id stringlengths 36 36 | document stringlengths 3 3k | metadata stringlengths 23 69 | embeddings listlengths 384 384 |
|---|---|---|---|
85356965-84e4-4dfe-9ae8-fce33b508b9e | Trying ::1...
Connected to localhost (::1) port 8123 (#0)
GET /get_relative_path_static_handler HTTP/1.1
Host: localhost:8123
User-Agent: curl/7.47.0
Accept:
/
XXX:xxx
< HTTP/1.1 200 OK
< Date: Wed, 29 Apr 2020 04:18:31 GMT
< Connection: Keep-Alive
< Content-Type: text/html; charset=UTF-8
< Transfer-Encoding: c... | {"source_file": "http.md"} | [
0.01105574518442154,
0.004549206700176001,
-0.06379014998674393,
0.01726343296468258,
0.004788857419043779,
-0.09530482441186905,
-0.08622515201568604,
-0.018227310851216316,
-0.010434835217893124,
0.03590432181954384,
0.011543245054781437,
0.008609812706708908,
-0.005174090154469013,
-0.0... |
d33c6010-a5e8-4648-adbe-41855199b6c7 | Valid JSON/XML response on exception during HTTP streaming {#valid-output-on-exception-http-streaming}
While query execution occurs over HTTP an exception can happen when part of the data has already been sent. Usually an exception is sent to the client in plain text.
Even if some specific data format was used to out... | {"source_file": "http.md"} | [
0.0012340694665908813,
0.06598779559135437,
-0.043089620769023895,
-0.03742285445332527,
-0.017026396468281746,
-0.04312095791101456,
-0.06692197173833847,
0.011902199126780033,
0.020419254899024963,
-0.016406498849391937,
0.00048332984442822635,
0.00046995721640996635,
0.01797984540462494,
... |
6b9575f6-f8d6-47ff-8573-83f2b86dd85b | description: 'Overview of supported data formats for input and output in ClickHouse'
sidebar_label: 'View all formats...'
sidebar_position: 21
slug: /interfaces/formats
title: 'Formats for input and output data'
doc_type: 'reference'
import CloudNotSupportedBadge from '@theme/badges/CloudNotSupportedBadge';
Forma... | {"source_file": "formats.md"} | [
-0.0028056511655449867,
-0.0046039666049182415,
-0.03940486162900925,
0.022529104724526405,
0.045011814683675766,
-0.028072981163859367,
-0.0077867209911346436,
-0.0009160850895568728,
-0.021163754165172577,
0.01669805496931076,
-0.025147348642349243,
0.002561356406658888,
0.0378081835806369... |
58c31f14-922e-4560-97f8-181d7f265003 | | Format | Input | Output |
|------------------------------------------------------------------------------------------------------------|-----|-------|
|
TabSeparated
... | {"source_file": "formats.md"} | [
0.008481687866151333,
0.0019257800886407495,
-0.12341410666704178,
0.04193520545959473,
-0.02817068248987198,
0.04650994762778282,
0.06331246346235275,
0.02799791470170021,
-0.03134078532457352,
-0.02106126770377159,
0.033097345381975174,
-0.1097135990858078,
0.09910759329795837,
-0.109923... |
37a91ba6-89c4-4f4b-afbe-8211fef31433 | |
JSONStringsEachRow
| β | β |
|
JSONStringsEachRowWithProgress
| β | β |
|
JSONCompactEachRow
| β | β |
|
JSONCompactEachRowWithNames
| β | β... | {"source_file": "formats.md"} | [
-0.0033957608975470066,
-0.03942533954977989,
-0.04639100655913353,
0.05735405534505844,
-0.048688679933547974,
-0.019617870450019836,
-0.025931933894753456,
0.011591394431889057,
-0.024019921198487282,
-0.03312968090176582,
0.046934958547353745,
-0.08551451563835144,
0.05162489786744118,
... |
75ec5fc9-3f3f-4b62-8dcc-63aad4cf2d3a | |
Arrow
| β | β |
|
ArrowStream
| β | β |
|
ORC
| β | β |
|
One
... | {"source_file": "formats.md"} | [
-0.03449348732829094,
-0.03425354138016701,
-0.08427758514881134,
-0.04067516699433327,
-0.03189879283308983,
-0.04185765981674194,
0.004530197009444237,
0.027863480150699615,
-0.0712091252207756,
0.0488802045583725,
0.05627666041254997,
-0.06593611091375351,
0.16885411739349365,
-0.058486... |
2c54911b-b7bf-434c-adcb-94b01c4071ab | You can control some format processing parameters with the ClickHouse settings. For more information read the
Settings
section.
Format schema {#formatschema}
The file name containing the format schema is set by the setting
format_schema
.
It's required to set this setting when it is used one of the formats
Cap'... | {"source_file": "formats.md"} | [
0.03619643673300743,
0.028897196054458618,
-0.05882981792092323,
-0.03731180727481842,
-0.005520511884242296,
-0.03327053785324097,
0.006108306348323822,
0.04422811418771744,
-0.013074938207864761,
0.046503402292728424,
0.0018471110379323363,
-0.07205532491207123,
-0.005511925555765629,
0.... |
8c8d8d48-a24a-4f1d-8027-c8bba4282ebb | description: 'Documentation for the Prometheus protocol support in ClickHouse'
sidebar_label: 'Prometheus protocols'
sidebar_position: 19
slug: /interfaces/prometheus
title: 'Prometheus Protocols'
doc_type: 'reference'
Prometheus protocols
Exposing metrics {#expose}
:::note
If you are using ClickHouse Cloud, yo... | {"source_file": "prometheus.md"} | [
-0.09744097292423248,
0.01193605363368988,
-0.029355963692069054,
0.039722081273794174,
-0.0035969025921076536,
-0.1175123080611229,
-0.00010588533768896013,
-0.046191614121198654,
-0.047082796692848206,
-0.02940347231924534,
0.00534020783379674,
-0.06309337168931961,
0.008660138584673405,
... |
905f6134-053f-47c0-b7c3-7c03f5b08393 | Settings:
| Name | Default | Description |
|------------------------------|------------|--------------------------... | {"source_file": "prometheus.md"} | [
-0.02200070023536682,
0.02604539319872856,
-0.11286847293376923,
-0.05419408529996872,
-0.08265211433172226,
0.021259717643260956,
0.0005575126269832253,
0.014004618860781193,
0.02579379454255104,
-0.04096599295735359,
0.07061802595853806,
-0.026637673377990723,
-0.04954273998737335,
-0.02... |
7dcb9070-0e4f-46de-9c91-cd48f98d3e91 | Settings:
| Name | Default | Description |
|------------------------------|---------|-------------------------... | {"source_file": "prometheus.md"} | [
-0.010641203261911869,
0.02275925502181053,
-0.05466742813587189,
-0.03330705687403679,
-0.08182521164417267,
0.0292845219373703,
0.007413509301841259,
0.011380748823285103,
0.026312120258808136,
-0.062225304543972015,
0.04248277470469475,
-0.04980122670531273,
-0.03565997630357742,
-0.045... |
01190a94-87cd-4b3b-a3e7-2179738fdcea | Settings:
| Name | Default | Description |
|------------------------------|---------|----------------------------... | {"source_file": "prometheus.md"} | [
-0.01835065521299839,
0.013662350364029408,
-0.09514331817626953,
-0.04591146111488342,
-0.08188188821077347,
0.010966011323034763,
-0.0048087602481245995,
0.008924546651542187,
0.023448394611477852,
-0.04994819313287735,
0.05450240895152092,
-0.027562623843550682,
-0.04898149520158768,
-0... |
9a992c9d-ac2f-469f-861b-f7885ba17df6 | description: 'Overview of network interfaces, drivers, and tools for connecting to
ClickHouse'
keywords: ['clickhouse', 'network', 'interfaces', 'http', 'tcp', 'grpc', 'command-line',
'client', 'jdbc', 'odbc', 'driver']
sidebar_label: 'Overview'
slug: /interfaces/overview
title: 'Drivers and Interfaces'
doc_type: '... | {"source_file": "overview.md"} | [
-0.04593561589717865,
-0.023569393903017044,
-0.08342273533344269,
-0.03537513315677643,
-0.08897517621517181,
-0.03797188401222229,
0.02655276469886303,
0.019206637516617775,
-0.03456537798047066,
-0.061426691710948944,
-0.011331308633089066,
-0.009119858033955097,
-0.03901300206780434,
-... |
a4c1e12e-6a25-4083-ae30-70ff5ef01e06 | description: 'Documentation for the native TCP interface in ClickHouse'
sidebar_label: 'Native interface (TCP)'
sidebar_position: 18
slug: /interfaces/tcp
title: 'Native interface (TCP)'
doc_type: 'reference'
Native interface (TCP)
The native protocol is used in the
command-line client
, for inter-server communi... | {"source_file": "tcp.md"} | [
-0.060890085995197296,
0.031954459846019745,
-0.040677547454833984,
-0.05997065454721451,
-0.08479964733123779,
-0.052132561802864075,
0.06079825386404991,
-0.021621445193886757,
-0.04777335003018379,
-0.04509083926677704,
-0.03668346628546715,
-0.051647212356328964,
-0.016845179721713066,
... |
92f397af-3eaf-4253-a464-fc173fb12dac | description: 'Documentation for the ClickHouse command-line client interface'
sidebar_label: 'ClickHouse Client'
sidebar_position: 17
slug: /interfaces/cli
title: 'ClickHouse Client'
doc_type: 'reference'
import Image from '@theme/IdealImage';
import cloud_connect_button from '@site/static/images/_snippets/cloud-co... | {"source_file": "cli.md"} | [
0.002742650918662548,
-0.015398628078401089,
-0.08189269155263901,
0.05428599566221237,
-0.04759230092167854,
0.025582924485206604,
0.05332612246274948,
-0.009681975468993187,
-0.06284765154123306,
0.029828401282429695,
0.02738083526492119,
-0.007816729135811329,
0.08634011447429657,
-0.09... |
00713197-7e36-4275-baec-34e7c6b449d5 | :)
```
Specify additional connection details as necessary:
| Option | Description |
|----------------------------------|----... | {"source_file": "cli.md"} | [
-0.023142864927649498,
-0.011915916576981544,
-0.12052687257528305,
-0.07406134903430939,
-0.12514305114746094,
-0.004632559604942799,
-0.0233451034873724,
-0.04916366562247276,
-0.012812148779630661,
-0.031160037964582443,
0.09865543246269226,
0.008821405470371246,
0.0022802322637289762,
... |
9e27dc76-be45-488b-9fec-0a397af73fb5 | See the
section on configuration files
for more information.
