huanghanyu-vungle opened a new issue, #6885:
URL: https://github.com/apache/iceberg/issues/6885
### Query engine
query engine: spark
### Question
If multiple processes modify an iceberg table at the same time, What
method does iceberg use to ensure the correctness of data writing，Can 100% of
the data written by different jobs not be lost?
For example:
I have two spark jobs，use spark.sql("merge into ...") in parallel, How to
ensure that the data written to each other is 100% correct，what method does
iceberg use to do this
thanks
--
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]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
