So far was able to set up a number of flows using JDBC connector and a technique to pull the records based on the offset of the ID field in the table. It works, but what happens if there is a deletion or an update that needs to propagate? Is there a way to handle those use cases using JDBC connector?
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Hi Pat,I responded to your private email yesterday. Did you see my message?In short, we are targeting MySql, MSSql, Postgres, Mongo, S3 and Kinesis as sources, and would be writing to Kafka as a primary destination.I'd be interested to learn how to implement "Change Data Capture" option with MsSql, but also Mysql and Postgres. I saw the CDC tab on the JDBC configuration screen, but not sure what the Transaction ID Column Name would be for SQL server.I found this on MSDN (https://msdn.microsoft.com/en-us/library/ms186327.aspx), so will give it a try using "transaction_id".
Regards,Oleg
On Thursday, August 25, 2016 at 1:01:32 PM UTC-4, Pat Patterson wrote:Hi Oleg,In the general case, there are two options with the JDBC Origin: incremental and full. Incremental mode uses the offset technique, as you have already discovered. Full mode periodically pulls all the data specified in the query.However... We do support 'change data capture' (CDC) for MS SQL Server, and, coming soon, Oracle. CDC uses database-specific techniques to obtain a feed of transactions. With CDC you will get 'insert', 'update' and 'delete' records.I'm interested in your use case... What destination(s) are you planning to write the data to? Feel free to reply to me privately if need be.On Thu, Aug 25, 2016 at 8:21 AM, Oleg Berfirer <oleg.b...@gmail.com> wrote:So far was able to set up a number of flows using JDBC connector and a technique to pull the records based on the offset of the ID field in the table. It works, but what happens if there is a deletion or an update that needs to propagate? Is there a way to handle those use cases using JDBC connector?--
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