:::note
To concentrate on the query syntax, the rest of the examples leave off the connection details (
--host
,
--port
, etc.). Remember to add them when you use the commands.
:::
Interactive mode {#interactive-mode}
Using interactive mode {#using-i... | {"source_file": "cli.md"} | [
0.06912355124950409,
-0.03410870209336281,
-0.10468871891498566,
0.07471133023500443,
-0.09842386096715927,
-0.03419452905654907,
0.0723184272646904,
0.005032103043049574,
-0.08076144754886627,
-0.0017133729998022318,
0.02444186992943287,
-0.02873985655605793,
0.09954312443733215,
-0.05752... |
0d3c5d15-0cf6-4c21-a2cf-fc7c7540bc1d | Aliases {#cli_aliases}
You can use the following aliases from within the REPL:
\l
- SHOW DATABASES
\d
- SHOW TABLES
\c <DATABASE>
- USE DATABASE
.
- repeat the last query
Keyboard shortcuts {#keyboard_shortcuts}
Alt (Option) + Shift + e
- open editor with the current query. It is possible to sp... | {"source_file": "cli.md"} | [
0.023075131699442863,
-0.0920891985297203,
-0.007419845554977655,
0.025695238262414932,
-0.041686009615659714,
0.04347296059131622,
0.04642758518457413,
0.05561046674847603,
-0.02777048386633396,
0.047499820590019226,
0.05941686034202576,
-0.05271504819393158,
0.08244933187961578,
-0.01486... |
d43ae904-1202-4014-8a4a-872f3d3e0707 | bash
cat file.csv | clickhouse-client --database=test --query="INSERT INTO test FORMAT CSV";
In batch mode, the default data
format
is
TabSeparated
.
You can set the format in the
FORMAT
clause of the query as shown in the example above.
Queries with parameters {#cli-queries-with-parameters}
You can specify ... | {"source_file": "cli.md"} | [
0.05120411887764931,
0.04982366785407066,
-0.09448690712451935,
0.062336746603250504,
-0.1680227518081665,
0.016629204154014587,
0.08855954557657242,
0.02404230833053589,
-0.04130232706665993,
-0.008471478708088398,
-0.03283698484301567,
-0.07803984731435776,
0.09213012456893921,
-0.044018... |
50afd1e3-e9c3-4e89-89f5-d1eb7b058c7f | Query syntax {#cli-queries-with-parameters-syntax}
In the query, place the values that you want to fill using command-line parameters in braces in the following format:
sql
{<name>:<data type>}
| Parameter | Description ... | {"source_file": "cli.md"} | [
-0.005151867866516113,
0.07190705835819244,
0.006160432007163763,
0.049036215990781784,
-0.15334218740463257,
-0.0015968958614394069,
0.07104367017745972,
0.07924873381853104,
-0.03995468467473984,
0.00025664674467407167,
-0.018174489960074425,
-0.13689236342906952,
0.08771705627441406,
-0... |
4d1d9327-35ca-443e-89f6-ab9056b7c278 | Usage {#ai-sql-generation-usage}
To use AI SQL generation, prefix your natural language query with
??
:
bash
:) ?? show all users who made purchases in the last 30 days
The AI will:
1. Explore your database schema automatically
2. Generate appropriate SQL based on the discovered tables and columns
3. Execute the... | {"source_file": "cli.md"} | [
0.0080886110663414,
-0.003451302647590637,
-0.06615181267261505,
0.04827630892395973,
-0.06460834294557571,
0.0767362043261528,
0.06373625248670578,
0.022936932742595673,
-0.03412972018122673,
0.02258487232029438,
0.1027991846203804,
-0.056487131863832474,
0.09434959292411804,
-0.066183291... |
0aac555c-26c8-41b1-bf79-26446bd4d099 | <!-- Generation parameters -->
<temperature>0.0</temperature>
<max_tokens>1000</max_tokens>
<timeout_seconds>30</timeout_seconds>
<max_steps>10</max_steps>
<!-- Optional: Custom system prompt -->
<!-- <system_prompt>You are an expert ClickHouse SQL assistant...</system_p... | {"source_file": "cli.md"} | [
0.031133458018302917,
-0.05022117868065834,
-0.11714180558919907,
0.07907694578170776,
0.015589896589517593,
-0.07150771468877792,
0.021158425137400627,
0.039341311901807785,
-0.015460411086678505,
0.015186871401965618,
0.01403834018856287,
-0.09392297267913818,
0.0517503060400486,
-0.0227... |
a6ceb860-5313-4d2b-b32f-e3d18b3b9da8 | Connection settings
- `base_url` - Custom API endpoint for OpenAI-compatible services (optional)
- `timeout_seconds` - Request timeout in seconds (default: `30`)
Schema exploration
- `enable_schema_access` - Allow AI to explore database schemas (default: `true`)
- `max_steps` - Maximum tool-calling steps for ... | {"source_file": "cli.md"} | [
-0.008013078011572361,
-0.05444790795445442,
-0.1235986053943634,
0.08856852352619171,
0.0016051321290433407,
-0.0652458593249321,
-0.009596875868737698,
0.006973500829190016,
0.0018267746781930327,
0.00908398162573576,
-0.0038011157885193825,
-0.08584000170230865,
0.049404412508010864,
-0... |
5f8ab575-5bb3-40ca-bc9e-962dac022a6e | text
clickhouse:[//[user[:password]@][hosts_and_ports]][/database][?query_parameters]
| Component (all optional) | Description | Default |
|------------------... | {"source_file": "cli.md"} | [
0.06515306979417801,
0.03561881557106972,
-0.06715229898691177,
0.05482588708400726,
-0.07425298541784286,
0.018350739032030106,
0.08110252767801285,
-0.023379119113087654,
-0.044595666229724884,
-0.049902841448783875,
0.028905658051371574,
-0.05829023942351341,
0.0742831751704216,
-0.0484... |
1aa4b326-3ca8-4e06-a83c-159a62c86de7 | Percent encoding
Non-US ASCII, spaces and special characters in the following parameters must be
percent-encoded
:
-
user
-
password
-
hosts
-
database
-
query parameters
Examples {#connection_string_examples}
Connect to
localhost
on port 9000 and execute the query
SELECT 1
.
