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12 changes: 12 additions & 0 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -131,3 +131,15 @@ Sections commonly used: Features, Bug fixes, Other changes.
needs random access to the SA in RAM.

Initial release of Rust rewrite of STAR.
### Other changes

- The per-read transcript-filter bookkeeping is a fixed set of counters
rather than a `HashMap<&str, i32>`, removing a heap allocation per read
and a string hash per filtered transcript. Output is unchanged.

- The splice-motif check in the junction scan carries a sliding window
and looks the motif up in a table instead of re-reading four genome
bases and matching on them at every position. Output is unchanged
(SAM byte-identical on 200k reads); the scan itself goes from 8.5 ns
to 5.2 ns per iteration, measured by `examples/jrbench.rs`.

97 changes: 97 additions & 0 deletions examples/jrbench.rs
Original file line number Diff line number Diff line change
@@ -0,0 +1,97 @@
//! Is the junction scan stalled on memory, and is it the acceptor stream?
//!
//! The stack sampler gives self time, not cache misses, so this asks the
//! question by construction instead: run the same scan over the same genome,
//! changing only how far the acceptor sits from the donor. Everything else
//! (iteration count, branch pattern, instruction mix) is held fixed, because
//! `del` enters the loop only as an address offset once it is inside the
//! intron-length range.
//!
//! If time per iteration is flat across `del`, the loop is not memory-bound on
//! the acceptor and prefetching it would be wasted work. If it climbs with
//! `del`, that stream is the cost.
//!
//! Run: cargo run --release --example jrbench

use rustar_aligner::align::score::AlignmentScorer;
use rustar_aligner::genome::{Genome, GenomeSeq};
use std::time::Instant;

/// Deterministic pseudo-random bases, so the run is reproducible and the motif
/// hit rate is the same at every `del`.
fn synthetic_genome(n: usize) -> Genome {
let mut state = 0x2545_F491_4F6C_DD1Du64;
let mut seq = Vec::with_capacity(n);
for _ in 0..n {
state ^= state << 13;
state ^= state >> 7;
state ^= state << 17;
seq.push((state >> 33) as u8 & 3);
}
Genome {
transform_blocks: None,
sequence: GenomeSeq::Owned(seq),
n_genome: n as u64,
n_genome_real: n as u64,
n_chr_real: 1,
chr_name: vec!["chr1".to_string()],
chr_length: vec![n as u64],
chr_start: vec![0, n as u64],
}
}

fn main() {
// Large enough that the donor and acceptor streams cannot both stay in
// cache when they are far apart.
const N: usize = 256 << 20; // 256 MB of bases, one byte each
const READ_LEN: usize = 150;
const SCANS: usize = 20_000;

let genome = synthetic_genome(N);
let mut scorer = AlignmentScorer::from_params_minimal();
scorer.align_intron_min = 20;
scorer.align_intron_max = u32::MAX;

let mut read = vec![0u8; READ_LEN];
let mut state = 0x9E37_79B9_7F4A_7C15u64;
for b in read.iter_mut() {
state ^= state << 13;
state ^= state >> 7;
state ^= state << 17;
*b = (state >> 33) as u8 & 3;
}

println!("{:>12} {:>10} {:>12}", "del", "wall", "ns/iter");
for del in [64u64, 1_024, 16_384, 262_144, 4_194_304, 67_108_864] {
// Spread the scans over the genome so no single window stays resident.
let stride = (N as u64 - del - 4096) / SCANS as u64;
let iters_per_scan = 100usize; // r_gap 0 + next_seed_len 100
let t0 = Instant::now();
let mut sink = 0i64;
for k in 0..SCANS {
let g_a_end = 2048 + k as u64 * stride;
let (jr, _motif, score, _l, _r) = scorer.find_best_junction_position(
&read,
75,
g_a_end,
0,
del as i64,
&genome,
false,
N as u64,
75,
iters_per_scan,
);
sink += jr as i64 + score as i64;
}
let dt = t0.elapsed();
let iters = (SCANS * iters_per_scan) as f64;
println!(
"{:>12} {:>9.3}s {:>11.2} (sink {})",
del,
dt.as_secs_f64(),
dt.as_secs_f64() * 1e9 / iters,
sink
);
}
}
142 changes: 111 additions & 31 deletions src/align/read_align.rs
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,81 @@ use crate::params::{IntronMotifFilter, IntronStrandFilter, MultimapperOrder, Par
use crate::stats::UnmappedReason;
use std::hash::{DefaultHasher, Hash, Hasher};

