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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/06/13 11:12:00 UTC
[jira] [Commented] (SPARK-24546) InsertIntoDataSourceCommand make
dataframe with wrong schema
[ https://issues.apache.org/jira/browse/SPARK-24546?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16510957#comment-16510957 ]
Apache Spark commented on SPARK-24546:
--------------------------------------
User 'zheh12' has created a pull request for this issue:
https://github.com/apache/spark/pull/21554
> InsertIntoDataSourceCommand make dataframe with wrong schema
> ------------------------------------------------------------
>
> Key: SPARK-24546
> URL: https://issues.apache.org/jira/browse/SPARK-24546
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.1, 2.3.0, 2.3.1, 3.0.0
> Reporter: yangz
> Priority: Major
>
> I have a hdfs table with schema
> {code:java}
> hdfs_table(a int, b int, c int){code}
>
> and a kudu table with schema
>
> {code:java}
> kudu_table(b int primary key, a int,c int)
> {code}
>
> When I have a sql insert, I got data misorder.
> {code:java}
> insert into kudu_table from hdfs_table
> {code}
> The reason to cause the problem is create data frame with wrong schema
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