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Posted to issues@spark.apache.org by "Yesha Vora (JIRA)" <ji...@apache.org> on 2017/01/06 02:02:58 UTC
[jira] [Reopened] (SPARK-19096) Kmeans.py application fails with
virtualenv and due to parse error
[ https://issues.apache.org/jira/browse/SPARK-19096?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yesha Vora reopened SPARK-19096:
--------------------------------
> Kmeans.py application fails with virtualenv and due to parse error
> --------------------------------------------------------------------
>
> Key: SPARK-19096
> URL: https://issues.apache.org/jira/browse/SPARK-19096
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Reporter: Yesha Vora
>
> Spark version : 2
> Steps:
> * Install virtualenv ( pip install virtualenv)
> * create requirements.txt (pip freeze > /tmp/requirements.txt)
> * start kmeans.py application in yarn-client mode.
> The application fails with Runtime Exception
> {code:title=app log}
> 17/01/05 19:49:59 INFO deprecation: mapred.task.partition is deprecated. Instead, use mapreduce.task.partition
> 17/01/05 19:49:59 INFO deprecation: mapred.job.id is deprecated. Instead, use mapreduce.job.id
> Invalid requirement: 'pip freeze'
> Traceback (most recent call last):
> File "/grid/0/hadoop/yarn/local/usercache/hrt_qa/appcache/application_1483592608863_0006/container_1483592608863_0006_01_000002/virtualenv_application_1483592608863_0006_0/lib/python2.7/site-packages/pip/req/req_install.py", line 82, in __init__
> req = Requirement(req)
> File "/grid/0/hadoop/yarn/local/usercache/hrt_qa/appcache/application_1483592608863_0006/container_1483592608863_0006_01_000002/virtualenv_application_1483592608863_0006_0/lib/python2.7/site-packages/pip/_vendor/packaging/requirements.py", line 96, in __init__
> requirement_string[e.loc:e.loc + 8]))
> InvalidRequirement: Invalid requirement, parse error at "u'freeze'"
> 17/01/05 19:50:03 WARN BlockManager: Putting block rdd_3_0 failed due to an exception
> 17/01/05 19:50:03 WARN BlockManager: Block rdd_3_0 could not be removed as it was not found on disk or in memory
> 17/01/05 19:50:03 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
> {code}
> {code:title=job client log}
> 17/01/05 19:50:07 WARN TaskSetManager: Lost task 0.1 in stage 0.0 (TID 2, xxx.site, executor 1): java.lang.RuntimeException: Fail to run command: virtualenv_application_1483592608863_0006_1/bin/python -m pip --cache-dir /home/yarn install -r requirements.txt
> at org.apache.spark.api.python.PythonWorkerFactory.execCommand(PythonWorkerFactory.scala:142)
> at org.apache.spark.api.python.PythonWorkerFactory.setupVirtualEnv(PythonWorkerFactory.scala:128)
> at org.apache.spark.api.python.PythonWorkerFactory.<init>(PythonWorkerFactory.scala:70)
> at org.apache.spark.SparkEnv$$anonfun$createPythonWorker$1.apply(SparkEnv.scala:117)
> at org.apache.spark.SparkEnv$$anonfun$createPythonWorker$1.apply(SparkEnv.scala:117)
> at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:194)
> at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:80)
> at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:116)
> at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:128)
> at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
> at org.apache.spark.rdd.RDD$$anonfun$8.apply(RDD.scala:336)
> at org.apache.spark.rdd.RDD$$anonfun$8.apply(RDD.scala:334)
> at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:957)
> at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:948)
> at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:888)
> at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:948)
> at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:694)
> at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:334)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:285)
> at org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:89)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:99)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
> 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){code}
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