Re: [PR] [FLINK-35323][runtime] Fix transform failure when one rule matches multiple tables with incompatible schema [flink-cdc]

2024-06-03 Thread via GitHub


melin commented on PR #3313:
URL: https://github.com/apache/flink-cdc/pull/3313#issuecomment-2144744535

   Table A_1 has the same schema as table A_2, but A_3 has more fields than 
A_1. This scenario is not supported. 


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Re: [PR] [FLINK-35323][runtime] Fix transform failure when one rule matches multiple tables with incompatible schema [flink-cdc]

2024-06-02 Thread via GitHub


leonardBang merged PR #3313:
URL: https://github.com/apache/flink-cdc/pull/3313


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Re: [PR] [FLINK-35323][runtime] Fix transform failure when one rule matches multiple tables with incompatible schema [flink-cdc]

2024-05-19 Thread via GitHub


yuxiqian commented on PR #3313:
URL: https://github.com/apache/flink-cdc/pull/3313#issuecomment-2119538130

   Could @PatrickRen please take a look? Thanks!


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[PR] [FLINK-35323][runtime] Fix transform failure when one rule matches multiple tables with incompatible schema [flink-cdc]

2024-05-10 Thread via GitHub


yuxiqian opened a new pull request, #3313:
URL: https://github.com/apache/flink-cdc/pull/3313

   This closes [FLINK-35323](https://issues.apache.org/jira/browse/FLINK-35323).
   
   Currently, Transform module doesn’t support handling multiple tables with 
different schema within one projection / filtering rule. A minimum reproducible 
example is:
   
   ```yaml
   transform:
 - source-table: DB.TABLE\.*
   projection: \*
   ```
   
   If there are `DB.TABLE1` and `DB.TABLE2` in upstream source but with 
different schema, transform operator will panic.


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