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Posted to issues@spark.apache.org by "Dongjoon Hyun (JIRA)" <ji...@apache.org> on 2019/07/16 16:42:13 UTC
[jira] [Updated] (SPARK-23661) Implement treeAggregate on Dataset
API
[ https://issues.apache.org/jira/browse/SPARK-23661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-23661:
----------------------------------
Affects Version/s: (was: 2.4.0)
3.0.0
> Implement treeAggregate on Dataset API
> --------------------------------------
>
> Key: SPARK-23661
> URL: https://issues.apache.org/jira/browse/SPARK-23661
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Liang-Chi Hsieh
> Priority: Major
>
> Many algorithms in MLlib are still not migrated their internal computing workload from {{RDD}} to {{DataFrame}}. {{treeAggregate}} is one of obstacles we need to address in order to see complete migration.
> This ticket is opened to provide {{treeAggregate}} on Dataset API. For now this should be a private API used by ML component.
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