 'gsearch' AND
utm_campaign = 'nonbrand'
GROUP BY
YEAR(created_at),
WEEK(created_at)
|
-- Copyright [1999-2015] Wellcome Trust Sanger Institute and the EMBL-European Bioinformatics Institute
--
-- Licensed under the Apache License, Version 2.0 (the "License");
-- you may not use this file except in compliance with the License.
-- You may obtain a copy of the License at
--
-- http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing, software
-- distributed under the License is distributed on an "AS IS" BASIS,
-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-- See the License for the specific language governing permissions and
-- limitations under the License.
# patch_40_41_c
#
# title: xref priority
#
# description:
# Add a priority column to the xref table
ALTER TABLE xref ADD COLUMN priority INT DEFAULT 1 NOT NULL;
# patch identifier
INSERT INTO meta (meta_key, meta_value) VALUES ('patch', 'patch_40_41_c.sql|xref_priority');
|
-- file:join.sql ln:1447 expect:true
SELECT * FROM b LEFT JOIN a ON (b.a_id = a.id) WHERE (a.id IS NULL OR a.id > 0)
|
USE [DefaultDBName]
GO
/****** Create the Stored Procedure for PM Template ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
DROP PROCEDURE IF EXISTS train_multiclass_nn
GO
-- =============================================
-- Author: <Author,,Name>
-- Create date: <Create Date,,>
-- Description: <Description,,>
-- =============================================
CREATE PROCEDURE [train_multiclass_nn]
AS
BEGIN
DECLARE @inquery NVARCHAR(max) = N'SELECT * FROM train_Features_Normalized';
EXEC sp_execute_external_script @language = N'R',
@script = N'
library(nnet)
train_table <- InputDataSet
train_table$label2 <- factor(train_table$label2, levels = c("0", "1", "2"))
train_vars <- rxGetVarNames(train_table)
train_vars <- train_vars[!train_vars %in% c("RUL", "label1", "id", "cycle_orig")]
####################################################################################################
## Find top 35 variables most correlated with label2
####################################################################################################
formula <- as.formula(paste("~", paste(train_vars, collapse = "+")))
correlation <- rxCor(formula = formula,
data = train_table,
transforms = list(label2 = as.numeric(label2)))
correlation <- correlation[, "label2"]
correlation <- abs(correlation)
correlation <- correlation[order(correlation, decreasing = TRUE)]
correlation <- correlation[-1]
correlation <- correlation[1:35]
formula <- as.formula(paste(paste("label2~"),
paste(names(correlation), collapse = "+")))
####################################################################################################
## Neural network regression modeling
####################################################################################################
nodes <- 10
weights <- nodes * (35 + 3) + nodes + 3
nnet_model <- nnet(formula = formula,
data = train_table,
Wts = rep(0.1, weights),
size = nodes,
decay = 0.005,
maxit = 100,
MaxNWts = weights)
nn <- data.frame(payload = as.raw(serialize(nnet_model, connection=NULL)))'
,@input_data_1 = @inquery
, @output_data_1_name = N'nn'
with result sets ((model varbinary(max)));
end;
GO
|
/* DEPOSIT MINES */
CREATE PROCEDURE procedure_miner_deposit(
IN this_user_no INTEGER,
IN this_amount double(20,2),
IN this_currency_type_id INTEGER
) BEGIN
INSERT INTO miner_deposit(
user_no ,
amount ,
currency_type_id
)VALUES(
this_user_no,
this_amount,
this_currency_type_id
);
END;
|
USE appdb;
CREATE TABLE event_stream (
`id` BIGINT(20) NOT NULL AUTO_INCREMENT PRIMARY KEY,
`aggregate_id` CHAR(36) NOT NULL,
`aggregate_version` INT(11) UNSIGNED NOT NULL,
`event_type` VARCHAR(100) NOT NULL,
`payload` JSON NOT NULL,
`created_at` DATETIME NOT NULL,
UNIQUE KEY `unique_aggregate_version` (`aggregate_id`,`aggregate_version`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_bin;
|
-- phpMyAdmin SQL Dump
-- version 5.0.2
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Feb 14, 2022 at 03:06 PM
-- Server version: 10.4.13-MariaDB
-- PHP Version: 7.2.32
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `pariwisata`
--
-- --------------------------------------------------------
--
-- Table structure for table `agama`
--
CREATE TABLE `agama` (
`agama_id` int(11) NOT NULL,
`nama_agama` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `agenda`
--
CREATE TABLE `agenda` (
`agenda_id` int(11) NOT NULL,
`agenda_nama` varchar(255) DEFAULT NULL,
`agenda_isi` text DEFAULT NULL,
`agenda_lokasi` text DEFAULT NULL,
`agenda_mulai` varchar(255) DEFAULT NULL,
`agenda_selesai` varchar(255) DEFAULT NULL,
`status` smallint(2) NOT NULL,
`agenda_photoid` varchar(255) DEFAULT NULL,
`agenda_latitude` varchar(255) DEFAULT NULL,
`agenda_longitude` varchar(255) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `agenda`
--
INSERT INTO `agenda` (`agenda_id`, `agenda_nama`, `agenda_isi`, `agenda_lokasi`, `agenda_mulai`, `agenda_selesai`, `status`, `agenda_photoid`, `agenda_latitude`, `agenda_longitude`) VALUES
(3, 'Pariaman Food Truck Festival', 'Pariaman food truck festival adalah acara yang dilaksanakan oleh Kota Pariaman setiap tahun nya di pantai Kata Pariaman', 'Lokasi Pantai Kata, Kota Pariaman', '2019-12-18', '2019-12-22', 1, '1573521885-WhatsApp Image 2019-11-12 at 06.56.02.jpeg', '-0.6464965', '100.1268444'),
(4, 'Open Fishing Tournament dalam Rangka Hari Nusantara 2019', 'Open Fishing Tournament dalam Rangka Hari Nusantara 2019 adalah ', 'Kota Padang dan Kota Pariaman, Sumbar', '2019-12-07', '2019-12-08', 1, '1573521800-WhatsApp Image 2019-11-12 at 06.56.03.jpeg', '-0.6464965', '100.1268444'),
(5, 'PARIAMAN INTERNATIONAL TRIATHLON 2019', 'IKUTI & SAKSIKAN!!\r\n\r\nPARIAMAN INTERNATIONAL TRIATHLON 2019', 'Pantai Kata, Pariaman', '2020-01-21', '2020-01-22', 1, 'triatlon.jpg', '12', '22');
-- --------------------------------------------------------
--
-- Table structure for table `biodata`
--
CREATE TABLE `biodata` (
`biodata_id` int(11) NOT NULL,
`NIK` int(16) DEFAULT NULL,
`NAMA_LGKP` varchar(60) COLLATE utf8_unicode_ci NOT NULL,
`JENIS_KLMIN` int(1) NOT NULL,
`TMPT_LHR` varchar(60) COLLATE utf8_unicode_ci NOT NULL,
`TGL_LHR` date NOT NULL,
`NO_AKTA_LHR` varchar(40) COLLATE utf8_unicode_ci DEFAULT NULL,
`GOL_DRH` int(3) NOT NULL,
`AGAMA` varchar(20) COLLATE utf8_unicode_ci NOT NULL,
`STAT_KWN` int(1) NOT NULL,
`STAT_HBKEL` int(2) DEFAULT NULL,
`PDDK_AKH` int(2) DEFAULT NULL,
`JENIS_PKRJN` int(2) DEFAULT NULL,
`TGL_ENTRI` date DEFAULT NULL,
`NO_KK` int(16) DEFAULT NULL,
`Nama_PROP` varchar(128) COLLATE utf8_unicode_ci DEFAULT NULL,
`Nama_KAB` varchar(128) COLLATE utf8_unicode_ci DEFAULT NULL,
`Nama_KEC` varchar(128) COLLATE utf8_unicode_ci DEFAULT NULL,
`Nama_KEL` varchar(128) COLLATE utf8_unicode_ci DEFAULT NULL,
`Nama_DS` varchar(128) COLLATE utf8_unicode_ci DEFAULT NULL,
`KEBANGSAAN` varchar(60) COLLATE utf8_unicode_ci DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `cagar_budaya`
--
CREATE TABLE `cagar_budaya` (
`cagar_id` int(11) NOT NULL,
`cagar_nama` varchar(100) DEFAULT NULL,
`cagar_detail` text DEFAULT NULL,
`cagar_alamat` text DEFAULT NULL,
`cagar_tahun` varchar(10) DEFAULT NULL,
`cagar_status` varchar(15) DEFAULT NULL,
`cagar_foto1` varchar(255) DEFAULT NULL,
`cagar_foto2` varchar(255) DEFAULT NULL,
`cagar_foto3` varchar(255) DEFAULT NULL,
`cagar_foto4` varchar(255) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `cagar_budaya`
--
INSERT INTO `cagar_budaya` (`cagar_id`, `cagar_nama`, `cagar_detail`, `cagar_alamat`, `cagar_tahun`, `cagar_status`, `cagar_foto1`, `cagar_foto2`, `cagar_foto3`, `cagar_foto4`) VALUES
(1, 'testing 2', 'sdasdsa', 'asdasdasd', '2021', '1', 'solar-system-minimalism-q1.jpg', 'solar-system-minimalism-q1.jpg', 'solar-system-minimalism-q1.jpg', 'solar-system-minimalism-q1.jpg');
-- --------------------------------------------------------
--
-- Table structure for table `destinasi_wisata`
--
CREATE TABLE `destinasi_wisata` (
`id_destinasi` int(11) NOT NULL,
`nama_destinasi` varchar(255) DEFAULT NULL,
`detail` text NOT NULL,
`keunggulan` text NOT NULL,
`fasilitas` text NOT NULL,
`alamat` text NOT NULL,
`latitude` varchar(255) DEFAULT NULL,
`longitude` varchar(255) DEFAULT NULL,
`tahun` int(5) NOT NULL,
`status` smallint(2) NOT NULL,
`foto` varchar(255) DEFAULT NULL,
`foto2` varchar(255) DEFAULT NULL,
`foto3` varchar(255) DEFAULT NULL,
`foto4` varchar(255) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `destinasi_wisata`
--
INSERT INTO `destinasi_wisata` (`id_destinasi`, `nama_destinasi`, `detail`, `keunggulan`, `fasilitas`, `alamat`, `latitude`, `longitude`, `tahun`, `status`, `foto`, `foto2`, `foto3`, `foto4`) VALUES
(17, 'Monumen TNI AL', '<p>Monumen TNI AL yang terletak di ujung muaro Pariaman, yang diresmikan oleh KSAL ini, menjadi Destinasi wisata sambil mengenang sejarah di Kota Pariaman</p>\r\n', 'Terletak di pantai gandoriah yang sangat dekat dengan perkotaan', '-', 'Pariaman, Indonesia', '-0.6230112', '100.1138609', 2020, 1, 'foto bersama di monumen ALRI.jpg', 'DJI_0107.jpg', 'DJI_0116.jpg', 'DJI_0105.jpg'),
(18, 'Pantai Gandoriah', '<p>Sebagai salah satu pantai favorit, pasir putih digunakan untuk berbagai kegiatan seperti pertemuan keluarga, senam, sepak bola, bola voli pantai, atau layang-layang terbang. Kemudian, jika Anda datang selama musim selancar, ada banyak klub selancar di pantai ini yang ingin membantu Anda mengendarai ombak eksotis itu.</p>\r\n\r\n<p>Asal usul nama Pantai Gandoriah memiliki kisah tersendiri. Gandoriah adalah nama seorang gadis dalam cerita rakyat Minangkabau. Menurut Kepala Kerjasama Pemasaran dan Pariwisata Kota Pariaman, Asnul Nazar, kisah ini semakin kurang dikenal masyarakat, kecuali oleh para sesepuh masyarakat. Kisah tersebut menceritakan perjalanan cinta seorang pemuda bernama Anggun Nan Tongga bersama Puti Gandoriah, yang tidak lain adalah sepupunya.<br />\r\nDikisahkan, Anggun Nan Tongga pergi berlayar mencari tiga mamak (paman) yang tidak pulang dari luar negeri. Pada perjalanan yang melewati banyak rintangan, Nan Tongga berhasil menemukan pamannya satu per satu. Karena pengkhianatan seorang teman yang pertama kali kembali ke kota asalnya, Puti Gandoriah mengira kekasihnya telah meninggal.<br />\r\nDalam kesedihannya, Puti Gandoriah memutuskan untuk bermeditasi di Gunung Ledang. Kisah ini berakhir tragis ketika Nan Tongga dan Puti Gandoriah bertemu lagi, tetapi harus menerima kenyataan bahwa mereka adalah saudara dan saudari yang tidak diperbolehkan menikah satu sama lain.</p>\r\n', '-', '-', 'Pasir, Pariaman Tengah, Kota Pariaman', '-0.6262856', '100.1128859', 2020, 1, 'DSC_0078.jpg', 'GANDORIAH.jpg', 'GANDORIAH 3.jpg', 'GANDORIAH 4.jpg'),
(19, 'Pantai Lohong', '<p>Di pantai ini ada taman khusus untuk Anas Malik. pemimpin lokal yang bertanggung jawab atas tata kelola di tingkat masyarakat. Taman ini dihiasi dengan deretan pohon kelapa berdaun dan memiliki pemandangan indah ke lautan India. Dekat dengan itu, ada daya tarik baru untuk anak yang disebut Pohon Rumah Pariaman dan sebuah monumen yang dikenal sebagai Taman Pemuda Asean.</p>\r\n', '-', '-', 'Kelurahan Lohong, Pariaman Tengah', '-0.6339177', '100.118613', 2020, 1, 'apriputra1@gmail.com.1.jpg', 'rian.desrian@gmail.com.3.jpg', 'taman anas malik (7).jpg', 'pembangunan taman dan pendestrian dari kawasan pantai lohong sampai pantai cermin (6).jpg'),
(20, 'Pantai Cermin', '<p>Terletak di pantai kota Pariaman paling selatan, pantai ini membentang di desa Karan Aur dan Taluak. Kata itu sendiri adalah singkatan dari nama dua desa yang berdekatan. Menawarkan panorama pantai alami yang masih asri dan alami, pantai ini cocok untuk Anda yang gemar beraktifitas berjalan. Selain itu, bagi pecinta olahraga bersepeda, pantai ini juga merupakan pilihan yang pas.</p>\r\n', '-', '-', 'Kelurahan Karan Aur, Pariaman Tengah', '-0.6355229', '100.1199944', 2020, 1, 'rian.desrian@gmail.com.2.jpg', 'ariyadii28.08@gmail.com.2.jpg', 'DSC_0032ed.jpg', 'DSC_0081.jpg'),
(21, 'Pantai Kata', '<p>Terletak di pantai kota Pariaman paling selatan, pantai ini membentang di desa Karan Aur dan Taluak. Kata itu sendiri adalah singkatan dari nama dua desa yang berdekatan. Menawarkan panorama pantai alami yang masih asri dan alami, pantai ini cocok untuk Anda yang gemar beraktifitas berjalan. Selain itu, bagi pecinta olahraga bersepeda, pantai ini juga merupakan pilihan yang pas.</p>\r\n', '-', '-', 'Kelurahan Karan Aur, Pariaman Tengah', '-0.6464965', '100.1268444', 2020, 1, 'DSC_0017.jpg', 'DSC_0009.jpg', 'DSC_0063ed.jpg', 'DSC_0059ed.jpg');
-- --------------------------------------------------------
--
-- Table structure for table `fasilitas_hotel`
--
CREATE TABLE `fasilitas_hotel` (
`fh_id` int(11) NOT NULL,
`fh_hotel` int(11) DEFAULT NULL,
`fh_ac` int(2) DEFAULT NULL,
`fh_kolam_renang` int(2) DEFAULT NULL,
`fh_tempat_parkir` int(2) DEFAULT NULL,
`fh_wifi` int(2) DEFAULT NULL,
`fh_restorant` int(2) DEFAULT NULL,
`fh_resepsionis` int(2) DEFAULT NULL,
`fh_transportasi` int(2) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `fasilitas_hotel`
--
INSERT INTO `fasilitas_hotel` (`fh_id`, `fh_hotel`, `fh_ac`, `fh_kolam_renang`, `fh_tempat_parkir`, `fh_wifi`, `fh_restorant`, `fh_resepsionis`, `fh_transportasi`) VALUES
(2, 4, 1, 1, 1, 1, 1, 2, 0),
(3, 5, 1, 1, 2, 1, 2, 1, 0);
-- --------------------------------------------------------
--
-- Table structure for table `fasilitas_kamar_hotel`
--
CREATE TABLE `fasilitas_kamar_hotel` (
`fkh_id` int(11) NOT NULL,
`kh_id` int(11) DEFAULT NULL,
`fkh_kategori_kamar` int(11) NOT NULL,
`fkh_balkon` int(2) DEFAULT NULL,
`fkh_coffe_maker` int(2) DEFAULT NULL,
`fkh_ac` int(2) DEFAULT NULL,
`fkh_hot_water` int(2) DEFAULT NULL,
`fkh_wifi` int(2) DEFAULT NULL,
`fkh_sarapan` int(2) DEFAULT NULL,
`fkh_shower` int(2) DEFAULT NULL,
`fkh_tv` int(2) DEFAULT NULL,
`fkh_kulkas` int(2) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `fasilitas_kamar_hotel`
--
INSERT INTO `fasilitas_kamar_hotel` (`fkh_id`, `kh_id`, `fkh_kategori_kamar`, `fkh_balkon`, `fkh_coffe_maker`, `fkh_ac`, `fkh_hot_water`, `fkh_wifi`, `fkh_sarapan`, `fkh_shower`, `fkh_tv`, `fkh_kulkas`) VALUES
(7, 5, 0, 1, 1, 1, 2, 2, 2, 1, 1, 1),
(8, 4, 0, 2, 1, 1, 1, 1, 2, 1, 1, 1);
-- --------------------------------------------------------
--
-- Table structure for table `hotel`
--
CREATE TABLE `hotel` (
`hotel_id` int(11) NOT NULL,
`h_nama` varchar(255) DEFAULT NULL,
`h_alamat` text DEFAULT NULL,
`h_telp` varchar(12) DEFAULT NULL,
`tahun` int(5) NOT NULL,
`status` smallint(2) NOT NULL,
`foto` varchar(255) DEFAULT NULL,
`foto2` varchar(255) DEFAULT NULL,
`foto3` varchar(255) DEFAULT NULL,
`foto4` varchar(255) DEFAULT NULL,
`h_latitude` varchar(255) DEFAULT NULL,
`h_longitude` varchar(255) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `hotel`
--
INSERT INTO `hotel` (`hotel_id`, `h_nama`, `h_alamat`, `h_telp`, `tahun`, `status`, `foto`, `foto2`, `foto3`, `foto4`, `h_latitude`, `h_longitude`) VALUES
(4, 'Nan Tongga Beach', 'Pasir, Pariaman Tengah, Kota Pariaman,', '(0751) 91666', 2020, 1, 'nan tongga.jpg', 'nan tongga 3.jpg', 'nan tongga 2.jpg', 'nan tongga 4.jpg', '-0.6237813', '100.1143587'),
(5, 'Hotel Kasandra', 'Jl. Wolter Monginsidi, Kp. Gadang, Pariaman Tim., Kota Pariaman', '(0751) 91111', 2020, 1, 'kasandra.jpg', 'kasandra.jpg', 'kasandra.jpg', 'kasandra.jpg', '-0.601977', '100.1254248,15'),
(6, 'Hotel Madinah', 'Jl. Kol. H. Anas Malik, Kp. Gadang, Pariaman Tim., Kota Pariaman', ' (021) 29707', 2020, 1, 'madina 1.jpg', 'madina 3.jpg', 'madina 2.jpg', 'madina 4.jpg', '-0.6019564', '100.125218,15');
-- --------------------------------------------------------
--
-- Table structure for table `kamar_hotel`
--
CREATE TABLE `kamar_hotel` (
`kh_id` int(11) NOT NULL,
`kh_hotel` int(11) DEFAULT NULL,
`kh_nama` varchar(255) DEFAULT NULL,
`kh_luas_kamar` varchar(255) DEFAULT NULL,
`kh_jenis_bed` int(11) DEFAULT NULL,
`kh_harga` int(11) DEFAULT NULL,
`kh_sisa_kamar` int(11) DEFAULT NULL,
`kh_jumlah_tamu` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `kamar_hotel`
--
INSERT INTO `kamar_hotel` (`kh_id`, `kh_hotel`, `kh_nama`, `kh_luas_kamar`, `kh_jenis_bed`, `kh_harga`, `kh_sisa_kamar`, `kh_jumlah_tamu`) VALUES
(4, 4, '5', '30m x 34m', 3, 500000, 12, 5),
(5, 4, '1', '22m x 44m', 2, 250000, 10, 3),
(6, 4, '2', '30m x 34m', 1, 250000, 9, 2),
(7, 4, '3', '20m x 45m', 1, 250000, 5, 3),
(8, 4, '4', '22m x 44m', 2, 350000, 5, 2);
-- --------------------------------------------------------
--
-- Table structure for table `kategori_bed`
--
CREATE TABLE `kategori_bed` (
`id_bed` int(11) NOT NULL,
`nama_bed` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `kategori_bed`
--
INSERT INTO `kategori_bed` (`id_bed`, `nama_bed`) VALUES
(1, 'Twin Bed'),
(2, 'Single Bed'),
(3, 'King Bed'),
(4, 'Double Bed');
-- --------------------------------------------------------
--
-- Table structure for table `kategori_kamar`
--
CREATE TABLE `kategori_kamar` (
`id_kamar` int(11) NOT NULL,
`nama_kamaar` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `kategori_kamar`
--
INSERT INTO `kategori_kamar` (`id_kamar`, `nama_kamaar`) VALUES
(1, 'Standar Room'),
(2, 'Superior Room'),
(3, 'Deluxe Room'),
(4, 'Junior Sweet Room'),
(5, 'Sweet Room'),
(6, 'Presidental Suit');
-- --------------------------------------------------------
--
-- Table structure for table `kecamatan`
--
CREATE TABLE `kecamatan` (
`kecamatan_id` int(11) NOT NULL,
`nama_kec` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`kd_kecamatan` int(2) DEFAULT NULL,
`id_kota` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `kerajinan`
--
CREATE TABLE `kerajinan` (
`kerajinan_id` int(11) NOT NULL,
`kerajinan_jenis` varchar(255) DEFAULT NULL,
`kerajinan_usaha` varchar(255) DEFAULT NULL,
`kerajinan_pemilik` varchar(255) DEFAULT NULL,
`kerajinan_alamat` varchar(255) DEFAULT NULL,
`kerajinan_telepon` varchar(20) DEFAULT NULL,
`kerajinan_keterangan` varchar(255) DEFAULT NULL,
`kerajinan_foto1` varchar(255) NOT NULL,
`kerajinan_foto2` varchar(255) NOT NULL,
`latitude` varchar(255) NOT NULL,
`longitude` varchar(255) NOT NULL,
`tahun` int(5) NOT NULL,
`status` smallint(2) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `kerajinan`
--
INSERT INTO `kerajinan` (`kerajinan_id`, `kerajinan_jenis`, `kerajinan_usaha`, `kerajinan_pemilik`, `kerajinan_alamat`, `kerajinan_telepon`, `kerajinan_keterangan`, `kerajinan_foto1`, `kerajinan_foto2`, `latitude`, `longitude`, `tahun`, `status`) VALUES
(3, '2', 'Sulaman Upik Mayang', 'Fitrinawati(Upik)', 'Desa Padang Birik-birik, Kec. Pariaman Utara', '0813 7428 6204', 'Aneka Produk Sulman( Tas, Dalamak, Pakaian, Hiasan Dinding, dan Souvenir', '', '', '', '', 2019, 1);
-- --------------------------------------------------------
--
-- Table structure for table `kuliner`
--
CREATE TABLE `kuliner` (
`id_kuliner` int(11) NOT NULL,
`nama` varchar(100) DEFAULT NULL,
`foto` varchar(255) DEFAULT NULL,
`keterangan` text NOT NULL,
`tahun` int(5) NOT NULL,
`status` smallint(2) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `kuliner`
--
INSERT INTO `kuliner` (`id_kuliner`, `nama`, `foto`, `keterangan`, `tahun`, `status`) VALUES
(4, 'NASIK SEK', 'nasi.jpg', '<p>SEK merupakan singkatan dari Seribu Kenyang. Karena dulunya nasi SEK memang dijual murah serta mengenyangkan Kini tak ada yang berubah sih dengan Nasi SEK, baik penyajian maupun lauk pauknya masih sama, yang berubah hanya tarif saja. Untuk menikmati Nasi SEK cukup datang ke Pantai Gandoriah, karena disana banyak warung-warung makan yang menyediakannya.</p>\r\n', 2020, 1),
(5, 'Sala Lauakk', '1580353708-sala.jpg', '<p>Bagi warga Kota Pariaman, Sumatera Barat, <strong><em>sala lauak</em></strong> atau lauk merupakan salah satu penganan pelengkap saat menyantap sarapan</p>\r\n', 2020, 1);
-- --------------------------------------------------------
--
-- Table structure for table `login`
--
CREATE TABLE `login` (
`login_id` int(11) NOT NULL,
`id_user` int(11) DEFAULT NULL,
`id_KAB` int(2) DEFAULT NULL,
`id_KEC` int(2) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dumping data for table `login`
--
INSERT INTO `login` (`login_id`, `id_user`, `id_KAB`, `id_KEC`) VALUES
(1, 3, 1, 1),
(2, 4, 1, 1),
(3, NULL, 77, 1),
(4, 24, 77, 3),
(5, 25, 77, 1),
(6, 35, 77, 1),
(7, 63, 77, 2);
-- --------------------------------------------------------
--
-- Table structure for table `map`
--
CREATE TABLE `map` (
`idmap` int(11) NOT NULL,
`latitude` varchar(45) NOT NULL,
`longtitude` varchar(45) NOT NULL,
`alamat` varchar(100) NOT NULL,
`npsn` varchar(8) NOT NULL,
`image` varchar(100) NOT NULL,
`created_at` datetime DEFAULT NULL,
`updated_at` datetime DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `map`
--
INSERT INTO `map` (`idmap`, `latitude`, `longtitude`, `alamat`, `npsn`, `image`, `created_at`, `updated_at`) VALUES
(2, '-7.7777356', '110.3649118', 'JL. AM. SANGAJI 47, Cokrodiningratan, Kec. Jetis, Kota Yogyakarta Prop. D.I. Yogyakarta', '20403280', 'uploads/smk 2 yogyakarta.jpg', '2016-11-03 21:27:16', '2016-11-17 09:19:11'),
(3, '-7.7930025', '110.3554427', 'Jalan Kemetiran Kidul No.60, 001, Gedong Tengen, Kota Yogyakarta, Daerah Istimewa Yogyakarta 55272', '20404180', 'uploads/Smk n 1.jpg', '2016-11-08 20:23:20', '2016-11-08 20:23:20'),
(4, '-7.777709', '110.3637483', 'Jl. R.W. Monginsidi 2 Yogyakarta ', '20404181', 'uploads/nopicture.png', '2016-11-15 21:43:55', '2016-11-15 21:43:55'),
(5, '-7.821191', '110.3836643', 'Jl. Sidikan 60 YK \\r\\n', '20403282', 'uploads/nopicture.png', '2016-11-15 21:45:39', '2016-11-17 09:08:52'),
(6, '-7.7977363', '110.3803202', 'Jl. Kenari no. 4 Yk \\r\\n', '20404182', 'uploads/nopicture.png', '2016-11-15 21:48:11', '2016-11-15 21:48:11'),
(7, '-7.800817', '110.3931672', 'Jl. Kenari no. 71 Yk \\r\\n', '20403283', 'uploads/nopicture.png', '2016-11-17 08:27:06', '2016-11-17 09:20:22'),
(8, '-7.7894827', '110.3844901', 'Jl. Gowongan Kidul JT III/ 416 Yk \\r\\n', '20403295', 'uploads/nopicture.png', '2016-11-17 09:10:16', '2016-11-17 09:10:16');
-- --------------------------------------------------------
--
-- Table structure for table `migration`
--
CREATE TABLE `migration` (
`version` varchar(180) NOT NULL,
`apply_time` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `migration`
--
INSERT INTO `migration` (`version`, `apply_time`) VALUES
('m000000_000000_base', 1542182388),
('m130524_201442_init', 1542182391),
('m181119_065915_tb_setting_tandatangan', 1542611079),
('m181121_032545_tb_daerah', 1542850727),
('m181122_010325_tb_provinsi', 1542849754),
('m181122_010335_tb_kota', 1542849754),
('m181122_010342_tb_kecamatan', 1542849754),
('m181122_010356_tb_desa', 1542849755),
('m181122_010520_tb_dusun', 1542849755),
('m181122_011752_tb_kk', 1543292290),
('m181122_011805_tb_penduduk', 1543292292),
('m181122_011811_tb_ktp', 1543292292),
('m181122_034546_tb_seting_kop', 1542858489),
('m181126_030959_tb_jenis_surat', 1543201872),
('m181127_020312_tb_data_keluarga', 1543291782),
('m181127_030010_tb_biodata_wni', 1543291783),
('m181127_140721_tb_biodata', 1543372638),
('m181128_015202_tb_surat', 1543372820),
('m181128_023010_tb_nik_surat', 1543372821),
('m181130_095718_tb_pendidikan', 1544407145),
('m181130_095737_tb_jenis_pekerjaan', 1544407145),
('m181210_015548_tb_keluarga', 1544407146),
('m181216_005549_tb_kk_luar', 1545011256),
('m181217_013652_tb_pend_luar', 1545011258),
('m181225_135756_tb_login', 1545747463),
('m181225_140840_tb_adm_desa', 1545747463),
('m181228_082410_tb_pekerjaan', 1545985595),
('m181229_035835_tb_hub_kel', 1546415058),
('m190102_003606_tb_agama', 1546415058),
('m190107_013000_tb_ultah', 1546824947),
('m190109_103517_tb_golda', 1547030238),
('m190109_103533_tb_statk', 1547030238),
('m190116_081035_tb_jenis_kelamin', 1547626374),
('m190116_081719_tb_stat_nik', 1547626675);
-- --------------------------------------------------------
--
-- Table structure for table `posts`
--
CREATE TABLE `posts` (
`id` int(11) NOT NULL,
`title` varchar(200) NOT NULL,
`content` text NOT NULL,
`category` varchar(100) NOT NULL,
`created_date` date NOT NULL,
`update_date` date NOT NULL,
`status` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `posts`
--
INSERT INTO `posts` (`id`, `title`, `content`, `category`, `created_date`, `update_date`, `status`) VALUES
(3, 'testing 1', '<p>testing aplikasi</p>\r\n', 'umum', '2022-02-14', '2022-02-14', '1');
-- --------------------------------------------------------
--
-- Table structure for table `profil`
--
CREATE TABLE `profil` (
`prof_id` int(11) NOT NULL,
`prof_judul` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`prof_gambar` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`prof_isi` text COLLATE utf8_unicode_ci DEFAULT NULL,
`slug` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`prof_status` smallint(2) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dumping data for table `profil`
--
INSERT INTO `profil` (`prof_id`, `prof_judul`, `prof_gambar`, `prof_isi`, `slug`, `prof_status`) VALUES
(1, 'Profil PPID Kota Pariaman', '1540025908-bg.jpg', '<p>Salah satu elemen penting dalam mewujudkan penyelenggaraan negara yang terbuka adalah hak publik untuk memperoleh Informasi sesuai dengan peraturan perundang¬undangan. Hak atas Informasi menjadi sangat penting karena makin terbuka penyelenggaraan negara untuk diawasi publik, penyelenggaraan negara tersebut makin dapat dipertanggungjawabkan. Hak setiap Orang untuk memperoleh Informasi juga relevan untuk meningkatkan kualitas pelibatan masyarakat dalam proses pengambilan keputusan publik. Partisipasi atau pelibatan masyarakat tidak banyak berarti tanpa jaminan keterbukaan Informasi Publik.</p>\r\n\r\n<p>Keberadaan Undang-undang tentang Keterbukaan Informasi Publik sangat penting sebagai landasan hukum yang berkaitan dengan :</p>\r\n\r\n<blockquote>\r\n<ol>\r\n <li><em>hak setiap Orang untuk memperoleh Informasi</em></li>\r\n <li><em>kewajiban Badan Publik menyediakan dan melayani permintaan Informasi secara cepat, tepat waktu, biaya ringan/proporsional, dan cara sederhana</em></li>\r\n <li><em>pengecualian bersifat ketat dan terbatas</em></li>\r\n <li><em>kewajiban Badan Publik untuk membenahi sistem dokumentasi dan pelayanan Informasi</em></li>\r\n</ol>\r\n</blockquote>\r\n\r\n<p> </p>\r\n\r\n<p>Setiap Badan Publik mempunyai kewajiban untuk membuka akses atas Informasi Publik yang berkaitan dengan Badan Publik tersebut untuk masyarakat luas. Lingkup Badan Publik dalam Undang-undang ini meliputi lembaga eksekutif, yudikatif, legislatif, serta penyelenggara negara lainnya yang mendapatkan dana dari Anggaran Pendapatan dan Belanja Negara (APBN)/Anggaran Pendapatan dan Belanja Daerah (APBD) dan mencakup pula organisasi nonpemerintah, baik yang berbadan hukum maupun yang tidak berbadan hukum, seperti lembaga swadaya masyarakat, perkumpulan, serta organisasi lainnya yang mengelola atau menggunakan dana yang sebagian atau seluruhnya bersumber dari APBN/APBD, sumbangan masyarakat, dan/atau luar negeri.</p>\r\n\r\n<p>Sesuai dengan amanat pasal 13 UU No.14 Tahun 2008, Kementerian Komunikasi sebagai salah satu Badan Publik telah membentuk Pejabat Pengelola Informasi dan Dokumentasi (PPID) melalui Keputusan Menteri Komunikasi dan Informatika Nomor 117 Tahun 2010 Tentang Organisasi Pengelola Informasi dan Dokumentasi. Dengan terbentuknya PPID pemohon informasi sesuai dengan haknya dapat memperoleh informasi public yang dihasilkan oleh Kementerian Komunikasi dan Informatika sesuai dengan ketentuan dalam UU No. 14 Tahun 2008.</p>\r\n', 'profil-ppid-kota-pariaman', 1),
