id stringlengths 36 36 | document stringlengths 3 3k | metadata stringlengths 23 69 | embeddings listlengths 384 384 |
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24c1ced7-6aa1-4094-9768-ddec05476191 | | [Open Targets](https://www.opentargets.org/) | Genome Research | Genome Search | [Twitter, October 2021](https://twitter.com/OpenTargets/status/1452570865342758913?s=20), [Blog](https://... | {"source_file": "adopters.md"} | [
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619b2f6e-56f1-4ec2-b519-09214d82f8fc | | [OpsVerse](https://opsverse.io/) | Observability | — | [Twitter, 2022](https://twitter.com/OpsVerse/status/1584548242100219904) ... | {"source_file": "adopters.md"} | [
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94d06a0a-b04c-4764-aaea-456c97cc7851 | | [Oxide](https://oxide.computer/) | Hardware & Software | Server Control Plane | [GitHub Repository](https://github.com/oxidecomputer/omicron) ... | {"source_file": "adopters.md"} | [
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42b9d88c-6946-41e2-90bd-38ee0339ede2 | | [PRANA](https://prana-system.com/en/) | Industrial predictive analytics | Main product | [News (russian), Feb 2021](https://habr.com/en/news/t/541392/) ... | {"source_file": "adopters.md"} | [
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4b7fb1b2-a10f-4410-b5ca-d89bdf2d8834 | | [Papermark](https://www.papermark.io/) | Software & Technology | Document Sharing & Analytics | [Twitter, September 2023](https://twitter.com/mfts0/status/1698670144367567263) ... | {"source_file": "adopters.md"} | [
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9651ed0e-2851-4540-803c-1c169b07a1e5 | | [Physics Wallah](https://www.pw.live/) | Education Technology | Real-Time Analytics | [Gurgaon Meetup talk, March 2025](https://clickhouse.com/videos/gurgaon-meetup-clickhouse-at-physics-wall... | {"source_file": "adopters.md"} | [
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73dc677d-3422-4656-9145-20400f3d3d0f | | [Piwik PRO](https://piwik.pro/) | Web Analytics | — | [Official website, Dec 2018](https://piwik.pro/blog/piwik-pro-clickhouse-faster-efficient-reports/) ... | {"source_file": "adopters.md"} | [
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81698954-0478-4d57-a675-a5878736e2f4 | | [PostHog](https://posthog.com/) | Product Analytics | Main Product | [Release Notes, October 2020](https://posthog.com/blog/the-posthog-array-1-15-0), [Blog, November 2021](h... | {"source_file": "adopters.md"} | [
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590b172f-7cdb-436b-9ad6-31ca9baa611e | | [Prefect](https://www.prefect.io/) | Software & Technology | Main Product | [Blog, May 2024](https://clickhouse.com/blog/prefect-event-driven-workflow-orchestration-powered-by-click... | {"source_file": "adopters.md"} | [
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92d2cec0-235d-4b32-8d65-3bbe1db6bc34 | | [QINGCLOUD](https://www.qingcloud.com/) | Cloud services | Main product | [Slides in Chinese, October 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meet... | {"source_file": "adopters.md"} | [
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9a5bd5bc-e87b-4cb1-9f14-19460136c956 | | [Qube Research & Technologies](https://www.qube-rt.com/) | FinTech | Analysis | ClickHouse Cloud user ... | {"source_file": "adopters.md"} | [
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69efa4e2-524b-4ef5-bccf-f2b8df190954 | | [Retell](https://retell.cc/) | Speech synthesis | Analytics | [Blog Article, August 2020](https://vc.ru/services/153732-kak-sozdat-audiostati-na-vashem-sayte-i-zachem-... | {"source_file": "adopters.md"} | [
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640f9ac7-96c3-4f20-bd1b-f09cb29b0761 | | [RuSIEM](https://rusiem.com/en) | SIEM | Main Product | [Official Website](https://rusiem.com/en/products/architecture) ... | {"source_file": "adopters.md"} | [
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bc51cfcd-8732-4567-899c-33fe1cee45b1 | | [SMI2](https://smi2.ru/) | News | Analytics | [Blog Post in Russian, November 2017](https://habr.com/ru/company/smi2/blog/314558/) ... | {"source_file": "adopters.md"} | [
