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https://issues.apache.org/jira/browse/BEAM-6812?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ankit Jhalaria updated BEAM-6812:
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Description:
* During calls to Combine.perKey, we want they keys used to have consistent
hashCode when invoked from different JVM's.
* However, while testing this in our company we found out that when using
protobuf as keys during combine, the hashCodes can be different for the same
key when invoked from different JVMs. This results in duplicates.
* `ByteArray` class in Spark has a stable has code when dealing with arrays as
well.
* GroupByKey correctly converts keys to `ByteArray` and uses coders for
serialization.
* The fix does something similar when dealing with combines.
> Convert keys to ByteArray in Combine.perKey for Spark
> -----------------------------------------------------
>
> Key: BEAM-6812
> URL: https://issues.apache.org/jira/browse/BEAM-6812
> Project: Beam
> Issue Type: Bug
> Components: runner-spark
> Reporter: Ankit Jhalaria
> Assignee: Ankit Jhalaria
> Priority: Critical
> Time Spent: 2h
> Remaining Estimate: 0h
>
> * During calls to Combine.perKey, we want they keys used to have consistent
> hashCode when invoked from different JVM's.
> * However, while testing this in our company we found out that when using
> protobuf as keys during combine, the hashCodes can be different for the same
> key when invoked from different JVMs. This results in duplicates.
> * `ByteArray` class in Spark has a stable has code when dealing with arrays
> as well.
> * GroupByKey correctly converts keys to `ByteArray` and uses coders for
> serialization.
> * The fix does something similar when dealing with combines.
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