In Chapter 07, I could not complete the last step(experiment.py).
Following is the output of the submission.
How can I avoid this error?
$ ./submit_spark.sh BUCKET experiment.py
:
Job [f5947f18c07042fe9e4b295537b18eb1] submitted.
Waiting for job output...
19/02/05 11:22:30 INFO org.spark_project.jetty.util.log: Logging initialized @2422ms
19/02/05 11:22:30 INFO org.spark_project.jetty.server.Server: jetty-9.3.z-SNAPSHOT, build timestamp: unknown, git hash: unknown
19/02/05 11:22:30 INFO org.spark_project.jetty.server.Server: Started @2509ms
19/02/05 11:22:30 INFO org.spark_project.jetty.server.AbstractConnector: Started ServerConnector@6726e80c{HTTP/1.1,[http/1.1]}{0.0.0.0:4040}
19/02/05 11:22:30 WARN org.apache.spark.scheduler.FairSchedulableBuilder: Fair Scheduler configuration file not found so jobs will be scheduled in FIFO order. To use fair scheduling, configure pools in fairscheduler.xml or set spark.scheduler.allocation.file to a file that contains the configuration.
19/02/05 11:22:40 WARN org.apache.spark.util.Utils: Truncated the string representation of a plan since it was too large. This behavior can be adjusted by setting 'spark.debug.maxToStringFields' in SparkEnv.conf.
19/02/05 11:24:05 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 4.0 (TID 55)
org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/worker.py", line 253, in main
process()
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/worker.py", line 248, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 379, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 1352, in takeUpToNumLeft
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/util.py", line 55, in wrapper
return f(*args, **kwargs)
File "/tmp/f5947f18c07042fe9e4b295537b18eb1/logistic.py", line 92, in to_example
features.extend(get_local_hour(fields['DEP_TIME'],
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/types.py", line 1548, in __getitem__
raise ValueError(item)
ValueError: DEP_TIME
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:330)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:470)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:453)
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:284)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
19/02/05 11:24:05 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 4.0 (TID 55, localhost, executor driver): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/worker.py", line 253, in main
process()
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/worker.py", line 248, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 379, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 1352, in takeUpToNumLeft
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/util.py", line 55, in wrapper
return f(*args, **kwargs)
File "/tmp/f5947f18c07042fe9e4b295537b18eb1/logistic.py", line 92, in to_example
features.extend(get_local_hour(fields['DEP_TIME'],
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/types.py", line 1548, in __getitem__
raise ValueError(item)
ValueError: DEP_TIME
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:330)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:470)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:453)
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:284)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
19/02/05 11:24:05 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in stage 4.0 failed 1 times; aborting job
Traceback (most recent call last):
File "/tmp/f5947f18c07042fe9e4b295537b18eb1/logistic.py", line 115, in <module>
lrmodel = LogisticRegressionWithLBFGS.train(examples, intercept=True)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/mllib/classification.py", line 392, in train
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 1376, in first
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 1358, in take
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/context.py", line 1033, in runJob
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.runJob.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 4.0 failed 1 times, most recent failure: Lost task 0.0 in stage 4.0 (TID 55, localhost, executor driver): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/worker.py", line 253, in main
process()
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/worker.py", line 248, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 379, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 1352, in takeUpToNumLeft
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/util.py", line 55, in wrapper
return f(*args, **kwargs)
File "/tmp/f5947f18c07042fe9e4b295537b18eb1/logistic.py", line 92, in to_example
features.extend(get_local_hour(fields['DEP_TIME'],
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/types.py", line 1548, in __getitem__
raise ValueError(item)
ValueError: DEP_TIME
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:330)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:470)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:453)
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:284)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1651)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1639)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1638)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1638)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1872)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1821)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1810)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2055)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2074)
at org.apache.spark.api.python.PythonRDD$.runJob(PythonRDD.scala:152)
at org.apache.spark.api.python.PythonRDD.runJob(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:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/worker.py", line 253, in main
process()
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/worker.py", line 248, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 379, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 1352, in takeUpToNumLeft
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/util.py", line 55, in wrapper
return f(*args, **kwargs)
File "/tmp/f5947f18c07042fe9e4b295537b18eb1/logistic.py", line 92, in to_example
features.extend(get_local_hour(fields['DEP_TIME'],
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/types.py", line 1548, in __getitem__
raise ValueError(item)
ValueError: DEP_TIME
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:330)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:470)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:453)
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:284)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
at org.apache.spark.api.python.PythonRDD$$anonfun$3.apply(PythonRDD.scala:152)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
19/02/05 11:24:06 INFO org.spark_project.jetty.server.AbstractConnector: Stopped Spark@6726e80c{HTTP/1.1,[http/1.1]}{0.0.0.0:4040}