melin commented on issue #6259: URL: https://github.com/apache/hudi/issues/6259#issuecomment-1210461138
For the data written by spark sql, avoid quality problems (for example, a field has an invalid value, or the data volume fluctuates greatly compared to the previous cycle), and configure some data quality rules. spark sql writes the data, and then executes the quality rules. If the rule detection passes, the 'call procedure command' publishes the written data and can be queried. If there is a problem with the data quality, the 'call procedure command' deletes the generated data. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
