id stringlengths 36 36 | document stringlengths 3 3k | metadata stringlengths 23 69 | embeddings listlengths 384 384 |
|---|---|---|---|
0ce98b28-b258-415d-bb42-c5d0c0ec9451 | "rows": 17,
"statistics":
{
"elapsed": 0.173464376,
"rows_read": 0,
"bytes_read": 0
}
}
```
Format settings {#format-settings} | {"source_file": "JSONStrings.md"} | [
0.047941189259290695,
0.032633326947689056,
-0.11183501780033112,
0.03131226450204849,
-0.08304066210985184,
0.0014160892460495234,
-0.019439011812210083,
0.022873787209391594,
-0.01703198254108429,
0.06343473494052887,
-0.019358530640602112,
-0.04500260576605797,
0.011690597049891949,
-0.... |
4189a415-565e-4f1e-8cfe-442ef3f5ef16 | description: 'Documentation for the JSONCompactStringsEachRowWithNamesAndTypes format'
keywords: ['JSONCompactStringsEachRowWithNamesAndTypes']
slug: /interfaces/formats/JSONCompactStringsEachRowWithNamesAndTypes
title: 'JSONCompactStringsEachRowWithNamesAndTypes'
doc_type: 'reference'
| Input | Output | Alias |
|-... | {"source_file": "JSONCompactStringsEachRowWithNamesAndTypes.md"} | [
-0.03083072043955326,
0.014329548925161362,
-0.03820474073290825,
0.015235956758260727,
0.007642568554729223,
-0.011514711193740368,
-0.035218458622694016,
0.08183147013187408,
0.022032463923096657,
-0.0719437524676323,
0.014122681692242622,
-0.025116056203842163,
0.05135589838027954,
0.07... |
84e50b76-361a-4e0b-963f-f92fbc5e64ee | Read data using the
JSONCompactStringsEachRowWithNamesAndTypes
format:
sql
SELECT *
FROM football
FORMAT JSONCompactStringsEachRowWithNamesAndTypes
The output will be in JSON format:
json
["date", "season", "home_team", "away_team", "home_team_goals", "away_team_goals"]
["Date", "Int16", "LowCardinality(String)... | {"source_file": "JSONCompactStringsEachRowWithNamesAndTypes.md"} | [
0.057574767619371414,
-0.015655146911740303,
-0.00532038789242506,
0.012202052399516106,
0.020738888531923294,
0.029182009398937225,
0.019363459199666977,
0.05166031792759895,
-0.010413036681711674,
-0.021832602098584175,
-0.005043884739279747,
-0.0348445400595665,
0.00008733339927857742,
... |
d93d0399-1475-4a87-8cc4-3a439b22e1d8 | alias: []
description: 'Documentation for the JSONCompactColumns format'
input_format: true
keywords: ['JSONCompactColumns']
output_format: true
slug: /interfaces/formats/JSONCompactColumns
title: 'JSONCompactColumns'
doc_type: 'reference'
| Input | Output | Alias |
|-------|--------|-------|
| ✔ | ✔ | ... | {"source_file": "JSONCompactColumns.md"} | [
-0.0405922569334507,
0.03467800095677376,
-0.03304234892129898,
-0.0010346781928092241,
-0.020390426740050316,
-0.01140954252332449,
-0.024899279698729515,
0.08461062610149384,
0.049582213163375854,
-0.035013310611248016,
0.013891269452869892,
0.004676480777561665,
0.031096136197447777,
0.... |
66507d4f-7e63-452a-9de4-865301def9f2 | Reading data {#reading-data}
Read data using the
JSONCompactColumns
format:
sql
SELECT *
FROM football
FORMAT JSONCompactColumns
The output will be in JSON format:
json
[
["2022-04-30", "2022-04-30", "2022-04-30", "2022-05-02", "2022-05-02", "2022-05-07", "2022-05-07", "2022-05-07", "2022-05-07", "2022-05... | {"source_file": "JSONCompactColumns.md"} | [
0.009301013313233852,
-0.031335823237895966,
-0.005826131906360388,
0.0005445829592645168,
-0.010370641015470028,
0.03848287835717201,
0.03378209099173546,
0.03655015304684639,
-0.019539762288331985,
-0.002123518381267786,
-0.0012990994146093726,
-0.012120221741497517,
-0.0035762181505560875... |
d3f9b06d-6b9b-4113-a669-5caa82be6ce1 | alias: []
description: 'Documentation for the Avro format'
input_format: true
keywords: ['Avro']
output_format: true
slug: /interfaces/formats/Avro
title: 'Avro'
doc_type: 'reference'
import DataTypeMapping from './_snippets/data-types-matching.md'
| Input | Output | Alias |
|-------|--------|-------|
| ✔ | ✔... | {"source_file": "Avro.md"} | [
0.04357672855257988,
-0.04371758922934532,
-0.06267400830984116,
-0.03146364167332649,
-0.012688903138041496,
-0.004190422128885984,
0.025749867781996727,
0.06696341931819916,
-0.029333151876926422,
0.01050236914306879,
0.0030550737865269184,
-0.0611189529299736,
-0.03314445912837982,
0.02... |
02216027-28f8-488c-9f26-fb33ed63ab2b | While importing data, when a field is not found in the schema and setting
input_format_avro_allow_missing_fields
is enabled, the default value will be used instead of throwing an error.