bash
clickhouse-clie... | {"source_file": "cli.md"} | [
0.041581086814403534,
-0.016449980437755585,
-0.09251993149518967,
-0.031320273876190186,
-0.12563170492649078,
-0.023031750693917274,
0.0463605634868145,
-0.02142021246254444,
-0.021626178175210953,
-0.05376441776752472,
0.001088247518055141,
-0.05132438614964485,
0.058935437351465225,
0.... |
d787ab35-92ad-40b2-92a7-12423a7899bf | Example
xml
<config>
<query_id_formats>
<speedscope>http://speedscope-host/#profileURL=qp%3Fid%3D{query_id}</speedscope>
</query_id_formats>
</config>
With the configuration above, the ID of a query is shown in the following format:
response
speedscope:http://speedscope-host/#profileURL=qp%3Fid%3Dc8ecc783... | {"source_file": "cli.md"} | [
-0.033640820533037186,
0.06533274799585342,
-0.08287464082241058,
0.028745638206601143,
-0.054864302277565,
-0.006425594445317984,
0.021746354177594185,
-0.014038577675819397,
-0.018290512263774872,
-0.06882172077894211,
0.0482197143137455,
-0.0346112959086895,
0.06777029484510422,
-0.0481... |
e4bd4eeb-3fa9-4bd0-92e9-bc4750ea5398 | All command-line options can be specified directly on the command line or as defaults in the
configuration file
.
General options {#command-line-options-general}
| Option | Description ... | {"source_file": "cli.md"} | [
0.04370155930519104,
-0.012054530903697014,
-0.04189188405871391,
-0.004053803626447916,
-0.06963342428207397,
0.02348865568637848,
-0.008911998942494392,
0.07399818301200867,
-0.060941897332668304,
0.013288108631968498,
0.03992617875337601,
-0.07928360998630524,
-0.0159973856061697,
-0.01... |
2ea8fb17-d9c4-4023-b62d-85d175319dab | | Option | Description ... | {"source_file": "cli.md"} | [
0.008085514418780804,
0.04951641336083412,
0.012752349488437176,
0.009898955933749676,
-0.023500390350818634,
0.058656468987464905,
0.023738451302051544,
0.04978695511817932,
0.033885810524225235,
-0.04546678811311722,
0.030632834881544113,
-0.05081891268491745,
-0.06312433630228043,
-0.03... |
3adf51e2-a047-44f5-bcee-7995dfcbbec2 | |
--no-warnings
| Disable showing warnings from
system.warnings
when the client connects to the server. ... | {"source_file": "cli.md"} | [
0.028339127078652382,
0.025207431986927986,
-0.08444366604089737,
-0.025344768539071083,
-0.06461135298013687,
-0.010800402611494064,
0.007524911779910326,
-0.06674303114414215,
0.027792884036898613,
0.006501446943730116,
0.018806176260113716,
-0.028680404648184776,
0.11269280314445496,
0.... |
ef1a4e2c-9b40-4891-862b-99491dc88e16 | |
-u [ --user ] <username>
| The database user to connect as. ... | {"source_file": "cli.md"} | [
0.061583466827869415,
-0.04856265336275101,
-0.1342233121395111,
0.023352034389972687,
-0.12008446455001831,
0.023545581847429276,
0.06567459553480148,
0.01696069724857807,
-0.05582401156425476,
-0.017815610393881798,
-0.00043179048225283623,
-0.022017259150743484,
0.08745765686035156,
0.0... |
48daecc4-7d81-41f5-85c3-700e05aa3c8d | :::note
Instead of the
--host
,
--port
,
--user
and
--password
options, the client also supports
connection strings
.
:::
Query options {#command-line-options-query} | {"source_file": "cli.md"} | [
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0.... |
bb791770-848b-4d46-a202-aa823166dc2a | | Option | Description ... | {"source_file": "cli.md"} | [
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0.03388090804219246,
-0.045555029064416885,
-0.060338523238897324,
-0.0... |
333ce2e6-af7f-4d4f-a4ff-3b80bea605a3 | |
-m [ --multiline ]
| If specified, allow multiline queries (do not send the query on Enter). Queries will be sent only when they are ended with a semicolon. ... | {"source_file": "cli.md"} | [
0.025852181017398834,
0.02217964641749859,
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0.06638577580451965,
-0.048547204583883286,
0.10149060934782028,
-0.0762... |
fd3d69f9-842f-4e5d-8557-d30d53e8ed44 | Query settings {#command-line-options-query-settings}
Query settings can be specified as command-line options in the client, for example:
bash
$ clickhouse-client --max_threads 1
See
Settings
for a list of settings.
Formatting options {#command-line-options-formatting}
| Option | Descripti... | {"source_file": "cli.md"} | [
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0.009338674135506153,
0.0059517137706279755,
-0.05483730882406235,
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-0.09... |
1407c129-f759-4be6-bfc7-b593b1009d01 | | Option | Description ... | {"source_file": "cli.md"} | [
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-0.050821755081415176,
-0.06302782893180847,
-0.0359... |
953e74a6-4836-4d2d-9b40-b5abda28e393 | tty
in interactive mode,
off
in non-interactive (batch) mode |
|
--progress-table
| Print a progress table with changing metrics during query execution.
Possible values:
β’
tty\|on\|1\|true\|yes
- outputs to the terminal in interactive mode
β’
err
- outputs to
stderr
non-interactive mode
... | {"source_file": "cli.md"} | [
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bc7fb78d-0b2e-485b-a4f7-c31e3e7e2160 | description: 'Documentation for the Apache Arrow Flight interface in ClickHouse, allowing Flight SQL clients to connect to ClickHouse'
sidebar_label: 'Arrow Flight Interface'
sidebar_position: 26
slug: /interfaces/arrowflight
title: 'Arrow Flight Interface'
doc_type: 'reference'
Apache Arrow Flight Interface
Clic... | {"source_file": "arrowflight.md"} | [
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-0.025427255779504776,
0.02... |
2fdd3f2d-93c8-4fd4-b073-6239aab1cf53 | For more details, see:
Apache Arrow Flight SQL specification
ClickHouse GitHub Issue #7554 | {"source_file": "arrowflight.md"} | [
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b562bc2a-32ff-4b5e-9db3-2418ba73d192 | description: 'Documentation for the MySQL protocol interface in ClickHouse, allowing
MySQL clients to connect to ClickHouse'
sidebar_label: 'MySQL Interface'
sidebar_position: 25
slug: /interfaces/mysql
title: 'MySQL Interface'
doc_type: 'guide'
import Image from '@theme/IdealImage';
import mysql0 from '@site/sta... | {"source_file": "mysql.md"} | [
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0.030... |
ca67a958-7fba-480a-8dfd-2f6f63126b40 | Copy the MySQL connection string shown.
Creating multiple MySQL users in ClickHouse Cloud {#creating-multiple-mysql-users-in-clickhouse-cloud}
By default, there is a built-in
mysql4<subdomain>
user, which uses the same password as the
default
one. The
<subdomain>
part is the first segment of your ClickHouse... | {"source_file": "mysql.md"} | [
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-0.09951591491699219,
0.18546603620052338,
-0.01175... |
846f8492-7ec6-415d-9b44-298b57775b8f | In this case, ensure that the username follows the
mysql4<subdomain>_<username>
format, as described (
above
).