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1a4a9cbe-b30a-4874-9515-e1f46147814c | | [ScratchDB](https://scratchdb.com/) | Software & Technology | Serverless Analytics | [GitHub](https://github.com/scratchdata/ScratchDB) ... | {"source_file": "adopters.md"} | [
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aad15a27-a457-4ce1-88ab-7752fe866d6d | | [ServiceNow](https://www.servicenow.com/) | Managed Services | Qualitative Mobile Analytics | [Meetup Video, January 2023](https://www.youtube.com/watch?v=b4Pmpx3iRK4&list=PL0Z2YDlm0b3iNDUzpY1S3L_iV4... | {"source_file": "adopters.md"} | [
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ecb78fdb-8844-4953-83fa-d91e69c57749 | | [Visiology](https://visiology.com/) | Business intelligence | Analytics | [Company website](https://visiology.com/) ... | {"source_file": "adopters.md"} | [
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6530acae-527c-4335-ad2f-bd6493516035 | | [W3 Analytics](https://w3analytics.hottoshotto.com/) | Blockchain | Dashboards for NFT analytics | [Community Slack, July 2023](https://clickhousedb.slack.com/archives/CU170QE9H/p1689907164648339) ... | {"source_file": "adopters.md"} | [
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bc7f3cd9-7a32-4862-b074-44ea74ba6674 | | [Walmart Labs](https://www.walmartlabs.com/) | Internet, Retail | — | [Talk in English, July 2020](https://youtu.be/GMiXCMFDMow?t=144) ... | {"source_file": "adopters.md"} | [
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-0.011755989864468575,
-0.021408231928944588,
-0.010144298896193504,
0.019287720322608948,
0.08287932723760605,
0.014517986215651035,
0... |
1a438c96-0b8e-43d6-92f9-79847df9b74d | | [Yandex Market](https://market.yandex.ru/) | e-Commerce | Metrics, Logging | [Talk in Russian, January 2019](https://youtu.be/_l1qP0DyBcA?t=478) ... | {"source_file": "adopters.md"} | [
-0.00972325075417757,
-0.11215782165527344,
-0.03795478492975235,
0.051055796444416046,
-0.0148481335490942,
-0.014265524223446846,
0.02085360698401928,
-0.017665298655629158,
-0.007109861355274916,
-0.03584422543644905,
-0.008143682964146137,
0.03372906893491745,
0.08385321497917175,
0.03... |
c43d2e17-93a5-40cf-9407-b14ea8000dc2 | | [Yotascale](https://www.yotascale.com/) | Cloud | Data pipeline | [LinkedIn (Accomplishments)](https://www.linkedin.com/in/adilsaleem/) ... | {"source_file": "adopters.md"} | [
-0.07059283554553986,
0.027919020503759384,
0.014373120851814747,
0.012983487918972969,
0.03263551741838455,
0.0036699448246508837,
0.0076631479896605015,
0.01593763567507267,
-0.028150182217359543,
0.030392155051231384,
-0.044421736150979996,
-0.009459839202463627,
0.023623758926987648,
0... |
747ae7b2-6e64-4b73-a774-28dac3ad75a4 | | [Zappi](https://www.zappi.io/web/) | Software & Technology | Market Research | [Twitter Post, June 2024](https://x.com/HermanLangner/status/1805870318218580004)) ... | {"source_file": "adopters.md"} | [
-0.0731792151927948,
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-0.054305002093315125,
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0.013075723312795162,
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-0.019010573625564575,
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0.029108401387929916,
0.05016285181045532,
0.... |
1b0a7256-43b5-4426-98f0-dc1aebac49ca | | [Zipy](https://www.zipy.ai/) | Software & Technology | User session debug | [Blog, April 2023](https://www.zipy.ai/blog/deep-dive-into-clickhouse) ... | {"source_file": "adopters.md"} | [
-0.031064383685588837,
0.03514479100704193,
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0.027068939059972763,
-0.024650439620018005,
0.0592... |
64a22288-4dbb-4aaa-9d06-5d15fa99ef1d | | [Zoox](https://zoox.com/) | Software & Technology | Observability | [Job listing](https://www.linkedin.com/jobs/view/senior-software-engineer-observability-at-zoox-413940024... | {"source_file": "adopters.md"} | [
-0.0494760163128376,
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0.06022656336426735,
0.0026935043279081583,
0.08... |
80c48d0c-915e-4e4f-902e-dbdabd6c1886 | | [МКБ](https://mkb.ru/) | Bank | Web-system monitoring | [Slides in Russian, September 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/me... | {"source_file": "adopters.md"} | [
-0.04938717931509018,
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0.... |
