id stringlengths 36 36 | document stringlengths 3 3k | metadata stringlengths 23 69 | embeddings listlengths 384 384 |
|---|---|---|---|
17715edb-9a52-4379-9d68-10f32deb77bd | description: 'System table containing information about metadata files read from Iceberg tables. Each entry
represents either a root metadata file, metadata extracted from an Avro file, or an entry of some Avro file.'
keywords: ['system table', 'iceberg_metadata_log']
slug: /operations/system-tables/iceberg_metadata_... | {"source_file": "iceberg_metadata_log.md"} | [
0.0011563424486666918,
-0.042706720530986786,
-0.10138051211833954,
-0.011605422012507915,
0.09458322823047638,
-0.08592931181192398,
0.05041633918881416,
0.07482784241437912,
-0.0065919640474021435,
0.048735808581113815,
-0.012506159953773022,
0.030201489105820656,
0.013475680723786354,
-... |
e15ede56-4352-42a8-921d-ebd57b536ef5 | Controlling log verbosity {#controlling-log-verbosity}
You can control which metadata events are logged using the
iceberg_metadata_log_level
setting.
To log all metadata used in the current query:
```sql
SELECT * FROM my_iceberg_table SETTINGS iceberg_metadata_log_level = 'manifest_file_entry';
SYSTEM FLUSH L... | {"source_file": "iceberg_metadata_log.md"} | [
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0.008369078859686852,
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0.059535298496484756,
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0.07529228180646896,
0.06445024907588959,
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0.05305853113532066,
-0.021854998543858528,
0.03111111745238304,
0.031512875109910965,
-0.01... |
9e1f2dfc-c078-457d-bf67-517d4be9bdd1 | description: 'System table containing information for workloads residing on the local
server.'
keywords: ['system table', 'workloads']
slug: /operations/system-tables/workloads
title: 'system.workloads'
doc_type: 'reference'
system.workloads
Contains information for
workloads
residing on the local server. The... | {"source_file": "workloads.md"} | [
0.005859010387212038,
0.03614802286028862,
-0.06819960474967957,
0.06516315042972565,
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0.04422461986541748,
0.02881568670272827,
-0.007783121895045042,
0.061644021421670914,
0.031208796426653862,
-0.016766877844929695,
0.046449143439531326,
-0.07... |
3de8dc4f-a69d-4e24-9d90-d5a551792cfd | description: 'System table which contains stack traces of all server threads. Allows
developers to introspect the server state.'
keywords: ['system table', 'stack_trace']
slug: /operations/system-tables/stack_trace
title: 'system.stack_trace'
doc_type: 'reference'
import SystemTableCloud from '@site/docs/_snippet... | {"source_file": "stack_trace.md"} | [
0.0038083402905613184,
-0.08177150785923004,
-0.07152826339006424,
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0.019480280578136444,
-0.023423561826348305,
0.011254549957811832,
0.06834185123443604,
-0.017213668674230576,
0.023969359695911407,
0.013238721527159214,
... |
3c795628-0238-4780-8d81-b0be0bbfa68e | text
Row 1:
──────
thread_name: QueryPipelineEx
thread_id: 743490
query_id: dc55a564-febb-4e37-95bb-090ef182c6f1
res: memcpy
large_ralloc
arena_ralloc
do_rallocx
Allocator<true, true>::realloc(void*, unsigned long, unsigned long, unsigned long)
HashTable<unsigned long, HashMapCell<unsigned long, char*, Has... | {"source_file": "stack_trace.md"} | [
-0.010576908476650715,
0.018400471657514572,
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-0.06053157150745392,
0.042895976454019547,
0.030485045164823532,
-0.030287524685263634,
0.014594245702028275,
0.02189357951283455,
-0.033595722168684006,
0.052228353917598724,
-0... |
ff42fefc-4df4-4062-87fc-828584d252f5 | ThreadPoolImpl<ThreadFromGlobalPoolImpl<false>>::worker(std::__1::__list_iterator<ThreadFromGlobalPoolImpl<false>, void*>)
void std::__1::__function::__policy_invoker<void ()>::__call_impl<std::__1::__function::__default_alloc_func<ThreadFromGlobalPoolImpl<false>::ThreadFromGlobalPoolImpl<void ThreadPoolImpl<ThreadFrom... | {"source_file": "stack_trace.md"} | [
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-0.018521856516599655,
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-0.05610259994864464,
0.03167629987001419,
-0.028414038941264153,
0.023833177983760834,
0.02446589432656765,
0.02421422488987446,
-0.02638341300189495,
-0.08242706954479218,
-0.0... |
fec5e82d-9598-4160-a362-c7b409705c01 | Getting filenames and line numbers in ClickHouse source code:
sql
WITH arrayMap(x -> addressToLine(x), trace) AS all, arrayFilter(x -> x LIKE '%/dbms/%', all) AS dbms SELECT thread_name, thread_id, query_id, arrayStringConcat(notEmpty(dbms) ? dbms : all, '\n') AS res FROM system.stack_trace LIMIT 1 \G;
```text
Row ... | {"source_file": "stack_trace.md"} | [
-0.015863481909036636,
-0.021273411810398102,
-0.08699947595596313,
0.027341611683368683,
-0.06700703501701355,
-0.06542780250310898,
0.12139031291007996,
-0.01166278962045908,
-0.021585730835795403,
0.017052100971341133,
0.02996763400733471,
-0.028330394998192787,
0.032001469284296036,
-0... |
cd355945-aa85-4ca2-8f10-9c1f85cee4dd | description: 'System table containing information about clusters available in the
config file and the servers defined in them.'
keywords: ['system table', 'clusters']
slug: /operations/system-tables/clusters
title: 'system.clusters'
doc_type: 'reference'
Contains information about clusters available in the config... | {"source_file": "clusters.md"} | [
0.005583568941801786,
-0.09863551706075668,
-0.09168699383735657,
0.03964332491159439,
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-0.09821777790784836,
-0.028011472895741463,
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0.008722478523850441,
0.01659551076591015,
-0.0295756496489048,
0.0819907858967781,
-0.08... |
a1bd74a7-c514-45fc-9c17-5d0c8c4a5f46 | Example
Query:
sql
SELECT * FROM system.clusters LIMIT 2 FORMAT Vertical;
Result:
```text
Row 1:
──────
cluster: test_cluster_two_shards
shard_num: 1
shard_name: shard_01
shard_weight: 1
replica_num: 1
host_name: 127.0.0.1
host_addr... | {"source_file": "clusters.md"} | [
0.12567807734012604,
-0.02772490866482258,
-0.06778371334075928,
0.07473411411046982,
0.002068019937723875,
-0.04374484717845917,
-0.032469820231199265,
-0.023195521906018257,
0.015660589560866356,
0.0010512028820812702,
0.04976559057831764,
-0.05086300149559975,
0.07474172860383987,
-0.07... |
9b9eb3e6-b5c6-4374-b172-68f683a0a4ff | description: 'System table containing information about the number of events that
have occurred in the system.'
keywords: ['system table', 'events']
slug: /operations/system-tables/events
title: 'system.events'
doc_type: 'reference'
import SystemTableCloud from '@site/docs/_snippets/_system_table_cloud.md';
C... | {"source_file": "events.md"} | [
0.07901830226182938,
-0.04528259113430977,
-0.05723198875784874,
-0.013904646039009094,
0.02176511660218239,
-0.012751446105539799,
0.06463676691055298,
0.0014378527412191033,
0.01235173549503088,
0.07717922329902649,
-0.0016985840629786253,
-0.04377551004290581,
0.10108323395252228,
-0.09... |
c3783a7f-ee0c-473f-bb18-49bc967253f8 | description
(
String
) — Event description.
