Performance Optimizations
Status: Current Last updated: 2026-05-01 17:07 EDT
Performance-critical patterns shipped in talkbank-tools and the
batchalign runtime. Each entry describes what runs in production and
where, not the alternatives that were rejected.
Word::cleaned_text() — OnceLock<SmolStr> Cache
Word carries a lazy cache (CachedStr) wrapping
OnceLock<SmolStr>. The first call to cleaned_text() iterates the
word’s content (concatenating Text and Shortening variants) and
stores the result; subsequent calls return &str from the cache.
Most CHAT words fit in SmolStr’s inline buffer (≤ 23 bytes), so
the common case has zero heap allocation. Without the cache,
cleaned_text() was the single largest allocation hotspot —
called 2–4× per word during validation and alignment, across
millions of words.
The CachedStr newtype:
- Has a custom
PartialEqthat always returnstrue, so the cache field never affects equality checks or test assertions. - Carries
serde(skip),schemars(skip),semantic_eq(skip),span_shift(skip)attributes — excluded from serialization, JSON schema, semantic equality, and span-shift derive macros.
Return type is &str (not String); callers that need an owned
copy add .to_string() explicitly.
crates/talkbank-model/src/model/content/word/types.rs.
ValidationContext — Arc<SharedValidationData> Split
ValidationContext is split into:
- Seven file-level-constant fields wrapped in
Arc<SharedValidationData>:participant_ids,default_language,declared_languages,ca_mode,enable_quotation_validation,bullets_mode,config. - Five per-tier mutable overlay fields kept inline:
tier_language,field_span,field_text,field_label,field_error_code.
Cloning a ValidationContext now copies the Arc pointer (8
bytes) + 5 small overlay fields, instead of deep-cloning a
HashSet, two Vecs, and a ValidationConfig. The struct is
cloned 3+ times per utterance (main / word / dependent tiers) and
again per word.
Builder methods use Arc::make_mut() for shared fields
(copy-on-write if the Arc is shared, no-op if unique). The
builder API is unchanged; the Arc only matters once construction
is complete.
crates/talkbank-model/src/validation/context.rs plus the
validators that read shared fields (context.shared.participant_ids,
not context.participant_ids).
LSP DashMap<Url, Arc<ChatFile>>
LSP request handlers (hover, completion, symbols, folding, inlay
hints, formatting — ~10 handlers) get Arc::clone() of the
ChatFile rather than holding a DashMap shard guard. The shard
lock is released immediately after the pointer copy.
The mutation path (validation orchestrator) needs an owned
ChatFile for alignment computation. It extracts the old file via
ChatFile::clone(entry.value()) — a deep clone — but this only
happens on file change (debounced), not on every request. After
mutation, the new ChatFile is wrapped in Arc::new() and
inserted atomically.
crates/chatter-lsp/src/backend/state.rs,
requests.rs, validation_orchestrator.rs.
Reusable TreeSitterParser
TreeSitterParser is expensive to create (~1 ms for tree-sitter
init). Callers create one instance and pass &TreeSitterParser
through every operation. For batch workflows,
parse_and_validate_with_parser() accepts &TreeSitterParser to
avoid per-call construction overhead.
SQLite Pragmas (Validation Cache)
The validation cache opens connections with:
synchronous = NORMAL
cache_size = -8000 (8 MB)
busy_timeout = 5000
mmap_size = 268435456 (256 MB)
Combined ~2–3× write-throughput improvement with no durability risk — WAL mode is already crash-safe.
Per-Thread SQLite Connections
CachePool uses thread_local::ThreadLocal<CacheConnection> for
its SQLite handles. Each worker thread lazily opens its own
connection. WAL mode handles concurrency natively — concurrent
readers, serialized writers with busy_timeout retry. No Mutex
anywhere; cache hits are contention-free.
Pass/Fail-Only Cache Schema
The validation cache stores a single boolean per file (valid /
invalid). The legacy schema’s errors table (10+ columns per
error including miette-rendered diagnostics) and corpora table
are gone. Cache writes no longer serialize ParseError payloads;
DB size on a 95k-file corpus dropped from ~100 MB to ~2 MB.
Release Profile
Both Rust workspaces (talkbank-tools, tb) compile release
binaries with:
[profile.release]
lto = true # Fat LTO — whole-program optimization
codegen-units = 1 # Best cross-crate inlining
strip = true # Strip symbols from deployed binaries
Net ~15% throughput improvement for CLI validation. Deploy scripts
use --release so these settings apply to fleet binaries
automatically; dev builds are unaffected.
LSP LineIndex
offset_to_position is O(log n) via a pre-computed line-offset
index and binary search, replacing the original O(n) scan. This
eliminates O(n²) behavior for semantic tokens on large files.
LSP did_save Skip
LSP skips re-validation on save if the document hasn’t changed
since the last debounced did_change validation.
Audit-Mode Parallelization
run_audit_mode() uses crossbeam worker threads with a bounded
work-stealing channel, matching the regular validation path.
Workers report completed file results to a dedicated audit-writer
thread, which writes JSONL results to disk immediately and owns
the summary counters. No worker contends on a shared
Mutex<BufWriter<File>>.
Roundtrip — Parse-Only
run_roundtrip() re-parses the serialized output with
ParseValidateOptions::default() (parse only, no validation).
Roundtrip checks serialization fidelity, not content validity —
the caller already ensures validation passed before invoking
roundtrip.
Prefix/Suffix Stripping in DP Alignment
The Hirschberg align() strips matching prefixes and suffixes in
O(n) before entering the O(mn) DP core. For WER and transcript
comparison (typically 80–95% accuracy), this reduces effective DP
problem size 10–100×. Only the differing middle portion enters
recursion. See Dynamic Programming.
Lazy Worker Bootstrap (Batchalign)
The Batchalign daemon binds the TCP port immediately, with /health
available, but no Python process runs until the first job
arrives. The daemon starts in < 1 second and uses zero memory at
idle. Memory guards only fire when actual work is requested. See
Batchalign Workers — Memory Check Flow.