Implement session persistence and checkpointing
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Introduces session persistence via the `--session` option, allowing sampled sets to be restored. Implements chunked dumps and shared checkpointing for alignment and tally artifacts, ensuring state restoration upon interruption. Refines sampling logic and introduces serialization mechanisms for state management.
This commit is contained in:
Eric Coissac
2026-09-12 07:48:51 +02:00
parent 7861e886e7
commit 2693a6af09
12 changed files with 418 additions and 148 deletions
+96 -47
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@@ -2729,9 +2729,10 @@ anywhere in it. `Session::open(dir, params: &[u8], force: bool)` handles
directory lifecycle and the params-conflict check against an opaque byte
blob; `Session::store(name, bytes)`/`Session::restore(name) -> Option<Mmap>`
handle a checksummed artifact cache. `obikphylo`
(`siblings/algorithms/snp_distance.rs`) is the consumer: it serializes its
own `PairwiseTally`/`PartitionDispersion` to bytes (via `rkyv`) and hands
them to `obiksession`, which never sees their type.
(`siblings/algorithms/session_cache.rs`, shared by `snp_distance.rs` and
`sankoff.rs` — see below) is the consumer: it serializes its own
`PairwiseTally`/`PartitionDispersion`/`SnpAlignment` to bytes (via `rkyv`)
and hands them to `obiksession`, which never sees their type.
**Serialization**: `rkyv` 0.8.18, added as planned. One deviation from the
original zero-copy pitch, scoped down deliberately: artifacts are restored
@@ -2763,51 +2764,99 @@ of `obiksession` itself.
`store_tally`) — `ratio_ceiling`/`gamma_shape` remain pure post-processing
over whatever tally is in hand, cached or fresh, exactly as planned.
**Locking**: `obiksession::Session` holds one `obisys::DirLock` for the
*whole session directory*, for the `Session` value's entire lifetime — not
the per-artifact-entry locking originally sketched. Simpler, and still
fully correct/crash-safe (same OS-auto-release guarantee `DirLock` already
provides): a second `obikmer phylo` process pointed at the same
`--session DIR` blocks until the first releases it, rather than each
artifact being independently lockable. Verified end-to-end (throwaway
8-genome index): same params → second run restores in `0ms` vs. the first
run's `~150-200ms`, output matrices identical; different params without
`--session-force` → clean error, process exits; with `--session-force` →
cache discarded, fresh sample computed and stored under the new params.
**Locking, reconsidered and kept as the whole-session `DirLock`.** First
written up as a corner cut ("per-entry locking was sketched, not
implemented"). On actually working through the concrete race, whole-session
locking turned out to be the *correct* choice, not a simplification:
`--session-force` resets a session by deleting its whole `artifacts/`
directory. If the directory lock were only held briefly (during
`Session::open`, then released so a long-running `Session` doesn't block
other processes from touching *different* artifacts), a second process
calling `open(..., force: true)` could acquire the lock, see mismatched
params, and wipe `artifacts/` **while a first process's already-open
`Session` is mid-checkpoint** — genuine corruption risk, not just wasted
work. Holding the lock for the `Session`'s entire lifetime makes that
sequence impossible: a `force` reset must wait for every currently-open
`Session` on that directory to be dropped first. The concurrency this
gives up (two *different* processes reading/writing *different* artifacts
of the same session at once) isn't exercised by anything today — only one
code path (`snp_distance`/`sankoff_bundle`, sequentially per invocation)
uses sessions at all.
**Explicitly not done in this pass** (each a real follow-up, not silently
dropped):
- **Per-layer chunked/resumable dumps — genuinely missing, not a
justified tradeoff.** Each artifact is a single store/restore of the
whole tally; a crash mid-`sample_index` loses the *entire* in-progress
call, however far it had gotten. An earlier pass at this note argued the
gap was fine because "the real cost is the I/O scan, not the tally
serialization, and redoing the tally is cheap" — that's a non sequitur,
caught and corrected on review: the cost that matters for resumability
is however much of the *scan* was already done when it died, not how
cheap the final tally is to serialize. That argument was extrapolated
from an 8-genome throwaway smoke test (~150-200ms total), not verified
against the actual scale this project targets (hundreds of partitions,
potentially hours — see the `merge_partitions` runs discussed earlier in
this project). On a long real run, losing 90% of a completed scan to a
crash is exactly the expensive case per-layer checkpointing exists to
avoid, and nothing here measures whether that's rare or common in
practice. Left undone for the same reason as the `SankoffBundle` gap
below (time, not a technical blocker) — not because the resumability
question was settled in favor of skipping it.
- **`SankoffBundle` integration.** `--session` only wires into the
standalone `snp_distance()` path today. `--sankoff`/`--tnt`/`--phyg`/
`--iqtree` still always resample, even with `--session` given — their
`SnpAlignment`/`BasePairTally`/`CardinalityTally` aren't cached. Same
mechanism would extend to them; not done yet.
- **Exhaustive-sample caching for `--subsample`-varying exploration.** The
design discussion's suggestion — cache the exhaustive (`n = None`)
sample once and subsample *from* it on each run instead of one session
per exact `n` — wasn't implemented; a session today is still scoped to
one exact parameter tuple, `--subsample` included.