Enabling the MySQL interface on self-managed ClickHouse {#enabling-the-mysql-interface-on-self-managed-clickhouse}
Add the
mysql_port
setting to your server's configuration file. For example, you coul... | {"source_file": "mysql.md"} | [
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0.10485170036554337,
0.04... |
d1b1874b-0f8f-4d2a-ac62-4eeebf4ee9ab | description: 'Documentation for the SSH interface in ClickHouse'
keywords: ['client', 'ssh', 'putty']
sidebar_label: 'SSH Interface'
sidebar_position: 60
slug: /interfaces/ssh
title: 'SSH Interface'
doc_type: 'reference'
import ExperimentalBadge from '@theme/badges/ExperimentalBadge';
import CloudNotSupportedBadge ... | {"source_file": "ssh.md"} | [
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-0.07676459848880768,
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0.04505544155836105,
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0.047733038663864136,
-0.020690850913524628,
0.11049238592386246,
0.0... |
2765feab-f615-4bcb-bd1d-79ee20ada0f6 | You are able to change any user-level setting this way and additionally pass most of the ordinary
clickhouse-client
options (except ones which don't make sense in this setup.)
Important:
In case if both
query
option and the SSH command is passed, the latter one is added to the list of queries to execute:
bash... | {"source_file": "ssh.md"} | [
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0.03597874194383621,
-0.04277132451534271,
0.059859633445739746,
-0.01... |
ee42036d-852e-4d6f-bbae-44246bd20a4f | description: 'Documentation for the PostgreSQL wire protocol interface in ClickHouse'
sidebar_label: 'PostgreSQL Interface'
sidebar_position: 20
slug: /interfaces/postgresql
title: 'PostgreSQL Interface'
doc_type: 'reference'
import CloudNotSupportedBadge from '@theme/badges/CloudNotSupportedBadge';
PostgreSQL In... | {"source_file": "postgresql.md"} | [
-0.04586120694875717,
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0.02885199338197708,
-0.02327474020421505,
-0.0... |
a15b28f1-e82b-4772-ac34-0996d0ec4124 | Configuring ClickHouse user authentication with SCRAM-SHA-256 {#using-scram-sha256}
To ensure secure user authentication in ClickHouse, it is recommended to use the SCRAM-SHA-256 protocol. Configure the user by specifying the
password_scram_sha256_hex
element in the users.xml file. The password hash must be generat... | {"source_file": "postgresql.md"} | [
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0.03983364626765251,
0.02621326595544815,
-0.... |
d8198593-f09c-42f9-9db8-c38cb978e56a | description: 'Documentation for the gRPC interface in ClickHouse'
sidebar_label: 'gRPC Interface'
sidebar_position: 25
slug: /interfaces/grpc
title: 'gRPC Interface'
doc_type: 'reference'
gRPC Interface
Introduction {#grpc-interface-introduction}
ClickHouse supports
gRPC
interface. It is an open source remote... | {"source_file": "grpc.md"} | [
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0.0... |
8962b894-a8f5-41e2-bbab-5c63a2101418 | --user USER_NAME, -u USER_NAME
β A user name. Default value:
default
.
--password PASSWORD
β A password. Default value: empty string.
--query QUERY, -q QUERY
β A query to process when using non-interactive mode.
--database DATABASE, -d DATABASE
β A default database. If not specified, the current database set... | {"source_file": "grpc.md"} | [
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0.07205640524625778,
-0.038848... |
b66909d3-9319-40af-826f-b0498dc4888b | description: 'Documentation for the ClickHouse ODBC driver'
sidebar_label: 'ODBC Driver'
sidebar_position: 35
slug: /interfaces/odbc
title: 'ODBC Driver'
doc_type: 'reference'
ODBC driver
Use the
official ODBC driver
for accessing ClickHouse as a data source. | {"source_file": "odbc.md"} | [
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-0.... |
ce9354f2-1ea8-451d-9c7e-b53fca711f50 | description: 'Guide to using the JDBC driver for connecting to ClickHouse from Java
applications'
sidebar_label: 'JDBC Driver'
sidebar_position: 20
slug: /interfaces/jdbc
title: 'JDBC Driver'
doc_type: 'guide'
JDBC driver
Use the
official JDBC driver
(and Java client) to access ClickHouse from your Java appli... | {"source_file": "jdbc.md"} | [
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-0.... |
0ec39a06-764e-4483-b15a-c9379b693992 | description: 'Documentation for the ClickHouse C++ client library and integration
with u-server framework'
sidebar_label: 'C++ Client Library'
sidebar_position: 24
slug: /interfaces/cpp
title: 'C++ Client Library'
doc_type: 'reference'
C++ client library
See README at
clickhouse-cpp
repository.
Userver asyn... | {"source_file": "cpp.md"} | [
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... |
1dc53288-aa7f-4e8e-8100-7bc58ebd7164 | description: 'Page describing automatic schema inference from input data in ClickHouse'
sidebar_label: 'Schema inference'
slug: /interfaces/schema-inference
title: 'Automatic schema inference from input data'
doc_type: 'reference'
ClickHouse can automatically determine the structure of input data in almost all supp... | {"source_file": "schema-inference.md"} | [
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0.06298212707042694,
0.06... |
50a97d7c-2f70-4389-89a2-41095c4c6247 | Table engines
File
,
S3
,
URL
,
HDFS
,
azureBlobStorage
{#table-engines-file-s3-url-hdfs-azureblobstorage}
If the list of columns is not specified in
CREATE TABLE
query, the structure of the table will be inferred automatically from the data.
Example:
Let's use the file
hobbies.jsonl
. We can create a ta... | {"source_file": "schema-inference.md"} | [
-0.013218284584581852,
-0.04772653430700302,
-0.08730214834213257,
0.05657666176557541,
0.018177565187215805,
0.005531894974410534,
0.022412260994315147,
-0.020254023373126984,
-0.03185294196009636,
0.07185472548007965,
0.07632546871900558,
-0.05677887424826622,
0.05755646899342537,
-0.009... |
aefa386e-d3e7-4f03-a04f-78a4bc0ac9df | There is a special setting
use_structure_from_insertion_table_in_table_functions
that controls this behaviour. It has 3 possible values:
- 0 - table function will extract the structure from the data.
- 1 - table function will use the structure from the insertion table.
- 2 - ClickHouse will automatically determine if... | {"source_file": "schema-inference.md"} | [
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0.008384970016777515,
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0.014306862838566303,
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0.04236527532339096,
0.10862656682729721,
-0.01392530556768179,
0.032217320054769516,
0.0... |
e2cd6c00-e952-4fb1-aa3a-427ea0ace8dc | Schema inference cache {#schema-inference-cache}
For most input formats schema inference reads some data to determine its structure and this process can take some time.
To prevent inferring the same schema every time ClickHouse read the data from the same file, the inferred schema is cached and when accessing the sam... | {"source_file": "schema-inference.md"} | [
0.01219071727246046,
-0.05446343496441841,
-0.05848618969321251,
0.021052764728665352,
0.04784514755010605,
-0.027429621666669846,
-0.01592533104121685,
-0.07567042112350464,
0.07060879468917847,
0.1011289432644844,
0.005954187363386154,
0.02797504886984825,
0.0450882650911808,
-0.00936166... |
876705b8-7eab-40ee-b86b-c7a632ea5d9b | 5 rows in set. Elapsed: 0.601 sec.
