[ https://issues.apache.org/jira/browse/SPARK-45889?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jungtaek Lim updated SPARK-45889: --------------------------------- Summary: Implement push-down filter with partition ID and grouping key (if possible) for state data source reader (was: Implement push-down filter with partition ID and grouping key (if possible)) > Implement push-down filter with partition ID and grouping key (if possible) > for state data source reader > -------------------------------------------------------------------------------------------------------- > > Key: SPARK-45889 > URL: https://issues.apache.org/jira/browse/SPARK-45889 > Project: Spark > Issue Type: Task > Components: Structured Streaming > Affects Versions: 4.0.0 > Reporter: Jungtaek Lim > Priority: Major > > If the query filters the state data via partition ID, it is a good chance for > state data source to avoid spinning all state store instances and wasting > resource. We can spin state store instances for only necessary partitions. > Same thing applies to grouping keys, although the criteria on distribution is > bound to the operator rather than the key in state store, hence it could be > very tricky unless we can follow the same criteria on distribution for the > operator. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org