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ago

This section contains reference documentation for the ago function.

Return time as epoch millis before the given period (in ISO-8601 duration format).

Examples:

  • "PT20.345S" -- parses as "20.345 seconds"

  • "PT15M" -- parses as "15 minutes" (where a minute is 60 seconds)

  • "PT10H" -- parses as "10 hours" (where an hour is 3600 seconds)

  • "P2D" -- parses as "2 days" (where a day is 24 hours or 86400 seconds)

  • "P2DT3H4M" -- parses as "2 days, 3 hours and 4 minutes"

  • "P-6H3M" -- parses as "-6 hours and +3 minutes"

  • "-P6H3M" -- parses as "-6 hours and -3 minutes"

  • "-P-6H+3M" -- parses as "+6 hours and -3 minutes"

hashtag
Signature

ago()

hashtag
Usage Examples

oneDayAgo

This function is typically used in predicate to filter on timestamp for recent data. e.g. filter data on recent 1 day.

arrayConcatDouble

This section contains reference documentation for the arrayConcatDouble function.

Concatenates two arrays of doubles.

hashtag
Signature

arrayConcatDouble('colName1', 'colName2')

hashtag
Usage Examples

This example assumes the multiValueTable columns mvCol1 and mvCol2 are both of type DOUBLE with singleValueField in the table schema set to false.

ABS

This section contains reference documentation for the abs function.

Absolute of a value

hashtag
Signature

ABS(col1)

arrayDistinctString

This section contains reference documentation for the arrayDistinctString function.

Returns unique values in an array of strings.

hashtag
Signature

arrayDistinctString('colName')

ADD

This section contains reference documentation for the ADD function.

Sum of at least two values

hashtag
Signature

ADD(col1, col2, col3...)

arrayDistinctInt

This section contains reference documentation for the arrayDistinctInt function.

Returns unique values in an array of ints.

hashtag
Signature

arrayDistinctInt('colName')

arrayContainsString

This section contains reference documentation for the arrayContainsString function.

Checks if string value exists in array.

hashtag
Signature

arrayContainsString('colName', valueToFind)

arrayRemoveInt

This section contains reference documentation for the arrayRemoveInt function.

Removes value from array of ints.

hashtag
Signature

arrayRemoveInt('colName', value)

arrayConcatFloat

This section contains reference documentation for the arrayConcatFloat function.

Concatenates two arrays of floats.

hashtag
Signature

arrayConcatFloat('colName1', 'colName2')

arrayContainsInt

This section contains reference documentation for the arrayContainsInt function.

Checks if int value exists in array.

hashtag
Signature

arrayContainsInt('colName', valueToFind)

arrayConcatString

This section contains reference documentation for the arrayConcatString function.

Concatenates two arrays of strings.

hashtag
Signature

arrayConcatString('colName1', 'colName2')

arrayConcatLong

This section contains reference documentation for the arrayConcatLong function.

Concatenates two arrays of longs.

hashtag
Signature

arrayConcatLong('colName1', 'colName2')

1639150454255

select mvCol1, 
       arrayConcatDouble(mvCol1, mvCol2) AS concatDoubles
from multiValueTable
WHERE arraylength(mvCol1) >= 2
limit 5
hashtag
Usage Examples
value

12.1

value

12.1

select ABS(-12.1) AS value
from ignoreMe
select ABS(12.1) AS value
from ignoreMe
hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

DivTailNums
unique

N7713A,N7713A

N7713A

N344AA,N344AA

N344AA

N344AA,N344AA

N344AA

N7713A,N7713A

N7713A

hashtag
Usage Examples

These examples are based on the Batch Quick Start.

homeRuns
baseOnBalls
total

26

37

63

select homeRuns, baseOnBalls, ADD(homeRuns, baseOnBalls) AS total
from baseballStats 
WHERE teamID = 'ML1' 
AND yearID = 1956 
AND playerName = 'Henry Louis'
hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

DivAirportIDs
unique

15016,11066

15016,11066

10620,14869

10620,14869

13891,12892

13891,12892

12264,10397

12264,10397

11066,12892

11066,12892

hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

DivTailNums
index

N7713A,N7713A

true

N344AA,N344AA

false

N7713A,N7713A

true

select DivTailNums, 
       arrayContainsString(DivTailNums, 'N7713A') AS index
from airlineStats 
WHERE arraylength(DivTailNums) >= 2
limit 5
hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

DivAirportIDs
value

13891,12892

13891

13198,12892

13198

11066,12892

11066

13198,12892

13198

13891,12892

13891

hashtag
Usage Examples

This example assumes the multiValueTable columns mvCol1 and mvCol2 are both of type FLOAT with singleValueField in the table schema set to false.

select mvCol1, 
       arrayConcatFloat(mvCol1, mvCol2) AS concatFloats
from multiValueTable
WHERE arraylength(mvCol1) >= 2
limit 5
hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

DivAirportIDs
containsValue

13891,12892

false

14683,14683

true

12339,12339

false

13487,13930

false

13029,11292

false

hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

DivTailNums
concatIds

N7713A,N7713A

N7713A,N7713A,N7713A,N7713A

N344AA,N344AA

N344AA,N344AA,N344AA,N344AA

N344AA,N344AA

N344AA,N344AA,N344AA,N344AA

N7713A,N7713A

N7713A,N7713A,N7713A,N7713A

hashtag
Usage Examples

This example assumes the multiValueTable columns mvCol1 and mvCol2 are both of type LONG with singleValueField in the table schema set to false.

select mvCol1, 
       arrayConcatLong(mvCol1, mvCol2) AS concatLongs
from multiValueTable
WHERE arraylength(mvCol1) >= 2
limit 5
select ago("P1D") AS oneDayAgo
FROM ignoreMe
SELECT * 
FROM tableName
WHERE tsInMillis > ago("P1D")
select DivTailNums, 
       arrayDistinctString(DivTailNums) AS unique
from airlineStats 
WHERE arraylength(DivTailNums) >= 2
limit 5
select DivAirportIDs, 
       arrayDistinctInt(DivAirportIDs) AS unique
from airlineStats 
WHERE arraylength(DivAirportIDs) >= 2
limit 5
select DivAirportIDs, 
       arrayRemoveInt(DivAirportIDs, 12892) AS value
from airlineStats 
WHERE arraylength(DivAirportIDs) >= 2
AND arrayContainsInt(DivAirportIDs, 12892) = 1
limit 5
select DivAirportIDs, 
       arrayContainsInt(DivAirportIDs, 14683) AS containsValue
from airlineStats 
WHERE arraylength(DivAirportIDs) >= 2
limit 5
select DivTailNums, 
       arrayConcatString(DivTailNums, DivTailNums) AS concatIds
from airlineStats 
WHERE arraylength(DivTailNums) >= 2
limit 5

arrayIndexOfString

This section contains reference documentation for the arrayIndexOfString function.

Finds the last index of the given value in the array starting at the given index.

hashtag
Signature

arrayIndexOfString('colName', valueToFind)

hashtag
Usage Examples

These examples are based on the .

DivTailNums
index

arrayConcatInt

This section contains reference documentation for the arrayConcatInt function.

Concatenates two arrays of ints.

hashtag
Signature

arrayConcatInt('colName1', 'colName2')

hashtag
Usage Examples

These examples are based on the .

DivWheelsOffs
concatIds

Functions

This page contains reference documentation for functions in Apache Pinot.

This page contains reference documentation for functions in Apache Pinot.

ARRAYLENGTH

This section contains reference documentation for the ARRAYLENGTH function.

Returns the length of a multi-value column

hashtag
Signature

ARRAYLENGTH('colName')

ABSchevron-right
ADDchevron-right
arrayConcatDoublechevron-right
arrayConcatFloatchevron-right
arrayConcatIntchevron-right
arrayConcatLongchevron-right
arrayConcatStringchevron-right
arrayContainsIntchevron-right
arrayContainsStringchevron-right
arrayDistinctIntchevron-right
arrayDistinctStringchevron-right
arrayIndexOfIntchevron-right
arrayIndexOfStringchevron-right
ARRAYLENGTHchevron-right
arrayRemoveIntchevron-right
arrayRemoveStringchevron-right
arrayReverseIntchevron-right
arrayReverseStringchevron-right
arraySliceIntchevron-right
arraySliceStringchevron-right
arraySortIntchevron-right
arraySortStringchevron-right
arrayUnionIntchevron-right
arrayUnionStringchevron-right
AVGMVchevron-right
Base64chevron-right
ceilchevron-right
CHRchevron-right
codepointchevron-right
concatchevron-right
countchevron-right
COUNTMVchevron-right
DATETIMECONVERTchevron-right
DATETRUNCchevron-right
daychevron-right
dayOfWeekchevron-right
dayOfYearchevron-right
DISTINCTchevron-right
DISTINCTCOUNTchevron-right
DISTINCTCOUNTBITMAPchevron-right
DISTINCTCOUNTHLLMVchevron-right
DISTINCTCOUNTHLLchevron-right
DISTINCTCOUNTBITMAPMVchevron-right
DISTINCTCOUNTMVchevron-right
DISTINCTCOUNTRAWHLLchevron-right
DISTINCTCOUNTRAWHLLMVchevron-right
DISTINCTCOUNTRAWTHETASKETCHchevron-right
DISTINCTCOUNTTHETASKETCHchevron-right
DIVchevron-right
expchevron-right
FromDateTimechevron-right
FLOORchevron-right
FromEpochchevron-right
FromEpochBucketchevron-right
Histogramchevron-right
hourchevron-right
jsonextractkeychevron-right
jsonextractscalarchevron-right
JSONFORMATchevron-right
JSONPATHchevron-right
JSONPATHARRAYchevron-right
JSONPATHARRAYDEFAULTEMPTYchevron-right
JSONPATHDOUBLEchevron-right
JSONPATHLONGchevron-right
JSONPATHSTRINGchevron-right
lengthchevron-right
lnchevron-right
lowerchevron-right
lpadchevron-right
ltrimchevron-right
maxchevron-right
MAXMVchevron-right
MD5chevron-right
millisecondchevron-right
minchevron-right
minmaxrangechevron-right
MINMAXRANGEMVchevron-right
MINMVchevron-right
minutechevron-right
MODchevron-right
modechevron-right
monthchevron-right
multchevron-right
nowchevron-right
percentilechevron-right
percentileestchevron-right
percentileestmvchevron-right
percentiletdigestchevron-right
percentiletdigestmvchevron-right
percentilemvchevron-right
quarterchevron-right
regexpExtractchevron-right
removechevron-right
replacechevron-right
reversechevron-right
roundchevron-right
rpadchevron-right
rtrimchevron-right
secondchevron-right
SEGMENTPARTITIONEDDISTINCTCOUNTchevron-right
shachevron-right
sha256chevron-right
sha512chevron-right
sqrtchevron-right
startswithchevron-right
ST_AsBinarychevron-right
ST_AsTextchevron-right
ST_Containschevron-right
ST_Distancechevron-right
ST_GeogFromTextchevron-right
ST_GeogFromWKBchevron-right
ST_GeometryTypechevron-right
ST_GeomFromTextchevron-right
ST_GeomFromWKBchevron-right
STPOINTchevron-right
ST_Polygonchevron-right
strposchevron-right
ST_Unionchevron-right
SUBchevron-right
substrchevron-right
sumchevron-right
TIMECONVERTchevron-right
https://github.com/pinot-contrib/pinot-docs/blob/latest/configuration-reference/functions/timezoneHour.mdchevron-right
https://github.com/pinot-contrib/pinot-docs/blob/latest/configuration-reference/functions/timezoneMinute.mdchevron-right
ToDateTimechevron-right
https://github.com/pinot-contrib/pinot-docs/blob/latest/configuration-reference/functions/toEpoch.mdchevron-right
https://github.com/pinot-contrib/pinot-docs/blob/latest/configuration-reference/functions/toEpochBucket.mdchevron-right
https://github.com/pinot-contrib/pinot-docs/blob/latest/configuration-reference/functions/toEpochRounded.mdchevron-right
TOJSONMAPSTRchevron-right
toSphericalGeographychevron-right
trimchevron-right
upperchevron-right
Urlchevron-right
UTF8chevron-right
VALUEINchevron-right
weekchevron-right
yearchevron-right
https://github.com/pinot-contrib/pinot-docs/blob/latest/configuration-reference/functions/yearOfWeek.mdchevron-right
select DivTailNums, 
       arrayIndexOfString(DivTailNums, 'N7713A') AS index
from airlineStats 
WHERE arraylength(DivTailNums) >= 2
limit 5

