> -----原始邮件-----
> 发件人: "Peter Huang" <huangzhenqiu0...@gmail.com>
> 发送时间: 2022-03-23 11:13:32 (星期三)
> 收件人: dev <dev@flink.apache.org>
> 抄送:
> 主题: Re: 回复：Re:[DISCUSS] FLIP-214 Support Advanced Function DDL
>
> Hi Ron,
>
> Thanks for reviving the discussion of the work. The design looks good. A
> small typo in the FLIP is that currently it is marked as released in 1.16.
>
>
> Best Regards
> Peter Huang
>
>
> On Tue, Mar 22, 2022 at 10:58 PM Mang Zhang <zhangma...@163.com> wrote:
>
> > hi Yuxia,
> >
> >
> > Thanks for your reply. Your reminder is very important !
> >
> >
> > Since we download the file to the local, remember to clean it up when the
> > flink client exits
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> > --
> >
> > Best regards,
> > Mang Zhang
> >
> >
> >
> >
> >
> > At 2022-03-23 10:02:26, "罗宇侠(莫辞)"
> > <luoyuxia.luoyu...@alibaba-inc.com.INVALID> wrote:
> > >Hi Ron, Thanks for starting this dicuss, some Spark/Hive users will
> > benefit from it. The flip looks good to me. I just have two minor questions:
> > >1. For synax explanation, I see it's "Create .... function as
> > identifier....", I think the word "identifier" may not be
> > self-dedescriptive for actually it's not a random name but the name of the
> > class that provides the implementation for function to be create.
> > >May be it'll be more clear to use "class_name" replace "identifier" just
> > like what Hive[1]/Spark[2] do.
> > >
> > >2. >> If the resource used is a remote resource, it will first download
> > the resource to a local temporary directory, which will be generated using
> > UUID, and then register the local path to the user class loader.
> > >For the above explanation in this FLIP, It seems for such statement sets,
> > >""
> > >Create function as org.apache.udf1 using jar 'hdfs://myudfs.jar';
> > >Create function as org.apache.udf2 using jar 'hdfs://myudfs.jar';
> > >""
> > > it'll download the resource 'hdfs://myudfs.jar' for twice. So is it
> > possible to provide some cache mechanism that we won't need to download /
> > store for twice?
> > >
> > >
> > >Best regards,
> > >Yuxia
> > >[1] https://cwiki.apache.org/confluence/display/hive/languagemanual+ddl
> > >[2]
> > https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-ddl-create-function.html------------------------------------------------------------------
> > >发件人：Mang Zhang<zhangma...@163.com>
> > >日 期：2022年03月22日 11:35:24
> > >收件人：<dev@flink.apache.org>
> > >主 题：Re:[DISCUSS] FLIP-214 Support Advanced Function DDL
> > >
> > >Hi Ron, Thank you so much for this suggestion, this is so good.
> > >In our company, when users use custom UDF, it is very inconvenient, and
> > the code needs to be packaged into the job jar,
> > >and cannot refer to the existing udf jar through the existing udf jar.
> > >Or pass in the jar reference in the startup command.
> > >If we implement this feature, users can focus on their own business
> > development.
> > >I can also contribute if needed.
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > >--
> > >
> > >Best regards,
> > >Mang Zhang
> > >
> > >
> > >
> > >
> > >
> > >At 2022-03-21 14:57:32, "刘大龙" <ld...@zju.edu.cn> wrote:
> > >>Hi, everyone
> > >>
> > >>
> > >>
> > >>
> > >>I would like to open a discussion for support advanced Function DDL,
> > this proposal is a continuation of FLIP-79 in which Flink Function DDL is
> > defined. Until now it is partially released as the Flink function DDL with
> > user defined resources is not clearly discussed and implemented. It is an
> > important feature for support to register UDF with custom jar resource,
> > users can use UDF more more easily without having to put jars under the
> > classpath in advance.
> > >>
> > >>Looking forward to your feedback.
> > >>
> > >>
> > >>
> > >>
> > >>[1]
> > https://cwiki.apache.org/confluence/display/FLINK/FLIP-214+Support+Advanced+Function+DDL
> > >>
> > >>
> > >>
> > >>
> > >>Best,
> > >>
> > >>Ron
> > >>
> > >>
> > >
> >
Hi, Peter, Thanks for your feedback. This work also has your effort, thank you
very much.
