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Posted to issues@spark.apache.org by "Davies Liu (JIRA)" <ji...@apache.org> on 2016/06/20 23:11:57 UTC
[jira] [Created] (SPARK-16086) Python UDF failed when there is no
arguments
Davies Liu created SPARK-16086:
----------------------------------
Summary: 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: 1.6.1
Reporter: Davies Liu
Assignee: Davies Liu
{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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