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Reynold Xin closed SPARK-8891. ------------------------------ Resolution: Fixed Assignee: Yin Huai (was: Josh Rosen) Fix Version/s: 1.5.0 Fixed by Yin in new aggregates. > 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: Yin Huai > Priority: Blocker > Fix For: 1.5.0 > > > 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. -- 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