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https://issues.apache.org/jira/browse/SPARK-5350?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-5350.
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Resolution: Not a Problem
Hadoop dependencies should be 'provided' as well, so that you pick up the
cluster's version when you run spark-submit. Use mvn dependency:tree to
understand where other 1.x dependencies could be coming from.
I think this is a question that could continue on the mailing list if needed,
as so far it does not look like any Spark issue. It can be reopened if that
proves incorrect.
> There are issues when combining Spark and CDK (https://github.com/egonw/cdk).
> ------------------------------------------------------------------------------
>
> Key: SPARK-5350
> URL: https://issues.apache.org/jira/browse/SPARK-5350
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.1.1, 1.2.0
> Environment: Running Spark using a local computer, using both Mac OS
> X and a VM with Linux Ubuntu.
> Reporter: Staffan Arvidsson
>
> 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:
> {quote}
> [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$2.apply(RDD.scala:203)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1328)
> at org.apache.spark.rdd.RDD.foreach(RDD.scala:765)
> {quote}
> later in the log:
> {quote}
> [Executor task launch worker-0] DEBUG org.apache.spark.deploy.SparkHadoopUtil
> - Couldn't find method for retrieving thread-level FileSystem input data
> java.lang.NoSuchMethodException:
> org.apache.hadoop.fs.FileSystem$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)
> {quote}
> 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.
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