/// Why a transcript was dropped by the quality filters.
///
/// A fixed set of counters rather than a `HashMap<&str, i32>`: this is built
/// once per read and incremented per filtered transcript, so the map cost a
/// heap allocation per read and a string hash per increment. The counts feed
/// two debug logs and the `unmapped_reason` decision below, all of which ask
/// only whether a count is non-zero, so nothing here can reach the output
/// except through that decision.
#[derive(Default, Clone, Copy)]
struct FilterReasons {
counts: [u32; FilterReasons::N],
}

impl FilterReasons {
const N: usize = 9;
const NAMES: [&'static str; Self::N] = [
"score_min",
"score_min_relative",
"mismatch_max",
"mismatch_rate",
"match_min",
"match_min_relative",
"noncanonical_junction",
"noncanonical_unannotated_junction",
"inconsistent_strand",
];

const SCORE_MIN: usize = 0;
const SCORE_MIN_RELATIVE: usize = 1;
const MISMATCH_MAX: usize = 2;
const MISMATCH_RATE: usize = 3;
const MATCH_MIN: usize = 4;
const MATCH_MIN_RELATIVE: usize = 5;
const NONCANONICAL_JUNCTION: usize = 6;
const NONCANONICAL_UNANNOTATED_JUNCTION: usize = 7;
const INCONSISTENT_STRAND: usize = 8;

#[inline]
fn add(&mut self, reason: usize) {
self.counts[reason] += 1;
}

#[inline]
fn has(&self, reason: usize) -> bool {
self.counts[reason] > 0
}

/// Any reason other than the two mismatch ones.
#[inline]
fn has_non_mismatch(&self) -> bool {
self.counts
.iter()
.enumerate()
.any(|(i, &c)| c > 0 && i != Self::MISMATCH_MAX && i != Self::MISMATCH_RATE)
}
}

impl std::fmt::Debug for FilterReasons {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
let mut first = true;
write!(f, "{{")?;
for (i, &c) in self.counts.iter().enumerate() {
if c == 0 {
continue;
}
if !first {
write!(f, ", ")?;
}
first = false;
write!(f, "{}: {}", Self::NAMES[i], c)?;
}
write!(f, "}}")
}
}

/// Derive a deterministic per-read RNG seed from `run_rng_seed` + the read name.
///
/// STAR seeds `std::mt19937` once per chunk/thread (`runRNGseed*(iChunk+1)`),
Expand Down Expand Up @@ -409,24 +484,24 @@ pub fn align_read(

// Log filtering statistics
let pre_filter_count = transcripts.len();
let mut filter_reasons = std::collections::HashMap::new();
let mut filter_reasons = FilterReasons::default();

transcripts.retain(|t| {
// Absolute score threshold
if t.score < params.out_filter_score_min {
*filter_reasons.entry("score_min").or_insert(0) += 1;
filter_reasons.add(FilterReasons::SCORE_MIN);
return false;
}

// Relative score threshold: STAR casts to intScore (i32)
if t.score < (params.out_filter_score_min_over_lread * lread_m1) as i32 {
*filter_reasons.entry("score_min_relative").or_insert(0) += 1;
filter_reasons.add(FilterReasons::SCORE_MIN_RELATIVE);
return false;
}

// Absolute mismatch count
if t.n_mismatch > params.out_filter_mismatch_nmax {
*filter_reasons.entry("mismatch_max").or_insert(0) += 1;
filter_reasons.add(FilterReasons::MISMATCH_MAX);
log::debug!(
"Filtered {}: {} mismatches > {} max (read_len={}, score={})",
read_name,
Expand All @@ -441,7 +516,7 @@ pub fn align_read(
// Relative mismatch count (mismatches / read_length)
let mismatch_rate = t.n_mismatch as f64 / read_length;
if mismatch_rate > params.out_filter_mismatch_nover_lmax {
*filter_reasons.entry("mismatch_rate").or_insert(0) += 1;
filter_reasons.add(FilterReasons::MISMATCH_RATE);
log::debug!(
"Filtered {}: {:.1}% mismatch rate > {:.1}% max ({}/{} bases, score={})",
read_name,
Expand All @@ -457,13 +532,13 @@ pub fn align_read(
// Absolute matched bases
let n_matched = t.n_matched();
if n_matched < params.out_filter_match_nmin as usize {
*filter_reasons.entry("match_min").or_insert(0) += 1;
filter_reasons.add(FilterReasons::MATCH_MIN);
return false;
}

// Relative matched bases: STAR casts to uint (u32)
if (n_matched as f64) < params.out_filter_match_nmin_over_lread * lread_m1 {
*filter_reasons.entry("match_min_relative").or_insert(0) += 1;
filter_reasons.add(FilterReasons::MATCH_MIN_RELATIVE);
return false;
}