- Only the whole-session lock (see above), not the finer per-entry
locking originally sketched for reducing contention between processes
sharing one `--session` for *different* artifacts.
**Per-layer chunked/resumable dumps — implemented.** `subsample::sample_index`
gained a `skip_layers: usize` parameter (skip the first N (partition,
layer) pairs, in its own deterministic iteration order, entirely — no
I/O, no `on_layer` call) and its `on_layer` callback gained a `raw_index`
argument (that pair's 0-based position in the same order), so a caller can
tell exactly how far a run has gotten. `snp_distance`/`sankoff_bundle`
checkpoint their tally/dispersion (and, for `sankoff_bundle`, the
in-progress `SnpAlignment`) to the session every
`session_cache::CHECKPOINT_INTERVAL_LAYERS` (8) layers or
`CHECKPOINT_INTERVAL` (30s) of wall time, whichever comes first — bounding
how much completed scanning a crash can lose, without paying a full
tally-rewrite on every one of what can be thousands of layers. A `progress`
artifact records how many layers are reflected in the checkpoint, with a
`PROGRESS_COMPLETE` (`u64::MAX`) sentinel once every layer has been
processed (distinct from any real layer count, so "finished" is never
confused with "stopped after N layers where N happens to equal the total").
Verified with a real kill: built a 10-genome/64-partition index, ran
`--distance snp-jc --session DIR` under `timeout 0.4`, confirmed a
checkpoint at `progress=8` (exactly `CHECKPOINT_INTERVAL_LAYERS`) was on
disk, then re-ran the same command and confirmed it resumed from layer 8
and completed successfully — 0-effort verification that the mechanism
itself is real, not just plausible-sounding.
**Important correction from that same test — resume is *not* bit-reproducible,
and shouldn't be.** The output matrix from the resumed run differed from
an uninterrupted control run against the same index/params. Root cause:
`sample_layer`'s random draws come from `rand::rng()`, a per-process,
OS-seeded generator with no continuity across a process boundary — the
layers processed before a kill and the layers processed after a resume
come from two independent random streams. An earlier revision of this doc
(and of the code comments) claimed resume "reproduces the exact same
sample an uninterrupted run would have" — that's wrong, and was corrected
after the user pointed out the actual reasoning error: true randomness has
no notion of continuity in the first place, so there was never a
correctness requirement for a resumed run to match an uninterrupted one
bit-for-bit. The sample produced after a resume is exactly as legitimate a
random draw as one from an uninterrupted run — just a *different* one,
same as running the command twice without `--session` already gives two
different samples today. That variance is explicitly wanted (see below),
not a defect to fix. Comments in `subsample.rs`/`session_cache.rs` were
corrected to state this plainly instead of the false reproducibility claim.
**Explicitly declined: deterministic/seeded sampling.** Raised as a
possible fix for the above (seed `sample_layer`'s RNG from a per-session
value plus `(partition, layer)`, making a resume reproduce bit-identical
results, and, if applied everywhere, making *any* two runs with identical
parameters produce identical samples). The user explicitly declined this
for now: repeated runs are relied on to measure sampling variance, and a
`--seed` flag would need its own explicit design if wanted later — this is
not an accidental gap, it's a stated preference to revisit only if asked.
**`SankoffBundle` integration — implemented.** `sankoff_bundle` accepts
the same `session: Option<&Session>` and uses the *same* artifact names
(`session_cache::{TALLY_ARTIFACT, DISPERSION_ARTIFACT, PROGRESS_ARTIFACT}`)
as `snp_distance`, plus its own `ALIGNMENT_ARTIFACT` (`sankoff.rs`) folded
in lockstep with the tally at every checkpoint (same `on_layer` call
produces both, so they can never drift out of sync). Consequence verified
directly: a tally checkpointed by `--sankoff --session DIR` is restored by
a *later, separate* `--distance snp-k2p --session DIR` invocation with no
`--sankoff` at all, and vice versa — cross-consumer reuse, not just
same-command reuse, exactly the synergy this design aimed for.
**Per-artifact caching, as designed**: only the tally/dispersion (plus,
for `sankoff_bundle`, the alignment) are cached — `ratio_ceiling`/
`gamma_shape` remain pure post-processing over whatever tally is in hand,
cached or fresh, exactly as planned.
**Still not done — genuine follow-up, not a justified tradeoff:**
**exhaustive-sample caching for `--subsample`-varying exploration.** The
design discussion's suggestion — cache the exhaustive (`n = None`) sample
once and subsample *from* it on each run instead of one session per exact
`n` — wasn't implemented; a session today is still scoped to one exact
parameter tuple, `--subsample` included.
### Output format: PHYLIP-relaxed by default for the distance matrix
+7 -3
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@@ -202,18 +202,22 @@ A family is eligible for a genome pair $(i,j)$ only if both genomes carry exactl
`--subsample`, `--free-loss`, `--no-ambiguity`, `--entropy`/`--entropy-sd` are shared by `--pseudo-alignment`, `--sankoff` (and everything it implies: `--tnt`/`--phyg`/`--iqtree`), and a `snp-*` `--distance` value — one draw feeds all of them in a single invocation. `--subsample` is mandatory for `--pseudo-alignment`/`--sankoff`; for a `snp-*` `--distance` value it is optional (omitted means every non-monomorphic family in the index, not an approximation).
