[
https://issues.apache.org/jira/browse/SPARK-11966?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15093239#comment-15093239
]
Richard Garris commented on SPARK-11966:
----------------------------------------
Hi Jaka,
It's targeted for Spark 1.7.
-Richard
--
Richard Garris, Big Data Solution Engineer
Mobile: +1.650.200.0840 | Email: rlgar...@databricks.com
Databricks | 160 Spear Street, 13th Floor San Francisco, CA 94105 USA
Save the Date | Spark Summit 2016 <https://spark-summit.org/> | New York
Feb 16-18 | San Francisco Jun 6 - Jun 8
Follow us on Social Media Twitter <https://twitter.com/databricks> LinkedIn
<https://www.linkedin.com/company/databricks> Facebook
<https://www.facebook.com/pages/Databricks/560203607379694>
www.databricks.com
> Spark API for UDTFs
> -------------------
>
> Key: SPARK-11966
> URL: https://issues.apache.org/jira/browse/SPARK-11966
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Reporter: Jaka Jancar
> Priority: Minor
>
> Defining UDFs is easy using sqlContext.udf.register, but not table-generating
> functions. For those you still have to use these horrendous Hive interfaces:
> https://github.com/prongs/apache-hive/blob/master/contrib/src/java/org/apache/hadoop/hive/contrib/udtf/example/GenericUDTFCount2.java
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
