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Posted to issues@spark.apache.org by "Herman van Hovell (JIRA)" <ji...@apache.org> on 2015/08/20 17:55:45 UTC
[jira] [Commented] (SPARK-10100) Eliminate hash table lookup if
there is no grouping key in aggregation.
[ https://issues.apache.org/jira/browse/SPARK-10100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14705161#comment-14705161 ]
Herman van Hovell commented on SPARK-10100:
-------------------------------------------
You are using a grouping key in this query. This doesn't seem related to the proposed solution (no grouping keys), how are they related?
> Eliminate hash table lookup if there is no grouping key in aggregation.
> -----------------------------------------------------------------------
>
> Key: SPARK-10100
> URL: https://issues.apache.org/jira/browse/SPARK-10100
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Yin Huai
> Assignee: Reynold Xin
> Fix For: 1.5.0
>
> Attachments: SPARK-10100.perf.test.scala
>
>
> *Update: The title of this jira has been changed to "Eliminate hash table lookup if there is no grouping key in aggregation."*. For the Max and Min expressions, we can revisit them later if we find a better way to improve the performance and open a new jira.
> *The original title of this JIRA is "AggregateFunction2's Max is slower than AggregateExpression1's MaxFunction"*. Below is the original description:
> Looks like Max (probably Min) implemented based on AggregateFunction2 is slower than the old MaxFunction.
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