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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/06/20 23:53:58 UTC
[jira] [Assigned] (SPARK-16086) Python UDF failed when there is no
arguments
[ https://issues.apache.org/jira/browse/SPARK-16086?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-16086:
------------------------------------
Assignee: Apache Spark (was: Davies Liu)
> Python UDF failed when there is no arguments
> --------------------------------------------
>
> Key: SPARK-16086
> URL: https://issues.apache.org/jira/browse/SPARK-16086
> Project: Spark
> Issue Type: Bug
> Components: PySpark, SQL
> Affects Versions: 1.5.2, 1.6.1
> Reporter: Davies Liu
> Assignee: Apache Spark
>
> {code}
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 171.0 failed 4 times, most recent failure: Lost task 0.3 in stage 171.0 (TID 6226, ip-10-0-243-36.us-west-2.compute.internal): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
> File "/databricks/spark/python/pyspark/worker.py", line 111, in main
> process()
> File "/databricks/spark/python/pyspark/worker.py", line 106, in process
> serializer.dump_stream(func(split_index, iterator), outfile)
> File "/databricks/spark/python/pyspark/serializers.py", line 263, in dump_stream
> vs = list(itertools.islice(iterator, batch))
> File "/databricks/spark/python/pyspark/serializers.py", line 139, in load_stream
> yield self._read_with_length(stream)
> File "/databricks/spark/python/pyspark/serializers.py", line 164, in _read_with_length
> return self.loads(obj)
> File "/databricks/spark/python/pyspark/serializers.py", line 422, in loads
> return pickle.loads(obj)
> File "/databricks/spark/python/pyspark/sql/types.py", line 1159, in <lambda>
> return lambda *a: dataType.fromInternal(a)
> File "/databricks/spark/python/pyspark/sql/types.py", line 568, in fromInternal
> return _create_row(self.names, values)
> File "/databricks/spark/python/pyspark/sql/types.py", line 1163, in _create_row
> row = Row(*values)
> File "/databricks/spark/python/pyspark/sql/types.py", line 1210, in __new__
> raise ValueError("No args or kwargs")
> ValueError: (ValueError('No args or kwargs',), <function <lambda> at 0x7f3bbc463320>, ())
> 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.sql.execution.BatchPythonEvaluation$$anonfun$doExecute$1.apply(python.scala:405)
> at org.apache.spark.sql.execution.BatchPythonEvaluation$$anonfun$doExecute$1.apply(python.scala:370)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:72)
> at org.apache.spark.scheduler.Task.run(Task.scala:96)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:222)
> 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)
> {code}
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