You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/04/30 10:08:06 UTC

[jira] [Commented] (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:comment-tabpanel&focusedCommentId=14521098#comment-14521098 ] 

Apache Spark commented on SPARK-5443:
-------------------------------------

User 'NathanHowell' has created a pull request for this issue:
https://github.com/apache/spark/pull/5801

> 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
>   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.  



--
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