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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-4476) Use MapType for dict in json which has unique keys in each row.
Date Fri, 21 Nov 2014 20:28:33 GMT

    [ https://issues.apache.org/jira/browse/SPARK-4476?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14221383#comment-14221383
] 

Apache Spark commented on SPARK-4476:
-------------------------------------

User 'yhuai' has created a pull request for this issue:
https://github.com/apache/spark/pull/3406

> Use MapType for dict in json which has unique keys in each row.
> ---------------------------------------------------------------
>
>                 Key: SPARK-4476
>                 URL: https://issues.apache.org/jira/browse/SPARK-4476
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>            Reporter: Davies Liu
>            Priority: Critical
>
> For the jsonRDD like this: 
> {code}
> """ {a: 1} """
> """ {b: 2} """
> """ {c: 3} """
> """ {d: 4} """
> """ {e: 5} """
> {code}
> It will create a StructType with 5 fileds in it, each field come from a different row.
It will be a problem if the RDD is large. A StructType with thousands or millions fields is
hard to play with (will cause stack overflow during serialization).
> It should be MapType for this case. We need a clear rule to decide StructType or MapType
will be used for dict in json data. 
> cc [~yhuai] [~marmbrus]



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