You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "Zhuoluo Yang (JIRA)" <ji...@apache.org> on 2017/02/15 05:48:41 UTC

[jira] [Updated] (FLINK-5802) Flink SQL calling Hive User-Defined Functions

     [ https://issues.apache.org/jira/browse/FLINK-5802?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Zhuoluo Yang updated FLINK-5802:
--------------------------------
    Description: 
It's important to call hive udf in Flink SQL. A great many udfs were written in hive since last ten years. 
It's really important to reuse the hive udfs. This feature will reduce the cost of migration and bring more users to flink.
Spark SQL has already supported this function.

https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.4.0/bk_spark-guide/content/calling-udfs.html

The Hive UDFs here include both built-in UDFs and customized UDFs. As many business logic had been written in UDFs, the customized UDFs are more important than the built-in UDFs. 

Generally, there are three kinds of UDFs: UDF, UDTF and UDAF.

  was:
It's important to call hive udf in Flink SQL. A great many udfs were written in hive since last ten years. 
It's really important to reuse the hive udfs. This feature will reduce the cost of migration and bring more users to flink.
Spark SQL has already supported this function.

https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.4.0/bk_spark-guide/content/calling-udfs.html


> Flink SQL calling Hive User-Defined Functions
> ---------------------------------------------
>
>                 Key: FLINK-5802
>                 URL: https://issues.apache.org/jira/browse/FLINK-5802
>             Project: Flink
>          Issue Type: New Feature
>            Reporter: Zhuoluo Yang
>
> It's important to call hive udf in Flink SQL. A great many udfs were written in hive since last ten years. 
> It's really important to reuse the hive udfs. This feature will reduce the cost of migration and bring more users to flink.
> Spark SQL has already supported this function.
> https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.4.0/bk_spark-guide/content/calling-udfs.html
> The Hive UDFs here include both built-in UDFs and customized UDFs. As many business logic had been written in UDFs, the customized UDFs are more important than the built-in UDFs. 
> Generally, there are three kinds of UDFs: UDF, UDTF and UDAF.



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)