(2, 'Visi dan Misi serta Program Unggulan', NULL, '', 'visi-dan-misi-serta-program-unggulan', 1),
(3, 'Struktur Organisasi', NULL, '', 'struktur-organisasi', 1),
(4, 'Pejabat Struktural Organisasi', NULL, '', 'pejabat-struktural-organisasi', 1),
(5, 'Kontak PPID', NULL, '', 'kontak-ppid', 1);
-- --------------------------------------------------------
--
-- Table structure for table `restoran`
--
CREATE TABLE `restoran` (
`restoran_id` int(11) NOT NULL,
`restoran_nama` varchar(50) DEFAULT NULL,
`restoran_alamat` text DEFAULT NULL,
`restoran_telepon` varchar(50) DEFAULT NULL,
`restoran_detail` text DEFAULT NULL,
`restoran_menu` varchar(255) NOT NULL,
`restoran_photo` varchar(255) DEFAULT NULL,
`restoran_pemilik` varchar(50) DEFAULT NULL,
`restoran_latitude` varchar(255) DEFAULT NULL,
`restoran_longitude` varchar(255) DEFAULT NULL,
`tahun` int(5) NOT NULL,
`status` smallint(2) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `restoran`
--
INSERT INTO `restoran` (`restoran_id`, `restoran_nama`, `restoran_alamat`, `restoran_telepon`, `restoran_detail`, `restoran_menu`, `restoran_photo`, `restoran_pemilik`, `restoran_latitude`, `restoran_longitude`, `tahun`, `status`) VALUES
(1, 'Kuretangin', 'Jalan Sentot Ali Basa No.11 Kel. Jati Mudik Kec. Pariaman Tengah Kota Pariaman Sumatera Barat 25519 Indonesia', '0813-6355-5444', 'Kuretangin berdiri sejak Tahun 2005 berlokasi di Jalan sentot alibasa Kelurahan jati Kecamatan pariaman timur Kota Pariaman. Kuretangin siap bersaing dengan bisnis - bisnis sejenisnya di area Kota Pariaman. Jika memerlukan informasi mengenai kuretangin, silahkan hubungi kami di nomor telepon yang tertera pada website.', '', 'DSC_0320.jpg', '-', '-0.6175234', '100.1359736', 2019, 1);
-- --------------------------------------------------------
--
-- Table structure for table `tb_akses`
--
CREATE TABLE `tb_akses` (
`akses_id` int(11) NOT NULL,
`akses_destinasi` varchar(255) NOT NULL,
`akses_transportasi` varchar(255) NOT NULL,
`akses_distance` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tb_akses`
--
INSERT INTO `tb_akses` (`akses_id`, `akses_destinasi`, `akses_transportasi`, `akses_distance`) VALUES
(1, 'Padang - Pariaman', 'Bus, Taxi', '1,5 Hours'),
(2, 'Minangkabau Airport - Pariaman', 'Taxi, Car', '30 Minute'),
(3, 'Padang - Pariaman', 'Train', '1,5 Hours'),
(4, 'Jakarta - Minangkabau Airport', 'Plane', '1,5 Hours');
-- --------------------------------------------------------
--
-- Table structure for table `tb_atm`
--
CREATE TABLE `tb_atm` (
`atm_id` int(11) NOT NULL,
`atm_nama` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`atm_nama_bank` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`atm_alamat` text COLLATE utf8_unicode_ci NOT NULL,
`atm_latitude` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`atm_longitude` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`tahun` int(5) NOT NULL,
`status` smallint(2) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dumping data for table `tb_atm`
--
INSERT INTO `tb_atm` (`atm_id`, `atm_nama`, `atm_nama_bank`, `atm_alamat`, `atm_latitude`, `atm_longitude`, `tahun`, `status`) VALUES
(1, 'ATM BNI SPBU Jati', 'BNI', 'Jalan Bypass Jati, Cimparuh, Pariaman Tengah, Kota Pariaman', '-0.6278626', '100.153057', 2020, 1),
(2, 'ATM BNI Diponegoro', 'BNI', 'Jalan Diponegoro No. 34, Kampung Pondok, Pariaman Tengah, Kota Pariaman', '-0.6233633', '100.1110881', 2020, 1),
(3, 'ATM BNI RSUD Pariaman', 'BNI', 'Kampung Pondok, Pariaman Tengah, Kota Pariaman', '-0.6313668', '100.1168019', 2020, 1),
(4, 'ATM BRI Nana Swalayan', 'BRI', 'Jati Mudik, Pariaman Tengah, Kota Pariaman', '-0.6278197', '100.153014', 2020, 1),
(5, 'ARM BRI Kantor Cabang Pariaman', 'BRI', 'Jalan Merdeka No. 21 Pasir, Pariaman Tengah, Kota Pariaman', '-0.6252635', '100.1086872', 2020, 1),
(6, 'ATM Bank Nagari Kantor Walikota Pariaman', 'Bank Nagari', 'Jalan Imam Bonjol No. 44, Pariaman Tengah, Kota Pariaman', '-0.6278197', '100.153014', 2020, 1),
(7, 'ATM Bank Nagari - 05BAS1', 'Bank Nagari', 'Jalan Jendral Sudirman No. 25, Pariaman Tengah, Kota Pariaman', '-0.6254418', '100.1115595', 2020, 1),
(8, 'ATM Bank Nagari - 710401', 'Bank Nagari', 'Kantor Bank Nagari Capem Syariah Pariaman, Jalan Pahlawan No. 21, Kota Pariaman', '-0.623837', '100.1127216', 2020, 1);
-- --------------------------------------------------------
--
-- Table structure for table `tb_berita`
--
CREATE TABLE `tb_berita` (
`berita_id` int(11) NOT NULL,
`berita_foto` text COLLATE utf8_unicode_ci NOT NULL,
`berita_judul` text COLLATE utf8_unicode_ci NOT NULL,
`berita_isi` text COLLATE utf8_unicode_ci NOT NULL,
`berita_tanggal` datetime NOT NULL,
`berita_hit` int(11) DEFAULT NULL,
`slug` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`berita_status` smallint(3) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dumping data for table `tb_berita`
--
INSERT INTO `tb_berita` (`berita_id`, `berita_foto`, `berita_judul`, `berita_isi`, `berita_tanggal`, `berita_hit`, `slug`, `berita_status`) VALUES
(4, '1582513411-berita.jpg', 'Pemko Pariaman Study Tiru ke Mesjid Paripurna Kota Pekanbaru', '<p>Pemko Pariaman Study Tiru ke Mesjid Paripurna Kota Pekanbaru Pemko Pariaman Study Tiru ke Mesjid Paripurna Kota Pekanbaru Pemko Pariaman Study Tiru ke Mesjid Paripurna Kota Pekanbaru Pemko Pariaman Study Tiru ke Mesjid Paripurna Kota Pekanbaru Pemko Pariaman Study Tiru ke Mesjid Paripurna Kota Pekanbaru Pemko Pariaman Study Tiru ke Mesjid Paripurna Kota Pekanbaru Pemko Pariaman Study Tiru ke Mesjid Paripurna Kota Pekanbaru</p>\r\n', '2020-02-24 00:00:00', 19, 'pemko-pariaman-study-tiru-ke-mesjid-paripurna-kota-pekanbaru', 1);
-- --------------------------------------------------------
--
-- Table structure for table `tb_masjid`
--
CREATE TABLE `tb_masjid` (
`m_id` int(11) NOT NULL,
`m_nama` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`m_alamat` text COLLATE utf8_unicode_ci NOT NULL,
`m_latitude` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`m_longitude` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`tahun` int(5) NOT NULL,
`status` smallint(2) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dumping data for table `tb_masjid`
--
INSERT INTO `tb_masjid` (`m_id`, `m_nama`, `m_alamat`, `m_latitude`, `m_longitude`, `tahun`, `status`) VALUES
(1, 'Masjid Raya Kota Pariaman', 'Jl. Bagindo Aziz Chan No.56, Kp. Perak, Pariaman Tengah, Kota Pariaman', '-0.6201344', '100.1365504', 0, 1);
-- --------------------------------------------------------
--
-- Table structure for table `tb_namakamar`
--
CREATE TABLE `tb_namakamar` (
`namakamar_id` int(11) NOT NULL,
`namakamar` varchar(255) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `tb_parkir`
--
CREATE TABLE `tb_parkir` (
`p_id` int(11) NOT NULL,
`p_nama` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`p_alamat` text COLLATE utf8_unicode_ci NOT NULL,
`p_latitude` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`p_longitude` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`p_status` int(3) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dumping data for table `tb_parkir`
--
INSERT INTO `tb_parkir` (`p_id`, `p_nama`, `p_alamat`, `p_latitude`, `p_longitude`, `p_status`) VALUES
(1, 'Lokasi Parkir Rinaldo', 'Pasir, Pariaman Tengah', '-0.6266202', '100.1160767', 1);
-- --------------------------------------------------------
--
-- Table structure for table `tb_pemesanan`
--
CREATE TABLE `tb_pemesanan` (
`pemesanan_id` int(11) NOT NULL,
`pemesanan_hotel_id` int(11) DEFAULT NULL,
`pemesanan_checkin` datetime DEFAULT NULL,
`pemesanan_durasi` varchar(50) DEFAULT NULL,
`pemesanan_tamu_dewasa` int(2) DEFAULT NULL,
`pemesanan_tamu_anak` int(2) DEFAULT NULL,
`pemesanan_jumlah_kamar` int(2) DEFAULT NULL,
`pemesanan_total` double DEFAULT NULL,
`pemesanan_nama` varchar(255) DEFAULT NULL,
`pemesanan_notelp` varchar(50) DEFAULT NULL,
`pemesanan_email` varchar(50) DEFAULT NULL,
`pemesanan_status` int(2) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tb_pemesanan`
--
INSERT INTO `tb_pemesanan` (`pemesanan_id`, `pemesanan_hotel_id`, `pemesanan_checkin`, `pemesanan_durasi`, `pemesanan_tamu_dewasa`, `pemesanan_tamu_anak`, `pemesanan_jumlah_kamar`, `pemesanan_total`, `pemesanan_nama`, `pemesanan_notelp`, `pemesanan_email`, `pemesanan_status`) VALUES
(14, 4, '2020-07-05 00:00:00', '2', 2, 1, 1, NULL, 'sindi', '088052258558', 'sindi@gmail.com', 1),
(15, 5, '2020-07-10 00:00:00', '1', 1, 1, 1, NULL, 'gina', '0812', 'gina@gmail.com', 1);
-- --------------------------------------------------------
--
-- Table structure for table `tb_rs`
--
CREATE TABLE `tb_rs` (
`rs_id` int(11) NOT NULL,
`rs_nama` text COLLATE utf8_unicode_ci NOT NULL,
`rs_alamat` text COLLATE utf8_unicode_ci NOT NULL,
`rs_latitude` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`rs_longitude` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`rs_status` smallint(3) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dumping data for table `tb_rs`
--
INSERT INTO `tb_rs` (`rs_id`, `rs_nama`, `rs_alamat`, `rs_latitude`, `rs_longitude`, `rs_status`) VALUES
(1, 'RSUD Pariaman', 'Jalan Prof. Yamin SH No. 5, Kampung Baru, Pariaman Tengah, Kota Pariaman', '-0.6308976', '100.123669', 0),
(2, 'RS Tamar Medical Centre Pariaman', 'Jl. Basuki Rahmat No.1, Karan Aur, Pariaman Tengah, Kota Pariaman', '-0.6384196', '100.1268327', 0);
-- --------------------------------------------------------
--
-- Table structure for table `tb_spbu`
--
CREATE TABLE `tb_spbu` (
`spbu_id` int(11) NOT NULL,
`spbu_nama` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`spbu_alamat` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`spbu_latitude` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`spbu_longitude` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`tahun` int(5) NOT NULL,
`status` smallint(2) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dumping data for table `tb_spbu`
--
INSERT INTO `tb_spbu` (`spbu_id`, `spbu_nama`, `spbu_alamat`, `spbu_latitude`, `spbu_longitude`, `tahun`, `status`) VALUES
(1, 'SPBU 14.255590 Pertamina', 'Toboh Gadang, Sintuk Toboh Gadang, Kabupaten Padang Pariaman', '-0.6670129', '100.2362926', 0, 1),
(2, 'SPBU Toboh Pertamina', 'Jalan Imam Bonjol, Toboh Palabah, Pariaman Selatan, Kota Pariaman', '-0.6260591', '100.1629116', 0, 1),
(3, 'SPBU Jati', 'Jalan Wolter Monginsidi, Jati Mudik, Pariaman Tengah, Kota Pariaman', '-0.6211331', '100.1444618', 0, 1),
(4, 'SPBU Kampung Pondok', 'Kampung Pondok, Pariaman Tengah, Kota Pariaman', '-0.6219988', '100.121572', 0, 1),
(5, 'SPBU Padang Birik-Birik', 'Padang Birik-Birik, Pariaman Utara, Kota Pariaman', '-0.5636678', '100.1089151', 0, 1);
-- --------------------------------------------------------
--
-- Table structure for table `user`
--
CREATE TABLE `user` (
`id` int(11) NOT NULL,
`username` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`auth_key` varchar(32) COLLATE utf8_unicode_ci NOT NULL,
`password_hash` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`password_reset_token` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`email` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`level` int(11) NOT NULL,
`status` smallint(6) NOT NULL DEFAULT 10,
`desa` int(11) DEFAULT NULL,
`nama_desa` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`created_at` int(11) NOT NULL,
`updated_at` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dumping data for table `user`
--
INSERT INTO `user` (`id`, `username`, `auth_key`, `password_hash`, `password_reset_token`, `email`, `level`, `status`, `desa`, `nama_desa`, `created_at`, `updated_at`) VALUES
(1, 'admin', 'xf4pQy3jjZprinN31u2nLZm_WgdIvidX', '$2y$13$BQP54tWmYAqnH3kWUNDbPOZCLRcNhlDgmiOhs1AIdLuulnxx/IXX6', NULL, 'adm@gmail.com', 1, 10, 0, '', 1565422383, 1542264946),
(2, 'pariwisata', 'j9DAxkbrOnZnN-Lvm2xUREDNOVcZ-ITa', '$2y$13$jFf5iwo7NkHauHeLzpD8fOZR5z4l29iyuuEcZBYojoxHdCfJwV8dy', NULL, '', 2, 10, NULL, '', 1591845085, 0);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `agama`
--
ALTER TABLE `agama`
ADD PRIMARY KEY (`agama_id`);
--
-- Indexes for table `agenda`
--
ALTER TABLE `agenda`
ADD PRIMARY KEY (`agenda_id`);
--
-- Indexes for table `biodata`
--
ALTER TABLE `biodata`
ADD PRIMARY KEY (`biodata_id`);
--
-- Indexes for table `cagar_budaya`
--
ALTER TABLE `cagar_budaya`
ADD PRIMARY KEY (`cagar_id`);
--
-- Indexes for table `destinasi_wisata`
--
ALTER TABLE `destinasi_wisata`
ADD PRIMARY KEY (`id_destinasi`);
--
-- Indexes for table `fasilitas_hotel`
--
ALTER TABLE `fasilitas_hotel`
ADD PRIMARY KEY (`fh_id`);
--
-- Indexes for table `fasilitas_kamar_hotel`
--
ALTER TABLE `fasilitas_kamar_hotel`
ADD PRIMARY KEY (`fkh_id`);
--
-- Indexes for table `hotel`
--
ALTER TABLE `hotel`
ADD PRIMARY KEY (`hotel_id`);
--
-- Indexes for table `kamar_hotel`
--
ALTER TABLE `kamar_hotel`
ADD PRIMARY KEY (`kh_id`),
ADD KEY `kh_jenis_bed` (`kh_jenis_bed`);
--
-- Indexes for table `kategori_bed`
--
ALTER TABLE `kategori_bed`
ADD PRIMARY KEY (`id_bed`);
--
-- Indexes for table `kategori_kamar`
--
ALTER TABLE `kategori_kamar`
ADD PRIMARY KEY (`id_kamar`);
--
-- Indexes for table `kecamatan`
--
ALTER TABLE `kecamatan`
ADD PRIMARY KEY (`kecamatan_id`),
ADD KEY `fk_kecamatan_kota` (`id_kota`);
--
-- Indexes for table `kerajinan`
--
ALTER TABLE `kerajinan`
ADD PRIMARY KEY (`kerajinan_id`);
--
-- Indexes for table `kuliner`
--
ALTER TABLE `kuliner`
ADD PRIMARY KEY (`id_kuliner`);
--
-- Indexes for table `login`
--
ALTER TABLE `login`
ADD PRIMARY KEY (`login_id`),
ADD KEY `fk_login_user` (`id_user`);
--
-- Indexes for table `map`
--
ALTER TABLE `map`
ADD PRIMARY KEY (`idmap`),
ADD KEY `idx-map-npsn` (`npsn`);
--
-- Indexes for table `migration`
--
ALTER TABLE `migration`
ADD PRIMARY KEY (`version`);
--
-- Indexes for table `posts`
--
ALTER TABLE `posts`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `profil`
--
ALTER TABLE `profil`
ADD PRIMARY KEY (`prof_id`);
--
-- Indexes for table `restoran`
--
ALTER TABLE `restoran`
ADD PRIMARY KEY (`restoran_id`);
--
-- Indexes for table `tb_akses`
--
ALTER TABLE `tb_akses`
ADD PRIMARY KEY (`akses_id`);
--
-- Indexes for table `tb_atm`
--
ALTER TABLE `tb_atm`
ADD PRIMARY KEY (`atm_id`);
--
-- Indexes for table `tb_berita`
--
ALTER TABLE `tb_berita`
ADD PRIMARY KEY (`berita_id`);
--
-- Indexes for table `tb_masjid`
--
ALTER TABLE `tb_masjid`
ADD PRIMARY KEY (`m_id`);
--
-- Indexes for table `tb_namakamar`
--
ALTER TABLE `tb_namakamar`
ADD PRIMARY KEY (`namakamar_id`);
--
-- Indexes for table `tb_parkir`
--
ALTER TABLE `tb_parkir`
ADD PRIMARY KEY (`p_id`);
--
-- Indexes for table `tb_pemesanan`
--
ALTER TABLE `tb_pemesanan`
ADD PRIMARY KEY (`pemesanan_id`);
--
-- Indexes for table `tb_rs`
--
ALTER TABLE `tb_rs`
ADD PRIMARY KEY (`rs_id`);
--
-- Indexes for table `tb_spbu`
--
ALTER TABLE `tb_spbu`
ADD PRIMARY KEY (`spbu_id`);
--
-- Indexes for table `user`
--
ALTER TABLE `user`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `username` (`username`),
ADD UNIQUE KEY `password_reset_token` (`password_reset_token`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `agama`
--
ALTER TABLE `agama`
MODIFY `agama_id` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `agenda`
--
ALTER TABLE `agenda`
MODIFY `agenda_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT for table `biodata`
--
ALTER TABLE `biodata`
MODIFY `biodata_id` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `cagar_budaya`
--
ALTER TABLE `cagar_budaya`
MODIFY `cagar_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `destinasi_wisata`
--
ALTER TABLE `destinasi_wisata`
MODIFY `id_destinasi` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=22;
--
-- AUTO_INCREMENT for table `fasilitas_hotel`
--
ALTER TABLE `fasilitas_hotel`
MODIFY `fh_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `fasilitas_kamar_hotel`
--
ALTER TABLE `fasilitas_kamar_hotel`
MODIFY `fkh_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=9;
--
-- AUTO_INCREMENT for table `hotel`
--
ALTER TABLE `hotel`
MODIFY `hotel_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT for table `kamar_hotel`
--
ALTER TABLE `kamar_hotel`
MODIFY `kh_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=9;
--
-- AUTO_INCREMENT for table `kategori_bed`
--
ALTER TABLE `kategori_bed`
MODIFY `id_bed` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT for table `kategori_kamar`
--
ALTER TABLE `kategori_kamar`
MODIFY `id_kamar` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT for table `kecamatan`
--
ALTER TABLE `kecamatan`
MODIFY `kecamatan_id` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `kerajinan`
--
ALTER TABLE `kerajinan`
MODIFY `kerajinan_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `kuliner`
--
ALTER TABLE `kuliner`
MODIFY `id_kuliner` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT for table `login`
--
ALTER TABLE `login`
MODIFY `login_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT for table `map`
--
ALTER TABLE `map`
MODIFY `idmap` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=9;
--
-- AUTO_INCREMENT for table `posts`
--
ALTER TABLE `posts`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `profil`
--
ALTER TABLE `profil`
MODIFY `prof_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT for table `restoran`
--
ALTER TABLE `restoran`
MODIFY `restoran_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `tb_akses`
--
ALTER TABLE `tb_akses`
MODIFY `akses_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `tb_atm`
--
ALTER TABLE `tb_atm`
MODIFY `atm_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=9;
--
-- AUTO_INCREMENT for table `tb_berita`
--
ALTER TABLE `tb_berita`
MODIFY `berita_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `tb_masjid`
--
ALTER TABLE `tb_masjid`
MODIFY `m_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `tb_namakamar`
--
ALTER TABLE `tb_namakamar`
MODIFY `namakamar_id` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `tb_parkir`
--
ALTER TABLE `tb_parkir`
MODIFY `p_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `tb_pemesanan`
--
ALTER TABLE `tb_pemesanan`
MODIFY `pemesanan_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=16;
--
-- AUTO_INCREMENT for table `tb_rs`
--
ALTER TABLE `tb_rs`
MODIFY `rs_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT for table `tb_spbu`
--
ALTER TABLE `tb_spbu`
MODIFY `spbu_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT for table `user`
--
ALTER TABLE `user`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `kamar_hotel`
--
ALTER TABLE `kamar_hotel`
ADD CONSTRAINT `kamar_hotel_ibfk_1` FOREIGN KEY (`kh_jenis_bed`) REFERENCES `kategori_bed` (`id_bed`) ON DELETE CASCADE ON UPDATE CASCADE;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
/* interactive-complex-9 */
select p_personid, p_firstname, p_lastname,
m_messageid, COALESCE(m_ps_imagefile,'')||COALESCE(m_content,''), m_creationdate
from
( select k_person2id
from knows
where
k_person1id = 4398046516895
union
select k2.k_person2id
from knows k1, knows k2
where
k1.k_person1id = 4398046516895 and k1.k_person2id = k2.k_person1id and k2.k_person2id <> 4398046516895
) f, person, message
where
p_personid = m_creatorid and p_personid = f.k_person2id and
m_creationdate < '2012-03-17 08:00:00'
order by m_creationdate desc, m_messageid asc
limit 20;
|
-- @testpoint: interval分区,ALTER TABLE DROP PARTITION删除预定义分区
drop table if exists my_ptb1;
create table my_ptb1(
col_1 smallint,
col_2 char(30),
col_3 int,
col_4 date,
col_5 boolean,
col_6 nchar(30),
col_7 float
)
partition by range (col_4) interval ('1 month')
(partition my_ptb1_p1 values less than ('2020-03-01'),
partition my_ptb1_p2 values less than ('2020-04-01'));
insert into my_ptb1 values (1,'aaa',1,'2020-02-23',true,'aaa',1.1);
insert into my_ptb1 values (2,'bbb',2,'2020-03-23',false,'bbb',2.2);
insert into my_ptb1 values (3,'ccc',3,'2020-04-23',true,'ccc',3.3);
insert into my_ptb1 values (4,'ddd',4,'2020-05-23',false,'ddd',4.4);
select * from my_ptb1;
select relname, parttype, partstrategy, boundaries,reltablespace from pg_partition
where parentid = (select oid from pg_class where relname = 'my_ptb1') order by relname;
alter table my_ptb1 drop partition my_ptb1_p1;
alter table my_ptb1 drop partition my_ptb1_p2;
alter table my_ptb1 drop partition for ('2020-04-01');
select relname, parttype, partstrategy, boundaries,reltablespace from pg_partition
where parentid = (select oid from pg_class where relname = 'my_ptb1') order by relname;
select * from my_ptb1;
drop table if exists my_ptb1;
|
SET NAMES utf8;
SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for `hfish_colony`
-- ----------------------------
DROP TABLE IF EXISTS `hfish_colony`;
CREATE TABLE `hfish_colony` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`agent_name` varchar(20) NOT NULL DEFAULT '',
`agent_ip` varchar(20) NOT NULL DEFAULT '',
`web_status` int(2) NOT NULL DEFAULT '0',
`deep_status` int(2) NOT NULL DEFAULT '0',
`ssh_status` int(2) NOT NULL DEFAULT '0',
`redis_status` int(2) NOT NULL DEFAULT '0',
`mysql_status` int(2) NOT NULL DEFAULT '0',
`http_status` int(2) NOT NULL DEFAULT '0',
`telnet_status` int(2) NOT NULL DEFAULT '0',
`ftp_status` int(2) NOT NULL DEFAULT '0',
`mem_cache_status` int(2) NOT NULL DEFAULT '0',
`plug_status` int(2) NOT NULL DEFAULT '0',
`es_status` int(2) NOT NULL DEFAULT '0',
`tftp_status` int(2) NOT NULL DEFAULT '0',
`vnc_status` int(2) NOT NULL DEFAULT '0',
`custom_status` int(2) NOT NULL DEFAULT '0',
`last_update_time` datetime NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `un_agent` (`agent_name`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Table structure for `hfish_info`
-- ----------------------------
DROP TABLE IF EXISTS `hfish_info`;
CREATE TABLE `hfish_info` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`type` varchar(20) NOT NULL DEFAULT '',
`project_name` varchar(20) NOT NULL DEFAULT '',
`agent` varchar(20) NOT NULL DEFAULT '',
`ip` varchar(20) NOT NULL DEFAULT '',
`intelligence` text NOT NULL DEFAULT '';
`country` varchar(10) NOT NULL DEFAULT '',
`region` varchar(10) NOT NULL DEFAULT '',
`city` varchar(10) NOT NULL,
`info` text NOT NULL,
`info_len` int(11) NOT NULL,
`create_time` datetime NOT NULL,
PRIMARY KEY (`id`),
KEY `info_index_1` (`type`) USING BTREE,
KEY `info_index_2` (`country`) USING BTREE,
KEY `info_index_3` (`type`,`create_time`) USING BTREE,
KEY `info_index_4` (`ip`) USING BTREE,
KEY `info_index_5` (`agent`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Table structure for `hfish_passwd`
-- ----------------------------
DROP TABLE IF EXISTS `hfish_passwd`;
CREATE TABLE `hfish_passwd` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`type` varchar(50) NOT NULL DEFAULT '',
`account` varchar(50) NOT NULL DEFAULT '',
`password` varchar(50) NOT NULL DEFAULT '',
`create_time` datetime NOT NULL,
PRIMARY KEY (`id`),
KEY `index_key_1` (`account`) USING BTREE,
KEY `index_key_2` (`password`) USING BTREE,
KEY `index_key_3` (`type`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Table structure for `hfish_setting`
-- ----------------------------
DROP TABLE IF EXISTS `hfish_setting`;
CREATE TABLE `hfish_setting` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`type` varchar(50) NOT NULL DEFAULT '',
`info` text,
`update_time` datetime NOT NULL,
`status` int(2) NOT NULL DEFAULT '0',
`setting_name` varchar(50) NOT NULL DEFAULT '',
`setting_dis` varchar(50) NOT NULL DEFAULT '',
PRIMARY KEY (`id`),
UNIQUE KEY `index_key` (`type`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8mb4;
-- ----------------------------
-- Records of `hfish_setting`
-- ----------------------------
BEGIN;
INSERT INTO `hfish_setting` VALUES ('1', 'mail', '', '2019-09-02 20:15:00', '0', 'E-mail 群发', '群发邮件SMTP服务器配置'), ('2', 'alertMail', '', '2019-09-02 18:58:12', '0', 'E-mail 通知', '蜜罐告警会通过邮件告知信息'), ('3', 'webHook', '', '2019-09-03 11:49:00', '0', 'WebHook 通知', '蜜罐告警会请求指定API告知信息'), ('4', 'whiteIp', '', '2019-09-02 20:15:00', '0', 'IP 白名单', '蜜罐上钩会过滤掉白名单IP'), ('5', 'passwdTM', '', '2020-02-24 12:04', '0', '密码脱敏', '发送邮件如果有密码内容自动加星'), ('6', 'apikey', '', '2020-11-10 22:45', '0', 'API Key', '微步在线X情报社区API Key'), ('7', 'syslog', '', '2020-11-11 17:02', '0', 'Syslog 通知', '蜜罐告警会通过Syslog告知信息');
COMMIT;
SET FOREIGN_KEY_CHECKS = 1;
|
WITH
--Generate equal sized buckets in log-space between near 0 Mbps and ~1 Gbps+
buckets AS (
SELECT POW(10, x-.25) AS bucket_left, POW(10,x+.25) AS bucket_right
FROM UNNEST(GENERATE_ARRAY(0, 3.5, .5)) AS x
),
--Select the initial set of tests
dl_per_location AS (
SELECT
date,
client.Geo.ContinentCode AS continent_code,
client.Network.ASNumber AS asn,
NET.SAFE_IP_FROM_STRING(Client.IP) AS ip,
id,
a.MeanThroughputMbps AS mbps,
a.MinRTT AS MinRTT
FROM `measurement-lab.ndt.unified_downloads`
WHERE date BETWEEN @startdate AND @enddate
AND a.MeanThroughputMbps != 0
),
--Filter for only tests With good locations and valid IPs
dl_per_location_cleaned AS (
SELECT * FROM dl_per_location
WHERE
continent_code IS NOT NULL
AND continent_code != ""
AND asn IS NOT NULL
AND ip IS NOT NULL
),
--Fingerprint all cleaned tests, in an arbitrary but repeatable order
dl_fingerprinted AS (
SELECT
date,
continent_code,
asn,
ip,
ARRAY_AGG(STRUCT(ABS(FARM_FINGERPRINT(id)) AS ffid, mbps, MinRTT) ORDER BY ABS(FARM_FINGERPRINT(id))) AS members
FROM dl_per_location_cleaned
GROUP BY date, continent_code, asn, ip
),
--Select two random rows for each IP using a prime number larger than the
-- total number of tests. random1 is used for per day/geo statistics in
-- `dl_stats_per_day` and log averages using both random1 and random2
dl_random_ip_rows_perday AS (
SELECT
date,
continent_code,
asn,
ip,
ARRAY_LENGTH(members) AS tests,
members[SAFE_OFFSET(MOD(511232941,ARRAY_LENGTH(members)))] AS random1,
members[SAFE_OFFSET(MOD(906686609,ARRAY_LENGTH(members)))] AS random2
FROM dl_fingerprinted
),
--Calculate log averages and statistics per day from random samples
dl_stats_per_day AS (
SELECT
date, continent_code, asn,
COUNT(*) AS dl_samples_day,
ROUND(POW(10,AVG(Safe.LOG10(random1.mbps))),3) AS dl_LOG_AVG_rnd1,
ROUND(POW(10,AVG(Safe.LOG10(random2.mbps))),3) AS dl_LOG_AVG_rnd2,
ROUND(POW(10,AVG(Safe.LOG10(random1.MinRtt))),3) AS dl_minRTT_LOG_AVG_rnd1,
ROUND(POW(10,AVG(Safe.LOG10(random2.MinRtt))),3) AS dl_minRTT_LOG_AVG_rnd2,
ROUND(MIN(random1.mbps),3) AS download_MIN,
ROUND(APPROX_QUANTILES(random1.mbps, 100) [SAFE_ORDINAL(25)],3) AS download_Q25,
ROUND(APPROX_QUANTILES(random1.mbps, 100) [SAFE_ORDINAL(50)],3) AS download_MED,
ROUND(AVG(random1.mbps),3) AS download_AVG,
ROUND(APPROX_QUANTILES(random1.mbps, 100) [SAFE_ORDINAL(75)],3) AS download_Q75,
ROUND(MAX(random1.mbps),3) AS download_MAX,
ROUND(APPROX_QUANTILES(random1.MinRTT, 100) [SAFE_ORDINAL(50)],3) AS download_minRTT_MED,
FROM dl_random_ip_rows_perday
GROUP BY continent_code, asn, date
),
--Count the samples that fall into each bucket and get frequencies
dl_histogram AS (
SELECT
date,
continent_code,
asn,
--Set the lowest bucket's min to zero, so all tests below the generated min of the lowest bin are included.
