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https://issues.apache.org/jira/browse/SPARK-21549?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16105630#comment-16105630
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Mridul Muralidharan edited comment on SPARK-21549 at 7/28/17 10:14 PM:
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This affects both mapred ("mapred.output.dir") and mapreduce
("mapreduce.output.fileoutputformat.outputdir") based OutputFormat's which do
not set the properties referenced and is an incompatibility introduced in spark
2.2
Workaround is to explicitly set the property to a dummy value (which is valid
and writable by user).
was (Author: mridulm80):
This affects both mapred ("mapred.output.dir") and mapreduce
("mapreduce.output.fileoutputformat.outputdir") based OutputFormat's which do
not set the properties referenced and is an incompatibility introduced in spark
2.2
Workaround is to explicitly set the property to a dummy value.
> Spark fails to complete job correctly in case of OutputFormat which do not
> write into hdfs
> ------------------------------------------------------------------------------------------
>
> 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
>
> Spark fails to complete 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}
> ... and then uses this property later on while [commiting the
> job|https://github.com/apache/spark/blob/v2.2.0/core/src/main/scala/org/apache/spark/internal/io/HadoopMapReduceCommitProtocol.scala#L132],
> [aborting the
> job|https://github.com/apache/spark/blob/v2.2.0/core/src/main/scala/org/apache/spark/internal/io/HadoopMapReduceCommitProtocol.scala#L141],
> [creating task's temp
> path|https://github.com/apache/spark/blob/v2.2.0/core/src/main/scala/org/apache/spark/internal/io/HadoopMapReduceCommitProtocol.scala#L95]
> In that cases when the job completes then following exception is thrown
> {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}
> So it seems that all the jobs which use OutputFormats which don't write data
> into HDFS-compatible file systems are broken.
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