Yesha Vora created SPARK-19096:
----------------------------------
Summary: 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
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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