CASE WHEN bucket_left = 0.5623413251903491 THEN 0
ELSE bucket_left END AS bucket_min,
bucket_right AS bucket_max,
COUNTIF(random1.mbps < bucket_right AND random1.mbps >= bucket_left) AS dl_samples_bucket,
ROUND(COUNTIF(random1.mbps < bucket_right AND random1.mbps >= bucket_left) / COUNT(*), 3) AS dl_frac_bucket
FROM dl_random_ip_rows_perday CROSS JOIN buckets
GROUP BY
date,
continent_code,
asn,
bucket_min,
bucket_max
),
--Repeat for Upload tests
--Select the initial set of tests
ul_per_location AS (
SELECT
date,
client.Geo.ContinentCode AS continent_code,
client.Network.ASNumber AS asn,
NET.SAFE_IP_FROM_STRING(Client.IP) AS ip,
id,
a.MeanThroughputMbps AS mbps,
a.MinRTT AS MinRTT
FROM `measurement-lab.ndt.unified_uploads`
WHERE date BETWEEN @startdate AND @enddate
AND a.MeanThroughputMbps != 0
),
--Filter for only tests With good locations and valid IPs
ul_per_location_cleaned AS (
SELECT * FROM ul_per_location
WHERE
continent_code IS NOT NULL
AND continent_code != ""
AND asn IS NOT NULL
AND ip IS NOT NULL
),
--Fingerprint all cleaned tests, in an arbitrary but repeatable order.
ul_fingerprinted AS (
SELECT
date,
continent_code,
asn,
ip,
ARRAY_AGG(STRUCT(ABS(FARM_FINGERPRINT(id)) AS ffid, mbps, MinRTT) ORDER BY ABS(FARM_FINGERPRINT(id))) AS members
FROM ul_per_location_cleaned
GROUP BY date, continent_code, asn, ip
),
--Select two random rows for each IP using a prime number larger than the
-- total number of tests. random1 is used for per day/geo statistics in
-- `ul_stats_per_day` and log averages using both random1 and random2
ul_random_ip_rows_perday AS (
SELECT
date,
continent_code,
asn,
ip,
ARRAY_LENGTH(members) AS tests,
members[SAFE_OFFSET(MOD(511232941,ARRAY_LENGTH(members)))] AS random1,
members[SAFE_OFFSET(MOD(906686609,ARRAY_LENGTH(members)))] AS random2
FROM ul_fingerprinted
),
--Calculate log averages and statistics per day from random samples
ul_stats_per_day AS (
SELECT
date, continent_code, asn,
COUNT(*) AS ul_samples_day,
ROUND(POW(10,AVG(Safe.LOG10(random1.mbps))),3) AS ul_LOG_AVG_rnd1,
ROUND(POW(10,AVG(Safe.LOG10(random2.mbps))),3) AS ul_LOG_AVG_rnd2,
ROUND(POW(10,AVG(Safe.LOG10(random1.MinRtt))),3) AS ul_minRTT_LOG_AVG_rnd1,
ROUND(POW(10,AVG(Safe.LOG10(random2.MinRtt))),3) AS ul_minRTT_LOG_AVG_rnd2,
ROUND(MIN(random1.mbps),3) AS upload_MIN,
ROUND(APPROX_QUANTILES(random1.mbps, 100) [SAFE_ORDINAL(25)],3) AS upload_Q25,
ROUND(APPROX_QUANTILES(random1.mbps, 100) [SAFE_ORDINAL(50)],3) AS upload_MED,
ROUND(AVG(random1.mbps),3) AS upload_AVG,
ROUND(APPROX_QUANTILES(random1.mbps, 100) [SAFE_ORDINAL(75)],3) AS upload_Q75,
ROUND(MAX(random1.mbps),3) AS upload_MAX,
ROUND(APPROX_QUANTILES(random1.MinRTT, 100) [SAFE_ORDINAL(50)],3) AS upload_minRTT_MED,
FROM ul_random_ip_rows_perday
GROUP BY continent_code, asn, date
),
--Count the samples that fall into each bucket and get frequencies
ul_histogram AS (
SELECT
date,
continent_code,
asn,
--Set the lowest bucket's min to zero, so all tests below the generated min of the lowest bin are included.
CASE WHEN bucket_left = 0.5623413251903491 THEN 0
ELSE bucket_left END AS bucket_min,
bucket_right AS bucket_max,
COUNTIF(random1.mbps < bucket_right AND random1.mbps >= bucket_left) AS ul_samples_bucket,
ROUND(COUNTIF(random1.mbps < bucket_right AND random1.mbps >= bucket_left) / COUNT(*), 3) AS ul_frac_bucket
FROM ul_random_ip_rows_perday CROSS JOIN buckets
GROUP BY
date,
continent_code,
asn,
bucket_min,
bucket_max
),
--Gather final result set
results AS (
SELECT *, MOD(ABS(FARM_FINGERPRINT(continent_code)), 1000) as shard FROM
dl_histogram
JOIN ul_histogram USING (date, continent_code, asn, bucket_min, bucket_max)
JOIN dl_stats_per_day USING (date, continent_code, asn)
JOIN ul_stats_per_day USING (date, continent_code, asn)
)
--Show the results
SELECT * FROM results
|
USE [DemoCluster]
GO
CREATE TABLE [Cluster].[OrleansQuery] (
[QueryKey] VARCHAR (64) NOT NULL,
[QueryText] VARCHAR (8000) NOT NULL,
CONSTRAINT [OrleansQuery_Key] PRIMARY KEY CLUSTERED ([QueryKey] ASC)
)
GO
CREATE TABLE [Cluster].[OrleansMembershipVersionTable]
(
[DeploymentId] NVARCHAR(150) NOT NULL,
[Timestamp] DATETIME2(3) NOT NULL DEFAULT GETUTCDATE(),
[Version] INT NOT NULL DEFAULT 0,
CONSTRAINT [PK_OrleansMembershipVersionTable_DeploymentId] PRIMARY KEY([DeploymentId])
)
GO
CREATE TABLE [Cluster].[OrleansMembershipTable]
(
[DeploymentId] NVARCHAR(150) NOT NULL,
[Address] VARCHAR(45) NOT NULL,
[Port] INT NOT NULL,
[Generation] INT NOT NULL,
[SiloName] NVARCHAR(150) NOT NULL,
[HostName] NVARCHAR(150) NOT NULL,
[Status] INT NOT NULL,
[ProxyPort] INT NULL,
[SuspectTimes] VARCHAR(8000) NULL,
[StartTime] DATETIME2(3) NOT NULL,
[IAmAliveTime] DATETIME2(3) NOT NULL,
CONSTRAINT [PK_MembershipTable_DeploymentId] PRIMARY KEY([DeploymentId], [Address], [Port], [Generation]),
CONSTRAINT [FK_MembershipTable_MembershipVersionTable_DeploymentId] FOREIGN KEY ([DeploymentId]) REFERENCES [Cluster].[OrleansMembershipVersionTable] ([DeploymentId])
)
GO
CREATE TABLE [Cluster].[OrleansRemindersTable]
(
[ServiceId] NVARCHAR(150) NOT NULL,
[GrainId] VARCHAR(150) NOT NULL,
[ReminderName] NVARCHAR(150) NOT NULL,
[StartTime] DATETIME2(3) NOT NULL,
[Period] INT NOT NULL,
[GrainHash] INT NOT NULL,
[Version] INT NOT NULL,
CONSTRAINT [PK_RemindersTable_ServiceId_GrainId_ReminderName] PRIMARY KEY([ServiceId], [GrainId], [ReminderName])
)
GO
CREATE TABLE [Cluster].[OrleansStatisticsTable]
(
[OrleansStatisticsTableId] INT IDENTITY(1,1) NOT NULL,
[DeploymentId] NVARCHAR(150) NOT NULL,
[Timestamp] DATETIME2(3) NOT NULL DEFAULT GETUTCDATE(),
[Id] NVARCHAR(250) NOT NULL,
[HostName] NVARCHAR(150) NOT NULL,
[Name] NVARCHAR(150) NOT NULL,
[IsValueDelta] BIT NOT NULL,
[StatValue] NVARCHAR(1024) NOT NULL,
[Statistic] NVARCHAR(512) NOT NULL,
CONSTRAINT [StatisticsTable_StatisticsTableId] PRIMARY KEY([OrleansStatisticsTableId])
)
GO
CREATE TABLE [Cluster].[OrleansClientMetricsTable]
(
[DeploymentId] NVARCHAR(150) NOT NULL,
[ClientId] NVARCHAR(150) NOT NULL,
[Timestamp] DATETIME2(3) NOT NULL DEFAULT GETUTCDATE(),
[Address] VARCHAR(45) NOT NULL,
[HostName] NVARCHAR(150) NOT NULL,
[CpuUsage] FLOAT NOT NULL,
[MemoryUsage] BIGINT NOT NULL,
[SendQueueLength] INT NOT NULL,
[ReceiveQueueLength] INT NOT NULL,
[SentMessages] BIGINT NOT NULL,
[ReceivedMessages] BIGINT NOT NULL,
[ConnectedGatewayCount] BIGINT NOT NULL,
CONSTRAINT [PK_ClientMetricsTable_DeploymentId_ClientId] PRIMARY KEY ([DeploymentId], [ClientId])
)
GO
CREATE TABLE [Cluster].[OrleansSiloMetricsTable]
(
[DeploymentId] NVARCHAR(150) NOT NULL,
[SiloId] NVARCHAR(150) NOT NULL,
[Timestamp] DATETIME2(3) NOT NULL DEFAULT GETUTCDATE(),
[Address] VARCHAR(45) NOT NULL,
[Port] INT NOT NULL,
[Generation] INT NOT NULL,
[HostName] NVARCHAR(150) NOT NULL,
[GatewayAddress] VARCHAR(45) NOT NULL,
[GatewayPort] INT NOT NULL,
[CpuUsage] FLOAT NOT NULL,
[MemoryUsage] BIGINT NOT NULL,
[SendQueueLength] INT NOT NULL,
[ReceiveQueueLength] INT NOT NULL,
[SentMessages] BIGINT NOT NULL,
[ReceivedMessages] BIGINT NOT NULL,
[ActivationCount] INT NOT NULL,
[RecentlyUsedActivationCount] INT NOT NULL,
[RequestQueueLength] BIGINT NOT NULL,
[IsOverloaded] BIT NOT NULL,
[ClientCount] BIGINT NOT NULL,
CONSTRAINT [PK_SiloMetricsTable_DeploymentId_SiloId] PRIMARY KEY ([DeploymentId], [SiloId])
)
GO
CREATE TABLE [Cluster].[Storage]
(
[GrainIdHash] INT NOT NULL,
[GrainIdN0] BIGINT NOT NULL,
[GrainIdN1] BIGINT NOT NULL,
[GrainTypeHash] INT NOT NULL,
[GrainTypeString] NVARCHAR(512) NOT NULL,
[GrainIdExtensionString] NVARCHAR(512) NULL,
[ServiceId] NVARCHAR(150) NOT NULL,
[PayloadBinary] VARBINARY(MAX) NULL,
[PayloadXml] XML NULL,
[PayloadJson] NVARCHAR(MAX) NULL,
[ModifiedOn] DATETIME2(3) NOT NULL,
[Version] INT NULL
)
GO
CREATE NONCLUSTERED INDEX [IX_Storage] ON [Cluster].[Storage]([GrainIdHash], [GrainTypeHash])
GO
ALTER TABLE [Cluster].[Storage] SET(LOCK_ESCALATION = DISABLE)
GO
IF EXISTS (SELECT 1 FROM sys.dm_db_persisted_sku_features WHERE feature_id = 100)
BEGIN
ALTER TABLE [Cluster].[Storage] REBUILD PARTITION = ALL WITH(DATA_COMPRESSION = PAGE);
END
|
-- Licensed to the Apache Software Foundation (ASF) under one or more
-- contributor license agreements. See the NOTICE file distributed with
-- this work for additional information regarding copyright ownership.
-- The ASF licenses this file to You under the Apache License, Version 2.0
-- (the "License"); you may not use this file except in compliance with
-- the License. You may obtain a copy of the License at
--
-- http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing, software
-- distributed under the License is distributed on an "AS IS" BASIS,
-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-- See the License for the specific language governing permissions and
-- limitations under the License.
DROP TABLE IF EXISTS `ranger_masterkey`;
CREATE TABLE `ranger_masterkey` (
`id` bigint( 20 ) NOT NULL AUTO_INCREMENT ,
`create_time` datetime DEFAULT NULL ,
`update_time` datetime DEFAULT NULL ,
`added_by_id` bigint( 20 ) DEFAULT NULL ,
`upd_by_id` bigint( 20 ) DEFAULT NULL ,
`cipher` varchar( 255 ) DEFAULT NULL ,
`bitlength` int DEFAULT NULL ,
`masterkey` varchar(2048),
PRIMARY KEY ( `id` )
)ROW_FORMAT=DYNAMIC;
DROP TABLE IF EXISTS `ranger_keystore`;
CREATE TABLE `ranger_keystore` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`create_time` datetime DEFAULT NULL,
`update_time` datetime DEFAULT NULL,
`added_by_id` bigint(20) DEFAULT NULL,
`upd_by_id` bigint(20) DEFAULT NULL,
`kms_alias` varchar(255) NOT NULL,
`kms_createdDate` bigint(20) DEFAULT NULL,
`kms_cipher` varchar(255) DEFAULT NULL,
`kms_bitLength` bigint(20) DEFAULT NULL,
`kms_description` varchar(512) DEFAULT NULL,
`kms_version` bigint(20) DEFAULT NULL,
`kms_attributes` varchar(1024) DEFAULT NULL,
`kms_encoded`varchar(2048),
PRIMARY KEY (`id`)
)ROW_FORMAT=DYNAMIC;
|
SELECT relname, seq_tup_read + idx_tup_fetch as total
FROM pg_stat_user_tables
WHERE seq_tup_read + idx_tup_fetch > 0
ORDER BY total DESC LIMIT 10;
|
GRANT ALL PRIVILEGES ON *.* TO dbuser@"%" IDENTIFIED BY '[123456]';
CREATE DATABASE IF NOT EXISTS `awesome` DEFAULT CHARACTER SET UTF8mb4 DEFAULT COLLATE utf8mb4_bin;
USE awesome;
|
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */;
/*!40103 SET TIME_ZONE='+00:00' */;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
DROP TABLE IF EXISTS `character_instance`;
CREATE TABLE `character_instance` (
`guid` int(10) unsigned NOT NULL DEFAULT '0',
`instance` int(10) unsigned NOT NULL DEFAULT '0',
`permanent` tinyint(3) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`guid`,`instance`),
KEY `instance` (`instance`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
LOCK TABLES `character_instance` WRITE;
/*!40000 ALTER TABLE `character_instance` DISABLE KEYS */;
/*!40000 ALTER TABLE `character_instance` ENABLE KEYS */;
UNLOCK TABLES;
/*!40103 SET TIME_ZONE=@OLD_TIME_ZONE */;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
|
--+ holdcas on;
set system parameters 'compat_mode=mysql';
select acos(-1) from db_root;
select acos(acos(1)) from db_root;
select acos(acos(0) - field(acos(1),1,0,2,3)) from db_root;
set system parameters 'compat_mode=cubrid';commit;
--+ holdcas off;
|
-- @testpoint:openGauss关键字precision(非保留)，同时作为表名和列名带引号，与union结合查询合并两个SELECT 语句查询
drop table if exists "precision";
create table "precision"(
c_id int, c_int int, c_integer integer, c_bool int, c_boolean int, c_bigint integer,
c_real real, c_double real,
c_decimal decimal(38), c_number number(38), c_numeric numeric(38),
c_char char(50) default null, c_varchar varchar(20), c_varchar2 varchar2(4000),
c_date date, c_datetime date, c_timestamp timestamp,
"precision" varchar(100) default 'precision'
)
PARTITION BY RANGE (c_integer)
(
partition P_20180121 values less than (0),
partition P_20190122 values less than (50000),
partition P_20200123 values less than (100000),
partition P_max values less than (maxvalue)
);
insert into "precision"(c_id,"precision") values(1,'hello');
insert into "precision"(c_id,"precision") values(2,'china');
insert into "precision"(c_id,"precision") values(3,'gauss');
---两个select语句合并查询，查询结果显示hello、china、gauss，对括号中的select子句取limit 2
select "precision" from "precision" where "precision"='hello'
union all (select "precision" from "precision" where "precision"!='hello' order by "precision" limit 2);
drop table "precision";
|
%%MatrixMarket matrix coordinate real general
2 1 2
1 1 100
2 1 100
|
CREATE PROCEDURE dbo.CrearUsuario
@Nombre nvarchar(40)
,@ClaveHash binary(64)
,@Nombres nvarchar(40)
,@Apellido nvarchar(40)
,@Direccion nvarchar(60)
,@Telefono nvarchar(12)
,@Correo nvarchar(30)
,@Edad tinyint
,@Activo bit
,@responseMessage NVARCHAR(250) OUTPUT
AS
BEGIN
SET NOCOUNT ON
BEGIN TRY
INSERT INTO [dbo].[Usuario]
([Nombre]
,[ClaveHash]
,[Nombres]
,[Apellido]
,[Direccion]
,[Telefono]
,[Correo]
,[Edad]
,[Activo])
VALUES
(@Nombre
,HASHBYTES('SHA2_512', @ClaveHash)
,@Nombres
,@Apellido
,@Direccion
,@Telefono
,@Correo
,@Edad
,@Activo)
SET @responseMessage='Success'
END TRY
BEGIN CATCH
SET @responseMessage=ERROR_MESSAGE()
END CATCH
END
|
SELECT COUNT(*)
FROM site AS s,
so_user AS u1,
question AS q1,
answer AS a1,
tag AS t1,
tag_question AS tq1,
badge AS b,
account AS acc
WHERE s.site_id = q1.site_id
AND s.site_id = u1.site_id
AND s.site_id = a1.site_id
AND s.site_id = t1.site_id
AND s.site_id = tq1.site_id
AND s.site_id = b.site_id
AND q1.id = tq1.question_id
AND q1.id = a1.question_id
AND a1.owner_user_id = u1.id
AND t1.id = tq1.tag_id
AND b.user_id = u1.id
AND acc.id = u1.account_id
AND (s.site_name in ('academia',
'diy',
'ell',
'softwareengineering',
'webapps'))
AND (t1.name in ('electrical',
'google-sheets',
'grammar',
'meaning',
'meaning-in-context',
'word-usage'))
AND (q1.view_count >= 0)
AND (q1.view_count <= 100)
AND (u1.downvotes >= 0)
AND (u1.downvotes <= 1)
AND (LOWER(b.name) LIKE '%pop%')
|
--
-- PostgreSQL database dump
--
-- Dumped from database version 9.5.3
-- Dumped by pg_dump version 9.5.3
SET statement_timeout = 0;
SET lock_timeout = 0;
SET client_encoding = 'UTF8';
SET standard_conforming_strings = on;
SET check_function_bodies = false;
SET client_min_messages = warning;
SET row_security = off;
SET search_path = public, pg_catalog;
--
-- Data for Name: Applications; Type: TABLE DATA; Schema: public; Owner: cloudify
--
COPY "Applications" (id, name, status, "isPrivate", extras, "createdAt", "updatedAt") FROM stdin;
\.
--
-- Name: Applications_id_seq; Type: SEQUENCE SET; Schema: public; Owner: cloudify
--
SELECT pg_catalog.setval('"Applications_id_seq"', 1, false);
--
-- Data for Name: BlueprintAdditions; Type: TABLE DATA; Schema: public; Owner: cloudify
--
COPY "BlueprintAdditions" (id, "blueprintId", image, "imageUrl", "createdAt", "updatedAt") FROM stdin;
1 empty \\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 2020-09-04 09:39:35.678+00 2020-09-04 09:39:35.686+00
\.
--
-- Name: BlueprintAdditions_id_seq; Type: SEQUENCE SET; Schema: public; Owner: cloudify
--
SELECT pg_catalog.setval('"BlueprintAdditions_id_seq"', 1, true);
--
-- Data for Name: ClientConfigs; Type: TABLE DATA; Schema: public; Owner: cloudify
--
COPY "ClientConfigs" (id, "managerIp", config, "createdAt", "updatedAt") FROM stdin;
1 127.0.0.1 {"canUserEdit":true} 2020-09-04 09:36:20.455+00 2020-09-04 09:36:20.455+00
\.