sql
DESCRIBE TABLE s3('https://datasets-documentation.s3.eu-west-3.amazonaws.com/github/github-2022.ndjson.gz')
SETTINGS allow_experimental_object_type = 1
response
ββnameββββββββ¬βtypeββββββββββββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_express... | {"source_file": "schema-inference.md"} | [
-0.04706132784485817,
-0.05893116816878319,
-0.0064583574421703815,
0.062425922602415085,
0.01217863243073225,
-0.09112878888845444,
-0.03923184424638748,
-0.054235849529504776,
-0.008251315914094448,
0.023868849501013756,
0.08051912486553192,
-0.05138023570179939,
0.0014458760851994157,
-... |
e82b2cfd-5416-47a9-845c-997f096ff770 | Let's check the content of
system.schema_inference_cache
table:
sql
SELECT schema, format, source FROM system.schema_inference_cache WHERE storage='S3'
response
ββschemaβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ¬βf... | {"source_file": "schema-inference.md"} | [
-0.06153968721628189,
-0.06506180018186569,
-0.08801287412643433,
-0.01635614037513733,
0.041823871433734894,
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-0.037950340658426285,
-0.06450770050287247,
0.03129279240965843,
0.02437153272330761,
0.05208433419466019,
-0.04766570404171944,
0.013807551003992558,
-0.037... |
5b4ff7a4-9409-48e4-b2f6-dffdeef6fd7d | Integers, Floats, Bools, Strings:
sql
DESC format(JSONEachRow, '{"int" : 42, "float" : 42.42, "string" : "Hello, World!"}');
response
ββnameββββ¬βtypeβββββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β int β Nullable(Int64) β β β ... | {"source_file": "schema-inference.md"} | [
0.0034110997803509235,
0.021192079409956932,
-0.007947240024805069,
0.05098642408847809,
-0.08386214822530746,
-0.024926839396357536,
-0.009033294394612312,
-0.004677135031670332,
-0.037663452327251434,
0.03390388935804367,
0.030984794721007347,
-0.08794088661670685,
-0.009052286855876446,
... |
23f303f1-30fd-408e-8f10-e2ca3e87eac7 | sql
SET input_format_json_infer_array_of_dynamic_from_array_of_different_types=1;
DESC format(JSONEachRow, '{"arr" : [42, "hello", [1, 2, 3]]}');
response
ββnameββ¬βtypeββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β arr β Array(Dynamic) β β ... | {"source_file": "schema-inference.md"} | [
0.024138208478689194,
-0.07337144762277603,
0.03584074601531029,
0.0152188241481781,
-0.08913896977901459,
-0.0427277572453022,
0.006675814278423786,
-0.03753601014614105,
-0.048311997205019,
-0.03480351343750954,
-0.04758131876587868,
-0.05765248090028763,
-0.025635430589318275,
0.0195984... |
db228037-4766-458d-a960-21f2cd0d6c81 | response
ββnameβββ¬βtypeββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β tuple β Tuple(Nullable(Int64), Nullable(String), Array(Nullable(Int64))) β β β β β ... | {"source_file": "schema-inference.md"} | [
0.08594057708978653,
-0.017544452100992203,
-0.02251882664859295,
0.016078375279903412,
-0.11509060859680176,
-0.012387321330606937,
-0.02161187306046486,
0.013336868956685066,
-0.12161166965961456,
-0.004509129095822573,
-0.007867183536291122,
-0.04097023606300354,
-0.009740163572132587,
... |
587b3fb5-f639-408a-b00b-f77d68872751 | sql
DESC format(JSONEachRow, '{"arr" : [null, null]}') SETTINGS input_format_json_infer_incomplete_types_as_strings = 1;
response
ββnameββ¬βtypeβββββββββββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β arr β Array(Nullable(String)) β β β ... | {"source_file": "schema-inference.md"} | [
0.0244505126029253,
-0.055701933801174164,
-0.04515637829899788,
0.014496961608529091,
-0.09101516753435135,
-0.005514440126717091,
-0.03168190270662308,
-0.0029801258351653814,
-0.06658028811216354,
-0.01762433722615242,
-0.0009209311101585627,
-0.007782352156937122,
-0.028706854209303856,
... |
8cffb954-ba27-4b93-8c1e-1cd6a16b4f77 | sql
SET input_format_json_try_infer_named_tuples_from_objects = 1;
DESC format(JSONEachRow, '{"array" : [{"a" : 42, "b" : "Hello"}, {}, {"c" : [1,2,3]}, {"d" : "2020-01-01"}]}')
Result:
markdown
ββnameβββ¬βtypeβββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ¬βdefault_typeβ... | {"source_file": "schema-inference.md"} | [
-0.0032027640845626593,
-0.006562582682818174,
0.004353910684585571,
0.05488276109099388,
-0.04867352545261383,
0.009183238260447979,
-0.011086378246545792,
-0.0017099197721108794,
-0.08203232288360596,
-0.027752729132771492,
-0.02034888230264187,
-0.027089495211839676,
-0.001990654738619923... |
d5021ac9-94a0-4c79-ad2d-a6144147a8e3 | input_format_json_read_objects_as_strings {#input_format_json_read_objects_as_strings}
Enabling this setting allows reading nested JSON objects as strings.
This setting can be used to read nested JSON objects without using JSON object type.
This setting is enabled by default.
Note: enabling this setting will take... | {"source_file": "schema-inference.md"} | [
0.018091510981321335,
-0.04566822573542595,
-0.01052791252732277,
0.03662095591425896,
-0.10176657140254974,
-0.010707983747124672,
-0.05240735039114952,
0.028728559613227844,
-0.02931581810116768,
-0.025732330977916718,
-0.03070477582514286,
0.017343437299132347,
-0.014672597870230675,
0.... |
2af44c33-e905-4807-8584-4f9eea3ab9c3 | response
ββnameβββ¬βtypeββββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β value β Nullable(String) β β β β β β
βββββββββ΄βββββββββββββββββββ΄βββββββββββββββ΄βββββββββββββββββββββ΄ββββββββββ΄βββββββββββββββ... | {"source_file": "schema-inference.md"} | [
0.02966507151722908,
-0.017068393528461456,
-0.013319474644958973,
0.01606600731611252,
-0.12031001597642899,
-0.0188992191106081,
0.014819079078733921,
-0.005469626281410456,
-0.08279857784509659,
-0.05768563970923424,
-0.03504369780421257,
0.019089356064796448,
-0.007537905126810074,
0.0... |
8eb639df-ff49-443d-a01d-c470ed2f4748 | ββobjβββββββββββββββββββββββββββββ
β ([1,2,3],'hello',NULL,'{}',[]) β
ββββββββββββββββββββββββββββββββββ
```
CSV {#csv}
In CSV format ClickHouse extracts column values from the row according to delimiters. ClickHouse expects all types except numbers and strings to be enclosed in double quotes. If the value is in do... | {"source_file": "schema-inference.md"} | [
-0.012531799264252186,
-0.003938000649213791,
-0.015676112845540047,
0.03487450256943703,
0.001366169424727559,
-0.09036938846111298,
0.03404927998781204,
-0.04907156527042389,
0.002423018217086792,
0.00555054796859622,
0.030080776661634445,
-0.0858047604560852,
0.03663400560617447,
-0.027... |
c95e8711-826b-4a19-b89e-5592c4bf612c | Dates, DateTimes:
sql
DESC format(CSV, '"2020-01-01","2020-01-01 00:00:00","2022-01-01 00:00:00.000"')
response
ββnameββ¬βtypeβββββββββββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β c1 β Nullable(Date) β β β β ... | {"source_file": "schema-inference.md"} | [
0.007776972837746143,
0.015219506807625294,
-0.017984984442591667,
0.047521770000457764,
-0.03921793773770332,
-0.04145617410540581,
0.013963326811790466,
-0.031277548521757126,
-0.04135395586490631,
0.03738127276301384,
0.0072943903505802155,
-0.06128469109535217,
-0.0031567856203764677,
... |
58e46996-3247-49cd-a99f-b9302d6f7a5d | Nested Arrays and Maps:
sql
DESC format(CSV, $$"[{'key1' : [[42, 42], []], 'key2' : [[null], [42]]}]"$$)
response
ββnameββ¬βtypeβββββββββββββββββββββββββββββββββββββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β c1 β Array(Map(String, Array(Array(Nullable(Int64))))) β... | {"source_file": "schema-inference.md"} | [
0.04558466747403145,
0.015500770881772041,
-0.037740208208560944,
0.038002900779247284,
-0.07206028699874878,
-0.03281731158494949,
0.025207430124282837,
-0.027662580832839012,
-0.06534501165151596,
0.042619653046131134,
-0.006045233923941851,
-0.07814480364322662,
0.04586625471711159,
-0.... |
53a6cf76-ff32-4fa3-8acc-7e0f2610459d | Note that the header can be detected only if there is at least one column with a non-String type. If all columns have String type, the header is not detected:
sql
SELECT * FROM format(CSV,
$$"first_column","second_column"
"Hello","World"
"World","Hello"
$$)
response
ββc1ββββββββββββ¬βc2βββββββββββββ
β first_column β... | {"source_file": "schema-inference.md"} | [
0.0007835670257918537,
-0.00179701775778085,
-0.0656420961022377,
0.006767980754375458,
0.0015615355223417282,
0.025264021009206772,
0.030481470748782158,
0.03695424646139145,
0.015237930230796337,
-0.0002688273962121457,
-0.04929395765066147,
-0.11493328213691711,
0.03389628231525421,
-0.... |
5ae44299-ffbd-46e1-8318-ab40bfb35c49 | sql
DESC format(TSKV, 'int=42 float=42.42 bool=true string=Hello,World!\n')
response
ββnameββββ¬βtypeβββββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β int β Nullable(Int64) β β β β β ... | {"source_file": "schema-inference.md"} | [
0.007294256240129471,
-0.03167608380317688,
0.0159250870347023,
0.047880977392196655,
-0.03980817273259163,
-0.03637383133172989,
-0.00579888466745615,
-0.023369060829281807,
-0.057935480028390884,
0.07235482335090637,
-0.012433103285729885,
-0.07018422335386276,
-0.055449228733778,
-0.006... |
874b0498-75b0-4a86-a085-56b14b3fb244 | If an array contains null, ClickHouse will use types from the other array elements:
sql
DESC format(TSV, '[NULL, 42, NULL]')
response
ββnameββ¬βtypeββββββββββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β c1 β Array(Nullable(Int64)) β β ... | {"source_file": "schema-inference.md"} | [
0.058522455394268036,
-0.035643164068460464,
0.00650758808478713,
0.029460430145263672,
-0.048428427428007126,
-0.04734797775745392,
0.03888604789972305,
-0.10225332528352737,
-0.08630379289388657,
0.00994621030986309,
0.022559108212590218,
-0.03188251331448555,
0.016886183992028236,
-0.04... |
d2019af6-fc74-4345-aaa4-d1a46b859c2d | sql
SET input_format_tsv_use_best_effort_in_schema_inference = 0
DESC format(TSV, '[1,2,3] 42.42 Hello World!')
