Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/5173#issuecomment-86292219
Looks like we'll have to reconfigure the search path so that we pick up
Python3:
```
which: no python3 in
(/home/jenkins/tools/hudson.model.JDK/JDK_7u60/bin:/home/anaconda/bin/:/home/jenkins/tools/hudson.tasks.Maven_MavenInstallation/maven_3.1.1/bin/:/home/android-sdk/:/usr/local/bin:/bin:/usr/bin)
```
Looks like some PyPy tests are also complaining, but this could be due to a
similar path issue:
```
Python 3.2.5 (b2091e973da69152b3f928bfaabd5d2347e6df46, Mar 25 2015,
20:40:41)
[PyPy 2.4.0 with GCC 4.4.7 20120313 (Red Hat 4.4.7-11)]
Run core tests ...
Running test: pyspark/rdd.py
Spark assembly has been built with Hive, including Datanucleus jars in
classpath.
**********************************************************************
File "pyspark/rdd.py", line 2252, in __main__.PipelinedRDD
Failed example:
rdd.map(lambda x: 2 * x).cache().map(lambda x: 2 * x).collect()
Exception raised:
Traceback (most recent call last):
File "/root/sknapp/pypy3-2.4.0-src/lib-python/3/doctest.py", line
1288, in __run
compileflags, 1), test.globs)
File "<doctest __main__.PipelinedRDD[1]>", line 1, in <module>
rdd.map(lambda x: 2 * x).cache().map(lambda x: 2 * x).collect()
File
"/home/jenkins/workspace/NewSparkPullRequestBuilder/python/pyspark/rdd.py",
line 734, in collect
port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
File
"/home/jenkins/workspace/NewSparkPullRequestBuilder/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/NewSparkPullRequestBuilder/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py",
line 300, in get_return_value
format(target_id, '.', name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling
z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: org.apache.spark.SparkException: Job aborted due to stage failure:
Task 2 in stage 0.0 failed 1 times, most recent failure: Lost task 2.0 in stage
0.0 (TID 2, localhost): org.apache.spark.api.python.PythonException: Traceback
(most recent call last):
File "pyspark/worker.py", line 78, in main
importlib.invalidate_caches()
AttributeError: 'module' object has no attribute 'invalidate_caches'
at
org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:137)
at
org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:178)
at
org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:96)
at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:212)
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$$failJobAndIndependentStages(DAGScheduler.scala:1211)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1200)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1199)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1199)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:693)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1399)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1360)
at
org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
```
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