You can find all supported events in source file
src/Common/ProfileEvents.cpp
.
Example
sql
SELECT * FROM system.events LIMIT 5
text
┌─event─────────────────────────────────┬─value─┬─description────────────────────────────────────────────────────────────────────... | {"source_file": "events.md"} | [
-0.0372549407184124,
-0.03059060499072075,
-0.09994729608297348,
0.08051590621471405,
-0.00958158541470766,
-0.059050481766462326,
0.07502556592226028,
0.07286333292722702,
0.007287491578608751,
0.014794121496379375,
-0.04218636825680733,
-0.014500461518764496,
0.04727685824036598,
-0.0552... |
332c900e-fefe-4230-9468-54d8d5e90b7a | description: 'System table containing information about mutations of MergeTree tables
and their progress. Each mutation command is represented by a single row.'
keywords: ['system table', 'mutations']
slug: /operations/system-tables/mutations
title: 'system.mutations'
doc_type: 'reference'
system.mutations
The ... | {"source_file": "mutations.md"} | [
-0.06424466520547867,
-0.005144523456692696,
-0.08613745123147964,
-0.006001683883368969,
0.01176292821764946,
-0.15466555953025818,
0.022506389766931534,
0.05888231098651886,
-0.020082509145140648,
0.029148828238248825,
0.06322894245386124,
0.009945500642061234,
0.11490532010793686,
-0.10... |
6fd2d992-2593-4bfa-9b5c-1c3d1b1bd486 | If there were problems with mutating some data parts, the following columns contain additional information:
latest_failed_part
(
String
) — The name of the most recent part that could not be mutated.
latest_fail_time
(
DateTime
) — The date and time of the most recent part mutation failure.
latest_fail_reason... | {"source_file": "mutations.md"} | [
0.03519897907972336,
-0.013442233204841614,
-0.037463366985321045,
-0.009836464188992977,
0.10798300057649612,
-0.12555895745754242,
0.026328621432185173,
0.028290532529354095,
-0.04624870419502258,
0.029912399128079414,
0.08594655990600586,
-0.058192115277051926,
0.06763333827257156,
-0.0... |
7b2933af-ca67-4c40-bcac-53feb2918310 | description: 'System table containing information about setting changes in previous
ClickHouse versions.'
keywords: ['system table', 'settings_changes']
slug: /operations/system-tables/settings_changes
title: 'system.settings_changes'
doc_type: 'reference'
system.settings_changes
Contains information about sett... | {"source_file": "settings_changes.md"} | [
0.04648808017373085,
-0.015099155716598034,
-0.03073827363550663,
-0.024206651374697685,
-0.03678038343787193,
-0.046601612120866776,
0.007502972614020109,
0.00002176374982809648,
-0.07673166692256927,
0.06456902623176575,
0.07281466573476791,
0.013819152489304543,
0.023158883675932884,
-0... |
4223afcb-11c3-458a-8b94-2adfdefe5388 | description: 'System table containing information about parts and columns of MergeTree
tables.'
keywords: ['system table', 'parts_columns']
slug: /operations/system-tables/parts_columns
title: 'system.parts_columns'
doc_type: 'reference'
system.parts_columns
Contains information about parts and columns of
Merg... | {"source_file": "parts_columns.md"} | [
0.019621592015028,
-0.02284170314669609,
-0.05450213700532913,
0.042718030512332916,
0.029523545876145363,
-0.09063582867383957,
0.035674743354320526,
0.1123661920428276,
-0.03411904349923134,
-0.006485622841864824,
0.03314453735947609,
0.035563353449106216,
0.0042983549647033215,
-0.07178... |
f6b1ad23-1f03-48ef-9a39-2c5d16b30c9d | level
(
UInt32
) — Depth of the merge tree. Zero means that the current part was created by insert rather than by merging other parts.
data_version
(
UInt64
) — Number that is used to determine which mutations should be applied to the data part (mutations with a version higher than
data_version
).
primar... | {"source_file": "parts_columns.md"} | [
0.010860259644687176,
-0.041594941169023514,
-0.10827227681875229,
0.012653118930757046,
-0.018632708117365837,
-0.1173071563243866,
-0.011139686219394207,
0.12360647320747375,
-0.01900739036500454,
-0.01308147981762886,
0.0774213895201683,
0.01763358898460865,
0.05728723481297493,
-0.1128... |
a10e0103-db78-4d21-ae77-992457c369f7 | bytes
(
UInt64
) — Alias for
bytes_on_disk
.
marks_size
(
UInt64
) — Alias for
marks_bytes
.
Example
sql
SELECT * FROM system.parts_columns LIMIT 1 FORMAT Vertical;
text
Row 1:
──────
partition: tuple()
name: all_1_2_1
part_type: ... | {"source_file": "parts_columns.md"} | [
0.0028954220470041037,
-0.002672006608918309,
-0.028265969827771187,
0.010068165138363838,
-0.0012772917980328202,
-0.08805570751428604,
0.022196805104613304,
0.07706798613071442,
0.02709922194480896,
-0.0021467977203428745,
0.029790449887514114,
-0.013309999369084835,
0.029526762664318085,
... |
528c3745-f0bd-4f1d-b133-dace7cfa1ade | description: 'System table which exists only if ZooKeeper is configured. Shows current
connections to ZooKeeper (including auxiliary ZooKeepers).'
keywords: ['system table', 'zookeeper_connection']
slug: /operations/system-tables/zookeeper_connection
title: 'system.zookeeper_connection'
doc_type: 'reference'
impo... | {"source_file": "zookeeper_connection.md"} | [
0.03808595612645149,
-0.0317547433078289,
-0.06641107052564621,
-0.020502181723713875,
0.06383810192346573,
-0.0611041784286499,
0.030476192012429237,
-0.054356373846530914,
-0.0019582423847168684,
0.06855855137109756,
-0.006629803217947483,
-0.04924100637435913,
0.10029882192611694,
-0.03... |
0c08a5a5-b4e7-4ea5-a517-cfe21e3177c4 | description: 'Contains queries used by
/dashboard
page accessible though the HTTP
interface. useful for monitoring and troubleshooting.'
keywords: ['system table', 'dashboards', 'monitoring', 'troubleshooting']
slug: /operations/system-tables/dashboards
title: 'system.dashboards'
doc_type: 'reference'
Contains ... | {"source_file": "dashboards.md"} | [
-0.038844961673021317,
0.0025326968170702457,
-0.09890546649694443,
0.0325624942779541,
0.0022143819369375706,
-0.04308370128273964,
0.04698130860924721,
0.06575924903154373,
0.022537607699632645,
0.04222007095813751,
-0.02863527648150921,
-0.06001553311944008,
0.11329628527164459,
-0.0400... |
60706717-d70a-4438-96d7-bef0b80ace55 | description: 'Shows the history of ZooKeeper connections (including auxiliary ZooKeepers).'
