[jira] [Resolved] (SPARK-12398) Smart truncation of DataFrame / Dataset toString

["Michael Armbrust (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-12398?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust resolved SPARK-12398.
--------------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 10373
[https://github.com/apache/spark/pull/10373]

> Smart truncation of DataFrame / Dataset toString
> ------------------------------------------------
>
>                 Key: SPARK-12398
>                 URL: https://issues.apache.org/jira/browse/SPARK-12398
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Reynold Xin
>            Assignee: Apache Spark
>              Labels: starter
>             Fix For: 2.0.0
>
>
> When a DataFrame or Dataset has a long schema, we should intelligently truncate to avoid flooding the screen with unreadable information.
> {code}
> // Standard output
> [a: int, b: int]
> // Truncate many top level fields
> [a: int, b, string ... 10 more fields]
> // Truncate long inner structs
> [a: struct<a: Int ... 10 more fields>]
> {code}



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