Hi, Flink SQL follows the standard SQL, so I think SQL syntax will be richer and richer in higher versions, it will not be changed.
Best, Ron liu ron <ron9....@gmail.com> 于2023年4月13日周四 10:24写道： > Hi, > Flink SQL follows the standard SQL, so I think SQL syntax will be richer > and richer in higher versions, it will not be changed. > > Best, > Ron > > Shammon FY <zjur...@gmail.com> 于2023年4月13日周四 09:57写道： > >> Hi >> >> Currently, Calcite supports standard SQL, so I think the main SQL syntax >> will remain unchanged or backward compatible even when Flink upgrades its >> calcite version. You can refer to it. >> >> Best, >> Shammon FY >> >> >> On Tue, Apr 11, 2023 at 12:00 PM ravi_suryavanshi.yahoo.com via user < >> user@flink.apache.org> wrote: >> >>> Hi, >>> we have decided to use the Table API using Flink SQL syntax (NOT JAVA). >>> Can SQL syntax be changed in the higher version? >>> as per the doc "SQL support is based on Apache Calcite >>> <https://calcite.apache.org/> which implements the SQL standard." >>> >>> Thanks & Regards, >>> Ravi >>> On Saturday, 25 March, 2023 at 06:21:49 pm IST, Mate Czagany < >>> czmat...@gmail.com> wrote: >>> >>> >>> Hi, >>> >>> Please also keep in mind that restoring existing Table API jobs from >>> savepoints when upgrading to a newer minor version of Flink, e.g. 1.16 -> >>> 1.17 is not supported as the topology might change between these versions >>> due to optimizer changes. >>> >>> See here for more information: >>> https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/concepts/overview/#stateful-upgrades-and-evolution >>> >>> Regards, >>> Mate >>> >>> Hang Ruan <ruanhang1...@gmail.com> ezt írta (időpont: 2023. márc. 25., >>> Szo, 13:38): >>> >>> Hi, >>> >>> I think the SQL job is better. Flink SQL jobs can be easily shared with >>> others for debugging. And it is more suitable for flow batch integration. >>> For a small part of jobs which can not be expressed through SQL, we will >>> choose a job by DataStream API. >>> >>> Best, >>> Hang >>> >>> ravi_suryavanshi.yahoo.com via user <user@flink.apache.org> >>> 于2023年3月24日周五 17:25写道： >>> >>> Hello Team, >>> Need your advice on which method is recommended considering don't want >>> to change my query code when the Flink is updated/upgraded to the higher >>> version. >>> >>> Here I am seeking advice for writing the SQL using java code(Table API >>> function and Expression) or using pure SQL. >>> >>> I am assuming that SQL will not have any impact if upgraded to the >>> higher version. >>> >>> Thanks and Regards, >>> Ravi >>> >>>