keywords: ['system table', 'zookeeper_connection_log']
slug: /operations/system-tables/zookeeper_connection_log
title: 'system.zookeeper_connection_log'
doc_type: 'reference'
import SystemTableCloud from '@site/docs/_snippet... | {"source_file": "zookeeper_connection_log.md"} | [
0.04437028989195824,
-0.0019478746689856052,
-0.02435608208179474,
0.0024712979793548584,
0.06260586529970169,
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0.03107648529112339,
0.000040807793993735686,
0.024666937068104744,
0.10372338443994522,
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-0.03343033418059349,
0.04647614434361458,
-0.... |
fff48ee6-c861-4bdd-8f5e-1a167fe49480 | text
┌─hostname─┬─type─────────┬─event_date─┬──────────event_time─┬────event_time_microseconds─┬─name───────────────┬─host─┬─port─┬─index─┬─client_id─┬─keeper_api_version─┬─enabled_feature_flags───────────────────────────────────────────────────────────────────────┬─availability_zone─┬─reason──────────────┐
1. │ n... | {"source_file": "zookeeper_connection_log.md"} | [
-0.0297568179666996,
0.033285584300756454,
-0.00031784220482222736,
0.022655542939901352,
0.04491318017244339,
-0.10213062912225723,
0.07147186994552612,
-0.04370812699198723,
0.007239553611725569,
0.032595403492450714,
0.05094543844461441,
-0.04019637778401375,
0.03528958931565285,
0.0364... |
d4700532-d9dc-4490-8a9e-1259d1aa35f6 | 9. │ node │ Connected │ 2025-05-12 │ 2025-05-12 19:49:29 │ 2025-05-12 19:49:29.912014 │ zk_conn_log_test_2 │ zoo3 │ 2181 │ 0 │ 9 │ 0 │ ['FILTERED_LIST','MULTI_READ','CHECK_NOT_EXISTS','CREATE_IF_NOT_EXISTS','REMOVE_RECURSIVE'] │ │ Config changed │
10. │ node ... | {"source_file": "zookeeper_connection_log.md"} | [
-0.013025964610278606,
-0.01326835062354803,
-0.008532145991921425,
0.008860059082508087,
0.07956484705209732,
-0.10704617947340012,
0.07846567779779434,
-0.05365100875496864,
0.0025493011344224215,
0.0717233270406723,
0.057002875953912735,
-0.012790975160896778,
0.03542611375451088,
0.005... |
372fc8b2-018a-4525-8bf1-9f1f63e2ced2 | description: 'System table containing information about ClickHouse server''s build options.'
slug: /operations/system-tables/build_options
title: 'system.build_options'
keywords: ['system table', 'build_options']
doc_type: 'reference'
Contains information about the ClickHouse server's build options.
Columns:
... | {"source_file": "build_options.md"} | [
0.021682430058717728,
0.0016417651204392314,
-0.10416373610496521,
0.03158332034945488,
-0.001743472763337195,
-0.0859285369515419,
0.06916189193725586,
0.016934920102357864,
-0.09873335063457489,
0.03809143230319023,
0.06733624637126923,
-0.059090446680784225,
0.04534001275897026,
-0.0934... |
0f3a194c-59c1-4726-a8d4-b8c8a4d11179 | description: 'System table containing metrics that are calculated periodically in
the background. For example, the amount of RAM in use.'
keywords: ['system table', 'asynchronous_metrics']
slug: /operations/system-tables/asynchronous_metrics
title: 'system.asynchronous_metrics'
doc_type: 'reference'
import System... | {"source_file": "asynchronous_metrics.md"} | [
0.03815797343850136,
-0.020981844514608383,
-0.15646407008171082,
0.05155688524246216,
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-0.07614695280790329,
0.023762106895446777,
0.0439639613032341,
0.05539446324110031,
0.05780353024601936,
-0.013696182519197464,
-0.006552870385348797,
0.07746678590774536,
-0.1003... |
c6005bf0-7893-4196-9aad-9064707529b7 | text
┌─metric──────────────────────────────────┬──────value─┬─description────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ Asy... | {"source_file": "asynchronous_metrics.md"} | [
-0.023229876533150673,
-0.034632690250873566,
0.052221719175577164,
0.042004723101854324,
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-0.12539607286453247,
0.043055400252342224,
0.010843217372894287,
0.023269496858119965,
0.04398282617330551,
0.03687385469675064,
-0.01354557741433382,
0.002517851535230875,
-0.0... |
5f29b707-9006-4703-8d24-4fec4e59b227 | │ ReplicasSumMergesInQueue │ 0 │ Sum of merge operations in the queue (still to be applied) across Replicated tables. │
│ Replicas... | {"source_file": "asynchronous_metrics.md"} | [
-0.036718741059303284,
-0.0467633493244648,
-0.01815049536526203,
0.049694400280714035,
-0.06461290270090103,
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0.05767081677913666,
-0.11823568493127823,
0.07329326868057251,
0.07361937314271927,
0.0777982547879219,
-0.05029861629009247,
0.08853153884410858,
-0.0277697... |
55f8908d-c0ed-4ce4-8085-85d0c7f10622 | Metric descriptions {#metric-descriptions}
AsynchronousHeavyMetricsCalculationTimeSpent {#asynchronousheavymetricscalculationtimespent}
Time in seconds spent for calculation of asynchronous heavy (tables related) metrics (this is the overhead of asynchronous metrics).
AsynchronousHeavyMetricsUpdateInterval {#asyn... | {"source_file": "asynchronous_metrics.md"} | [
-0.07134264707565308,
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0.018131520599126816,
0.017585482448339462,
0.08760704100131989,
0.012356598861515522,
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0.01774587295949459,
-0.02... |
fd1b9a60-8add-4031-8762-7378c9d98368 | BlockInFlightOps_
name
{#blockinflightops_name}
This value counts the number of I/O requests that have been issued to the device driver but have not yet completed. It does not include IO requests that are in the queue but not yet issued to the device driver. This is a system-wide metric, it includes all the processe... | {"source_file": "asynchronous_metrics.md"} | [
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-0.03746957704424858,
-0... |
a3c9c00a-e952-4088-950a-842993bc53ed | BlockWriteMerges_
name
{#blockwritemerges_name}
Number of write operations requested from the block device and merged together by the OS IO scheduler. This is a system-wide metric, it includes all the processes on the host machine, not just clickhouse-server. Source:
/sys/block
. See https://www.kernel.org/doc/Docu... | {"source_file": "asynchronous_metrics.md"} | [
-0.04272354766726494,
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0.07257957756519318,
0.0067415074445307255,
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0.032236844301223755,
-0.0168478861451149,
-0.... |
9b99e910-e8bd-4ddc-b56e-ff51a65799d5 | The size of the volume where ClickHouse logs path is mounted, in bytes. It's recommended to have at least 10 GB for logs.
FilesystemLogsPathTotalINodes {#filesystemlogspathtotalinodes}
The total number of inodes on the volume where ClickHouse logs path is mounted.
FilesystemLogsPathUsedBytes {#filesystemlogspathu... | {"source_file": "asynchronous_metrics.md"} | [
0.042269572615623474,
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0.03924427181482315,
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0.014245991595089436,
-0.0035319228190928698,
0.03... |
be523998-3cd3-4de2-b921-57134546ced1 | MemoryCode {#memorycode}
The amount of virtual memory mapped for the pages of machine code of the server process, in bytes.