N7713A,N7713A

0

N344AA,N344AA

-1

N7713A,N7713A

0

Hybrid Quick Start

1453,1731

1453,1731,1415,1623

1908,1758

1908,1758,1339,2310

1453,1731

1453,1731,1415,1623

1908,1758

1908,1758,1339,2310

Hybrid Quick Start
hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

length
count(*)

1

5382

37

267

33

223

17

166

22

160

circle-info

The count(*) values will increase each time we execute the query as data is constantly being ingested by the Hybrid Quick Start.

select DivWheelsOffs, 
       arrayConcatInt(DivWheelsOffs, DivWheelsOns) AS concatIds
from airlineStats 
WHERE arraylength(DivWheelsOffs) >= 2
limit 5
select ARRAYLENGTH(RandomAirports) AS length, count(*) 
from airlineStats 
GROUP BY length
ORDER BY count(*) DESC
LIMIT 5

arrayIndexOfInt

This section contains reference documentation for the arrayIndexOfInt function.

Finds the last index of the given value in the array starting at the given index.

hashtag
Signature

arrayIndexOfInt('colName', valueToFind)

hashtag
Usage Examples

These examples are based on the .

DivAirportIDs
index

exp

This section contains reference documentation for the exp function.

Euler’s number(e) raised to the power of col.

hashtag
Signature

EXP(col1)

hashtag
Usage Examples

value
value

COVAR_SAMP

This section contains reference documentation for the COVAR_SAMP function.

Returns the sample covariance between of 2 numerical columns.

COVAR_SAMP(col1, col2) = COVAR_POP(col1, col2) * besselCorrection

hashtag
Signatures

COVAR_SAMP(col1, col2) -> double

hashtag
Usage Examples

These examples are based on the .

covariance

FLOOR

This section contains reference documentation for the FLOOR function.

Rounded down to the nearest integer.

hashtag
Signature

FLOOR(col1)

hashtag
Usage Examples

value
value

Base64

This section contains reference documentation for base64 encode and decode functions.

Encoding scheme follows

  • toBase64 returns Base64 encoded string of input binary data (bytes type).

  • fromBase64

arrayReverseInt

This section contains reference documentation for the arrayReverseInt function.

Reverses array of ints.

hashtag
Signature

arrayReverseInt('colName')

DISTINCTCOUNTHLL

This section contains reference documentation for the DISTINCTCOUNTHLL function.

Returns an approximate distinct count using HyperLogLog. It also takes an optional second argument to configure the log2m for the HyperLogLog. For accurate distinct counting, see .

hashtag
Signature

DISTINCTCOUNTHLL(colName, log2m)

arraySliceInt

This section contains reference documentation for the arraySliceInt function.

Returns the values in the array between the start and end positions.

hashtag
Signature

arraySliceInt('colName', start, end)

DISTINCTSUMMV

This section contains reference documentation for the DISTINCTSUMMV function.

Returns the sum of the distinct row values in a group

hashtag
Signature

DISTINCTSUMMV(colName)

arrayRemoveString

This section contains reference documentation for the arrayRemoveString function.

Removes value from array of strings.

hashtag
Signature

arrayRemoveString('colName', value)

COUNTMV

This section contains reference documentation for the COUNTMV function.

Get the count of rows in a group

hashtag
Signature

COUNTMV(colName)

arrayUnionInt

This section contains reference documentation for the arrayUnionInt function.

Create a union of two arrays of ints.

hashtag
Signature

arrayUnionInt('colName1', 'colName2')

COVAR_POP

This section contains reference documentation for the COVAR_POP function.

Returns the population covariance between of 2 numerical columns.

hashtag
Signatures

COVAR_POP(col1, col2) -> double

DISTINCTCOUNTBITMAP

This section contains reference documentation for the DISTINCTCOUNTBITMAP function.

Returns the count of distinct row values in a group. This function is accurate for INT column, but approximate for other cases where hash codes are used in distinct counting and there may be hash collisions. For accurate distinct counting on all column types, see .

hashtag
Signature

DISTINCTCOUNTBITMAP(colName)

DISTINCTSUM

This section contains reference documentation for the DISTINCTSUM function.

Returns the sum of distinct row values in a group

hashtag
Signature

DISTINCTSUM(colName) or sum(distinct col)

MOD

This section contains reference documentation for the MOD function.

Modulo of two values

hashtag
Signature

MOD(col1, col2)

lower

This section contains reference documentation for the lower function.

Converts string to lower case.

hashtag
Signature

LOWER(col)

MINMV

This section contains reference documentation for the MINMV function.

Get the minimum value in a group

hashtag
Signature

MINMV(colName)

CHR

This section contains reference documentation for the CHR function.

the character corresponding to the Unicode codepoint

hashtag
Signature

CHR(codepoint)

count

This section contains reference documentation for the count function.

Get the count of rows in a group

hashtag
Signature

COUNT(colName)

length

This section contains reference documentation for the length function.

calculate length of the string

hashtag
Signature

LENGTH(col)

max

This section contains reference documentation for the max function.

Get the maximum value in a group

hashtag
Signature

MAX(colName)

ln

This section contains reference documentation for the ln function.

Natural log of value i.e. ln(col1)

hashtag
Signature

LN(col1)

MINMAXRANGEMV

This section contains reference documentation for the MINMAXRANGEMV function.

Returns the max - min value in a group

hashtag
Signature

MINMAXRANGEMV(colName)

codepoint

This section contains reference documentation for the CODEPOINT function.

the Unicode codepoint of the first character of the string

hashtag
Signature

CODEPOINT(col)

now

This section contains reference documentation for the now function.

Return current time as epoch millis.

hashtag
Signature

now()

MAXMV

This section contains reference documentation for the MAXMV function.

Get the maximum value in a group

hashtag
Signature

MAXMV(colName)

13891,12892

-1

14683,14683

0

12339,12339

-1

13487,13930

-1

13029,11292

-1

Hybrid Quick Start
select EXP(1) AS value
from ignoreMe

2.718281828459045

select EXP(12) AS value
from ignoreMe

162754.79141900392

SELECT COVAR_SAMP(numberOfGames, AtBatting) AS covariance 
FROM baseballStats

8270.973200974102

Batch Quick Start
select FLOOR(12.1) AS value
from ignoreMe

12

select FLOOR(-12.1) AS value
from ignoreMe

-13

returns binary data (represented as a Hex string) from Base64-encoded string.

hashtag
Signature

toBase64(bytesCol)

fromBase64(stringCol)

hashtag
Usage Examples

circle-info

For better readability, the following examples converts string hello! into BYTES using toUtf8arrow-up-right function and converts the decoded BYTES into string using fromUtf8arrow-up-right.

encoded

aGVsbG8h

decoded

hello!

circle-info

Note that without UTF8 string conversion, returned BYTES will be represented as a Hex string following Pinot's BYTES column representationarrow-up-right. See the example below.

decoded

68656c6c6f21

circle-exclamation

Note that the following query will throw compilation error as string is not a valid input type for toBase64.

java.util.Base64.Encoderarrow-up-right
hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

DivAirportIDs
reversedIds

13891,12892

12892,13891

14683,14683

14683,14683

12339,12339

12339,12339

13487,13930

13930,13487

13029,11292

11292,13029

hashtag
Usage Examples

These examples are based on the Batch Quick Start.

value

158

value

149

DISTINCTCOUNT
select DISTINCTCOUNTHLL(teamID) AS value
from baseballStats 
hashtag
Usage Examples

These examples are based on the Hybrid Quick Startarrow-up-right.

