Filtering with IdSet

Learn how to write fast queries for looking up IDs in a list of values.

Filtering with IdSet is only supported with the single-stage query engine (v1).

A common use case is filtering on an id field with a list of values. This can be done with the IN clause, but using IN doesn't perform well with large lists of IDs. For large lists of IDs, we recommend using an IdSet.

Functions

ID_SET

ID_SET(columnName, 'sizeThresholdInBytes=8388608;expectedInsertions=5000000;fpp=0.03' )

This function returns a base 64 encoded IdSet of the values for a single column. The IdSet implementation used depends on the column data type:

• INT - RoaringBitmap unless sizeThresholdInBytes is exceeded, in which case Bloom Filter.

• LONG - Roaring64NavigableMap unless sizeThresholdInBytes is exceeded, in which case Bloom Filter.

• Other types - Bloom Filter

The following parameters are used to configure the Bloom Filter:

• expectedInsertions - Number of expected insertions for the BloomFilter, must be positive

• fpp - False positive probability to use for the BloomFilter. Must be positive and less than 1.0.

Note that when a Bloom Filter is used, the filter results are approximate - you can get false-positive results (for membership in the set), leading to potentially unexpected results.

IN_ID_SET

IN_ID_SET(columnName, base64EncodedIdSet)

This function returns 1 if a column contains a value specified in the IdSet and 0 if it does not.

IN_SUBQUERY

IN_SUBQUERY(columnName, subQuery)

This function generates an IdSet from a subquery and then filters ids based on that IdSet on a Pinot broker.

IN__PARTITIONED__SUBQUERY

IN_PARTITIONED_SUBQUERY(columnName, subQuery)

This function generates an IdSet from a subquery and then filters ids based on that IdSet on a Pinot server.

This function works best when the data is partitioned by the id column and each server contains all the data for a partition. The generated IdSet for the subquery will be smaller as it will only contain the ids for the partitions served by the server. This will give better performance.

The query passed to IN_SUBQUERY can be run on any table - they aren't restricted to the table used in the parent query.

The query passed to IN__PARTITIONED__SUBQUERY must be run on the same table as the parent query.

Examples

Create IdSet

You can create an IdSet of the values in the yearID column by running the following:

SELECT ID_SET(yearID)
FROM baseballStats
WHERE teamID = 'WS1'

idset(yearID)
ATowAAABAAAAAAA7ABAAAABtB24HbwdwB3EHcgdzB3QHdQd2B3cHeAd5B3oHewd8B30Hfgd/B4AHgQeCB4MHhAeFB4YHhweIB4kHigeLB4wHjQeOB48HkAeRB5IHkweUB5UHlgeXB5gHmQeaB5sHnAedB54HnwegB6EHogejB6QHpQemB6cHqAc=

When creating an IdSet for values in non INT/LONG columns, we can configure the expectedInsertions:

SELECT ID_SET(playerName, 'expectedInsertions=10')
FROM baseballStats
WHERE teamID = 'WS1'

idset(playerName)
AwIBBQAAAAL/////////////////////

SELECT ID_SET(playerName, 'expectedInsertions=100')
FROM baseballStats
WHERE teamID = 'WS1'

idset(playerName)
AwIBBQAAAAz///////////////////////////////////////////////9///////f///9/////7///////////////+/////////////////////////////////////////////8=

We can also configure the fpp parameter:

SELECT ID_SET(playerName, 'expectedInsertions=100;fpp=0.01')
FROM baseballStats
WHERE teamID = 'WS1'

idset(playerName)
AwIBBwAAAA/////////////////////////////////////////////////////////////////////////////////////////////////////////9///////////////////////////////////////////////7//////8=

Filter by values in IdSet

We can use the IN_ID_SET function to filter a query based on an IdSet. To return rows for _yearID_s in the IdSet, run the following:

SELECT yearID, count(*) 
FROM baseballStats 
WHERE IN_ID_SET(
 yearID,   
 'ATowAAABAAAAAAA7ABAAAABtB24HbwdwB3EHcgdzB3QHdQd2B3cHeAd5B3oHewd8B30Hfgd/B4AHgQeCB4MHhAeFB4YHhweIB4kHigeLB4wHjQeOB48HkAeRB5IHkweUB5UHlgeXB5gHmQeaB5sHnAedB54HnwegB6EHogejB6QHpQemB6cHqAc='
  ) = 1 
GROUP BY yearID

Filter by values not in IdSet

To return rows for _yearID_s not in the IdSet, run the following:

SELECT yearID, count(*) 
FROM baseballStats 
WHERE IN_ID_SET(
  yearID,   
  'ATowAAABAAAAAAA7ABAAAABtB24HbwdwB3EHcgdzB3QHdQd2B3cHeAd5B3oHewd8B30Hfgd/B4AHgQeCB4MHhAeFB4YHhweIB4kHigeLB4wHjQeOB48HkAeRB5IHkweUB5UHlgeXB5gHmQeaB5sHnAedB54HnwegB6EHogejB6QHpQemB6cHqAc='
  ) = 0 
GROUP BY yearID

Filter on broker

To filter rows for _yearID_s in the IdSet on a Pinot Broker, run the following query:

SELECT yearID, count(*) 
FROM baseballStats 
WHERE IN_SUBQUERY(
  yearID, 
  'SELECT ID_SET(yearID) FROM baseballStats WHERE teamID = ''WS1'''
  ) = 1
GROUP BY yearID  

To filter rows for _yearID_s not in the IdSet on a Pinot Broker, run the following query:

SELECT yearID, count(*) 
FROM baseballStats 
WHERE IN_SUBQUERY(
  yearID, 
  'SELECT ID_SET(yearID) FROM baseballStats WHERE teamID = ''WS1'''
  ) = 0
GROUP BY yearID  

Filter on server

To filter rows for _yearID_s in the IdSet on a Pinot Server, run the following query:

SELECT yearID, count(*) 
FROM baseballStats 
WHERE IN_PARTITIONED_SUBQUERY(
  yearID, 
  'SELECT ID_SET(yearID) FROM baseballStats WHERE teamID = ''WS1'''
  ) = 1
GROUP BY yearID  

To filter rows for _yearID_s not in the IdSet on a Pinot Server, run the following query:

SELECT yearID, count(*) 
FROM baseballStats 
WHERE IN_PARTITIONED_SUBQUERY(
  yearID, 
  'SELECT ID_SET(yearID) FROM baseballStats WHERE teamID = ''WS1'''
  ) = 0
GROUP BY yearID