MemoryDataAndStack {#memorydataandstack}
The amount of virtual memory mapped for the use of stack and for the allocated memory, in bytes. It is unspecified whether it includes the per-thread... | {"source_file": "asynchronous_metrics.md"} | [
0.02633754536509514,
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0.03431524708867073,
-0.... |
10a7e0c0-8223-4446-a2fd-c2d6b7b91359 | NetworkSendErrors_
name
{#networksenderrors_name}
Number of times error (e.g. TCP retransmit) happened while sending via the network interface. This is a system-wide metric, it includes all the processes on the host machine, not just clickhouse-server.
NetworkSendPackets_
name
{#networksendpackets_name}
Number ... | {"source_file": "asynchronous_metrics.md"} | [
0.0029005208052694798,
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0.09408947080373764,
0.04519972950220108,
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0.08884155750274658,
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0.08790317922830582,
-... |
a30e1aa0-6c81-4e62-a4c7-a76a69f6b0b9 | OSGuestNiceTimeNormalized {#osguestnicetimenormalized}
The value is similar to
OSGuestNiceTime
but divided to the number of CPU cores to be measured in the [0..1] interval regardless of the number of cores. This allows you to average the values of this metric across multiple servers in a cluster even if the number ... | {"source_file": "asynchronous_metrics.md"} | [
0.0147590646520257,
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0.024638643488287926,
0.016141202300786972,
-0.05999978631734848,
0.03137810155749321,
-0.04724939... |
94f84a8a-311e-46ab-af68-d8ca439185cd | OSIOWaitTimeNormalized {#osiowaittimenormalized}
The value is similar to
OSIOWaitTime
but divided to the number of CPU cores to be measured in the [0..1] interval regardless of the number of cores. This allows you to average the values of this metric across multiple servers in a cluster even if the number of cores ... | {"source_file": "asynchronous_metrics.md"} | [
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0.022941768169403076,
0.0076889884658157825,
0.023795275017619133,
-0.05607748031616211,
-0.012186406180262566,
-0.05618860945105553,
0.007389686536043882,
-0.... |
58a91a2e-23cd-47e6-9eee-80be1ea47256 | OSIrqTimeCPU_
N
{#osirqtimecpu_n}
The ratio of time spent for running hardware interrupt requests on the CPU. This is a system-wide metric, it includes all the processes on the host machine, not just clickhouse-server. A high number of this metric may indicate hardware misconfiguration or a very high network load. T... | {"source_file": "asynchronous_metrics.md"} | [
-0.008905635215342045,
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0.07072847336530685,
0.030817724764347076,
-0.10851946473121643,
0.018554743379354477,
0.02926638163626194,
0.0622551329433918,
-0.03536456078290939,
-0.03809555992484093,
-0.027438241988420486,
0.024216879159212112,
-0.019... |
3e3a606f-061b-4ccc-966b-99cf5839c2b7 | OSMemoryTotal {#osmemorytotal}
The total amount of memory on the host system, in bytes.
OSNiceTime {#osnicetime}
The ratio of time the CPU core was running userspace code with higher priority. This is a system-wide metric, it includes all the processes on the host machine, not just clickhouse-server. The value fo... | {"source_file": "asynchronous_metrics.md"} | [
0.009822526015341282,
0.014633002690970898,
-0.02253052219748497,
0.019095197319984436,
0.040518682450056076,
-0.12020675837993622,
0.04513921961188316,
0.044655367732048035,
0.0035533576738089323,
0.024920832365751266,
0.013593332841992378,
-0.02314694970846176,
0.04374687001109123,
-0.02... |
a38559a7-9fe8-4fa0-b25f-b8e71d0075f1 | OSSoftIrqTimeNormalized {#ossoftirqtimenormalized}
The value is similar to
OSSoftIrqTime
but divided to the number of CPU cores to be measured in the [0..1] interval regardless of the number of cores. This allows you to average the values of this metric across multiple servers in a cluster even if the number of cor... | {"source_file": "asynchronous_metrics.md"} | [
0.010281559079885483,
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0.047950007021427155,
0.03698192536830902,
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0.005173735320568085,
0.013766183517873287,
0.0632719025015831,
-0.04546405002474785,
-0.037794068455696106,
-0.05141648277640343,
0.011308939196169376,
-0.012... |
4dc974d5-c01e-4460-8371-5db4a65343f1 | OSThreadsRunnable {#osthreadsrunnable}
The total number of 'runnable' threads, as the OS kernel scheduler seeing it.
OSThreadsTotal {#osthreadstotal}
The total number of threads, as the OS kernel scheduler seeing it.
OSUptime {#osuptime}
The uptime of the host server (the machine where ClickHouse is running),... | {"source_file": "asynchronous_metrics.md"} | [
-0.028925521299242973,
-0.013161467388272285,
-0.007041240576654673,
0.02217058092355728,
0.06087840721011162,
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-0.0033089241478592157,
-... |
40760de7-d21c-449f-9103-f8e8de4b1c34 | Sum of INSERT operations in the queue (still to be replicated) across Replicated tables.
ReplicasSumMergesInQueue {#replicassummergesinqueue}
Sum of merge operations in the queue (still to be applied) across Replicated tables.
ReplicasSumQueueSize {#replicassumqueuesize}
Sum queue size (in the number of operati... | {"source_file": "asynchronous_metrics.md"} | [
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0.1441647708415985,
-0.07283739... |
ca03363c-3dd0-4fa5-9f3c-e16ec405cc7b | An internal metric of the low-level memory allocator (jemalloc). See https://jemalloc.net/jemalloc.3.html
jemalloc.arenas.all.pmuzzy {#jemallocarenasallpmuzzy}
An internal metric of the low-level memory allocator (jemalloc). See https://jemalloc.net/jemalloc.3.html
jemalloc.background_thread.num_runs {#jemallocba... | {"source_file": "asynchronous_metrics.md"} | [
0.031402308493852615,
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-... |
337b5527-b984-455d-a9fb-8a7d9b063e0b | description: 'System table containing information about Kafka consumers.'
keywords: ['system table', 'kafka_consumers']
slug: /operations/system-tables/kafka_consumers
title: 'system.kafka_consumers'
doc_type: 'reference'
import SystemTableCloud from '@site/docs/_snippets/_system_table_cloud.md';
Contains infor... | {"source_file": "kafka_consumers.md"} | [
0.018040278926491737,
-0.053347148001194,
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0.02722330018877983,
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0.05412757769227028,
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0.042380936443805695,
0.003459006315097213,
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0.072187140583992,
-0.12644203... |
dcd24f38-298e-43d2-9848-1a40a5c24cf2 | description: 'System table which contains properties of configured setting profiles.'
keywords: ['system table', 'settings_profiles']
slug: /operations/system-tables/settings_profiles
title: 'system.settings_profiles'
doc_type: 'reference'
system.settings_profiles
Contains properties of configured setting profile... | {"source_file": "settings_profiles.md"} | [
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0.11142724007368088,
-0.0644185... |
ea337809-36ba-47f1-b6e5-5c7ef43e2df0 | description: 'System table containing information about codecs
in queue.'
keywords: ['system table', 'codecs', 'compression']
slug: /operations/system-tables/codecs
title: 'system.codecs'
doc_type: 'reference'
Contains information about compression and encryption codecs.