--
-- Name: ClientConfigs_id_seq; Type: SEQUENCE SET; Schema: public; Owner: cloudify
--
SELECT pg_catalog.setval('"ClientConfigs_id_seq"', 1, true);
--
-- Data for Name: UserApps; Type: TABLE DATA; Schema: public; Owner: cloudify
--
COPY "UserApps" (id, "managerIp", username, "appDataVersion", mode, "appData", "createdAt", "updatedAt", tenant) FROM stdin;
1 127.0.0.1 admin 4 main {"pages":[{"id":"dashboard","name":"Dashboard","description":"","widgets":[{"id":"14476a95-fb07-4dce-95c5-9d99a24d4936","name":"Deployment Wizard Buttons","width":2,"height":11,"x":0,"y":0,"definition":"deploymentWizardButtons","configuration":{"showHelloWorldWizardButton":true,"helloWorldWizardButtonLabel":"Get started with the Hello World Wizard","showDeploymentWizardButton":true,"deploymentWizardButtonLabel":"Deployment Wizard"},"drillDownPages":{}},{"id":"0688e1ac-168e-4dc6-9a16-5c07efa83aa7","name":"Number of blueprints","width":2,"height":8,"x":2,"y":0,"definition":"blueprintNum","configuration":{"pollingTime":10,"page":"local_blueprints"},"drillDownPages":{}},{"id":"bfe1a7db-6836-41b6-813f-68fdbc943f44","name":"Number of deployments","width":2,"height":8,"x":4,"y":0,"definition":"deploymentNum","configuration":{"pollingTime":10,"page":"deployments"},"drillDownPages":{}},{"id":"5a3dbd48-62d0-48f5-98df-c5f186da547c","name":"Number of plugins","width":2,"height":8,"x":6,"y":0,"definition":"pluginsNum","configuration":{"pollingTime":30,"page":"system_resources"},"drillDownPages":{}},{"id":"d10985e0-5d3c-473b-8eb4-cf52c61384ad","name":"Number of compute nodes","width":2,"height":8,"x":8,"y":0,"definition":"nodesComputeNum","configuration":{"pollingTime":30},"drillDownPages":{}},{"id":"6215b48f-d40c-415d-a02e-1cdcce04fed3","name":"Number of running executions","width":2,"height":8,"x":10,"y":0,"definition":"executionNum","configuration":{"pollingTime":10},"drillDownPages":{}},{"id":"f2f83f34-875f-4119-966f-a07c1079ff49","name":"Blueprint Upload Button","width":2,"height":3,"x":2,"y":8,"definition":"blueprintUploadButton","configuration":{},"drillDownPages":{}},{"id":"a39c9d55-a06e-4b0b-9f5a-2561050b6bf9","name":"Deployment Button","width":2,"height":3,"x":4,"y":8,"definition":"deploymentButton","configuration":{},"drillDownPages":{}},{"id":"7e1e162e-935f-4f05-bbe2-70972298a96e","name":"Plugin Upload Button","width":2,"height":3,"x":6,"y":8,"definition":"pluginUploadButton","configuration":{},"drillDownPages":{}},{"id":"d4f94787-7c17-43a2-a980-197e142305d7","name":"Filter","width":12,"height":3,"x":0,"y":10,"definition":"filter","configuration":{"pollingTime":10,"filterByBlueprints":true,"filterByDeployments":true,"filterByExecutions":false,"filterByNodes":false,"filterByNodeInstances":false,"filterByExecutionsStatus":true,"filterBySiteName":false,"allowMultipleSelection":true},"drillDownPages":{}},{"id":"d3956c4c-fe2a-473a-b00f-080d7c50fd20","name":"Sites Map","width":12,"height":24,"x":0,"y":14,"definition":"sitesMap","configuration":{"pollingTime":10,"showAllLabels":false},"drillDownPages":{}},{"id":"c5061c1f-0a87-41bc-98fd-081563ba5951","name":"Executions","width":8,"height":24,"x":0,"y":38,"definition":"executions","configuration":{"pollingTime":5,"pageSize":10,"fieldsToShow":["Blueprint","Deployment","Workflow","Created","Ended","Creator","Attributes","Actions","Status"],"showSystemExecutions":true,"sortColumn":"created_at","sortAscending":null},"drillDownPages":{}},{"id":"42415dd2-eef4-48df-860d-b707bc6144c1","name":"Executions Statuses Graph","width":4,"height":24,"x":8,"y":38,"definition":"executionsStatus","configuration":{"pollingTime":5},"drillDownPages":{}}]},{"id":"cloudify_catalog","name":"Cloudify Catalog","description":"","widgets":[{"id":"9450946f-3082-4e28-8c3a-505bdb2df586","name":"Blueprints Catalog","width":12,"height":24,"x":0,"y":0,"definition":"blueprintCatalog","configuration":{"pageSize":5,"jsonPath":"https://repository.cloudifysource.org/cloudify/blueprints/5.0.5/examples.json","username":"cloudify-examples","filter":"blueprint in:name NOT local","displayStyle":"table","sortByName":false},"drillDownPages":{}},{"id":"9b27e635-cedd-426e-8549-72e6ad2a3194","name":"Plugins Catalog","width":12,"height":24,"x":0,"y":24,"definition":"pluginsCatalog","configuration":{"jsonPath":"//repository.cloudifysource.org/cloudify/wagons/plugins.json","sortByName":false},"drillDownPages":{}},{"id":"0f80312e-7347-4023-a0d1-15e1d674e3e8","name":"Composer link","width":2,"height":5,"x":0,"y":48,"definition":"composerLink","configuration":{},"drillDownPages":{}}]},{"id":"local_blueprints","name":"Local Blueprints","description":"","widgets":[{"id":"f465db71-aeab-44d4-af52-573204d77148","name":"Blueprints","width":12,"height":24,"x":0,"y":0,"definition":"blueprints","configuration":{"pollingTime":10,"pageSize":5,"clickToDrillDown":true,"displayStyle":"table","sortColumn":"created_at","sortAscending":null},"drillDownPages":{}},{"id":"83be1dc4-0b47-466e-85b6-a36aad4686fa","name":"Composer link","width":2,"height":5,"x":0,"y":25,"definition":"composerLink","configuration":{},"drillDownPages":{}}]},{"id":"deployments","name":"Deployments","description":"","widgets":[{"id":"4322bc35-f456-4fd7-8fc6-b7ce36e9e70d","name":"Deployment Button","width":3,"height":3,"x":0,"y":0,"definition":"deploymentButton","configuration":{},"drillDownPages":{}},{"id":"1e4058ca-190f-4d6b-bd8f-1007d562bffc","name":"Filter","width":12,"height":3,"x":0,"y":3,"definition":"filter","configuration":{"pollingTime":10,"filterByBlueprints":true,"filterByDeployments":false,"filterByExecutions":false,"filterByNodes":false,"filterByNodeInstances":false,"filterByExecutionsStatus":false,"filterBySiteName":true,"allowMultipleSelection":false},"drillDownPages":{}},{"id":"ea583dad-6e8a-4714-a920-e0daf28dfa89","name":"Deployments","width":12,"height":40,"x":0,"y":7,"definition":"deployments","configuration":{"pollingTime":10,"pageSize":5,"clickToDrillDown":true,"showExecutionStatusLabel":false,"blueprintIdFilter":null,"displayStyle":"list","sortColumn":"created_at","sortAscending":null},"drillDownPages":{}}]},{"id":"site_management","name":"Site Management","description":"","widgets":[{"id":"4fdcd97d-9bf9-43e9-839a-c2b4dc8defec","name":"Sites","width":12,"height":24,"x":0,"y":0,"definition":"sites","configuration":{"pollingTime":30,"pageSize":5,"sortColumn":"name","sortAscending":true},"drillDownPages":{}}]},{"id":"tenant_management","name":"Tenant Management","description":"","widgets":[{"id":"c798dec5-c16a-483c-ab6a-a504775bbf0f","name":"User Management","width":12,"height":20,"definition":"userManagement","configuration":{"pollingTime":30,"pageSize":5,"sortColumn":"username","sortAscending":true},"drillDownPages":{}},{"id":"72f1ea6d-78bb-40b9-ba7f-8a1a1b6aae92","name":"Tenants Management","width":12,"height":20,"definition":"tenants","configuration":{"pollingTime":30,"pageSize":5,"sortColumn":"name","sortAscending":true},"drillDownPages":{}},{"id":"9b95c5e3-961e-4c55-935d-6fcca6b02f09","name":"User Groups Management","width":12,"height":20,"definition":"userGroups","configuration":{"pollingTime":30,"pageSize":5,"sortColumn":"name","sortAscending":true},"drillDownPages":{}}]},{"id":"admin_operations","name":"Admin Operations","description":"","widgets":[{"id":"6f87beae-0761-4636-9f3c-35cca5088c54","name":"Maintenance Mode Button","width":3,"height":3,"x":0,"y":0,"definition":"maintenanceModeButton","configuration":{},"drillDownPages":{}},{"id":"0faabc80-fe80-49ba-8ba2-b1909afe42e2","name":"Cluster Status","width":12,"height":24,"x":0,"y":3,"definition":"highAvailability","configuration":{},"drillDownPages":{}},{"id":"13fbfd35-a486-4800-b174-767003e92455","name":"Snapshots","width":12,"height":24,"x":0,"y":27,"definition":"snapshots","configuration":{"pollingTime":30,"pageSize":5,"sortColumn":"created_at","sortAscending":null},"drillDownPages":{}}]},{"id":"system_resources","name":"System Resources","description":"","widgets":[{"id":"a40c3283-80e9-4d84-a01a-0f40c15285b8","name":"Plugins","width":12,"height":24,"x":0,"y":0,"definition":"plugins","configuration":{"pollingTime":30,"pageSize":5},"drillDownPages":{}},{"id":"011da80a-f984-4b44-bd17-70235d39e4ee","name":"Secret Store Management","width":12,"height":24,"x":0,"y":24,"definition":"secrets","configuration":{"pollingTime":30,"pageSize":5,"sortColumn":"key","sortAscending":true},"drillDownPages":{}},{"id":"2d662e38-5c76-4d77-b14e-5e9f53607e3e","name":"Agents Management","width":12,"height":24,"x":0,"y":48,"definition":"agents","configuration":{"pollingTime":15,"fieldsToShow":["Id","Node","Deployment","IP","Install Method","System","Version","Actions"],"installMethods":[""]},"drillDownPages":{}}]},{"id":"logs","name":"Logs","description":"","widgets":[{"id":"3c984314-68b2-4c8f-b147-61933e7e0982","name":"Resource Filter","width":12,"height":3,"x":0,"y":0,"definition":"filter","configuration":{"pollingTime":10,"filterByBlueprints":true,"filterByDeployments":true,"filterByExecutions":true,"filterByNodes":true,"filterByNodeInstances":true,"filterByExecutionsStatus":false,"filterBySiteName":false,"allowMultipleSelection":true},"drillDownPages":{}},{"id":"2cb88ba1-f153-4421-9287-d0f7394974b1","name":"Events/logs filter widget","width":12,"height":5,"x":0,"y":5,"definition":"eventsFilter","configuration":{},"drillDownPages":{}},{"id":"ae0c404c-686a-4a6e-af7f-d681c08fced2","name":"Events and logs","width":12,"height":40,"x":0,"y":10,"definition":"events","configuration":{"pollingTime":2,"pageSize":15,"sortColumn":"timestamp","sortAscending":null,"fieldsToShow":["Icon","Timestamp","Blueprint","Deployment","Workflow","Operation","Node Id","Node Instance Id","Message"],"colorLogs":true,"maxMessageLength":200},"drillDownPages":{}}]},{"id":"page_0","name":"Page_0","description":"","widgets":[{"id":"46d67a41-c5d7-4152-a6f4-6b0251dd4600","name":"Test widget","width":2,"height":8,"x":0,"y":0,"definition":"testWidget","configuration":{"pollingTime":6},"drillDownPages":{}}]}]} 2020-09-04 09:36:26.51+00 2020-09-04 09:38:01.886+00 default_tenant
\.
--
-- Name: UserApps_id_seq; Type: SEQUENCE SET; Schema: public; Owner: cloudify
--
SELECT pg_catalog.setval('"UserApps_id_seq"', 1, true);
--
-- Data for Name: WidgetBackends; Type: TABLE DATA; Schema: public; Owner: cloudify
--
COPY "WidgetBackends" (id, "widgetId", "serviceName", method, script, "createdAt", "updatedAt") FROM stdin;
2 managers GET_SPIRE_DEPLOYMENTS GET {"code": "module.exports = (req, res, next, helper) => {\\n const _ = require('lodash');\\n // const logger = helper.Logger('get_spire_deployments');\\n\\n const { headers } = req;\\n const extractedHeaders = {\\n tenant: headers.tenant,\\n 'Authentication-Token': headers['authentication-token']\\n };\\n let spireDeployments = [];\\n\\n return helper.Manager.doGetFull(\\n '/deployments',\\n {\\n _include: 'id,workflows,capabilities,description',\\n description:\\n 'This blueprint creates several VMs, installs a Cloudify Manager on each of them, ' +\\n 'creates a Cloudify Spire Management Cluster between all the managers and uploads ' +\\n 'several auxiliary resources to the cluster.\\\\n'\\n },\\n extractedHeaders\\n )\\n .then(data => {\\n spireDeployments = data.items;\\n const capabilitiesPromises = _.map(spireDeployments, deployment =>\\n helper.Manager.doGet(`/deployments/${deployment.id}/capabilities`, null, extractedHeaders)\\n );\\n\\n const executionsPromise = helper.Manager.doGet(\\n '/executions',\\n {\\n _sort: '-ended_at',\\n deployment_id: _.map(spireDeployments, deployment => deployment.id)\\n },\\n extractedHeaders\\n );\\n\\n return Promise.all([executionsPromise, ...capabilitiesPromises]);\\n })\\n .then(([executions, ...spireDeploymentsCapabilities]) => {\\n const executionsData = _.groupBy(executions.items, 'deployment_id');\\n\\n return Promise.resolve({\\n items: _.sortBy(\\n _.map(spireDeploymentsCapabilities, deploymentCapabilities => {\\n const spireDeploymentId = deploymentCapabilities.deployment_id;\\n const spireEndpointIp = _.get(deploymentCapabilities.capabilities, 'endpoint', '');\\n const deployment = _.find(\\n spireDeployments,\\n d => d.id === deploymentCapabilities.deployment_id\\n );\\n const workflows = _.get(deployment, 'workflows', []);\\n\\n return {\\n id: spireDeploymentId,\\n ip: spireEndpointIp,\\n workflows,\\n lastExecution: _.first(executionsData[spireDeploymentId])\\n };\\n }),\\n 'id'\\n ),\\n total: _.size(spireDeploymentsCapabilities)\\n });\\n })\\n .then(data => res.send(data))\\n .catch(error => next(error));\\n }", "filename": "vm.js"} 2020-07-13 11:45:45.753+00 2020-09-04 09:35:44.357+00
1 managers GET_CLUSTER_STATUS GET {"code": "module.exports = (req, res, next, helper) => {\\n const _ = require('lodash');\\n const logger = helper.Logger('get_cluster_status');\\n\\n const {\\n query: { deploymentId },\\n headers\\n } = req;\\n const extractedHeaders = {\\n tenant: headers.tenant,\\n 'Authentication-Token': headers['authentication-token']\\n };\\n\\n const getClusterStatus = (ip, username, password, tenant, certificate) => {\\n const endpointUrl = `http://${ip}/api/v3.1/cluster-status`;\\n const endpointHeaders = {\\n tenant,\\n Authorization: `Basic ${Buffer.from(`${username}:${password}`).toString('base64')}`\\n };\\n logger.debug(`Calling: GET ${endpointUrl}`);\\n\\n return helper.Request.doGet(\\n `http://${ip}/api/v3.1/cluster-status`,\\n null,\\n true,\\n endpointHeaders,\\n certificate\\n );\\n };\\n\\n const extractCredentials = (capabilitiesPromise, usernameSecretPromise, passwordSecretPromise) => {\\n const ip = _.get(capabilitiesPromise, 'capabilities.endpoint');\\n const cert = _.get(capabilitiesPromise, 'capabilities.endpoint_certificate');\\n const username = _.get(usernameSecretPromise, 'value');\\n const password = _.get(passwordSecretPromise, 'value');\\n const tenant = 'default_tenant';\\n\\n logger.debug(`Extracted data: ip=${ip}, user=${username}, cert=${cert ? 'present' : 'not present'}`);\\n return {\\n ip,\\n username,\\n password,\\n tenant,\\n cert\\n };\\n };\\n\\n const capabilitiesPromise = helper.Manager.doGet(\\n `/deployments/${deploymentId}/capabilities`,\\n null,\\n extractedHeaders\\n ).catch(error => {\\n logger.error(error);\\n return Promise.reject(new Error('Cannot fetch IP address and certificate of the endpoint'));\\n });\\n const passwordSecretPromise = helper.Manager.doGet(\\n '/secrets/manager_admin_password',\\n null,\\n extractedHeaders\\n ).catch(() => 'admin');\\n const usernameSecretPromise = helper.Manager.doGet(\\n '/secrets/manager_admin_username',\\n null,\\n extractedHeaders\\n ).catch(() => 'admin');\\n\\n Promise.all([capabilitiesPromise, usernameSecretPromise, passwordSecretPromise])\\n .then(([capabilities, usernameSecret, passwordSecret]) =>\\n extractCredentials(capabilities, usernameSecret, passwordSecret)\\n )\\n .then(({ ip, username, password, tenant, cert }) => getClusterStatus(ip, username, password, tenant, cert))\\n .then(clusterStatus => res.send(clusterStatus))\\n .catch(error => next(error));\\n }", "filename": "vm.js"} 2020-07-13 11:45:45.762+00 2020-09-04 09:35:44.357+00
3 executions GET_TASKS_GRAPH GET {"code": "module.exports = (req, res, next, helper) => {\\n /**\\n * ### Due to the nature of widgetBackend, the whole logic of a function must be placed inside that function\\n * ### and cannot be separated to several functions :(\\n *\\n * This method takes the 'workflow ID' and 'workflow execution name' of a specific execution\\n * retrieves the tasks graphs associated with the execution (can be more than one) and retrieves\\n * every task graph's operations list\\n * In order to visually build the graph without too much headache we use elkjs for the graph\\n * visualization calculation, elkjs receives a graph format with requirements and outputs a\\n * graph with node and edges (x,y) coordinates to place as we please.\\n * E.G:\\n *\\n * Demo of the object required by ELK to create the graph:\\n * const graph = {\\n * id: \\"root\\",\\n * layoutOptions: {\\n * 'elk.algorithm': 'layered',\\n * 'elk.spacing.nodeNode': '20f',\\n * 'layered.spacing.nodeNodeBetweenLayers': '20f'\\n * },\\n * children: [\\n * { id: \\"n1\\", width: 30, height: 30, labels: [{text: '1'}] },\\n * { id: \\"n2\\", width: 30, height: 30, labels: [{text: '2'}] },\\n * { id: \\"n3\\", width: 30, height: 30, labels: [{text: '3'}] },\\n * { id: \\"n4\\", width: 30, height: 30, labels: [{text: '4'}] },\\n * {\\n * id: \\"n5\\",\\n * children: [\\n * { id: \\"n6\\", width: 30, height: 30, labels: [{text: '5'}] },\\n * { id: \\"n7\\", width: 30, height: 30, labels: [{text: '6'}] },\\n * { id: \\"n8\\", width: 30, height: 30, labels: [{text: '7'}] }\\n * ],\\n * edges: [\\n * { id: \\"e6\\", sources: [ \\"n6\\" ], targets: [ \\"n7\\" ] },\\n * { id: \\"e7\\", sources: [ \\"n6\\" ], targets: [ \\"n8\\" ] },\\n * { id: \\"e7\\", sources: [ \\"n7\\" ], targets: [ \\"n8\\" ] }\\n * ],\\n * labels: [{text: '8 - containing graph'}]\\n * }\\n * ],\\n * edges: [\\n * { id: \\"e1\\", sources: [ \\"n1\\" ], targets: [ \\"n2\\" ] },\\n * { id: \\"e2\\", sources: [ \\"n1\\" ], targets: [ \\"n3\\" ] },\\n * { id: \\"e3\\", sources: [ \\"n1\\" ], targets: [ \\"n4\\" ] },\\n * { id: \\"e4\\", sources: [ \\"n2\\" ], targets: [ \\"n5\\" ] },\\n * { id: \\"e5\\", sources: [ \\"n2\\" ], targets: [ \\"n3\\" ] }\\n * ]\\n * }\\n * Once the object is finished creating - ELK will create the graph with the following command:\\n * elk.layout(graph)\\n * .then((g) => {\\n * if (this.state.graphResult !== g)\\n * {\\n * this.setState({\\n * graphResult: g\\n * })\\n * }\\n * })\\n * .catch(console.error)\\n *\\n *\\n * More information can be found here: https://github.com/OpenKieler/elkjs\\n */\\n const ELK = require('elkjs');\\n const _ = require('lodash');\\n\\n const elk = new ELK();\\n\\n const tasksGraphsFetchUrl = '/tasks_graphs';\\n const operationsFetchUrl = '/operations';\\n\\n const localWorkflowTask = 'LocalWorkflowTask';\\n const nopLocalWorkflowTask = 'NOPLocalWorkflowTask';\\n const subgraphTask = 'SubgraphTask';\\n\\n // ELK Tasks graph skeleton\\n const tasksGraph = {\\n id: 'tasksGraph',\\n layoutOptions: {\\n 'elk.algorithm': 'layered',\\n 'elk.spacing.nodeNode': '30f', // Vertical spacing between nodes in each layer\\n 'layered.spacing.nodeNodeBetweenLayers': '50f', // Horizontal spacing between layers\\n hierarchyHandling: 'INCLUDE_CHILDREN' // To ensure inner nodes can have proper edges to nodes with different parents\\n },\\n children: [],\\n edges: []\\n };\\n const paddingLeftRight = 12;\\n const paddingTop = 20;\\n const paddingBottom = 16;\\n const subGraphLayoutOptions = {\\n 'elk.padding': `[top=${paddingTop},left=${paddingLeftRight},bottom=${paddingBottom},right=${paddingLeftRight}]`\\n };\\n\\n // This is a rough estimate of how much space each character in a string takes.\\n // This will be used when a text needs to be displayed inside a node (rectangle)\\n // and exceeds its width, resulting in increasing the rectangle's height and\\n // breaking the string into 2 (and so forth...)\\n const textSizingFactor = 5.6;\\n const textHeight = 18;\\n\\n const runGraphCreation = () => {\\n const tasksGraphParams = { ...req.query };\\n\\n let { headers } = req;\\n const operationsList = [];\\n helper.Manager.doGet(tasksGraphsFetchUrl, tasksGraphParams, headers)\\n .then(data => {\\n headers = _.omit(headers, 'accept-encoding'); // Required otherwise the data is returned in bytes and screwed up\\n const operationsPromises = _.map(data.items, graph =>\\n helper.Manager.doGet(operationsFetchUrl, { graph_id: graph.id }, headers)\\n );\\n Promise.all(operationsPromises)\\n .then(results => {\\n _.map(results[0].items, item => {\\n operationsList.push(item);\\n });\\n return operationsList;\\n })\\n .then(operationsList => {\\n // Constructing SubGraphs\\n let allSubgraphs = constructSubgraphs(operationsList);\\n // Constructing Dependencies\\n allSubgraphs = constructDependencies(operationsList, allSubgraphs);\\n // Increase the Node's rectangle height based on inner texts\\n allSubgraphs = adjustingNodeSizes(allSubgraphs);\\n // Remove LocalWorkflow & NOPWorkflowTasks from the graph while keeping it connected\\n allSubgraphs = cleanSubgraphsList(allSubgraphs);\\n // Creating the ELK-formatted graph\\n return createELKTasksGraphs(allSubgraphs);\\n })\\n .then(tasksGraph => {\\n elk.layout(tasksGraph).then(elkGraph => {\\n res.send(elkGraph);\\n });\\n })\\n .catch(error => {\\n console.log(error);\\n next(error);\\n });\\n })\\n .catch(error => {\\n console.log(error);\\n next(error);\\n });\\n };\\n const constructSubgraphs = operationsList => {\\n // All the subgraphs and leaves are in the same list for better time-complexity performance, meaning -\\n // For every subgraph - instead of traversing its children until we find the desired subgraph/leaf, we simply\\n // keep the child (or grand child) subgraph/leaf in the first-tier list as a pointer to the real child.\\n // When we're done creating the skeleton for ELK, we remove all the pointers and only keep the root subgraphs.\\n const allSubgraphs = {};\\n _.map(operationsList, task => {\\n let taskName = _.split(task.name, 'cloudify.interfaces.');\\n taskName = taskName.length > 1 ? taskName[1] : taskName[0];\\n\\n let taskOperation = '';\\n if (\\n task.parameters.task_kwargs.cloudify_context &&\\n task.parameters.task_kwargs.cloudify_context.operation\\n ) {\\n taskOperation = task.parameters.task_kwargs.cloudify_context.operation.name;\\n taskOperation = _.split(taskOperation, 'cloudify.interfaces.');\\n taskOperation = taskOperation.length > 1 ? taskOperation[1] : taskOperation[0];\\n taskOperation = _.capitalize(_.lowerCase(taskOperation));\\n }\\n\\n let subGraph = {\\n // subGraph can be a subGraph or a 'leaf'\\n id: task.id,\\n labels: [\\n {\\n text: taskName,\\n retry: 0,\\n type: task.type,\\n state: task.state,\\n operation: taskOperation,\\n display_text: ''\\n }\\n ],\\n children: [],\\n edges: [],\\n containing_subgraph: null // Needed to distinguish which nodes to keep (=not null -> not root-level subgraphs -> will be removed)\\n };\\n if (!allSubgraphs.hasOwnProperty(task.id)) {\\n allSubgraphs[task.id] = subGraph;\\n } else {\\n allSubgraphs[task.id].labels[0].text = taskName;\\n allSubgraphs[task.id].labels[0].type = task.type;\\n allSubgraphs[task.id].labels[0].operation = taskOperation;\\n subGraph = allSubgraphs[task.id];\\n }\\n if (task.parameters.containing_subgraph) {\\n // Task is inside a Subgraph (could be subgraph in subgraph)\\n // Need to create its parent and update self as its child\\n const { containing_subgraph } = task.parameters;\\n subGraph.containing_subgraph = containing_subgraph;\\n if (!allSubgraphs.hasOwnProperty(containing_subgraph)) {\\n // Parent does not exist - creating parent skeleton to be filled later\\n const parentGraph = {\\n id: containing_subgraph,\\n labels: [{ state: null }],\\n children: [subGraph],\\n edges: [],\\n containing_subgraph: null\\n };\\n allSubgraphs[containing_subgraph] = parentGraph;\\n } else {\\n // parentGraph already exists - only update its children and its child that its contained in it\\n allSubgraphs[containing_subgraph].children.push(subGraph);\\n allSubgraphs[containing_subgraph].labels[0].state = null;\\n allSubgraphs[task.id].containing_subgraph = containing_subgraph;\\n }\\n }\\n });\\n return allSubgraphs;\\n };\\n const constructDependencies = (operationsList, allSubgraphs) => {\\n // Connecting all the operations into a graph\\n // *IMPORTANT NOTE* - Retrying tasks depend on their previous failed task\\n allSubgraphs.edges = [];\\n _.map(operationsList, task => {\\n if (task.parameters.current_retries > 0) {\\n allSubgraphs[task.id].labels[0].retry = task.parameters.current_retries;\\n }\\n if (allSubgraphs[task.id].containing_subgraph) {\\n allSubgraphs[task.id].width = 270;\\n allSubgraphs[task.id].height = 40;\\n }\\n _.map(operationsList, dependantTask => {\\n const edge = {\\n id: '',\\n sources: [],\\n targets: []\\n };\\n if (\\n dependantTask.dependencies.indexOf(task.id) > -1 ||\\n dependantTask.parameters.retried_task === task.id\\n ) {\\n edge.id = `${task.id}_${dependantTask.id}`;\\n edge.sources.push(task.id);\\n edge.targets.push(dependantTask.id);\\n const { containing_subgraph } = allSubgraphs[task.id];\\n if (containing_subgraph === null) {\\n allSubgraphs.edges.push(edge);\\n } else {\\n allSubgraphs[containing_subgraph].edges.push(edge);\\n }\\n }\\n });\\n });\\n return allSubgraphs;\\n };\\n const safeDeleteIrrelevantGraphVertices = allSubgraphs => {\\n // Remove LocalWorkflow, NOPWorkflowTasks and retrying-tasks from the graph\\n // while keeping it connected\\n const existingEdges = new Set(); // Used to remove duplicate edges\\n _.map(allSubgraphs, subGraph => {\\n if (subGraph.children && subGraph.children.length > 0) {\\n // Go through all the subgraphs\\n subGraph.children = _.map(subGraph.children, workflowTask => {\\n // For each subgraph, go through all the tasks\\n if (\\n workflowTask.labels[0].type === localWorkflowTask ||\\n workflowTask.labels[0].type === nopLocalWorkflowTask ||\\n workflowTask.labels[0].retry > 0\\n ) {\\n // Remove all LocalWorkflowTasks and NOPWorkflowTasks from the subgraph\\n // Connect its 'target' edges to it's parents' 'target' edges\\n // Remove the node when done\\n const sourceNodes = [];\\n const targetNodes = [];\\n // Need to go through the array twice because the\\n // update of the rest of the edges must be after all the\\n // \\"Node to remove\\"'s edges have been scanned\\n subGraph.edges = _.map(subGraph.edges, edge => {\\n const sourceNode = edge.sources[0];\\n const targetNode = edge.targets[0];\\n if (sourceNode === workflowTask.id) {\\n targetNodes.push(targetNode);\\n } else if (targetNode === workflowTask.id) {\\n sourceNodes.push(sourceNode);\\n if (workflowTask.labels[0].retry > 0) {\\n // If a task is retrying - delete it and combine it with its father\\n allSubgraphs[sourceNode].labels[0].retry = workflowTask.labels[0].retry;\\n allSubgraphs[sourceNode].labels[0].state = workflowTask.labels[0].state;\\n allSubgraphs[sourceNode].labels[0].display_text =\\n workflowTask.labels[0].display_text;\\n }\\n } else {\\n return edge;\\n }\\n }).filter(edge => edge !== undefined);\\n _.map(sourceNodes, sourceNodeId => {\\n _.map(targetNodes, targetNodeId => {\\n const newEdge = {\\n id: `${sourceNodeId}_${targetNodeId}`,\\n sources: [`${sourceNodeId}`],\\n targets: [`${targetNodeId}`]\\n };\\n if (!existingEdges.has(newEdge.id)) {\\n subGraph.edges.push(newEdge);\\n existingEdges.add(newEdge.id);\\n }\\n });\\n });\\n } else {\\n return workflowTask;\\n }\\n }).filter(workflowTask => workflowTask !== undefined);\\n }\\n });\\n return allSubgraphs;\\n };\\n const adjustingNodeSizes = allSubgraphs => {\\n // Since some operations' inner text may exceed its Node's width\\n // we need to increase the Node's height accordingly and split the text\\n // This process must be here after all the nodes are in the list\\n const textSplitCalculation = (nodeWidth, textToCalculate) => {\\n const maximumLength = _.floor((nodeWidth - paddingLeftRight * 2) / textSizingFactor) - 2;\\n if (textToCalculate.length > maximumLength) {\\n let indexOfSplitLocation;\\n // Traversing the splitting location backwards to find the beginning of the word\\n for (indexOfSplitLocation = maximumLength; indexOfSplitLocation >= 0; indexOfSplitLocation--) {\\n if (textToCalculate[indexOfSplitLocation] === ' ') {\\n break;\\n }\\n }\\n const textArr = textSplitCalculation(\\n nodeWidth,\\n textToCalculate.substring(indexOfSplitLocation + 1)\\n );\\n textArr.unshift(textToCalculate.substring(0, indexOfSplitLocation + 1));\\n return textArr;\\n }\\n return [textToCalculate];\\n };\\n _.map(allSubgraphs, subGraph => {\\n if (subGraph.containing_subgraph !== null && subGraph.labels) {\\n subGraph.labels[0].text = _.capitalize(_.lowerCase(subGraph.labels[0].text));\\n }\\n if (subGraph.children && subGraph.children.length !== 0) {\\n subGraph.layoutOptions = subGraphLayoutOptions;\\n }\\n if (subGraph.children && subGraph.children.length === 0) {\\n // if leaf and not the 'edges' object\\n let numberOfSplits = 0;\\n let textToCalculate = '';\\n if (subGraph.labels[0].text) {\\n textToCalculate = subGraph.labels[0].text;\\n textToCalculate = textSplitCalculation(subGraph.width, textToCalculate);\\n // Each element in the resulting array will be rendered in a separate <text> element\\n subGraph.labels[0].display_title = textToCalculate;\\n numberOfSplits += textToCalculate.length - 1;\\n }\\n // Description text\\n const tempArr = [];\\n if (subGraph.labels[0].operation) {\\n tempArr.push(subGraph.labels[0].operation);\\n }\\n if (subGraph.labels[0].state) {\\n tempArr.push(subGraph.labels[0].state);\\n }\\n if (subGraph.labels[0].retry) {\\n tempArr.push(subGraph.labels[0].retry);\\n }\\n textToCalculate = tempArr.join(' - ');\\n textToCalculate = textSplitCalculation(subGraph.width, textToCalculate);\\n // Each element in the resulting array will be rendered in a separate <text> element\\n subGraph.labels[0].display_text = textToCalculate;\\n numberOfSplits += textToCalculate.length - 1;\\n if (numberOfSplits > 0) {\\n subGraph.height += textHeight * numberOfSplits;\\n }\\n }\\n });\\n return allSubgraphs;\\n };\\n const cleanSubgraphsList = allSubgraphs => {\\n // Removing irrelevant vertices (when a task is rescheduled due to failure mostly)\\n allSubgraphs = safeDeleteIrrelevantGraphVertices(allSubgraphs);\\n // Removing subgraphs with 0 children\\n allSubgraphs = _.omitBy(allSubgraphs, subGraph => {\\n if (\\n _.isEmpty(subGraph.children) &&\\n !_.isEmpty(subGraph.labels) &&\\n subGraph.labels[0].type === subgraphTask\\n ) {\\n // Verify the subGraph doesn't have connected edges\\n if (subGraph.containing_subgraph !== null) {\\n let i = allSubgraphs[subGraph.containing_subgraph].edges.length;\\n while (i--) {\\n if (\\n allSubgraphs[subGraph.containing_subgraph].edges[i].sources.indexOf(subGraph.id) > -1 ||\\n allSubgraphs[subGraph.containing_subgraph].edges[i].targets.indexOf(subGraph.id) > -1\\n ) {\\n allSubgraphs[subGraph.containing_subgraph].edges.splice(i, 1);\\n }\\n }\\n } else {\\n let i = allSubgraphs.edges.length;\\n while (i--) {\\n if (\\n allSubgraphs.edges[i].sources.indexOf(subGraph.id) > -1 ||\\n allSubgraphs.edges[i].targets.indexOf(subGraph.id) > -1\\n ) {\\n allSubgraphs.edges.splice(i, 1);\\n }\\n }\\n }\\n return true;\\n }\\n });\\n allSubgraphs = _.omitBy(allSubgraphs, subGraph => {\\n // Return all the nodes that are root-level subgraphs\\n const { containing_subgraph } = subGraph;\\n delete subGraph.containing_subgraph;\\n return containing_subgraph;\\n });\\n return allSubgraphs;\\n };\\n const createELKTasksGraphs = allSubgraphs => {\\n tasksGraph.edges = allSubgraphs.edges;\\n allSubgraphs = _.omit(allSubgraphs, ['edges']);\\n _.map(allSubgraphs, subGraph => {\\n tasksGraph.children.push(subGraph);\\n });\\n return tasksGraph;\\n };\\n\\n runGraphCreation();\\n }", "filename": "vm.js"} 2020-07-13 11:45:45.761+00 2020-09-04 09:35:44.358+00
\.
