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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2016/09/28 23:26:21 UTC
[jira] [Resolved] (SPARK-17641) collect_set should ignore null
values
[ https://issues.apache.org/jira/browse/SPARK-17641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin resolved SPARK-17641.
---------------------------------
Resolution: Fixed
Assignee: Xiangrui Meng
Fix Version/s: 2.1.0
2.0.1
> collect_set should ignore null values
> -------------------------------------
>
> Key: SPARK-17641
> URL: https://issues.apache.org/jira/browse/SPARK-17641
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
> Fix For: 2.0.1, 2.1.0
>
>
> `collect_set` throws the following exception when there are null values. It should ignore null values to be consistent with other aggregation methods.
> {code}
> select collect_set(null) from (select 1) tmp;
> java.lang.IllegalArgumentException: Flat hash tables cannot contain null elements.
> at scala.collection.mutable.FlatHashTable$HashUtils$class.elemHashCode(FlatHashTable.scala:390)
> at scala.collection.mutable.HashSet.elemHashCode(HashSet.scala:41)
> at scala.collection.mutable.FlatHashTable$class.addEntry(FlatHashTable.scala:136)
> at scala.collection.mutable.HashSet.addEntry(HashSet.scala:41)
> at scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:60)
> at scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:41)
> at org.apache.spark.sql.catalyst.expressions.aggregate.Collect.update(collect.scala:64)
> at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$1$$anonfun$applyOrElse$1.apply(AggregationIterator.scala:170)
> at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$1$$anonfun$applyOrElse$1.apply(AggregationIterator.scala:170)
> at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$generateProcessRow$1.apply(AggregationIterator.scala:186)
> at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$generateProcessRow$1.apply(AggregationIterator.scala:180)
> at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.processCurrentSortedGroup(SortBasedAggregationIterator.scala:115)
> at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:150)
> at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:29)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:232)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:225)
> {code}
> cc: [~yhuai]
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