Writing Avro data {#writing-avro-data}
To write data from a ClickHouse table into an Avro file:
bash
$ clickhouse-client --que... | {"source_file": "Avro.md"} | [
0.029858993366360664,
-0.050816670060157776,
-0.14482936263084412,
0.005479251500219107,
0.026309488341212273,
0.0024030867498368025,
-0.011644992977380753,
-0.03895394876599312,
-0.026634415611624718,
0.04092520847916603,
0.022360118106007576,
-0.048766396939754486,
0.016311265528202057,
... |
6b8730a3-19b7-4484-a07d-0cfd52c57229 | ```sql
DESCRIBE url('https://clickhouse-public-datasets.s3.eu-central-1.amazonaws.com/hits.avro','Avro);
┌─name───────────────────────┬─type────────────┬─default_type─┬─default_expression─┬─comment─┬─codec_expression─┬─ttl_expression─┐
│ WatchID │ Int64 │ │ ... | {"source_file": "Avro.md"} | [
0.05654896795749664,
-0.09716446697711945,
-0.05489453673362732,
0.0425332672894001,
0.038833137601614,
-0.037218235433101654,
0.010292300023138523,
-0.06335128098726273,
-0.012147990986704826,
0.0675756186246872,
0.016103776171803474,
-0.07723362743854523,
0.03569736331701279,
-0.09397272... |
5bb700e6-9d5b-4aad-83e4-543d68f087bd | alias: []
description: 'Documentation for the AvroConfluent format'
input_format: true
keywords: ['AvroConfluent']
output_format: false
slug: /interfaces/formats/AvroConfluent
title: 'AvroConfluent'
doc_type: 'reference'
import DataTypesMatching from './_snippets/data-types-matching.md'
| Input | Output | Alias |... | {"source_file": "AvroConfluent.md"} | [
-0.019558757543563843,
-0.0604296550154686,
-0.10649111866950989,
-0.03617514669895172,
-0.023513127118349075,
-0.01700807921588421,
0.016124222427606583,
0.019034067168831825,
0.012075664475560188,
0.020735803991556168,
-0.00994251761585474,
-0.058543961495161057,
-0.03622861206531525,
-0... |
bbe756f9-dc91-49af-a092-6321d50daa4b | Troubleshooting {#troubleshooting}
To monitor ingestion progress and debug errors with the Kafka consumer, you can query the
system.kafka_consumers
system table
. If your deployment has multiple replicas (e.g., ClickHouse Cloud), you must use the
clusterAllReplicas
table function.
sql
SELECT * FROM clusterAllRe... | {"source_file": "AvroConfluent.md"} | [
0.06657124310731888,
-0.08652806282043457,
-0.050335731357336044,
0.043226975947618484,
0.0010486328974366188,
-0.018767377361655235,
-0.042212601751089096,
-0.04187259078025818,
-0.009346861392259598,
0.059073470532894135,
0.011440379545092583,
-0.12414466589689255,
-0.027658239006996155,
... |
7f5e8110-0be8-4b00-96e2-b18e1b0ca904 | alias: []
description: 'Documentation for the CSVWithNamesAndTypes format'
input_format: true
keywords: ['CSVWithNamesAndTypes']
output_format: true
slug: /interfaces/formats/CSVWithNamesAndTypes
title: 'CSVWithNamesAndTypes'
doc_type: 'reference'
| Input | Output | Alias |
|-------|--------|-------|
| ✔ | ✔ ... | {"source_file": "CSVWithNamesAndTypes.md"} | [
-0.03579428046941757,
0.03562333807349205,
-0.05977243930101395,
0.01972321979701519,
0.041646238416433334,
-0.027030207216739655,
0.05461593717336655,
0.03349374607205391,
0.02397521771490574,
0.006494744680821896,
0.0016965289833024144,
-0.07844153046607971,
0.1099371388554573,
-0.002168... |
e14d8f7f-4610-46ff-9586-2abc1007ba24 | Read data using the
CSVWithNamesAndTypes
format:
sql
SELECT *
FROM football
FORMAT CSVWithNamesAndTypes
The output will be a CSV with a two header rows for column names and types:
csv
"date","season","home_team","away_team","home_team_goals","away_team_goals"
"Date","Int16","LowCardinality(String)","LowCardinal... | {"source_file": "CSVWithNamesAndTypes.md"} | [
0.0700487419962883,
0.0035050080623477697,
-0.06651972234249115,
0.03031042031943798,
0.05863025039434433,
0.04652600362896919,
0.023963266983628273,
0.03816170245409012,
-0.006130460184067488,
0.021753260865807533,
-0.009910441935062408,
-0.10961847007274628,
0.04541918635368347,
-0.01552... |
d7fee0c7-030c-4d8c-b4b5-4ab2187a68cb | alias: []
description: 'Documentation for the CSV format'
input_format: true
keywords: ['CSV']
output_format: true
slug: /interfaces/formats/CSV
title: 'CSV'
doc_type: 'reference'
Description {#description}
Comma Separated Values format (
RFC
).
When formatting, rows are enclosed in double quotes. A double quote ... | {"source_file": "CSV.md"} | [
-0.003106512362137437,
0.04977600276470184,
-0.03380446508526802,
-0.016768330708146095,
-0.01494180504232645,
-0.0011048789601773024,
0.03355802223086357,
0.020316945388913155,
0.07032322138547897,
0.03256536275148392,
-0.03536951541900635,
-0.05803614854812622,
0.07517368346452713,
-0.03... |
7b553f4a-f4c7-4cf3-b32f-9dfdd2cb64b7 | Example usage {#example-usage}
Format settings {#format-settings}
| Setting | Description ... | {"source_file": "CSV.md"} | [
0.015382125042378902,
0.02221941389143467,
-0.057884473353624344,
0.05155569314956665,
-0.08083784580230713,
0.09154631197452545,
0.004420081153512001,
0.0776667520403862,
0.003745294874534011,
-0.011943661607801914,
0.036205265671014786,
-0.025225363671779633,
0.01674126647412777,
-0.0495... |
3f542891-00b1-439b-8486-b5a8701255e1 | |
input_format_csv_empty_as_default
| treat empty fields in CSV input as default values. |
true
| For complex default expressions,
input_format_defaults_for_omitted_fields
must be enabled too. |
|
input_fo... | {"source_file": "CSV.md"} | [