--
-- Name: WidgetBackends_id_seq; Type: SEQUENCE SET; Schema: public; Owner: cloudify
--
SELECT pg_catalog.setval('"WidgetBackends_id_seq"', 3, true);
--
-- PostgreSQL database dump complete
--
|
-- from acs-metadata-create.sql
create or replace function acs_attribute__create_attribute (varchar,varchar,varchar,varchar,varchar,varchar,varchar,varchar,integer,integer,integer,varchar,boolean)
returns integer as '
declare
create_attribute__object_type alias for $1;
create_attribute__attribute_name alias for $2;
create_attribute__datatype alias for $3;
create_attribute__pretty_name alias for $4;
create_attribute__pretty_plural alias for $5; -- default null
create_attribute__table_name alias for $6; -- default null
create_attribute__column_name alias for $7; -- default null
create_attribute__default_value alias for $8; -- default null
create_attribute__min_n_values alias for $9; -- default 1
create_attribute__max_n_values alias for $10; -- default 1
create_attribute__sort_order alias for $11; -- default null
create_attribute__storage alias for $12; -- default ''type_specific''
create_attribute__static_p alias for $13; -- default ''f''
v_sort_order acs_attributes.sort_order%TYPE;
v_attribute_id acs_attributes.attribute_id%TYPE;
begin
if create_attribute__sort_order is null then
select coalesce(max(sort_order), 1) into v_sort_order
from acs_attributes
where object_type = create_attribute__object_type
and attribute_name = create_attribute__attribute_name;
else
v_sort_order := create_attribute__sort_order;
end if;
select nextval(''t_acs_attribute_id_seq'') into v_attribute_id;
insert into acs_attributes
(attribute_id, object_type, table_name, column_name, attribute_name,
pretty_name, pretty_plural, sort_order, datatype, default_value,
min_n_values, max_n_values, storage, static_p)
values
(v_attribute_id, create_attribute__object_type,
create_attribute__table_name, create_attribute__column_name,
create_attribute__attribute_name, create_attribute__pretty_name,
create_attribute__pretty_plural, v_sort_order,
create_attribute__datatype, create_attribute__default_value,
create_attribute__min_n_values, create_attribute__max_n_values,
create_attribute__storage, create_attribute__static_p);
return v_attribute_id;
end;' language 'plpgsql';
-- from acs-objects-create.sql
create or replace function acs_object__new (integer,varchar,timestamptz,integer,varchar,integer,boolean,varchar,integer)
returns integer as '
declare
new__object_id alias for $1; -- default null
new__object_type alias for $2; -- default ''acs_object''
new__creation_date alias for $3; -- default now()
new__creation_user alias for $4; -- default null
new__creation_ip alias for $5; -- default null
new__context_id alias for $6; -- default null
new__security_inherit_p alias for $7; -- default ''t''
new__title alias for $8; -- default null
new__package_id alias for $9; -- default null
v_object_id acs_objects.object_id%TYPE;
v_creation_date timestamptz;
v_title acs_objects.title%TYPE;
v_object_type_pretty_name acs_object_types.pretty_name%TYPE;
begin
if new__object_id is null then
select nextval(''t_acs_object_id_seq'') into v_object_id;
else
v_object_id := new__object_id;
end if;
if new__title is null then
select pretty_name
into v_object_type_pretty_name
from acs_object_types
where object_type = new__object_type;
v_title := v_object_type_pretty_name || '' '' || v_object_id;
else
v_title := new__title;
end if;
if new__creation_date is null then
v_creation_date:= now();
else
v_creation_date := new__creation_date;
end if;
insert into acs_objects
(object_id, object_type, title, package_id, context_id,
creation_date, creation_user, creation_ip, security_inherit_p)
values
(v_object_id, new__object_type, v_title, new__package_id, new__context_id,
v_creation_date, new__creation_user, new__creation_ip,
new__security_inherit_p);
PERFORM acs_object__initialize_attributes(v_object_id);
return v_object_id;
end;' language 'plpgsql';
|
-- phpMyAdmin SQL Dump
-- version 5.0.4
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Aug 24, 2021 at 09:10 AM
-- Server version: 10.4.17-MariaDB
-- PHP Version: 7.4.15
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `lestari`
--
-- --------------------------------------------------------
--
-- Table structure for table `tbl_admin`
--
CREATE TABLE `tbl_admin` (
`id` int(11) NOT NULL,
`nama_admin` varchar(50) NOT NULL,
`email_admin` varchar(50) NOT NULL,
`password_admin` varchar(100) NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tbl_admin`
--
INSERT INTO `tbl_admin` (`id`, `nama_admin`, `email_admin`, `password_admin`, `created_at`, `updated_at`) VALUES
(3, 'Cepi Cahyana', 'cepic6666@gmail.com', '$2y$10$zZcGiY/ylqstVV7RtyEqb.o0dBXJTqy60vXzyhsWIaypcoL5J9St2', '2021-06-06 20:30:53', '2021-08-08 11:08:56'),
(5, 'Admin', 'admin@gmail.com', '$2y$10$4.B8bKRNv6zL.1txbrKCrOQZSiuHMFgOrtkMCr7EN.94yiZONNrAG', '2021-06-15 23:36:40', '2021-06-15 23:36:40'),
(7, 'Ucup', 'ucup@gmail.com', '$2y$10$WYiM116/EaPOeBX72K65i.5iv6.mINnpmhLbRghi.D43xTzZDpBki', '2021-07-18 19:13:46', '2021-07-18 19:13:46');
-- --------------------------------------------------------
--
-- Table structure for table `tbl_cabang`
--
CREATE TABLE `tbl_cabang` (
`id` int(11) NOT NULL,
`nama_cabang` varchar(50) NOT NULL,
`alamat` text NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tbl_cabang`
--
INSERT INTO `tbl_cabang` (`id`, `nama_cabang`, `alamat`, `created_at`, `updated_at`) VALUES
(1, 'Lestari 1', 'Lestari 1', '2021-06-07 17:47:02', '2021-06-07 17:47:02'),
(2, 'Lestari 2', 'Lestari 2', '2021-06-07 17:47:17', '2021-06-07 17:47:17'),
(3, 'Lestari 3', 'Lestari 3', '2021-06-07 17:47:32', '2021-06-07 17:47:32');
-- --------------------------------------------------------
--
-- Table structure for table `tbl_detail_penghuni`
--
CREATE TABLE `tbl_detail_penghuni` (
`penghuni_id` int(11) NOT NULL,
`nik_penghuni` int(20) DEFAULT NULL,
`nama_penghuni` varchar(50) DEFAULT NULL,
`alamat_penghuni` text DEFAULT NULL,
`wa_penghuni` varchar(20) DEFAULT NULL,
`ktp_penghuni` varchar(50) DEFAULT NULL,
`created_at` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE current_timestamp(),
`updated_at` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tbl_detail_penghuni`
--
INSERT INTO `tbl_detail_penghuni` (`penghuni_id`, `nik_penghuni`, `nama_penghuni`, `alamat_penghuni`, `wa_penghuni`, `ktp_penghuni`, `created_at`, `updated_at`) VALUES
(11, 123123123, 'Wantrisnadi Gusti', 'Bekasi', '082118580955', 'Wantris.jpg', '2021-08-08 00:13:55', '2021-08-08 00:13:55'),
(12, 1234567, 'Cepi Cahyana', 'Kp. peer Rt.03 Rw.23 kec.Ciwidey Des.Ciwidey Kab.Bandung', '082118480955', 'image.jpg', '2021-08-18 23:30:28', '2021-08-18 16:30:28'),
(15, NULL, NULL, NULL, NULL, NULL, '2021-08-18 16:48:09', '2021-08-18 16:48:09');
-- --------------------------------------------------------
--
-- Table structure for table `tbl_fasilitas`
--
CREATE TABLE `tbl_fasilitas` (
`id` int(11) NOT NULL,
`jenis` varchar(25) NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tbl_fasilitas`
--
INSERT INTO `tbl_fasilitas` (`id`, `jenis`, `created_at`, `updated_at`) VALUES
(1, 'Biasa', '2021-06-07 17:20:48', '2021-06-07 17:20:48'),
(2, 'AC', '2021-06-07 17:21:53', '2021-06-07 17:21:53');
-- --------------------------------------------------------
--
-- Table structure for table `tbl_kamar`
--
CREATE TABLE `tbl_kamar` (
`id` int(11) NOT NULL,
`no_kamar` int(10) NOT NULL,
`id_fasilitas` int(11) NOT NULL,
`id_cabang` int(11) NOT NULL,
`status_kamar` varchar(25) DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tbl_kamar`
--
INSERT INTO `tbl_kamar` (`id`, `no_kamar`, `id_fasilitas`, `id_cabang`, `status_kamar`, `created_at`, `updated_at`) VALUES
(9, 1, 2, 1, 'Terisi', '2021-07-22 05:06:17', '2021-07-28 18:10:27'),
(10, 2, 2, 1, 'Terisi', '2021-07-22 05:06:24', '2021-08-01 19:55:48'),
(11, 3, 2, 1, 'Kosong', '2021-07-22 05:06:31', '2021-08-21 03:19:27'),
(12, 4, 1, 1, 'Terisi', '2021-07-22 05:06:35', '2021-08-18 17:09:33'),
(13, 5, 1, 1, 'Kosong', '2021-07-22 05:06:39', '2021-07-22 05:06:39'),
(14, 6, 1, 1, 'Kosong', '2021-07-22 05:06:43', '2021-07-22 05:06:43'),
(15, 7, 1, 1, 'Kosong', '2021-07-22 05:06:47', '2021-07-22 05:06:47'),
(16, 8, 1, 1, 'Kosong', '2021-07-22 05:06:51', '2021-07-22 05:06:51'),
(17, 9, 1, 1, 'Kosong', '2021-07-22 05:06:55', '2021-07-22 05:06:55'),
(18, 10, 1, 1, 'Kosong', '2021-07-22 05:06:58', '2021-07-22 05:06:58'),
(19, 11, 1, 1, 'Kosong', '2021-07-22 05:07:04', '2021-07-22 05:07:04'),
(20, 12, 1, 1, 'Kosong', '2021-07-22 05:07:08', '2021-07-22 05:07:08'),
(21, 13, 1, 1, 'Kosong', '2021-07-22 05:07:14', '2021-07-22 05:07:14'),
(22, 14, 1, 1, 'Kosong', '2021-07-22 05:07:18', '2021-07-22 05:07:18'),
(23, 15, 1, 1, 'Kosong', '2021-07-22 05:07:22', '2021-07-22 05:07:22'),
(24, 16, 1, 1, 'Kosong', '2021-07-22 05:07:27', '2021-07-22 05:07:27'),
(25, 17, 1, 1, 'Kosong', '2021-07-22 05:07:31', '2021-07-22 05:07:31'),
(26, 18, 1, 1, 'Kosong', '2021-07-22 05:07:37', '2021-07-22 05:07:37'),
(27, 19, 1, 1, 'Kosong', '2021-07-22 05:07:41', '2021-07-22 05:07:41'),
(28, 20, 1, 1, 'Kosong', '2021-07-22 05:07:52', '2021-07-22 05:07:52'),
(29, 21, 1, 1, 'Kosong', '2021-07-22 05:07:58', '2021-07-22 05:07:58'),
(30, 1, 1, 2, 'Kosong', '2021-07-22 05:09:45', '2021-07-22 05:09:45'),
(31, 2, 1, 2, 'Kosong', '2021-07-22 05:09:54', '2021-07-22 05:09:54'),
(32, 3, 1, 2, 'Kosong', '2021-07-22 05:10:01', '2021-07-22 05:10:01'),
(33, 4, 1, 2, 'Kosong', '2021-07-22 05:10:07', '2021-07-22 05:10:07'),
(34, 5, 1, 2, 'Kosong', '2021-07-22 05:10:12', '2021-07-22 05:10:12'),
(35, 6, 1, 2, 'Kosong', '2021-07-22 05:10:18', '2021-07-22 05:10:18'),
(36, 7, 1, 2, 'Kosong', '2021-07-22 05:10:24', '2021-07-22 05:10:24'),
(37, 8, 1, 2, 'Kosong', '2021-07-22 05:10:29', '2021-07-22 05:10:29'),
(38, 9, 1, 2, 'Kosong', '2021-07-22 05:10:38', '2021-07-22 05:10:38'),
(39, 10, 1, 2, 'Kosong', '2021-07-22 05:10:44', '2021-07-22 05:10:44'),
(40, 11, 1, 2, 'Kosong', '2021-07-22 05:10:50', '2021-07-22 05:10:50'),
(41, 12, 1, 2, 'Kosong', '2021-07-22 05:10:55', '2021-07-22 05:10:55'),
(42, 13, 1, 2, 'Kosong', '2021-07-22 05:11:01', '2021-07-22 05:11:01'),
(43, 14, 1, 2, 'Kosong', '2021-07-22 05:11:06', '2021-07-22 05:11:06'),
(44, 15, 1, 2, 'Kosong', '2021-07-22 05:11:12', '2021-07-22 05:11:12'),
(45, 16, 1, 2, 'Kosong', '2021-07-22 05:11:17', '2021-07-22 05:11:17'),
(46, 1, 1, 3, 'Kosong', '2021-07-22 05:14:02', '2021-07-22 05:14:02'),
(47, 2, 1, 3, 'Kosong', '2021-07-22 05:14:07', '2021-07-22 05:14:07'),
(48, 3, 1, 3, 'Kosong', '2021-07-22 05:14:12', '2021-07-22 05:14:12'),
(49, 4, 1, 3, 'Kosong', '2021-07-22 05:14:17', '2021-07-22 05:14:17'),
(50, 5, 1, 3, 'Kosong', '2021-07-22 05:14:22', '2021-07-22 05:14:22'),
(51, 6, 1, 3, 'Kosong', '2021-07-22 05:14:27', '2021-07-22 05:14:27'),
(52, 8, 1, 3, 'Kosong', '2021-07-22 05:14:35', '2021-07-22 05:14:35'),
(53, 9, 1, 3, 'Kosong', '2021-07-22 05:14:40', '2021-07-22 05:14:40'),
(54, 10, 1, 3, 'Kosong', '2021-07-22 05:14:47', '2021-07-22 05:14:47');
-- --------------------------------------------------------
--
-- Table structure for table `tbl_keluhan`
--
CREATE TABLE `tbl_keluhan` (
`id` int(11) NOT NULL,
`id_sewa` int(11) NOT NULL,
`keluhan` text NOT NULL,
`status` varchar(25) NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tbl_keluhan`
--
INSERT INTO `tbl_keluhan` (`id`, `id_sewa`, `keluhan`, `status`, `created_at`, `updated_at`) VALUES
(2, 11, 'Lampu Mati', 'Selesai', '2021-07-31 17:30:08', '2021-08-07 17:25:14'),
(3, 15, 'Kipas Angin Mati', 'Menunggu', '2021-08-18 16:38:28', '2021-08-18 16:38:28');
-- --------------------------------------------------------
--
-- Table structure for table `tbl_pembayaran`
--
CREATE TABLE `tbl_pembayaran` (
`id` int(11) NOT NULL,
`id_sewa` int(11) NOT NULL,
`bayar_sewa` int(20) NOT NULL,
`tanggal_pembayaran` date NOT NULL,
`sisa_pembayaran` int(20) DEFAULT NULL,
`status_pembayaran` varchar(25) DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tbl_pembayaran`
--
INSERT INTO `tbl_pembayaran` (`id`, `id_sewa`, `bayar_sewa`, `tanggal_pembayaran`, `sisa_pembayaran`, `status_pembayaran`, `created_at`, `updated_at`) VALUES
(9, 11, 400000, '2021-08-04', 150000, 'Belum Lunas', '2021-08-03 19:35:08', '2021-08-03 19:35:08'),
(11, 15, 800000, '2021-08-05', 100000, 'Belum Lunas', '2021-08-05 02:00:22', '2021-08-05 02:00:22'),
(14, 17, 550000, '2021-09-01', 0, 'Lunas', '2021-08-21 04:50:14', '2021-08-21 04:50:14');
-- --------------------------------------------------------
--
-- Table structure for table `tbl_pengeluaran`
--
CREATE TABLE `tbl_pengeluaran` (
`id` int(11) NOT NULL,
`keterangan` varchar(100) NOT NULL,
`biaya` int(25) NOT NULL,
`tanggal` date NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tbl_pengeluaran`
--
INSERT INTO `tbl_pengeluaran` (`id`, `keterangan`, `biaya`, `tanggal`, `created_at`, `updated_at`) VALUES
(1, 'Bayar WIFI', 500000, '2021-08-02', '2021-08-06 17:58:16', '2021-08-06 17:58:16'),
(2, 'Beli Lampu', 10000, '2021-08-02', '2021-08-06 18:00:59', '2021-08-06 18:08:02');
-- --------------------------------------------------------
--
-- Table structure for table `tbl_penghuni`
--
CREATE TABLE `tbl_penghuni` (
`id` int(11) NOT NULL,
`username_penghuni` varchar(50) NOT NULL,
`password_penghuni` varchar(100) NOT NULL,
`status` varchar(25) NOT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tbl_penghuni`
--
INSERT INTO `tbl_penghuni` (`id`, `username_penghuni`, `password_penghuni`, `status`, `updated_at`, `created_at`) VALUES
(11, 'wacik', '$2y$10$3x9fIyp02ufeKfs7/EktH.F/3qBiZrnIx1iiUrTYZx7M87tTN/Wmu', 'Aktif', '2021-07-31 17:14:46', '2021-06-06 19:20:59'),
(12, 'cepi', '$2y$10$9ypVfFGisLt9d13P50K7NeVmi/f7fxdVihHB53kwgr6wQYRbxfSZy', 'Aktif', '2021-07-29 02:02:34', '2021-07-18 18:02:50'),
(15, 'test', '$2y$10$cPFLjUaSElRIGMBntxUslehES/ICdM6FPZeOckuf/FLbfI0elM5Aq', 'Non-Aktif', '2021-08-20 16:45:10', '2021-08-18 16:48:09');
-- --------------------------------------------------------
--
-- Table structure for table `tbl_pesan`
--
CREATE TABLE `tbl_pesan` (
`id` int(11) NOT NULL,
`nama` varchar(50) NOT NULL,
`alamat` text NOT NULL,
`no_wa` varchar(20) NOT NULL,
`id_fasilitas` int(11) NOT NULL,
`status` varchar(25) NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tbl_pesan`
--
INSERT INTO `tbl_pesan` (`id`, `nama`, `alamat`, `no_wa`, `id_fasilitas`, `status`, `created_at`, `updated_at`) VALUES
(1, 'Ucup', 'Ciwidey', '082118480955', 1, 'Ditolak', '2021-08-12 23:54:01', '2021-07-22 04:58:11'),
(2, 'Tatang', 'Garut', '082118480955', 1, 'Ditolak', '2021-08-05 23:54:09', '2021-07-25 18:48:13'),
(3, 'Dadang', 'Cianjur', '082118480955', 2, 'Diterima', '2021-08-06 23:54:15', '2021-07-25 18:53:11'),
(4, 'TOTO', 'Cinajur', '082118480955', 1, 'Diterima', '2021-08-10 16:50:14', '2021-08-18 17:21:16'),
(8, 'test', 'Garut', '082118480955', 2, 'Diterima', '2021-08-18 15:50:00', '2021-08-20 01:18:41');
-- --------------------------------------------------------
--
-- Table structure for table `tbl_sewa`
--
CREATE TABLE `tbl_sewa` (
`id` int(11) NOT NULL,
`id_kamar` int(11) NOT NULL,
`id_penghuni` int(11) NOT NULL,
`kost_bareng` varchar(25) DEFAULT NULL,
`tanggal_masuk` date NOT NULL,
`jangka_waktu` varchar(25) NOT NULL,
`bayar_sewa` int(25) DEFAULT NULL,
`tenggak_waktu` date DEFAULT NULL,
`status` varchar(25) NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tbl_sewa`
--
INSERT INTO `tbl_sewa` (`id`, `id_kamar`, `id_penghuni`, `kost_bareng`, `tanggal_masuk`, `jangka_waktu`, `bayar_sewa`, `tenggak_waktu`, `status`, `created_at`, `updated_at`) VALUES
(11, 9, 11, NULL, '2021-07-29', 'Bulan', 550000, '2021-09-26', 'Aktif', '2021-07-28 18:08:17', '2021-08-18 17:14:30'),
(15, 10, 12, NULL, '2021-08-02', 'Bulan', 900000, '2021-08-30', 'Aktif', '2021-08-01 19:55:48', '2021-08-05 02:00:22'),
(17, 12, 15, NULL, '2021-08-19', 'Bulan', 550000, '2021-10-19', 'Aktif', '2021-08-18 17:09:33', '2021-08-21 04:50:14');
-- --------------------------------------------------------
--
-- Table structure for table `tbl_site`
--
CREATE TABLE `tbl_site` (
`id` int(11) NOT NULL,
`keterangan` varchar(25) NOT NULL,
`isi` text NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Indexes for dumped tables
--
--
-- Indexes for table `tbl_admin`
--
ALTER TABLE `tbl_admin`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `tbl_cabang`
--
ALTER TABLE `tbl_cabang`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `tbl_detail_penghuni`
--
ALTER TABLE `tbl_detail_penghuni`
ADD UNIQUE KEY `penghuni_id` (`penghuni_id`),
ADD KEY `id` (`penghuni_id`);
--
-- Indexes for table `tbl_fasilitas`
--
ALTER TABLE `tbl_fasilitas`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `tbl_kamar`
--
ALTER TABLE `tbl_kamar`
ADD PRIMARY KEY (`id`),
ADD KEY `id_fasilitas` (`id_fasilitas`,`id_cabang`),
ADD KEY `id_cabang` (`id_cabang`);
--
-- Indexes for table `tbl_keluhan`
--
ALTER TABLE `tbl_keluhan`
ADD PRIMARY KEY (`id`),
ADD KEY `id_sewa` (`id_sewa`);
--
-- Indexes for table `tbl_pembayaran`
--
ALTER TABLE `tbl_pembayaran`
ADD PRIMARY KEY (`id`),
ADD KEY `id_sewa` (`id_sewa`);
--
-- Indexes for table `tbl_pengeluaran`
--
ALTER TABLE `tbl_pengeluaran`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `tbl_penghuni`
--
ALTER TABLE `tbl_penghuni`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `tbl_pesan`
--
ALTER TABLE `tbl_pesan`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `tbl_sewa`
--
ALTER TABLE `tbl_sewa`
ADD PRIMARY KEY (`id`),
ADD KEY `id_kamar` (`id_kamar`,`id_penghuni`),
ADD KEY `id_penghuni` (`id_penghuni`);
--
-- Indexes for table `tbl_site`
--
ALTER TABLE `tbl_site`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `tbl_admin`
--
ALTER TABLE `tbl_admin`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT for table `tbl_cabang`
--
ALTER TABLE `tbl_cabang`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT for table `tbl_fasilitas`
--
ALTER TABLE `tbl_fasilitas`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT for table `tbl_kamar`
--
ALTER TABLE `tbl_kamar`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=55;
--
-- AUTO_INCREMENT for table `tbl_keluhan`
--
ALTER TABLE `tbl_keluhan`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `tbl_pembayaran`
--
ALTER TABLE `tbl_pembayaran`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=15;
--
-- AUTO_INCREMENT for table `tbl_pengeluaran`
--
ALTER TABLE `tbl_pengeluaran`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `tbl_penghuni`
--
ALTER TABLE `tbl_penghuni`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=17;
--
-- AUTO_INCREMENT for table `tbl_pesan`
--
ALTER TABLE `tbl_pesan`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=9;
--
-- AUTO_INCREMENT for table `tbl_sewa`
--
ALTER TABLE `tbl_sewa`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=18;
--
-- AUTO_INCREMENT for table `tbl_site`
--
ALTER TABLE `tbl_site`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `tbl_detail_penghuni`
--
ALTER TABLE `tbl_detail_penghuni`
ADD CONSTRAINT `tbl_detail_penghuni_ibfk_1` FOREIGN KEY (`penghuni_id`) REFERENCES `tbl_penghuni` (`id`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Constraints for table `tbl_kamar`
--
ALTER TABLE `tbl_kamar`
ADD CONSTRAINT `tbl_kamar_ibfk_1` FOREIGN KEY (`id_fasilitas`) REFERENCES `tbl_fasilitas` (`id`),
ADD CONSTRAINT `tbl_kamar_ibfk_2` FOREIGN KEY (`id_cabang`) REFERENCES `tbl_cabang` (`id`);
--
-- Constraints for table `tbl_keluhan`
--
ALTER TABLE `tbl_keluhan`
ADD CONSTRAINT `tbl_keluhan_ibfk_1` FOREIGN KEY (`id_sewa`) REFERENCES `tbl_sewa` (`id`);
--
-- Constraints for table `tbl_pembayaran`
--
ALTER TABLE `tbl_pembayaran`
ADD CONSTRAINT `tbl_pembayaran_ibfk_1` FOREIGN KEY (`id_sewa`) REFERENCES `tbl_sewa` (`id`);
--
-- Constraints for table `tbl_sewa`
--
ALTER TABLE `tbl_sewa`
ADD CONSTRAINT `tbl_sewa_ibfk_1` FOREIGN KEY (`id_penghuni`) REFERENCES `tbl_penghuni` (`id`),
ADD CONSTRAINT `tbl_sewa_ibfk_2` FOREIGN KEY (`id_kamar`) REFERENCES `tbl_kamar` (`id`);
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
GRANT ALL PRIVILEGES ON DATABASE reefexplorer TO reefexplorer;
CREATE TABLE IF NOT EXISTS block (
block_number BIGINT NOT NULL,
finalized BOOLEAN NOT NULL,
block_author TEXT NOT NULL,
block_author_name TEXT NOT NULL,
block_hash TEXT NOT NULL,
parent_hash TEXT NOT NULL,
extrinsics_root TEXT NOT NULL,
state_root TEXT NOT NULL,
active_era BIGINT NOT NULL,
current_index BIGINT NOT NULL,
is_election BOOLEAN NOT NULL,
spec_name TEXT NOT NULL,
spec_version INT NOT NULL,
total_events INT NOT NULL,
total_extrinsics INT NOT NULL,
total_issuance NUMERIC(40,0) NOT NULL,
timestamp BIGINT NOT NULL,
PRIMARY KEY ( block_number )
);
CREATE TABLE IF NOT EXISTS harvest_error (
block_number BIGINT NOT NULL,
error TEXT NOT NULL,
timestamp BIGINT NOT NULL,
PRIMARY KEY ( block_number )
);
CREATE TABLE IF NOT EXISTS event (
block_number BIGINT NOT NULL,
event_index INT NOT NULL,
section TEXT NOT NULL,
method TEXT NOT NULL,
phase TEXT NOT NULL,
data TEXT NOT NULL,
timestamp BIGINT NOT NULL,
PRIMARY KEY ( block_number, event_index )
);
CREATE TABLE IF NOT EXISTS staking_reward (
block_number BIGINT NOT NULL,
event_index INT NOT NULL,
account_id TEXT NOT NULL,
amount NUMERIC(40,0) NOT NULL,
timestamp BIGINT NOT NULL,
PRIMARY KEY ( block_number, event_index )
);
CREATE TABLE IF NOT EXISTS staking_slash (
block_number BIGINT NOT NULL,
event_index INT NOT NULL,
account_id TEXT NOT NULL,
amount NUMERIC(40,0) NOT NULL,
timestamp BIGINT NOT NULL,
PRIMARY KEY ( block_number, event_index )
);
CREATE TABLE IF NOT EXISTS extrinsic (
block_number BIGINT NOT NULL,
extrinsic_index INT NOT NULL,
is_signed BOOLEAN NOT NULL,
signer TEXT,
section TEXT NOT NULL,
method TEXT NOT NULL,
args TEXT NOT NULL,
hash TEXT NOT NULL,
doc TEXT NOT NULL,
fee_info TEXT NOT NULL,
fee_details TEXT NOT NULL,
success BOOLEAN NOT NULL,
timestamp BIGINT NOT NULL,
PRIMARY KEY ( block_number, extrinsic_index )
);
CREATE TABLE IF NOT EXISTS signed_extrinsic (
block_number BIGINT NOT NULL,
extrinsic_index INT NOT NULL,
signer TEXT NOT NULL,
section TEXT NOT NULL,
method TEXT NOT NULL,
args TEXT NOT NULL,
hash TEXT NOT NULL,
doc TEXT NOT NULL,
fee_info TEXT NOT NULL,
fee_details TEXT NOT NULL,
success BOOLEAN NOT NULL,
timestamp BIGINT NOT NULL,
PRIMARY KEY ( block_number, extrinsic_index )
);
CREATE TABLE IF NOT EXISTS transfer (
block_number BIGINT NOT NULL,
extrinsic_index INT NOT NULL,
section TEXT NOT NULL,
method TEXT NOT NULL,
hash TEXT NOT NULL,
source TEXT NOT NULL,
destination TEXT NOT NULL,
amount NUMERIC(40,0) NOT NULL,
denom TEXT NOT NULL,
fee_amount NUMERIC(40,0) NOT NULL,
success BOOLEAN NOT NULL,
error_message TEXT DEFAULT NULL,
timestamp BIGINT NOT NULL,
PRIMARY KEY ( block_number, extrinsic_index )
);
CREATE TABLE IF NOT EXISTS log (
block_number BIGINT NOT NULL,
log_index INT NOT NULL,
type TEXT,
engine TEXT NOT NULL,
data TEXT NOT NULL,
timestamp BIGINT NOT NULL,
PRIMARY KEY ( block_number, log_index )
);
CREATE TABLE IF NOT EXISTS ranking (
block_height BIGINT NOT NULL,
rank INT NOT NULL,
active BOOLEAN NOT NULL,
active_rating INT NOT NULL,
name TEXT NOT NULL,
identity TEXT NOT NULL,
has_sub_identity BOOLEAN NOT NULL,
sub_accounts_rating INT NOT NULL,
verified_identity BOOLEAN NOT NULL,
identity_rating INT NOT NULL,
stash_address TEXT NOT NULL,
stash_address_creation_block BIGINT NOT NULL,
stash_parent_address_creation_block BIGINT NOT NULL,
address_creation_rating INT NOT NULL,
controller_address TEXT NOT NULL,
part_of_cluster BOOLEAN NOT NULL,
cluster_name TEXT NOT NULL,
cluster_members INT NOT NULL,
show_cluster_member BOOLEAN NOT NULL,
nominators INT NOT NULL,
nominators_rating INT NOT NULL,
commission TEXT NOT NULL,
commission_history TEXT NOT NULL,
commission_rating INT NOT NULL,
active_eras INT NOT NULL,
era_points_history TEXT NOT NULL,
era_points_percent TEXT NOT NULL,
era_points_rating INT NOT NULL,
performance TEXT NOT NULL,
performance_history TEXT NOT NULL,
relative_performance TEXT NOT NULL,
relative_performance_history TEXT NOT NULL,
slashed BOOLEAN NOT NULL,
slash_rating INT NOT NULL,
slashes TEXT NOT NULL,
payout_history TEXT NOT NULL,
payout_rating INT NOT NULL,
self_stake NUMERIC(40,0) NOT NULL,
other_stake NUMERIC(40,0) NOT NULL,
total_stake NUMERIC(40,0) NOT NULL,
stake_history TEXT NOT NULL,
total_rating INT NOT NULL,
dominated BOOLEAN NOT NULL,
timestamp BIGINT NOT NULL,
PRIMARY KEY ( block_height, stash_address )
);
CREATE TABLE IF NOT EXISTS era_vrc_score (
stash_address TEXT NOT NULL,
era INT NOT NULL,
vrc_score INT NOT NULL,
PRIMARY KEY ( stash_address, era )
);
CREATE TABLE IF NOT EXISTS era_commission (
stash_address TEXT NOT NULL,
era INT NOT NULL,
commission FLOAT NOT NULL,
PRIMARY KEY ( stash_address, era )
);
CREATE TABLE IF NOT EXISTS era_commission_avg (
era INT NOT NULL,
commission_avg FLOAT NOT NULL,
PRIMARY KEY ( era )
);
CREATE TABLE IF NOT EXISTS era_self_stake (
stash_address TEXT NOT NULL,
era INT NOT NULL,
self_stake NUMERIC(40,0) NOT NULL,
PRIMARY KEY ( stash_address, era )
