Datasets:
File size: 8,730 Bytes
e8c001c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 | -- mysql_004 database initialization: create tables + load seed data
-- Executed via: mysql -u root < init_db.sql
-- Fix: MySQL root default auth_socket blocks pymysql TCP connections,
-- switch to mysql_native_password so pymysql (Python) can connect.
ALTER USER 'root'@'localhost' IDENTIFIED WITH mysql_native_password BY 'root123';
FLUSH PRIVILEGES;
CREATE DATABASE IF NOT EXISTS internal_platform_db
DEFAULT CHARACTER SET utf8mb4
DEFAULT COLLATE utf8mb4_unicode_ci;
USE internal_platform_db;
-- Input table: Ceph path coldness score data
CREATE TABLE IF NOT EXISTS t_ceph_path_coldness_score_v2_mysql_004 (
cluster_name VARCHAR(256) COMMENT '集群名',
path_level INT COMMENT '路径层级: 1/2/3/4',
path_level2 VARCHAR(256) COMMENT '路径值',
app_group_id VARCHAR(256) COMMENT '应用组ID(访问侧)',
inventory_app_group_id VARCHAR(256) COMMENT '应用组ID(存储侧)',
total_size BIGINT COMMENT '总容量(字节)',
size_tb DOUBLE COMMENT '总容量(TB)',
file_count BIGINT COMMENT '文件数量',
dir_count BIGINT COMMENT '目录数量',
access_count BIGINT COMMENT '访问次数(30天累计)',
access_bytes BIGINT COMMENT '访问字节数(30天累计)',
access_days BIGINT COMMENT '有访问的天数(0-30)',
read_count BIGINT COMMENT '读操作次数',
write_count BIGINT COMMENT '写操作次数',
days_since_last_access INT COMMENT '距最后访问天数',
access_density DOUBLE COMMENT '访问密度(次/GB)',
access_count_score DOUBLE COMMENT '访问次数评分(0-30)',
active_days_score DOUBLE COMMENT '活跃天数评分(0-15)',
access_heat_score DOUBLE COMMENT '访问热度总分(0-45)',
last_access_score DOUBLE COMMENT '最后访问时间评分(0-27)',
last_modify_score DOUBLE COMMENT '最后修改时间评分(0-18)',
freshness_score DOUBLE COMMENT '数据新鲜度总分(0-45)',
storage_efficiency_score DOUBLE COMMENT '存储效率评分(0-10)',
coldness_score DOUBLE COMMENT '综合冷热评分(0-100)',
governance_level VARCHAR(256) COMMENT '治理等级: P0/P1/P2/P3',
treatment VARCHAR(256) COMMENT '治理建议',
heat_level VARCHAR(256) COMMENT '热度分级',
has_access_data VARCHAR(256) COMMENT '是否有访问数据: Y/N',
has_inventory_data VARCHAR(256) COMMENT '是否有容量数据: Y/N',
dt VARCHAR(256) COMMENT '数据日期 yyyyMMdd'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- Output table: cluster-level coldness stats
CREATE TABLE IF NOT EXISTS t_ceph_coldness_cluster_stats_v2_cand_mysql_004 (
cluster_name VARCHAR(256) COMMENT '集群名',
agg_method VARCHAR(256) COMMENT '聚合方式',
total_path_count BIGINT COMMENT '路径总数',
total_size_tb DOUBLE COMMENT '总容量(TB)',
total_access_count BIGINT COMMENT '总访问次数',
avg_coldness_score DOUBLE COMMENT '平均冷热评分',
cluster_heat_category VARCHAR(256) COMMENT '集群热度分类',
p0_count BIGINT COMMENT 'P0路径数',
p0_size_tb DOUBLE COMMENT 'P0容量TB',
p1_count BIGINT COMMENT 'P1路径数',
p1_size_tb DOUBLE COMMENT 'P1容量TB',
p2_count BIGINT COMMENT 'P2路径数',
p2_size_tb DOUBLE COMMENT 'P2容量TB',
p3_count BIGINT COMMENT 'P3路径数',
p3_size_tb DOUBLE COMMENT 'P3容量TB',
cold_path_pct DOUBLE COMMENT '冷路径占比',
cold_size_pct DOUBLE COMMENT '冷容量占比',
dt VARCHAR(256) COMMENT '数据日期'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- Seed data: 12 rows covering 3 clusters, path_level 1-4, governance P0-P3
-- Includes cluster_C: a single-level path with no children (boundary case for leaf_only/max_available)
INSERT INTO t_ceph_path_coldness_score_v2_mysql_004
(cluster_name, path_level, path_level2, app_group_id, inventory_app_group_id,
total_size, size_tb, file_count, dir_count, access_count, access_bytes, access_days,
read_count, write_count, days_since_last_access, access_density,
access_count_score, active_days_score, access_heat_score,
last_access_score, last_modify_score, freshness_score,
storage_efficiency_score, coldness_score, governance_level, treatment,
heat_level, has_access_data, has_inventory_data, dt)
VALUES
-- cluster_A, level1 path /data
