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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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