0.04208246245980263,
0.03906084969639778,
-0.039419084787368774,
0.02002902701497078,
-0.017162494361400604,
-0.0007354990229941905,
-0.08521930128335953,
-0.003766648005694151,
-0.015682702884078026,
0.03235260769724846,
0.017968622967600822,
-0.08403527736663818,
0.06208124756813049,
-0.... |
8abd2d4e-2dbe-46ea-97bc-bec332c4d163 | |
input_format_csv_skip_trailing_empty_lines
| skip trailing empty lines at the end of data. |
false
| ... | {"source_file": "CSV.md"} | [
0.013597995042800903,
0.04165821149945259,
-0.07419677823781967,
0.027979927137494087,
-0.034316811710596085,
-0.010484392754733562,
-0.05736544355750084,
0.022080469876527786,
-0.028121342882514,
0.017501477152109146,
0.04551549255847931,
-0.07295884191989899,
0.05963817611336708,
-0.0531... |
5f8eef8f-3cde-44d1-aad7-34768f8377f2 | alias: []
description: 'Documentation for the CSV format'
input_format: true
keywords: ['CSVWithNames']
output_format: true
slug: /interfaces/formats/CSVWithNames
title: 'CSVWithNames'
doc_type: 'reference'
| Input | Output | Alias |
|-------|--------|-------|
| ✔ | ✔ | |
Description {#description}... | {"source_file": "CSVWithNames.md"} | [
-0.03620915487408638,
0.04199904948472977,
-0.07722250372171402,
0.011502581648528576,
0.03565335273742676,
-0.016604728996753693,
0.03050547093153,
0.041138906031847,
0.02488892339169979,
-0.00007409212412312627,
0.012779229320585728,
-0.07902421057224274,
0.10103950649499893,
-0.02109524... |
10cd033e-7726-4467-9649-00a12577435b | Reading data {#reading-data}
Read data using the
CSVWithNames
format:
sql
SELECT *
FROM football
FORMAT CSVWithNames
The output will be a CSV with a single header row:
csv
"date","season","home_team","away_team","home_team_goals","away_team_goals"
"2022-04-30",2021,"Sutton United","Bradford City",1,4
"2022-04... | {"source_file": "CSVWithNames.md"} | [
0.04872334003448486,
0.011119124479591846,
-0.04635116085410118,
0.02888874150812626,
0.07296832650899887,
0.04065825045108795,
0.02692205272614956,
0.0041146427392959595,
-0.010785926133394241,
0.03964579105377197,
-0.009020661003887653,
-0.09776542335748672,
0.055971063673496246,
-0.0366... |
94d46902-68a9-47c4-bce9-22dac7eb4d21 | alias: []
description: 'Documentation for the TSKV format'
input_format: true
keywords: ['TSKV']
output_format: true
slug: /interfaces/formats/TSKV
title: 'TSKV'
doc_type: 'reference'
| Input | Output | Alias |
|-------|--------|-------|
| ✔ | ✔ | |
Description {#description}
Similar to the
TabS... | {"source_file": "TSKV.md"} | [
-0.015885580331087112,
0.06555791944265366,
0.025718603283166885,
0.04154849424958229,
-0.01566539704799652,
-0.017842456698417664,
0.08265774697065353,
0.07043655961751938,
0.05595609173178673,
0.010740905068814754,
-0.007885739207267761,
-0.08463167399168015,
0.11781919002532959,
0.00182... |
9cd736f0-d018-402a-a157-5996ece43f37 | NULL
is formatted as
\N
.
Example usage {#example-usage}
Inserting data {#inserting-data}
Using the following tskv file, named as
football.tskv
:
tsv
date=2022-04-30 season=2021 home_team=Sutton United away_team=Bradford City home_team_goals=1 away_team_goals=4
date=2022-04-30 season=2021 home_... | {"source_file": "TSKV.md"} | [
0.0325501374900341,
0.02504613995552063,
-0.07744547724723816,
0.01008068211376667,
0.032826296985149384,
0.030976371839642525,
-0.001703549176454544,
0.033390164375305176,
-0.04790377989411354,
0.05467492714524269,
0.07896255701780319,
-0.1280367076396942,
0.05439041927456856,
-0.07002448... |
1ad953ee-c610-4b82-ba9f-4e31208379ef | Read data using the
TSKV
format:
sql
SELECT *
FROM football
FORMAT TSKV
The output will be in tab separated format with two header rows for column names and types:
tsv
date=2022-04-30 season=2021 home_team=Sutton United away_team=Bradford City home_team_goals=1 away_team_goals=4
date=2022-04-30 season... | {"source_file": "TSKV.md"} | [
0.06526432931423187,
-0.023828642442822456,
-0.049896981567144394,
0.03720014542341232,
0.0693860575556755,
0.048161622136831284,
0.019562626257538795,
0.00921114906668663,
-0.04006519913673401,
0.013391576707363129,
0.06197225674986839,
-0.11053962260484695,
0.048570603132247925,
-0.04489... |
74f5d2ca-b3e1-4ae8-8cac-21db28520a6a | alias: ['TSVRaw', 'Raw']
description: 'Documentation for the TabSeparatedRaw format'
input_format: true
keywords: ['TabSeparatedRaw']
output_format: true
slug: /interfaces/formats/TabSeparatedRaw
title: 'TabSeparatedRaw'
doc_type: 'reference'
| Input | Output | Alias |
|-------|--------|-----------------|... | {"source_file": "TabSeparatedRaw.md"} | [
-0.040032874792814255,
-0.002726203529164195,
-0.006248161196708679,
-0.017442340031266212,
-0.020908545702695847,
-0.007889344356954098,
0.015577474609017372,
0.06820666044950485,
-0.023485632613301277,
0.05468008667230606,
-0.01608917862176895,
-0.053411029279232025,
0.04552673175930977,
... |
20f4efec-6c8d-4840-9cc8-9d67e4ca5eec | Reading data {#reading-data}
Read data using the
TabSeparatedRaw
format:
sql
SELECT *
FROM football
FORMAT TabSeparatedRaw
The output will be in tab separated format:
tsv
2022-04-30 2021 Sutton United Bradford City 1 4
2022-04-30 2021 Swindon Town Barrow 2 1
2022-04-30 ... | {"source_file": "TabSeparatedRaw.md"} | [
0.06875907629728317,
-0.07596739381551743,
-0.02583645097911358,
0.005053529050201178,
0.023714367300271988,
