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https://issues.apache.org/jira/browse/SPARK-21549?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sergey Zhemzhitsky updated SPARK-21549:
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Summary: Spark fails to complete job correctly in case of custom
OutputFormat implementations (was: Spark fails to abort job correctly in case
of custom OutputFormat implementations)
> Spark fails to complete job correctly in case of custom OutputFormat
> implementations
> ------------------------------------------------------------------------------------
>
> Key: SPARK-21549
> URL: https://issues.apache.org/jira/browse/SPARK-21549
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.2.0
> Environment: spark 2.2.0
> scala 2.11
> Reporter: Sergey Zhemzhitsky
> Priority: Critical
>
> Spark fails to abort job correctly in case of custom OutputFormat
> implementations.
> There are OutputFormat implementations which do not need to use
> *mapreduce.output.fileoutputformat.outputdir* standard hadoop property.
> [But spark reads this property from the
> configuration|https://github.com/apache/spark/blob/v2.2.0/core/src/main/scala/org/apache/spark/internal/io/SparkHadoopMapReduceWriter.scala#L79]
> while setting up an OutputCommitter
> {code:javascript}
> val committer = FileCommitProtocol.instantiate(
> className = classOf[HadoopMapReduceCommitProtocol].getName,
> jobId = stageId.toString,
> outputPath = conf.value.get("mapreduce.output.fileoutputformat.outputdir"),
> isAppend = false).asInstanceOf[HadoopMapReduceCommitProtocol]
> committer.setupJob(jobContext)
> {code}
> In that case if job fails Spark executes
> [committer.abortJob|https://github.com/apache/spark/blob/v2.2.0/core/src/main/scala/org/apache/spark/internal/io/SparkHadoopMapReduceWriter.scala#L106]
> {code:javascript}
> committer.abortJob(jobContext)
> {code}
> ... and fails with the following exception
> {code}
> Can not create a Path from a null string
> java.lang.IllegalArgumentException: Can not create a Path from a null string
> at org.apache.hadoop.fs.Path.checkPathArg(Path.java:123)
> at org.apache.hadoop.fs.Path.<init>(Path.java:135)
> at org.apache.hadoop.fs.Path.<init>(Path.java:89)
> at
> org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.absPathStagingDir(HadoopMapReduceCommitProtocol.scala:58)
> at
> org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.abortJob(HadoopMapReduceCommitProtocol.scala:141)
> at
> org.apache.spark.internal.io.SparkHadoopMapReduceWriter$.write(SparkHadoopMapReduceWriter.scala:106)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1085)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
> at
> org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:1084)
> {code}
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