response
ββnameββ¬βtypeββββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β c1 β Nullable(String) β β β β ... | {"source_file": "schema-inference.md"} | [
0.0052415248937904835,
-0.004115255083888769,
-0.009327853098511696,
-0.005024902522563934,
-0.008945940062403679,
-0.01945500820875168,
0.06571736931800842,
-0.02550346590578556,
-0.08566445112228394,
0.0788615420460701,
-0.08282066136598587,
-0.10616882145404816,
-0.011751214973628521,
0... |
dcbbf438-721a-4924-9d96-992be13d73dc | Examples:
Integers, Floats, Bools, Strings:
sql
DESC format(Values, $$(42, 42.42, true, 'Hello,World!')$$)
response
ββnameββ¬βtypeβββββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β c1 β Nullable(Int64) β β β β ... | {"source_file": "schema-inference.md"} | [
0.020181061699986458,
-0.007967466488480568,
-0.03032749332487583,
0.04893463850021362,
-0.050493914633989334,
-0.0324956513941288,
0.007699939887970686,
-0.05130654573440552,
-0.07543301582336426,
0.05613919347524643,
0.023179303854703903,
-0.06529317051172256,
-0.007321689743548632,
-0.0... |
f668593c-e0d0-4cea-bd0c-ce11806af904 | Tuples:
sql
DESC format(Values, $$((42, 'Hello, world!'))$$)
response
ββnameββ¬βtypeββββββββββββββββββββββββββββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β c1 β Tuple(Nullable(Int64), Nullable(String)) β β β β ... | {"source_file": "schema-inference.md"} | [
0.035372886806726456,
-0.004050811752676964,
0.018151411786675453,
0.010854140855371952,
-0.044747885316610336,
-0.04988297075033188,
0.06555473059415817,
-0.09230732172727585,
-0.0669645294547081,
0.002248130738735199,
0.06755753606557846,
-0.0606241449713707,
0.03306649252772331,
-0.0240... |
bff5b1a4-e516-4892-b113-a5878ee0dd19 | In CustomSeparated format ClickHouse first extracts all column values from the row according to specified delimiters and then tries to infer
the data type for each value according to escaping rule.
If setting
input_format_custom_detect_header
is enabled, ClickHouse will try to detect the header with column names (a... | {"source_file": "schema-inference.md"} | [
0.044985201209783554,
0.011450941674411297,
-0.02153731882572174,
0.011415784247219563,
-0.036612559109926224,
0.0092249047011137,
-0.007721624802798033,
0.00834309309720993,
-0.07322932779788971,
0.04031945392489433,
0.008086863905191422,
-0.12686336040496826,
0.03184332698583603,
-0.0896... |
e4dfce18-b39b-4dbc-a465-73ed7a1199dd | Then we can make the next queries:
```sql
SET format_template_rows_between_delimiter = '
\n',
format_template_row = 'row_format',
format_template_resultset = 'resultset_format'
DESC format(Template, $$
42.42
'Some string 1'
[1, null, 2]
\N
'Some string 3'
[1, 2, null]
$$)
response
ββnameββββ... | {"source_file": "schema-inference.md"} | [
-0.0035136998631060123,
0.030487295240163803,
-0.03138761967420578,
0.03692304342985153,
-0.06360810995101929,
0.03303692862391472,
0.060551099479198456,
0.020358765497803688,
-0.09079501032829285,
0.020752236247062683,
-0.057424504309892654,
-0.047372061759233475,
0.005217520520091057,
-0... |
b1e84aa0-34ad-4581-8d42-6a688f7b568e | Example
sql
DESC format(TSV, 'Hello, World! 42 [1, 2, 3]') settings column_names_for_schema_inference = 'str,int,arr'
response
ββnameββ¬βtypeββββββββββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β str β Nullable(String) β β ... | {"source_file": "schema-inference.md"} | [
0.007752254605293274,
-0.04619131237268448,
-0.040480952709913254,
0.006197284907102585,
-0.033657148480415344,
-0.0077093071304261684,
-0.057898979634046555,
0.007396360859274864,
-0.08446797728538513,
0.025954410433769226,
0.0020860948134213686,
-0.04629091918468475,
-0.04539932683110237,
... |
10ee600f-259f-4e37-b39c-ed729981511d | Default: 3.
Examples
sql
SET schema_inference_make_columns_nullable = 1;
DESC format(JSONEachRow, $$
{"id" : 1, "age" : 25, "name" : "Josh", "status" : null, "hobbies" : ["football", "cooking"]}
{"id" : 2, "age" : 19, "name" : "Alan", "status" : "... | {"source_file": "schema-inference.md"} | [
0.015576496720314026,
0.01848425343632698,
-0.05073520913720131,
0.01632176712155342,
-0.04074619710445404,
0.0227696280926466,
-0.029427804052829742,
0.0007439368055202067,
-0.04763834550976753,
0.040925413370132446,
0.07032201439142227,
-0.057052746415138245,
-0.005173363257199526,
-0.00... |
4381bfee-4881-4e22-b4ef-ce27b13ad35b | ```response
ββnameβββββ¬βtypeβββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β id β Int64 β β β β β β
β age β Int64 β β β β ... | {"source_file": "schema-inference.md"} | [
0.010957150720059872,
0.00836003478616476,
-0.040569230914115906,
0.004624322522431612,
-0.01962481066584587,
0.003428541822358966,
0.05289926007390022,
-0.0163153987377882,
-0.07524555176496506,
-0.002555695828050375,
0.01643524132668972,
-0.062294699251651764,
0.01798143796622753,
0.0383... |
2e477de4-353f-452c-a9b9-2d43b14f216e | sql
DESC format(JSONEachRow, $$
{"number" : 1}
{"number" : 2.2}
$$)
response
ββnameββββ¬βtypeβββββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β number β Nullable(Float64) β ... | {"source_file": "schema-inference.md"} | [
0.035057295113801956,
-0.024649757891893387,
0.0035586131270974874,
0.044642433524131775,
-0.009733851999044418,
0.015869509428739548,
-0.04461901634931564,
0.024581875652074814,
0.011142945848405361,
-0.01980479434132576,
-0.023474417626857758,
-0.077608123421669,
-0.04520729184150696,
0.... |
1b5a1161-5cb6-4783-a3d2-bb3c94df0df4 | response
ββnameββββββββ¬βtypeββββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β datetime β Nullable(String) β β β β β β
β datetime64 β Nullable(String) β β β β... | {"source_file": "schema-inference.md"} | [
0.018572917208075523,
-0.04711604863405228,
-0.022240620106458664,
0.039748016744852066,
-0.017864637076854706,
0.04148603603243828,
-0.07928445190191269,
-0.0006118397577665746,
-0.0241362527012825,
-0.01546176616102457,
-0.027803491801023483,
-0.07566852122545242,
-0.059771906584501266,
... |
26c5ea32-f956-4675-86ac-1c9d7a102b1d | response
ββnameββ¬βtypeββββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β date β Nullable(Date) β β β β β β
ββββββββ΄βββββββββββββββββ΄βββββββββββββββ΄βββββββββββββββββββββ΄ββββββββββ΄βββββββββββββββββββ΄βββββ... | {"source_file": "schema-inference.md"} | [
-0.07392056286334991,
0.00312394043430686,
-0.11503008008003235,
0.06137213855981827,
-0.035323504358530045,
-0.036233898252248764,
-0.045249179005622864,
-0.010822895914316177,
-0.024174828082323074,
0.049919579178094864,
0.05893545597791672,
-0.1261749565601349,
0.03368687257170677,
0.04... |
9ff834cc-d57a-4114-bc38-e0edd1430ab8 | Example
sql
DESC format(TSVWithNamesAndTypes,
$$num str arr
UInt8 String Array(UInt8)
42 Hello, World! [1,2,3]
$$)
response
ββnameββ¬βtypeββββββββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β num β UInt8 β β β ... | {"source_file": "schema-inference.md"} | [
0.009006238542497158,
-0.045570455491542816,
-0.07196010649204254,
0.019452383741736412,
-0.04096086695790291,
-0.03773561120033264,
-0.0012109893141314387,
-0.023676680400967598,
-0.019318880513310432,
0.02911500819027424,
-0.002856177743524313,
-0.046198952943086624,
-0.008749516680836678,... |
941b94d6-9941-498e-86e5-b20d78e79d96 | Avro {#avro}
In Avro format ClickHouse reads its schema from the data and converts it to ClickHouse schema using the following type matches:
| Avro data type | ClickHouse data type |
|------------------------------------|-----------------... | {"source_file": "schema-inference.md"} | [
0.030538471415638924,
-0.034652676433324814,
-0.11278066039085388,
0.018335511907935143,
-0.030934179201722145,
-0.00007114066829672083,
0.022056875750422478,
-0.011963669210672379,
-0.08167099207639694,
0.050765231251716614,
0.020577700808644295,
-0.10824310034513474,
-0.016168951988220215,... |
c12bc71f-b73b-4ed8-99cb-369620bc5e2f | Other Parquet types are not supported.
