The content has been edited in FLIP format, but I don't have wiki permissions and can't create a wiki document.
https://docs.google.com/document/d/1bgKV9Teq8ktHZOAJ7EKzgSqP11Q4ZT2EM8BndOtDgy0/edit Leonard Xu <xbjt...@gmail.com> 于2024年5月21日周二 22:50写道： > Thanks Jerry for kicking off this thread, the idea makes sense to me, JDBC > Sink is users’ need and Flink CDC project should support it soon. > > Could you share your design docs(FLIP) firstly[1]？ And then we can > continue the design discussion. > > Please feel free to ping me if you have any concerns about FLIP process or > Flink CDC design part. > > Best, > Leonard > [1] https://cwiki.apache.org/confluence/display/FLINK/FLIP+Template > > > > 2024年5月15日 下午3:06，Jerry <kiss...@gmail.com> 写道： > > > > Hi all > > My name is ZhengjunZhou, an user and developer of FlinkCDC. In my recent > > projects, I realized that we could enhance the capabilities of > > Flink-CDC-Pipeline by introducing a JDBC Sink plugin, enabling FlinkCDC > to > > directly output change data capture (CDC) to various JDBC-supported > > database systems. > > > > Currently, while FlinkCDC offers support for a wide range of data > sources, > > there is no direct solution for sinks, especially for common relational > > databases. I believe that adding a JDBC Sink plugin will significantly > > boost its applicability in data integration scenarios. > > > > Specifically, this plugin would allow users to configure database > > connections and stream data directly to SQL databases via the standard > JDBC > > interface. This could be used for data migration tasks as well as > real-time > > data synchronization. > > > > To further discuss this proposal and gather feedback from the community, > I > > have prepared a preliminary design draft and hope to discuss it in detail > > in the upcoming community meeting. Please consider the potential value of > > this feature and provide your insights and guidance. > > > > Thank you for your time and consideration. I look forward to your active > > feedback and further discussion. > > > > [1] https://github.com/apache/flink-connector-jdbc > >
