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https://issues.apache.org/jira/browse/SPARK-10216?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10216:
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Assignee: Apache Spark
> Avoid creating empty files during overwrite into Hive table with group by
> query
> -------------------------------------------------------------------------------
>
> Key: SPARK-10216
> URL: https://issues.apache.org/jira/browse/SPARK-10216
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Keuntae Park
> Assignee: Apache Spark
> Priority: Minor
>
> Exchange from GROUP BY query results in at least certain amount of partitions
> specified in 'spark.sql.shuffle.partition'.
> Hence, even when the number of distinct group-by key is small,
> INSERT INTO with GROUP BY query try to make at least 200 files (default value
> of 'spark.sql.shuffle.partition'),
> which results in lots of empty files.
> I think it is undesirable because upcoming queries on the resulting table
> will also make zero size partitions and unnecessary tasks do nothing on
> handling the queries.
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