You can use this table to get informatio... | {"source_file": "codecs.md"} | [
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0.02024168334901333,
-0.047809217... |
a38b7cc5-cdeb-4feb-a827-42b862ca79b5 | description: 'System table which exists only if ClickHouse Keeper or ZooKeeper are
configured. It exposes data from the Keeper cluster defined in the config.'
keywords: ['system table', 'zookeeper']
slug: /operations/system-tables/zookeeper
title: 'system.zookeeper'
doc_type: 'reference'
system.zookeeper
The ta... | {"source_file": "zookeeper.md"} | [
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-0.028321... |
d0dd98c9-5f42-4cc9-a591-855905c15919 | Row 2:
──────
name: example01-08-2
value:
czxid: 933002738135
mzxid: 933002738135
ctime: 2015-03-27 16:57:01
mtime: 2015-03-27 16:57:01
version: 0
cversion: 37
aversion: 0
ephemeralOwner: 0
dataLength: 0
numChildren: 7
pzxid: 987021252247
... | {"source_file": "zookeeper.md"} | [
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431882a8-99df-4650-8391-079b2e1e2380 | description: 'System table containing information about tasks from replication queues
stored in ClickHouse Keeper, or ZooKeeper, for tables in the
ReplicatedMergeTree
family.'
keywords: ['system table', 'replication_queue']
slug: /operations/system-tables/replication_queue
title: 'system.replication_queue'
doc_ty... | {"source_file": "replication_queue.md"} | [
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-0.... |
12e529af-f74d-458b-b90c-d911d8c6287a | last_postpone_time
(
DateTime
) — Date and time when the task was last postponed.
merge_type
(
String
) — Type of the current merge. Empty if it's a mutation.
Example
sql
SELECT * FROM system.replication_queue LIMIT 1 FORMAT Vertical;
text
Row 1:
──────
database: merge
table: ... | {"source_file": "replication_queue.md"} | [
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56930d94-6bf3-41d0-ba94-c35d0a0af7b5 | description: 'This table contains dimensional metrics that can be calculated instantly
and exported in the Prometheus format. It is always up to date.'
keywords: ['system table', 'dimensional_metrics']
slug: /operations/system-tables/dimensional_metrics
title: 'system.dimensional_metrics'
doc_type: 'reference'
im... | {"source_file": "dimensional_metrics.md"} | [
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2ae0ab43-e8c0-449e-a06f-65b054ad7807 | slug: /integrations/misc
keywords: ['Retool', 'Easypanel', 'Splunk']
title: 'Tools'
description: 'Landing page for the Tools section'
doc_type: 'landing-page'
Tools
| Page |
|-------------------|
|
Visual Interfaces
|
|
Proxies
|
|
Integrations
| | {"source_file": "index.md"} | [
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404d828b-c0a9-4571-b25e-fd9356f165c5 | slug: /integrations/tools
keywords: ['Retool', 'Easypanel', 'Splunk']
title: 'Tools'
description: 'Landing page for the tools section'
doc_type: 'landing-page'
Tools
| Page | Description |
|---... | {"source_file": "index.md"} | [
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86a99baa-ee17-4179-843b-a0b7f0eb5339 | sidebar_label: 'Metabase'
sidebar_position: 131
slug: /integrations/metabase
keywords: ['Metabase']
description: 'Metabase is an easy-to-use, open source UI tool for asking questions about your data.'
title: 'Connecting Metabase to ClickHouse'
show_related_blogs: true
doc_type: 'guide'
integration:
- support_level: '... | {"source_file": "metabase-and-clickhouse.md"} | [
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9c72d0fa-d22e-4ce4-8004-686155a856c9 | 3. Connect Metabase to ClickHouse {#3--connect-metabase-to-clickhouse}
Click on the gear icon in the top-right corner and select
Admin Settings
to visit your
Metabase admin page
.
Click on
Add a database
. Alternately, you can click on the
Databases
tab and select the
Add database
button.
If ... | {"source_file": "metabase-and-clickhouse.md"} | [
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bb27c98a-6714-4d03-a1f9-53cb991b3f3d | sidebar_label: 'Lightdash'
sidebar_position: 131
slug: /integrations/lightdash
keywords: ['clickhouse', 'lightdash', 'data visualization', 'BI', 'semantic layer', 'dbt', 'self-serve analytics', 'connect']
description: 'Lightdash is a modern open-source BI tool built on top of dbt, enabling teams to explore and visualiz... | {"source_file": "lightdash-and-clickhouse.md"} | [
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0.07515169680118561,
-0.03895784914493561,
0.016437554731965065,
-0.00... |
e3e70a89-7a26-48ec-a6bc-4500b27d6831 | Port:
The ClickHouse HTTPS interface port (default:
8443
)
Secure:
Enable this option to use HTTPS/SSL for secure connections
Retries:
Number of times Lightdash retries failed ClickHouse queries (default:
3
)
Start of week:
Choose which day your reporting week starts; defaults to your warehouse settin... | {"source_file": "lightdash-and-clickhouse.md"} | [
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0dc5c4aa-b114-4335-8380-ddfc1db3a9db | The
Explore
page is made up of five main areas:
Dimensions and Metrics
— all fields available on the selected table
Filters
— restrict the data returned by your query
Chart
— visualize your query results
Results
— view the raw data returned from your ClickHouse database
SQL
— inspect the gene... | {"source_file": "lightdash-and-clickhouse.md"} | [
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f4d65906-cb2c-4da4-98e0-583995a31a68 | sidebar_label: 'QuickSight'
slug: /integrations/quicksight
keywords: ['clickhouse', 'aws', 'amazon', 'QuickSight', 'mysql', 'connect', 'integrate', 'ui']
description: 'Amazon QuickSight powers data-driven organizations with unified business intelligence (BI).'
title: 'QuickSight'
doc_type: 'guide'
integration:
- supp... | {"source_file": "quicksight-and-clickhouse.md"} | [
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5e6505ee-8283-4835-aeca-b174907314f7 | QuickSight requires several additional settings in the MySQL user's profile.
/etc/clickhouse-server/users.d/mysql_user.xml
xml
<profiles>
<default>
<prefer_column_name_to_alias>1</prefer_column_name_to_alias>
<mysql_map_string_to_text_in_show_columns>1</mysql_map_string_to_text_in_show_columns>
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660bdf56-9e01-429a-88b3-a07cc4b86614 | sidebar_label: 'Superset'
sidebar_position: 198
slug: /integrations/superset
keywords: ['superset']
description: 'Apache Superset is an open-source data exploration and visualization platform.'
title: 'Connect Superset to ClickHouse'
show_related_blogs: true
doc_type: 'guide'
integration:
- support_level: 'core'
- ... | {"source_file": "superset-and-clickhouse.md"} | [
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05eefb8a-c419-4238-ad67-6a0d44550fab | Within Superset, select
Data
from the top menu and then
Databases
from the drop-down menu. Add a new database by clicking the
+ Database
button:
In the first step, select
ClickHouse Connect
as the type of database:
In the second step:
Set SSL on or off.
Enter the connection information t... | {"source_file": "superset-and-clickhouse.md"} | [
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e93f0329-6bf4-4a68-acbb-41b284911422 | sidebar_label: 'Looker Studio'
slug: /integrations/lookerstudio
keywords: ['clickhouse', 'looker', 'studio', 'connect', 'mysql', 'integrate', 'ui']
description: 'Looker Studio, formerly Google Data Studio, is an online tool for converting data into customizable informative reports and dashboards.'
title: 'Looker Studio... | {"source_file": "looker-studio-and-clickhouse.md"} | [
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9ff5b962-489d-44e9-b8bc-65d93c1aa60a | When using ClickHouse Cloud, you need to enable MySQL interface first. You can do that in connection dialog, "MySQL" tab.
