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https://issues.apache.org/jira/browse/SPARK-37536?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-37536:
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Assignee: (was: Apache Spark)
> Allow for API user to disable Shuffle Operations while running locally
> ----------------------------------------------------------------------
>
> Key: SPARK-37536
> URL: https://issues.apache.org/jira/browse/SPARK-37536
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.3.0
> Environment: Spark running in local mode
> Reporter: Rodrigo Boavida
> Priority: Major
>
> We have been using Spark on local mode, as a small embedded, in-memory SQL DB
> for our microservice.
> Spark's powerful SQL features, and flexibility enables developers to build
> efficient data querying solutions. Due to the nature of our solution dealing
> with small datasets, which required to be queried through SQL, on very low
> latencies, we found the embedded approach a very good model.
> We found through experimentation, that Spark on local mode, would gain
> significant performance improvements (on average between 20-30%) by disabling
> the shuffling on aggregation operations. This is done by expanding the query
> execution plan with ShuffleExchangeExec or the BroadcastExchangeExec.
> I will be raising a PR, to propose introducing a new configuration variable
> *spark.sql.localMode.shuffle.enabled*
> This variable will default to true, and will be checked on the QueryExecution
> EnsureRequirements creation time, in conjunction with checking if Spark is
> running on local mode, will keep the execution plan unchanged if the value is
> false.
> Looking forward any comments and feedback.
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