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- >>> try:
- ... test_format.process_df(spark)
- ... except Exception as e:
- ... print('col should be dropped: {}'.format(e))
- ...
- 19/09/30 17:03:55 ERROR Executor: Exception in task 2.0 in stage 5.0 (TID 11)
- org.apache.spark.api.python.PythonException: Traceback (most recent call last):
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 377, in main
- process()
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 372, in process
- serializer.dump_stream(func(split_index, iterator), outfile)
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/serializers.py", line 345, in dump_stream
- self.serializer.dump_stream(self._batched(iterator), stream)
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/serializers.py", line 141, in dump_stream
- for obj in iterator:
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/serializers.py", line 334, in _batched
- for item in iterator:
- File "<string>", line 1, in <lambda>
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 85, in <lambda>
- return lambda *a: f(*a)
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/util.py", line 99, in wrapper
- return f(*args, **kwargs)
- File "/Users/aviralsrivastava/dev/data-engineer-fc-avisrivastava254084/test_format.py", line 28, in validate_format
- raise ValueError
- ValueError
- at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:456)
- at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:81)
- at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:64)
- at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
- at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
- at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
- at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
- at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
- at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
- at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
- at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
- at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255)
- at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
- at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
- at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
- at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
- at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
- at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
- at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
- at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
- at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
- at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
- at org.apache.spark.scheduler.Task.run(Task.scala:123)
- at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
- at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
- at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
- at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
- at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
- at java.lang.Thread.run(Thread.java:748)
- 19/09/30 17:03:55 ERROR Executor: Exception in task 0.0 in stage 5.0 (TID 9)
- org.apache.spark.api.python.PythonException: Traceback (most recent call last):
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 377, in main
- process()
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 372, in process
- serializer.dump_stream(func(split_index, iterator), outfile)
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/serializers.py", line 345, in dump_stream
- self.serializer.dump_stream(self._batched(iterator), stream)
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/serializers.py", line 141, in dump_stream
- for obj in iterator:
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/serializers.py", line 334, in _batched
- for item in iterator:
- File "<string>", line 1, in <lambda>
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 85, in <lambda>
- return lambda *a: f(*a)
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/util.py", line 99, in wrapper
- return f(*args, **kwargs)
- File "/Users/aviralsrivastava/dev/data-engineer-fc-avisrivastava254084/test_format.py", line 28, in validate_format
- raise ValueError
- ValueError
- at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:456)
- at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:81)
- at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:64)
- at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
- at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
- at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
- at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
- at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
- at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
- at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
- at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
- at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255)
- at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
- at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
- at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
- at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
- at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
- at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
- at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
- at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
- at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
- at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
- at org.apache.spark.scheduler.Task.run(Task.scala:123)
- at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
- at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
- at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
- at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
- at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
- at java.lang.Thread.run(Thread.java:748)
- 19/09/30 17:03:55 WARN TaskSetManager: Lost task 2.0 in stage 5.0 (TID 11, localhost, executor driver): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 377, in main
- process()
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 372, in process
- serializer.dump_stream(func(split_index, iterator), outfile)
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/serializers.py", line 345, in dump_stream
- self.serializer.dump_stream(self._batched(iterator), stream)
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/serializers.py", line 141, in dump_stream
- for obj in iterator:
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/serializers.py", line 334, in _batched
- for item in iterator:
- File "<string>", line 1, in <lambda>
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 85, in <lambda>
- return lambda *a: f(*a)
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/util.py", line 99, in wrapper
- return f(*args, **kwargs)
- File "/Users/aviralsrivastava/dev/data-engineer-fc-avisrivastava254084/test_format.py", line 28, in validate_format
- raise ValueError
- ValueError
- at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:456)
- at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:81)
- at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:64)
- at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
- at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
- at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
- at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
- at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
- at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
- at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
- at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
- at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255)
- at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
- at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
- at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
- at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
- at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
- at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
- at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
- at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
- at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
- at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
- at org.apache.spark.scheduler.Task.run(Task.scala:123)
- at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
- at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
- at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
- at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
- at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
- at java.lang.Thread.run(Thread.java:748)
- 19/09/30 17:03:55 ERROR TaskSetManager: Task 2 in stage 5.0 failed 1 times; aborting job
- col should be dropped: An error occurred while calling o215.showString.
