[jira] [Updated] (SPARK-22220) Spark SQL: LATERAL VIEW OUTER null pointer exception with GROUP BY

["Dian Fay (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-22220?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dian Fay updated SPARK-22220:
-----------------------------
    Affects Version/s:     (was: 1.6.3)
                       2.1.1

> 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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