[SPARK-5350] There are issues when combining Spark and CDK (https://github.com/egonw/cdk).

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Not A Problem
• Affects Version/s: 1.1.1, 1.2.0
• Component/s: Spark Core

Environment

Running Spark using a local computer, using both Mac OS X and a VM with Linux Ubuntu.

• Assignee: Unassigned
• Reporter: Staffan Arvidsson
• Created: 21/Jan/15 15:17
• Updated: 23/Jan/15 14:23
• Resolved: 23/Jan/15 10:42

Description

I'm using Maven and Eclipse to build my project. When I import the CDK (https://github.com/egonw/cdk) jar-files that I need, and setup the SparkContext and try for instance reading a file (by simply "val lines = sc.textFile(filePath)") I get the following errors in the log:

[main] DEBUG org.apache.spark.rdd.HadoopRDD - SplitLocationInfo and other new Hadoop classes are unavailable. Using the older Hadoop location info code.
java.lang.ClassNotFoundException: org.apache.hadoop.mapred.InputSplitWithLocationInfo
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:191)
at org.apache.spark.rdd.HadoopRDD$SplitInfoReflections.<init>(HadoopRDD.scala:381)
at org.apache.spark.rdd.HadoopRDD$.liftedTree1$1(HadoopRDD.scala:391)
at org.apache.spark.rdd.HadoopRDD$.<init>(HadoopRDD.scala:390)
at org.apache.spark.rdd.HadoopRDD$.<clinit>(HadoopRDD.scala)
at org.apache.spark.rdd.HadoopRDD.getJobConf(HadoopRDD.scala:159)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:194)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
at org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1328)
at org.apache.spark.rdd.RDD.foreach(RDD.scala:765)

later in the log:

[Executor task launch worker-0] DEBUG org.apache.spark.deploy.SparkHadoopUtil - Couldn't find method for retrieving thread-level FileSystem input data
java.lang.NoSuchMethodException: org.apache.hadoop.fs.FileSystem$Statistics.getThreadStatistics()
at java.lang.Class.getDeclaredMethod(Class.java:2009)
at org.apache.spark.util.Utils$.invoke(Utils.scala:1733)
at org.apache.spark.deploy.SparkHadoopUtil$$anonfun$getFileSystemThreadStatistics$1.apply(SparkHadoopUtil.scala:178)
at org.apache.spark.deploy.SparkHadoopUtil$$anonfun$getFileSystemThreadStatistics$1.apply(SparkHadoopUtil.scala:178)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.AbstractTraversable.map(Traversable.scala:105)
at org.apache.spark.deploy.SparkHadoopUtil.getFileSystemThreadStatistics(SparkHadoopUtil.scala:178)
at org.apache.spark.deploy.SparkHadoopUtil.getFSBytesReadOnThreadCallback(SparkHadoopUtil.scala:138)
at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:220)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:210)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:99)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:56)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)

There has also been issues related to "HADOOP_HOME" not being set etc., but which seems to be intermittent and only occur sometimes.

After testing different versions of both CDK and Spark, I've found out that the Spark version 0.9.1 seems to get things to work. This will not solve my problem though, as I will later need to use functionality from the MLlib that are only in the newer versions of Spark.