[jira] [Resolved] (SPARK-16007) Empty DataFrame created with spark.read.csv() does not respect user specified schema

["Reynold Xin (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16007?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin resolved SPARK-16007.
---------------------------------
       Resolution: Fixed
    Fix Version/s: 2.1.0

> 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
>            Assignee: Tathagata Das
>            Priority: Minor
>             Fix For: 2.1.0
>
>
> {{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