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Posted to issues@spark.apache.org by "Yin Huai (JIRA)" <ji...@apache.org> on 2015/05/07 08:02:00 UTC

[jira] [Resolved] (SPARK-5443) jsonRDD with schema should ignore sub-objects that are omitted in schema

     [ https://issues.apache.org/jira/browse/SPARK-5443?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yin Huai resolved SPARK-5443.
-----------------------------
       Resolution: Fixed
    Fix Version/s: 1.4.0

It has been resolved by https://github.com/apache/spark/commit/2d6612cc8b98f767d73c4d15e4065bf3d6c12ea7.

> jsonRDD with schema should ignore sub-objects that are omitted in schema
> ------------------------------------------------------------------------
>
>                 Key: SPARK-5443
>                 URL: https://issues.apache.org/jira/browse/SPARK-5443
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 1.2.0
>            Reporter: Derrick Burns
>            Assignee: Nathan Howell
>             Fix For: 1.4.0
>
>   Original Estimate: 168h
>  Remaining Estimate: 168h
>
> Reading the code for jsonRDD, it appears that all fields of a JSON object are read into a ROW independent of the provided schema. I would expect it to be more efficient to only store in the ROW those fields that are explicitly included in the schema. 
> For example, assume that I only wish to extract the "id" field of a tweet.  If I provided a schema that simply had one field within a map named "id", then the row object would only store that field within a map.  



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