perf: audit EmbeddingGemma 2 and reuse measured query embeddings
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This commit is contained in:
karl committed 2026-10-12 20:59:10 +02:00
1 parent 9870df7cb5
commit 8b9b079469
21 files changed
+4119 -129

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+82 -18
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@@ -13,10 +13,14 @@ pub use searchi_core::{SearchMetrics, SearchOptions, SearchResponse, SearchResul
pub use searchi_semantic::WorkerInfo;
use searchi_semantic::{GemmaEmbedder, TextWindow, GEMMA_DIMENSIONS, GEMMA_FINGERPRINT};
use serde::Serialize;
use std::{collections::HashMap, path::Path};
use std::{
collections::{HashMap, VecDeque},
path::Path,
};
use store::{Store, MAX_SCAN_CHUNKS};
const MAX_BATCH: usize = 8;
const QUERY_CACHE_ENTRIES: usize = 32;
const BYTE_SLICE: usize = 64 * 1024;
const BYTE_OVERLAP: usize = 512;
const MAX_PASSAGE_WINDOWS: usize = 2048;
@@ -135,6 +139,10 @@ pub struct HybridSearch {
embedder: Box<dyn EmbeddingProvider>,
store: Store,
generation_fingerprint: String,
// Real provider outputs only, scoped to this model session. Queries never
// persist and results/filters are never cached here.
query_cache_fingerprint: String,
query_cache: VecDeque<(String, Vec<f32>)>,
}
impl HybridSearch {
@@ -237,6 +245,8 @@ impl HybridSearch {
_ => expected,
};
Ok(Self {
query_cache_fingerprint: embedder.fingerprint().to_owned(),
query_cache: VecDeque::new(),
lexical,
embedder,
store,
@@ -386,22 +396,7 @@ impl HybridSearch {
trace.timed("hybrid.identifier_priority", parent, |_, _| {
promote_identifiers(query.trim(), &mut lexical)
});
let embedding_span = trace.begin("semantic.query_embedding", parent);
let vector = if trace.is_debug() {
self.embedder.embed_query_debug(query.trim())
} else {
self.embedder.embed_query(query.trim())
};
trace.counter(embedding_span, "failed", u64::from(vector.is_err()));
trace.end(
embedding_span,
if trace.is_debug() {
self.embedder.query_diagnostics()
} else {
Default::default()
},
);
let vector = vector?;
let vector = self.query_vector(query, trace, parent)?;
let semantic =
self.routed_semantic_traced(query, &vector, candidates, options, trace, parent)?;
let results = trace.timed("hybrid.rank_fusion", parent, |trace, span| {
@@ -423,9 +418,78 @@ impl HybridSearch {
if query.trim().is_empty() || limit == 0 {
return Ok(Vec::new());
}
let vector = self.embedder.embed_query(query.trim())?;
let mut trace = TraceCollector::new(MetricsMode::Basic);
let vector = self.query_vector(query, &mut trace, None)?;
self.routed_semantic(query, &vector, limit.min(1000), options)
}
fn query_vector(
&mut self,
query: &str,
trace: &mut TraceCollector,
parent: Option<SpanToken>,
) -> Result<Vec<f32>> {
let query = query.trim();
ensure!(
!query.is_empty() && query.len() <= 4096,
"Query must be nonempty and at most 4096 UTF-8 bytes"
);
let span = trace.begin("semantic.query_embedding", parent);
if self.query_cache_fingerprint != self.embedder.fingerprint() {
self.query_cache.clear();
self.query_cache_fingerprint = self.embedder.fingerprint().to_owned();
}
if let Some(position) = self
.query_cache
.iter()
.position(|(cached, _)| cached == query)
{
let entry = self
.query_cache
.remove(position)
.expect("Located cache entry");
let vector = entry.1.clone();
self.query_cache.push_back(entry);
trace.counter(span, "query_cache_hit", 1);
trace.counter(span, "query_cache_miss", 0);
trace.counter(span, "failed", 0);
// No worker was called: never attach its previous diagnostics.
trace.end(span, Default::default());
return Ok(vector);
}
trace.counter(span, "query_cache_hit", 0);
trace.counter(span, "query_cache_miss", 1);
let vector = (|| {
let vector = if trace.is_debug() {
self.embedder.embed_query_debug(query)?
} else {
self.embedder.embed_query(query)?
};
ensure!(
vector.len() == self.embedder.dimensions()
&& vector.iter().all(|value| value.is_finite())
&& vector.iter().any(|value| *value != 0.0),
"Provider returned an invalid query vector"
);
Ok(vector)
})();
trace.counter(span, "failed", u64::from(vector.is_err()));
trace.end(
span,
if trace.is_debug() {
self.embedder.query_diagnostics()
} else {
Default::default()
},
);
let vector = vector?;
if self.query_cache.len() == QUERY_CACHE_ENTRIES {
self.query_cache.pop_front();
}
self.query_cache
.push_back((query.to_owned(), vector.clone()));
Ok(vector)
}
}
fn bounded_title(title: &str) -> &str {
+208
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@@ -0,0 +1,208 @@
//! Cache-control tests count provider calls; they do not measure model relevance.
