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[core][spark] Support ANALYZE TABLE on catalog-managed format tables#9298
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Merged
JingsongLi
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apache:master
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sundapeng:upstream/s6-analyze-format-table-partitionsAug 21, 2026
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6 changes: 4 additions & 2 deletions
6 paimon-core/src/main/java/org/apache/paimon/table/format/FormatTablePartitionManager.java
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205 changes: 162 additions & 43 deletions
205 ...core/src/main/java/org/apache/paimon/table/format/FormatTablePartitionStatsCollector.java
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[P2] Please run full-ANALYZE footer reads on Spark executors. This parallelizes files, but every footer open still runs in a driver-local pool, and the driver eagerly retains one
FileStatusplus oneFuturefor every data file before aggregation. A format table with hundreds of thousands or millions of files can therefore make ANALYZE driver-bound or exhaust the driver heap while executor capacity is idle. The Spark layer could batch file descriptors and process them with RDDmapPartitions, creatingFileIOand the stats extractor once per task and reducing partial results per catalog partition;format-table.statistics.parallelismcan bound the RDD partitions/storage concurrency. The engine-neutral footer parsing and merge logic can remain inpaimon-core, and NOSCAN can keep the local path.