VALUE

1134

SELECT DISTINCTSUMMV(DivLongestGTimes) AS VALUE
FROM airlineStats
WHERE arraylength(DivLongestGTimes) > 1
hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

DivAirportIDs
value

SEA,PSC

PSC

SEA,PSC,PHX,MSY

PSC,PHX,MSY

SEA,PSC,PHX,MSY

PSC,PHX,MSY

SEA,PSC

PSC

SEA,PSC

PSC

hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

The following query returns the documents that have a DivTailNums with more than one value:

DivTailNums

N7713A,N7713A

N344AA,N344AA

N344AA,N344AA

N7713A,N7713A

You can count the number of items in these rows by running the following query:

value

8

select DivTailNums
from airlineStats 
where arraylength(DivTailNums) > 1
hashtag
Usage Examples

These examples are based on the Batch Quick Start.

covariance

2314.249154477403

COVAR_POP(col1, col2) = E[col1 * col2] - E[col1]E[col2]
SELECT COVAR_POP(numberOfGames, hits) AS covariance 
FROM baseballStats
hashtag
Usage Examples

These examples are based on the Batch Quick Start.

value

7

value

148

DISTINCTCOUNT
select DISTINCTCOUNTBITMAP(league) AS value
from baseballStats 
hashtag
Usage Examples

These examples are based on the Batch Quick Start.

VALUE

13922

VALUE

244032

SELECT DISTINCTSUM(runs) AS VALUE
FROM baseballStats
SELECT SUM(DISTINCT AtBatting) AS VALUE
FROM baseballStats
hashtag
Usage Examples
value

2

value

0

select MOD(12, 5) AS value
from ignoreMe
select MOD(12, 2) AS value
from ignoreMe
hashtag
Usage Examples
name

pinot

select LOWER('Pinot') AS name
FROM ignoreMe
hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

value

2

select MINMV(DivLongestGTimes) AS value
from airlineStats 
where arraylength(DivLongestGTimes) > 1
hashtag
Usage Examples
value

A

SELECT CHR(65) AS value
FROM ignoreMe
hashtag
Usage Examples

These examples are based on the Batch Quick Start.

value

97889

select count(*) AS value
from baseballStats 
hashtag
Usage Examples
value

5

SELECT length('Pinot') AS value
FROM ignoreMe
hashtag
Usage Examples

These examples are based on the Batch Quick Start.

value

73

select max(homeRuns) AS value
from baseballStats 
hashtag
Usage Examples
value

0

value

2.4849066497880004

select ln(1) AS value
from ignoreMe
select ln(12) AS value
from ignoreMe
hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

value

106

select MINMAXRANGEMV(DivLongestGTimes) AS value
from airlineStats 
where arraylength(DivLongestGTimes) > 1
hashtag
Usage Examples
value

65

SELECT CODEPOINT('Apache Pinot') AS value
FROM ignoreMe
hashtag
Usage Examples
now

1639150454255

This function is typically used in predicate to filter on timestamp for recent data. e.g. filter data on recent 1 day(86400 seconds)

select now() AS now
FROM ignoreMe
SELECT * 
FROM tableName
WHERE tsInMillis > now() - 86400000
hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

value

108

select MAXMV(DivLongestGTimes) AS value
from airlineStats 
where arraylength(DivLongestGTimes) > 1
select DivAirportIDs, 
       arrayIndexOfInt(DivAirportIDs, 14683) AS index
from airlineStats 
WHERE arraylength(DivAirportIDs) >= 2
limit 5
SELECT toBase64(toUtf8('hello!')) AS encoded
FROM ignoreMe
SELECT fromUtf8(fromBase64('aGVsbG8h')) AS decoded
FROM ignoreMe
SELECT fromBase64('aGVsbG8h') AS decoded
FROM ignoreMe
SELECT toBase64('hello!') AS encoded
FROM ignoreMe
select DivAirportIDs, 
       arrayReverseInt(DivAirportIDs) AS reversedIds
from airlineStats 
WHERE arraylength(DivAirportIDs) >= 2
limit 5
select DISTINCTCOUNTHLL(teamID, 12) AS value
from baseballStats 
select RandomAirports, 
       arrayRemoveString(RandomAirports, 'SEA') AS value
from airlineStats 
WHERE arraylength(RandomAirports) BETWEEN 2 AND 4
limit 5
select COUNTMV(DivTailNums) AS value
from airlineStats 
where arraylength(DivTailNums) > 1
select DISTINCTCOUNTBITMAP(teamID) AS value
from baseballStats 
hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

FlightNum
airports
DivAirportIDs

1531

13891

13891,12892

19

14683

14683,14683

829

12339

12339,12339

hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

DivWheelsOffs
DivWheelsOns
unionIds

1453,1731

1415,1623

1453,1731,1415,1623

1908,1758

1339,2310

1908,1758,1339,2310

1453,1731

1415,1623

1453,1731,1415,1623

DISTINCTCOUNTRAWHLLMV

This section contains reference documentation for the DISTINCTCOUNTRAWHLLMV function.

Returns HLL response serialized as string. The serialized HLL can be converted back into an HLL and then aggregated with other HLLs. A common use case may be to merge HLL responses from different Pinot tables, or to allow aggregation after client-side batching.

hashtag
Signature

DISTINCTCOUNTRAWHLLMV(colName, log2m)

hashtag
Usage Examples

These examples are based on the .

value
value

DISTINCTCOUNTMV

This section contains reference documentation for the DISTINCTCOUNTMV function.

Returns the count of distinct row values in a group

hashtag
Signature

DISTINCTCOUNTMV(colName)

hashtag
Usage Examples

These examples are based on the .

The following query returns the documents that have a DivTailNums with more than one value:

DivTailNums

You can count the distinct number of items in these rows by running the following query:

value

DISTINCTAVG

This section contains reference documentation for the DISTINCTAVG function.

Returns the average of distinct row values in a group

hashtag
Signature

DISTINCTAVG(colName) or avg(distinct col)

hashtag
Usage Examples

These examples are based on the .

VALUE

VALUE

arrayReverseString

This section contains reference documentation for the arrayReverseString function.

Reverses array of strings.

hashtag
Signature

arrayReverseString('colName')

hashtag
Usage Examples

These examples are based on the .

FlightNum
reversedAirports
RandomAirports

DISTINCTCOUNT

This section contains reference documentation for the DISTINCTCOUNT function.

Returns the count of distinct row values in a group

hashtag
Signature

DISTINCTCOUNT(colName)

hashtag
Usage Examples

These examples are based on the .

value
value

arrayUnionString

This section contains reference documentation for the arrayUnionString function.

Create a union of two arrays of strings.

hashtag
Signature

arrayUnionString('colName1', 'colName2')

hashtag
Usage Examples

These examples are based on the .

DivTailNums
DivAirports
unionIds

Histogram

This section contains reference documentation for the HISTOGRAM function.

Returns the count of data points that fall within each bin as a vector. The bins are left-inclusive and right-exclusive, i.e. [a, b), except for the last one which is inclusive on both sides [a, b].

hashtag
Signatures

  1. Equal length bins (better performance):

HISTOGRAM(colName, lower, upper, numBins)

  1. Arbitrary increasing bin edges:

HISTOGRAM(colName, ARRAY[binEdge1, binEdge2, binEdge3, ...])

hashtag
Usage Examples

These examples are based on the .

  1. 10 equal-length bins [0, 20), [20, 30) ... [180, 200]

histogram
  1. 6 bins (- ∞, 1), [1, 10), [10, 50), [50,100), [100,500), [500, 1000]

histogram

day

This section contains reference documentation for the day function.

Returns the day of the month from the given epoch millis in UTC or specified timezone. The value ranges from 1 to 31.

hashtag
Signature

day(tsInMillis)

day(tsInMillis, timeZoneId)

dayOfMonth(tsInMillis)

dayOfMonth(tsInMillis, timeZoneId)

hashtag
Usage Examples

day
day
day
day

DIV

This section contains reference documentation for the DIV function.

Quotient of two values

hashtag
Signature

DIV(col1, col2)

hashtag
Usage Examples

These examples are based on the .

homeRuns
numberOfGames
total

arraySortInt

This section contains reference documentation for the arraySortInt function.

Sorts array of ints.

hashtag
Signature

arraySortInt('colName')

hashtag
Usage Examples

These examples are based on the .

DivAirportIDs
sortedIds

AVGMV

This section contains reference documentation for the AVGMV function.

Get the avg of values in a group

hashtag
Signature

AVGMV(colName)

hashtag
Usage Examples

These examples are based on the .

value

dayOfWeek

This section contains reference documentation for the dayOfWeek function.

Returns the day of the week from the given epoch millis in UTC timezone. The value ranges from 1(Monday) to 7(Sunday).

hashtag
Signature

dayOfWeek(tsInMillis)

dayOfWeek(tsInMillis, timeZoneId)

dow(tsInMillis)

dow(tsInMillis, timeZoneId)

hashtag
Usage Examples

dayOfWeek
dayOfWeek
dayOfWeek
dayOfWeek

hour

This section contains reference documentation for the hour function.

Returns the hour of the day from the given epoch millis in UTC or specified timezone. The value ranges from 0 to 23.

hashtag
Signature

hour(tsInMillis)

hour(tsInMillis, timeZoneId)

hashtag
Usage Examples

hour
hour

dayOfYear

This section contains reference documentation for the dayOfYear function.

Returns the day of the year from the given epoch millis in UTC or specified timezone. The value ranges from 1 to 366.

hashtag
Signature

dayOfYear(tsInMillis)

dayOfYear(tsInMillis, timeZoneId)

doy(tsInMillis)

doy(tsInMillis, timeZoneId)

hashtag
Usage Examples

dayOfYear
dayOfYear
dayOfYear
dayOfYear

ceil

This section contains reference documentation for the CEIL function.

Rounded up to the nearest integer.

hashtag
Signature

CEIL(col1)

hashtag
Usage Examples

value
value

arraySortString

This section contains reference documentation for the arraySortString function.

Sorts array of strings.

hashtag
Signature

arraySortString('colName')

hashtag
Usage Examples

These examples are based on the .

FlightNum
sortedAirports
RandomAirports

DISTINCTCOUNTRAWHLL

This section contains reference documentation for the DISTINCTCOUNTRAWHLL function.

Returns HLL response serialized as string. The serialized HLL can be converted back into an HLL and then aggregated with other HLLs. A common use case may be to merge HLL responses from different Pinot tables, or to allow aggregation after client-side batching.

hashtag
Signature

DISTINCTCOUNTRAWHLL(colName, log2m)

hashtag
Usage Examples

These examples are based on the .

value
value

FromDateTime

This section contains reference documentation for the FromDateTime function.

Converts a formatted date-time string to milliseconds, based on the provided Joda-Time patternarrow-up-right.

hashtag
Signature

FromDateTime(dateTimeString, pattern)

hashtag
Usage Examples

epochMillis
epochMillis
epochMillis
epochMillis

millisecond

This section contains reference documentation for the millisecond function.

