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Kazuaki Ishizaki commented on SPARK-28699: ------------------------------------------ [~dongjoon] Thank you for pointing out my typo. You are right. I should have said {2.3.4-rc1}. Actually, while I was doing the following, it is not reflected at the repository yet! After fixing this, let me restart the release process for {2.3.4-rc1}. {code} Release details: BRANCH: branch-2.3 VERSION: 2.3.4 TAG: v2.3.4-rc1 {code} > Cache an indeterminate RDD could lead to incorrect result while stage rerun > --------------------------------------------------------------------------- > > Key: SPARK-28699 > URL: https://issues.apache.org/jira/browse/SPARK-28699 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 3.0.0 > Reporter: Yuanjian Li > Priority: Major > Labels: correctness > > Related with SPARK-23207 SPARK-23243 > It's another case for the indeterminate stage/RDD rerun while stage rerun > happened. In the CachedRDDBuilder. > We can reproduce this by the following code, thanks to Tyson for reporting > this! > > {code:scala} > import scala.sys.process._ > import org.apache.spark.TaskContext > val res = spark.range(0, 10000 * 10000, 1).map\{ x => (x % 1000, x)} > // kill an executor in the stage that performs repartition(239) > val df = res.repartition(113).cache.repartition(239).map { x => > if (TaskContext.get.attemptNumber == 0 && TaskContext.get.partitionId < 1 && > TaskContext.get.stageAttemptNumber == 0) { > throw new Exception("pkill -f -n java".!!) > } > x > } > val r2 = df.distinct.count() > {code} -- This message was sent by Atlassian Jira (v8.3.2#803003) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org