You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@hudi.apache.org by "KnightChess (Jira)" <ji...@apache.org> on 2022/07/01 07:51:00 UTC

[jira] [Created] (HUDI-4348) merge into will cause data quality in concurrent scene

KnightChess created HUDI-4348:
---------------------------------

             Summary: merge into will cause data quality in concurrent scene
                 Key: HUDI-4348
                 URL: https://issues.apache.org/jira/browse/HUDI-4348
             Project: Apache Hudi
          Issue Type: Bug
          Components: spark-sql
            Reporter: KnightChess


a hudi table with 15 billion pieces of data, the update records has 30 million every day, the 1000 records is different with hive table.

 

when I set `executor-cores 1` and `spark.task.cpus 1`, there is no problem, but when the parallelism over 1 in every executor, the data quality will appear.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)