Returns the millisecond of the second from the given epoch millis in UTC or specified timezone. The value ranges from 0 to 999.

hashtag
Signature

millisecond(tsInMillis)

millisecond(tsInMillis, timeZoneId)

hashtag
Usage Examples

millisecond
millisecond

month

This section contains reference documentation for the month function.

Returns the month of the year from the given epoch millis in UTC or specified timezone. The value ranges from 1 to 12.

hashtag
Signature

month(tsInMillis)

month(tsInMillis, timeZoneId)

hashtag
Usage Examples

month
month

mult

This section contains reference documentation for the MULT function.

Product of at least two values

hashtag
Signature

MULT(col1, col2, col3...)

hashtag
Usage Examples

These examples are based on the .

homeRuns
baseOnBalls
total

min

This section contains reference documentation for the min function.

Get the minimum value in a group

hashtag
Signature

MIN(colName)

hashtag
Usage Examples

These examples are based on the .

value

isSubnetOf

This section contains reference documentation for the isSubnetOf function.

Takes 2 arguments of type STRING. The first argument is an ipPrefix, and the second argument is a single ipAddress. This function handles both IPv4 and IPv6 arguments.

Returns a boolean value checking if ipAddress is in the subnet of ipPrefix

hashtag
Signatures

isSubnetOf(ipPrefix, ipAddress) -> boolean

hashtag
Usage Examples

Please see the following sample queries where isSubnetOf is used in different parts of the query.

JSONFORMAT

This section contains reference documentation for the JSONFORMAT function.

Extracts the object value from jsonField based on 'jsonPath', the result type is inferred based on JSON value. This function can only be used in an ingestion transformation function.

hashtag
Signature

JSONFORMAT(object)

hashtag
Usage Examples

The usage examples are based on extracting fields from the following JSON document:

Expression
Value

This function can be used in the to extract the meta property into the data column, as described below:

percentileestmv

This section contains reference documentation for the PERCENTILEESTMV function.

Returns the Nth percentile of the group using Quantile Digestarrow-up-right algorithm.

hashtag
Signature

PERCENTILEESTMV(colName, N)

hashtag
Usage Examples

These examples are based on the .

value
value
value

percentiletdigest

This section contains reference documentation for the PERCENTILETDigest function.

Returns the Nth percentile of the group using T-digest algorithmarrow-up-right.

hashtag
Signature

PERCENTILETDigest(colName, percentile)

hashtag
Usage Examples

These examples are based on the .

value
value
value

lpad

This section contains reference documentation for the LPAD function.

string padded from the left side with pad to reach final size

hashtag
Signature

LPAD(col, size, pad)

hashtag
Usage Examples

value

minute

This section contains reference documentation for the minute function.

Returns the minute of the hour from the given epoch millis in UTC or specified timezone. The value ranges from 0 to 59.

hashtag
Signature

minute(tsInMillis)

minute(tsInMillis, timeZoneId)

hashtag
Usage Examples

minute
minute

DISTINCTCOUNTBITMAPMV

This section contains reference documentation for the DISTINCTCOUNTBITMAPMV function.

Returns the count of distinct row values in a group. This function is accurate for INT or dictionary encoded column, but approximate for other cases where hash codes are used in distinct counting and there may be hash collision.

hashtag
Signature

DISTINCTCOUNTBITMAPMV(colName)

hashtag
Usage Examples

These examples are based on the .

value
value

DISTINCTAVGMV

This section contains reference documentation for the DISTINCTAVGMV function.

Returns the average of distinct row values in a group

hashtag
Signature

DISTINCTAVGMV(colName)

hashtag
Usage Examples

These examples are based on the .

VALUE

DISTINCT

This section contains reference documentation for the DISTINCT function.

Returns the distinct row values in a group

hashtag
Signature

DISTINCT(colName)

hashtag
Usage Examples

These examples are based on the .

value
value

quarter

This section contains reference documentation for the quarter function.

Returns the quarter of the year from the given epoch millis in UTC or specified timezone. The value ranges from 1 to 4

hashtag
Signature

quarter(tsInMillis)

quarter(tsInMillis, timeZoneId)

hashtag
Usage Examples

quarter
quarter
quarter

percentile

This section contains reference documentation for the percentile function.

Returns the max - min value in a group

hashtag
Signature

percentile(colName, percentile)

hashtag
Usage Examples

These examples are based on the .

value
value
value

ltrim

This section contains reference documentation for the ltrim function.

trim spaces from left side of the string

hashtag
Signature

LTRIM(col)

hashtag
Usage Examples

notTrimmed
trimmed

minmaxrange

This section contains reference documentation for the minmaxrange function.

Returns the max - min value in a group

hashtag
Signature

MINMAXRANGE(colName)

hashtag
Usage Examples

These examples are based on the .

value

concat

This section contains reference documentation for the concat function.

Concatenate two input strings using the seperator

hashtag
Signature

CONCAT(col1, col2, seperator)

MD5

This section contains reference documentation for the MD5 function.

Return MD5 digest of binary column(bytes type) as hex string

hashtag
Signature

MD5(bytesCol)

arraySliceString

This section contains reference documentation for the arraySliceString function.

Returns the values in the array between the start and end positions.

hashtag
Signature

arraySliceString('colName', start, end)

percentilemv

This section contains reference documentation for the PERCENTILEMV function.

Returns the Nth percentile of the group where N is a decimal number between 0 and 100 inclusive

hashtag
Signature

PERCENTILEMV(colName, N)

percentileest

This section contains reference documentation for the percentileest function.

Returns the Nth percentile of the group using algorithm.

hashtag
Signature

percentileest(colName, percentile)

jsonextractkey

This section contains reference documentation for the JSONEXTRACTKEY function.

Extracts all matched JSON field keys based on 'jsonPath' into a STRING_ARRAY.

hashtag
Signature

JSONEXTRACTKEY(jsonField, 'jsonPath')

Arguments
select FlightNum, 
       arraySliceInt(DivAirportIDs, 0, 1) AS airports, 
	     DivAirportIDs
from airlineStats 
WHERE arraylength(DivAirportIDs) >= 2
limit 5
select DivWheelsOffs, 
       DivWheelsOns,
       arrayUnionInt(DivWheelsOffs, DivWheelsOns) AS unionIds
from airlineStats 
WHERE arraylength(DivWheelsOffs) >= 2
limit 5

24

13198

13198,10721

548

10721

10721,12478

1908,1758

1339,2310

1908,1758,1339,2310

select DISTINCTCOUNTRAWHLLMV(DivAirports) AS value
from airlineStats 
where arraylength(DivAirports) > 1

00000008000000ac00000000000000000000000500000020000000000030000202108000040000010000000300010400000000000000000000000463000000000000000000010001041000200000002000000000000000000a00000000028001000000010800000000010000001008000000804000000000020000040000880000000000000000000000000000000000000000000000800000000800020004000000840000000002000000000000000000001400

0000000100000004000000e4

Hybrid Quick Start
select DivTailNums
from airlineStats 
where arraylength(DivTailNums) > 1

N7713A,N7713A

N344AA,N344AA

N344AA,N344AA

N7713A,N7713A

2

Hybrid Quick Start
SELECT DISTINCTAVG(runs) AS VALUE
FROM baseballStats

83.36526946107784

349.1158798283262

Batch Quick Start

PHX,PSC,SEA

SEA,PSC,PHX

963

MSY,PHX,PSC,SEA

SEA,PSC,PHX,MSY

1206

PSC,SEA

SEA,PSC

5300

PSC,SEA

SEA,PSC

3359

MSY,PHX,PSC,SEA

SEA,PSC,PHX,MSY

Hybrid Quick Start

1023

select DISTINCTCOUNT(league) AS value
from baseballStats 

7

select DISTINCTCOUNT(teamID) AS value
from baseballStats 

149

Batch Quick Start

MCI,BOS

N344AA,MCI,BOS

N7713A,N7713A

IND,IND

N7713A,IND

N344AA,N344AA

MCI,BOS

N344AA,MCI,BOS

N7713A,N7713A

IND,IND

N7713A,IND

Hybrid Quick Start

N344AA,N344AA

32348,21519,11359,7587,5488,5360,6282,7361,585,0

13520,16506,18375,12403,28591,8494

Batch Quick Start
select day(1639351800000) AS day
FROM ignoreMe

12

13

12

13

select homeRuns, numberOfGames, DIV(homeRuns, numberOfGames) AS total
from baseballStats 
WHERE teamID = 'ML1' 
AND yearID = 1956 
AND playerName = 'Henry Louis'

26

153

0.16993464052287582

Batch Quick Start

13891,12892

12892,13891

14683,14683

14683,14683

12339,12339

12339,12339

13198,10721

10721,13198

10721,12478

10721,12478

Hybrid Quick Start
select AVGMV(DivLongestGTimes) AS value
from airlineStats 
where arraylength(DivLongestGTimes) > 1

18.465753424657535

Hybrid Quick Start
select dayOfWeek(1639351800000) AS dayOfWeek
FROM ignoreMe

7

1

7

1

select hour(1639351800000) AS hour
FROM ignoreMe

23

select hour(1639351800000, 'CET') AS hour
FROM ignoreMe

0

select dayOfYear(1639351800000) AS dayOfYear
FROM ignoreMe

346

347

346

347

select CEIL(12.1) AS value
from ignoreMe

13

select CEIL(-12.1) AS value
from ignoreMe

-12

PSC,SEA

SEA,PSC

5300

PSC,SEA

SEA,PSC

3846

PSC,SEA

SEA,PSC

3635

MSY,PHX,PSC,SEA

SEA,PSC,PHX,MSY

429

MSY,PHX,PSC,SEA

SEA,PSC,PHX,MSY

Hybrid Quick Start

1206

select DISTINCTCOUNTRAWHLL(teamID) AS value
from baseballStats 

00000008000000ac00000800000084000210000000000020001020220030042002100420002010020210000300008020040180400001300310001863024004220870800004400421040104610220080000020000040000030000800002108420000110400800000106000060000080020000082000218c0002000000020000010200100000018c0006000400022004a0000088000200800000320820021000000221842000000000025088000220080100009420

000000010000000400000106

Batch Quick Start

1565136000000

1565190733000

1565190733000

1565190733000

select millisecond(1639351800000) AS millisecond
FROM ignoreMe

0

select millisecond(1639351800000, 'America/St_Johns') AS millisecond
FROM ignoreMe

