You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Tathagata Das (JIRA)" <ji...@apache.org> on 2016/06/17 04:49:05 UTC
[jira] [Commented] (SPARK-16007) Empty DataFrame created with
spark.read.csv() does not respect user specified schema
[ https://issues.apache.org/jira/browse/SPARK-16007?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15335400#comment-15335400 ]
Tathagata Das commented on SPARK-16007:
---------------------------------------
This may have been fixed by the changes in SPARK-15982, but it needs to be tested specifically for each file format.
> Empty DataFrame created with spark.read.csv() does not respect user specified schema
> ------------------------------------------------------------------------------------
>
> Key: SPARK-16007
> URL: https://issues.apache.org/jira/browse/SPARK-16007
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Tathagata Das
> Priority: Minor
>
> {{spark.schema(someSchema).csv().schema != someSchema}}
> The schema of the empty DF created with {{csv()}} has no fields.
> This problem will occur for json, text, parquet, orc.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org