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< h1 id = "mphf-selection-two-phase-indexing-architecture" > MPHF selection — two-phase indexing architecture< / h1 >
< h2 id = "indexing-architecture" > Indexing architecture< / h2 >
< p > Kmer indexing per partition proceeds in two phases. The separation is necessary because the exact number of unique kmers in a partition is not known until after counting and filtering.< / p >
< h3 id = "superkmer-vs-kmer-counts" > Superkmer vs kmer counts< / h3 >
< p > The < code > SKFileMeta< / code > sidecar written by < code > SKFileWriter< / code > records < code > instances< / code > (unique superkmers) and < code > length_sum< / code > (total nucleotides). A superkmer of length L contains L − k + 1 kmers, so the kmer count per partition can be estimated as < code > length_sum − instances × (k − 1)< / code > . This is an < strong > overestimate< / strong > of unique kmers: two distinct superkmers (different flanking contexts, same minimizer) can share kmers. The exact count of unique kmers is only known after enumerating and deduplicating them.< / p >
< p > Note: two superkmers sharing a kmer necessarily share the same minimizer and therefore always land in the same partition — no kmer can appear in two different partitions.< / p >
< h3 id = "phase-1-provisional-index-and-spectrum" > Phase 1 — provisional index and spectrum< / h3 >
< ol >
< li > Enumerate all kmers from the dereplicated superkmers of the partition.< / li >
< li > Build a provisional MPHF over this key set; capacity is pre-allocated from the sidecar estimate (slight overestimate, harmless).< / li >
< li > Accumulate counts: for each kmer in each superkmer, < code > count[MPHF(kmer)] += sk.count()< / code > .< / li >
< li > Compute the kmer frequency spectrum (histogram: occurrences → number of kmers).< / li >
< li > Apply count filter (e.g. discard singletons). After filtering, the exact number of surviving kmers is known.< / li >
< li > Discard the provisional MPHF.< / li >
< / ol >
< h3 id = "phase-2-definitive-index" > Phase 2 — definitive index< / h3 >
< p > Build a new MPHF over the filtered kmer set only, with the exact key count available. This is the persistent per-partition index used for all downstream operations (queries, set operations).< / p >
< hr / >
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< h2 id = "candidates" > Candidates< / h2 >
< p > < strong > boomphf< / strong > (BBHash algorithm, maintained by 10X Genomics):< / p >
< ul >
< li > ~3.7 bits/key; mature crate, used in production bioinformatics (Pufferfish, Piscem)< / li >
< li > Parallel construction; well-tested with DNA kmer data at scale< / li >
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< li > Drawback: largest space footprint; streaming construction (no exact count needed) was its main differentiator — irrelevant here since exact count is available at phase 2< / li >
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< / ul >
< p > < strong > ptr_hash< / strong > (PtrHash algorithm, Groot Koerkamp, SEA 2025):< / p >
< ul >
< li > ~2.4 bits/key; fastest queries (≥2.1× over alternatives, 8– 12 ns/key for u64 in tight loops) and fastest construction (≥3.1× )< / li >
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< li > Requires exact key count at construction — available at phase 2< / li >
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< li > Drawback: published February 2025 — very young, no production track record< / li >
< / ul >
< p > < strong > FMPHGO< / strong > (< code > ph< / code > crate, Beling, ACM JEA 2023):< / p >
< ul >
< li > ~2.1 bits/key — most compact of the three; good query speed; parallelisable construction< / li >
< li > More established than ptr_hash; actively maintained< / li >
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< li > Works well with overestimated capacity → natural fit for phase 1< / li >
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< / ul >
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< h2 id = "mphf-choice-per-phase" > MPHF choice per phase< / h2 >
< p > < strong > Phase 1< / strong > (provisional, discarded after spectrum computation): FMPHGO. Tolerates overestimated capacity, compact, no need to optimise for query speed on a temporary structure.< / p >
< p > < strong > Phase 2< / strong > (persistent, queried repeatedly): open between FMPHGO and ptr_hash. Exact key count is available, so both operate optimally. ptr_hash's query speed advantage (2.1– 3.3× ) is meaningful for the persistent index but carries the risk of a very young crate. FMPHGO is the conservative default; ptr_hash is worth revisiting once it has broader production use.< / p >
< p > boomphf is effectively eliminated: its space overhead is the largest and its streaming-construction advantage does not apply here.< / p >
< hr / >
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< h2 id = "space-at-scale" > Space at scale< / h2 >
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< p > For 1 024 partitions × 100 M kmers/partition (phase 2 index, after filtering):< / p >
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< table >
< thead >
< tr >
< th > MPHF< / th >
< th > bits/key< / th >
< th > Total MPHF size< / th >
< / tr >
< / thead >
< tbody >
< tr >
< td > boomphf< / td >
< td > 3.7< / td >
< td > ~47 GB< / td >
< / tr >
< tr >
< td > ptr_hash< / td >
< td > 2.4< / td >
< td > ~31 GB< / td >
< / tr >
< tr >
< td > FMPHGO< / td >
< td > 2.1< / td >
< td > ~27 GB< / td >
< / tr >
< / tbody >
< / table >
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< p > For a human genome at 30× coverage with 1 024 partitions, realistic partition sizes are 3– 30 M unique kmers → 1– 8 MB per phase-2 MPHF, well within RAM.< / p >
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< h2 id = "on-disk-and-mmap-considerations" > On-disk and mmap considerations< / h2 >
< p > All three are in-memory structures. Their internal representation is flat bit arrays (no heap pointers), making them serialisable as contiguous byte blobs and mmappable per partition. True zero-copy access would require rkyv integration; the < code > ph< / code > crate currently uses serde, so loading involves a copy. Given per-partition MPHF sizes of 1– 8 MB, the OS page cache handles this transparently — strict zero-copy is a refinement, not a blocker.< / p >
< p > No established Rust crate provides a natively on-disk MPHF. < strong > SSHash< / strong > (Sparse and Skew Hash) is a complete kmer dictionary designed for disk access and is order-preserving (overlapping kmers receive consecutive indices → cache-friendly count access), but it is C++-only and covers more than just the MPHF layer.< / p >
< h2 id = "open-questions" > Open questions< / h2 >
< ul >
2026-04-29 22:52:42 +02:00
< li > Confirm actual partition sizes and overestimation factor on representative metagenomic datasets.< / li >
< li > Revisit ptr_hash for phase 2 once the crate has broader production track record.< / li >
< li > Assess rkyv integration cost for FMPHGO if true zero-copy mmap becomes necessary for the persistent index.< / li >
2026-04-16 22:38:20 +02:00
< li > Keep SSHash in mind if the indexing architecture is reconsidered at a higher level.< / li >
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