0.03548046946525574,
0.04172297194600105,
-0.013808182440698147,
-0.08768730610609055,
0.05574776977300644,
0.034308504313230515,
-0.05458635836839676,
-0.0015373352216556668,
-0.00... |
7911b509-c9f9-4e0f-8bac-1c34f1853774 | alias: ['TSVRawWithNamesAndTypes', 'RawWithNamesAndTypes']
description: 'Documentation for the TabSeparatedRawWithNamesAndTypes format'
input_format: true
keywords: ['TabSeparatedRawWithNamesAndTypes', 'TSVRawWithNamesAndTypes', 'RawWithNamesAndTypes']
output_format: true
slug: /interfaces/formats/TabSeparatedRawWithNa... | {"source_file": "TabSeparatedRawWithNamesAndTypes.md"} | [
-0.011334346607327461,
0.0123517494648695,
0.01828029751777649,
-0.00463147833943367,
-0.02074591815471649,
-0.03194637596607208,
0.08145622164011002,
0.06456168740987778,
0.011663013137876987,
-0.004193565342575312,
0.01116653997451067,
-0.08280211687088013,
0.08312739431858063,
0.0116994... |
9e72a448-a51a-48d0-b694-5d782eb20af1 | sql
SELECT *
FROM football
FORMAT TabSeparatedRawWithNamesAndTypes
The output will be in tab separated format with two header rows for column names and types:
tsv
date season home_team away_team home_team_goals away_team_goals
Date Int16 LowCardinality(String) LowCardinality(String) Int8 I... | {"source_file": "TabSeparatedRawWithNamesAndTypes.md"} | [
0.060387320816516876,
-0.024043427780270576,
-0.03473489731550217,
0.017809929326176643,
0.07471407204866409,
0.06393624097108841,
0.03660181537270546,
0.016462815925478935,
-0.0772114172577858,
0.023171069100499153,
0.004148044623434544,
-0.11119549721479416,
0.005580902099609375,
-0.0011... |
9402289e-9ba8-4939-8c3e-f5e125235ca4 | alias: ['TSVRawWithNames', 'RawWithNames']
description: 'Documentation for the TabSeparatedRawWithNames format'
input_format: true
keywords: ['TabSeparatedRawWithNames', 'TSVRawWithNames', 'RawWithNames']
output_format: true
slug: /interfaces/formats/TabSeparatedRawWithNames
title: 'TabSeparatedRawWithNames'
doc_type: ... | {"source_file": "TabSeparatedRawWithNames.md"} | [
-0.040949247777462006,
0.0034583339001983404,
0.013943737372756004,
0.017276763916015625,
-0.03769782930612564,
-0.002394260372966528,
0.062013618648052216,
0.04281191527843475,
-0.016619155183434486,
0.01808580569922924,
-0.012277774512767792,
-0.07242196053266525,
0.08908228576183319,
0.... |
3ba4906b-1362-4f38-9bcf-ce08343953b3 | Read data using the
TabSeparatedRawWithNames
format:
sql
SELECT *
FROM football
FORMAT TabSeparatedRawWithNames
The output will be in tab separated format with a single line header:
tsv
date season home_team away_team home_team_goals away_team_goals
2022-04-30 2021 Sutton United Bradfo... | {"source_file": "TabSeparatedRawWithNames.md"} | [
0.044068142771720886,
-0.046361614018678665,
-0.04523267224431038,
0.014500441960990429,
0.060488440096378326,
0.05989334359765053,
0.026997268199920654,
0.009820663370192051,
-0.08145754039287567,
0.03146525099873543,
0.01268918439745903,
-0.09036467224359512,
0.014895276166498661,
-0.016... |
8468d0b1-8f9a-450e-a755-c031d00877a6 | description: 'Documentation for the TabSeparatedWithNamesAndTypes format'
keywords: ['TabSeparatedWithNamesAndTypes']
slug: /interfaces/formats/TabSeparatedWithNamesAndTypes
title: 'TabSeparatedWithNamesAndTypes'
doc_type: 'reference'
| Input | Output | Alias |
|-------|----... | {"source_file": "TabSeparatedWithNamesAndTypes.md"} | [
-0.00042627129005268216,
-0.006153352092951536,
-0.036622583866119385,
0.010646515525877476,
-0.024505285546183586,
-0.042332399636507034,
0.08594415336847305,
0.03355974331498146,
-0.01271266583353281,
0.030008893460035324,
0.026510857045650482,
-0.08056634664535522,
0.100865438580513,
-0... |
400aa7af-2457-4d87-83b5-8c383723bce0 | sql
SELECT *
FROM football
FORMAT TabSeparatedWithNamesAndTypes
The output will be in tab separated format with two header rows for column names and types:
tsv
date season home_team away_team home_team_goals away_team_goals
Date Int16 LowCardinality(String) LowCardinality(String) Int8 Int8... | {"source_file": "TabSeparatedWithNamesAndTypes.md"} | [
0.057199627161026,
-0.025777965784072876,
-0.036801211535930634,
0.013192855753004551,
0.0796302855014801,
0.06403305381536484,
0.03527793660759926,
0.017963655292987823,
-0.08188805729150772,
0.02770264446735382,
0.0037125786766409874,
-0.11160789430141449,
0.011124377138912678,
0.0023898... |
3527f739-5080-442b-bf8a-30eb1723c2b5 | alias: ['TSV']
description: 'Documentation for the TSV format'
input_format: true
keywords: ['TabSeparated', 'TSV']
output_format: true
slug: /interfaces/formats/TabSeparated
title: 'TabSeparated'
doc_type: 'reference'
| Input | Output | Alias |
|-------|--------|--------|
| ✔ | ✔ |
TSV
|
Description... | {"source_file": "TabSeparated.md"} | [
-0.04627855494618416,
0.0183687936514616,
-0.06303457170724869,
-0.017124991863965988,
-0.05852947011590004,
-0.029556766152381897,
0.06359398365020752,
0.09662698209285736,
0.01544755045324564,
0.056883636862039566,
-0.0074553461745381355,
0.02340523898601532,
0.06745141744613647,
0.01616... |
32bf70c1-2fa9-46d6-9aa8-69e65d23247b | Dates are written in YYYY-MM-DD format and parsed in the same format, but with any characters as separators.
Dates with times are written in the format
YYYY-MM-DD hh:mm:ss
and parsed in the same format, but with any characters as separators.