('cluster_A', 1, '/data', 'ag1', 'iag1', 1099511627776, 1.0, 100, 10, 500, 1000000, 20, 300, 200, 5, 0.5, 25.0, 10.0, 35.0, 20.0, 15.0, 35.0, 8.0, 78.0, 'P3', '保持现状', '2', 'Y', 'Y', '20260507'),
-- cluster_A, level2 path /data/logs (has child level3 -> non-leaf)
('cluster_A', 2, '/data/logs', 'ag1', 'iag1', 549755813888, 0.5, 50, 5, 200, 500000, 15, 150, 50, 10, 0.4, 20.0, 8.0, 28.0, 15.0, 10.0, 25.0, 6.0, 59.0, 'P2', '观察', '3', 'Y', 'Y', '20260507'),
-- cluster_A, level3 path /data/logs/app1 (has child level4 -> non-leaf)
('cluster_A', 3, '/data/logs/app1', 'ag1', 'iag1', 274877906944, 0.25, 25, 2, 100, 250000, 10, 80, 20, 15, 0.4, 15.0, 6.0, 21.0, 10.0, 8.0, 18.0, 5.0, 44.0, 'P2', '观察', '4', 'Y', 'Y', '20260507'),
-- cluster_A, level4 path /data/logs/app1/2026 (leaf)
('cluster_A', 4, '/data/logs/app1/2026', 'ag1', 'iag1', 109951162777, 0.1, 10, 1, 50, 100000, 5, 40, 10, 30, 0.5, 10.0, 4.0, 14.0, 5.0, 3.0, 8.0, 3.0, 25.0, 'P1', '建议归档', '5', 'Y', 'Y', '20260507'),
-- cluster_A, level2 path /data/backup (leaf, no deeper path)
('cluster_A', 2, '/data/backup', 'ag2', 'iag2', 2199023255552, 2.0, 200, 20, 10, 5000, 2, 5, 5, 90, 0.005, 2.0, 1.0, 3.0, 2.0, 1.0, 3.0, 1.0, 7.0, 'P0', '强烈建议删除', '6', 'Y', 'Y', '20260507'),
-- cluster_B, level1 path /shared
('cluster_B', 1, '/shared', 'ag3', 'iag3', 3298534883328, 3.0, 300, 30, 1000, 2000000, 25, 600, 400, 3, 0.33, 28.0, 12.0, 40.0, 25.0, 17.0, 42.0, 9.0, 91.0, 'P3', '保持现状', '1', 'Y', 'Y', '20260507'),
-- cluster_B, level2 path /shared/team1 (has child -> non-leaf)
('cluster_B', 2, '/shared/team1', 'ag3', 'iag3', 1649267441664, 1.5, 150, 15, 800, 1500000, 22, 500, 300, 4, 0.53, 26.0, 11.0, 37.0, 23.0, 16.0, 39.0, 8.5, 84.5, 'P3', '保持现状', '2', 'Y', 'Y', '20260507'),
-- cluster_B, level3 path /shared/team1/proj (leaf)
('cluster_B', 3, '/shared/team1/proj', 'ag3', 'iag3', 549755813888, 0.5, 50, 5, 300, 600000, 18, 200, 100, 7, 0.6, 22.0, 9.0, 31.0, 18.0, 12.0, 30.0, 7.0, 68.0, 'P2', '观察', '3', 'Y', 'Y', '20260507'),
-- cluster_B, level2 path /shared/archive (leaf, P0 cold data)
('cluster_B', 2, '/shared/archive', 'ag4', 'iag4', 5497558138880, 5.0, 500, 50, 5, 2000, 1, 3, 2, 120, 0.001, 1.0, 0.5, 1.5, 1.0, 0.5, 1.5, 0.5, 3.5, 'P0', '强烈建议删除', '6', 'Y', 'Y', '20260507'),
-- cluster_B, level2 path /shared/temp (leaf, P1)
('cluster_B', 2, '/shared/temp', 'ag4', 'iag4', 824633720832, 0.75, 75, 8, 20, 10000, 3, 15, 5, 60, 0.027, 5.0, 2.0, 7.0, 4.0, 2.0, 6.0, 2.0, 15.0, 'P1', '建议归档', '5', 'Y', 'Y', '20260507'),
-- cluster_C, level1 path /staging (single-level, no children -> both leaf and max_available)
('cluster_C', 1, '/staging', 'ag5', 'iag5', 274877906944, 0.25, 25, 2, 80, 200000, 8, 50, 30, 45, 0.8, 12.0, 5.0, 17.0, 8.0, 6.0, 14.0, 4.0, 35.0, 'P2', '观察', '4', 'Y', 'Y', '20260507'),
-- cluster_C, level2 path /staging/tmp (leaf, P1)
('cluster_C', 2, '/staging/tmp', 'ag5', 'iag5', 549755813888, 0.5, 50, 5, 5, 1000, 1, 3, 2, 180, 0.002, 1.0, 0.5, 1.5, 1.0, 0.5, 1.5, 0.5, 3.5, 'P0', '强烈建议删除', '6', 'Y', 'Y', '20260507'),
-- 正例: cluster_D, single level2 path /warm (P2), coldness=50 -> avg in [40,60) -> '较热集群' (covers the >=40 heat branch). Leaf + level2 + max_available all select it.
('cluster_D', 2, '/warm', 'ag6', 'iag6', 1099511627776, 1.0, 100, 10, 100, 500000, 12, 60, 40, 20, 0.2, 18.0, 7.0, 25.0, 13.0, 9.0, 22.0, 3.0, 50.0, 'P2', '观察', '4', 'Y', 'Y', '20260507'),
-- 诱饵: cluster_D stale partition dt='20260506' (P0, coldness=99). Must be removed by the dt='20260507' filter; if the filter were dropped it would leak into cluster_D and change counts/avg.
('cluster_D', 2, '/warm_stale', 'ag6', 'iag6', 9895604649984, 9.0, 100, 10, 9999, 500000, 30, 600, 400, 1, 9.9, 30.0, 15.0, 45.0, 27.0, 18.0, 45.0, 9.0, 99.0, 'P0', '保持现状', '1', 'Y', 'Y', '20260506');
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