);
CREATE TABLE IF NOT EXISTS era_self_stake_avg (
era INT NOT NULL,
self_stake_avg NUMERIC(40,0) NOT NULL,
PRIMARY KEY ( era )
);
CREATE TABLE IF NOT EXISTS era_relative_performance (
stash_address TEXT NOT NULL,
era INT NOT NULL,
relative_performance FLOAT NOT NULL,
PRIMARY KEY ( stash_address, era )
);
CREATE TABLE IF NOT EXISTS era_relative_performance_avg (
era INT NOT NULL,
relative_performance_avg FLOAT NOT NULL,
PRIMARY KEY ( era )
);
CREATE TABLE IF NOT EXISTS era_points (
stash_address TEXT NOT NULL,
era INT NOT NULL,
points INT NOT NULL,
PRIMARY KEY ( stash_address, era )
);
CREATE TABLE IF NOT EXISTS era_points_avg (
era INT NOT NULL,
points_avg FLOAT NOT NULL,
PRIMARY KEY ( era )
);
CREATE TABLE IF NOT EXISTS account (
account_id TEXT NOT NULL,
identity TEXT NOT NULL,
identity_display TEXT NOT NULL,
identity_display_parent TEXT NOT NULL,
balances TEXT NOT NULL,
available_balance NUMERIC(40,0) NOT NULL,
free_balance NUMERIC(40,0) NOT NULL,
locked_balance NUMERIC(40,0) NOT NULL,
nonce BIGINT NOT NULL,
timestamp BIGINT NOT NULL,
block_height BIGINT NOT NULL,
evm_address TEXT DEFAULT NULL,
PRIMARY KEY ( account_id )
);
CREATE TABLE IF NOT EXISTS contract (
contract_id TEXT NOT NULL,
name TEXT NOT NULL,
bytecode TEXT NOT NULL,
arguments TEXT DEFAULT NULL,
value TEXT NOT NULL,
gas_limit TEXT NOT NULL,
storage_limit TEXT NOT NULL,
signer TEXT NOT NULL,
block_height BIGINT NOT NULL,
verified BOOLEAN DEFAULT FALSE,
source TEXT DEFAULT NULL,
compiler_version TEXT DEFAULT NULL,
optimization BOOLEAN DEFAULT NULL,
runs INT DEFAULT NULL,
target TEXT DEFAULT NULL,
abi TEXT DEFAULT NULL,
license TEXT DEFAULT NULL,
-- token tracker
is_erc20 BOOLEAN DEFAULT FALSE,
token_name TEXT DEFAULT NULL,
token_symbol TEXT DEFAULT NULL,
token_decimals INT DEFAULT NULL,
token_total_supply NUMERIC(40,0) DEFAULT NULL,
-- token tracker
timestamp BIGINT NOT NULL,
PRIMARY KEY ( contract_id )
);
CREATE TABLE IF NOT EXISTS token_holder (
contract_id TEXT NOT NULL,
holder_account_id TEXT DEFAULT NULL,
holder_evm_address TEXT DEFAULT NULL,
balance NUMERIC(40,0) DEFAULT NULL,
block_height BIGINT NOT NULL,
timestamp BIGINT NOT NULL,
PRIMARY KEY ( contract_id, holder_evm_address )
);
CREATE TABLE IF NOT EXISTS contract_verification_request (
id TEXT NOT NULL,
contract_id TEXT NOT NULL,
source TEXT NOT NULL,
filename TEXT NOT NULL,
compiler_version TEXT NOT NULL,
arguments TEXT DEFAULT NULL,
optimization BOOLEAN NOT NULL,
runs INT NOT NULL,
target TEXT NOT NULL,
license TEXT NOT NULL,
status TEXT NOT NULL,
error_type TEXT DEFAULT NULL,
error_message TEXT DEFAULT NULL,
timestamp BIGINT NOT NULL,
PRIMARY KEY ( id )
);
CREATE TABLE IF NOT EXISTS total (
name TEXT,
count NUMERIC(40,0) NOT NULL,
PRIMARY KEY ( name )
);
INSERT INTO total (name, count) VALUES
('blocks', 0),
('extrinsics', 0),
('transfers', 0),
('events', 0),
('active_validator_count', 0),
('waiting_validator_count', 0),
('nominator_count', 0),
('current_era', 0),
('active_era', 0),
('minimum_stake', 0),
('contracts', 0);
CREATE INDEX IF NOT EXISTS block_finalized_idx ON block (finalized);
CREATE INDEX IF NOT EXISTS block_block_number_idx ON block (block_number);
CREATE INDEX IF NOT EXISTS block_block_hash_idx ON block (block_hash);
CREATE INDEX IF NOT EXISTS extrinsic_block_number_idx ON extrinsic (block_number);
CREATE INDEX IF NOT EXISTS extrinsic_section_idx ON extrinsic (section);
CREATE INDEX IF NOT EXISTS extrinsic_method_idx ON extrinsic (method);
CREATE INDEX IF NOT EXISTS extrinsic_signer_idx ON extrinsic (signer);
CREATE INDEX IF NOT EXISTS extrinsic_hash_idx ON extrinsic (hash);
CREATE INDEX IF NOT EXISTS signed_extrinsic_block_number_idx ON signed_extrinsic (block_number);
CREATE INDEX IF NOT EXISTS signed_extrinsic_section_idx ON signed_extrinsic (section);
CREATE INDEX IF NOT EXISTS signed_extrinsic_method_idx ON signed_extrinsic (method);
CREATE INDEX IF NOT EXISTS signed_extrinsic_signer_idx ON signed_extrinsic (signer);
CREATE INDEX IF NOT EXISTS signed_extrinsic_hash_idx ON signed_extrinsic (hash);
CREATE INDEX IF NOT EXISTS transfer_block_number_idx ON transfer (block_number);
CREATE INDEX IF NOT EXISTS transfer_section_idx ON transfer (section);
CREATE INDEX IF NOT EXISTS transfer_method_idx ON transfer (method);
CREATE INDEX IF NOT EXISTS transfer_source_idx ON transfer (source);
CREATE INDEX IF NOT EXISTS transfer_destination_idx ON transfer (destination);
CREATE INDEX IF NOT EXISTS transfer_hash_idx ON transfer (hash);
CREATE INDEX IF NOT EXISTS event_block_number_idx ON event (block_number);
CREATE INDEX IF NOT EXISTS event_section_idx ON event (section);
CREATE INDEX IF NOT EXISTS event_method_idx ON event (method);
CREATE INDEX IF NOT EXISTS staking_reward_block_number_idx ON staking_reward (block_number);
CREATE INDEX IF NOT EXISTS staking_reward_account_id_idx ON staking_reward (account_id);
CREATE INDEX IF NOT EXISTS staking_slash_block_number_idx ON staking_slash (block_number);
CREATE INDEX IF NOT EXISTS staking_slash_account_id_idx ON staking_slash (account_id);
CREATE INDEX IF NOT EXISTS account_evm_address_idx ON account (evm_address);
GRANT ALL PRIVILEGES ON TABLE block TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE harvest_error TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE event TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE staking_reward TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE staking_slash TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE extrinsic TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE signed_extrinsic TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE transfer TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE ranking TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE era_vrc_score TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE era_commission TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE era_commission_avg TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE era_self_stake TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE era_self_stake_avg TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE era_relative_performance TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE era_relative_performance_avg TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE era_points TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE era_points_avg TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE account TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE total TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE contract TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE contract_verification_request TO reefexplorer;
GRANT ALL PRIVILEGES ON TABLE token_holder TO reefexplorer;
--
-- Fast counters
--
-- Taken from https://www.cybertec-postgresql.com/en/postgresql-count-made-fast/
--
-- Block
START TRANSACTION;
CREATE FUNCTION block_count() RETURNS trigger LANGUAGE plpgsql AS
$$BEGIN
IF TG_OP = 'INSERT' THEN
UPDATE total SET count = count + 1 WHERE name = 'blocks';
RETURN NEW;
ELSIF TG_OP = 'DELETE' THEN
UPDATE total SET count = count - 1 WHERE name = 'blocks';
RETURN OLD;
ELSE
UPDATE total SET count = 0 WHERE name = 'blocks';
RETURN NULL;
END IF;
END;$$;
CREATE CONSTRAINT TRIGGER block_count_mod
AFTER INSERT OR DELETE ON block
DEFERRABLE INITIALLY DEFERRED
FOR EACH ROW EXECUTE PROCEDURE block_count();
-- TRUNCATE triggers must be FOR EACH STATEMENT
CREATE TRIGGER block_count_trunc AFTER TRUNCATE ON block
FOR EACH STATEMENT EXECUTE PROCEDURE block_count();
-- initialize the counter table
UPDATE total SET count = (SELECT count(*) FROM block) WHERE name = 'blocks';
COMMIT;
-- Extrinsics
START TRANSACTION;
CREATE FUNCTION extrinsic_count() RETURNS trigger LANGUAGE plpgsql AS
$$BEGIN
IF TG_OP = 'INSERT' THEN
UPDATE total SET count = count + 1 WHERE name = 'extrinsics';
RETURN NEW;
ELSIF TG_OP = 'DELETE' THEN
UPDATE total SET count = count - 1 WHERE name = 'extrinsics';
RETURN OLD;
ELSE
UPDATE total SET count = 0 WHERE name = 'extrinsics';
RETURN NULL;
END IF;
END;$$;
CREATE CONSTRAINT TRIGGER extrinsic_count_mod
AFTER INSERT OR DELETE ON extrinsic
DEFERRABLE INITIALLY DEFERRED
FOR EACH ROW EXECUTE PROCEDURE extrinsic_count();
-- TRUNCATE triggers must be FOR EACH STATEMENT
CREATE TRIGGER extrinsic_count_trunc AFTER TRUNCATE ON extrinsic
FOR EACH STATEMENT EXECUTE PROCEDURE extrinsic_count();
-- initialize the counter table
UPDATE total SET count = (SELECT count(*) FROM extrinsic) WHERE name = 'extrinsics';
COMMIT;
-- Events
START TRANSACTION;
CREATE FUNCTION event_count() RETURNS trigger LANGUAGE plpgsql AS
$$BEGIN
IF TG_OP = 'INSERT' THEN
UPDATE total SET count = count + 1 WHERE name = 'events';
RETURN NEW;
ELSIF TG_OP = 'DELETE' THEN
UPDATE total SET count = count - 1 WHERE name = 'events';
RETURN OLD;
ELSE
UPDATE total SET count = 0 WHERE name = 'events';
RETURN NULL;
END IF;
END;$$;
CREATE CONSTRAINT TRIGGER event_count_mod
AFTER INSERT OR DELETE ON event
DEFERRABLE INITIALLY DEFERRED
FOR EACH ROW EXECUTE PROCEDURE event_count();
-- TRUNCATE triggers must be FOR EACH STATEMENT
CREATE TRIGGER event_count_trunc AFTER TRUNCATE ON event
FOR EACH STATEMENT EXECUTE PROCEDURE event_count();
-- initialize the counter table
UPDATE total SET count = (SELECT count(*) FROM event) WHERE name = 'events';
COMMIT;
|
CREATE TABLE kinesis_consumer (
namespace text NOT NULL,
shard_id text NOT NULL,
sequence_number numeric NOT NULL,
CONSTRAINT kinesis_consumer_pk PRIMARY KEY (namespace, shard_id)
);
|
# --- !Ups
UPDATE tag SET tag = 'trash/recycling can' WHERE tag = 'trash can';
# --- !Downs
UPDATE tag SET tag = 'trash can' WHERE tag = 'trash/recycling can';
|
SELECT distinct
min(ct_referencenumber) as id
FROM PROD360.dbo.ct_contact
GROUP BY ct_referencenumber
HAVING (COUNT(ct_referencenumber) > 1)
order by id
|
INSERT INTO TIPO_BAIXA (ID, UID, VERSION, NOME) VALUES (nextval ('hibernate_sequence'), uuid_generate_v4(), 0, 'DINHEIRO');
INSERT INTO TIPO_BAIXA (ID, UID, VERSION, NOME) VALUES (nextval ('hibernate_sequence'), uuid_generate_v4(), 0, 'CHEQUE');
INSERT INTO TIPO_BAIXA (ID, UID, VERSION, NOME) VALUES (nextval ('hibernate_sequence'), uuid_generate_v4(), 0, 'CHEQUE PRÉ-DATADO');
INSERT INTO TIPO_BAIXA (ID, UID, VERSION, NOME) VALUES (nextval ('hibernate_sequence'), uuid_generate_v4(), 0, 'DEPÓSITO EM DINHEIRO');
INSERT INTO TIPO_BAIXA (ID, UID, VERSION, NOME) VALUES (nextval ('hibernate_sequence'), uuid_generate_v4(), 0, 'DEPÓSITO EM CHEQUE');
INSERT INTO TIPO_BAIXA (ID, UID, VERSION, NOME) VALUES (nextval ('hibernate_sequence'), uuid_generate_v4(), 0, 'MATERIAL');
INSERT INTO TIPO_BAIXA (ID, UID, VERSION, NOME) VALUES (nextval ('hibernate_sequence'), uuid_generate_v4(), 0, 'SERVIÇO');
INSERT INTO TIPO_BAIXA (ID, UID, VERSION, NOME) VALUES (nextval ('hibernate_sequence'), uuid_generate_v4(), 0, 'DESCONTO');
INSERT INTO TIPO_BAIXA (ID, UID, VERSION, NOME) VALUES (nextval ('hibernate_sequence'), uuid_generate_v4(), 0, 'ESTORNO DE LÇTO.');
INSERT INTO TIPO_BAIXA (ID, UID, VERSION, NOME) VALUES (nextval ('hibernate_sequence'), uuid_generate_v4(), 0, 'LANÇAMENTO A CRÉDITO');
INSERT INTO TIPO_BAIXA (ID, UID, VERSION, NOME) VALUES (nextval ('hibernate_sequence'), uuid_generate_v4(), 0, 'PAGAMENTO');
INSERT INTO TIPO_BAIXA (ID, UID, VERSION, NOME) VALUES (nextval ('hibernate_sequence'), uuid_generate_v4(), 0, 'COBRANÇA FATURA');
INSERT INTO TIPO_BAIXA (ID, UID, VERSION, NOME) VALUES (nextval ('hibernate_sequence'), uuid_generate_v4(), 0, 'BLOQUETO BANCÁRIO');
INSERT INTO TIPO_BAIXA (ID, UID, VERSION, NOME) VALUES (nextval ('hibernate_sequence'), uuid_generate_v4(), 0, 'DOC. CRÉDITO A VISTA');
|
/* -----------------------------------------------------------------------------
Delete all data from the PIMS_INSURANCE_TYPE table and repopulate.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Author Date Comment
------------ ----------- -----------------------------------------------------
Doug Filteau 2021-Aug-24 Initial version
----------------------------------------------------------------------------- */
DELETE FROM PIMS_INSURANCE_TYPE
GO
INSERT INTO PIMS_INSURANCE_TYPE (INSURANCE_TYPE_CODE, DESCRIPTION, DISPLAY_ORDER)
VALUES
(N'GENERAL', N'Commercial General Liability (CGL)', 2),
(N'VEHICLE', N'Vehicle Liability Coverage', 4),
(N'AIRCRAFT', N'Aircraft Liability Coverage', 1),
(N'MARINE', N'Marine Liability Coverage', 3),
(N'OTHER', N'Other Insurance Coverage', 99);
|
--
SELECT *
FROM authentication
WHERE identifier = $(identifier)
|
DROP TABLE device_identifier;
DROP TABLE device_model;
DROP TABLE user_session;
DROP TABLE users;
CREATE TABLE device_model
(
manufactur text NOT NULL,
model text NOT NULL,
name text NOT NULL,
description text NOT NULL,
CONSTRAINT "PK_DEVICE_MODEL" PRIMARY KEY (manufactur, model)
)
WITH (
OIDS=FALSE
);
ALTER TABLE device_model
OWNER TO postgres;
CREATE TABLE device_identifier
(
id varchar(100) NOT NULL,
id_type varchar(4) NOT NULL,
manufactur text NOT NULL,
model text NOT NULL,
created_time timestamp with time zone NOT NULL,
updated_time timestamp with time zone NOT NULL,
CONSTRAINT "PK_DEVICE_IDENTIFIER" PRIMARY KEY (id, id_type),
CONSTRAINT "FK_DEVICE_IDENTIFIER_DEVICE_MODEL" FOREIGN KEY (manufactur, model)
REFERENCES device_model (id) MATCH SIMPLE
ON UPDATE NO ACTION ON DELETE NO ACTION
)
WITH (
OIDS=FALSE
);
ALTER TABLE device_identifier
OWNER TO postgres;
CREATE INDEX "IDX_DEVICE_IDENTIFIER_MANUFACTUR_MODEL"
ON device_identifier
USING btree
(manufactur COLLATE pg_catalog."default", model COLLATE pg_catalog."default");
CREATE TABLE users
(
id bigint NOT NULL,
name bigint NOT NULL,
created_time timestamp with time zone NOT NULL,
updated_time timestamp with time zone NOT NULL,
CONSTRAINT "PK_USER" PRIMARY KEY (id)
)
WITH (
OIDS=FALSE
);
ALTER TABLE users
OWNER TO postgres;
CREATE TABLE user_session
(
id varchar(36) NOT NULL,
device_identifier_id bigint NOT NULL,
user_id bigint NOT NULL,
created_time timestamp with time zone NOT NULL,
updated_time timestamp with time zone NOT NULL,
CONSTRAINT "PK_USER_SESSION" PRIMARY KEY (id),
CONSTRAINT "FK_USER_SESSION_DEVICE_IDENTIFIER" FOREIGN KEY (device_identifier_id)
REFERENCES device_identifier (id) MATCH SIMPLE
ON UPDATE NO ACTION ON DELETE NO ACTION,
CONSTRAINT "FK_USER_SESSION_USER" FOREIGN KEY (user_id)
REFERENCES users (id) MATCH SIMPLE
ON UPDATE NO ACTION ON DELETE NO ACTION
)
WITH (
OIDS=FALSE
);
ALTER TABLE user_session
OWNER TO postgres;
CREATE INDEX "IDX_USER_SESSION_DEVICE_IDENTIFIER_ID"
ON user_session
USING btree
(device_identifier_id);
CREATE INDEX "IDX_USER_SESSION_USER_ID"
ON user_session
USING btree
(user_id);
|
-- @testpoint:openGauss保留关键字full同时作为表名和列名带引号，并进行dml操作,full列的值最终显示为1000
drop table if exists "full";
create table "full"(
c_id int, c_int int, c_integer integer, c_bool int, c_boolean int, c_bigint integer,
c_real real, c_double real,
c_decimal decimal(38), c_number number(38), c_numeric numeric(38),
c_char char(50) default null, c_varchar varchar(20), c_varchar2 varchar2(4000),
c_date date, c_datetime date, c_timestamp timestamp,
"full" varchar(100) default 'full'
)
PARTITION BY RANGE (c_integer)
(
partition P_20180121 values less than (0),
partition P_20190122 values less than (50000),
partition P_20200123 values less than (100000),
partition P_max values less than (maxvalue)
);
--插入数据
insert into "full"(c_id,"full") values(1,'hello');
insert into "full"(c_id,"full") values(2,'china');
--更新表数据
update "full" set "full"=1000 where "full"='hello';
--清理表数据
delete from "full" where "full"='china';
--查看表数据
select "full" from "full" where "full"!='hello' order by "full";
--清理环境
drop table "full";
|
USE T20;
INSERT IGNORE INTO `jos_dp_configuration` (`config_key`, `config_value`, `config_comment`, `config_env_specific`) VALUES
('apps.packages.path', '/nethdd/Data/acpkg/Packages/files/', 'App : Place to save a copy of package files', 0);
|
--- ================================================================================
--- compte_comptable
--- ================================================================================
-- compte_comptable
-- numero libelle
-- 401 Fournisseurs
-- 411 Clients
-- 4456 Taxes sur le chiffre d'affaires déductibles
-- 4457 Taxes sur le chiffre d'affaires collectées par l'entreprise
-- 512 Banque
-- 606 Achats non stockés de matières et fournitures
-- 706 Prestations de services
--
-- compte_comptable
--
-- numero libelle
-- CHAR(1) VARCHAR
INSERT INTO "remy-vallet_db_myerp".public.compte_comptable (numero, libelle) VALUES ( 401, 'Fournisseurs' );
INSERT INTO "remy-vallet_db_myerp".public.compte_comptable (numero, libelle) VALUES ( 411, 'Clients' );
INSERT INTO "remy-vallet_db_myerp".public.compte_comptable (numero, libelle) VALUES ( 4456, 'Taxes sur le chiffre d''affaires déductibles' );
INSERT INTO "remy-vallet_db_myerp".public.compte_comptable (numero, libelle) VALUES ( 4457, 'Taxes sur le chiffre d''affaires collectées par l''entreprise' );
INSERT INTO "remy-vallet_db_myerp".public.compte_comptable (numero, libelle) VALUES ( 512, 'Banque' );
INSERT INTO "remy-vallet_db_myerp".public.compte_comptable (numero, libelle) VALUES ( 606, 'Achats non stockés de matières et fournitures' );
INSERT INTO "remy-vallet_db_myerp".public.compte_comptable (numero, libelle) VALUES ( 706, 'Prestations de services' );
--- ================================================================================
--- journal_comptable
--- ================================================================================
-- journal_comptable
-- code libelle
-- AC Achat
-- VE Vente
-- BQ Banque
-- OD Opérations Diverses
--
-- journal_comptable
--
-- code libelle
-- VARCHAR VARCHAR
INSERT INTO "remy-vallet_db_myerp".public.journal_comptable (code, libelle) VALUES ( 'AC', 'Achat' );
INSERT INTO "remy-vallet_db_myerp".public.journal_comptable (code, libelle) VALUES ( 'VE', 'Vente' );
INSERT INTO "remy-vallet_db_myerp".public.journal_comptable (code, libelle) VALUES ( 'BQ', 'Banque' );
INSERT INTO "remy-vallet_db_myerp".public.journal_comptable (code, libelle) VALUES ( 'OD', 'Opérations Diverses' );
--- ================================================================================
--- sequence_ecriture_comptable
--- ================================================================================
-- sequence_ecriture_comptable
-- journal_code annee derniere_valeur
-- AC 2016 40
-- VE 2016 41
-- BQ 2016 51
-- OD 2016 88
--
-- sequence_ecriture_comptable
--
-- journal_code annee derniere_valeur
-- VARCHAR INTEGER INTEGER
INSERT INTO "remy-vallet_db_myerp".public.sequence_ecriture_comptable (journal_code, annee, derniere_valeur) values ( 'AC', 2016, 40 );
INSERT INTO "remy-vallet_db_myerp".public.sequence_ecriture_comptable (journal_code, annee, derniere_valeur) values ( 'VE', 2016, 41 );
INSERT INTO "remy-vallet_db_myerp".public.sequence_ecriture_comptable (journal_code, annee, derniere_valeur) values ( 'BQ', 2016, 51 );
INSERT INTO "remy-vallet_db_myerp".public.sequence_ecriture_comptable (journal_code, annee, derniere_valeur) values ( 'OD', 2016, 88 );
--- ================================================================================
--- ecriture_comptable
--- ================================================================================
-- ecriture_comptable
-- id journal_code reference date libelle
-- -1 AC AC-2016/00001 31/12/16 Cartouches d’imprimante
-- -2 VE VE-2016/00002 30/12/16 TMA Appli Xxx
-- -3 BQ BQ-2016/00003 29/12/16 Paiement Facture F110001
-- -4 VE VE-2016/00004 28/12/16 TMA Appli Yyy
-- -5 BQ BQ-2016/00005 27/12/16 Paiement Facture C110002
--
-- ecriture_comptable
--
-- id journal_code reference date libelle
-- INTEGER VARCHAR VARCHAR DATE VARCHAR
INSERT INTO "remy-vallet_db_myerp".public.ecriture_comptable (id,journal_code,reference,date,libelle) VALUES ( -1, 'AC', 'AC-2016/00001', '2016-12-31', 'Cartouches d’imprimante' );
INSERT INTO "remy-vallet_db_myerp".public.ecriture_comptable (id,journal_code,reference,date,libelle) VALUES ( -2, 'VE', 'VE-2016/00002', '2016-12-30', 'TMA Appli Xxx' );
INSERT INTO "remy-vallet_db_myerp".public.ecriture_comptable (id,journal_code,reference,date,libelle) VALUES ( -3, 'BQ', 'BQ-2016/00003', '2016-12-29', 'Paiement Facture F110001' );
INSERT INTO "remy-vallet_db_myerp".public.ecriture_comptable (id,journal_code,reference,date,libelle) VALUES ( -4, 'VE', 'VE-2016/00004', '2016-12-28', 'TMA Appli Yyy' );
INSERT INTO "remy-vallet_db_myerp".public.ecriture_comptable (id,journal_code,reference,date,libelle) VALUES ( -5, 'BQ', 'BQ-2016/00005', '2016-12-27', 'Paiement Facture C110002' );
--- ================================================================================
--- ligne_ecriture_comptable
--- ================================================================================
-- ligne_ecriture_comptable
-- ecriture_id ligne_id compte_comptable_numero libelle debit credit
-- -1 1 606 Cartouches d’imprimante 43,95
-- -1 2 4456 TVA 20% 8,79
-- -1 3 401 Facture F110001 52,74
-- -2 1 411 Facture C110002 3000
-- -2 2 706 TMA Appli Xxx 2500
-- -2 3 4457 TVA 20% 500
-- -3 1 401 52,74
-- -3 2 512 52,74
-- -4 1 411 Facture C110004 5700
-- -4 2 706 TMA Appli Xxx 4750
-- -4 3 4457 TVA 20% 950
-- -5 1 512 3000
-- -5 2 411 3000
--
-- ligne_ecriture_comptable
--
-- ecriture_id ligne_id compte_comptable_numero libelle debit credit
-- INTEGER INTEGER INTEGER VARCHAR NUMERIC(15,2) NUMERIC(15,2)
INSERT INTO "remy-vallet_db_myerp".public.ligne_ecriture_comptable (ecriture_id,ligne_id,compte_comptable_numero,libelle,debit,credit) VALUES ( -1, 1, 606, 'Cartouches d’imprimante', 43.95, null );
INSERT INTO "remy-vallet_db_myerp".public.ligne_ecriture_comptable (ecriture_id,ligne_id,compte_comptable_numero,libelle,debit,credit) VALUES ( -1, 2, 4456, 'TVA 20%', 8.79, null );
INSERT INTO "remy-vallet_db_myerp".public.ligne_ecriture_comptable (ecriture_id,ligne_id,compte_comptable_numero,libelle,debit,credit) VALUES ( -1, 3, 401, 'Facture F110001', null, 52.74 );
INSERT INTO "remy-vallet_db_myerp".public.ligne_ecriture_comptable (ecriture_id,ligne_id,compte_comptable_numero,libelle,debit,credit) VALUES ( -2, 1, 411, 'Facture C110002', 3000, null );
INSERT INTO "remy-vallet_db_myerp".public.ligne_ecriture_comptable (ecriture_id,ligne_id,compte_comptable_numero,libelle,debit,credit) VALUES ( -2, 2, 706, 'TMA Appli Xxx', null, 2500 );
INSERT INTO "remy-vallet_db_myerp".public.ligne_ecriture_comptable (ecriture_id,ligne_id,compte_comptable_numero,libelle,debit,credit) VALUES ( -2, 3, 4457, 'TVA 20%', null, 500 );
INSERT INTO "remy-vallet_db_myerp".public.ligne_ecriture_comptable (ecriture_id,ligne_id,compte_comptable_numero,libelle,debit,credit) VALUES ( -3, 1, 401, null, 52.74, null );
INSERT INTO "remy-vallet_db_myerp".public.ligne_ecriture_comptable (ecriture_id,ligne_id,compte_comptable_numero,libelle,debit,credit) VALUES ( -3, 2, 512, null, null, 52.74 );
INSERT INTO "remy-vallet_db_myerp".public.ligne_ecriture_comptable (ecriture_id,ligne_id,compte_comptable_numero,libelle,debit,credit) VALUES ( -4, 1, 411, 'Facture C110004', 5700, null );
INSERT INTO "remy-vallet_db_myerp".public.ligne_ecriture_comptable (ecriture_id,ligne_id,compte_comptable_numero,libelle,debit,credit) VALUES ( -4, 2, 706, 'TMA Appli Xxx', null, 4750 );
INSERT INTO "remy-vallet_db_myerp".public.ligne_ecriture_comptable (ecriture_id,ligne_id,compte_comptable_numero,libelle,debit,credit) VALUES ( -4, 3, 4457, 'TVA 20%', null, 950 );
INSERT INTO "remy-vallet_db_myerp".public.ligne_ecriture_comptable (ecriture_id,ligne_id,compte_comptable_numero,libelle,debit,credit) VALUES ( -5, 1, 512, null, 3000, null );
INSERT INTO "remy-vallet_db_myerp".public.ligne_ecriture_comptable (ecriture_id,ligne_id,compte_comptable_numero,libelle,debit,credit) VALUES ( -5, 2, 411, null, null, 3000 );
|
CREATE TABLE variant_durable_targeting (
id VARCHAR(128) NOT NULL,
variation VARCHAR(256) NOT NULL,
experience VARCHAR(256) NOT NULL,
created_on TIMESTAMP NOT NULL,
PRIMARY KEY (id, variation)
);
|
-- BattleNetShop.Data.MySql.Salereport
CREATE TABLE `salereports` (
`vendorName` nvarchar(500) NOT NULL, -- _vendorName
`totalQuantitySold` integer NOT NULL, -- _totalQuantitySold
`totalIncomes` integer NOT NULL, -- _totalIncomes
`report_id` integer AUTO_INCREMENT NOT NULL, -- _report_id
`product_id` integer NOT NULL, -- _product_id
`productName` nvarchar(500) NOT NULL, -- _productName
CONSTRAINT `pk_salereports` PRIMARY KEY (`report_id`)
) ENGINE = InnoDB;
ALTER TABLE `salereports` ADD INDEX `product_id`(`product_id`);
|
SELECT {ALIAS}.*,
CONCAT({ALIAS}.DoctorID, '') AS {ENTITY}LookupCaption,DepartmentName,GenderName,UserSignInName,UserEmail,
'' AS _Other
FROM {PREFIX}{NAME} AS {ALIAS}
/*LEFT JOIN X AS Y ON Y.YID = {ALIAS}.YID*/
LEFT JOIN hms_department AS DP ON DP.DepartmentID={ALIAS}.DepartmentID
LEFT JOIN sphp_gender AS GD ON GD.GenderID={ALIAS}.GenderID
LEFT JOIN sphp_user AS U ON U.UserID={ALIAS}.UserID
|
-- Copyright (c) 2016-2018 Timescale, Inc. All Rights Reserved.
