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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2014/08/13 21:04:12 UTC
[jira] [Commented] (SPARK-3013) Doctest of inferSchema in Spark SQL
Python API fails
[ https://issues.apache.org/jira/browse/SPARK-3013?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14095942#comment-14095942 ]
Apache Spark commented on SPARK-3013:
-------------------------------------
User 'davies' has created a pull request for this issue:
https://github.com/apache/spark/pull/1928
> Doctest of inferSchema in Spark SQL Python API fails
> ----------------------------------------------------
>
> Key: SPARK-3013
> URL: https://issues.apache.org/jira/browse/SPARK-3013
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.0.2
> Reporter: Cheng Lian
> Assignee: Davies Liu
> Priority: Blocker
>
> Doctest of `inferSchema` in `sql.py` keeps failing and makes Jenkins crazy:
> {code}
> File "/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/sql.py", line 1021, in pyspark.sql.SQLContext.inferSchema
> Failed example:
> srdd.collect()
> Exception raised:
> Traceback (most recent call last):
> File "/usr/lib64/python2.6/doctest.py", line 1253, in __run
> compileflags, 1) in test.globs
> File "<doctest pyspark.sql.SQLContext.inferSchema[6]>", line 1, in <module>
> srdd.collect()
> File "/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/sql.py", line 1613, in collect
> rows = RDD.collect(self)
> File "/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/rdd.py", line 724, in collect
> bytesInJava = self._jrdd.collect().iterator()
> File "/home/jenkins/workspace/SparkPullRequestBuilder/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__
> self.target_id, self.name)
> File "/home/jenkins/workspace/SparkPullRequestBuilder/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value
> format(target_id, '.', name), value)
> Py4JJavaError: An error occurred while calling o399.collect.
> : org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 35.0 failed 1 times, most recent failure: Lost task 1.0 in stage 35.0 (TID 72, localhost): java.lang.ClassCastException: java.lang.String cannot be cast to java.util.ArrayList
> net.razorvine.pickle.objects.ArrayConstructor.construct(ArrayConstructor.java:33)
> net.razorvine.pickle.Unpickler.load_reduce(Unpickler.java:617)
> net.razorvine.pickle.Unpickler.dispatch(Unpickler.java:170)
> net.razorvine.pickle.Unpickler.load(Unpickler.java:84)
> net.razorvine.pickle.Unpickler.loads(Unpickler.java:97)
> org.apache.spark.api.python.PythonRDD$$anonfun$pythonToJavaArray$1$$anonfun$apply$4.apply(PythonRDD.scala:722)
> org.apache.spark.api.python.PythonRDD$$anonfun$pythonToJavaArray$1$$anonfun$apply$4.apply(PythonRDD.scala:721)
> scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> scala.collection.Iterator$GroupedIterator.fill(Iterator.scala:966)
> scala.collection.Iterator$GroupedIterator.hasNext(Iterator.scala:972)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> scala.collection.Iterator$class.foreach(Iterator.scala:727)
> scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> scala.collection.AbstractIterator.to(Iterator.scala:1157)
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> org.apache.spark.rdd.RDD$$anonfun$16.apply(RDD.scala:774)
> org.apache.spark.rdd.RDD$$anonfun$16.apply(RDD.scala:774)
> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121)
> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121)
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
> org.apache.spark.scheduler.Task.run(Task.scala:54)
> org.apache.spark.executSLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
> SLF4J: Defaulting to no-operation (NOP) logger implementation
> SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
> or.Executor$TaskRunner.run(Executor.scala:199)
> 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$$failJobAndIndependentStages(DAGScheduler.scala:1153)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1142)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1141)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1141)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:682)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:682)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:682)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1359)
> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
> at akka.actor.ActorCell.invoke(ActorCell.scala:456)
> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
> at akka.dispatch.Mailbox.run(Mailbox.scala:219)
> at akka.dispatch.ForkJoinExecutorConfigurator$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)
> {code}
> One of the failed builds can be found [here|https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/18437/consoleFull].
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