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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:36:00 UTC
[jira] [Resolved] (SPARK-16269) Support null handling for
vectorized hashmap during hash aggregate
[ https://issues.apache.org/jira/browse/SPARK-16269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-16269.
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Resolution: Incomplete
> Support null handling for vectorized hashmap during hash aggregate
> ------------------------------------------------------------------
>
> Key: SPARK-16269
> URL: https://issues.apache.org/jira/browse/SPARK-16269
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Qifan Pu
> Priority: Minor
> Labels: bulk-closed
>
> The current impl of vectorized hashmap does not support null keys. This patch fix the problem by adding `generateFindOrInsertWithNullable()` method in `VectorizedHashMapGenerator.scala`, which code-generates another version of `findOrInsert` that handles null keys. We need null support so the aggregate logic does not have to fallback to BytesToBytesMap. This would also us to remove BytesToBytesMap completely.
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