5c25091e-e3e6-400b-8def-5290fb42c22b | | [ЦФТ](https://cft.ru/) | Banking, Financial products, Payments | — | [Meetup in Russian, April 2020](https://team.cft.ru/events/162) ... | {"source_file": "adopters.md"} | [
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-0.014894172549247742,
0.0... |
efa681ea-42b7-49ea-b7e8-71535ea001d9 | title: 'Getting started with chDB'
sidebar_label: 'Getting started'
slug: /chdb/getting-started
description: 'chDB is an in-process SQL OLAP Engine powered by ClickHouse'
keywords: ['chdb', 'embedded', 'clickhouse-lite', 'in-process', 'in process']
doc_type: 'guide'
Getting started with chDB
In this guide, we're ... | {"source_file": "getting-started.md"} | [
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-0.0... |
3c60730d-8fa1-43a5-a8f7-1b3e3f9b1640 | We can also count the number of rows in that file:
python
chdb.query(
"""
SELECT count()
FROM s3(
's3://clickhouse-public-datasets/youtube/original/files/' ||
'youtubedislikes_20211127161229_18654868.1637897329_vid.json.zst',
'JSONLines'
)"""
)
text
336432
This file contains just over 300,000 ... | {"source_file": "getting-started.md"} | [
-0.007208862341940403,
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0.049451977014541626,
0.06768494844436646,
0.015926195308566093,
-0.03594554215669632,
-0.0014391541481018066,
-0.0066490513272583485,
0.07072339951992035,
-... |
f24488f5-493d-4ee5-bb82-119669ea6cf0 | We can then use the
DESCRIBE
clause to inspect the schema:
python
sess.query(f"""
DESCRIBE youtube.dislikes
SETTINGS describe_compact_output=1
"""
)
text
"id","String"
"fetch_date","String"
"upload_date","String"
"title","String"
"uploader_id","String"
"uploader","String"
"uploader_sub_count","Int64"
"is... | {"source_file": "getting-started.md"} | [
0.03155962750315666,
-0.037538524717092514,
-0.06226588413119316,
0.027601394802331924,
0.05298832058906555,
0.021350182592868805,
0.05100204050540924,
0.00006870309152873233,
-0.029005801305174828,
-0.015039641410112381,
0.01624375209212303,
-0.049256931990385056,
0.058508362621068954,
-0... |
2efb1c89-65fa-40ef-8095-d56fac5473ee | We can then query that DataFrame from chDB:
python
chdb.query(
"""
SELECT uploader, likeDislikeRatio
FROM Python(df)
""",
output_format="DataFrame"
)
text
uploader likeDislikeRatio
0 Jeremih 21.473548
1 TheKillersMusic ... | {"source_file": "getting-started.md"} | [
0.044081732630729675,
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0.022014809772372246,
0.0685824453830719,
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0.026156200096011162,
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-0.03656702861189842,
0.01236291415989399,
-0.066... |
d1c3945d-daa8-41d7-b4ed-cdf2959b4e61 | title: 'chDB'
sidebar_label: 'Overview'
slug: /chdb
description: 'chDB is an in-process SQL OLAP Engine powered by ClickHouse'
keywords: ['chdb', 'embedded', 'clickhouse-lite', 'in-process', 'in process']
doc_type: 'guide'
import Image from '@theme/IdealImage';
import dfBench from '@site/static/images/chdb/df_bench... | {"source_file": "index.md"} | [
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0.07137562334537506,
-... |
73b9d852-c014-40ac-a386-eaef9a3ddd01 | description: 'Prerequisites and setup instructions for ClickHouse development'
sidebar_label: 'Prerequisites'
sidebar_position: 5
slug: /development/developer-instruction
title: 'Developer Prerequisites'
doc_type: 'guide'
Prerequisites
ClickHouse can be build on Linux, FreeBSD and macOS.
If you use Windows, you c... | {"source_file": "developer-instruction.md"} | [
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... |
469ebf2a-9858-4bff-a68e-dcd5ca3896ba | ```bash
Permission denied (publickey).
fatal: Could not read from remote repository.
Please make sure you have the correct access rights
and the repository exists.
```
the SSH keys for connecting to GitHub are missing.
These keys are normally located in
~/.ssh
.
For SSH keys to be accepted you need to upload them ... | {"source_file": "developer-instruction.md"} | [
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-0.0009893635287880898,
0.043851226568222046,
... |
7673a780-5b2e-4455-ba6b-3fc0a997ac90 | Testing will commence as soon as ClickHouse employees label your PR with a tag "can be tested".