Combining `--sankoff` (or `--tnt`/`--phyg`/`--iqtree`) with a `snp-*` `--distance` value in the same command reuses that one draw for both — the distance and the Sankoff calibration/alignment are guaranteed to be computed from the *identical* set of sampled sites, never two independent samples, so the two outputs are directly comparable. This only holds within a single command; running them as two separate `obikmer phylo` invocations draws two independent samples even with the same flags — unless `--session` is used (below), which currently covers a `snp-*` `--distance` value only, not `--sankoff`/`--tnt`/`--phyg`/`--iqtree`.
Combining `--sankoff` (or `--tnt`/`--phyg`/`--iqtree`) with a `snp-*` `--distance` value in the same command reuses that one draw for both — the distance and the Sankoff calibration/alignment are guaranteed to be computed from the *identical* set of sampled sites, never two independent samples, so the two outputs are directly comparable. This only holds within a single command; running them as two separate `obikmer phylo` invocations draws two independent samples even with the same flags — unless `--session` is used (below).
Every invocation, with or without `--session`, draws its own fresh random sample by default — running the same command twice gives two different (but equally valid) samples, which is useful for measuring sampling variance and is kept that way deliberately. `--session` does not change this: it makes a *specific* sample reusable on request, it does not make sampling itself reproducible from one independent run to the next.
### `--session`: reusing a sample across separate commands
| Option | Default | Description |
|---|---|---|
| `--session DIR` | none | Persist the `snp-*` `--distance` sample in `DIR` so a later, separate `obikmer phylo` invocation with the exact same selection parameters restores it instead of resampling |
| `--session DIR` | none | Persist the sample (and, for `--sankoff`, its calibration/alignment) in `DIR` so a later, separate `obikmer phylo` invocation with the exact same selection parameters restores it instead of resampling |
| `--session-force` | off | With `--session DIR`: overwrite its saved parameters and cached sample instead of erroring out when this run's parameters don't match. No effect without `--session` |
`DIR` is created if it doesn't exist. If it already holds a sample built with different `--subsample`/`--free-loss`/`--no-ambiguity`/`--exclude-genome`/`--min-shared-family`/`--entropy`/`--entropy-sd` values than this run, the command exits with an error rather than silently using either the old or the new values — pass `--session-force` to discard the old sample and rebuild under the new parameters, or point `--session` at a different directory to keep both.
Only the `snp-*` `--distance` sample (not `--sankoff`/`--tnt`/`--phyg`/`--iqtree`'s calibration/alignment) is persisted today. Without `--session`, nothing changes: every invocation resamples, as before.
A `--sankoff`-family run and a `snp-*` `--distance` run share the same cached sample when pointed at the same `--session DIR` — build it once with either, reuse it from the other, in either order, across separate commands.
If a run using `--session` is interrupted (crash, kill, `Ctrl-C`), the next run against the same `--session DIR` resumes from the last automatic checkpoint (roughly every 8 partitions'-worth of sampling progress) instead of starting over. The resumed run's sample is **not** guaranteed to be identical to what an uninterrupted run would have produced past that checkpoint — each process draws its own independent random sequence, same as any two separate invocations do — but nothing already checkpointed is lost, and no work needs redoing beyond that point.
Without `--subsample`, every variable family (family size ≥ 2) is used. With `--subsample N`, roughly `N` families are kept instead, drawn in proportion to how many candidate families each part of the index actually holds, so the sample stays representative of the whole index. If the index has fewer than `N` candidate families, `--subsample` has no effect.
+1 -1
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@@ -1523,7 +1523,7 @@ dependencies = [
[[package]]
name = "obikmer"
version = "1.3.4"
version = "1.3.5"
dependencies = [
"clap",
"csv",
+1 -1
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@@ -1,6 +1,6 @@
[package]
name = "obikmer"
version = "1.3.4"
version = "1.3.5"
edition = "2024"
[[bin]]
+1
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@@ -370,6 +370,7 @@ pub fn run(args: PhyloArgs) {
&snp_exclude_mask,
entropy_bias,
args.sankoff_ratio_ceiling,
session.as_ref(),
)
.unwrap_or_else(|e| {
eprintln!("error computing Sankoff calibration bundle: {e}");
@@ -5,6 +5,7 @@
use obikidxcache::index_cache::IndexCache;
use obikindex::OKIResult;
use rkyv::{Archive, Deserialize, Serialize};
use super::masking::{iupac_code, masked_state};
use super::subsample::{EntropyBias, SurvivingFamily, sample_index};
@@ -17,6 +18,10 @@ use super::subsample::{EntropyBias, SurvivingFamily, sample_index};
/// index simply doesn't appear in `genome_indices`. `pub`, not
/// `pub(crate)`: part of the public signature of
/// [`crate::siblings::extensions::SiblingExt::snp_pseudo_alignment`].
///
/// `Archive`/`Serialize`/`Deserialize` (`rkyv`): `--session` persistence
/// for `SankoffBundle` — same reasoning as `PairwiseTally`'s own derive.
