feat(table): equality-delete read support in merge-on-read scans#19
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abnobdoss wants to merge 5 commits into
Open
feat(table): equality-delete read support in merge-on-read scans#19abnobdoss wants to merge 5 commits into
abnobdoss wants to merge 5 commits into
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added 5 commits
June 23, 2026 09:13
Implements the READ path for equality deletes (DataFileContent.EQUALITY_DELETES) in PyArrow merge-on-read scans, building on the DeleteFileIndex matching/pruning from PR apache#3285. - DeleteFileIndex now indexes equality deletes at (seq-1) so they apply only to data files with a strictly smaller data sequence number, with null-count and bounds-based pruning ported from PR apache#3285. - plan_files no longer raises on equality deletes; routes them into the index. - _read_all_delete_files splits positional vs equality delete files; equality delete files are read into Arrow tables keyed by file path. - _task_to_record_batches applies equality deletes after positional deletes and the row filter, anti-joining the data batch on the equality_ids columns. The common no-null case uses a fast Arrow left-anti join; delete rows with NULL keys use a null-aware pass implementing Iceberg IS NOT DISTINCT FROM semantics. - Equality-id key columns are added to the projected field ids so they are read even when not in the user projection. Tests: 4 end-to-end ArrowScan read tests (single-column, multi-column AND-match, no-match, null-key) plus DeleteFileIndex seq-scoping/pruning unit tests.
Address adversarial review: make test_equality_delete_no_match load-bearing (include a matching key so it fails if deletes are ignored) and add test_equality_delete_multi_batch verifying eq-delete application across record-batch boundaries.
…chema evolution and type promotion, support REST plan path
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