The results of some first checks (e.g. code style) will come in within several minutes.
Build check results will arrive within half an hour.
The main set of tests will report itself within an hour.
The system will prepare ... | {"source_file": "developer-instruction.md"} | [
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0.018475143238902092,
0.028911778703331947,
-0.007565520238131285,
-0.013599732890725136,... |
5419573e-3253-4820-bb09-2457af55dc4b | CREATE TABLE test.hits ( WatchID UInt64, JavaEnable UInt8, Title String, GoodEvent Int16, EventTime DateTime, EventDate Date, CounterID UInt32, ClientIP UInt32, ClientIP6 FixedString(16), RegionID UInt32, UserID UInt64, CounterClass Int8, OS UInt8, UserAgent UInt8, URL String, Referer String, URLDomain ... | {"source_file": "developer-instruction.md"} | [
0.02527828887104988,
0.019780337810516357,
-0.0887729674577713,
0.018673306331038475,
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0.03730236738920212,
0.010577721521258354,
0.0072205448523163795,
-0.003948391415178776,
0.06516288965940475,
0.0032250413205474615,
-0.07607925683259964,
0.04183816909790039,
-0.049... |
7d8730f8-586c-4408-ab16-3248bb9059f8 | Array(String),
ParsedParams.Key2
Array(String),
ParsedParams.Key3
Array(String),
ParsedParams.Key4
Array(String),
ParsedParams.Key5
Array(String),
ParsedParams.ValueDouble
Array(Float64), IslandID FixedString(16), RequestNum UInt32, RequestTry UInt8) ENGINE = MergeTree PARTITION BY toYYYYMM(EventDate)... | {"source_file": "developer-instruction.md"} | [
0.08288820087909698,
0.02565336413681507,
-0.014367245137691498,
-0.062073227018117905,
-0.1251974105834961,
-0.03519187122583389,
0.014697871170938015,
0.05842030420899391,
-0.017932560294866562,
-0.017802512273192406,
0.0007683751173317432,
-0.037322405725717545,
-0.0013613230548799038,
... |
bb2ac31f-d793-4830-ae1f-bda6755afc0f | CREATE TABLE test.visits ( CounterID UInt32, StartDate Date, Sign Int8, IsNew UInt8, VisitID UInt64, UserID UInt64, StartTime DateTime, Duration UInt32, UTCStartTime DateTime, PageViews Int32, Hits Int32, IsBounce UInt8, Referer String, StartURL String, RefererDomain String, StartURLDomain String, EndUR... | {"source_file": "developer-instruction.md"} | [
0.032418325543403625,
0.011424197815358639,
-0.09586574137210846,
0.025934237986803055,
-0.09045134484767914,
0.04900635778903961,
0.0315408781170845,
-0.019887860864400864,
0.004763551987707615,
0.04656326770782471,
0.025517519563436508,
-0.09620747715234756,
0.07519669830799103,
-0.04094... |
fe4214b3-e6df-4c65-895c-f17e6eadd637 | TraficSource.ID
Array(Int8),
TraficSource.SearchEngineID
Array(UInt16),
TraficSource.AdvEngineID
Array(UInt8),
TraficSource.PlaceID
Array(UInt16),
TraficSource.SocialSourceNetworkID
Array(UInt8),
TraficSource.Domain
Array(String),
TraficSource.SearchPhrase
Array(String),
TraficSource.SocialSourcePa... | {"source_file": "developer-instruction.md"} | [
-0.014496633782982826,
-0.01662614196538925,
-0.1164105087518692,
-0.065900057554245,
-0.04053955897688866,
-0.037678007036447525,
0.06147255375981331,
-0.037710465490818024,
0.004669590387493372,
-0.01599595881998539,
0.03793356195092201,
0.024503376334905624,
0.08100780099630356,
-0.0824... |
cb253492-c043-4288-9e57-e55015cda52b | ```
Import the data:
bash
clickhouse-client --max_insert_block_size 100000 --query "INSERT INTO test.hits FORMAT TSV" < hits_v1.tsv
clickhouse-client --max_insert_block_size 100000 --query "INSERT INTO test.visits FORMAT TSV" < visits_v1.tsv | {"source_file": "developer-instruction.md"} | [
0.05298696830868721,
-0.010659190826117992,
-0.08319796621799469,
0.0325821116566658,
-0.062012072652578354,
-0.031120985746383667,
0.008111447095870972,
0.03038724698126316,
-0.07096698135137558,
0.040135934948921204,
-0.008894030936062336,
-0.00868652667850256,
0.04459051415324211,
-0.02... |
b448b70d-a936-4891-a360-dd267255417d | description: 'A comprehensive overview of ClickHouse architecture and its column-oriented
design'
sidebar_label: 'Architecture Overview'
sidebar_position: 50
slug: /development/architecture
title: 'Architecture Overview'
doc_type: 'reference'
Architecture Overview
ClickHouse is a true column-oriented DBMS. Data... | {"source_file": "architecture.md"} | [
