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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/04/05 23:37:00 UTC
[jira] [Assigned] (SPARK-34961) Migrate First function from
DeclarativeAggregate to TypedImperativeAggregate to improve performance
[ https://issues.apache.org/jira/browse/SPARK-34961?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-34961:
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Assignee: (was: Apache Spark)
> Migrate First function from DeclarativeAggregate to TypedImperativeAggregate to improve performance
> ---------------------------------------------------------------------------------------------------
>
> Key: SPARK-34961
> URL: https://issues.apache.org/jira/browse/SPARK-34961
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Pablo Langa Blanco
> Priority: Minor
>
> The main objective of this change is to improve performance in some cases.
> We have three possibilities when we plan an aggregation. In the first case, with mutable primitive types, HashAggregate is used.
> When we are not using these types we have two options. If the function implements TypedImperativeAggregate we use ObjectHashAggregate. Otherwise, we use SortAggregate that is less efficient.
> In this PR I propose to migrate First function to implement TypedImperativeAggregate to take advantage of this feature (ObjectAggregateExec)
> This Jira is related to SPARK-34464
>
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