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https://issues.apache.org/jira/browse/SPARK-5316?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-5316:
-----------------------------
Component/s: (was: Spark Core)
Scheduler
> DAGScheduler may make shuffleToMapStage leak if getParentStages failes
> ----------------------------------------------------------------------
>
> Key: SPARK-5316
> URL: https://issues.apache.org/jira/browse/SPARK-5316
> Project: Spark
> Issue Type: Bug
> Components: Scheduler
> Reporter: YanTang Zhai
> Priority: Minor
>
> DAGScheduler may make shuffleToMapStage leak if getParentStages failes.
> If getParentStages has exception for example input path does not exist,
> DAGScheduler would fail to handle job submission, while shuffleToMapStage may
> be put some records when getParentStages. However these records in
> shuffleToMapStage aren't going to be cleaned.
> A simple job as follows:
> {code:java}
> val inputFile1 = ... // Input path does not exist when this job submits
> val inputFile2 = ...
> val outputFile = ...
> val conf = new SparkConf()
> val sc = new SparkContext(conf)
> val rdd1 = sc.textFile(inputFile1)
> .flatMap(line => line.split(" "))
> .map(word => (word, 1))
> .reduceByKey(_ + _, 1)
> val rdd2 = sc.textFile(inputFile2)
> .flatMap(line => line.split(","))
> .map(word => (word, 1))
> .reduceByKey(_ + _, 1)
> try {
> val rdd3 = new PairRDDFunctions(rdd1).join(rdd2, 1)
> rdd3.saveAsTextFile(outputFile)
> } catch {
> case e : Exception =>
> logError(e)
> }
> // print the information of DAGScheduler's shuffleToMapStage to check
> // whether it still has uncleaned records.
> ...
> {code}
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