[
https://issues.apache.org/jira/browse/SPARK-19882?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-19882:
---------------------------------
Description:
This seems a regression.
- Spark 1.6
{code}
Seq(Tuple1(None),
Tuple1(Some(1))).toDF("a").groupBy($"a").pivot("a").count().show()
{code}
prints
{code}
+----+----+---+
| a|null| 1|
+----+----+---+
|null| 0| 0|
| 1| 0| 1|
+----+----+---+
{code}
- Current master
{code}
Seq(Tuple1(None),
Tuple1(Some(1))).toDF("a").groupBy($"a").pivot("a").count().show()
{code}
prints
{code}
java.lang.NullPointerException was thrown.
java.lang.NullPointerException
at
org.apache.spark.sql.catalyst.expressions.aggregate.PivotFirst$$anonfun$4.apply(PivotFirst.scala:145)
at
org.apache.spark.sql.catalyst.expressions.aggregate.PivotFirst$$anonfun$4.apply(PivotFirst.scala:143)
at scala.collection.immutable.List.map(List.scala:273)
at
org.apache.spark.sql.catalyst.expressions.aggregate.PivotFirst.<init>(PivotFirst.scala:143)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolvePivot$$anonfun$apply$7$$anonfun$24.apply(Analyzer.scala:509)
{code}
was:
This seems a regression.
- Spark 1.6
{code}
Seq(Tuple1(None),
Tuple1(Some(1))).toDF("a").groupBy($"a").pivot("a").count().show()
{code}
prints
{code}
+----+----+---+
| a|null| 1|
+----+----+---+
|null| 0| 0|
| 1| 0| 1|
+----+----+---+
{code}
Current master
{code}
Seq(Tuple1(None),
Tuple1(Some(1))).toDF("a").groupBy($"a").pivot("a").count().show()
{code}
prints
{code}
java.lang.NullPointerException was thrown.
java.lang.NullPointerException
at
org.apache.spark.sql.catalyst.expressions.aggregate.PivotFirst$$anonfun$4.apply(PivotFirst.scala:145)
at
org.apache.spark.sql.catalyst.expressions.aggregate.PivotFirst$$anonfun$4.apply(PivotFirst.scala:143)
at scala.collection.immutable.List.map(List.scala:273)
at
org.apache.spark.sql.catalyst.expressions.aggregate.PivotFirst.<init>(PivotFirst.scala:143)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolvePivot$$anonfun$apply$7$$anonfun$24.apply(Analyzer.scala:509)
{code}
> Pivot with null as the pivot value throws NPE
> ---------------------------------------------
>
> Key: SPARK-19882
> URL: https://issues.apache.org/jira/browse/SPARK-19882
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Hyukjin Kwon
>
> This seems a regression.
> - Spark 1.6
> {code}
> Seq(Tuple1(None),
> Tuple1(Some(1))).toDF("a").groupBy($"a").pivot("a").count().show()
> {code}
> prints
> {code}
> +----+----+---+
> | a|null| 1|
> +----+----+---+
> |null| 0| 0|
> | 1| 0| 1|
> +----+----+---+
> {code}
> - Current master
> {code}
> Seq(Tuple1(None),
> Tuple1(Some(1))).toDF("a").groupBy($"a").pivot("a").count().show()
> {code}
> prints
> {code}
> java.lang.NullPointerException was thrown.
> java.lang.NullPointerException
> at
> org.apache.spark.sql.catalyst.expressions.aggregate.PivotFirst$$anonfun$4.apply(PivotFirst.scala:145)
> at
> org.apache.spark.sql.catalyst.expressions.aggregate.PivotFirst$$anonfun$4.apply(PivotFirst.scala:143)
> at scala.collection.immutable.List.map(List.scala:273)
> at
> org.apache.spark.sql.catalyst.expressions.aggregate.PivotFirst.<init>(PivotFirst.scala:143)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolvePivot$$anonfun$apply$7$$anonfun$24.apply(Analyzer.scala:509)
> {code}
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