[jira] [Resolved] (SPARK-10947) With schema inference from JSON into a Dataframe, add option to infer all primitive object types as strings

["Yin Huai (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10947?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yin Huai resolved SPARK-10947.
------------------------------
       Resolution: Fixed
    Fix Version/s: 1.6.0

Issue resolved by pull request 9249
[https://github.com/apache/spark/pull/9249]

> With schema inference from JSON into a Dataframe, add option to infer all primitive object types as strings
> -----------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-10947
>                 URL: https://issues.apache.org/jira/browse/SPARK-10947
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 1.5.1
>            Reporter: Ewan Leith
>            Priority: Minor
>             Fix For: 1.6.0
>
>
> Currently, when a schema is inferred from a JSON file using sqlContext.read.json, the primitive object types are inferred as string, long, boolean, etc.
> However, if the inferred type is too specific (JSON obviously does not enforce types itself), this causes issues with merging dataframe schemas.
> Instead, we would like an option in the JSON inferField function to treat all primitive objects as strings.
> We'll create and submit a pull request for this for review.



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