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https://issues.apache.org/jira/browse/SPARK-40660?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-40660.
---------------------------------
Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 38106
[https://github.com/apache/spark/pull/38106]
> Switch to XORShiftRandom to distribute elements
> -----------------------------------------------
>
> Key: SPARK-40660
> URL: https://issues.apache.org/jira/browse/SPARK-40660
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.4.0
> Reporter: Yuming Wang
> Assignee: Yuming Wang
> Priority: Major
> Fix For: 3.4.0
>
>
> {code:scala}
> import java.util.Random
> import org.apache.spark.util.random.XORShiftRandom
> import scala.util.hashing
> def distribution(count: Int, partition: Int) = {
> println((1 to count).map(partitionId => new
> Random(partitionId).nextInt(partition))
> .groupBy(f => f)
> .map(_._2.size).mkString(". "))
> println((1 to count).map(partitionId => new
> Random(hashing.byteswap32(partitionId)).nextInt(partition))
> .groupBy(f => f)
> .map(_._2.size).mkString(". "))
> println((1 to count).map(partitionId => new
> XORShiftRandom(partitionId).nextInt(partition))
> .groupBy(f => f)
> .map(_._2.size).mkString(". "))
> }
> distribution(200, 4)
> {code}
> {noformat}
> 200
> 50. 60. 46. 44
> 55. 48. 43. 54
> {noformat}
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