[jira] [Resolved] (SPARK-16086) Python UDF failed when there is no arguments

2016-06-21 Thread Davies Liu (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-16086?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Davies Liu resolved SPARK-16086.

   Resolution: Fixed
Fix Version/s: (was: 1.6.2)
   (was: 1.5.3)
   2.0.0

Issue resolved by pull request 13812
[https://github.com/apache/spark/pull/13812]

> 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: Davies Liu
> Fix For: 2.0.0
>
>
> {code}
> >>> sqlContext.registerFunction("f", lambda : "a")
> >>> sqlContext.sql("select f()").show()
> {code}
> {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 
> 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',),  at 
> 0x7f3bbc463320>, ())
>   at 
> org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:166)
>   at 
> org.apache.spark.api.python.PythonRunner$$anon$1.(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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[jira] [Resolved] (SPARK-16086) Python UDF failed when there is no arguments

2016-06-20 Thread Davies Liu (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-16086?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Davies Liu resolved SPARK-16086.

   Resolution: Fixed
Fix Version/s: 1.6.2
   1.5.3
   2.0.0

Issue resolved by pull request 13793
[https://github.com/apache/spark/pull/13793]

> 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: Davies Liu
> Fix For: 2.0.0, 1.5.3, 1.6.2
>
>
> {code}
> >>> sqlContext.registerFunction("f", lambda : "a")
> >>> sqlContext.sql("select f()").show()
> {code}
> {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 
> 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',),  at 
> 0x7f3bbc463320>, ())
>   at 
> org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:166)
>   at 
> org.apache.spark.api.python.PythonRunner$$anon$1.(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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