Arrow {#arrow}
In Arrow format ClickHouse reads its schema from the data and converts it to ClickHouse schema using the following type matches:
| Arrow data type | ClickHouse data type |
|---------------------------------|--... | {"source_file": "schema-inference.md"} | [
-0.00472963647916913,
-0.05756299942731857,
-0.03143252059817314,
-0.06417271494865417,
-0.09090043604373932,
-0.029177231714129448,
0.004583689849823713,
-0.003614871995523572,
-0.04856764152646065,
-0.006631724536418915,
0.051863688975572586,
-0.09503941982984543,
-0.027137471362948418,
... |
143e54bb-a595-4197-ba8d-1081f99375e9 | Formats with external schema {#formats-with-external-schema}
Such formats require a schema describing the data in a separate file in a specific schema language.
To automatically infer a schema from files in such formats, ClickHouse reads external schema from a separate file and transforms it to a ClickHouse table sch... | {"source_file": "schema-inference.md"} | [
0.011034054681658745,
-0.047897446900606155,
-0.06920402497053146,
-0.03622639551758766,
0.009383639320731163,
-0.036705099046230316,
-0.011937040835618973,
0.03715359792113304,
-0.04396801069378853,
0.04309680312871933,
0.020489465445280075,
-0.1594153791666031,
-0.018651209771633148,
0.0... |
e6264ba1-20f4-4980-9570-74476af2d165 | MsgPack {#msgpack}
In MsgPack format there is no delimiter between rows, to use schema inference for this format you should specify the number of columns in the table
using the setting
input_format_msgpack_number_of_columns
. ClickHouse uses the following type matches:
| MessagePack data type (
INSERT
) ... | {"source_file": "schema-inference.md"} | [
0.059107474982738495,
-0.016587046906352043,
-0.05038159713149071,
-0.014406198635697365,
-0.05368240550160408,
-0.06408978253602982,
-0.011537458747625351,
-0.0025017838925123215,
-0.08349043130874634,
0.042001236230134964,
0.07017676532268524,
-0.08738776296377182,
0.08304163813591003,
-... |
cfee60ab-7629-45c0-8652-a166fe1dd389 | | BSON Type | ClickHouse type |
|-----------------------------------------------------------------------------------------------... | {"source_file": "schema-inference.md"} | [
0.0010622387053444982,
-0.022973982617259026,
-0.10073035955429077,
-0.005298927426338196,
-0.060799870640039444,
-0.03557923063635826,
0.06204167380928993,
-0.010578184388577938,
-0.07829971611499786,
-0.07760269939899445,
0.04050199314951897,
-0.03638915345072746,
0.010636803694069386,
-... |
404f98f1-af5b-4af9-ad5c-ec249d08f99a | Example
sql
DESC format(LineAsString, 'Hello\nworld!')
response
ββnameββ¬βtypeββββ¬βdefault_typeββ¬βdefault_expressionββ¬βcommentββ¬βcodec_expressionββ¬βttl_expressionββ
β line β String β β β β β β
ββββββββ΄βββββββββ΄βββββββββββββββ΄ββββββββββββββββββββ... | {"source_file": "schema-inference.md"} | [
0.004855332430452108,
-0.053821176290512085,
-0.041650332510471344,
0.0388047881424427,
-0.09118922799825668,
-0.0802517756819725,
0.009959609247744083,
-0.003833898575976491,
-0.0584062784910202,
0.0011171820806339383,
0.020230570808053017,
-0.03161323070526123,
-0.014706986024975777,
0.0... |
42cd9092-fc28-4cb2-ba0f-8a47472aacf0 | Let's try to use schema inference on these 3 files:
sql
:) DESCRIBE file('data{1,2,3}.jsonl') SETTINGS schema_inference_mode='default'
Result:
response
ββnameββββ¬βtypeββββββββββββββ
β field1 β Nullable(Int64) β
β field2 β Nullable(String) β
ββββββββββ΄βββββββββββββββββββ
As we can see, we don't have
field3
fro... | {"source_file": "schema-inference.md"} | [
-0.07978841662406921,
-0.03872978687286377,
-0.017852723598480225,
0.02011430636048317,
0.027571042999625206,
-0.0481700599193573,
-0.028895627707242966,
-0.006399270612746477,
-0.032695453613996506,
-0.0004419046454131603,
0.06022854894399643,
-0.01848711259663105,
0.004371292889118195,
0... |
f59d0106-8337-4ce6-8ff5-880ea51469a6 | description: 'Native clients and interfaces for ClickHouse'
keywords: ['clients', 'interfaces', 'CLI', 'SQL console', 'drivers']
slug: /interfaces/natives-clients-and-interfaces
title: 'Native Clients and Interfaces'
doc_type: 'landing-page'
Native clients & interfaces
ClickHouse provides a number of different na... | {"source_file": "native-clients-interfaces-index.md"} | [
0.020451294258236885,
-0.09207846224308014,
-0.050258226692676544,
-0.06055751070380211,
-0.05138043686747551,
-0.030983220785856247,
0.025139261037111282,
-0.01209076028317213,
-0.0769757479429245,
-0.03157997503876686,
-0.000874003570061177,
-0.007561327423900366,
0.027340685948729515,
0... |
06daa6e2-7980-4297-a85a-1d9bd9bb5475 | slug: /managing-data/deleting-data/overview
title: 'Deleting Data'
description: 'How to delete data in ClickHouse Table Of Contents'
keywords: ['delete', 'truncate', 'drop', 'lightweight delete']
doc_type: 'guide'
In this section of the documentation,
we will explore how to delete data in ClickHouse.
| Page ... | {"source_file": "index.md"} | [
0.01873289979994297,
0.034092653542757034,
0.027982203289866447,
0.06384643167257309,
0.045274797827005386,
-0.05440644547343254,
0.019625376909971237,
-0.09481807053089142,
0.027735810726881027,
0.0487484484910965,
0.0363340824842453,
0.0163352619856596,
0.07067718356847763,
-0.0569162741... |
a047d49f-8f1d-40cf-b76e-a0e9c215639c | slug: /updating-data
title: 'Updating Data'
description: 'Updating Data Table Of Contents'
keywords: ['update', 'updating data']
doc_type: 'landing-page'
In this section of the documentation, you will learn how you can update your data.