- : org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 5.0 failed 1 times, most recent failure: Lost task 2.0 in stage 5.0 (TID 11, localhost, executor driver): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 377, in main
- process()
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 372, in process
- serializer.dump_stream(func(split_index, iterator), outfile)
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/serializers.py", line 345, in dump_stream
- self.serializer.dump_stream(self._batched(iterator), stream)
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/serializers.py", line 141, in dump_stream
- for obj in iterator:
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/serializers.py", line 334, in _batched
- for item in iterator:
- File "<string>", line 1, in <lambda>
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 85, in <lambda>
- return lambda *a: f(*a)
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/util.py", line 99, in wrapper
- return f(*args, **kwargs)
- File "/Users/aviralsrivastava/dev/data-engineer-fc-avisrivastava254084/test_format.py", line 28, in validate_format
- raise ValueError
- ValueError
- at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:456)
- at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:81)
- at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:64)
- at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
- at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
- at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
- at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
- at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
- at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
- at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
- at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
- at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255)
- at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
- at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
- at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
- at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
- at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
- at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
- at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
- at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
- at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
- at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
- at org.apache.spark.scheduler.Task.run(Task.scala:123)
- at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
- at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
- at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
- at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
- at java.util.concurrent.ThreadPoolExecutor$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$$failJobAndIndependentStages(DAGScheduler.scala:1889)
- at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1877)
- at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1876)
- at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
- at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
- at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1876)
- at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
- at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
- at scala.Option.foreach(Option.scala:257)
- at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:926)
- at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2110)
- at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2059)
- at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2048)
- at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
- at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737)
- at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
- at org.apache.spark.SparkContext.runJob(SparkContext.scala:2082)
- at org.apache.spark.SparkContext.runJob(SparkContext.scala:2101)
- at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:365)
- at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
- at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3389)
- at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2550)
- at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2550)
- at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370)
- at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
- at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
- at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
- at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3369)
- at org.apache.spark.sql.Dataset.head(Dataset.scala:2550)
- at org.apache.spark.sql.Dataset.take(Dataset.scala:2764)
- at org.apache.spark.sql.Dataset.getRows(Dataset.scala:254)
- at org.apache.spark.sql.Dataset.showString(Dataset.scala:291)
- 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/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 377, in main
- process()
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 372, in process
- serializer.dump_stream(func(split_index, iterator), outfile)
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/serializers.py", line 345, in dump_stream
- self.serializer.dump_stream(self._batched(iterator), stream)
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/serializers.py", line 141, in dump_stream
- for obj in iterator:
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/serializers.py", line 334, in _batched
- for item in iterator:
- File "<string>", line 1, in <lambda>
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 85, in <lambda>
- return lambda *a: f(*a)
- File "/usr/local/lib/python3.7/site-packages/pyspark/python/lib/pyspark.zip/pyspark/util.py", line 99, in wrapper
- return f(*args, **kwargs)
- File "/Users/aviralsrivastava/dev/data-engineer-fc-avisrivastava254084/test_format.py", line 28, in validate_format
- raise ValueError
- ValueError
- at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:456)
- at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:81)
- at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:64)
- at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
- at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
- at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
- at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
- at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
- at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
- at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
- at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
- at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255)
- at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
- at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
- at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
- at org.apache.spark.19/09/30 17:03:55 WARN TaskSetManager: Lost task 1.0 in stage 5.0 (TID 10, localhost, executor driver): TaskKilled (Stage cancelled)
- rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
- at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
- at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
- at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
- at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
- at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
- at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
- at org.apache.spark.scheduler.Task.run(Task.scala:123)
- at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
- at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
- at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
- at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
- at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
- ... 1 more
- >>>
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