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https://issues.apache.org/jira/browse/SPARK-23599?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23599:
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Assignee: Apache Spark
> The UUID() expression is too non-deterministic
> ----------------------------------------------
>
> Key: SPARK-23599
> URL: https://issues.apache.org/jira/browse/SPARK-23599
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: Herman van Hovell
> Assignee: Apache Spark
> Priority: Critical
>
> The current {{Uuid()}} expression uses {{java.util.UUID.randomUUID}} for UUID
> generation. There are a couple of major problems with this:
> - It is non-deterministic across task retries. This breaks Spark's processing
> model, and this will to very hard to trace bugs, like non-deterministic
> shuffles, duplicates and missing rows.
> - It uses a single secure random for UUID generation. This uses a single JVM
> wide lock, and this can lead to lock contention and other performance
> problems.
> We should move to something that is deterministic between retries. This can
> be done by using seeded PRNGs for which we set the seed during planning. It
> is important here to use a PRNG that provides enough entropy for creating a
> proper UUID.
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