[ 
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 <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}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to