[
https://issues.apache.org/jira/browse/SPARK-14044?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Imran Rashid resolved SPARK-14044.
----------------------------------
Resolution: Duplicate
I'm resolving this as a duplicate of SPARK-19563 -- please re-open if I'm
mistaken.
> Allow configuration of DynamicPartitionWriterContainer#writeRows to bypass
> sort step
> ------------------------------------------------------------------------------------
>
> Key: SPARK-14044
> URL: https://issues.apache.org/jira/browse/SPARK-14044
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 1.6.1
> Reporter: Bob Tiernay
> Priority: Major
>
> It would be very useful to allow the disabling of this block of code within
> {{DynamicPartitionWriterContainer#writeRows}} at runtime:
> https://github.com/apache/spark/blob/8ef3399aff04bf8b7ab294c0f55bcf195995842b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/WriterContainer.scala#L379-L418
> The use case is that an upstream {{groupBy}} has already sorted a great many
> fine grained groups which are the target of the {{partitionBy}}. This
> {{partitionBy}} shares the same keys as the {{groupBy}}. Currently, we can't
> even get Spark to succeed due to the sort step and data skew in the
> partitions. In general, this would make more efficient use of cluster
> resources.
> For this to work, there needs to be a way to communicate between the
> {{groupBy}} and the {{partitionBy}} by way of some runtime configuration.
> This is very similar in function to Hive's
> {{hive.optimize.sort.dynamic.partition}} parameter.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