--
-- This file is licensed under the Apache License,
-- see LICENSE-APACHE at the top level directory.
\ir include/insert_single.sql
SELECT * FROM test.show_columnsp('"one_Partition".%');
SELECT * FROM "one_Partition" ORDER BY "timeCustom", device_id;
--test that we can insert data into a 1-dimensional table (only time partitioning)
CREATE TABLE "1dim"(time timestamp PRIMARY KEY, temp float);
SELECT create_hypertable('"1dim"', 'time');
INSERT INTO "1dim" VALUES('2017-01-20T09:00:01', 22.5) RETURNING *;
INSERT INTO "1dim" VALUES('2017-01-20T09:00:21', 21.2);
INSERT INTO "1dim" VALUES('2017-01-20T09:00:47', 25.1);
SELECT * FROM "1dim";
CREATE TABLE regular_table (time timestamp, temp float);
INSERT INTO regular_table SELECT * FROM "1dim";
SELECT * FROM regular_table;
TRUNCATE TABLE regular_table;
INSERT INTO regular_table VALUES('2017-01-20T09:00:59', 29.2);
INSERT INTO "1dim" SELECT * FROM regular_table;
SELECT * FROM "1dim";
SELECT "1dim" FROM "1dim";
--test that we can insert pre-1970 dates
CREATE TABLE "1dim_pre1970"(time timestamp PRIMARY KEY, temp float);
SELECT create_hypertable('"1dim_pre1970"', 'time', chunk_time_interval=> INTERVAL '1 Month');
INSERT INTO "1dim_pre1970" VALUES('1969-12-01T19:00:00', 21.2);
INSERT INTO "1dim_pre1970" VALUES('1969-12-20T09:00:00', 25.1);
INSERT INTO "1dim_pre1970" VALUES('1970-01-20T09:00:00', 26.6);
INSERT INTO "1dim_pre1970" VALUES('1969-02-20T09:00:00', 29.9);
--should show warning
BEGIN;
CREATE TABLE "1dim_usec_interval"(time timestamp PRIMARY KEY, temp float);
SELECT create_hypertable('"1dim_usec_interval"', 'time', chunk_time_interval=> 10);
INSERT INTO "1dim_usec_interval" VALUES('1969-12-01T19:00:00', 21.2);
ROLLBACK;
CREATE TABLE "1dim_usec_interval"(time timestamp PRIMARY KEY, temp float);
SELECT create_hypertable('"1dim_usec_interval"', 'time', chunk_time_interval=> 1000000);
INSERT INTO "1dim_usec_interval" VALUES('1969-12-01T19:00:00', 21.2);
CREATE TABLE "1dim_neg"(time INTEGER, temp float);
SELECT create_hypertable('"1dim_neg"', 'time', chunk_time_interval=>10);
INSERT INTO "1dim_neg" VALUES (-20, 21.2);
INSERT INTO "1dim_neg" VALUES (-19, 21.2);
INSERT INTO "1dim_neg" VALUES (-1, 21.2);
INSERT INTO "1dim_neg" VALUES (0, 21.2);
INSERT INTO "1dim_neg" VALUES (1, 21.2);
INSERT INTO "1dim_neg" VALUES (19, 21.2);
INSERT INTO "1dim_neg" VALUES (20, 21.2);
SELECT * FROM "1dim_pre1970";
SELECT * FROM "1dim_neg";
SELECT * FROM _timescaledb_catalog.chunk;
SELECT * FROM _timescaledb_catalog.dimension_slice;
-- Create a three-dimensional table
CREATE TABLE "3dim" (time timestamp, temp float, device text, location text);
SELECT create_hypertable('"3dim"', 'time', 'device', 2);
SELECT add_dimension('"3dim"', 'location', 2);
INSERT INTO "3dim" VALUES('2017-01-20T09:00:01', 22.5, 'blue', 'nyc');
INSERT INTO "3dim" VALUES('2017-01-20T09:00:21', 21.2, 'brown', 'sthlm');
INSERT INTO "3dim" VALUES('2017-01-20T09:00:47', 25.1, 'yellow', 'la');
--show the constraints on the three-dimensional chunk
SELECT * FROM test.show_constraints('_timescaledb_internal._hyper_7_16_chunk');
--queries should work in three dimensions
SELECT * FROM "3dim";
-- test that explain works
EXPLAIN (COSTS FALSE)
INSERT INTO "3dim" VALUES('2017-01-21T09:00:01', 32.9, 'green', 'nyc'),
('2017-01-21T09:00:47', 27.3, 'purple', 'la') RETURNING *;
EXPLAIN (COSTS FALSE)
WITH "3dim_insert" AS (
INSERT INTO "3dim" VALUES('2017-01-21T09:01:44', 19.3, 'black', 'la') RETURNING time, temp
), regular_insert AS (
INSERT INTO regular_table VALUES('2017-01-21T10:00:51', 14.3) RETURNING time, temp
) INSERT INTO "1dim" (SELECT time, temp FROM "3dim_insert" UNION SELECT time, temp FROM regular_insert);
-- test prepared statement INSERT
PREPARE "1dim_plan" (timestamp, float) AS
INSERT INTO "1dim" VALUES($1, $2) ON CONFLICT (time) DO NOTHING;
EXECUTE "1dim_plan" ('2017-04-17 23:35', 31.4);
EXECUTE "1dim_plan" ('2017-04-17 23:35', 32.6);
-- test prepared statement with generic plan (forced when no parameters)
PREPARE "1dim_plan_generic" AS
INSERT INTO "1dim" VALUES('2017-05-18 17:24', 18.3);
EXECUTE "1dim_plan_generic";
SELECT * FROM "1dim" ORDER BY time;
SELECT * FROM "3dim" ORDER BY (time, device);
-- Test that large intervals and no interval fail for INTEGER
\set ON_ERROR_STOP 0
CREATE TABLE "inttime_err"(time INTEGER PRIMARY KEY, temp float);
SELECT create_hypertable('"inttime_err"', 'time', chunk_time_interval=>2147483648);
SELECT create_hypertable('"inttime_err"', 'time');
\set ON_ERROR_STOP 1
SELECT create_hypertable('"inttime_err"', 'time', chunk_time_interval=>2147483647);
-- Test that large intervals and no interval fail for SMALLINT
\set ON_ERROR_STOP 0
CREATE TABLE "smallinttime_err"(time SMALLINT PRIMARY KEY, temp float);
SELECT create_hypertable('"smallinttime_err"', 'time', chunk_time_interval=>32768);
SELECT create_hypertable('"smallinttime_err"', 'time');
\set ON_ERROR_STOP 1
SELECT create_hypertable('"smallinttime_err"', 'time', chunk_time_interval=>32767);
--make sure date inserts work even when the timezone changes the
CREATE TABLE hyper_date(time date, temp float);
SELECT create_hypertable('"hyper_date"', 'time');
SET timezone=+1;
INSERT INTO "hyper_date" VALUES('2011-01-26', 22.5);
RESET timezone;
--make sure timestamp inserts work even when the timezone changes the
SET timezone = 'UTC';
CREATE TABLE "test_tz"(time timestamp PRIMARY KEY, temp float);
SELECT create_hypertable('"test_tz"', 'time', chunk_time_interval=> INTERVAL '1 day');
INSERT INTO "test_tz" VALUES('2017-09-22 10:00:00', 21.2);
INSERT INTO "test_tz" VALUES('2017-09-21 19:00:00', 21.2);
SET timezone = 'US/central';
INSERT INTO "test_tz" VALUES('2017-09-21 19:01:00', 21.2);
SELECT * FROM test.show_constraints('_timescaledb_internal._hyper_10_20_chunk');
SELECT * FROM test_tz;
-- test various memory settings --
SET timescaledb.max_open_chunks_per_insert = 10;
SET timescaledb.max_cached_chunks_per_hypertable = 10;
CREATE TABLE "nondefault_mem_settings"(time timestamp PRIMARY KEY, temp float);
SELECT create_hypertable('"nondefault_mem_settings"', 'time', chunk_time_interval=> INTERVAL '1 Month');
INSERT INTO "nondefault_mem_settings" VALUES('2000-12-01T19:00:00', 21.2);
INSERT INTO "nondefault_mem_settings" VALUES('2001-12-20T09:00:00', 25.1);
--lowest possible
SET timescaledb.max_open_chunks_per_insert = 1;
SET timescaledb.max_cached_chunks_per_hypertable = 1;
INSERT INTO "nondefault_mem_settings" VALUES
('2001-01-20T09:00:00', 26.6),
('2002-02-20T09:00:00', 27.9),
('2003-02-20T09:00:00', 28.9);
INSERT INTO "nondefault_mem_settings" VALUES
('2001-03-20T09:00:00', 30.6),
('2002-03-20T09:00:00', 31.9),
('2003-03-20T09:00:00', 32.9);
--unlimited
SET timescaledb.max_open_chunks_per_insert = 0;
SET timescaledb.max_cached_chunks_per_hypertable = 0;
INSERT INTO "nondefault_mem_settings" VALUES
('2001-04-20T09:00:00', 33.6),
('2002-04-20T09:00:00', 34.9),
('2003-04-20T09:00:00', 35.9);
SELECT * FROM "nondefault_mem_settings";
--test rollback
BEGIN;
\set QUIET off
CREATE TABLE "data_records" ("time" bigint NOT NULL, "value" integer CHECK (VALUE >= 0));
SELECT create_hypertable('data_records', 'time', chunk_time_interval => 2592000000);
INSERT INTO "data_records" ("time", "value") VALUES (0, 1);
SAVEPOINT savepoint_1;
INSERT INTO "data_records" ("time", "value") VALUES (1, 0);
ROLLBACK TO SAVEPOINT savepoint_1;
INSERT INTO "data_records" ("time", "value") VALUES (2, 1);
SAVEPOINT savepoint_2;
\set ON_ERROR_STOP 0
INSERT INTO "data_records" ("time", "value") VALUES (3, -1);
\set ON_ERROR_STOP 1
ROLLBACK TO SAVEPOINT savepoint_2;
INSERT INTO "data_records" ("time", "value") VALUES (4, 1);
SAVEPOINT savepoint_3;
INSERT INTO "data_records" ("time", "value") VALUES (5, 0);
ROLLBACK TO SAVEPOINT savepoint_3;
SELECT * FROM data_records;
\set QUIET on
ROLLBACK;
|
create table ACT_RE_DEPLOYMENT (
ID_ varchar(64) not null,
NAME_ varchar(255),
CATEGORY_ varchar(255),
KEY_ varchar(255),
TENANT_ID_ varchar(255) default '',
DEPLOY_TIME_ timestamp,
DERIVED_FROM_ varchar(64),
DERIVED_FROM_ROOT_ varchar(64),
PARENT_DEPLOYMENT_ID_ varchar(255),
ENGINE_VERSION_ varchar(255),
primary key (ID_)
);
create table ACT_RE_MODEL (
ID_ varchar(64) not null,
REV_ integer,
NAME_ varchar(255),
KEY_ varchar(255),
CATEGORY_ varchar(255),
CREATE_TIME_ timestamp,
LAST_UPDATE_TIME_ timestamp,
VERSION_ integer,
META_INFO_ varchar(4000),
DEPLOYMENT_ID_ varchar(64),
EDITOR_SOURCE_VALUE_ID_ varchar(64),
EDITOR_SOURCE_EXTRA_VALUE_ID_ varchar(64),
TENANT_ID_ varchar(255) default '',
primary key (ID_)
);
create table ACT_RU_EXECUTION (
ID_ varchar(64) not null,
REV_ integer,
PROC_INST_ID_ varchar(64),
BUSINESS_KEY_ varchar(255),
PARENT_ID_ varchar(64),
PROC_DEF_ID_ varchar(64),
SUPER_EXEC_ varchar(64),
ROOT_PROC_INST_ID_ varchar(64),
ACT_ID_ varchar(255),
IS_ACTIVE_ smallint check(IS_ACTIVE_ in (1,0)),
IS_CONCURRENT_ smallint check(IS_CONCURRENT_ in (1,0)),
IS_SCOPE_ smallint check(IS_SCOPE_ in (1,0)),
IS_EVENT_SCOPE_ smallint check(IS_EVENT_SCOPE_ in (1,0)),
IS_MI_ROOT_ smallint check(IS_MI_ROOT_ in (1,0)),
SUSPENSION_STATE_ integer,
CACHED_ENT_STATE_ integer,
TENANT_ID_ varchar(255) default '',
NAME_ varchar(255),
START_ACT_ID_ varchar(255),
START_TIME_ timestamp,
START_USER_ID_ varchar(255),
LOCK_TIME_ timestamp,
IS_COUNT_ENABLED_ smallint check(IS_COUNT_ENABLED_ in (1,0)),
EVT_SUBSCR_COUNT_ integer,
TASK_COUNT_ integer,
JOB_COUNT_ integer,
TIMER_JOB_COUNT_ integer,
SUSP_JOB_COUNT_ integer,
DEADLETTER_JOB_COUNT_ integer,
VAR_COUNT_ integer,
ID_LINK_COUNT_ integer,
CALLBACK_ID_ varchar(255),
CALLBACK_TYPE_ varchar(255),
REFERENCE_ID_ varchar(255),
REFERENCE_TYPE_ varchar(255),
primary key (ID_)
);
create table ACT_RE_PROCDEF (
ID_ varchar(64) not null,
REV_ integer,
CATEGORY_ varchar(255),
NAME_ varchar(255),
KEY_ varchar(255) not null,
VERSION_ integer not null,
DEPLOYMENT_ID_ varchar(64),
RESOURCE_NAME_ varchar(4000),
DGRM_RESOURCE_NAME_ varchar(4000),
DESCRIPTION_ varchar(4000),
HAS_START_FORM_KEY_ smallint check(HAS_START_FORM_KEY_ in (1,0)),
HAS_GRAPHICAL_NOTATION_ smallint check(HAS_GRAPHICAL_NOTATION_ in (1,0)),
SUSPENSION_STATE_ integer,
TENANT_ID_ varchar(255) not null default '',
DERIVED_FROM_ varchar(64),
DERIVED_FROM_ROOT_ varchar(64),
DERIVED_VERSION_ integer not null default 0,
ENGINE_VERSION_ varchar(255),
primary key (ID_)
);
create table ACT_EVT_LOG (
LOG_NR_ bigint not null GENERATED ALWAYS AS IDENTITY (START WITH 1, INCREMENT BY 1),
TYPE_ varchar(64),
PROC_DEF_ID_ varchar(64),
PROC_INST_ID_ varchar(64),
EXECUTION_ID_ varchar(64),
TASK_ID_ varchar(64),
TIME_STAMP_ timestamp not null,
USER_ID_ varchar(255),
DATA_ BLOB,
LOCK_OWNER_ varchar(255),
LOCK_TIME_ timestamp,
IS_PROCESSED_ integer default 0,
primary key (LOG_NR_)
);
create table ACT_PROCDEF_INFO (
ID_ varchar(64) not null,
PROC_DEF_ID_ varchar(64) not null,
REV_ integer,
INFO_JSON_ID_ varchar(64),
primary key (ID_)
);
create table ACT_RU_ACTINST (
ID_ varchar(64) not null,
REV_ integer default 1,
PROC_DEF_ID_ varchar(64) not null,
PROC_INST_ID_ varchar(64) not null,
EXECUTION_ID_ varchar(64) not null,
ACT_ID_ varchar(255) not null,
TASK_ID_ varchar(64),
CALL_PROC_INST_ID_ varchar(64),
ACT_NAME_ varchar(255),
ACT_TYPE_ varchar(255) not null,
ASSIGNEE_ varchar(255),
START_TIME_ timestamp not null,
END_TIME_ timestamp,
DURATION_ bigint,
DELETE_REASON_ varchar(4000),
TENANT_ID_ varchar(255) default '',
primary key (ID_)
);
create index ACT_IDX_EXEC_BUSKEY on ACT_RU_EXECUTION(BUSINESS_KEY_);
create index ACT_IDC_EXEC_ROOT on ACT_RU_EXECUTION(ROOT_PROC_INST_ID_);
create index ACT_IDX_VARIABLE_TASK_ID on ACT_RU_VARIABLE(TASK_ID_);
create index ACT_IDX_ATHRZ_PROCEDEF on ACT_RU_IDENTITYLINK(PROC_DEF_ID_);
create index ACT_IDX_EXECUTION_PROC on ACT_RU_EXECUTION(PROC_DEF_ID_);
create index ACT_IDX_EXECUTION_PARENT on ACT_RU_EXECUTION(PARENT_ID_);
create index ACT_IDX_EXECUTION_SUPER on ACT_RU_EXECUTION(SUPER_EXEC_);
create index ACT_IDX_EXECUTION_IDANDREV on ACT_RU_EXECUTION(ID_, REV_);
create index ACT_IDX_VARIABLE_EXEC on ACT_RU_VARIABLE(EXECUTION_ID_);
create index ACT_IDX_VARIABLE_PROCINST on ACT_RU_VARIABLE(PROC_INST_ID_);
create index ACT_IDX_IDENT_LNK_TASK on ACT_RU_IDENTITYLINK(TASK_ID_);
create index ACT_IDX_IDENT_LNK_PROCINST on ACT_RU_IDENTITYLINK(PROC_INST_ID_);
create index ACT_IDX_TASK_EXEC on ACT_RU_TASK(EXECUTION_ID_);
create index ACT_IDX_TASK_PROCINST on ACT_RU_TASK(PROC_INST_ID_);
create index ACT_IDX_EXEC_PROC_INST_ID on ACT_RU_EXECUTION(PROC_INST_ID_);
create index ACT_IDX_TASK_PROC_DEF_ID on ACT_RU_TASK(PROC_DEF_ID_);
create index ACT_IDX_JOB_EXECUTION_ID on ACT_RU_JOB(EXECUTION_ID_);
create index ACT_IDX_JOB_PROCESS_INSTANCE_ID on ACT_RU_JOB(PROCESS_INSTANCE_ID_);
create index ACT_IDX_JOB_PROC_DEF_ID on ACT_RU_JOB(PROC_DEF_ID_);
create index ACT_IDX_TIMER_JOB_EXECUTION_ID on ACT_RU_TIMER_JOB(EXECUTION_ID_);
create index ACT_IDX_TIMER_JOB_PROCESS_INSTANCE_ID on ACT_RU_TIMER_JOB(PROCESS_INSTANCE_ID_);
create index ACT_IDX_TIMER_JOB_PROC_DEF_ID on ACT_RU_TIMER_JOB(PROC_DEF_ID_);
create index ACT_IDX_SUSPENDED_JOB_EXECUTION_ID on ACT_RU_SUSPENDED_JOB(EXECUTION_ID_);
create index ACT_IDX_SUSPENDED_JOB_PROCESS_INSTANCE_ID on ACT_RU_SUSPENDED_JOB(PROCESS_INSTANCE_ID_);
create index ACT_IDX_SUSPENDED_JOB_PROC_DEF_ID on ACT_RU_SUSPENDED_JOB(PROC_DEF_ID_);
create index ACT_IDX_DEADLETTER_JOB_EXECUTION_ID on ACT_RU_DEADLETTER_JOB(EXECUTION_ID_);
create index ACT_IDX_DEADLETTER_JOB_PROCESS_INSTANCE_ID on ACT_RU_DEADLETTER_JOB(PROCESS_INSTANCE_ID_);
create index ACT_IDX_DEADLETTER_JOB_PROC_DEF_ID on ACT_RU_DEADLETTER_JOB(PROC_DEF_ID_);
create index ACT_IDX_INFO_PROCDEF on ACT_PROCDEF_INFO(PROC_DEF_ID_);
create index ACT_IDX_RU_ACTI_START on ACT_RU_ACTINST(START_TIME_);
create index ACT_IDX_RU_ACTI_END on ACT_RU_ACTINST(END_TIME_);
create index ACT_IDX_RU_ACTI_PROC on ACT_RU_ACTINST(PROC_INST_ID_);
create index ACT_IDX_RU_ACTI_PROC_ACT on ACT_RU_ACTINST(PROC_INST_ID_, ACT_ID_);
create index ACT_IDX_RU_ACTI_EXEC on ACT_RU_ACTINST(EXECUTION_ID_);
create index ACT_IDX_RU_ACTI_EXEC_ACT on ACT_RU_ACTINST(EXECUTION_ID_, ACT_ID_);
alter table ACT_GE_BYTEARRAY
add constraint ACT_FK_BYTEARR_DEPL
foreign key (DEPLOYMENT_ID_)
references ACT_RE_DEPLOYMENT (ID_);
alter table ACT_RE_PROCDEF
add constraint ACT_UNIQ_PROCDEF
unique (KEY_,VERSION_, DERIVED_VERSION_, TENANT_ID_);
alter table ACT_RU_EXECUTION
add constraint ACT_FK_EXE_PROCINST
foreign key (PROC_INST_ID_)
references ACT_RU_EXECUTION (ID_);
alter table ACT_RU_EXECUTION
add constraint ACT_FK_EXE_PARENT
foreign key (PARENT_ID_)
references ACT_RU_EXECUTION (ID_);
alter table ACT_RU_EXECUTION
add constraint ACT_FK_EXE_SUPER
foreign key (SUPER_EXEC_)
references ACT_RU_EXECUTION (ID_);
alter table ACT_RU_EXECUTION
add constraint ACT_FK_EXE_PROCDEF
foreign key (PROC_DEF_ID_)
references ACT_RE_PROCDEF (ID_);
alter table ACT_RU_IDENTITYLINK
add constraint ACT_FK_TSKASS_TASK
foreign key (TASK_ID_)
references ACT_RU_TASK (ID_);
alter table ACT_RU_IDENTITYLINK
add constraint ACT_FK_ATHRZ_PROCEDEF
foreign key (PROC_DEF_ID_)
references ACT_RE_PROCDEF (ID_);
alter table ACT_RU_IDENTITYLINK
add constraint ACT_FK_IDL_PROCINST
foreign key (PROC_INST_ID_)
references ACT_RU_EXECUTION (ID_);
alter table ACT_RU_TASK
add constraint ACT_FK_TASK_EXE
foreign key (EXECUTION_ID_)
references ACT_RU_EXECUTION (ID_);
alter table ACT_RU_TASK
add constraint ACT_FK_TASK_PROCINST
foreign key (PROC_INST_ID_)
references ACT_RU_EXECUTION (ID_);
alter table ACT_RU_TASK
add constraint ACT_FK_TASK_PROCDEF
foreign key (PROC_DEF_ID_)
references ACT_RE_PROCDEF (ID_);
alter table ACT_RU_VARIABLE
add constraint ACT_FK_VAR_EXE
foreign key (EXECUTION_ID_)
references ACT_RU_EXECUTION (ID_);
alter table ACT_RU_VARIABLE
add constraint ACT_FK_VAR_PROCINST
foreign key (PROC_INST_ID_)
references ACT_RU_EXECUTION(ID_);
alter table ACT_RU_JOB
add constraint ACT_FK_JOB_EXECUTION
foreign key (EXECUTION_ID_)
references ACT_RU_EXECUTION (ID_);
alter table ACT_RU_JOB
add constraint ACT_FK_JOB_PROCESS_INSTANCE
foreign key (PROCESS_INSTANCE_ID_)
references ACT_RU_EXECUTION (ID_);
alter table ACT_RU_JOB
add constraint ACT_FK_JOB_PROC_DEF
foreign key (PROC_DEF_ID_)
references ACT_RE_PROCDEF (ID_);
alter table ACT_RU_TIMER_JOB
add constraint ACT_FK_TIMER_JOB_EXECUTION
foreign key (EXECUTION_ID_)
references ACT_RU_EXECUTION (ID_);
alter table ACT_RU_TIMER_JOB
add constraint ACT_FK_TIMER_JOB_PROCESS_INSTANCE
foreign key (PROCESS_INSTANCE_ID_)
references ACT_RU_EXECUTION (ID_);
alter table ACT_RU_TIMER_JOB
add constraint ACT_FK_TIMER_JOB_PROC_DEF
foreign key (PROC_DEF_ID_)
references ACT_RE_PROCDEF (ID_);
alter table ACT_RU_SUSPENDED_JOB
add constraint ACT_FK_SUSPENDED_JOB_EXECUTION
foreign key (EXECUTION_ID_)
references ACT_RU_EXECUTION (ID_);
alter table ACT_RU_SUSPENDED_JOB
add constraint ACT_FK_SUSPENDED_JOB_PROCESS_INSTANCE
foreign key (PROCESS_INSTANCE_ID_)
references ACT_RU_EXECUTION (ID_);
alter table ACT_RU_SUSPENDED_JOB
add constraint ACT_FK_SUSPENDED_JOB_PROC_DEF
foreign key (PROC_DEF_ID_)
references ACT_RE_PROCDEF (ID_);
alter table ACT_RU_DEADLETTER_JOB
add constraint ACT_FK_DEADLETTER_JOB_EXECUTION
foreign key (EXECUTION_ID_)
references ACT_RU_EXECUTION (ID_);
alter table ACT_RU_DEADLETTER_JOB
add constraint ACT_FK_DEADLETTER_JOB_PROCESS_INSTANCE
foreign key (PROCESS_INSTANCE_ID_)
references ACT_RU_EXECUTION (ID_);
alter table ACT_RU_DEADLETTER_JOB
add constraint ACT_FK_DEADLETTER_JOB_PROC_DEF
foreign key (PROC_DEF_ID_)
references ACT_RE_PROCDEF (ID_);
alter table ACT_RU_EVENT_SUBSCR
add constraint ACT_FK_EVENT_EXEC
foreign key (EXECUTION_ID_)
references ACT_RU_EXECUTION(ID_);
alter table ACT_RE_MODEL
add constraint ACT_FK_MODEL_SOURCE
foreign key (EDITOR_SOURCE_VALUE_ID_)
references ACT_GE_BYTEARRAY (ID_);
alter table ACT_RE_MODEL
add constraint ACT_FK_MODEL_SOURCE_EXTRA
foreign key (EDITOR_SOURCE_EXTRA_VALUE_ID_)
references ACT_GE_BYTEARRAY (ID_);
alter table ACT_RE_MODEL
add constraint ACT_FK_MODEL_DEPLOYMENT
foreign key (DEPLOYMENT_ID_)
references ACT_RE_DEPLOYMENT (ID_);
alter table ACT_PROCDEF_INFO
add constraint ACT_FK_INFO_JSON_BA
foreign key (INFO_JSON_ID_)
references ACT_GE_BYTEARRAY (ID_);
alter table ACT_PROCDEF_INFO
add constraint ACT_FK_INFO_PROCDEF
foreign key (PROC_DEF_ID_)
references ACT_RE_PROCDEF (ID_);
alter table ACT_PROCDEF_INFO
add constraint ACT_UNIQ_INFO_PROCDEF
unique (PROC_DEF_ID_);
insert into ACT_GE_PROPERTY
values ('schema.version', '6.5.0.5', 1);
insert into ACT_GE_PROPERTY
values ('schema.history', 'create(6.5.0.5)', 1);
create table ACT_HI_PROCINST (
ID_ varchar(64) not null,
REV_ integer default 1,
PROC_INST_ID_ varchar(64) not null,
BUSINESS_KEY_ varchar(255),
PROC_DEF_ID_ varchar(64) not null,
START_TIME_ timestamp not null,
END_TIME_ timestamp,
DURATION_ bigint,
START_USER_ID_ varchar(255),
START_ACT_ID_ varchar(255),
END_ACT_ID_ varchar(255),
SUPER_PROCESS_INSTANCE_ID_ varchar(64),
DELETE_REASON_ varchar(4000),
TENANT_ID_ varchar(255) default '',
NAME_ varchar(255),
CALLBACK_ID_ varchar(255),
CALLBACK_TYPE_ varchar(255),
primary key (ID_)
);
alter table ACT_HI_PROCINST add constraint PROC_INST_ID_ unique(PROC_INST_ID_);
create table ACT_HI_ACTINST (
ID_ varchar(64) not null,
REV_ integer default 1,
PROC_DEF_ID_ varchar(64) not null,
PROC_INST_ID_ varchar(64) not null,
EXECUTION_ID_ varchar(64) not null,
ACT_ID_ varchar(255) not null,
TASK_ID_ varchar(64),
CALL_PROC_INST_ID_ varchar(64),
ACT_NAME_ varchar(255),
ACT_TYPE_ varchar(255) not null,
OWNER_ varchar(64),
ASSIGNEE_ varchar(255),
START_TIME_ timestamp not null,
END_TIME_ timestamp,
DURATION_ bigint,
DELETE_REASON_ varchar(4000),
TENANT_ID_ varchar(255) default '',
primary key (ID_)
);
create table ACT_HI_DETAIL (
ID_ varchar(64) not null,
TYPE_ varchar(255) not null,
PROC_INST_ID_ varchar(64),
EXECUTION_ID_ varchar(64),
TASK_ID_ varchar(64),
ACT_INST_ID_ varchar(64),
NAME_ varchar(255) not null,
VAR_TYPE_ varchar(255),
REV_ integer,
TIME_ timestamp not null,
BYTEARRAY_ID_ varchar(64),
DOUBLE_ double precision,
LONG_ bigint,
TEXT_ varchar(4000),
TEXT2_ varchar(4000),
primary key (ID_)
);
create table ACT_HI_COMMENT (
ID_ varchar(64) not null,
TYPE_ varchar(255),
TIME_ timestamp not null,
USER_ID_ varchar(255),
TASK_ID_ varchar(64),
PROC_INST_ID_ varchar(64),
ACTION_ varchar(255),
MESSAGE_ varchar(4000),
FULL_MSG_ BLOB,
primary key (ID_)
);
create table ACT_HI_ATTACHMENT (
ID_ varchar(64) not null,
REV_ integer,
USER_ID_ varchar(255),
NAME_ varchar(255),
DESCRIPTION_ varchar(4000),
TYPE_ varchar(255),
TASK_ID_ varchar(64),
PROC_INST_ID_ varchar(64),
URL_ varchar(4000),
CONTENT_ID_ varchar(64),
TIME_ timestamp,
primary key (ID_)
);
create index ACT_IDX_HI_PRO_INST_END on ACT_HI_PROCINST(END_TIME_);
create index ACT_IDX_HI_PRO_I_BUSKEY on ACT_HI_PROCINST(BUSINESS_KEY_);
create index ACT_IDX_HI_ACT_INST_START on ACT_HI_ACTINST(START_TIME_);
create index ACT_IDX_HI_ACT_INST_END on ACT_HI_ACTINST(END_TIME_);
create index ACT_IDX_HI_DETAIL_PROC_INST on ACT_HI_DETAIL(PROC_INST_ID_);
create index ACT_IDX_HI_DETAIL_ACT_INST on ACT_HI_DETAIL(ACT_INST_ID_);
create index ACT_IDX_HI_DETAIL_TIME on ACT_HI_DETAIL(TIME_);
create index ACT_IDX_HI_DETAIL_NAME on ACT_HI_DETAIL(NAME_);
create index ACT_IDX_HI_DETAIL_TASK_ID on ACT_HI_DETAIL(TASK_ID_);
create index ACT_IDX_HI_PROCVAR_PROC_INST on ACT_HI_VARINST(PROC_INST_ID_);
create index ACT_IDX_HI_PROCVAR_TASK_ID on ACT_HI_VARINST(TASK_ID_);
create index ACT_IDX_HI_PROCVAR_EXE on ACT_HI_VARINST(EXECUTION_ID_);
create index ACT_IDX_HI_ACT_INST_PROCINST on ACT_HI_ACTINST(PROC_INST_ID_, ACT_ID_);
create index ACT_IDX_HI_ACT_INST_EXEC on ACT_HI_ACTINST(EXECUTION_ID_, ACT_ID_);
create index ACT_IDX_HI_IDENT_LNK_TASK on ACT_HI_IDENTITYLINK(TASK_ID_);
create index ACT_IDX_HI_IDENT_LNK_PROCINST on ACT_HI_IDENTITYLINK(PROC_INST_ID_);
create index ACT_IDX_HI_TASK_INST_PROCINST on ACT_HI_TASKINST(PROC_INST_ID_);
|
create database entry_task_v2_db;
create table `user_tab` (
`id` bigint unsigned not null auto_increment,
`name` varchar(64) collate utf8mb4_unicode_ci not null comment 'username',
`nickname` varchar(64) collate utf8mb4_unicode_ci not null comment 'nickname',
`profile_pic` varchar(1024) collate utf8mb4_unicode_ci not null comment 'user avatar url',
`password` varchar(32) character set utf8mb4 collate utf8mb4_unicode_ci not null comment 'user password (encrypted)',
`status` tinyint unsigned not null comment 'user status 0-enabled 1-disabled',
`ctime` int unsigned not null comment 'create timestamp',
