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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/12/18 06:44:46 UTC
[jira] [Assigned] (SPARK-12398) Smart truncation of DataFrame /
Dataset toString
[ https://issues.apache.org/jira/browse/SPARK-12398?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-12398:
------------------------------------
Assignee: Apache Spark
> 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
>
> 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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