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https://issues.apache.org/jira/browse/SPARK-22220?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16197899#comment-16197899
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Dian Fay commented on SPARK-22220:
----------------------------------

I did find a slightly more detailed mention in the Zeppelin logs, but it's no 
stack trace:

WARN [2017-10-09 23:28:39,445] ({pool-2-thread-32} 
NotebookServer.java[afterStatusChange]:2058) - Job 20171006-205907_443943867 is 
finished, status: ERROR, exception: null, result: %text 
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in 
stage 549.0 failed 4 times, most recent failure: Lost task 0.3 in stage 549.0 
(TID 28218, wsdemo-dash03.dequecloud.com, executor 1): 
java.lang.NullPointerException

> 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: 2.1.1
>         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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