This all occurs in the system time zone at the time the client or server sta... | {"source_file": "TabSeparated.md"} | [
-0.04149565100669861,
0.01965857855975628,
0.03632159158587456,
0.008292803540825844,
0.02113375812768936,
-0.05822728946805,
-0.040916558355093,
0.024901511147618294,
0.050318147987127304,
-0.0011667273938655853,
-0.0027065682224929333,
-0.0007879917393438518,
-0.03125894442200661,
-0.007... |
ee08453b-5914-4f60-ba79-0512601f908c | sql
INSERT INTO nestedt VALUES ( 1, [1], ['a'])
sql
SELECT * FROM nestedt FORMAT TSV
response
1 [1] ['a']
Example usage {#example-usage}
Inserting data {#inserting-data}
Using the following tsv file, named as
football.tsv
:
tsv
2022-04-30 2021 Sutton United Bradford City 1 4
2022-04-3... | {"source_file": "TabSeparated.md"} | [
0.002422529039904475,
-0.06680313497781754,
0.003225787775591016,
0.05058065429329872,
-0.015219831839203835,
0.009129675105214119,
0.031050102785229683,
-0.007912431843578815,
-0.07190753519535065,
0.09977114945650101,
0.037427112460136414,
-0.06163644418120384,
0.012591646984219551,
0.01... |
5c8685a7-e039-4037-9e09-f438bee22f47 | | Setting | Description ... | {"source_file": "TabSeparated.md"} | [
0.02628874033689499,
0.04149900749325752,
-0.007149931043386459,
-0.0076652951538562775,
-0.06222875788807869,
0.06969451159238815,
0.012696566060185432,
0.046962615102529526,
0.028385523706674576,
-0.05742150917649269,
0.02139538899064064,
-0.04820146784186363,
-0.025498265400528908,
-0.0... |
517ec869-06a1-451c-be94-ecc41bc86f0e | false
|
|
input_format_tsv_skip_first_lines
| skip specified number of lines at the beginning of data. ... | {"source_file": "TabSeparated.md"} | [
-0.0012712040916085243,
0.03991234675049782,
-0.04616745561361313,
0.03599485754966736,
0.005875322036445141,
-0.006623037159442902,
-0.05126281455159187,
-0.018228638917207718,
-0.04592665284872055,
0.05612355098128319,
0.021970689296722412,
-0.024453358724713326,
0.01555907353758812,
-0.... |
d2c212bd-e83f-4562-9fcd-f6df92413b01 | alias: ['TSVWithNames']
description: 'Documentation for the TabSeparatedWithNames format'
input_format: true
keywords: ['TabSeparatedWithNames']
output_format: true
slug: /interfaces/formats/TabSeparatedWithNames
title: 'TabSeparatedWithNames'
doc_type: 'reference'
| Input | Output | Alias ... | {"source_file": "TabSeparatedWithNames.md"} | [
0.0013774795224890113,
-0.009185148403048515,
-0.016961779445409775,
-0.00660022022202611,
-0.05300562456250191,
-0.03907187283039093,
0.08044907450675964,
0.07149823755025864,
-0.029439853504300117,
0.013480877503752708,
0.008219714276492596,
-0.05832737684249878,
0.07235948741436005,
0.0... |
0c79eabf-eeaf-462f-860d-a11741c239ee | Reading data {#reading-data}
Read data using the
TabSeparatedWithNames
format:
sql
SELECT *
FROM football
FORMAT TabSeparatedWithNames
The output will be in tab separated format:
tsv
date season home_team away_team home_team_goals away_team_goals
2022-04-30 2021 Sutton United Bradfor... | {"source_file": "TabSeparatedWithNames.md"} | [
0.059909649193286896,
-0.05814942717552185,
-0.036706071346998215,
0.015678146854043007,
0.047190118581056595,
0.0441107302904129,
0.06049654260277748,
-0.0012477573473006487,
-0.08076553046703339,
0.039775799959897995,
0.035277679562568665,
-0.05948464572429657,
0.010309221222996712,
-0.0... |
af93c8a1-fd16-4fcd-8fc7-fe80faa2e9fd | alias: []
description: 'Documentation for the PrettyCompactNoEscapesMonoBlock format'
input_format: false
keywords: ['PrettyCompactNoEscapesMonoBlock']
output_format: true
slug: /interfaces/formats/PrettyCompactNoEscapesMonoBlock
title: 'PrettyCompactNoEscapesMonoBlock'
doc_type: 'reference'
import PrettyFormatSett... | {"source_file": "PrettyCompactNoEscapesMonoBlock.md"} | [
-0.008328915573656559,
0.014229631051421165,
0.015618291683495045,
0.004716869909316301,
0.002828421304002404,
-0.05665718764066696,
-0.03096453659236431,
0.049136750400066376,
-0.022931179031729698,
-0.0062127551063895226,
-0.025380350649356842,
-0.02492617629468441,
0.07026001065969467,
... |
496acff9-3d53-4faa-84a2-bb0a9ee3da1a | alias: []
description: 'Documentation for the Pretty format'
input_format: false
keywords: ['Pretty']
output_format: true
slug: /interfaces/formats/Pretty
title: 'Pretty'
doc_type: 'reference'
import PrettyFormatSettings from './_snippets/common-pretty-format-settings.md';
| Input | Output | Alias |
|-------|---... | {"source_file": "Pretty.md"} | [
0.0009966525249183178,
0.018960578367114067,
-0.005242851562798023,
0.036685798317193985,
-0.04080525040626526,
-0.034325603395700455,
0.006384940352290869,
0.07605091482400894,
-0.0036480892449617386,
-0.013845491223037243,
-0.03200754150748253,
-0.024002879858016968,
0.09623480588197708,
... |
311572ba-487d-4053-b5d9-0df306ccddd0 | alias: []
description: 'Documentation for the PrettyCompactMonoBlock format'
input_format: false
keywords: ['PrettyCompactMonoBlock']
output_format: true
slug: /interfaces/formats/PrettyCompactMonoBlock
title: 'PrettyCompactMonoBlock'
doc_type: 'reference'
import PrettyFormatSettings from './_snippets/common-pretty... | {"source_file": "PrettyCompactMonoBlock.md"} | [
-0.009457283653318882,
-0.00304250861518085,
0.0226434413343668,
0.02084925025701523,
0.004364960826933384,
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-0.051883306354284286,
0.08534801751375198,
-0.02516569197177887,
-0.012442131526768208,
-0.02632131800055504,
-0.012907085008919239,
0.05030447617173195,
-0.0... |
8675ecc4-3770-4f9e-9fc0-cf75d9ae8d4a | alias: []
description: 'Documentation for the PrettyMonoBlock format'
input_format: false
keywords: ['PrettyMonoBlock']
output_format: true
slug: /interfaces/formats/PrettyMonoBlock
title: 'PrettyMonoBlock'
doc_type: 'reference'
import PrettyFormatSettings from './_snippets/common-pretty-format-settings.md';
| In... | {"source_file": "PrettyMonoBlock.md"} | [
-0.014827012084424496,
0.006744987331330776,
0.014489860273897648,
0.021736716851592064,
0.0055744843557477,
-0.031236303970217705,
-0.029655974358320236,
0.08802350610494614,
-0.01128129381686449,
-0.0033769854344427586,
-0.03217853978276253,
0.0009485126356594265,
0.04382243752479553,
-0... |
1fcff14c-ebc5-48f5-bb6e-f7e5c6ab6aef | alias: []
description: 'Documentation for the PrettySpaceNoEscapes format'
input_format: false
keywords: ['PrettySpaceNoEscapes']
