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我正在尝试将 zeppelin 配置为与 HDP 2.3 (Spark 1.3) 一起使用。我已经通过 Ambari 成功安装了 zeppelin，并且 zeppelin 服务正在运行。

但是当我尝试运行任何%pyspark命令时，我收到以下错误。

我读了几篇博客，但似乎在 Python 和 Spark 之间共享的 Java 6 和 Java 7 上编译的 jar 存在一些问题。

Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.runJob.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID 7, sandbox.hortonworks.com): org.apache.spark.SparkException: 
Error from python worker:
  /usr/bin/python: No module named pyspark
PYTHONPATH was:
  /opt/incubator-zeppelin/interpreter/spark/zeppelin-spark-0.6.0-incubating-SNAPSHOT.jar
java.io.EOFException
    at java.io.DataInputStream.readInt(DataInputStream.java:392)
    at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:163)
    at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:86)
    at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:62)
    at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:105)
    at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
    at org.apache.spark.scheduler.Task.run(Task.scala:64)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:745)

Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1204)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1193)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1192)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1192)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
    at scala.Option.foreach(Option.scala:236)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:693)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1393)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1354)
    at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)

(<class 'py4j.protocol.Py4JJavaError'>, Py4JJavaError(u'An error occurred while calling z:org.apache.spark.api.python.PythonRDD.runJob.\n', JavaObject id=o68), <traceback object at 0x2618bd8>)
Took 0 seconds
4

2 回答 2

2

如果您有以下行，您可以检查您的 zeppelin-env.sh 吗？

export PYTHONPATH=${SPARK_HOME}/python

如果缺少，可以通过 Ambari 在 Zeppelin > Configs > Advanced zeppelin-env > zeppelin-env 模板下添加

虽然，如果您使用zeppelin 的最新版本的 Ambari 服务安装，那么它应该为您完成此操作： https ://github.com/hortonworks-gallery/ambari-zeppelin-service/blob/master/configuration/zeppelin-env .xml#L63

于 2015-08-29T18:17:40.930 回答
0

我刚刚使用 Ambari 2.1 在 Centos 6.5 上设置了新的 HDP 2.3 设置（2.3.0.0-2557），并使用 Ambari zeppelin 服务（使用默认配置）安装了 zeppelin。Pyspark 似乎对我来说很好用。

根据您的错误，听起来 PYTHONPATH 没有设置为正确的值：

PYTHONPATH was:
  /opt/incubator-zeppelin/interpreter/spark/zeppelin-spark-0.6.0-incubating-SNAPSHOT.jar

在 zeppelin 中，您可以在单元格中输入以下内容并运行它并提供输出吗？

System.getenv().get("MASTER")
System.getenv().get("SPARK_YARN_JAR")
System.getenv().get("HADOOP_CONF_DIR")
System.getenv().get("JAVA_HOME")
System.getenv().get("SPARK_HOME")
System.getenv().get("PYSPARK_PYTHON")
System.getenv().get("PYTHONPATH")
System.getenv().get("ZEPPELIN_JAVA_OPTS")

这是我的设置的输出：

res41: String = yarn-client
res42: String = hdfs:///apps/zeppelin/zeppelin-spark-0.6.0-SNAPSHOT.jar
res43: String = /etc/hadoop/conf
res44: String = /usr/java/default
res45: String = /usr/hdp/current/spark-client/
res46: String = null
res47: String = /usr/hdp/current/spark-client//python:/usr/hdp/current/spark-client//python/lib/pyspark.zip:/usr/hdp/current/spark-client//python/lib/py4j-0.8.2.1-src.zip
res48: String = -Dhdp.version=2.3.0.0-2557 -Dspark.executor.memory=512m -Dspark.yarn.queue=default
于 2015-09-13T02:18:47.533 回答