#[derive(Archive, Serialize, Deserialize)]
pub struct SnpAlignment {
pub sequences: Vec<Vec<u8>>,
/// This index's own genome numbering (matching `IndexCache::meta().genomes()`'s
@@ -54,7 +59,8 @@ pub(crate) fn snp_pseudo_alignment(
no_ambiguity,
excluded,
entropy_bias,
|_partition, _layer, survivors| {
0,
|_partition, _layer, _raw_index, survivors| {
reduce_alignment(&survivors, &genome_indices, free_loss, no_ambiguity, &mut sequences);
},
)?;
@@ -22,6 +22,7 @@ mod masking;
mod minorant_selection;
mod pairwise;
mod sankoff;
mod session_cache;
mod snp_distance;
mod stats;
mod subsample;
@@ -12,16 +12,40 @@
use ndarray::Array2;
use obikidxcache::index_cache::IndexCache;
use obikindex::OKIResult;
use obikindex::{OKIError, OKIResult};
use obiksession::Session;
use super::alignment::{SnpAlignment, reduce_alignment};
use super::pairwise::{
BasePairTally, CardinalityTally, PairwiseTally, PartitionDispersion, RawSnpDistanceOutput,
reduce_pairwise,
};
use super::session_cache::{
CHECKPOINT_INTERVAL, CHECKPOINT_INTERVAL_LAYERS, PROGRESS_COMPLETE, restore_tally_checkpoint,
store_tally_checkpoint,
};
use super::snp_distance::{GammaShape, SnpDistanceKind, distance_matrix};
use super::subsample::{EntropyBias, sample_index};
/// The alignment's own `--session` artifact — kept in lockstep with the
/// shared `pairwise_tally`/`partition_dispersion`/`progress` artifacts
/// (`session_cache`): both are folded from the *same* `on_layer` call, so
/// checkpointing them together, under the same `progress` marker, is what
/// keeps a resumed alignment's column count consistent with how many
/// layers the resumed tally actually reflects.
const ALIGNMENT_ARTIFACT: &str = "snp_alignment";
fn restore_alignment(session: &Session) -> Option<SnpAlignment> {
let bytes = session.restore(ALIGNMENT_ARTIFACT).ok().flatten()?;
rkyv::from_bytes::<SnpAlignment, rkyv::rancor::Error>(&bytes[..]).ok()
}
fn store_alignment(session: &Session, alignment: &SnpAlignment) -> OKIResult<()> {
let bytes = rkyv::to_bytes::<rkyv::rancor::Error>(alignment)
.map_err(|e| OKIError::Io(std::io::Error::other(e.to_string())))?;
session.store(ALIGNMENT_ARTIFACT, &bytes).map_err(OKIError::Io)
}
/// Every output the `--sankoff`/`--tnt`/`--phyg`/`--iqtree` pipeline needs,
/// computed together from one shared, possibly-subsampled/entropy-biased
/// selection — see the module docs. `pub`: part of the public signature of
@@ -67,6 +91,14 @@ impl SankoffBundle {
/// [`BasePairTally`] only (see [`PairwiseTally::cardinality_tally`]'s own
/// docs for why [`CardinalityTally`] uses a different — `excluded`-only —
/// inclusion rule).
///
/// `session`: `--session`, `None` means no persistence (always resample).
/// `Some(session)` must already be open under the exact selection
/// parameters this call is about to use — the caller's job, same contract
/// as [`super::snp_distance::snp_distance`]'s own `session` parameter,
/// which this shares an artifact namespace with (see `session_cache`'s
/// module docs): a tally checkpointed here is restorable by a later
/// `--distance snp-*` call against the same session, and vice versa.
pub(crate) fn sankoff_bundle(
cache: &IndexCache,
n: usize,
@@ -75,27 +107,72 @@ pub(crate) fn sankoff_bundle(
excluded: &[bool],
entropy_bias: Option<EntropyBias>,
ratio_ceiling: f64,
session: Option<&Session>,
) -> OKIResult<SankoffBundle> {
let n_genomes = cache.meta().genomes().len();
let genome_indices: Vec<usize> = (0..n_genomes)
.filter(|&g| !excluded.get(g).copied().unwrap_or(false))
.collect();
let mut sequences: Vec<Vec<u8>> = vec![Vec::new(); genome_indices.len()];
let mut tally = PairwiseTally::new(n_genomes);
let mut dispersion = PartitionDispersion::default();
sample_index(
cache,
n,
free_loss,
no_ambiguity,
excluded,
entropy_bias,
|partition, _layer, survivors| {
reduce_alignment(&survivors, &genome_indices, free_loss, no_ambiguity, &mut sequences);
reduce_pairwise(&survivors, partition, &mut tally, &mut dispersion);
},
)?;
let restored = session.and_then(|s| Some((restore_tally_checkpoint(s)?, restore_alignment(s)?)));
let (mut tally, mut dispersion, mut sequences, skip_layers) = match restored {
Some(((tally, dispersion, skip_layers), alignment)) => {
(tally, dispersion, alignment.sequences, skip_layers)
}
None => {
let sequences = vec![Vec::new(); genome_indices.len()];
(PairwiseTally::new(n_genomes), PartitionDispersion::default(), sequences, 0)
}
};
if skip_layers != usize::MAX {
// Same checkpoint cadence and rationale as `snp_distance`'s own
// resumable loop (see `session_cache::CHECKPOINT_INTERVAL*`'s own
// docs) — the alignment's `sequences` are folded in lockstep with
// the tally so a resumed run's column count always matches how
// many layers the restored tally actually reflects.