Expand All @@ -475,7 +550,7 @@ pub fn align_read(
IntronMotifFilter::RemoveNoncanonical => {
// Reject if any junction is non-canonical
if t.junction_motifs.contains(&SpliceMotif::NonCanonical) {
*filter_reasons.entry("noncanonical_junction").or_insert(0) += 1;
filter_reasons.add(FilterReasons::NONCANONICAL_JUNCTION);
return false;
}
}
Expand All @@ -486,9 +561,7 @@ pub fn align_read(
.zip(t.junction_annotated.iter())
.any(|(m, annotated)| *m == SpliceMotif::NonCanonical && !annotated)
{
*filter_reasons
.entry("noncanonical_unannotated_junction")
.or_insert(0) += 1;
filter_reasons.add(FilterReasons::NONCANONICAL_UNANNOTATED_JUNCTION);
return false;
}
}
Expand All @@ -512,7 +585,7 @@ pub fn align_read(
}
}
if has_plus && has_minus {
*filter_reasons.entry("inconsistent_strand").or_insert(0) += 1;
filter_reasons.add(FilterReasons::INCONSISTENT_STRAND);
return false;
}
}
Expand Down Expand Up @@ -639,11 +712,9 @@ pub fn align_read(
// if the quality filter emptied the set, the best transcript failed → classify
// short/mismatch; otherwise, if too many loci survive, it's multi; else mapped.
let unmapped_reason = if transcripts.is_empty() {
let has_mismatch = filter_reasons.contains_key("mismatch_max")
|| filter_reasons.contains_key("mismatch_rate");
let has_other = filter_reasons
.keys()
.any(|k| *k != "mismatch_max" && *k != "mismatch_rate");
let has_mismatch = filter_reasons.has(FilterReasons::MISMATCH_MAX)
|| filter_reasons.has(FilterReasons::MISMATCH_RATE);
let has_other = filter_reasons.has_non_mismatch();
if has_mismatch && !has_other {
Some(UnmappedReason::TooManyMismatches)
} else {
Expand Down Expand Up @@ -1708,14 +1779,17 @@ mod tests {
fn test_unmapped_reason_mismatch_classification() {
// Verify the filter_reasons logic used to derive unmapped_reason.
// mismatch-only → TooManyMismatches; anything else (or mixed) → TooShort.
let classify = |reasons: &[&str]| -> UnmappedReason {
let filter_reasons: std::collections::HashMap<&str, i32> =
reasons.iter().map(|k| (*k, 1)).collect();
let has_mismatch = filter_reasons.contains_key("mismatch_max")
|| filter_reasons.contains_key("mismatch_rate");
let has_other = filter_reasons
.keys()
.any(|k| *k != "mismatch_max" && *k != "mismatch_rate");
// Drives `FilterReasons` itself rather than re-implementing the
// decision: the previous version of this test kept its own copy of the
// logic, so it would have passed even if the shipped code had changed.
let classify = |reasons: &[usize]| -> UnmappedReason {
let mut filter_reasons = FilterReasons::default();
for &r in reasons {
filter_reasons.add(r);
}
let has_mismatch = filter_reasons.has(FilterReasons::MISMATCH_MAX)
|| filter_reasons.has(FilterReasons::MISMATCH_RATE);
let has_other = filter_reasons.has_non_mismatch();
if has_mismatch && !has_other {
UnmappedReason::TooManyMismatches
} else {
Expand All @@ -1724,25 +1798,31 @@ mod tests {
};

assert_eq!(
classify(&["mismatch_max"]),
classify(&[FilterReasons::MISMATCH_MAX]),
UnmappedReason::TooManyMismatches
);
assert_eq!(
classify(&["mismatch_rate"]),
classify(&[FilterReasons::MISMATCH_RATE]),
UnmappedReason::TooManyMismatches
);
assert_eq!(
classify(&["mismatch_max", "mismatch_rate"]),
classify(&[FilterReasons::MISMATCH_MAX, FilterReasons::MISMATCH_RATE]),
UnmappedReason::TooManyMismatches
);
// Mixed with score filter → TooShort
assert_eq!(
classify(&["mismatch_max", "score_min"]),
classify(&[FilterReasons::MISMATCH_MAX, FilterReasons::SCORE_MIN]),
UnmappedReason::TooShort
);
// Score-only → TooShort
assert_eq!(classify(&["score_min"]), UnmappedReason::TooShort);
assert_eq!(classify(&["match_min"]), UnmappedReason::TooShort);
assert_eq!(
classify(&[FilterReasons::SCORE_MIN]),
UnmappedReason::TooShort
);
assert_eq!(
classify(&[FilterReasons::MATCH_MIN]),
UnmappedReason::TooShort
);
}

#[test]
Expand Down
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