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https://issues.apache.org/jira/browse/KUDU-1676?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16452632#comment-16452632
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Grant Henke commented on KUDU-1676:
-----------------------------------
Thanks for the comment [~ivan.vergiliev]. I didn't realize there was a Jira for
this.
This is fixed via [e94556e|https://github.com/apache/kudu/commit/e94556e].
The unit test added in
[DefaultSourceTest.scala|https://github.com/apache/kudu/commit/e94556e#diff-e35eedde7d54f5aac66eb41b13e7efee]
is a brief example.
> Spark DDL needs elegant way to specify range partitioning
> ---------------------------------------------------------
>
> Key: KUDU-1676
> URL: https://issues.apache.org/jira/browse/KUDU-1676
> Project: Kudu
> Issue Type: New Feature
> Components: spark
> Affects Versions: 1.0.0
> Reporter: Mladen Kovacevic
> Assignee: Mladen Kovacevic
> Priority: Major
> Original Estimate: 96h
> Remaining Estimate: 96h
>
> To define partition column splits, you need a PartialRow object.
> These are easy to create when you have the Schema object. But since your
> table schema in Spark is defined with StructType instead of Schema, then its
> cumbersome to define a new Schema object to be the exact duplicate of the
> StructType version, only to get the PartialRow, to set what the range
> partition will values would be, then set the addSplitRow() function call to
> your CreateTableOptions.
> We need an elegant way to have the Spark API handle specifying range
> partition attributes without having to drop into the Java API in Spark.
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