In the Looker Studio UI, choose the "Enable SSL" option. ClickHouse Cloud's SSL certificate is signed by
Let's Encrypt
. You can download this root cert
here
.
The rest of the steps ar... | {"source_file": "looker-studio-and-clickhouse.md"} | [
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71f2b9b4-f04f-4848-a714-79bfad974b68 | sidebar_label: 'Splunk'
sidebar_position: 198
slug: /integrations/splunk
keywords: ['Splunk', 'integration', 'data visualization']
description: 'Connect Splunk dashboards to ClickHouse'
title: 'Connecting Splunk to ClickHouse'
doc_type: 'guide'
import Image from '@theme/IdealImage';
import splunk_1 from '@site/stat... | {"source_file": "splunk-and-clickhouse.md"} | [
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1c75eb35-f9e4-4bc7-ae3f-616ac291d599 | Before you get started you will need:
- Splunk Enterprise to use search head functions
-
Java Runtime Environment (JRE)
requirements installed on your OS or container
-
Splunk DB Connect
- Admin or SSH access to your Splunk Enterprise OS Instance
- ClickHouse connection details (see
here
if you're using ClickHous... | {"source_file": "splunk-and-clickhouse.md"} | [
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76052859-2da1-4f1f-9607-c8ec56fdb1ee | Run a SQL query {#run-a-sql-query}
We will now run a SQL query to test that everything works.
Select your connection details in the SQL Explorer from the DataLab section of the DB Connect App. We are using the
trips
table for this demo:
Execute a SQL query on the
trips
table that returns the count of all t... | {"source_file": "splunk-and-clickhouse.md"} | [
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5b07a1e7-7a08-44d2-9cc4-7bc18e2e169a | sidebar_label: 'Power BI'
slug: /integrations/powerbi
keywords: ['clickhouse', 'Power BI', 'connect', 'integrate', 'ui']
description: 'Microsoft Power BI is an interactive data visualization software product developed by Microsoft with a primary focus on business intelligence.'
title: 'Power BI'
doc_type: 'guide'
integ... | {"source_file": "powerbi-and-clickhouse.md"} | [
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d2a57e04-88d3-40d2-a372-d958167af43c | This tutorial will guide you through the process of:
Installing the ClickHouse ODBC Driver
Installing the ClickHouse Power BI Connector into Power BI Desktop
Querying data from ClickHouse for visualization in Power BI Desktop
Setting up an on-premise data gateway for Power BI Service
Prerequisites {#prere... | {"source_file": "powerbi-and-clickhouse.md"} | [
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e5c7d8e9-9a74-4ab9-9fa5-7e37f6737d12 | Once the import is complete, your ClickHouse Data should be accessible in Power BI as usual.
Power BI service {#power-bi-service}
In order to use Microsoft Power BI Service, you need to create an
on-premise data gateway
.
For more details on how to setup custom connectors, please refer to Microsoft's documentat... | {"source_file": "powerbi-and-clickhouse.md"} | [
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ac1689fe-88b9-439a-8c61-44638eecd494 | sidebar_label: 'Looker'
slug: /integrations/looker
keywords: ['clickhouse', 'looker', 'connect', 'integrate', 'ui']
description: 'Looker is an enterprise platform for BI, data applications, and embedded analytics that helps you explore and share insights in real time.'
title: 'Looker'
doc_type: 'guide'
integration:
-... | {"source_file": "looker-and-clickhouse.md"} | [
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22b0bcdc-4c08-4804-9df7-fc6a49d9debe | sidebar_label: 'Omni'
slug: /integrations/omni
keywords: ['clickhouse', 'Omni', 'connect', 'integrate', 'ui']
description: 'Omni is an enterprise platform for BI, data applications, and embedded analytics that helps you explore and share insights in real time.'
title: 'Omni'
doc_type: 'guide'
import ConnectionDetai... | {"source_file": "omni-and-clickhouse.md"} | [
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... |
5dfb461e-d78b-4850-abc3-dd7d1078abed | sidebar_label: 'Overview'
sidebar_position: 1
keywords: ['ClickHouse', 'connect', 'Luzmo', 'Explo', 'Fabi.ai', 'Tableau', 'Grafana', 'Metabase', 'Mitzu', 'superset', 'Databrain','Deepnote', 'Draxlr', 'RocketBI', 'Omni', 'bi', 'visualization', 'tool', 'lightdash']
title: 'Visualizing Data in ClickHouse'
slug: /integrati... | {"source_file": "index.md"} | [
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21d6c74a-3a3e-4efd-a24d-3c1e679a15e9 | | Tool | Supported via | Tested | Documented | Comment |
|---------------------------------------------------... | {"source_file": "index.md"} | [
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35fd3758-b6e9-4be3-8059-7714fa3b68e8 | |
Lightdash
| Native connector | ✅ | ✅ |
|
|
Looker
| Native connector | ✅ | ✅ | Works with some limitations, see
the documentation
for more details |
| Looker ... | {"source_file": "index.md"} | [
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51e96a6f-b13d-4b14-89d4-7c9000d8adb6 | slug: /integrations/marimo
sidebar_label: 'marimo'
description: 'marimo is a next-generation Python notebook for interacting with data'
title: 'Using marimo with ClickHouse'
doc_type: 'guide'
keywords: ['marimo', 'notebook', 'data analysis', 'python', 'visualization']
import Image from '@theme/IdealImage';
import m... | {"source_file": "marimo.md"} | [
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0d4661bf-520e-43ec-b3ee-6a642c9bd641 | 3. Run SQL {#run-sql}
Once you have set up a connection, you can create a new SQL cell and choose the clickhouse engine.
For this guide, we will use the New York Taxi dataset.
sql
CREATE TABLE trips (
trip_id UInt32,
pickup_datetime DateTime,
dropoff_datetime DateTime,
pickup... | {"source_file": "marimo.md"} | [
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86d84a37-9866-4240-baeb-15d89eeab1e6 | sidebar_label: 'SQL Console'
sidebar_position: 1
title: 'SQL Console'
slug: /integrations/sql-clients/sql-console
description: 'Learn about SQL Console'
doc_type: 'guide'
keywords: ['sql console', 'query interface', 'web ui', 'sql editor', 'cloud console'] | {"source_file": "sql-console.md"} | [
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aac8b52e-e514-4d8f-8c29-c6902cd7737c | import ExperimentalBadge from '@theme/badges/ExperimentalBadge';
import Image from '@theme/IdealImage';
import table_list_and_schema from '@site/static/images/cloud/sqlconsole/table-list-and-schema.png';
import view_columns from '@site/static/images/cloud/sqlconsole/view-columns.png';
import abc from '@site/static/imag... | {"source_file": "sql-console.md"} | [
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99d977d0-b49d-40b5-8a75-9c139b5ede54 | import trip_total_by_week from '@site/static/images/cloud/sqlconsole/trip-total-by-week.png';
import bar_chart from '@site/static/images/cloud/sqlconsole/bar-chart.png';
import change_from_bar_to_area from '@site/static/images/cloud/sqlconsole/change-from-bar-to-area.png';
import update_query_name from '@site/static/im... | {"source_file": "sql-console.md"} | [
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40996761-9245-43f9-9177-ff3c7b458909 | SQL Console
SQL console is the fastest and easiest way to explore and query your databases in ClickHouse Cloud. You can use the SQL console to:
Connect to your ClickHouse Cloud Services
View, filter, and sort table data
Execute queries and visualize result data in just a few clicks
Share queries with team m... | {"source_file": "sql-console.md"} | [
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49a47660-50e2-41f0-852c-aa9faf7e061c | Similar to the sort functionality, click the 'x' button next to a filter to remove it.
