[Feature][Connector-Paimon] Support dynamic bucket splitting improves Paimon writing efficiency #7335
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Hisoka-X
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...ink-13/src/main/java/org/apache/seatunnel/translation/flink/sink/FlinkSinkWriterContext.java
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...common/src/main/java/org/apache/seatunnel/translation/flink/sink/FlinkSinkWriterContext.java
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Please retrigger the ci. |
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.../java/org/apache/seatunnel/connectors/seatunnel/paimon/sink/bucket/PaimonBucketAssigner.java
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Thinks @hawk9821 . Good job. I think your e2e case needs to be added to the case of multi-parallelism, the current case is all single parallelism. In this way, we can effectively verify whether the dynamic bucketing will change depending on the degree of parallelism of the job. Also, I think you should check the bucket count in every case instead of making a separate case. In addition, each of your cases should verify that the dynamic-bucket.target-row-num argument works as expected. |
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...n-e2e/src/test/java/org/apache/seatunnel/e2e/connector/paimon/PaimonSinkDynamicBucketIT.java
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seatunnel-api/src/main/java/org/apache/seatunnel/api/sink/SinkWriter.java
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* [Improve] Update snapshot version to 2.3.8 * [Improve] Update snapshot version to 2.3.8
…mon writing efficiency
[Feature][CONNECTORS-V2-Paimon] spark task parallelism
[Feature][CONNECTORS-V2-Paimon] update doc [Feature][CONNECTORS-V2-Paimon] write to dynamic bucket table , spark flink e2e
…mon writing efficiency
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Purpose of this pull request
Support dynamic bucket splitting improves Paimon writing efficiency
Does this PR introduce any user-facing change?
no
How was this patch tested?
e2e: PaimonSinkDynamicBucketIT
UT: PaimonBucketAssignerTest#bucketAssigner
e2e case: PaimonSinkDynamicBucketIT#testPaimonBucketCountOnSparkAndFlink ，because spark and Flink engine can not auto create paimon table on worker node in local file, this e2e case work on local hdfs environment.
Check list
New License Guide
release-note.