-0.04007166251540184,
0.024023879319429398,
-0.12111201137304306,
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0.035999562591314316,
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0.004017774481326342,
0.06272923201322556,
-0.037581559270620346,
0.09675522893667221,
0.06273331493139267,
-0.0... |
5ff2247a-43d0-4688-8b75-b13347af655e | Various
IColumn
implementations (
ColumnUInt8
,
ColumnString
, and so on) are responsible for the memory layout of columns. The memory layout is usually a contiguous array. For the integer type of columns, it is just one contiguous array, like
std :: vector
. For
String
and
Array
columns, it is two vectors: one... | {"source_file": "architecture.md"} | [
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0.04315495491027832,
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0.05654482543468475,
-0.005665590055286884,
-0.062... |
f222873c-903c-4a4a-afb1-a83652c3b36b | IDataType
and
IColumn
are only loosely related to each other. Different data types can be represented in memory by the same
IColumn
implementations. For example,
DataTypeUInt32
and
DataTypeDateTime
are both represented by
ColumnUInt32
or
ColumnConstUInt32
. In addition, the same data type can be represented... | {"source_file": "architecture.md"} | [
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0.009524636901915073,
-0.02481982670724392,
-0.009466571733355522,
... |
50d0e7df-d59a-4d88-81c8-d2aaffa4334c | ReadBuffer
and
WriteBuffer
are just a contiguous buffer and a cursor pointing to the position in that buffer. Implementations may own or not own the memory for the buffer. There is a virtual method to fill the buffer with the following data (for
ReadBuffer
) or to flush the buffer somewhere (for
WriteBuffer
). The... | {"source_file": "architecture.md"} | [
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0.0035240240395069122,
-0.0717... |
da1746d5-62b9-4949-b244-1e90ac08b244 | But there are notable exceptions:
The AST query is passed to the
read
method, and the table engine can use it to derive index usage and to read fewer data from a table.
Sometimes the table engine can process data itself to a specific stage. For example,
StorageDistributed
can send a query to remote servers, a... | {"source_file": "architecture.md"} | [
-0.02434767410159111,
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0.011900515295565128,
-0... |
0700f9e7-f479-4bc9-b1e0-0752b89dee63 | InterpreterSelectQuery
uses
ExpressionAnalyzer
and
ExpressionActions
machinery for query analysis and transformations. This is where most rule-based query optimizations are performed.
ExpressionAnalyzer
is quite messy and should be rewritten: various query transformations and optimizations should be extracted in... | {"source_file": "architecture.md"} | [
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0.0323396734893322,
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0.009594024159014225,
-0.06147... |
5d72e919-b2a1-47b8-9399-bda487d4b422 | Aggregate functions {#aggregate-functions}
Aggregate functions are stateful functions. They accumulate passed values into some state and allow you to get results from that state. They are managed with the
IAggregateFunction
interface. States can be rather simple (the state for
AggregateFunctionCount
is just a sin... | {"source_file": "architecture.md"} | [
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0.024814363569021225,
0.07253295183181763,
0.05717862397432327,
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... |
3e34ca8f-c29b-4982-906c-c554c7749ce4 | :::note
For most external applications, we recommend using the HTTP interface because it is simple and easy to use. The TCP protocol is more tightly linked to internal data structures: it uses an internal format for passing blocks of data, and it uses custom framing for compressed data. We haven't released a C library ... | {"source_file": "architecture.md"} | [
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0.025878427550196648,
0.021971669048070908,
-... |
9f147eaa-d0ba-46f8-9d34-1ef907203c55 | Server pool is a
Poco::ThreadPool
class instance defined in
Server::main()
method. It can have at most
max_connection
threads. Every thread is dedicated to a single active connection.
