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Xuri Nagarin commented on SPARK-1719: ------------------------------------- Is this related? When I run spark-shell with "--master yarn --driver-library-path /opt/cloudera/parcels/GPLEXTRAS/lib/hadoop/lib/native/", then I can load a lzo file as: val textFile = sc.textFile("/some/lzo/file.lzo") textFile.first() <returns a string from the file> textFile.count() org.apache.spark.SparkException: Job aborted due to stage failure: Task 3.0:0 failed 4 times, most recent failure: Exception failure in TID 7 on host node1-9-ops.abc.net: java.lang.RuntimeException: native-lzo library not available com.hadoop.compression.lzo.LzopCodec.getDecompressorType(LzopCodec.java:96) org.apache.hadoop.io.compress.CodecPool.getDecompressor(CodecPool.java:176) org.apache.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:110) org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67) org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:193) org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:184) org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:93) org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) org.apache.spark.rdd.RDD.iterator(RDD.scala:229) org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31) org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) org.apache.spark.rdd.RDD.iterator(RDD.scala:229) org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111) org.apache.spark.scheduler.Task.run(Task.scala:51) org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187) java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) java.lang.Thread.run(Thread.java:745) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633) at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) at akka.actor.ActorCell.invoke(ActorCell.scala:456) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) at akka.dispatch.Mailbox.run(Mailbox.scala:219) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386) at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) > spark.executor.extraLibraryPath isn't applied on yarn > ----------------------------------------------------- > > Key: SPARK-1719 > URL: https://issues.apache.org/jira/browse/SPARK-1719 > Project: Spark > Issue Type: Sub-task > Components: YARN > Affects Versions: 1.0.0 > Reporter: Thomas Graves > Assignee: Guoqiang Li > Fix For: 1.1.0 > > > Looking through the code for spark on yarn I don't see that > spark.executor.extraLibraryPath is being properly applied when it launches > executors. It is using the spark.driver.libraryPath in the ClientBase. > Note I didn't actually test it so its possible I missed something. > I also think better to use LD_LIBRARY_PATH rather then -Djava.library.path. > once java.library.path is set, it doesn't search LD_LIBRARY_PATH. In Hadoop > we switched to use LD_LIBRARY_PATH instead of java.library.path. See > https://issues.apache.org/jira/browse/MAPREDUCE-4072. I'll split this into > separate jira. -- This message was sent by Atlassian JIRA (v6.2#6252)