`mtime` int unsigned not null comment 'modify timestamp',
primary key (`id`),
unique key `uniq_name` (`name`)
) engine=innodb default charset=utf8mb4 collate=utf8mb4_unicode_ci;
|
--
-- PostgreSQL database dump
--
SET statement_timeout = 0;
SET lock_timeout = 0;
SET client_encoding = 'UTF8';
SET standard_conforming_strings = on;
SET check_function_bodies = false;
SET client_min_messages = warning;
--
-- Name: plpgsql; Type: EXTENSION; Schema: -; Owner:
--
CREATE EXTENSION IF NOT EXISTS plpgsql WITH SCHEMA pg_catalog;
--
-- Name: EXTENSION plpgsql; Type: COMMENT; Schema: -; Owner:
--
COMMENT ON EXTENSION plpgsql IS 'PL/pgSQL procedural language';
SET search_path = public, pg_catalog;
SET default_tablespace = '';
SET default_with_oids = false;
--
-- Name: categories; Type: TABLE; Schema: public; Owner: Guest; Tablespace:
--
CREATE TABLE categories (
id integer NOT NULL,
name character varying
);
ALTER TABLE categories OWNER TO "Guest";
--
-- Name: categories_id_seq; Type: SEQUENCE; Schema: public; Owner: Guest
--
CREATE SEQUENCE categories_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE categories_id_seq OWNER TO "Guest";
--
-- Name: categories_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: Guest
--
ALTER SEQUENCE categories_id_seq OWNED BY categories.id;
--
-- Name: categories_tasks; Type: TABLE; Schema: public; Owner: Guest; Tablespace:
--
CREATE TABLE categories_tasks (
id integer NOT NULL,
category_id integer,
task_id integer
);
ALTER TABLE categories_tasks OWNER TO "Guest";
--
-- Name: categories_tasks_id_seq; Type: SEQUENCE; Schema: public; Owner: Guest
--
CREATE SEQUENCE categories_tasks_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE categories_tasks_id_seq OWNER TO "Guest";
--
-- Name: categories_tasks_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: Guest
--
ALTER SEQUENCE categories_tasks_id_seq OWNED BY categories_tasks.id;
--
-- Name: tasks; Type: TABLE; Schema: public; Owner: Guest; Tablespace:
--
CREATE TABLE tasks (
id integer NOT NULL,
description character varying
);
ALTER TABLE tasks OWNER TO "Guest";
--
-- Name: tasks_id_seq; Type: SEQUENCE; Schema: public; Owner: Guest
--
CREATE SEQUENCE tasks_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE tasks_id_seq OWNER TO "Guest";
--
-- Name: tasks_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: Guest
--
ALTER SEQUENCE tasks_id_seq OWNED BY tasks.id;
--
-- Name: id; Type: DEFAULT; Schema: public; Owner: Guest
--
ALTER TABLE ONLY categories ALTER COLUMN id SET DEFAULT nextval('categories_id_seq'::regclass);
--
-- Name: id; Type: DEFAULT; Schema: public; Owner: Guest
--
ALTER TABLE ONLY categories_tasks ALTER COLUMN id SET DEFAULT nextval('categories_tasks_id_seq'::regclass);
--
-- Name: id; Type: DEFAULT; Schema: public; Owner: Guest
--
ALTER TABLE ONLY tasks ALTER COLUMN id SET DEFAULT nextval('tasks_id_seq'::regclass);
--
-- Data for Name: categories; Type: TABLE DATA; Schema: public; Owner: Guest
--
COPY categories (id, name) FROM stdin;
\.
--
-- Name: categories_id_seq; Type: SEQUENCE SET; Schema: public; Owner: Guest
--
SELECT pg_catalog.setval('categories_id_seq', 11, true);
--
-- Data for Name: categories_tasks; Type: TABLE DATA; Schema: public; Owner: Guest
--
COPY categories_tasks (id, category_id, task_id) FROM stdin;
1 8 2
2 11 2
\.
--
-- Name: categories_tasks_id_seq; Type: SEQUENCE SET; Schema: public; Owner: Guest
--
SELECT pg_catalog.setval('categories_tasks_id_seq', 2, true);
--
-- Data for Name: tasks; Type: TABLE DATA; Schema: public; Owner: Guest
--
COPY tasks (id, description) FROM stdin;
1
2 bountham
\.
--
-- Name: tasks_id_seq; Type: SEQUENCE SET; Schema: public; Owner: Guest
--
SELECT pg_catalog.setval('tasks_id_seq', 2, true);
--
-- Name: categories_pkey; Type: CONSTRAINT; Schema: public; Owner: Guest; Tablespace:
--
ALTER TABLE ONLY categories
ADD CONSTRAINT categories_pkey PRIMARY KEY (id);
--
-- Name: categories_tasks_pkey; Type: CONSTRAINT; Schema: public; Owner: Guest; Tablespace:
--
ALTER TABLE ONLY categories_tasks
ADD CONSTRAINT categories_tasks_pkey PRIMARY KEY (id);
--
-- Name: tasks_pkey; Type: CONSTRAINT; Schema: public; Owner: Guest; Tablespace:
--
ALTER TABLE ONLY tasks
ADD CONSTRAINT tasks_pkey PRIMARY KEY (id);
--
-- Name: public; Type: ACL; Schema: -; Owner: epicodus
--
REVOKE ALL ON SCHEMA public FROM PUBLIC;
REVOKE ALL ON SCHEMA public FROM epicodus;
GRANT ALL ON SCHEMA public TO epicodus;
GRANT ALL ON SCHEMA public TO PUBLIC;
--
-- PostgreSQL database dump complete
--
|
SELECT `id`, `acct_id`, `alloc_yr`, `alloc_mo`, `memo`, `target_amnt_inc_vat`, `actual_amnt_inc_vat`, `date_begin`, `date_end`, `regdate`
FROM `budget`
WHERE `brand_id` = %s AND `date_begin` >= %s AND `date_end` <= %s
|
--
-- packages/acs-kernel/sql/rel-segments-create.sql
--
-- @author Oumi Mehrotra oumi@arsdigita.com
-- @creation-date 2000-11-22
-- @cvs-id $Id: rel-segments-create.sql,v 1.4 2015/12/04 13:49:25 cvs Exp $
-- Copyright (C) 1999-2000 ArsDigita Corporation
-- This is free software distributed under the terms of the GNU Public
-- License. Full text of the license is available from the GNU Project:
-- http://www.fsf.org/copyleft/gpl.html
-- WARNING!
-- Relational segments is a new and experimental concept. The API may
-- change in the future, particularly the functions marked "EXPERIMENTAL".
--
CREATE OR REPLACE FUNCTION inline_0 () RETURNS integer AS $$
BEGIN
--
-- Relational Segment: a dynamically derived set of parties, defined
-- in terms of a particular type of membership or
-- composition to a particular group.
--
PERFORM acs_object_type__create_type (
'rel_segment',
'#acs-kernel.lt_Relational_Party_Segm#',
'#acs-kernel.lt_Relational_Party_Segm_1#',
'party',
'rel_segments',
'segment_id',
'rel_segment',
'f',
null,
'rel_segment__name'
);
return 0;
END;
$$ LANGUAGE plpgsql;
select inline_0 ();
drop function inline_0 ();
-- show errors
-- Note that we do not use on delete cascade on the group_id or
-- rel_type column because rel_segments are acs_objects. On delete
-- cascade only deletes the corresponding row in this table, not all
-- the rows up the type hierarchy. Thus, rel segments must be deleted
-- using rel_segment.delete before dropping a relationship type.
create table rel_segments (
segment_id integer not null
constraint rel_segments_segment_id_fk
references parties (party_id)
constraint rel_segments_segment_id_pk primary key,
segment_name varchar(230) not null,
group_id integer not null
constraint rel_segments_group_id_fk
references groups (group_id)
on delete cascade,
rel_type varchar(100) not null
constraint rel_segments_rel_type_fk
references acs_rel_types (rel_type)
on delete cascade,
constraint rel_segments_grp_rel_type_un unique(group_id, rel_type)
);
-- rel_type has a foreign key reference - create an index
create index rel_segments_rel_type_idx on rel_segments(rel_type);
comment on table rel_segments is '
Defines relational segments. Each relational segment is a pair of
<code>group_id</code> / <code>rel_type</code>, or, in english, the
parties that have a relation of type rel_type to group_id.
';
comment on column rel_segments.segment_name is '
The user-entered name of the relational segment.
';
comment on column rel_segments.group_id is '
The group for which this segment was created.
';
comment on column rel_segments.rel_type is '
The relationship type used to define elements in this segment.
';
-- create pl/sql package rel_segment
-----------
-- Views --
-----------
create view rel_segment_party_map
as select rs.segment_id, gem.element_id as party_id, gem.rel_id, gem.rel_type,
gem.group_id, gem.container_id, gem.ancestor_rel_type
from rel_segments rs, group_element_map gem, acs_object_types ot1, acs_object_types ot2
where gem.group_id = rs.group_id
and ot1.object_type = gem.rel_type
and ot2.object_type = rs.rel_type
and ot1.tree_sortkey between ot2.tree_sortkey and tree_right(ot2.tree_sortkey);
create view rel_segment_distinct_party_map
as select distinct segment_id, party_id, ancestor_rel_type
from rel_segment_party_map;
create view rel_segment_member_map
as select segment_id, party_id as member_id, rel_id, rel_type,
group_id, container_id
from rel_segment_party_map
where ancestor_rel_type = 'membership_rel';
create view rel_seg_approved_member_map
as select rs.segment_id, gem.element_id as member_id, gem.rel_id,
gem.rel_type, gem.group_id, gem.container_id
from membership_rels mr, group_element_map gem, rel_segments rs,
acs_object_types ot1, acs_object_types ot2
where rs.group_id = gem.group_id
and rs.rel_type = ot2.object_type
and ot1.object_type = gem.rel_type
and ot1.tree_sortkey between ot2.tree_sortkey and tree_right(ot2.tree_sortkey)
and mr.rel_id = gem.rel_id and mr.member_state = 'approved';
create view rel_seg_distinct_member_map
as select distinct segment_id, member_id
from rel_seg_approved_member_map;
-- Though for permission checking we only really need to map parties to
-- member users, the old view included identity entries for all parties
-- in the system. It doesn't cost all that much to maintain the extra
-- rows so we will, just in case some overly clever programmer out there
-- depends on it.
-- This represents a large amount of redundant data which is separately
-- stored in the group_element_index table. We might want to clean this
-- up in the future but time constraints on 4.6.1 require I keep this
-- relatively simple. Implementing a real "subgroup_rel" would help a
-- lot by in itself reducing the number of redundant rows in the two
-- tables.
-- DRB: Unfortunately visibility semantics in PostgreSQL are very different
-- than in Oracle. This makes it impossible to remove the duplicate
-- rows by maintaining a count column as I've done in the Oracle version
-- without requiring application code to issue explicit "lock table in
-- exclusive mode" statements. This would kill abstraction and be very
-- error prone. The PL/pgSQL procs can issue the locks but unfortunately
-- statements within such procs don't generate a new snapshot when executed
-- but rather work within the context of the caller. This means locks within
-- a PL/pgSQL are too late to be of use. Such code works perfectly in Oracle.
-- Maybe people who buy Oracle aren't as dumb as you thought!
create table party_approved_member_map (
party_id integer
constraint party_member_party_nn
not null
constraint party_member_party_fk
references parties
on delete cascade,
member_id integer
constraint party_member_member_nn
not null
constraint party_member_member_fk
references parties
on delete cascade,
tag integer
constraint party_member_tag_nn
not null,
constraint party_approved_member_map_pk
primary key (party_id, member_id, tag)
);
-- Need this to speed referential integrity
create index party_member_member_idx on party_approved_member_map(member_id);
-- Helper functions to maintain the materialized party_approved_member_map.
-- added
select define_function_args('party_approved_member__add_one','party_id,member_id,rel_id');
--
-- procedure party_approved_member__add_one/3
--
CREATE OR REPLACE FUNCTION party_approved_member__add_one(
p_party_id integer,
p_member_id integer,
p_rel_id integer
) RETURNS integer AS $$
DECLARE
BEGIN
insert into party_approved_member_map
(party_id, member_id, tag)
values
(p_party_id, p_member_id, p_rel_id);
return 1;
END;
$$ LANGUAGE plpgsql;
-- added
select define_function_args('party_approved_member__add','party_id,member_id,rel_id,rel_type');
--
-- procedure party_approved_member__add/4
--
CREATE OR REPLACE FUNCTION party_approved_member__add(
p_party_id integer,
p_member_id integer,
p_rel_id integer,
p_rel_type varchar
) RETURNS integer AS $$
DECLARE
v_segments record;
BEGIN
perform party_approved_member__add_one(p_party_id, p_member_id, p_rel_id);
-- if the relation type is mapped to relational segments map them too
for v_segments in select segment_id
from rel_segments s, acs_object_types ot1, acs_object_types ot2
where
ot1.object_type = p_rel_type
and ot1.tree_sortkey between ot2.tree_sortkey and tree_right(ot2.tree_sortkey)
and s.rel_type = ot2.object_type
and s.group_id = p_party_id
loop
perform party_approved_member__add_one(v_segments.segment_id, p_member_id, p_rel_id);
end loop;
return 1;
END;
$$ LANGUAGE plpgsql;
-- added
select define_function_args('party_approved_member__remove_one','party_id,member_id,rel_id');
--
-- procedure party_approved_member__remove_one/3
--
CREATE OR REPLACE FUNCTION party_approved_member__remove_one(
p_party_id integer,
p_member_id integer,
p_rel_id integer
) RETURNS integer AS $$
DECLARE
BEGIN
delete from party_approved_member_map
where party_id = p_party_id
and member_id = p_member_id
and tag = p_rel_id;
return 1;
END;
$$ LANGUAGE plpgsql;
-- added
select define_function_args('party_approved_member__remove','party_id,member_id,rel_id,rel_type');
--
-- procedure party_approved_member__remove/4
--
CREATE OR REPLACE FUNCTION party_approved_member__remove(
p_party_id integer,
p_member_id integer,
p_rel_id integer,
p_rel_type varchar
) RETURNS integer AS $$
DECLARE
v_segments record;
BEGIN
perform party_approved_member__remove_one(p_party_id, p_member_id, p_rel_id);
-- if the relation type is mapped to relational segments unmap them too
for v_segments in select segment_id
from rel_segments s, acs_object_types ot1, acs_object_types ot2
where
ot1.object_type = p_rel_type
and ot1.tree_sortkey between ot2.tree_sortkey and tree_right(ot2.tree_sortkey)
and s.rel_type = ot2.object_type
and s.group_id = p_party_id
loop
perform party_approved_member__remove_one(v_segments.segment_id, p_member_id, p_rel_id);
end loop;
return 1;
END;
$$ LANGUAGE plpgsql;
-- Triggers to maintain party_approved_member_map when parties are created or
-- destroyed. These don't call the above helper functions because we're just
-- creating the identity row for the party.
CREATE OR REPLACE FUNCTION parties_in_tr () RETURNS trigger AS $$
BEGIN
insert into party_approved_member_map
(party_id, member_id, tag)
values
(new.party_id, new.party_id, 0);
return new;
END;
$$ LANGUAGE plpgsql;
create trigger parties_in_tr after insert on parties
for each row execute procedure parties_in_tr ();
CREATE OR REPLACE FUNCTION parties_del_tr () RETURNS trigger AS $$
BEGIN
delete from party_approved_member_map
where party_id = old.party_id
and member_id = old.party_id;
return old;
END;
$$ LANGUAGE plpgsql;
create trigger parties_del_tr before delete on parties
for each row execute procedure parties_del_tr ();
-- Triggers to maintain party_approved_member_map when relational segments are
-- created or destroyed. We only remove the (segment_id, member_id) rows as
-- removing the relational segment itself does not remove members from the
-- group with that rel_type. This was intentional on the part of the aD folks
-- who added relational segments to ACS 4.2.
CREATE OR REPLACE FUNCTION rel_segments_in_tr () RETURNS trigger AS $$
BEGIN
insert into party_approved_member_map
(party_id, member_id, tag)
select new.segment_id, element_id, rel_id
from group_element_index
where group_id = new.group_id
and rel_type = new.rel_type;
return new;
END;
$$ LANGUAGE plpgsql;
create trigger rel_segments_in_tr before insert on rel_segments
for each row execute procedure rel_segments_in_tr ();
CREATE OR REPLACE FUNCTION rel_segments_del_tr () RETURNS trigger AS $$
BEGIN
delete from party_approved_member_map
where party_id = old.segment_id
and member_id in (select element_id
from group_element_index
where group_id = old.group_id
and rel_type = old.rel_type);
return old;
END;
$$ LANGUAGE plpgsql;
create trigger rel_segments_del_tr before delete on rel_segments
for each row execute procedure rel_segments_del_tr ();
-- View: rel_segment_group_rel_type_map
--
-- Result Set: the set of triples (:segment_id, :group_id, :rel_type) such that
--
-- IF a party were to be in :group_id
-- through a relation of type :rel_type,
-- THEN the party would necessarily be in segment :segemnt_id.
create view rel_segment_group_rel_type_map as
select s.segment_id,
gcm.component_id as group_id,
acs_rel_types.rel_type as rel_type
from rel_segments s,
(select group_id, component_id
from group_component_map
UNION ALL
select group_id, group_id as component_id
from groups) gcm,
acs_rel_types,
acs_object_types ot1, acs_object_types ot2
where s.group_id = gcm.group_id
and s.rel_type = ot2.object_type
and ot1.object_type = acs_rel_types.rel_type
and ot1.tree_sortkey between ot2.tree_sortkey and tree_right(ot2.tree_sortkey);
|
#set( $symbol_pound = '#' )
#set( $symbol_dollar = '$' )
#set( $symbol_escape = '\' )
drop table if exists ${tablePrefix}task;
drop table if exists ${tablePrefix}user;
create table ${tablePrefix}task (
id bigint,
title varchar(128) not null,
description varchar(255),
user_id bigint not null,
primary key (id)
);
create table ${tablePrefix}user (
id bigint,
login_name varchar(64) not null unique,
name varchar(64) not null,
password varchar(255) not null,
salt varchar(64) not null,
roles varchar(255) not null,
register_date timestamp not null,
primary key (id)
);
create sequence ${tablePrefix}seq_task start with 100 increment by 20;
create sequence ${tablePrefix}seq_user start with 100 increment by 20;
|
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Humbert', 'de Lambilly', 589615.25);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Antoine', 'de Lambilly', 294807.63);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Laure', 'Pauvert', 98269.21);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Thibault', 'de Lambilly', 98269.21);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Oriane', 'de Lambilly', 98269.21);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Denis', 'de Lambilly', 294807.63);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Hughes', 'de Lambilly', 58961.53);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Arnault', 'de Lambilly', 58961.53);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Solène', 'de Lambilly', 58961.53);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Thomas', 'de Lambilly', 58961.53);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Mathieu', 'de Lambilly', 58961.53);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Anne', 'Dielaine', 294807.63);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Eric', 'Dielaine', 294807.63);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Marc', 'de Lambilly', 294807.63);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Charles-Edouard', 'de Lambilly', 49134.60);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Vencelas', 'de Lambilly', 49134.60);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Marie-Elionore', 'de Lambilly', 49134.60);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Grégoire', 'de Lambilly', 49134.60);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Berenice', 'de Lambilly', 49134.60);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Thaïs', 'de Lambilly', 49134.60);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Francoise', 'de Lambilly', 294807.63);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Caroline', 'Nachef', 73701.91);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Marianne', 'Bedard', 73701.91);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Alexandra', 'Nachef', 73701.91);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Erwan', 'Nachef', 73701.91);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Isabelle', 'de Villele', 294807.63);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Gaëtan', 'de Villele', 58961.53);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Ombline', 'de Villele', 58961.53);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Edwige', 'de Villele', 58961.53);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Inès', 'de Villele', 58961.53);
INSERT INTO `person` (`firstname`, `lastname`, `share`) VALUES ('Delphine', 'de Villele', 58961.53);
|
CREATE TABLE `pms_product` (
`id` bigint(20) unsigned NOT NULL,
`app_id` bigint(20) unsigned NULL DEFAULT NULL ,
`brand_id` bigint(20) DEFAULT NULL,
`product_category_id` bigint(20) DEFAULT NULL,
`feight_template_id` bigint(20) DEFAULT NULL,
`product_attribute_category_id` bigint(20) DEFAULT NULL,
`name` varchar(64) NOT NULL,
`pic` varchar(255) DEFAULT NULL,
`product_sn` varchar(64) NOT NULL COMMENT '货号',
`publish_status` int(1) DEFAULT NULL COMMENT '上架状态：0->下架；1->上架',
`new_status` int(1) DEFAULT NULL COMMENT '新品状态:0->不是新品；1->新品',
`recommand_status` int(1) DEFAULT NULL COMMENT '推荐状态；0->不推荐；1->推荐',
`verify_status` int(1) DEFAULT NULL COMMENT '审核状态：0->未审核；1->审核通过',
`sort` int(11) DEFAULT NULL COMMENT '排序',
`sale` int(11) DEFAULT NULL COMMENT '销量',
`price` decimal(10,2) DEFAULT NULL,
`promotion_price` decimal(10,2) DEFAULT NULL COMMENT '促销价格',
`gift_growth` int(11) DEFAULT '0' COMMENT '赠送的成长值',
`gift_point` int(11) DEFAULT '0' COMMENT '赠送的积分',
`use_point_limit` int(11) DEFAULT NULL COMMENT '限制使用的积分数',
`sub_title` varchar(255) DEFAULT NULL COMMENT '副标题',
`description` text COMMENT '商品描述',
`original_price` decimal(10,2) DEFAULT NULL COMMENT '市场价',
`stock` int(11) DEFAULT NULL COMMENT '库存',
`low_stock` int(11) DEFAULT NULL COMMENT '库存预警值',
`unit` varchar(16) DEFAULT NULL COMMENT '单位',
`weight` decimal(10,2) DEFAULT NULL COMMENT '商品重量，默认为克',
`preview_status` int(1) DEFAULT NULL COMMENT '是否为预告商品：0->不是；1->是',
`service_ids` varchar(64) DEFAULT NULL COMMENT '以逗号分割的产品服务：1->无忧退货；2->快速退款；3->免费包邮',
`keywords` varchar(255) DEFAULT NULL,
`note` varchar(255) DEFAULT NULL,
`album_pics` varchar(255) DEFAULT NULL COMMENT '画册图片，连产品图片限制为5张，以逗号分割',
`detail_title` varchar(255) DEFAULT NULL,
`detail_desc` text,
`detail_html` text COMMENT '产品详情网页内容',
`detail_mobile_html` text COMMENT '移动端网页详情',
`promotion_start_time` datetime DEFAULT NULL COMMENT '促销开始时间',
`promotion_end_time` datetime DEFAULT NULL COMMENT '促销结束时间',
`promotion_per_limit` int(11) DEFAULT NULL COMMENT '活动限购数量',
`promotion_type` int(1) DEFAULT NULL COMMENT '促销类型：0->没有促销使用原价;1->使用促销价；2->使用会员价；3->使用阶梯价格；4->使用满减价格；5->限时购',
`brand_name` varchar(255) DEFAULT NULL COMMENT '品牌名称',
`product_category_name` varchar(255) DEFAULT NULL COMMENT '商品分类名称',
`create_by` bigint(20) DEFAULT NULL,
`update_by` bigint(20) DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
`deleted_at` timestamp NULL DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=37 DEFAULT CHARSET=utf8 COMMENT='商品信息';
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.