Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- ---------------------------------------------------------------------------
- Py4JJavaError Traceback (most recent call last)
- <ipython-input-30-46176c96d218> in <module>()
- ----> 1 series[2].toarray()
- /Users/Henry/miniconda/envs/thunder1_env/lib/python2.7/site-packages/thunder/base.pyc in toarray(self)
- 262 This will be slow for large datasets, and may exhaust the available memory on the driver.
- 263 """
- --> 264 return asarray(self.values).squeeze()
- 265
- 266 def tospark(self):
- /Users/Henry/miniconda/envs/thunder1_env/lib/python2.7/site-packages/numpy/core/numeric.pyc in asarray(a, dtype, order)
- 480
- 481 """
- --> 482 return array(a, dtype, copy=False, order=order)
- 483
- 484 def asanyarray(a, dtype=None, order=None):
- /Users/Henry/miniconda/envs/thunder1_env/lib/python2.7/site-packages/bolt/spark/array.pyc in __array__(self)
- 33
- 34 def __array__(self):
- ---> 35 return self.toarray()
- 36
- 37 def cache(self):
- /Users/Henry/miniconda/envs/thunder1_env/lib/python2.7/site-packages/bolt/spark/array.pyc in toarray(self)
- 984 """
- 985 rdd = self._rdd if self._ordered else self._rdd.sortByKey()
- --> 986 x = rdd.values().collect()
- 987 return asarray(x).reshape(self.shape)
- 988
- /Applications/spark-1.6.1-bin-hadoop2.6/python/pyspark/rdd.pyc in collect(self)
- 769 """
- 770 with SCCallSiteSync(self.context) as css:
- --> 771 port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
- 772 return list(_load_from_socket(port, self._jrdd_deserializer))
- 773
- /Applications/spark-1.6.1-bin-hadoop2.6/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py in __call__(self, *args)
- 811 answer = self.gateway_client.send_command(command)
- 812 return_value = get_return_value(
- --> 813 answer, self.gateway_client, self.target_id, self.name)
- 814
- 815 for temp_arg in temp_args:
- /Applications/spark-1.6.1-bin-hadoop2.6/python/lib/py4j-0.9-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
- 306 raise Py4JJavaError(
- 307 "An error occurred while calling {0}{1}{2}.\n".
- --> 308 format(target_id, ".", name), value)
- 309 else:
- 310 raise Py4JError(
- 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 0 in stage 33.0 failed 1 times, most recent failure: Lost task 0.0 in stage 33.0 (TID 92, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
- File "/Applications/spark-1.6.1-bin-hadoop2.6/python/lib/pyspark.zip/pyspark/worker.py", line 111, in main
- process()
- File "/Applications/spark-1.6.1-bin-hadoop2.6/python/lib/pyspark.zip/pyspark/worker.py", line 106, in process
- serializer.dump_stream(func(split_index, iterator), outfile)
- File "/Applications/spark-1.6.1-bin-hadoop2.6/python/lib/pyspark.zip/pyspark/serializers.py", line 263, in dump_stream
- vs = list(itertools.islice(iterator, batch))
- File "/Users/Henry/miniconda/envs/thunder1_env/lib/python2.7/site-packages/bolt/spark/array.py", line 482, in <lambda>
- filtered = self._rdd.filter(lambda kv: key_check(kv[0]))
- File "/Users/Henry/miniconda/envs/thunder1_env/lib/python2.7/site-packages/bolt/spark/array.py", line 476, in key_check
- out = [check(k, s) for k, s in zip(key, key_slices)]
- TypeError: zip argument #1 must support iteration
- at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:166)
- at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
- at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
- at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
- at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
- at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
- at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
- at org.apache.spark.scheduler.Task.run(Task.scala:89)
- at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
- at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
- at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
- at java.lang.Thread.run(Thread.java:745)
- Driver stacktrace:
- at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
- at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
- at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
- at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
- at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
- at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
- at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
- at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
- at scala.Option.foreach(Option.scala:236)
- at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
- at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
- at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
- at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
- at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
- at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
- at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
- at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
- at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
- at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
- at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)
- at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
- at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
- at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
- at org.apache.spark.rdd.RDD.collect(RDD.scala:926)
- at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:405)
- at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
- at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
- at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
- at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
- at java.lang.reflect.Method.invoke(Method.java:497)
- at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
- at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
- at py4j.Gateway.invoke(Gateway.java:259)
- at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
- at py4j.commands.CallCommand.execute(CallCommand.java:79)
- at py4j.GatewayConnection.run(GatewayConnection.java:209)
- at java.lang.Thread.run(Thread.java:745)
- Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
- File "/Applications/spark-1.6.1-bin-hadoop2.6/python/lib/pyspark.zip/pyspark/worker.py", line 111, in main
- process()
- File "/Applications/spark-1.6.1-bin-hadoop2.6/python/lib/pyspark.zip/pyspark/worker.py", line 106, in process
- serializer.dump_stream(func(split_index, iterator), outfile)
- File "/Applications/spark-1.6.1-bin-hadoop2.6/python/lib/pyspark.zip/pyspark/serializers.py", line 263, in dump_stream
- vs = list(itertools.islice(iterator, batch))
- File "/Users/Henry/miniconda/envs/thunder1_env/lib/python2.7/site-packages/bolt/spark/array.py", line 482, in <lambda>
- filtered = self._rdd.filter(lambda kv: key_check(kv[0]))
- File "/Users/Henry/miniconda/envs/thunder1_env/lib/python2.7/site-packages/bolt/spark/array.py", line 476, in key_check
- out = [check(k, s) for k, s in zip(key, key_slices)]
- TypeError: zip argument #1 must support iteration
- at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:166)
- at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
- at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
- at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
- at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
- at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
- at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
- at org.apache.spark.scheduler.Task.run(Task.scala:89)
- at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
- at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
- at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
- ... 1 more
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement