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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2015/07/20 03:02:04 UTC
[jira] [Updated] (SPARK-8891) Calling aggregation expressions on
null literals fails at runtime
[ https://issues.apache.org/jira/browse/SPARK-8891?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin updated SPARK-8891:
-------------------------------
Priority: Blocker (was: Minor)
> Calling aggregation expressions on null literals fails at runtime
> -----------------------------------------------------------------
>
> Key: SPARK-8891
> URL: https://issues.apache.org/jira/browse/SPARK-8891
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.3.1, 1.4.0, 1.4.1, 1.5.0
> Reporter: Josh Rosen
> Assignee: Josh Rosen
> Priority: Blocker
>
> Queries that call aggregate expressions with null literals, such as {{select avg(null)}} or {{select sum(null)}} fail with various errors due to mishandling of the internal NullType type.
> For instance, with codegen disabled on a recent 1.5 master:
> {code}
> 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$$cast(Cast.scala:407)
> at org.apache.spark.sql.catalyst.expressions.Cast.cast$lzycompute(Cast.scala:426)
> at org.apache.spark.sql.catalyst.expressions.Cast.cast(Cast.scala:426)
> at org.apache.spark.sql.catalyst.expressions.Cast.nullSafeEval(Cast.scala:428)
> at org.apache.spark.sql.catalyst.expressions.UnaryExpression.eval(Expression.scala:196)
> at org.apache.spark.sql.catalyst.expressions.Coalesce.eval(nullFunctions.scala:48)
> at org.apache.spark.sql.catalyst.expressions.BinaryExpression.eval(Expression.scala:268)
> at org.apache.spark.sql.catalyst.expressions.Coalesce.eval(nullFunctions.scala:48)
> at org.apache.spark.sql.catalyst.expressions.MutableLiteral.update(literals.scala:147)
> at org.apache.spark.sql.catalyst.expressions.SumFunction.update(aggregates.scala:536)
> at org.apache.spark.sql.execution.Aggregate$$anonfun$doExecute$1$$anonfun$6.apply(Aggregate.scala:132)
> at org.apache.spark.sql.execution.Aggregate$$anonfun$doExecute$1$$anonfun$6.apply(Aggregate.scala:125)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:686)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:686)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:70)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:70)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
> 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)
> {code}
> When codegen is enabled, the resulting code fails to compile.
> The fix for this issue involves changes to Cast and Sum.
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