N Campbell created SPARK-10504:
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Summary: aggregate where NULL is defined as the value expression
aborts when SUM used
Key: SPARK-10504
URL: https://issues.apache.org/jira/browse/SPARK-10504
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.3.1
Reporter: N Campbell
Priority: Minor
In ISO-SQL the context would determine an implicit type for NULL or one might
find that a vendor requires an explicit type via CAST ( NULL as INTEGER). It
appears that SPARK presumes a long type i.e. select min(NULL), max(NULL) but a
query such the following aborts.
select sum ( null ) from tversion
Operation: execute
Errors:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
stage 5232.0 failed 4 times, most recent failure: Lost task 0.3 in stage 5232.0
(TID 18531, sandbox.hortonworks.com): scala.MatchError: NullType (of class
org.apache.spark.sql.types.NullType$)
at
org.apache.spark.sql.catalyst.expressions.Cast.org$apache$spark$sql$catalyst$expressions$Cast$$cast(Cast.scala:403)
at
org.apache.spark.sql.catalyst.expressions.Cast.cast$lzycompute(Cast.scala:422)
at org.apache.spark.sql.catalyst.expressions.Cast.cast(Cast.scala:422)
at org.apache.spark.sql.catalyst.expressions.Cast.eval(Cast.scala:426)
at
org.apache.spark.sql.catalyst.expressions.Coalesce.eval(nullFunctions.scala:51)
at
org.apache.spark.sql.catalyst.expressions.Add.eval(arithmetic.scala:119)
at
org.apache.spark.sql.catalyst.expressions.Coalesce.eval(nullFunctions.scala:51)
at
org.apache.spark.sql.catalyst.expressions.MutableLiteral.update(literals.scala:82)
at
org.apache.spark.sql.catalyst.expressions.SumFunction.update(aggregates.scala:581)
at
org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$6.apply(Aggregate.scala:133)
at
org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$6.apply(Aggregate.scala:126)
at org.apache.spark.rdd.RDD$$anonfun$14.apply(RDD.scala:634)
at org.apache.spark.rdd.RDD$$anonfun$14.apply(RDD.scala:634)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
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