You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@flink.apache.org by "Jark Wu (Jira)" <ji...@apache.org> on 2019/09/29 08:16:00 UTC

[jira] [Updated] (FLINK-14243) flink hiveudf need some check whether it is using cache

     [ https://issues.apache.org/jira/browse/FLINK-14243?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jark Wu updated FLINK-14243:
----------------------------
    Component/s: Table SQL / Planner

> flink hiveudf need some check whether it is using cache
> -------------------------------------------------------
>
>                 Key: FLINK-14243
>                 URL: https://issues.apache.org/jira/browse/FLINK-14243
>             Project: Flink
>          Issue Type: Bug
>          Components: Connectors / Hive, Table SQL / Planner
>    Affects Versions: 1.9.0
>            Reporter: jackylau
>            Priority: Major
>             Fix For: 1.10.0
>
>
> Flink1.9 bring in hive connector, but it will have some problem when the original hive udf using cache. We konw that hive is  processed level parallel based on jvm, while flink/spark is task level parallel. If flink just calls the hive udf, it wll exists thread-safe problem when using cache.
> So it may need check the hive udf code and if it is not thread-fase, and set the flink parallize=1



--
This message was sent by Atlassian Jira
(v8.3.4#803005)