0

select month(1633046399000, 'UTC') AS month
FROM ignoreMe

9

select month(1633046399000, 'CET') AS month
FROM ignoreMe

10

select homeRuns, baseOnBalls, MULT(homeRuns, baseOnBalls) AS total
from baseballStats 
WHERE teamID = 'ML1' 
AND yearID = 1956 
AND playerName = 'Henry Louis'

26

37

962

Batch Quick Start
select min(yearID) AS value
from baseballStats 

1871

Batch Quick Start
SELECT isSubnetOf('192.168.0.1/24', '192.168.0.225') 
AS result
FROM myTable;
---> returns true

SELECT isSubnetOf('1.2.3.128/26', '1.2.5.1') 
AS result
FROM myTable;
---> returns false
SELECT isSubnetOf('2001:4800:7825:103::/64', '2001:4800:7825:103::2050')
AS result
FROM myTable;
---> returns true

SELECT isSubnetOf('7890:db8:113::8a2e:370:7334/127', '7890:db8:113::8a2e:370:7336') 
AS result
FROM myTable;
---> returns false
{"timestamp": "2019-10-09 21:25:25", "meta": {"age": 12}}

JSONFORMAT(meta)

"{\"age\":12}"

table config
select PERCENTILEESTMV(DivLongestGTimes, 50) AS value
from airlineStats 
where arraylength(DivLongestGTimes) > 1

10

44

108

Hybrid Quick Start
select PERCENTILETDigest(homeRuns, 50) AS value
from baseballStats 

0

3.6571905392487856

46.26787306220119

Batch Quick Start
SELECT LPAD('Hello, World', '20', '*') AS value
FROM ignoreMe

********Hello, World

select minute(1639351800000) AS minute
FROM ignoreMe

30

select minute(1639351800000, 'America/St_Johns') AS minute
FROM ignoreMe

0

select DISTINCTCOUNTBITMAPMV(DivLongestGTimes) AS value
from airlineStats 
where arraylength(DivLongestGTimes) > 1

34

2

Hybrid Quick Start
SELECT DISTINCTAVGMV(DivLongestGTimes) AS VALUE
FROM airlineStats
WHERE arraylength(DivLongestGTimes) > 1

32.4

Hybrid Quick Start

NL

UA

AL

NA

PL

AA

FL

NL

UA

AL

NA

PL

AA

FL

Batch Quick Start
select quarter(1633046399000) AS quarter
FROM ignoreMe

3

3

4

select percentile(homeRuns, 50) AS value
from baseballStats 

0

4

46

Batch Quick Start
SELECT ' Pinot with spaces  ' AS notTrimmed,
       ltrim(' Pinot with spaces ') AS trimmed
FROM ignoreMe

" Pinot with spaces "

"Pinot with spaces "

select MINMAXRANGE(yearID) AS value
from baseballStats 

142

Batch Quick Start
hashtag
Usage Examples
value

Apache Pinot

value

real-time__analytics

SELECT concat('Apache', 'Pinot', ' ') AS value
FROM ignoreMe
SELECT concat('real-time', 'analytics', '__') AS value
FROM ignoreMe
hashtag
Usage Examples

These examples are based on the Real time Quick Start.

event_id
location
hash

282776561

80406178a3d70a3d714041d5c28f5c28f6

92a8b787e81672261aad8afcf9de3aee

circle-info

The row returned will be different if you run this example as the data is ingested in real-time.

select event_id, location, MD5(location) AS hash
from meetupRsvp 
limit 1
hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

value

10

value

44

value

108

select PERCENTILEMV(DivLongestGTimes, 50) AS value
from airlineStats 
where arraylength(DivLongestGTimes) > 1
hashtag
Usage Examples

These examples are based on the Batch Quick Start.

value

0

value

4

value

46

Quantile Digestarrow-up-right
select percentileest(homeRuns, 50) AS value
from baseballStats 
select DISTINCTCOUNTRAWHLLMV(DivAirports, 1) AS value
from airlineStats 
where arraylength(DivAirports) > 1
select DISTINCTCOUNTMV(DivTailNums) AS value
from airlineStats 
where arraylength(DivTailNums) > 1
SELECT AVG(DISTINCT AtBatting) AS VALUE
FROM baseballStats
select FlightNum, 
       arrayReverseString(RandomAirports) AS reversedAirports, 
       RandomAirports
from airlineStats 
WHERE arraylength(RandomAirports) BETWEEN 2 AND 4
limit 5
select DivTailNums, 
       DivAirports,
       arrayUnionString(DivTailNums, DivAirports) AS unionIds
from airlineStats 
WHERE arraylength(DivTailNums) >= 2
limit 5
SELECT HISTOGRAM(numberOfGames, 0, 200, 10) AS histogram
FROM baseballStats 
select HISTOGRAM(AtBatting, Array['-Infinity', 1, 10, 50, 100, 500, 1000]) AS histogram
from baseballStats
select day(1639351800000, 'CET') AS day
FROM ignoreMe
select dayOfMonth(1639351800000) AS day
FROM ignoreMe
select dayOfMonth(1639351800000, 'CET') AS day
FROM ignoreMe
select DivAirportIDs, 
       arraySortInt(DivAirportIDs) AS sortedIds
from airlineStats 
WHERE arraylength(DivAirportIDs) >= 2
limit 5
select dayOfWeek(1639351800000, 'CET') AS dayOfWeek
FROM ignoreMe
select dow(1639351800000) AS dayOfWeek
FROM ignoreMe
select dow(1639351800000, 'CET') AS dayOfWeek
FROM ignoreMe
select dayOfYear(1639351800000, 'CET') AS dayOfYear
FROM ignoreMe
select doy(1639351800000) AS dayOfYear
FROM ignoreMe
select doy(1639351800000, 'CET') AS dayOfYear
FROM ignoreMe
select FlightNum, 
       arraySortString(RandomAirports) AS sortedAirports, 
       RandomAirports
from airlineStats 
WHERE arraylength(RandomAirports) BETWEEN 2 AND 4
limit 5
select DISTINCTCOUNTRAWHLL(teamID, 1) AS value
from baseballStats 
SELECT FromDateTime('2019-08-07', 'yyyy-MM-dd') AS epochMillis
FROM ignoreMe
SELECT FromDateTime(
    '2019-08-07 3:12:13 PM', 
    'yyyy-MM-dd hh:mm:ss a'
    ) AS epochMillis
FROM ignoreMe
SELECT FromDateTime(
    '2019-08-07T15:12:13', 
    'yyyy-MM-dd''T''HH:mm:ss'
    ) AS epochMillis
FROM ignoreMe
SELECT FromDateTime(
    '2019-08-07T07:12:13-0800', 
    'yyyy-MM-dd''T''HH:mm:ssZ'
    ) AS epochMillis
FROM ignoreMe
SELECT count(*) 
FROM myTable 
WHERE isSubnetOf('192.168.0.1/24', ipAddressCol);

SELECT count(*) 
FROM myTable 
WHERE isSubnetOf('192.168.0.1/24', ipAddressCol) 
OR isSubnetOf(ipPrefixCol, '7890:db8:113::8a2e:370:7336');
SELECT 
    CASE 
        WHEN isSubnetOf('105.25.245.115/27', srcIPAddress) THEN 'case1' 
        WHEN isSubnetOf('105.25.245.115/27', dstIPAddress) THEN 'case2'
        ELSE 'case3' 
    END AS differentFlow
FROM myTable;
{
   "tableConfig":{
      "ingestionConfig":{
         "transformConfigs":[
            {
               "columnName":"data",
               "transformFunction":"JSONFORMAT(meta)"
            }
         ]
      }
   }
}
select PERCENTILEESTMV(DivLongestGTimes, 90) AS value
from airlineStats 
where arraylength(DivLongestGTimes) > 1
select PERCENTILEESTMV(DivLongestGTimes, 99.9) AS value
from airlineStats 
where arraylength(DivLongestGTimes) > 1
select PERCENTILETDigest(homeRuns, 80) AS value
from baseballStats 
select PERCENTILETDigest(homeRuns, 99.9) AS value
from baseballStats 
select DISTINCTCOUNTBITMAPMV(DivTailNums) AS value
from airlineStats 
where arraylength(DivTailNums) > 1
select DISTINCT league AS value
from baseballStats 
select DISTINCT(league) AS value
from baseballStats 
select quarter(1633046399000, 'UTC') AS quarter
FROM ignoreMe
select quarter(1633046399000, 'CET') AS quarter
FROM ignoreMe
select percentile(homeRuns, 80) AS value
from baseballStats 
select percentile(homeRuns, 99.9) AS value
from baseballStats 
select PERCENTILEMV(DivLongestGTimes, 90) AS value
from airlineStats 
where arraylength(DivLongestGTimes) > 1
select PERCENTILEMV(DivLongestGTimes, 99.9) AS value
from airlineStats 
where arraylength(DivLongestGTimes) > 1
select percentileest(homeRuns, 80) AS value
from baseballStats 
select percentileest(homeRuns, 99.9) AS value
from baseballStats 
hashtag
Usage Examples

These examples are based on the Hybrid Quick Start.

FlightNum
airports
RandomAirports

671

SEA,PSC

SEA,PSC,PHX,MSY

1767

SEA,PSC

SEA,PSC,PHX

2522

SEA,PSC

SEA,PSC

Description

jsonField

An Identifier/Expression contains JSON documents.

'jsonPath'

Follows to read values from JSON documents.

circle-exclamation

'jsonPath'` is a literal. Pinot uses single quotes to distinguish them from identifiers.

hashtag
Usage Examples

The examples in this section are based on the Batch JSON Quick Start. In particular we'll be querying the row WHERE id = 7044874109.

id
repo
keys

7044874109

{"id":115911530,"name":"LimeVista/Tapes","url":"https://api.github.com/repos/LimeVista/Tapes"}

$['id'],$['name'],$['url']

DISTINCTCOUNTRAWTHETASKETCH

This section contains reference documentation for the DISTINCTCOUNTRAWTHETASKETCH function.

The Theta Sketcharrow-up-right framework enables set operations over a stream of data, and can also be used for cardinality estimation. Pinot leverages the Sketch Classarrow-up-right and its extensions from the library org.apache.datasketches:datasketches-java:1.2.0-incubating to perform distinct counting as well as evaluating set operations.

hashtag
Signature

DISTINCTCOUNTRAWTHETASKETCH(<thetaSketchColumn>, <thetaSketchParams>, predicate1, predicate2..., postAggregationExpressionToEvaluate) -> HexEncoded

  • thetaSketchColumn (required): Name of the column to aggregate on.