Filtering and sorting together {#filtering-and-sorting-together}
The SQL console allows you to filter and sort a table at the same time. To do this, add all desired filters and sorts using the steps described above and click the ... | {"source_file": "sql-console.md"} | [
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dd1904a8-bd48-4f35-8db3-0f6fec56ea78 | Saving a query {#saving-a-query}
If not previously named, your query should be called 'Untitled Query'. Click on the query name to change it. Renaming a query will cause the query to be saved.
You can also use the save button or
cmd / ctrl + s
keyboard shortcut to save a query.
Using GenAI to manage queries... | {"source_file": "sql-console.md"} | [
0.032162073999643326,
0.00992831215262413,
-0.03760501742362976,
0.10992120206356049,
-0.09484361112117767,
0.050442472100257874,
0.062104009091854095,
-0.011956500820815563,
-0.015604843385517597,
0.05184511840343475,
0.025023043155670166,
-0.12492293119430542,
0.05685015395283699,
-0.055... |
e996377f-2312-40ff-8cd8-cbb5f9ced895 | This query grabs the dataset from the
gov.uk
website. This file is ~4GB, so this query will take a few minutes to complete. Once ClickHouse has processed the query, you should have the entire dataset within the
uk_price_paid
table.
Query creation {#query-creation}
Let's create a query using natural language.
... | {"source_file": "sql-console.md"} | [
0.02846645563840866,
0.0041235038079321384,
-0.03665574640035629,
0.09252353757619858,
-0.09738187491893768,
-0.00971410982310772,
0.1232374832034111,
0.046057187020778656,
0.0033288239501416683,
0.02055487036705017,
-0.010516284964978695,
-0.09116227179765701,
0.012259898707270622,
-0.030... |
0b1d1007-83f9-4582-b800-9acc2631f21f | Note: Any field matching the inputted value will be returned. For example, the third record in the above screenshot does not match 'breakfast' in the
by
field, but the
text
field does:
Adjusting pagination settings {#adjusting-pagination-settings}
By default, the query result pane will display every result re... | {"source_file": "sql-console.md"} | [
-0.05289096385240555,
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0.10066074132919312,
0.009303808212280273,
0.042672209441661835,
0.0318906307220459,
-0.03209792822599411,
-0.04825757071375847,
0.004895153921097517,
0.04818481206893921,
-0.09811075... |
e6f0ab9c-12e3-4e84-85d6-3767665689e3 | Subtitle
Axis titles
Label orientation for the x-axis
Our chart will be updated accordingly:
In some scenarios, it may be necessary to adjust the axis scales for each field independently. This can also be accomplished in the 'Advanced' section of the chart configuration pane by specifying min and max values... | {"source_file": "sql-console.md"} | [
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0.059699270874261856,
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0.04356079176068306,
0.016351159662008286,
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0.041133083403110504,
... |
73f8e771-db85-4fa1-9c7c-8c968e4f59e4 | sidebar_label: 'DataGrip'
slug: /integrations/datagrip
description: 'DataGrip is a database IDE that supports ClickHouse out of the box.'
title: 'Connecting DataGrip to ClickHouse'
doc_type: 'guide'
integration:
- support_level: 'partner'
- category: 'sql_client'
- website: 'https://www.jetbrains.com/datagrip/'
k... | {"source_file": "datagrip.md"} | [
-0.0563022755086422,
-0.060267042368650436,
-0.019737590104341507,
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-0.027316419407725334,
0.017827654257416725,
0.05091669410467148,
-0.05032737925648689,
-0.05398400127887726,
0.02525571547448635,
0.0012224100064486265,
0.015114032663404942,
-0.... |
c4a4eeb3-cc74-4c43-8a2b-28924d744faf | slug: /integrations/sql-clients/
description: 'Overview page for ClickHouse SQL clients.'
keywords: ['integrations', 'DataGrip', 'DBeaver', 'DbVisualizer', 'Jupyter Notebooks', 'QStudio', 'TABLUM.IO', 'marimo']
title: 'SQL Client Integrations'
doc_type: 'landing-page'
SQL client integrations
This section describe... | {"source_file": "index.md"} | [
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0.01769261434674263,
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0.02192915417253971,
0.007020600140094757,
0.0006547414232045412,
0.07763346284627914,
-0.034... |
766380a5-2c47-404a-a189-564356228f37 | slug: /integrations/dbeaver
sidebar_label: 'DBeaver'
description: 'DBeaver is a multi-platform database tool.'
title: 'Connect DBeaver to ClickHouse'
doc_type: 'guide'
integration:
- support_level: 'partner'
- category: 'sql_client'
- website: 'https://github.com/dbeaver/dbeaver'
keywords: ['DBeaver', 'database m... | {"source_file": "dbeaver.md"} | [
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0.043040260672569275,
-0.027812838554382324,
0.12894566357135773,
0.0173... |
df6a1578-d5b3-49bb-a922-749f05deeb80 | Right click on your connection and choose
SQL Editor > Open SQL Script
to open a query editor:
An example query against
system.query_log
:
Next steps {#next-steps}
See the
DBeaver wiki
to learn about the capabilities of DBeaver, and the
ClickHouse documentation
to learn about the capabilities of ... | {"source_file": "dbeaver.md"} | [
0.04818055406212807,
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0.03966934606432915,
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0.007592142093926668,
0.07243674248456955,
-0.0... |
72038a20-488d-464a-b176-e2be3b9b177d | slug: /integrations/jupysql
sidebar_label: 'Jupyter notebooks'
description: 'JupySQL is a multi-platform database tool for Jupyter.'
title: 'Using JupySQL with ClickHouse'
keywords: ['JupySQL', 'Jupyter notebook', 'Python', 'data analysis', 'interactive SQL']
doc_type: 'guide'
integration:
- support_level: 'community... | {"source_file": "jupysql.md"} | [
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0.055995430797338486,
-0.05334951728582382,
0.12033439427614212,
-0.0145... |
3d2d3ef9-8181-43c3-a13d-683f6d7c7a4d | python
%sql clickhouse://default:@localhost:8123/default
sql
%%sql
CREATE TABLE trips
(
`trip_id` UInt32,
`vendor_id` Enum8('1' = 1, '2' = 2, '3' = 3, '4' = 4, 'CMT' = 5, 'VTS' = 6, 'DDS' = 7, 'B02512' = 10, 'B02598' = 11, 'B02617' = 12, 'B02682' = 13, 'B02764' = 14, '' = 15),
`pickup_date` Date,
`pic... | {"source_file": "jupysql.md"} | [
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0.04329023137688637,
0.10402648895978928,
-0.07819537818431854,
0.005412074737250805,
-0... |
cc6e9588-a811-4283-86a8-5709d2b29218 | * clickhouse://default:***@localhost:8123/default
Done.
