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Posted to issues@spark.apache.org by "Cheng Lian (JIRA)" <ji...@apache.org> on 2014/08/13 18:32:14 UTC
[jira] [Created] (SPARK-3013) Doctest of inferSchema in Spark SQL
Python API fails
Cheng Lian created SPARK-3013:
---------------------------------
Summary: 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
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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