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 2020/12/01 09:02:00 UTC
[jira] [Assigned] (SPARK-33617) Avoid generating small files for
INSERT INTO TABLE from VALUES
[ https://issues.apache.org/jira/browse/SPARK-33617?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-33617:
------------------------------------
Assignee: (was: Apache Spark)
> Avoid generating small files for INSERT INTO TABLE from VALUES
> ---------------------------------------------------------------
>
> Key: SPARK-33617
> URL: https://issues.apache.org/jira/browse/SPARK-33617
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: Yuming Wang
> Priority: Major
>
> How to reproduce this issue:
> {code:sql}
> create table t1(id int) stored as textfile;
> insert into table t1 values (1), (2), (3), (4), (5), (6), (7), (8);
> {code}
> It will generate these files:
> {noformat}
> -rwxr-xr-x 1 root root 2 Nov 30 23:07 part-00000-76a5ddf9-10df-41f8-ac19-8186449d958d-c000
> -rwxr-xr-x 1 root root 2 Nov 30 23:07 part-00001-76a5ddf9-10df-41f8-ac19-8186449d958d-c000
> -rwxr-xr-x 1 root root 2 Nov 30 23:07 part-00002-76a5ddf9-10df-41f8-ac19-8186449d958d-c000
> -rwxr-xr-x 1 root root 2 Nov 30 23:07 part-00003-76a5ddf9-10df-41f8-ac19-8186449d958d-c000
> -rwxr-xr-x 1 root root 2 Nov 30 23:07 part-00004-76a5ddf9-10df-41f8-ac19-8186449d958d-c000
> -rwxr-xr-x 1 root root 2 Nov 30 23:07 part-00005-76a5ddf9-10df-41f8-ac19-8186449d958d-c000
> -rwxr-xr-x 1 root root 2 Nov 30 23:07 part-00006-76a5ddf9-10df-41f8-ac19-8186449d958d-c000
> -rwxr-xr-x 1 root root 2 Nov 30 23:07 part-00007-76a5ddf9-10df-41f8-ac19-8186449d958d-c000
> {noformat}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org