  • thetaSketchParams (required): Parameters for constructing the intermediate theta-sketches.

hashtag
Usage Examples

These examples are based on the .

value
value

We can also provide predicates and a post aggregation expression to compute more complicated cardinalities:

value

FromEpochBucket

This section contains reference documentation for the fromEpochBucket functions.

Convert epoch to epoch milliseconds. e.g. 10 seconds since epoch or 5 minutes since Epoch. The following time units are supported:

  • SECONDS

  • MINUTES

  • HOURS

  • DAYS

hashtag
Signature

FromEpoch<TIME_UNIT>Bucket(timeInMillis, bucketSize)

hashtag
Usage Examples

bucket
bucket
bucket
bucket
bucket

JSONPATHLONG

This section contains reference documentation for the JSONPATHLONG function.

Extracts the Long value from jsonField based on 'jsonPath', use optional defaultValuefor null or parsing error. This function can only be used in an ingestion transformation function.

hashtag
Signature

JSONPATHLONG(jsonField, 'jsonPath', [defaultValue])

Arguments
Description
circle-exclamation

'jsonPath'` is a literal. Pinot uses single quotes to distinguish them from identifiers. You can use the to test JSON expressions before you import any data.

hashtag
Usage Examples

The usage examples are based on extracting fields from the following JSON document:

Expression
Value

This function can be used in the to extract the age property into the age column, as described below:

FromEpoch

This section contains reference documentation for the fromEpoch functions.

Convert epoch to epoch milliseconds. The following time units are supported:

  • SECONDS

  • MINUTES

  • HOURS

  • DAYS

hashtag
Signature

FromEpoch<TIME_UNIT>(timeIn<Time_UNIT>)

hashtag
Usage Examples

epochMillis
epochMillis
epochMillis
epochMillis

DISTINCTCOUNTHLLMV

This section contains reference documentation for the DISTINCTCOUNTHLLMV function.

Returns an approximate distinct count using HyperLogLog in a group

hashtag
Signature

DISTINCTCOUNTHLLMV(colName)

hashtag
Usage Examples

These examples are based on the .

value

percentiletdigestmv

This section contains reference documentation for the PERCENTILETDIGESTMV function.

Returns the Nth percentile of the group using T-digest algorithmarrow-up-right.

hashtag
Signature

PERCENTILETDIGESTMV(colName, N)

hashtag
Usage Examples

These examples are based on the .

value
value
value

DATETRUNC

This section contains reference documentation for the DATETRUNC function.

(Presto) SQL compatible date truncation, equivalent to the Presto function date_trunc.

Converts the value into a specified output granularity seconds since UTC epoch that is bucketed on a unit in a specified timezone.

hashtag
Signature

jsonextractscalar

This section contains reference documentation for the JSONEXTRACTSCALAR function.

Evaluates the 'jsonPath' on jsonField, returns the result as the type 'resultsType', use optional defaultValuefor null or parsing error.

hashtag
Signature

JSONEXTRACTSCALAR(jsonField, 'jsonPath', 'resultsType', [defaultValue])

JSONPATHSTRING

This section contains reference documentation for the JSONPATHSTRING function.

Extracts the String value from jsonField based on 'jsonPath', use optional defaultValuefor null or parsing error. This function can only be used in an .

hashtag
Signature

JSONPATHARRAYDEFAULTEMPTY

This section contains reference documentation for the JSONPATHARRAYDEFAULTEMPTY function.

Extracts an array from jsonField based on 'jsonPath', the result type is inferred based on JSON value. Returns empty array for null or parsing error. This function can only be used in an .

hashtag
Signature

mode

This section contains reference documentation for the mode function.

Get the most frequent value in a group. When multiple modes are present it gives the minimum of all the modes. This behavior can be overridden to get the maximum or the average mode.

hashtag
Signature

MODE(colName, [reducerType])

select FlightNum, 
       arraySliceString(RandomAirports, 0, 2) AS airports, 
       RandomAirports
from airlineStats 
WHERE arraylength(RandomAirports) BETWEEN 2 AND 4
limit 5
select id, repo, JSONEXTRACTKEY(repo, '$.*') AS keys
from githubEvents 
WHERE id = 7044874109

424

SEA,PSC

SEA,PSC,PHX,MSY

3162

SEA,PSC

SEA,PSC,PHX,MSY

JsonPath Syntaxarrow-up-right
Currently, the only supported parameter is nominalEntries (defaults to 4096).
  • predicates (optional)_: _ These are individual predicates of form lhs <op> rhs which are applied on rows selected by the where clause. During intermediate sketch aggregation, sketches from the thetaSketchColumn that satisfies these predicates are unionized individually. For example, all filtered rows that match country=USA are unionized into a single sketch. Complex predicates that are created by combining (AND/OR) of individual predicates is supported.

  • postAggregationExpressionToEvaluate (required): The set operation to perform on the individual intermediate sketches for each of the predicates. Currently supported operations are SET_DIFF, SET_UNION, SET_INTERSECT , where DIFF requires two arguments and the UNION/INTERSECT allow more than two arguments.

  • 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

    AwMDAAAKzJMQAAAAAACAP4vpfPBbbQsO5N1zYV2cIwWFgU0GPjU6A4Z4HZBn6pEAyQE0gDhetgyKZPX85HITAQ4BGDAHtRIDEDub76OXYwoxK4moQnbYA9LogGhc8HoCE+k2atrjNwlVbhHtqowIBzd5VHUOTqwG+aRoGpTpdAT6PxG6MSaiAnshqMdjiU0EHEEaI1ZzygY=

    AQMDAAA6zJN8QPYIsvHMNQ==

    Batch Quick Start

    1613472303000

    3226944606000

    1613472000000

    1613466000000

    1613088000000

    jsonField

    An Identifier/Expression contains JSON documents.

    'jsonPath'

    Follows JsonPath Syntaxarrow-up-right to read values from JSON documents.

    JSONPATHLONG(data, '$.age')

    24

    Jayway JsonPath Evaluator Toolarrow-up-right
    table config

    1613472303000

    1613472300000

    1613469600000

    1613433600000

    select DISTINCTCOUNTHLLMV(DivLongestGTimes) AS value
    from airlineStats 
    where arraylength(DivLongestGTimes) > 1

    34

    Hybrid Quick Start
    select PERCENTILETDIGESTMV(DivLongestGTimes, 50) AS value
    from airlineStats 
    where arraylength(DivLongestGTimes) > 1

    10

    44

    108

    Hybrid Quick Start
    DATETRUNC(unit, timeValue)

    DATETRUNC(unit, timeValue, inputTimeUnitStr)

    DATETRUNC(unit, timeValue, inputTimeUnitStr, timeZone)

    DATETRUNC(unit, timeValue, inputTimeUnitStr, timeZone, outputTimeUnitStr)

    unit supports the following values:

    • millisecond

    • second

    • minute

    • hour

    • day

    • week

    • month

    • quarter

    • year

    inputTimeUnitStr and outputTimeUnitStr support the following values:

    • NANOSECONDS

    • MICROSECONDS

    • MILLISECONDS

    • SECONDS

    • MINUTES

    • HOURS

    • DAYS

    hashtag
    Usage Examples

    Truncates an epoch in milliseconds at WEEK (where a Week starts at Monday UTC midnight):

    or

    ts

    1639353600000

    Truncates an epoch in milliseconds at WEEK (where a Week starts at Monday UTC midnight) in the UTC time zone, returning a result in epoch in seconds in UTC timezone:

    ts

    1639353600

    Truncates an epoch in milliseconds at WEEK (where a Week starts at Monday UTC midnight) in the CET time zone, returning a result in epoch in seconds in UTC timezone:

    ts

    1639350000

    Truncates an epoch in milliseconds at QUARTER in the Los Angeles time zone (where a Quarter begins on Jan 1st, April 1st, July 1st, October 1st in Los Angeles timezone), returning a result in hours since UTC epoch:

    ts

    453631

    hashtag
    Usage Examples

    These examples are based on the Batch Quick Start.

    value

    2008

    value

    2010

    value

    2008

    value

    2012

    select mode(yearID) AS value
    from baseballStats 
    WHERE AtBatting != 0 AND yearID > 2001
    select distinctCountRawThetaSketch(teamID) AS value
    from baseballStats 
    select distinctCountRawThetaSketch(teamID, 'nominalEntries=10') AS value
    from baseballStats
    select distinctCountRawThetaSketch(
      yearID, 
      'nominalEntries=4096', 
      'teamID = ''SFN'' AND numberOfGames=28 AND homeRuns=1',
      'teamID = ''CHN'' AND numberOfGames=28 AND homeRuns=1',
      'SET_INTERSECT($1, $2)'
    ) AS value
    from baseballStats 
    select FromEpochSecondsBucket(1613472303, 1) AS bucket
    FROM ignoreMe
    select FromEpochSecondsBucket(1613472303, 2) AS bucket
    FROM ignoreMe
    select FromEpochMinutesBucket(2689120, 10) AS bucket
    FROM ignoreMe
    select FromEpochHoursBucket(89637, 5) AS bucket
    FROM ignoreMe
    select FromEpochDaysBucket(1867, 10) AS bucket
    FROM ignoreMe
    {
      "data": {
        "name": "Pete",
        "age": 24,
        "subjects": [
          {
            "name": "maths",
            "homework_grades": [80, 85, 90, 95, 100],
            "grade": "A",
            "score": 90
          },
          {
            "name": "english",
            "homework_grades": [60, 65, 70, 85, 90],
            "grade": "B",
            "score": 70
          }
        ]
      }
    }
    {
       "tableConfig":{
          "ingestionConfig":{
             "transformConfigs":[
                {
                   "columnName":"age",
                   "transformFunction":"JSONPATHLONG(data, '$.age')"
                }
             ]
          }
       }
    }
    select FromEpochSeconds(1613472303) AS epochMillis
    FROM ignoreMe
    select FromEpochMinutes(26891205) AS epochMillis
    FROM ignoreMe
    select FromEpochHours(448186) AS epochMillis
    FROM ignoreMe
    select FromEpochDays(18674) AS epochMillis
    FROM ignoreMe
    select PERCENTILETDIGESTMV(DivLongestGTimes, 90) AS value
    from airlineStats 
    where arraylength(DivLongestGTimes) > 1
    select PERCENTILETDIGESTMV(DivLongestGTimes, 99.9) AS value
    from airlineStats 
    where arraylength(DivLongestGTimes) > 1
    select dateTrunc('week', 1639480981746) AS ts
    FROM ignoreMe
    select dateTrunc('week', 1639480981746, 'MILLISECONDS') AS ts
    FROM ignoreMe
    select dateTrunc(
      'week', 
      1639480981746, 
      'MILLISECONDS', 
      'UTC', 
      'SECONDS'
    ) AS ts
    FROM ignoreMe
    select dateTrunc(
      'week', 
      1639480981746, 
      'MILLISECONDS', 
      'CET', 
      'SECONDS'
    ) AS ts
    FROM ignoreMe
    select dateTrunc(
      'quarter', 
      1639480981746, 
      'MILLISECONDS', 
      'America/Los_Angeles', 
      'HOURS'
    ) AS ts
    FROM ignoreMe
    select mode(yearID, 'AVG') AS value
    from baseballStats 
    WHERE AtBatting != 0 AND yearID > 2001
    select mode(yearID, 'MIN') AS value
    from baseballStats 
    WHERE AtBatting != 0 AND yearID > 2001
    select mode(yearID, 'MAX') AS value
    from baseballStats 
    WHERE AtBatting != 0 AND yearID > 2001
    Arguments
    Description