Global thread pool is
GlobalThreadPool
singleton class. To allocate thread from it
ThreadFromGlobalPool
is used. It has an i... | {"source_file": "architecture.md"} | [
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... |
c67988b9-caa7-41ef-ad86-b0a41e665276 | There are also specialized thread pools for preemptable tasks. Such
IExecutableTask
task can be split into ordered sequence of jobs, called steps. To schedule these tasks in a manner allowing short tasks to be prioritized over long ones
MergeTreeBackgroundExecutor
is used. As name suggests it is used for background... | {"source_file": "architecture.md"} | [
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-0.0... |
4144ec47-61de-4192-9658-b18abb415fbe | Each slot can be seen as an independent state machine with the following states:
*
free
: slot is available to be allocated by any query.
*
granted
: slot is
allocated
by specific query, but not yet acquired by any thread.
*
acquired
: slot is
allocated
by specific query and acquired by a thread.
Note that
al... | {"source_file": "architecture.md"} | [
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-0.0... |
c80b2f11-45ce-41f1-8f2b-8c287c0b97dc | Things become more complicated when you have subqueries in IN or JOIN clauses, and each of them uses a
Distributed
table. We have different strategies for the execution of these queries.
There is no global query plan for distributed query execution. Each node has its local query plan for its part of the job. We onl... | {"source_file": "architecture.md"} | [
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-... |
942325c4-79ef-4230-a595-82856c5d740e | When we are going to read something from a part in
MergeTree
, we look at
primary.idx
data and locate ranges that could contain requested data, then look at
column.mrk
data and calculate offsets for where to start reading those ranges. Because of sparseness, excess data may be read. ClickHouse is not suitable for ... | {"source_file": "architecture.md"} | [
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-0.005878910887986422,
... |
ce99ea8d-f721-49cc-8859-1cc83a0379a4 | Replication is implemented in the
ReplicatedMergeTree
storage engine. The path in
ZooKeeper
is specified as a parameter for the storage engine. All tables with the same path in
ZooKeeper
become replicas of each other: they synchronize their data and maintain consistency. Replicas can be added and removed dynamica... | {"source_file": "architecture.md"} | [
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-0... |
efe22c35-e561-48d6-aec1-f21e8956d871 | :::note
The ClickHouse cluster consists of independent shards, and each shard consists of replicas. The cluster is
not elastic
, so after adding a new shard, data is not rebalanced between shards automatically. Instead, the cluster load is supposed to be adjusted to be uneven. This implementation gives you more contro... | {"source_file": "architecture.md"} | [
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0.04312639683485031,
... |
8295cb89-8b7f-44db-8ebf-b44cf6eca35a | description: 'Guide for building ClickHouse from source on macOS systems'
sidebar_label: 'Build on macOS for macOS'
sidebar_position: 15
slug: /development/build-osx
title: 'Build on macOS for macOS'
keywords: ['MacOS', 'Mac', 'build']
doc_type: 'guide'
How to Build ClickHouse on macOS for macOS
:::info You don't... | {"source_file": "build-osx.md"} | [
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-0.08778338134288788,
-0.04217088967561722,
... |
b232e5fc-6f52-47bd-90fe-cfd65f62621f | description: 'Guide for integrating Rust libraries into ClickHouse'
sidebar_label: 'Rust Libraries'
slug: /development/integrating_rust_libraries
title: 'Integrating Rust Libraries'
doc_type: 'guide'
Rust Libraries
Rust library integration will be described based on BLAKE3 hash-function integration.
The first s... | {"source_file": "integrating_rust_libraries.md"} | [
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0.0... |
e14c3984-1131-4994-b5b4-b9e537653616 | It is worth noting that the
#[no_mangle]
attribute and
extern "C"
are mandatory for all such methods. Without them, it will not be possible to perform a correct C/C++-compatible compilation. Moreover, they are necessary for the next step of the integration.
After writing the code for the shim methods, we need to ... | {"source_file": "integrating_rust_libraries.md"} | [
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0.06309682875871658,
0.012247... |
65718363-e0d7-4f05-b6c2-2c6f31f4ab7f | description: 'Guide to testing ClickHouse and running the test suite'
sidebar_label: 'Testing'
sidebar_position: 40
slug: /development/tests
title: 'Testing ClickHouse'
doc_type: 'guide'
Testing ClickHouse
Functional tests {#functional-tests}
Functional tests are the most simple and convenient to use.
Most of C... | {"source_file": "tests.md"} | [
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0.05546041205525398,
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0.009567741304636002,
... |
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