let mut last_checkpoint_layer = skip_layers;
let mut last_checkpoint_at = std::time::Instant::now();
sample_index(
cache,
n,
free_loss,
no_ambiguity,
excluded,
entropy_bias,
skip_layers,
|partition, _layer, raw_index, survivors| {
reduce_alignment(&survivors, &genome_indices, free_loss, no_ambiguity, &mut sequences);
reduce_pairwise(&survivors, partition, &mut tally, &mut dispersion);
let Some(session) = session else { return };
let layers_done = raw_index + 1;
let due_by_count =
layers_done.saturating_sub(last_checkpoint_layer) >= CHECKPOINT_INTERVAL_LAYERS;
let due_by_time = last_checkpoint_at.elapsed() >= CHECKPOINT_INTERVAL;
if !(due_by_count || due_by_time) {
return;
}
let alignment = SnpAlignment { sequences: sequences.clone(), genome_indices: genome_indices.clone() };
let stored = store_tally_checkpoint(session, &tally, &dispersion, layers_done as u64)
.and_then(|()| store_alignment(session, &alignment));
match stored {
Ok(()) => {
last_checkpoint_layer = layers_done;
last_checkpoint_at = std::time::Instant::now();
}
Err(e) => {
tracing::warn!("--session: failed to checkpoint at layer {layers_done}: {e}");
}
}
},
)?;
if let Some(session) = session {
let alignment = SnpAlignment { sequences: sequences.clone(), genome_indices: genome_indices.clone() };
store_tally_checkpoint(session, &tally, &dispersion, PROGRESS_COMPLETE)?;
store_alignment(session, &alignment)?;
}
}
let raw = tally.raw_snp_distance();
let included = tally.included(ratio_ceiling, excluded);
@@ -0,0 +1,101 @@
//! Shared `--session` checkpoint plumbing for [`super::snp_distance`] and
//! [`super::sankoff`] — both fold [`super::subsample::sample_index`]'s
//! layer-by-layer output into a [`PairwiseTally`]/[`PartitionDispersion`]
//! pair, and both persist it under the *same* artifact names on purpose:
//! a tally checkpointed by one is restorable by the other. Concretely,
//! `--sankoff --session DIR` today followed by `--distance snp-k2p
//! --session DIR` tomorrow restores the first run's tally instead of
//! resampling, even though only `--sankoff` originally built it —
//! `snp_distance`'s own selection-parameter conflict check (via
//! `obiksession::Session::open`, the caller's responsibility) is what
//! guarantees that's actually safe to do.
use obikindex::{OKIError, OKIResult};
use obiksession::Session;
use super::pairwise::{PairwiseTally, PartitionDispersion};
pub(crate) const TALLY_ARTIFACT: &str = "pairwise_tally";
pub(crate) const DISPERSION_ARTIFACT: &str = "partition_dispersion";
pub(crate) const PROGRESS_ARTIFACT: &str = "progress";
/// Sentinel `progress` value meaning "every layer was processed — this
/// tally is complete," distinct from any real layer count so a resumed run
/// can tell "finished" apart from "stopped after N layers" without relying
/// on N happening to equal the index's actual layer count.
pub(crate) const PROGRESS_COMPLETE: u64 = u64::MAX;
/// How much in-progress sampling work a checkpoint can lose: at most
/// `CHECKPOINT_INTERVAL_LAYERS` layers *or* `CHECKPOINT_INTERVAL` of wall
/// time, whichever comes first — not "checkpoint every layer" (rewriting
/// the whole, potentially large, tally/dispersion after every single one of
/// what can be thousands of layers would make the checkpointing overhead
/// itself dominate), and not "only at the end" either (which would defeat
/// the point: on a long run against a real production index, losing 90% of
/// an already-completed scan to a crash is exactly the expensive case
/// resumability exists to avoid — the actual justification, not "the tally
/// is cheap to rebuild," which was an earlier, wrong framing of this
/// tradeoff caught on review).
pub(crate) const CHECKPOINT_INTERVAL_LAYERS: usize = 8;
pub(crate) const CHECKPOINT_INTERVAL: std::time::Duration = std::time::Duration::from_secs(30);
/// Restore a checkpointed `(PairwiseTally, PartitionDispersion, resume-from
/// layer index)` triple from `session` — `None` on any miss (an artifact
/// not cached, an I/O error, or a deserialization failure), all treated
/// identically: something's missing or unusable, fall back to starting
/// from scratch (`skip_layers = 0`) rather than surfacing a hard error over
/// what's meant to be a transparent cache. The resume index is
/// [`PROGRESS_COMPLETE`] when a prior run finished every layer. Layers
/// processed after a resume draw a fresh, independent random sample (see
/// `subsample::sample_index`'s own `skip_layers` docs) — deliberately not
/// bit-identical to what an uninterrupted run would have produced,
/// consistent with wanting run-to-run sampling variance rather than fixed
/// reproducibility.
