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https://issues.apache.org/jira/browse/SPARK-12319?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-12319:
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Labels: big-endian bulk-closed (was: big-endian)
> ExchangeCoordinatorSuite fails on big-endian platforms
> ------------------------------------------------------
>
> Key: SPARK-12319
> URL: https://issues.apache.org/jira/browse/SPARK-12319
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 1.6.0
> Environment: Problems apparent on BE, LE could be impacted too
> Reporter: Adam Roberts
> Priority: Minor
> Labels: big-endian, bulk-closed
>
> JIRA to cover endian specific problems - since testing 1.6 I've noticed
> problems with DataFrames on BE platforms, e.g.
> https://issues.apache.org/jira/browse/SPARK-9858
> [~joshrosen] [~yhuai]
> Current progress: using com.google.common.io.LittleEndianDataInputStream and
> com.google.common.io.LittleEndianDataOutputStream within UnsafeRowSerializer
> fixes three test failures in ExchangeCoordinatorSuite but I'm concerned
> around performance/wider functional implications
> "org.apache.spark.sql.DatasetAggregatorSuite.typed aggregation: class input
> with reordering" fails as we expect "one, 1" but instead get "one, 9" - we
> believe the issue lies within BitSetMethods.java, specifically around: return
> (wi << 6) + subIndex + java.lang.Long.numberOfTrailingZeros(word);
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