enhance: reduce block inverted index build memory - #1813
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Signed-off-by: chasingegg <chao.gao@zilliz.com>
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What this PR does
similar to #1810
Why
The previous block-index build materialized one vector per active dimension and retained the complete encoded payload while allocating and filling the final contiguous container. High-dimensional sparse data therefore paid for millions of vector objects and allocations, duplicate encoded payload, allocator fragmentation, and a final copy.
The new path keeps only one scratch workspace per build worker. It trades a second encoding pass for substantially lower peak memory and fewer allocations.
Benchmark results
All builds used DAAT_MAXSCORE and 8 build threads. Benchmark sources are intentionally not included in this PR.
Synthetic high-dimensional IP data
10.56M rows, 24.8M active dimensions, 771.936M postings, 73.1 postings per row, and fp16 values.
The build-only memory increment decreased by 40.3% for block_streamvbyte and 33.6% for block_adaptive.
Real BM25 corpora
Results are averages of two runs per version. The four corpora are MS MARCO, NQ, FEVER, and HotpotQA.
Final serialized index sizes were identical before and after for every dataset and codec.
Compatibility
Validation
Related to #1730.