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Posted to issues@spark.apache.org by "Takeshi Yamamuro (JIRA)" <ji...@apache.org> on 2017/03/18 04:09:41 UTC
[jira] [Commented] (SPARK-20009) Use user-friendly DDL formats for
defining a schema in user-facing APIs
[ https://issues.apache.org/jira/browse/SPARK-20009?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15931044#comment-15931044 ]
Takeshi Yamamuro commented on SPARK-20009:
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Does this make sense? cc: [~smilegator] My prototype is here: https://github.com/apache/spark/compare/master...maropu:UserDDLForSchema
> Use user-friendly DDL formats for defining a schema in user-facing APIs
> ------------------------------------------------------------------------
>
> Key: SPARK-20009
> URL: https://issues.apache.org/jira/browse/SPARK-20009
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Takeshi Yamamuro
>
> In https://issues.apache.org/jira/browse/SPARK-19830, we add a new API in the DDL parser to convert a DDL string into a schema. Then, we can use DDL formats in existing some APIs, e.g., functions.from_json https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/functions.scala#L3062.
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