output_format: true
slug: /interfaces/formats/PrettySpaceNoEscapes
title: 'PrettySpaceNoEscapes'
doc_type: 'reference'
import PrettyFormatSettings from './_snippets/common-pretty-format-... | {"source_file": "PrettySpaceNoEscapes.md"} | [
-0.04544364660978317,
0.029572119936347008,
0.03350704908370972,
0.022588614374399185,
-0.0017883427208289504,
-0.009781851433217525,
0.01712227612733841,
0.03963339328765869,
0.014602124691009521,
-0.014953204430639744,
-0.021262751892209053,
-0.028205055743455887,
0.05888878181576729,
-0... |
492f3415-e83e-4bfd-a099-9eb3ec479234 | alias: []
description: 'Documentation for the PrettySpaceNoEscapesMonoBlock format'
input_format: false
keywords: ['PrettySpaceNoEscapesMonoBlock']
output_format: true
slug: /interfaces/formats/PrettySpaceNoEscapesMonoBlock
title: 'PrettySpaceNoEscapesMonoBlock'
doc_type: 'reference'
import PrettyFormatSettings fro... | {"source_file": "PrettySpaceNoEscapesMonoBlock.md"} | [
-0.014837626367807388,
0.012800347059965134,
0.026486104354262352,
0.00984257087111473,
-0.004992951173335314,
-0.051966387778520584,
-0.020175892859697342,
0.042375724762678146,
-0.025384200736880302,
0.004452777560800314,
-0.02374083921313286,
-0.021398130804300308,
0.06532323360443115,
... |
f383f864-87a2-401d-9df5-49088c7751b1 | alias: []
description: 'Documentation for the PrettySpace format'
input_format: false
keywords: ['PrettySpace']
output_format: true
slug: /interfaces/formats/PrettySpace
title: 'PrettySpace'
doc_type: 'reference'
import PrettyFormatSettings from './_snippets/common-pretty-format-settings.md';
| Input | Output | ... | {"source_file": "PrettySpace.md"} | [
-0.004677401389926672,
0.015515544451773167,
-0.0042435647919774055,
0.03351712226867676,
0.0065485285595059395,
-0.006618699058890343,
-0.025271132588386536,
0.1104864627122879,
0.020361317321658134,
0.03031930886209011,
-0.023144373670220375,
-0.00944340880960226,
0.05429678037762642,
-0... |
3ea000be-4e11-41e6-a0d8-621b79664dd0 | alias: []
description: 'Documentation for the PrettyCompact format'
input_format: false
keywords: ['PrettyCompact']
output_format: true
slug: /interfaces/formats/PrettyCompact
title: 'PrettyCompact'
doc_type: 'reference'
import PrettyFormatSettings from './_snippets/common-pretty-format-settings.md';
| Input | Ou... | {"source_file": "PrettyCompact.md"} | [
-0.004339170642197132,
0.015096728689968586,
-0.002851419383659959,
0.03995310515165329,
0.0007692722720094025,
-0.008101952262222767,
-0.0282010305672884,
0.10673651099205017,
0.001653054030612111,
0.011582992039620876,
-0.01278271246701479,
-0.015794379636645317,
0.06559555232524872,
0.0... |
2fa2cbdb-345d-41b7-afde-899b85d690a3 | alias: []
description: 'Documentation for the PrettySpaceMonoBlock format'
input_format: false
keywords: ['PrettySpaceMonoBlock']
output_format: true
slug: /interfaces/formats/PrettySpaceMonoBlock
title: 'PrettySpaceMonoBlock'
doc_type: 'reference'
import PrettyFormatSettings from './_snippets/common-pretty-format-... | {"source_file": "PrettySpaceMonoBlock.md"} | [
-0.036063745617866516,
-0.009838946163654327,
0.007894928567111492,
0.022999823093414307,
-0.002595603233203292,
-0.020425202324986458,
-0.01784646138548851,
0.08153865486383438,
0.000021796849978272803,
-0.005761397536844015,
-0.022513385862112045,
-0.00818718783557415,
0.04699794948101044,... |
732a97d4-ba4c-4860-8d44-52bc3ea7e05d | alias: []
description: 'Documentation for the PrettyNoEscapes format'
input_format: false
keywords: ['PrettyNoEscapes']
output_format: true
slug: /interfaces/formats/PrettyNoEscapes
title: 'PrettyNoEscapes'
doc_type: 'reference'
import PrettyFormatSettings from './_snippets/common-pretty-format-settings.md';
| In... | {"source_file": "PrettyNoEscapes.md"} | [
-0.011921992525458336,
0.05782032385468483,
0.017630940303206444,
0.013486583717167377,
0.012098447419703007,
-0.01624109596014023,
0.036162540316581726,
0.020284421741962433,
0.04134499281644821,
-0.009654042311012745,
-0.03579209744930267,
-0.04249754548072815,
0.03626599535346031,
0.001... |
8d6d0842-35fa-4c50-b104-d0b68852d1d2 | alias: []
description: 'Documentation for the PrettyNoEscapesMonoBlock format'
input_format: false
keywords: ['PrettyNoEscapesMonoBlock']
output_format: true
slug: /interfaces/formats/PrettyNoEscapesMonoBlock
title: 'PrettyNoEscapesMonoBlock'
doc_type: 'reference'
import PrettyFormatSettings from './_snippets/commo... | {"source_file": "PrettyNoEscapesMonoBlock.md"} | [
-0.0008071615593507886,
0.02695278823375702,
0.03542238101363182,
0.003386344760656357,
0.008828903548419476,
-0.06237891688942909,
-0.02438017539680004,
0.0413084551692009,
-0.03392990678548813,
0.004379656631499529,
-0.027834005653858185,
-0.014648910611867905,
0.0639914944767952,
-0.033... |
5e715482-464a-4aa0-84a5-f2a54e7cb37d | alias: []
description: 'Documentation for the PrettyCompactNoEscapes format'
input_format: false
keywords: ['PrettyCompactNoEscapes']
output_format: true
slug: /interfaces/formats/PrettyCompactNoEscapes
title: 'PrettyCompactNoEscapes'
doc_type: 'reference'
import PrettyFormatSettings from './_snippets/common-pretty... | {"source_file": "PrettyCompactNoEscapes.md"} | [
-0.03135557845234871,
0.03198486566543579,
0.03311162814497948,
0.029575064778327942,
0.011147935874760151,
-0.021965330466628075,
-0.007382137235254049,
0.0455346442759037,
-0.010601463727653027,
-0.028775129467248917,
-0.028423959389328957,
-0.03112909197807312,
0.06303036212921143,
0.00... |
473a3b5b-8129-44d5-ad8c-5fdc027c0935 | alias: []
description: 'Documentation for the Parquet format'
input_format: true
keywords: ['Parquet']
output_format: true
slug: /interfaces/formats/Parquet
title: 'Parquet'
doc_type: 'reference'
| Input | Output | Alias |
|-------|--------|-------|
| ✔ | ✔ | |
Description {#description}
Apache P... | {"source_file": "Parquet.md"} | [
-0.044845011085271835,
0.010595777072012424,
-0.031986940652132034,
-0.03956577926874161,
-0.10008854418992996,
-0.05718689784407616,
0.005837823264300823,
0.020936517044901848,
0.010891390033066273,
0.03439551591873169,
-0.012672504410147667,
-0.018896332010626793,
0.03863631188869476,
-0... |
15c75a96-bd0e-4636-903c-33d21d9b36d9 | For some Parquet types there's no closely matching ClickHouse type. We read them as follows:
*
TIME
(time of day) is read as a timestamp. E.g.
