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https://issues.apache.org/jira/browse/SPARK-22084?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22084:
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Assignee: Apache Spark
> Performance regression in aggregation strategy
> ----------------------------------------------
>
> Key: SPARK-22084
> URL: https://issues.apache.org/jira/browse/SPARK-22084
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.0.0, 2.0.1, 2.0.2, 2.1.0, 2.1.1, 2.2.0
> Reporter: StanZhai
> Assignee: Apache Spark
> Labels: performance
>
> {code:sql}
> SELECT a, SUM(b) AS b0, SUM(b) AS b1
> FROM VALUES(1, 1), (2, 2) AS (a, b)
> GROUP BY a
> {code}
> Two exactly the same SUM(b) expressions in the SQL, and the following is the
> physical plan in Spark 2.x.
> {code}
> == Physical Plan ==
> *HashAggregate(keys=[a#11], functions=[sum(cast(b#12 as bigint)),
> sum(cast(b#12 as bigint))])
> +- Exchange hashpartitioning(a#11, 200)
> +- *HashAggregate(keys=[a#11], functions=[partial_sum(cast(b#12 as
> bigint)), partial_sum(cast(b#12 as bigint))])
> +- LocalTableScan [a#11, b#12]
> {code}
> functions in Aggregate should be: functions=[partial_sum(cast(b#12 as
> bigint))]
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