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https://issues.apache.org/jira/browse/SPARK-38137?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jakub Leś updated SPARK-38137:
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Component/s: Shuffle
> Repartition+Shuffle+ non deterministic function leads to bad results
> --------------------------------------------------------------------
>
> Key: SPARK-38137
> URL: https://issues.apache.org/jira/browse/SPARK-38137
> Project: Spark
> Issue Type: Bug
> Components: Shuffle, Spark Core
> Affects Versions: 3.1.1, 3.2.1
> Reporter: Jakub Leś
> Priority: Major
>
> Hi,
> The results when using a non deterministic function in repartition (like
> rand) leads into incorrect results.
> Reproduce: (correct)
>
> {code:java}
> // code placeholder
> import scala.sys.process._
> import org.apache.spark.TaskContext
> import org.apache.spark.sql.functions.randval res = spark.range(0, 100 * 100,
> 1).repartition(200).map { x =>
> x
> }.repartition(200).map { x =>
> if (TaskContext.get.attemptNumber == 0 && TaskContext.get.partitionId < 2) {
> throw new Exception("pkill -f java".!!)
> }
> x
> }
> res.distinct().count() {code}
> The correct result 10000
> Reproduce: (bad)
>
> {code:java}
> // code placeholder
> import scala.sys.process._
> import org.apache.spark.TaskContext
> import org.apache.spark.sql.functions.randval res = spark.range(0, 100 * 100,
> 1).repartition(200).map { x =>
> x
> }.repartition(10, Array(rand):_*).map { x =>
> if (TaskContext.get.attemptNumber == 0 && TaskContext.get.partitionId < 2) {
> throw new Exception("pkill -f java".!!)
> }
> x
> }
> res.distinct().count() {code}
> The bad result 9396
>
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