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https://issues.apache.org/jira/browse/FLINK-23613?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17393056#comment-17393056
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Jark Wu commented on FLINK-23613:
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> calculating the total number of delete or update record from mysql, or output 
> different 'op' of data to different tables for batch processing. 

If this is your use case, I would suggest to use "json" format instead of 
"debezium-json".
"debezium-json" will convert the events into Flink changelog (you can think it 
as of a materialized table equivalent to the original database table), that 
means you can't get an exepcted result when calculating count/sum for 
update/deletes. For example, count on deletes would always be zero, because 
there is no "delete" record in the original databse table. 

> debezium and canal support read medata op and type
> --------------------------------------------------
>
>                 Key: FLINK-23613
>                 URL: https://issues.apache.org/jira/browse/FLINK-23613
>             Project: Flink
>          Issue Type: New Feature
>          Components: Formats (JSON, Avro, Parquet, ORC, SequenceFile)
>            Reporter: Ward Harris
>            Priority: Major
>
> in our scene, there will be two types of database data delivered to the data 
> warehouse:
>  1. the first type is exactly the same as the online table
>  2. the second type adds two columns on the basis of the previous table, 
> representing action_type and action_time respectively, which is to record 
> events
>  in order to solve this demand by flink sql, it is necessary to be able to 
> read the action_type and action_time from debezium or canal metadata, 
> action_time can read from ingestion-timestamp metadata, but can not read 
> action_type from metadata.
> the database action is insert/update/delete, but there will be 
> insert/update_before/update_after/delete in Flink's RowKind, so action_type 
> is RowKind will be better for us. at the same time, flink needs to modify 
> RowKind to insert for record this event table.



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