You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/08/31 10:22:00 UTC

[jira] [Commented] (SPARK-21884) Fix StackOverflowError on MetadataOnlyQuery

    [ https://issues.apache.org/jira/browse/SPARK-21884?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16148794#comment-16148794 ] 

Apache Spark commented on SPARK-21884:
--------------------------------------

User 'dongjoon-hyun' has created a pull request for this issue:
https://github.com/apache/spark/pull/19094

> Fix StackOverflowError on MetadataOnlyQuery
> -------------------------------------------
>
>                 Key: SPARK-21884
>                 URL: https://issues.apache.org/jira/browse/SPARK-21884
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Dongjoon Hyun
>
> This issue aims to fix StackOverflowError in branch-2.2. In Apache master branch, it doesn't throw StackOverflowError.
> {code}
> scala> spark.version
> res0: String = 2.2.0
> scala> sql("CREATE TABLE t_1000 (a INT, p INT) USING PARQUET PARTITIONED BY (p)")
> res1: org.apache.spark.sql.DataFrame = []
> scala> (1 to 1000).foreach(p => sql(s"ALTER TABLE t_1000 ADD PARTITION (p=$p)"))
> scala> sql("SELECT COUNT(DISTINCT p) FROM t_1000").collect
> java.lang.StackOverflowError
>   at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1522)
> {code}



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org