[
https://issues.apache.org/jira/browse/SPARK-21549?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sergey Zhemzhitsky updated SPARK-21549:
---
Description:
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.(Path.java:135)
at org.apache.hadoop.fs.Path.(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.
was:
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.(Path.java:135)
at org.apache.hadoop.fs.Path.(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
