lyne7-sc opened a new pull request, #2379:
URL: https://github.com/apache/auron/pull/2379
# Which issue does this PR close?
Closes #2378
# Rationale for this change
Spark's `BatchScanExec` can carry runtime filters for dynamic partition
pruning. These filters are resolved after planning and can reduce the input
partitions/files that a scan should read.
Auron's native Iceberg scan should preserve and apply these runtime filters
so dynamic partition pruning can reduce Iceberg scan work on the native path.
# What changes are included in this PR?
- Pass `BatchScanExec.runtimeFilters` into `NativeIcebergTableScanExec`.
- Re-plan the Iceberg scan with runtime filters before native execution.
- Cache runtime-filtered Iceberg scan plans separately from static scan
plans.
- Add a shim method to copy `BatchScanExec` with runtime filters across
supported Spark versions.
- Add Iceberg integration tests for:
- Parquet native scan with dynamic partition pruning;
- ORC native scan with dynamic partition pruning;
- dynamic pruning to empty partitions;
- changelog scan with dynamic partition pruning.
# Are there any user-facing changes?
Queries using native Iceberg scan can read fewer partitions/files when Spark
dynamic partition pruning applies. No API change.
# How was this patch tested?
Added `AuronIcebergIntegrationSuite` cases.
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