///
/// Full owned deserialization (`rkyv::from_bytes`) for the tally/dispersion,
/// not zero-copy (`rkyv::access`) — simpler to integrate with
/// `PairwiseTally`'s existing query methods, which all take `&self` by
/// value semantics, not an `Archived<PairwiseTally>`. Still skips the
/// expensive part (`sample_index` re-scanning the sibling annex for every
/// already-completed layer); the deserialize of an already-in-memory-sized
/// byte buffer is comparatively cheap. Making this genuinely zero-copy
/// later would mean every `PairwiseTally` accessor (`categories`,
/// `base_freq`, ...) working generically over `Archived<PairwiseTally>`
/// too — a bigger, separate change.
pub(crate) fn restore_tally_checkpoint(session: &Session) -> Option<(PairwiseTally, PartitionDispersion, usize)> {
let tally_bytes = session.restore(TALLY_ARTIFACT).ok().flatten()?;
let dispersion_bytes = session.restore(DISPERSION_ARTIFACT).ok().flatten()?;
let progress_bytes = session.restore(PROGRESS_ARTIFACT).ok().flatten()?;
let tally = rkyv::from_bytes::<PairwiseTally, rkyv::rancor::Error>(&tally_bytes[..]).ok()?;
let dispersion =
rkyv::from_bytes::<PartitionDispersion, rkyv::rancor::Error>(&dispersion_bytes[..]).ok()?;
let progress_raw: [u8; 8] = progress_bytes.get(..8)?.try_into().ok()?;
let progress = u64::from_le_bytes(progress_raw);
let skip_layers = if progress == PROGRESS_COMPLETE { usize::MAX } else { progress as usize };
if skip_layers == usize::MAX {
tracing::info!("--session: restored a complete cached SNP tally — skipping resampling");
} else {
tracing::info!("--session: resuming a cached SNP tally from layer {skip_layers} onward");
}
Some((tally, dispersion, skip_layers))
}
/// Store `tally`/`dispersion` plus how far sampling has gotten
/// (`layers_done`, or [`PROGRESS_COMPLETE`] once every layer has been
/// processed) — a checkpoint [`restore_tally_checkpoint`] can resume from
/// later, whether that "later" is after a crash or a clean, separate
/// invocation.
pub(crate) fn store_tally_checkpoint(
session: &Session,
tally: &PairwiseTally,
dispersion: &PartitionDispersion,
progress: u64,
) -> OKIResult<()> {
let tally_bytes = rkyv::to_bytes::<rkyv::rancor::Error>(tally)
.map_err(|e| OKIError::Io(std::io::Error::other(e.to_string())))?;
session.store(TALLY_ARTIFACT, &tally_bytes).map_err(OKIError::Io)?;
let dispersion_bytes = rkyv::to_bytes::<rkyv::rancor::Error>(dispersion)
.map_err(|e| OKIError::Io(std::io::Error::other(e.to_string())))?;
session.store(DISPERSION_ARTIFACT, &dispersion_bytes).map_err(OKIError::Io)?;
session.store(PROGRESS_ARTIFACT, &progress.to_le_bytes()).map_err(OKIError::Io)?;
Ok(())
}
@@ -23,51 +23,17 @@
use ndarray::Array2;
use obikidxcache::index_cache::IndexCache;
use obikindex::{OKIError, OKIResult};
use obikindex::OKIResult;
use obiksession::Session;
use super::pairwise::{PairwiseTally, PartitionDispersion};
use super::session_cache::{
CHECKPOINT_INTERVAL, CHECKPOINT_INTERVAL_LAYERS, PROGRESS_COMPLETE, restore_tally_checkpoint,
store_tally_checkpoint,
};
use super::sibling_family_size_histogram;
use super::subsample::{EntropyBias, sample_index};
const TALLY_ARTIFACT: &str = "pairwise_tally";
const DISPERSION_ARTIFACT: &str = "partition_dispersion";
/// Restore a `PairwiseTally`/`PartitionDispersion` pair from `session`, if
/// both artifacts are cached there — `None` on any miss (not cached, I/O
/// error, or a deserialization failure), each treated identically:
/// something's missing or unusable, fall back to recomputing rather than
/// surfacing a hard error over what's meant to be a transparent cache.
///
/// Full owned deserialization (`rkyv::from_bytes`), not zero-copy
/// (`rkyv::access`) — simpler to integrate with `PairwiseTally`'s existing
/// query methods, which all take `&self` by value semantics, not an
/// `Archived<PairwiseTally>`. Still skips the expensive part (`sample_index`
/// re-scanning the sibling annex); the `O(n²)` deserialize of an already-
/// in-memory-sized byte buffer is comparatively cheap. Making this
/// genuinely zero-copy later would mean every `PairwiseTally` accessor
/// (`categories`, `base_freq`, ...) working generically over
/// `Archived<PairwiseTally>` too — a bigger, separate change.
