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Posted to issues@spark.apache.org by "Dian Fay (JIRA)" <ji...@apache.org> on 2017/10/06 17:54:00 UTC

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

Dian Fay created SPARK-22220:
--------------------------------

             Summary: 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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