sql
%%sql
INSERT INTO trips
SELECT * FROM s3(
'https://datasets-documentation.s3.eu-west-3.amazonaws.com/nyc-taxi/trips_{1..2}.gz',
'TabSeparatedWithNames', "
`trip_id` UInt32,
`vendor_id` Enum8('1' = 1, '2' = 2, '3' = 3, '4' = 4, 'CMT'... | {"source_file": "jupysql.md"} | [
0.06193659454584122,
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0.033653002232313156,
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0.017554299905896187,
0.05257924646139145,
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0.048425592482089996,
0.04134713113307953,
-0.09779882431030273,
0.03299810364842415,
-0.0611... |
b9acb3df-bf99-4f57-8c30-8449a1e1ba0f | average_total_amount
0
22.69
1
15.97
2
17.15
3
16.76
4
17.33
5
16.35
6
16.04
7
59.8
8
36.41
9
9.81
sql
%%sql
SELECT
pickup_date,
pickup_ntaname,
SUM(1) AS number_of_trips
FROM trips
GROUP BY pickup_date, pickup_ntaname
ORD... | {"source_file": "jupysql.md"} | [
0.06898073852062225,
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0.05339143052697182,
0.13838639855384827,
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0.04585183784365654,
0.0038919036742299795,
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0.0016675795195624232,
0.028730519115924835,
-0.05599537491798401,
-0.0017762163188308477,
-... |
e3f1bde0-9991-4d25-ab6d-daa7d92a66a0 | sidebar_label: 'DbVisualizer'
slug: /integrations/dbvisualizer
description: 'DbVisualizer is a database tool with extended support for ClickHouse.'
title: 'Connecting DbVisualizer to ClickHouse'
keywords: ['DbVisualizer', 'database visualization', 'SQL client', 'JDBC driver', 'database tool']
doc_type: 'guide'
integrat... | {"source_file": "dbvisualizer.md"} | [
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0.1226012110710144,
-0.0403... |
26b16bc3-1996-4be4-b042-7eb36f638a5c | sidebar_label: 'TABLUM.IO'
slug: /integrations/tablumio
description: 'TABLUM.IO is a data management SaaS that supports ClickHouse out of the box.'
title: 'Connecting TABLUM.IO to ClickHouse'
doc_type: 'guide'
integration:
- support_level: 'partner'
- category: 'sql_client'
keywords: ['tablum', 'sql client', 'datab... | {"source_file": "tablum.md"} | [
0.05720632150769234,
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0.09511493146419525,
0.02592931129038334,
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0.011829332448542118,
0.06111476570367813,
-0.009475686587393284,
0.12525857985019684,
-0.0070... |
052107fa-e760-4372-a12f-fa99e81fa210 | slug: /integrations/qstudio
sidebar_label: 'QStudio'
description: 'QStudio is a free SQL tool.'
title: 'Connect QStudio to ClickHouse'
doc_type: 'guide'
keywords: ['qstudio', 'sql client', 'database tool', 'query tool', 'ide']
import ConnectionDetails from '@site/docs/_snippets/_gather_your_details_http.mdx';
impor... | {"source_file": "qstudio.md"} | [
0.03420175611972809,
-0.05180143192410469,
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0.05954337120056152,
0.05114208534359932,
0.028017591685056686,
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0.011172203347086906,
0.009629284031689167,
0.0012771988986060023,
0.10046910494565964,
0.0... |
49c26c1c-779a-462c-bf26-90b1f2c28e4a | sidebar_label: 'C#'
sidebar_position: 6
keywords: ['clickhouse', 'cs', 'c#', '.net', 'dotnet', 'csharp', 'client', 'driver', 'connect', 'integrate']
slug: /integrations/csharp
description: 'The official C# client for connecting to ClickHouse.'
title: 'ClickHouse C# Driver'
doc_type: 'guide'
integration:
- support_lev... | {"source_file": "csharp.md"} | [
-0.05072968080639839,
-0.01587488129734993,
-0.05272218957543373,
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0.02208799123764038,
0.034294456243515015,
0.01015828549861908,
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-0.038743115961551666,
0.06916709989309311,
-0.0... |
790e82f2-ffa8-4e2c-b54e-1ca92b92813e | Usage {#usage}
Connection string parameters {#connection-string}
| Parameter | Description | Default |
| ------------------- | ----------------------------------------------- | ------------------- |
|
Host
| ClickHouse server address ... | {"source_file": "csharp.md"} | [
-0.005011194851249456,
-0.023981191217899323,
-0.18447762727737427,
-0.010061634704470634,
-0.061525266617536545,
-0.019330468028783798,
-0.0013583910185843706,
0.002781977178528905,
-0.021876655519008636,
0.027391470968723297,
0.007045796141028404,
0.011302300728857517,
0.08059219270944595,... |
c2bd02b0-0bcf-4cbf-b7b9-31d84b772afa | Recommendations:
A
ClickHouseConnection
represents a "session" with the server. It performs feature discovery by querying server version (so there is a minor overhead on opening), but generally it is safe to create and destroy such objects multiple times.
Recommended lifetime for a connection is one connection ... | {"source_file": "csharp.md"} | [
-0.02905004844069481,
-0.02970128133893013,
-0.10824187099933624,
0.05924312770366669,
-0.14008527994155884,
-0.05615021660923958,
0.07327257096767426,
-0.014884254895150661,
-0.008838318288326263,
0.024578187614679337,
-0.002453066408634186,
-0.009983071126043797,
0.07848493754863739,
-0.... |
582bf23f-218a-45a6-a29c-7116f9410c01 | await bulkCopy.WriteToServerAsync(values);
Console.WriteLine($"Rows written: {bulkCopy.RowsWritten}");
```
:::note
* For optimal performance, ClickHouseBulkCopy uses the Task Parallel Library (TPL) to process batches of data, with up to 4 parallel insertion tasks (this can be tuned).
* Column names can be optionally ... | {"source_file": "csharp.md"} | [
0.005340615287423134,
-0.06877580285072327,
-0.09839366376399994,
0.05684272199869156,
-0.04175247624516487,
-0.055565543472766876,
-0.011613554321229458,
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-0.042350996285676956,
0.034459397196769714,
0.05932772904634476,
-0.06590267270803452,
0.020877515897154808,
-0... |
ac119539-403b-4a76-b3d4-ea1973483e72 | sql
{<name>:<data type>}
Examples:
sql
SELECT {value:Array(UInt16)} as value
sql
SELECT * FROM table WHERE val = {tuple_in_tuple:Tuple(UInt8, Tuple(String, UInt8))}
sql
INSERT INTO table VALUES ({val1:Int32}, {val2:Array(UInt8)})
:::note
* SQL 'bind' parameters are passed as HTTP URI query parameters, so usin... | {"source_file": "csharp.md"} | [
0.002113230060786009,
-0.07404393702745438,
-0.0929090827703476,
0.04954903945326805,
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0.0003511605900712311,
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0.02143656276166439,
-0.013136088848114014,
-0.026262659579515457,
0.08865687996149063,
-0.054... |
a1bc4c49-5f01-4261-ac7d-039e3d85670c | Environment variables {#environment-variables}
You can set defaults using environment variables:
| Variable | Purpose |
| --------------------- | ---------------- |
|
CLICKHOUSE_DB
| Default database |
|
CLICKHOUSE_USER
| Default username |
|
CLICKHOUSE_PASSWORD
| Default passw... | {"source_file": "csharp.md"} | [
-0.03622229024767876,
-0.03174779936671257,
-0.06474671512842178,
0.0684325248003006,
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-0.03527991846203804,
0.05062974989414215,
0.006091176066547632,
-0.08964040130376816,
-0.0005898149101994932,
-0.01132582500576973,
-0.10106191039085388,
0.06645156443119049,
0.00817... |
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