homesickjava opened a new issue, #1587: URL: https://github.com/apache/incubator-paimon/issues/1587
### Search before asking - [X] I searched in the [issues](https://github.com/apache/incubator-paimon/issues) and found nothing similar. ### Paimon version 0.5 ### Compute Engine flink ### Minimal reproduce step I have met this data bias when sync data from mysql to paimon. and my command is as following, and I have 800000 records in mysql table. ./flink run -Dscan.mode=latest -Dstreaming-read-mode=file -Dexecution.checkpointing.interval=1s -Dclassloader.check-leaked-classloader=false paimon-flink-action-0.5-SNAPSHOT.jar mysql-sync-table --warehouse hdfs://pcosmo-gyos03:8020/user/root/paimon --database paimon_test --table paimon_sync_wangke --computed-columns 'current_login_time=avg(current_login_time)' --mysql-conf hostname=10.206.32.3 --mysql-conf port=9006 --mysql-conf username=root --mysql-conf password=123456 --mysql-conf database-name=paimontest --mysql-conf table-name='wangke' --catalog-conf metastore=hive --catalog-conf uri=thrift://10.206.32.3:9083 --table-conf write-manifest-cache=1024mb --table-conf manifest.full-compaction-threshold-size=16mb --table-conf scan.manifest.parallelism=4 --table-conf scan.split-enumerator.batch-size=4 --table-conf bucket=4 --table-conf changelog-producer=input --table-conf sink.parallelism=4 --table-conf execution.checkpointing.timeout=60min --table-conf execution.checkpo inting.interval=5min --table-conf full-compaction.delta-commits=3 --table-conf changelog-producer=full-compaction --table-conf scan.mode=compacted-full --table-conf num-sorted-run.stop-trigger=2147483647 --table-conf sort-spill-threshold=10 --table-conf write-buffer-size=4096mb --table-conf taskmanager.memory.managed.size=1m --table-conf write-buffer-spillable=true  ### What doesn't meet your expectations? I want to solve this data bias ### Anything else? _No response_ ### Are you willing to submit a PR? - [X] I'm willing to submit a PR! -- 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]
