Sergey Zhemzhitsky created SPARK-21549:
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Summary: Spark fails to abort 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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