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Commits
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763e2a2090 |
iceberg: record geometry bounds on the data files compaction writes (#11898)
* iceberg: record geometry bounds on the data files compaction writes Compaction collected column statistics for every primitive column except geometry: the bound converter has no geometry case, so a compacted file's manifest entry carried value and null counts for a geometry column but no lower or upper bound. Readers that skip files by these bounds for a spatial filter (for example DuckDB for `geom && <box>`) had to open every compacted file, where the files before compaction could be skipped. The bound follows the spec's single-value serialization for geometry: the lower bound is the point (xmin, ymin), the upper bound (xmax, ymax), each an 8-byte little-endian double; z and m are not written. It is the union of the written file's row-group geospatial statistics, which parquet-go computes from every non-null value. A bound that is too small makes a reader skip rows, so any doubt gives none: a row group with non-null values but no geospatial statistics (parquet-go omits them when a value does not parse as WKB), a box that is not finite, an inverted box, or a chunk whose statistics cannot be read. A row group of nulls only constrains nothing. Geography gets no bound, as iceberg-go writes none for it (geodesic edges, boxes across the antimeridian). Tests: points and polygons far apart through a bin-packed compaction (the bound equals the union of every geometry), a sorted compaction (any bound covers every geometry), a column of nulls only, an unparseable value in a second row group (no bound; without the rule the file got the bound of the first row group only), geography, and the aggregation rules. * iceberg: do not order compaction bins by a geometry column When a table declares no usable sort order, compaction orders a bin's files by the first column every file has bounds for. A v3 table whose first column is a geometry qualifies as soon as its files carry geometry bounds (DuckDB writes them, and compacted files now do too). Those bounds decode into geo literals that compareLiterals cannot compare, so the order sorted nothing, yet an oversized bin was still split into "ordered" runs by splitOrderedBin. Geometry and geography columns are now skipped in both the declared sort order and the inferred one, so such a table is ordered by its next column with bounds. Test: TestResolveCompactionOrderSkipsGeometry, a geometry column first and an id column second; on master the order is the geometry column. --------- Co-authored-by: Javier de la Torre <jatorre@lakehousebox.com> |
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0305e837fd |
iceberg maintenance: keep compacted files prunable (stats, bound order, row groups) (#11654)
* iceberg maintenance: record column statistics on compacted files A compacted file's manifest entry was built with no column_sizes, value_counts, null_value_counts, lower_bounds, upper_bounds or split_offsets, so no reader could skip a compacted file on any predicate. parquet-go already writes exact per-chunk min/max and null counts into the footer; read that footer back after the merge and record it on the data file, bounds as the spec's single-value serialization with string and binary truncated as truncate(16). A column whose bounds cannot be converted exactly gets none, and a statistics failure is logged while the compaction commits anyway: metrics are an optimization, not a correctness requirement. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com> * iceberg maintenance: merge bins in bound order so compacted files stay prunable A bin's files were concatenated in manifest order, or largest-first when a partition was split under the target size, so inputs disjoint on a column came out as outputs that overlapped on it. Order each bin's files by their bounds on one column before merging and split an oversized partition into runs of consecutive files, so every output covers one contiguous range. The column is the first identity field of the table's sort order when it declares one (a descending order sorts by upper bound), otherwise the first schema column every candidate file has bounds for; detection resolves the same order so it plans the bins execution builds. Files without bounds keep the old behavior. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com> * iceberg maintenance: cap compacted files' row groups from table config Neither merge writer set a row-group limit (parquet-go's default is unlimited rows), so every compacted file was a single row group and readers could not skip inside it either. Rows per row group now come from the table's write.parquet.row-group-limit and write.parquet.row-group-size-bytes, defaulting to PyIceberg's 1 048 576 rows and Iceberg's 128 MiB, with the byte size turned into rows from the bin's inputs' compressed bytes per row and a floor of 1 024 rows. Both writers take the cap, and the statistics the entry records list one split offset per row group. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com> * iceberg: keep compaction order eligibility per group, rescue stranded runs The merge order resolved over all candidates, so one oversized or non-Parquet file without bounds disabled ordering for files that could participate. Resolve it per partition group over the eligible entries. Ordered runs too short to merge were dropped entirely. Runs from an inferred bounds order now fall back to size-based packing — ordering is a preference there — while runs under a declared sort order are still left for later passes so the sort contract holds. An explicit write.parquet.row-group-limit is a cap, not a floor: values below the estimate floor are now honored instead of being raised. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com> * iceberg: only use the declared sort order when its bounds are complete An entry without bounds on the sort column sorted to the tail and merged into an output claiming an order it cannot verify. Fall back to bound inference instead of ordering by a later sort field alone. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com> * iceberg maintenance: keep ordered runs when the full repack yields nothing The bestEffort leftover fallback removed the ordered runs before checking whether repacking the whole bin produced any bins, discarding valid compaction work. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com> --------- Co-authored-by: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com> |