[core][flink] Support incremental clustering for append bucketed table #6835
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LsomeYeah
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JingsongLi
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Dec 24, 2025
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My idea is that the clustering of this Bucketed table is like merging small files of Append+Bucket-1 table, directly generating tasks for different concurrent writer to reads and writes separately.
| runsInfo); | ||
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| partitionLevels.forEach( |
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Too deep. Use for loop.
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Good idea! I will encapsulate the local-sort operation within a single bucket into a Task and move it to paimon-core, which will also facilitate integration with multiple other engines. |
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Purpose
Linked issue: close #xxx
By default, Paimon's append bucketed tables maintain data ordering. However, this ordering requirement can be relaxed to enable additional optimizations.
This PR introduces the ability to disable ordering requirements for append bucketed tables, allowing incremental clustering within buckets. When ordering is not strictly required, data can be incrementally clustered within each bucket, significantly improving query performance for
bucket-key + clustering-keycombinations.Unlike append-unaware tables that require range partitioning, bucketed tables only need to shuffle by partition + bucket and perform local clustering within each bucket partition, making this approach much more efficient and resource-friendly.
Tests
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