Re: Re: Re: Discussion about enhancing the partitioned table syntax

2022-04-26 Thread Martijn Visser
t; https://cwiki.apache.org/confluence/display/FLINK/FLIP-63%3A+Rework+table+partition+support > > Best, > > Ron > > > -原始邮件- > > 发件人: "刘大龙" > > 发送时间: 2022-04-15 17:15:36 (星期五) > > 收件人: dev@flink.apache.org > > 抄送: > > 主题: Re: Re: Dis

Re: Re: Re: Discussion about enhancing the partitioned table syntax

2022-04-15 Thread 刘大龙
FLIP. [1] https://cwiki.apache.org/confluence/display/FLINK/FLIP-63%3A+Rework+table+partition+support Best, Ron > -原始邮件- > 发件人: "刘大龙" > 发送时间: 2022-04-15 17:15:36 (星期五) > 收件人: dev@flink.apache.org > 抄送: > 主题: Re: Re: Discussion about enhancing the part

Re: Re: Discussion about enhancing the partitioned table syntax

2022-04-15 Thread 刘大龙
of syntax part in FLIP [1]. [1] https://cwiki.apache.org/confluence/display/FLINK/FLIP-63%3A+Rework+table+partition+support Best, Ron > -原始邮件- > 发件人: "Jingsong Li" > 发送时间: 2022-04-15 16:02:37 (星期五) > 收件人: dev > 抄送: > 主题: Re: Discussion about enhancing

Re: Discussion about enhancing the partitioned table syntax

2022-04-15 Thread Jingsong Li
Thanks for taking this. There is a FLIP [1] to define some partition DMLs. If you have added DMLs, we need to vote again. (Create a new FLIP) [1] https://cwiki.apache.org/confluence/display/FLINK/FLIP-63%3A+Rework+table+partition+support Best, Jingsong On Fri, Apr 15, 2022 at 3:20 PM Martijn

Re: Discussion about enhancing the partitioned table syntax

2022-04-15 Thread Martijn Visser
Hi Ron, Thanks for reaching out to the mailing list. As I mentioned in the Jira ticket, a SQL syntax change requires a FLIP [1]. A FLIP requires a discussion and a vote, which is explained in more detail in the Flink Bylaws [2] Please create a FLIP and follow the process for this. Best regards,

Discussion about enhancing the partitioned table syntax

2022-04-15 Thread 刘大龙
Hi, everyone For partitioned table, there are still some related syntaxes that are not supported, which will be very useful for partitioned table. In batch analysis scenarios, such as Hive table, partitioned table is a very common case. Since the current Flink is mainly for streaming