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Posted to dev@crunch.apache.org by "Nithin Asokan (JIRA)" <ji...@apache.org> on 2015/09/21 16:59:04 UTC
[jira] [Commented] (CRUNCH-560) SparkPipeline should honor Spark
Hadoop configuration
[ https://issues.apache.org/jira/browse/CRUNCH-560?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14900785#comment-14900785 ]
Nithin Asokan commented on CRUNCH-560:
--------------------------------------
[~jwills] Do you have any thoughts on this jira?
> SparkPipeline should honor Spark Hadoop configuration
> -----------------------------------------------------
>
> Key: CRUNCH-560
> URL: https://issues.apache.org/jira/browse/CRUNCH-560
> Project: Crunch
> Issue Type: Bug
> Components: Spark
> Reporter: Nithin Asokan
> Attachments: CRUNCH-560-001.patch
>
>
> Executing a SparkPipeline using {{SparkPipeline(String sparkConnect, String appName, Class<?> jarClass, Configuration conf)}} constructor and {{yarn-cluster}} mode via Oozie Spark action causes a ClassNotFoundException during job creation. The problem appears to be Spark not being able to read Crunch InputFormats from Hadoop configuration.
> {code}
> 15/09/18 00:06:39 WARN scheduler.DAGScheduler: Creating new stage failed due to exception - job: 0
> java.lang.RuntimeException: readObject can't find class
> at org.apache.crunch.io.FormatBundle.readClass(FormatBundle.java:158)
> at org.apache.crunch.io.FormatBundle.readFields(FormatBundle.java:133)
> at org.apache.crunch.io.FormatBundle.fromSerialized(FormatBundle.java:62)
> at org.apache.crunch.io.CrunchInputs.getFormatNodeMap(CrunchInputs.java:79)
> at org.apache.crunch.impl.mr.run.CrunchInputFormat.getSplits(CrunchInputFormat.java:45)
> at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:95)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:66)
> at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:66)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:66)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> at org.apache.spark.ShuffleDependency.<init>(Dependency.scala:82)
> at org.apache.spark.rdd.ShuffledRDD.getDependencies(ShuffledRDD.scala:80)
> at org.apache.spark.rdd.RDD$$anonfun$dependencies$2.apply(RDD.scala:206)
> at org.apache.spark.rdd.RDD$$anonfun$dependencies$2.apply(RDD.scala:204)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.dependencies(RDD.scala:204)
> at org.apache.spark.scheduler.DAGScheduler.visit$1(DAGScheduler.scala:298)
> at org.apache.spark.scheduler.DAGScheduler.getParentStages(DAGScheduler.scala:310)
> at org.apache.spark.scheduler.DAGScheduler.newStage(DAGScheduler.scala:244)
> at org.apache.spark.scheduler.DAGScheduler.handleJobSubmitted(DAGScheduler.scala:731)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1362)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1354)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> Caused by: java.lang.ClassNotFoundException: Class org.apache.crunch.types.avro.AvroInputFormat not found
> at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2018)
> at org.apache.crunch.io.FormatBundle.readClass(FormatBundle.java:156)
> ... 84 more
> {code}
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