10:23:13.000
becomes
1970-01-01 10:23:13.000
.
*
TIMESTAMP
/
TIME
with
isAdjustedToUTC=false
is a local wall-clock time (year, month, day, hour, minute, second and subs... | {"source_file": "Parquet.md"} | [
-0.0138777457177639,
-0.029357898980379105,
-0.019417654722929,
-0.018208812922239304,
-0.038980722427368164,
-0.06156264245510101,
0.012777681462466717,
-0.001180311432108283,
-0.015489550307393074,
-0.04620281234383583,
-0.01460597850382328,
-0.04870789125561714,
-0.04059809073805809,
0.... |
e0182724-520e-4252-8720-c0e222947a41 | Example usage {#example-usage}
Inserting data {#inserting-data}
Using a Parquet file with the following data, named as
football.parquet
:
text
┌───────date─┬─season─┬─home_team─────────────┬─away_team───────────┬─home_team_goals─┬─away_team_goals─┐
1. │ 2022-04-30 │ 2021 │ Sutton United │ Bradford... | {"source_file": "Parquet.md"} | [
0.010581071488559246,
-0.002932063303887844,
-0.03805087134242058,
-0.05981333181262016,
-0.01556728221476078,
-0.020399508997797966,
0.07401208579540253,
-0.008298424072563648,
-0.04434164986014366,
0.0561697781085968,
0.04870208352804184,
-0.016939764842391014,
0.013462279923260212,
-0.0... |
6babf3bc-bf62-4889-a9e5-e94754e85615 | | Setting | Description | Default ... | {"source_file": "Parquet.md"} | [
0.027272013947367668,
0.04274405911564827,
-0.006601972505450249,
-0.007452395744621754,
-0.060984302312135696,
0.0718095675110817,
0.012279381044209003,
0.047188855707645416,
0.028277188539505005,
-0.05718793720006943,
0.021592915058135986,
-0.04840480908751488,
-0.0257643423974514,
-0.05... |
f56b22b5-c9b6-4163-8f49-912e0382b056 | 8192
|
|
input_format_parquet_enable_row_group_prefetch
| Enable row group prefetching during parquet parsing. Currently, only single-threaded parsing can prefetch. ... | {"source_file": "Parquet.md"} | [
-0.02660740725696087,
-0.04386972635984421,
-0.06866233050823212,
-0.07068588584661484,
-0.07296989858150482,
-0.06111002713441849,
-0.08316027373075485,
0.02008645236492157,
-0.0714053064584732,
0.019700461998581886,
-0.0302182137966156,
-0.02175631746649742,
-0.03323918208479881,
-0.0335... |
dac0f653-af7e-4a77-a8f3-1ecb8079cb5e | 1
|
|
output_format_parquet_version
| Parquet format version for output format. Supported versions: 1.0, 2.4, 2.6 and 2.latest (default) ... | {"source_file": "Parquet.md"} | [
-0.04039021581411362,
-0.02334483340382576,
-0.029711226001381874,
-0.067762590944767,
-0.03043161891400814,
-0.04262847080826759,
-0.015433412976562977,
0.038128774613142014,
-0.06209950894117355,
-0.029502328485250473,
-0.010396470315754414,
0.04413227364420891,
-0.019764095544815063,
-0... |
9904a512-b26f-4224-ae42-2246c25478c7 | 0
|
|
input_format_parquet_local_time_as_utc
| true | Determines the data type used by schema inference for Parquet timestamps with isAdjustedToUTC=false. If true: DateTime64(..., 'UTC'), if false: DateTime64(...). Neither behavior is fully correct as ClickHouse doesn't have a data type for local wall-clock ... | {"source_file": "Parquet.md"} | [
-0.008842099457979202,
0.03044760785996914,
-0.015871774405241013,
-0.06347355991601944,
-0.0072352709248661995,
-0.012331880629062653,
-0.028918521478772163,
-0.017204592004418373,
-0.016211459413170815,
-0.012033293023705482,
0.03267428278923035,
-0.06904683262109756,
-0.04353195056319237,... |
7f49021d-3b7f-4dcf-ab78-cba590acc4b9 | description: 'Documentation for the ParquetMetadata format'
keywords: ['ParquetMetadata']
slug: /interfaces/formats/ParquetMetadata
title: 'ParquetMetadata'
doc_type: 'reference'
Description {#description}
Special format for reading Parquet file metadata (https://parquet.apache.org/docs/file-format/metadata/). It... | {"source_file": "ParquetMetadata.md"} | [
0.004063013941049576,
0.019294489175081253,
-0.08092938363552094,
-0.08514880388975143,
-0.06653017550706863,
-0.0643322691321373,
-0.017985329031944275,
0.06623663753271103,
-0.015366174280643463,
0.046640802174806595,
0.002561277011409402,
-0.007913131266832352,
-0.0004630069888662547,
-... |
befccfde-4ace-4ca8-822d-d7ac2fb86e5b | Example usage {#example-usage}
Example:
sql
SELECT *
FROM file(data.parquet, ParquetMetadata)
FORMAT PrettyJSONEachRow
json
{
"num_columns": "2",
"num_rows": "100000",
"num_row_groups": "2",
"format_version": "2.6",
"metadata_size": "577",
"total_uncompressed_size": "282436",
"total_... | {"source_file": "ParquetMetadata.md"} | [
-0.017782147973775864,
0.05972150340676308,
-0.049193233251571655,
0.011867154389619827,
-0.04621792957186699,
-0.029834754765033722,
-0.015347476117312908,
0.08652208000421524,
-0.02221277542412281,
0.03605952113866806,
-0.003795100376009941,
0.019705479964613914,
-0.02194729633629322,
-0... |
60c8ceaa-db42-4303-8462-e6cd7d61a723 | alias: []
