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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/09/03 06:52:20 UTC

[jira] [Assigned] (SPARK-17388) Support for inferring type date/timestamp/decimal for partition column

     [ https://issues.apache.org/jira/browse/SPARK-17388?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-17388:
------------------------------------

    Assignee:     (was: Apache Spark)

> Support for inferring type date/timestamp/decimal for partition column
> ----------------------------------------------------------------------
>
>                 Key: SPARK-17388
>                 URL: https://issues.apache.org/jira/browse/SPARK-17388
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Hyukjin Kwon
>            Priority: Minor
>
> Currently, Spark only supports to infer {{IntegerType}}, {{LongType}}, {{DoubleType}} and {{StringType}}.
> {{DecimalType}} is being tried but it seems it never infers type as {{DecimalType}} as {{DoubleType}} is being tried first.
> Also, {{DateType}} and {{TimestampType}} can be inferred. It seems it is a pretty common to use both for a partition column.
> It'd be great if they can be inferred as both rather than just {{StringType}}.



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