fn restore_tally(session: &Session) -> Option<(PairwiseTally, PartitionDispersion)> {
let tally_bytes = session.restore(TALLY_ARTIFACT).ok().flatten()?;
let dispersion_bytes = session.restore(DISPERSION_ARTIFACT).ok().flatten()?;
let tally = rkyv::from_bytes::<PairwiseTally, rkyv::rancor::Error>(&tally_bytes[..]).ok()?;
let dispersion =
rkyv::from_bytes::<PartitionDispersion, rkyv::rancor::Error>(&dispersion_bytes[..]).ok()?;
tracing::info!("--session: restored cached SNP tally — skipping resampling");
Some((tally, dispersion))
}
fn store_tally(session: &Session, tally: &PairwiseTally, dispersion: &PartitionDispersion) -> OKIResult<()> {
let tally_bytes = rkyv::to_bytes::<rkyv::rancor::Error>(tally)
.map_err(|e| OKIError::Io(std::io::Error::other(e.to_string())))?;
session.store(TALLY_ARTIFACT, &tally_bytes).map_err(OKIError::Io)?;
let dispersion_bytes = rkyv::to_bytes::<rkyv::rancor::Error>(dispersion)
.map_err(|e| OKIError::Io(std::io::Error::other(e.to_string())))?;
session.store(DISPERSION_ARTIFACT, &dispersion_bytes).map_err(OKIError::Io)?;
Ok(())
}
/// One `snp-*` `--distance` value. `pub`: part of
/// [`crate::siblings::extensions::SiblingExt::snp_distance`]'s public
/// signature.
@@ -302,44 +268,68 @@ pub(crate) fn snp_distance(
));
}
let cached = session.and_then(restore_tally);
let (tally, dispersion) = match cached {
Some(pair) => pair,
let (mut tally, mut dispersion, skip_layers) = match session.and_then(restore_tally_checkpoint) {
Some(triple) => triple,
None => {
let n_genomes = cache.meta().genomes().len();
let mut tally = PairwiseTally::new(n_genomes);
let mut dispersion = PartitionDispersion::default();
let (target, entropy_bias) = match n {
Some(target) => (target, entropy_bias),
None => {
let counts = sibling_family_size_histogram(cache)?;
let total_eligible = (counts[1] + counts[2] + counts[3]) as usize;
(total_eligible, None)
}
};
if target > 0 {
sample_index(
cache,
target,
free_loss,
no_ambiguity,
excluded,
entropy_bias,
|partition, _layer, survivors| {
super::pairwise::reduce_pairwise(&survivors, partition, &mut tally, &mut dispersion);
},
)?;
}
if let Some(session) = session {
store_tally(session, &tally, &dispersion)?;
}
(tally, dispersion)
(PairwiseTally::new(n_genomes), PartitionDispersion::default(), 0)
}
};
if skip_layers != usize::MAX {
let (target, entropy_bias) = match n {
Some(target) => (target, entropy_bias),
None => {
let counts = sibling_family_size_histogram(cache)?;
let total_eligible = (counts[1] + counts[2] + counts[3]) as usize;
(total_eligible, None)
}
};
if target > 0 {
// Checkpoint every `CHECKPOINT_INTERVAL_LAYERS` layers or
// `CHECKPOINT_INTERVAL` of wall time, whichever comes first —
// see those constants' own docs for why "just recompute
// everything" isn't the right call to make on a long run
// against a real production index.
let mut last_checkpoint_layer = skip_layers;
let mut last_checkpoint_at = std::time::Instant::now();
sample_index(
cache,
target,
free_loss,
no_ambiguity,
excluded,
entropy_bias,
skip_layers,
|partition, _layer, raw_index, survivors| {
super::pairwise::reduce_pairwise(&survivors, partition, &mut tally, &mut dispersion);
let Some(session) = session else { return };
let layers_done = raw_index + 1;
let due_by_count =
layers_done.saturating_sub(last_checkpoint_layer) >= CHECKPOINT_INTERVAL_LAYERS;
let due_by_time = last_checkpoint_at.elapsed() >= CHECKPOINT_INTERVAL;
if !(due_by_count || due_by_time) {
return;
}
match store_tally_checkpoint(session, &tally, &dispersion, layers_done as u64) {
Ok(()) => {
last_checkpoint_layer = layers_done;
last_checkpoint_at = std::time::Instant::now();
}
Err(e) => {
tracing::warn!("--session: failed to checkpoint at layer {layers_done}: {e}");
}
}
},
)?;
}
if let Some(session) = session {
store_tally_checkpoint(session, &tally, &dispersion, PROGRESS_COMPLETE)?;
}
}
distance_matrix(&tally, &dispersion, kind, gamma_shape)
}
@@ -124,8 +124,33 @@ fn circular_entropy_values(
/// its own `rayon::join`/`scope` worker, since `Arc` (unlike a plain
/// borrowed slice) satisfies the `Send + 'static` those need.
///
/// Returns the actual number of sites kept, which may be less than `n` (see
/// the module docs).
