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https://issues.apache.org/jira/browse/SPARK-22220?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16195630#comment-16195630
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Marco Gaido commented on SPARK-22220:
-------------------------------------
Your version is quite old and Spark 1.6 is no longer supported. May you try
whether the issue still exist in the current master branch? Thanks.
> Spark SQL: LATERAL VIEW OUTER null pointer exception with GROUP BY
> ------------------------------------------------------------------
>
> Key: SPARK-22220
> URL: https://issues.apache.org/jira/browse/SPARK-22220
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.3
> Environment: We have Zeppelin using Spark and Livy (error is
> reproducible without Livy) on an Ambari cluster.
> Reporter: Dian Fay
>
> Given a DataFrame having the fields name (a string) and tags (an array of
> strings), the following Spark SQL query fails with a NullPointerException:
> {code}
> SELECT name, tag, COUNT(*)
> FROM records
> LATERAL VIEW OUTER explode(tags) AS tag
> GROUP BY name, tag
> {code}
> {code}
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
> stage 137.0 failed 4 times, most recent failure: Lost task 0.3 in stage 137.0
> (TID 9109, $hostname, executor 1): java.lang.NullPointerException
> {code}
> The query is successful without the "outer", but obviously this excludes rows
> with empty tags arrays. A version with outer but without aggregation also
> succeeds, making it possible to work around this issue with a subquery:
> {code}
> SELECT name, tag
> FROM records
> LATERAL VIEW OUTER explode(tags) AS tag
> {code}
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