    jsonField

    An Identifier/Expression contains JSON documents.

    'jsonPath'

    Follows to read values from JSON documents.

    'results_type'

    One of the Pinot supported data types:INT, LONG, FLOAT, DOUBLE, BOOLEAN, TIMESTAMP, STRING,

    INT_ARRAY, LONG_ARRAY, FLOAT_ARRAY, DOUBLE_ARRAY, STRING_ARRAY.

    circle-exclamation

    'jsonPath'and`` ``'results_type'are literals. Pinot uses single quotes to distinguish them from identifiers.

    hashtag
    Usage Examples

    The examples in this section are based on the Batch JSON Quick Start. In particular we'll be querying the row WHERE id = 7044874109:

    repo

    {"id":115911530,"name":"LimeVista/Tapes","url":"https://api.github.com/repos/LimeVista/Tapes"}

    The following examples show how to use the JSONEXTRACTSCALAR function:

    id
    name

    7044874109

    LimeVista/Tapes

    id
    name

    7044874109

    dummyValue

    JSONPATHSTRING(jsonField, 'jsonPath', [defaultValue])
    Arguments
    Description

    jsonField

    An Identifier/Expression contains JSON documents.

    'jsonPath'

    Follows to read values from JSON documents.

    circle-exclamation

    'jsonPath'` is a literal. Pinot uses single quotes to distinguish them from identifiers. You can use the Jayway JsonPath Evaluator Toolarrow-up-right to test JSON expressions before you import any data.

    hashtag
    Usage Examples

    The usage examples are based on extracting fields from the following JSON document:

    Expression
    Value

    JSONPATHSTRING(data, '$.age')

    "24"

    JSONPATHSTRING(data, '$.name["nick.name"]')

    "Pete"

    This function can be used in the table config to extract the age property into the age column, as described below:

    ingestion transformation function
    JSONPATHARRAYDEFAULTEMPTY(jsonField, 'jsonPath')
    Arguments
    Description

    jsonField

    An Identifier/Expression contains JSON documents.

    'jsonPath'

    Follows to read values from JSON documents.

    circle-exclamation

    'jsonPath'` is a literal. Pinot uses single quotes to distinguish them from identifiers. You can use the Jayway JsonPath Evaluator Toolarrow-up-right to test JSON expressions before you import any data.

    hashtag
    Usage Examples

    The usage examples are based on extracting fields from the following JSON document:

    Expression
    Value

    JSONPATHARRAYDEFAULTEMPTY(myJsonRecord, '$.subjects[*].name')

    ["maths", "english"]

    JSONPATHARRAYDEFAULTEMPTY(myJsonRecord, '$.subjects[*].score')

    [90, 70]

    JSONPATHARRAYDEFAULTEMPTY(myJsonRecord, '$.subjects[*].homework_grades[1]')

    [85, 65]

    JSONPATHARRAYDEFAULTEMPTY(myJsonRecord, '$.subjects[*].homework_grades[7]')

    []

    This function can be used in the table config to extract the name, score, and second value of homework_grades into their respective columns , as described below:

    ingestion transformation function

    JSONPATH

    This section contains reference documentation for the JSONPATH function.

    Extracts the object value from jsonField based on 'jsonPath', the result type is inferred based on JSON value. This function can only be used in an ingestion transformation function.

    hashtag
    Signature

    JSONPATH(jsonField, 'jsonPath')

    Arguments
    Description
    circle-exclamation

    'jsonPath'` is a literal. Pinot uses single quotes to distinguish them from identifiers. You can use the to test JSON expressions before you import any data.

    hashtag
    Usage Examples

    The usage examples are based on extracting fields from the following JSON document:

    Expression
    Value

    This function can be used in the to extract the name property into the name column and age property into the age column, as described below:

    JSONPATHARRAY

    This section contains reference documentation for the JSONPATHARRAY function.

    Extracts an array from jsonField based on 'jsonPath', the result type is inferred based on JSON value. This function can only be used in an ingestion transformation function.

    hashtag
    Signature

    JSONPATHARRAY(jsonField, 'jsonPath')

    Arguments
    Description
    circle-exclamation

    'jsonPath'` is a literal. Pinot uses single quotes to distinguish them from identifiers. You can use the to test JSON expressions before you import any data.

    hashtag
    Usage Examples

    The usage examples are based on extracting fields from the following JSON document:

    Expression
    Value

    This function can be used in the to extract the name, score, and second value of homework_grades into their respective columns , as described below:

    JSONPATHDOUBLE

    This section contains reference documentation for the JSONPATHDOUBLE function.

    Extracts the Double value from jsonField based on 'jsonPath', use optional defaultValuefor null or parsing error. This function can only be used in an ingestion transformation function.

    hashtag
    Signature

    JSONPATHDOUBLE(jsonField, 'jsonPath', [defaultValue])

    Arguments
    Description
    circle-exclamation

    'jsonPath'` is a literal. Pinot uses single quotes to distinguish them from identifiers. You can use the to test JSON expressions before you import any data.

    hashtag
    Usage Examples

    The usage examples are based on extracting fields from the following JSON document:

    Expression
    Value

    This function can be used in the to extract the age property into the age column, as described below:

    DISTINCTCOUNTTHETASKETCH

    This section contains reference documentation for the DISTINCTCOUNTTHETASKETCH function.

    The framework enables set operations over a stream of data, and can also be used for cardinality estimation. Pinot leverages the and its extensions from the library org.apache.datasketches:datasketches-java:1.2.0-incubating to perform distinct counting as well as evaluating set operations.

    hashtag
    Signature

    select repo
    from githubEvents 
    WHERE id = 7044874109
    select id, jsonextractscalar(repo, '$.name', 'STRING') AS name
    from githubEvents 
    WHERE id = 7044874109
    select id, jsonextractscalar(repo, '$.foo', 'STRING') AS name
    from githubEvents 
    WHERE id = 7044874109
    [
      {
        "message": "QueryExecutionError:\njava.lang.RuntimeException: Illegal Json Path: [$.foo], when reading [{\"id\":115911530,\"name\":\"LimeVista/Tapes\",\"url\":\"https://api.github.com/repos/LimeVista/Tapes\"}]\n\tat org.apache.pinot.core.operator.transform.function.JsonExtractScalarTransformFunction.transformToStringValuesSV(JsonExtractScalarTransformFunction.java:254)\n\tat org.apache.pinot.core.operator.docvalsets.TransformBlockValSet.getStringValuesSV(TransformBlockValSet.java:90)\n\tat org.apache.pinot.core.common.RowBasedBlockValueFetcher.createFetcher(RowBasedBlockValueFetcher.java:64)\n\tat org.apache.pinot.core.common.RowBasedBlockValueFetcher.<init>(RowBasedBlockValueFetcher.java:32)",
        "errorCode": 200
      }
    ]
    select id, jsonextractscalar(repo, '$.foo', 'STRING', 'dummyValue') AS name
    from githubEvents 
    WHERE id = 7044874109
    {
      "data": {
        "name": {"full.name": "Peter", "nick.name": "Pete"},
        "age": 24,
        "subjects": [
          {
            "name": "maths",
            "homework_grades": [80, 85, 90, 95, 100],
            "grade": "A",
            "score": 90
          },
          {
            "name": "english",
            "homework_grades": [60, 65, 70, 85, 90],
            "grade": "B",
            "score": 70
          }
        ]
      }
    }
    {
       "tableConfig":{
          "ingestionConfig":{
             "transformConfigs":[
                {
                   "columnName":"age",
                   "transformFunction":"JSONPATHSTRING(data, '$.age')"
                },
                {
                   "columnName":"nickName",
                   "transformFunction":"JSONPATHSTRING(data, '$.name[\"nick.name\"]')"
                }
             ]
          }
       }
    }
    {
      "data": {
        "name": "Pete",
        "age": 24,
        "subjects": [
          {
            "name": "maths",
            "homework_grades": [80, 85, 90, 95, 100],
            "grade": "A",
            "score": 90
          },
          {
            "name": "english",
            "homework_grades": [60, 65, 70, 85, 90],
            "grade": "B",
            "score": 70
          }
        ]
      }
    }
    {
       "tableConfig":{
          "ingestionConfig":{
             "transformConfigs":[
                {
                   "columnName":"names",
                   "transformFunction":"JSONPATHARRAYDEFAULTEMPTY(data, '$.subjects[*].name')"
                },
                {
                   "columnName":"ages",
                   "transformFunction":"JSONPATHARRAYDEFAULTEMPTY(data, '$.subjects[*].score')"
                },
                {
                   "columnName":"homeworkGrades",
                   "transformFunction":"JSONPATHARRAYDEFAULTEMPTY(data, '$.subjects[*].homework_grades[1]')"
                }
             ]
          }
       }
    }
    JsonPath Syntaxarrow-up-right
    JsonPath Syntaxarrow-up-right
    JsonPath Syntaxarrow-up-right

    jsonField

    An Identifier/Expression contains JSON documents.