| Page | Description ... | {"source_file": "index.md"} | [
0.022098036482930183,
-0.011119566857814789,
0.07102348655462265,
0.020946407690644264,
-0.011310099624097347,
-0.0014224323676899076,
-0.0308675579726696,
-0.02846604399383068,
0.009389879181981087,
0.04656099155545235,
0.007038254756480455,
-0.043983954936265945,
0.04779735952615738,
-0.... |
7a9ab19b-5a1d-4fa0-bd5b-30cf9e4c339d | slug: /parts
title: 'Table parts'
description: 'What are data parts in ClickHouse'
keywords: ['part']
doc_type: 'reference'
import merges from '@site/static/images/managing-data/core-concepts/merges.png';
import part from '@site/static/images/managing-data/core-concepts/part.png';
import Image from '@theme/IdealIma... | {"source_file": "parts.md"} | [
0.05135375261306763,
-0.005945042707026005,
0.05388578772544861,
0.0514187328517437,
-0.014186402782797813,
-0.07904085516929626,
0.03804445639252663,
0.011393323540687561,
-0.04572494700551033,
0.00713544012978673,
0.054923851042985916,
-0.021656230092048645,
0.07868386059999466,
-0.02975... |
41cbd26e-26c8-4f26-86fe-73e181802bcc | To minimize the number of initial ^^parts^^ and the overhead of merges, database clients are
encouraged
to either insert tuples in bulk, e.g. 20,000 rows at once, or to use the
asynchronous insert mode
, in which ClickHouse buffers rows from multiple incoming INSERTs into the same table and creates a new part only a... | {"source_file": "parts.md"} | [
0.01589370332658291,
-0.11490462720394135,
-0.04297635704278946,
0.06282900273799896,
0.004687800537794828,
-0.10688626766204834,
0.03530893847346306,
-0.02122158743441105,
-0.02135266177356243,
0.02140769548714161,
0.09489661455154419,
-0.014778639189898968,
0.04208451882004738,
-0.087004... |
e2b1516e-622b-4cab-8142-9a05f703abd1 | slug: /managing-data/core-concepts
title: 'Core Concepts'
description: 'Learn Core Concepts of how ClickHouse works'
keywords: ['concepts', 'part', 'partition', 'primary index']
doc_type: 'guide'
In this section of the documentation,
you will learn some of the core concepts of how ClickHouse works.
| Page ... | {"source_file": "index.md"} | [
0.02756577916443348,
-0.016585497185587883,
-0.023940788581967354,
0.031557075679302216,
-0.006633393000811338,
-0.0106571726500988,
0.005482437554746866,
-0.005924961529672146,
-0.04580229893326759,
0.008970679715275764,
0.030129794031381607,
0.0082489512860775,
0.04629035294055939,
-0.05... |
df6d8957-552d-415d-82c4-9a23531960d9 | slug: /architecture/replication
sidebar_label: 'Replication'
sidebar_position: 10
title: 'Replicating data'
description: 'Page describing an example architecture with five servers configured. Two are used to host copies of the data and the rest are used to coordinate the replication of data'
doc_type: 'guide'
keywords:... | {"source_file": "01_1_shard_2_replicas.md"} | [
0.005313082132488489,
-0.024941058829426765,
-0.052749041467905045,
-0.018015244975686073,
-0.0062433634884655476,
-0.040206052362918854,
-0.08905455470085144,
-0.007907324470579624,
-0.031111324205994606,
0.06275654584169388,
0.07263603806495667,
0.022522836923599243,
0.1615809053182602,
... |
18874697-31a6-474d-9306-1c056919967f | Run the following commands to set up the directory structure for this example:
```bash
mkdir cluster_1S_2R
cd cluster_1S_2R
Create clickhouse-keeper directories
for i in {01..03}; do
mkdir -p fs/volumes/clickhouse-keeper-${i}/etc/clickhouse-keeper
done
Create clickhouse-server directories
for i in {01..02};... | {"source_file": "01_1_shard_2_replicas.md"} | [
0.045695409178733826,
-0.0806901603937149,
-0.013849202543497086,
-0.023341674357652664,
-0.02077459916472435,
-0.04831603541970253,
-0.0003000720462296158,
0.0016967732226476073,
0.01051289401948452,
0.011005057953298092,
0.021665915846824646,
-0.07023193687200546,
0.030492961406707764,
0... |
35c96677-8017-4bd7-acc2-a90480e95e30 | Create the following sub-directories and files:
bash
for i in {01..02}; do
mkdir -p fs/volumes/clickhouse-${i}/etc/clickhouse-server/config.d
mkdir -p fs/volumes/clickhouse-${i}/etc/clickhouse-server/users.d
touch fs/volumes/clickhouse-${i}/etc/clickhouse-server/config.d/config.xml
touch fs/volumes/clickhouse... | {"source_file": "01_1_shard_2_replicas.md"} | [
0.037050750106573105,
-0.06561332941055298,
0.0013339982833713293,
-0.029198141768574715,
-0.02641979418694973,
-0.05981382355093956,
0.061453450471162796,
-0.010192080400884151,
-0.03641747683286667,
0.0034701910335570574,
0.04828159883618355,
-0.013642208650708199,
0.047137174755334854,
... |
d16dd31e-1dc8-4e5e-9173-509fc63a157c | | Directory | File |
|-----------------------------------------------------------|-----------------... | {"source_file": "01_1_shard_2_replicas.md"} | [
-0.048409972339868546,
0.05409681424498558,
-0.09214160591363907,
-0.02916708216071129,
-0.02550552226603031,
-0.020091354846954346,
0.038994669914245605,
0.08374205231666565,
0.015796713531017303,
-0.004618654493242502,
0.11647093296051025,
0.04473418369889259,
-0.010443735867738724,
-0.0... |
0c18e3a8-5dd8-47a7-ac0f-85092f4f7d14 | Set up of ClickHouse Keeper is explained in the next step of the tutorial.
xml
<zookeeper>
<node>
<host>clickhouse-keeper-01</host>
<port>9181</port>
</node>
<node>
<host>clickhouse-keeper-02</host>
<port>9181</port>
</node>
<node>
<host>clickhouse-keeper-03... | {"source_file": "01_1_shard_2_replicas.md"} | [
-0.0011675296118482947,
-0.048801131546497345,
-0.05688951164484024,
-0.006139232777059078,
-0.0233139730989933,
-0.07815349102020264,
0.001547943684272468,
-0.05500998720526695,
-0.03610283508896828,
0.05466328561306,
0.022124459967017174,
-0.05705857276916504,
0.10539157688617706,
-0.034... |
5efee2f1-6f5b-4310-80aa-e52a0f9426f1 | Configure ClickHouse Keeper {#configure-clickhouse-keeper-nodes}
Keeper setup {#configuration-explanation}
| Directory | File ... | {"source_file": "01_1_shard_2_replicas.md"} | [
0.013806043192744255,
-0.0034335097298026085,
-0.07721167802810669,
-0.025163227692246437,
0.02663521096110344,
-0.07519824802875519,
0.01741454377770424,
-0.033306483179330826,
-0.02359217032790184,
0.018202602863311768,
0.07166115939617157,
-0.01752799190580845,
0.014089713804423809,
-0.... |
83eaf2d1-ed16-4c40-9e23-208eec71291b | With this, you have successfully set up a ClickHouse cluster with a single shard and two replicas.
In the next step, you will create a table in the cluster.
Create a database {#creating-a-database}
Now that you have verified the cluster is correctly setup and is running, you
will be recreating the same table as the... | {"source_file": "01_1_shard_2_replicas.md"} | [
0.10623123496770859,
-0.12267297506332397,
-0.031759489327669144,
0.02422121725976467,
-0.06947802752256393,
-0.05841623619198799,
-0.02950541488826275,
-0.07841972261667252,
-0.066134974360466,
0.02170439437031746,
-0.01440897025167942,
-0.11910367757081985,
0.10976772010326385,
-0.018378... |
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