Commit 13f5f94
feat(parquet): compact level representation with generic writer dispatch (#9831)
# Which issue does this PR close?
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- Spawn off from #9653
- Contributes to #9731
# Rationale for this change
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See #9731
# What changes are included in this PR?
Represent definition and repetition levels as `LevelData`/`LevelDataRef`
with `Absent`, `Materialized`, and `Uniform` variants, and thread this
through Arrow level generation, CDC chunking, and the generic column
writer.
Uniform level runs, such as required fields and all-null pages, can now
be encoded without materializing dense `Vec<i16>` buffers. Add bulk run
support to `LevelEncoder`/`RleEncoder` so repeated levels are encoded in
amortized O(1) after the RLE warmup, while preserving histogram, row
count, null count, page splitting, and CDC chunk accounting.
# Are these changes tested?
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All tests passing. Coverage exercises bulk RLE level encoding,
compact/uniform `LevelData` slicing and writer roundtrips across Parquet
v1/v2, and CDC/Arrow writer behavior including all-null and nested-level
cases.
# Are there any user-facing changes?
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None.
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Signed-off-by: Hippolyte Barraud <hippolyte.barraud@datadoghq.com>
Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>1 parent c2021f1 commit 13f5f94
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