    'jsonPath'

    Follows JsonPath Syntaxarrow-up-right to read values from JSON documents.

    JSONPATH(data, '$.name')

    "Pete"

    JSONPATH(data, '$.age')

    24

    Jayway JsonPath Evaluator Toolarrow-up-right
    table config

    jsonField

    An Identifier/Expression contains JSON documents.

    'jsonPath'

    Follows JsonPath Syntaxarrow-up-right to read values from JSON documents.

    JSONPATHARRAY(myJsonRecord, '$.subjects[*].name')

    ["maths", "english"]

    JSONPATHARRAY(myJsonRecord, '$.subjects[*].score')

    [90, 70]

    JSONPATHARRAY(myJsonRecord, '$.subjects[*].homework_grades[1]')

    [85, 65]

    Jayway JsonPath Evaluator Toolarrow-up-right
    table config

    jsonField

    An Identifier/Expression contains JSON documents.

    'jsonPath'

    Follows JsonPath Syntaxarrow-up-right to read values from JSON documents.

    JSONPATHDOUBLE(data, '$.age')

    24.0

    Jayway JsonPath Evaluator Toolarrow-up-right
    table config
    DistinctCountThetaSketch(
    <thetaSketchColumn>, <thetaSketchParams>, predicate1, predicate2..., postAggregationExpressionToEvaluate
    ) -> Long
    • thetaSketchColumn (required): Name of the column to aggregate on.

    • thetaSketchParams (required): Parameters for constructing the intermediate theta-sketches.

      • Currently, the only supported parameter is nominalEntries (defaults to 4096).

    • predicates (optional)_: _ These are individual predicates of form lhs <op> rhs which are applied on rows selected by the where clause. During intermediate sketch aggregation, sketches from the thetaSketchColumn that satisfies these predicates are unionized individually. For example, all filtered rows that match country=USA are unionized into a single sketch. Complex predicates that are created by combining (AND/OR) of individual predicates is supported.

    • postAggregationExpressionToEvaluate (required): The set operation to perform on the individual intermediate sketches for each of the predicates. Currently supported operations are SET_DIFF, SET_UNION, SET_INTERSECT , where DIFF requires two arguments and the UNION/INTERSECT allow more than two arguments.

    hashtag
    Usage Examples

    These examples are based on the Batch Quick Start.

    value

    149

    value

    146

    We can also provide predicates and a post aggregation expression to compute more complicated cardinalities. For example, we could can find the intersection of the following queries:

    yearID

    1986

    1985

    yearID

    1937

    2003

    1979

    1900

    1986

    1978

    2012

    (the yearId 1986 is the only one in common)

    By running the following query:

    value

    1

    Theta Sketcharrow-up-right
    Sketch Classarrow-up-right
    {
      "data": {
        "name": "Pete",
        "age": 24,
        "subjects": [
          {
            "name": "maths",
            "homework_grades": [80, 85, 90, 95, 100],
            "grade": "A",
            "score": 90
          },
          {
            "name": "english",
            "homework_grades": [60, 65, 70, 85, 90],
            "grade": "B",
            "score": 70
          }
        ]
      }
    }
    {
       "tableConfig":{
          "ingestionConfig":{
             "transformConfigs":[
                {
                   "columnName":"name",
                   "transformFunction":"JSONPATHSTRING(data, '$.name')"
                },
                {
                   "columnName":"age",
                   "transformFunction":"JSONPATHSTRING(data, '$.age')"
                }
             ]
          }
       }
    }
    {
      "data": {
        "name": "Pete",
        "age": 24,
        "subjects": [
          {
            "name": "maths",
            "homework_grades": [80, 85, 90, 95, 100],
            "grade": "A",
            "score": 90
          },
          {
            "name": "english",
            "homework_grades": [60, 65, 70, 85, 90],
            "grade": "B",
            "score": 70
          }
        ]
      }
    }
    {
       "tableConfig":{
          "ingestionConfig":{
             "transformConfigs":[
                {
                   "columnName":"names",
                   "transformFunction":"JSONPATHARRAY(data, '$.subjects[*].name')"
                },
                {
                   "columnName":"ages",
                   "transformFunction":"JSONPATHARRAY(data, '$.subjects[*].score')"
                },
                {
                   "columnName":"homeworkGrades",
                   "transformFunction":"JSONPATHARRAY(data, '$.subjects[*].homework_grades[1]')"
                }
             ]
          }
       }
    }
    {
      "data": {
        "name": "Pete",
        "age": 24,
        "subjects": [
          {
            "name": "maths",
            "homework_grades": [80, 85, 90, 95, 100],
            "grade": "A",
            "score": 90
          },
          {
            "name": "english",
            "homework_grades": [60, 65, 70, 85, 90],
            "grade": "B",
            "score": 70
          }
        ]
      }
    }
    {
       "tableConfig":{
          "ingestionConfig":{
             "transformConfigs":[
                {
                   "columnName":"age",
                   "transformFunction":"JSONPATHDOUBLE(data, '$.age')"
                }
             ]
          }
       }
    }
    select distinctCountThetaSketch(teamID) AS value
    from baseballStats 
    select distinctCountThetaSketch(teamID, 'nominalEntries=10') AS value
    from baseballStats
    select yearID
    from baseballStats
    where teamID = 'SFN' AND numberOfGames = 28 AND homeRuns = 1
    select yearID
    from baseballStats
    where teamID = 'CHN' AND numberOfGames = 28 AND homeRuns = 1
    select distinctCountThetaSketch(
      yearID, 
      'nominalEntries=4096', 
      'teamID = ''SFN'' AND numberOfGames=28 AND homeRuns=1',
      'teamID = ''CHN'' AND numberOfGames=28 AND homeRuns=1',
      'SET_INTERSECT($1, $2)'
    ) AS value
    from baseballStats 

    DATETIMECONVERT

    This section contains reference documentation for the DATETIMECONVERT function.

    Converts the value from a column that contains an epoch timestamp into another time unit and buckets based on the given time granularity.

    hashtag
    Signature

    DATETIMECONVERT(columnName, inputFormat, outputFormat, outputGranularity)

    inputFormat

    and
    outputFormat
    are defined using the following structure:

    <time size>:<time unit>:<time format>:<pattern>

    where:

    • time size - size of the time unit eg: 1, 10

    • time unit - DAYS, HOURS, MINUTES, SECONDS, MILLISECONDS, MICROSECONDS, NANOSECONDS

    • time format

      • EPOCH

      • SIMPLE_DATE_FORMAT pattern - defined in case of

    granularity is specified in the format <time size>:<time unit>.

    hashtag
    Usage Examples

    These examples are based on the Batch JSON Quick Start.

    created_at_timestamp from milliseconds since epoch to days since epoch, bucketed to 1 day granularity:

    id
    created_at_timestamp
    timeInMs
    convertedTime

    7044874109

    2018-01-01 11:00:00.0

    1514804402000

    17532

    created_at_timestamp bucketed to 15 minutes granularity:

    id
    created_at_timestamp
    timeInMs
    convertedTime

    7044874109

    2018-01-01 11:00:00.0

    1514804402000

    1514804400000

    created_at_timestamp to format yyyy-MM-dd, bucketed to 1 days granularity:

    id
    created_at_timestamp
    timeInMs
    convertedTime

    7044874109

    2018-01-01 11:00:00.0

    1514804402000

    2018-01-01

    created_at_timestamp to format yyyy-MM-dd HH:mm, in timezone Pacific/Kiritimati:

    id
    created_at_timestamp
    timeInMs
    convertedTime

    7044874109

    2018-01-01 11:00:00.0

    1514804402000

    2018-01-02 01:00

    created_at_timestamp to format yyyy-MM-dd, in timezone Pacific/Kiritimati and bucketed to 1 day granularity:

    id
    created_at_timestamp
    timeInMs
    convertedTime

    7044874109

    2018-01-01 11:00:00.0

    1514804402000

    2018-01-02 00:00

    select id, 
           created_at_timestamp, 
           cast(created_at_timestamp AS long) AS timeInMs,
           DATETIMECONVERT(
             created_at_timestamp, 
             '1:MILLISECONDS:EPOCH', 
             '1:DAYS:EPOCH', 
             '1:DAYS'
           ) AS convertedTime
    from githubEvents
    WHERE id = 7044874134
    select id, 
           created_at_timestamp, 
           cast(created_at_timestamp AS long) AS timeInMs,
           DATETIMECONVERT(
             created_at_timestamp, 
             '1:MILLISECONDS:EPOCH', 
             '1:MILLISECONDS:EPOCH', 
             '15:MINUTES'
           ) AS convertedTime
    from githubEvents
    WHERE id = 7044874134
    select id, 
           created_at_timestamp, 
           cast(created_at_timestamp AS long) AS timeInMs,
           DATETIMECONVERT(
             created_at_timestamp, 
             '1:MILLISECONDS:EPOCH', 
             '1:DAYS:SIMPLE_DATE_FORMAT:yyyy-MM-dd', 
             '1:DAYS'
           ) AS convertedTime
    from githubEvents
    WHERE id = 7044874134
    select id, 
           created_at_timestamp, 
           cast(created_at_timestamp AS long) AS timeInMs,
           DATETIMECONVERT(
             created_at_timestamp, 
             '1:MILLISECONDS:EPOCH', 
             '1:MILLISECONDS:SIMPLE_DATE_FORMAT:yyyy-MM-dd HH:mm tz(Pacific/Kiritimati)', 
             '1:MILLISECONDS'
           ) AS convertedTime
    from githubEvents
    WHERE id = 7044874134
    select id, 
           created_at_timestamp, 
           cast(created_at_timestamp AS long) AS timeInMs,
           DATETIMECONVERT(
             created_at_timestamp, 
             '1:MILLISECONDS:EPOCH', 
             '1:MILLISECONDS:SIMPLE_DATE_FORMAT:yyyy-MM-dd HH:mm tz(Pacific/Kiritimati)', 
             '1:DAYS'
           ) AS convertedTime
    from githubEvents
    WHERE id = 7044874134
    SIMPLE_DATE_FORMAT
    e.g.
    yyyy-MM-dd
    . A specific timezone can be passed using
    tz(timezone)
    . Timezone can be long or short string format timezone. e.g.
    Asia/Kolkata
    or
    PDT