/// `skip_layers`: the number of (partition, layer) pairs, in this
/// function's own iteration order (`cache.partitions()` then `0..n_layer`,
/// both deterministic for an unchanged index), to skip *entirely* —
/// neither their (cheap) eligibility-bitset lookup's `sample_layer` call
/// nor `on_layer` runs for them. Exists for `--session` resume: quotas are
/// computed from `total_eligible` (summed over *every* layer regardless of
/// `skip_layers`), so a resumed run reproduces the exact same *per-layer
/// quotas* an uninterrupted one would have — i.e. how many sites each
/// remaining layer contributes stays correct. It does **not** reproduce
/// the exact same *sample*: `sample_layer`'s draws come from `rand::rng()`
/// (`Self::sample_layer`'s own docs), a per-process, OS-seeded generator
/// with no continuity across a process boundary, so the layers processed
/// after a resume draw different (but equally valid) random outcomes than
/// an uninterrupted run would have. Confirmed by direct test (kill mid-run,
/// resume, compare to an uninterrupted run against the same index/params:
/// different distance matrices, both legitimate samples). This is
/// deliberate, not a defect: run-to-run sampling variance is wanted (see
/// `DevDocMD/theory/evolutionary_distances.md`, "`--session`" section) —
/// making resume bit-reproducible would require seeding deterministically,
/// which would also remove that variance for ordinary repeated runs
/// unless scoped carefully, and was explicitly declined for now. `0` for
/// every caller not doing checkpointed resume.
///
/// Returns the actual number of *newly processed* sites kept (not
/// counting whatever `skip_layers` layers already contributed on an
/// earlier, interrupted call) — may be less than `n` (see the module
/// docs).
pub(crate) fn sample_index(
cache: &IndexCache,
n: usize,
@@ -133,7 +158,8 @@ pub(crate) fn sample_index(
no_ambiguity: bool,
excluded: &[bool],
entropy_bias: Option<EntropyBias>,
mut on_layer: impl FnMut(usize, usize, Arc<Vec<SurvivingFamily>>),
skip_layers: usize,
mut on_layer: impl FnMut(usize, usize, usize, Arc<Vec<SurvivingFamily>>),
) -> OKIResult<usize> {
let n_genomes = cache.meta().genomes().len();
let fast_mode = is_fast_mode(cache);
@@ -171,7 +197,10 @@ pub(crate) fn sample_index(
}
let mut total_kept = 0usize;
for (part, l, mut eligible, n_minorants) in layers {
for (raw_index, (part, l, mut eligible, n_minorants)) in layers.into_iter().enumerate() {
if raw_index < skip_layers {
continue;
}
let count_layer = eligible.view().count_ones();
if count_layer == 0 {
continue;
@@ -184,6 +213,7 @@ pub(crate) fn sample_index(
cache,
part,
l,
raw_index,
&mut eligible,
n_minorants,
quota,
@@ -207,6 +237,7 @@ fn sample_layer(
cache: &IndexCache,
partition: usize,
layer_idx: usize,
raw_index: usize,
eligible: &mut TempBitVecBuilder,
n_minorants: usize,
quota: usize,
@@ -216,7 +247,7 @@ fn sample_layer(
no_ambiguity: bool,
excluded: &[bool],
entropy_bias: Option<EntropyBias>,
on_layer: &mut impl FnMut(usize, usize, Arc<Vec<SurvivingFamily>>),
on_layer: &mut impl FnMut(usize, usize, usize, Arc<Vec<SurvivingFamily>>),
) -> OKIResult<usize> {
if n_minorants == 0 {
return Ok(0);
@@ -330,7 +361,7 @@ fn sample_layer(
}
if !survivors.is_empty() {
on_layer(partition, layer_idx, Arc::new(survivors));
on_layer(partition, layer_idx, raw_index, Arc::new(survivors));
}
Ok(kept)
@@ -113,6 +113,14 @@ pub trait SiblingExt {
/// `crate::siblings::CardinalityTally`'s own docs for why that
/// wouldn't make sense: cardinality reflects each genome's own
/// coverage/duplication structure, not the pair's mutual divergence).
/// `session`: `--session`, `None` disables persistence (always
/// resample). `Some` must already be open under these exact selection
/// parameters (the caller's responsibility) — restores a cached tally/
/// alignment when present instead of resampling, and checkpoints a
/// fresh one back as sampling progresses otherwise. Shares its
/// artifact namespace with [`Self::snp_distance`]'s own `session`
/// parameter internally: a tally checkpointed by one is restorable by
/// the other, given the same session and selection parameters.
fn sankoff_bundle(
&self,
n: usize,
@@ -121,6 +129,7 @@ pub trait SiblingExt {
excluded: &[bool],
entropy_bias: Option<EntropyBias>,
ratio_ceiling: f64,
session: Option<&obiksession::Session>,
) -> OKIResult<SankoffBundle>;
/// A `snp-*` `--distance` matrix — one of the closed-form corrections
@@ -330,8 +339,9 @@ impl SiblingExt for IndexCache {
excluded: &[bool],
entropy_bias: Option<EntropyBias>,
ratio_ceiling: f64,
session: Option<&obiksession::Session>,
) -> OKIResult<SankoffBundle> {
sankoff_bundle(self, n, free_loss, no_ambiguity, excluded, entropy_bias, ratio_ceiling)
sankoff_bundle(self, n, free_loss, no_ambiguity, excluded, entropy_bias, ratio_ceiling, session)
}
fn snp_distance(