[core] Fix paimon_incremental_query with limit push down #7269
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February 11, 2026 20:45
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* upstream/master: (33 commits) [core] Fix merge adjacent files in DataEvolutionCompactCoordinator [python] Rename list_tag to list_tags [python] add list tag for TagManager (apache#7264) [core][python] Introduce DataFileMeta.nonNullRowIdRange to unify codes [python] with_shard should be evenly distributed for data evolution mode (apache#7271) [core] Remove useless version in Varant [core] Should work with Split in DataTableBatchScan [core] Fix paimon_incremental_query with limit push down (apache#7269) [rest] Improve RestCatalog OpenAPI nonce generation (apache#7270) [cdc] Avoid sending empty schema change events to Schema Evolution (apache#7261) [python] Fix avro write timestamp without timezone wrongly (apache#7259) [doc] add doc for filter by _ROW_ID on data evolution (apache#7262) [fs] Extract jindo dls to separate module (apache#7263) [core] Add listTableDetails method to Catalog interface (apache#7266) [python] Support filter by _ROW_ID for data evolution (apache#7252) [Flink] Add sourceParallelismUpperBound metric for auto-scaling systems (apache#7117) [github] Add whether it is an AI-generated tag in the PR template (apache#7257) [core] Improve HttpClient error response handling (apache#7254) [python] Light refactor: move _is_blob_file check into DataFileMeta (apache#7256) [core] RowIdPredicateVisitor supports converting between statement (apache#7255) ...
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Purpose/Problem
paimon_incremental_query by tag with LIMIT throws:
java.lang.ClassCastException: org.apache.paimon.table.source.IncrementalSplit cannot be cast to org.apache.paimon.table.source.DataSplitThe detailed message from the user side is as following:
Caused by: java.lang.ClassCastException: class org.apache.paimon.table.source.IncrementalSplit cannot be cast to class org.apache.paimon.table.source.DataSplit (org.apache.paimon.table.source.IncrementalSplit and org.apache.paimon.table.source.DataSplit are in unnamed module of loader 'app') at org.apache.paimon.table.source.DataTableBatchScan.applyPushDownLimit(DataTableBatchScan.java:147) at org.apache.paimon.table.source.DataTableBatchScan.planWithoutAuth(DataTableBatchScan.java:106) at org.apache.paimon.table.source.AbstractDataTableScan.plan(AbstractDataTableScan.java:104) at org.apache.paimon.spark.PaimonBaseScan.inputSplits(PaimonBaseScan.scala:50) at org.apache.paimon.spark.PaimonBaseScan.inputPartitions(PaimonBaseScan.scala:61) at org.apache.paimon.spark.scan.BaseScan.toBatch(BaseScan.scala:129) at org.apache.paimon.spark.scan.BaseScan.toBatch$(BaseScan.scala:126) at org.apache.paimon.spark.PaimonBaseScan.toBatch(PaimonBaseScan.scala:68) at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.batch$lzycompute(BatchScanExec.scala:45) at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.batch(BatchScanExec.scala:45) at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.inputPartitions$lzycompute(BatchScanExec.scala:59) at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.inputPartitions(BatchScanExec.scala:59)Tests
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