description: 'Documentation for the ProtobufSingle format'
input_format: true
keywords: ['ProtobufSingle']
output_format: true
slug: /interfaces/formats/ProtobufSingle
title: 'ProtobufSingle'
doc_type: 'reference'
import CloudNotSupportedBadge from '@theme/badges/CloudNotSupportedBadge';
| Input | Out... | {"source_file": "ProtobufSingle.md"} | [
-0.013321897946298122,
0.04508616030216217,
0.051057565957307816,
-0.036201875656843185,
0.03882927820086479,
-0.017052147537469864,
0.02672521397471428,
0.06376863270998001,
0.006384529639035463,
0.030812913551926613,
-0.027397233992815018,
-0.08534227311611176,
0.06303436309099197,
0.014... |
c1809d8a-61c0-4d85-bb88-d025f245ccf6 | alias: []
description: 'Documentation for the Protobuf format'
input_format: true
keywords: ['Protobuf']
output_format: true
slug: /interfaces/formats/Protobuf
title: 'Protobuf'
doc_type: 'guide'
| Input | Output | Alias |
|-------|--------|-------|
| ✔ | ✔ | |
Description {#description}
The
Pro... | {"source_file": "Protobuf.md"} | [
0.010411594063043594,
-0.020774031057953835,
-0.03029121644794941,
-0.06441983580589294,
-0.007944819517433643,
-0.062282174825668335,
0.03414086997509003,
0.0492587648332119,
-0.003839542157948017,
0.026411358267068863,
-0.0019218629458919168,
-0.10810887813568115,
0.013021250255405903,
0... |
96d6b1c0-0da7-4287-a4cc-673e945eb5ba | The setting
input_format_protobuf_oneof_presence
is disabled by default
ClickHouse inputs and outputs protobuf messages in the
length-delimited
format.
This means that before every message its length should be written as a
variable width integer (varint)
.
Example usage {#example-usage}
Reading and writing d... | {"source_file": "Protobuf.md"} | [
0.0439782440662384,
-0.009675044566392899,
-0.05239500477910042,
-0.05292374640703201,
-0.06967169791460037,
-0.06083476170897484,
0.0339333601295948,
0.05203169211745262,
-0.06423792988061905,
0.025598494336009026,
0.009276502765715122,
-0.10534462332725525,
0.0002695213770493865,
-0.0040... |
bc5e1f87-3c41-4e23-b49d-7b566dd35461 | output_filename = "protobuf_messages.bin"
# Open the binary file in write-binary mode ('wb')
with open(output_filename, "wb") as f:
for item in data_to_serialize:
# Create a Protobuf message instance for the current user
message = create_user_data_message(
item["name"],
item... | {"source_file": "Protobuf.md"} | [
0.023256899788975716,
0.03279067575931549,
-0.024394508451223373,
-0.041914500296115875,
-0.08897323161363602,
-0.07563742250204086,
-0.018447887152433395,
0.12716682255268097,
-0.11690125614404678,
-0.005294400732964277,
0.01962774246931076,
-0.05985897406935692,
0.012461381033062935,
-0.... |
d81ce10a-e264-4478-9f84-6d0d4f1076d9 | sql
SELECT * FROM test.protobuf_messages INTO OUTFILE 'protobuf_message_from_clickhouse.bin' FORMAT Protobuf SETTINGS format_schema = 'schemafile:MessageType'
With your Protobuf schema, you can now deserialize the data which was written out from ClickHouse to file
protobuf_message_from_clickhouse.bin
.
Reading and... | {"source_file": "Protobuf.md"} | [
0.05537765100598335,
-0.03885558247566223,
-0.0342128686606884,
-0.01712682470679283,
-0.04817444086074829,
-0.059171002358198166,
0.04753340780735016,
0.020413566380739212,
-0.06406804174184799,
0.08139093965291977,
0.04412079602479935,
-0.09806369990110397,
0.06512705981731415,
-0.036695... |
fe87f9ee-f7d0-484d-b92d-2d3df3941328 | Select the data inserted into the table:
sql
clickhouse client --host <hostname> --secure --password <password> --query "SELECT * FROM testing.protobuf_messages"
response
Aisha Khan 19920815 ['(555) 247-8903','(555) 612-3457']
Javier Rodriguez 20001015 ['(555) 891-2046','(555) 738-5129']
Mei Ling 19980616 ['(555) 9... | {"source_file": "Protobuf.md"} | [
0.06674841791391373,
-0.013827741146087646,
-0.09584040194749832,
0.00009800406405702233,
-0.05943596363067627,
-0.03558649867773056,
0.04571857303380966,
-0.02190493419766426,
-0.05234310403466225,
0.05438822880387306,
0.03008999675512314,
-0.1633094698190689,
0.08102737367153168,
-0.0364... |
d771c669-6a1b-4301-a8fe-b449f1f3580d | alias: []
description: 'Documentation for the ProtobufList format'
input_format: true
keywords: ['ProtobufList']
output_format: true
slug: /interfaces/formats/ProtobufList
title: 'ProtobufList'
doc_type: 'reference'
import CloudNotSupportedBadge from '@theme/badges/CloudNotSupportedBadge';
| Input | Output | Al... | {"source_file": "ProtobufList.md"} | [
-0.004383751191198826,
-0.005938471760600805,
-0.023326726630330086,
-0.003202554304152727,
-0.01300029456615448,
-0.02346232905983925,
0.07987358421087265,
0.036564137786626816,
0.0075472514145076275,
0.03713025152683258,
-0.009888592176139355,
-0.12351708114147186,
0.1031385213136673,
0.... |
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