//! Production still loads Google and root runs separate real CPU benchmarks.
use anyhow::Result;
use searchi_core::{SearchIndex, SearchOptions};
use searchi_semantic::TextWindow;
use searchi_service::{EmbeddingProvider, HybridSearch};
use std::{
collections::BTreeMap,
sync::{
atomic::{AtomicBool, Ordering},
Arc, Mutex,
},
};
#[derive(Default)]
struct Calls {
queries: Mutex<Vec<String>>,
fail: AtomicBool,
invalid: AtomicBool,
new_fingerprint: AtomicBool,
}
struct CountingProvider(Arc<Calls>);
impl EmbeddingProvider for CountingProvider {
fn fingerprint(&self) -> &str {
if self.0.new_fingerprint.load(Ordering::Relaxed) {
"cache-control-v2"
} else {
"cache-control-v1"
}
}
fn dimensions(&self) -> usize {
768
}
fn split_windows(&mut self, _: &str, _: &str) -> Result<Vec<TextWindow>> {
anyhow::bail!("Not used by cache-control tests")
}
fn embed_documents(&mut self, _: &[&str], _: &str) -> Result<Vec<Vec<f32>>> {
anyhow::bail!("Not used by cache-control tests")
}
fn embed_query(&mut self, query: &str) -> Result<Vec<f32>> {
self.0.queries.lock().unwrap().push(query.into());
if self.0.fail.load(Ordering::Relaxed) {
anyhow::bail!("Injected provider failure");
}
let mut vector = vec![0.0; 768];
if !self.0.invalid.load(Ordering::Relaxed) {
vector[0] = 1.0;
}
Ok(vector)
}
fn query_diagnostics(&self) -> BTreeMap<String, u64> {
BTreeMap::from([("worker_inference_us".into(), 123)])
}
}
fn fixture() -> Result<(tempfile::TempDir, HybridSearch, Arc<Calls>)> {
let directory = tempfile::tempdir()?;
let database = directory.path().join("index.db");
let calls = Arc::new(Calls::default());
let service = HybridSearch::with_provider(database, Box::new(CountingProvider(calls.clone())))?;
Ok((directory, service, calls))
}
fn count(calls: &Calls) -> usize {
calls.queries.lock().unwrap().len()
}
#[test]
fn exact_trimmed_queries_reuse_vectors_but_case_and_model_fingerprint_do_not() -> Result<()> {
let (_directory, mut service, calls) = fixture()?;
let options = SearchOptions::default();
service.search(" supplier ", 5, &options)?;
service.search("supplier", 5, &options)?;
assert_eq!(*calls.queries.lock().unwrap(), vec!["supplier"]);
service.search("Supplier", 5, &options)?;
assert_eq!(count(&calls), 2);
calls.new_fingerprint.store(true, Ordering::Relaxed);
service.search("supplier", 5, &options)?;
assert_eq!(count(&calls), 3);
Ok(())
}
#[test]
fn filters_and_changed_index_are_recomputed_even_when_vector_is_reused() -> Result<()> {
let (directory, mut service, calls) = fixture()?;
std::fs::write(directory.path().join("first.txt"), "supplier notice")?;
std::fs::write(directory.path().join("second.md"), "supplier notice")?;
let mut index = SearchIndex::open(directory.path().join("index.db"))?;
index.index_folder(directory.path())?;
let txt = SearchOptions {
extension: Some("txt".into()),
..Default::default()
};
let md = SearchOptions {
extension: Some("md".into()),
..Default::default()
};
assert_eq!(
service.search("supplier", 5, &txt)?[0].filename,
"first.txt"
);
assert_eq!(service.search("supplier", 5, &md)?[0].filename, "second.md");
assert_eq!(count(&calls), 1);
std::fs::remove_file(directory.path().join("first.txt"))?;
index.index_folder(directory.path())?;
assert!(service.search("supplier", 5, &txt)?.is_empty());
assert_eq!(count(&calls), 1);
Ok(())
}
#[test]
fn cache_hit_trace_never_replays_prior_worker_diagnostics() -> Result<()> {
let (_directory, mut service, _calls) = fixture()?;
let miss = service.search_measured("supplier", 5, &SearchOptions::default(), true)?;
let hit = service.search_measured("supplier", 5, &SearchOptions::default(), true)?;
let miss = miss
.metrics
.trace
.unwrap()
.into_iter()
.find(|span| span.name == "semantic.query_embedding")
.unwrap();
let hit = hit
.metrics
.trace
.unwrap()
.into_iter()
.find(|span| span.name == "semantic.query_embedding")
.unwrap();
assert_eq!(miss.counters["query_cache_miss"], 1);
assert_eq!(miss.counters["worker_inference_us"], 123);
assert_eq!(hit.counters["query_cache_hit"], 1);
assert_eq!(hit.counters["query_cache_miss"], 0);
assert!(!hit.counters.contains_key("worker_inference_us"));
assert_eq!(hit.counters["failed"], 0);
Ok(())
}
#[test]
fn failures_and_invalid_vectors_are_not_cached() -> Result<()> {
let (_directory, mut service, calls) = fixture()?;
assert!(service
.search_semantic(&"界".repeat(2000), 5, &SearchOptions::default())
.is_err());
assert_eq!(
count(&calls),
0,
"Oversized query must not reach the provider or cache"
);
calls.fail.store(true, Ordering::Relaxed);
for _ in 0..2 {
assert!(service
.search("supplier", 5, &SearchOptions::default())
.is_err());
}
calls.fail.store(false, Ordering::Relaxed);
calls.invalid.store(true, Ordering::Relaxed);
for _ in 0..2 {
assert!(service
.search("supplier", 5, &SearchOptions::default())
.is_err());
}
calls.invalid.store(false, Ordering::Relaxed);
service.search("supplier", 5, &SearchOptions::default())?;
service.search("supplier", 5, &SearchOptions::default())?;
assert_eq!(count(&calls), 5);
Ok(())
}
#[test]
fn cache_evicts_least_recently_used_query_at_32_entries() -> Result<()> {
let (_directory, mut service, calls) = fixture()?;
for number in 0..32 {
service.search(&format!("query{number}"), 5, &SearchOptions::default())?;
}
service.search("query0", 5, &SearchOptions::default())?;
service.search("query32", 5, &SearchOptions::default())?;
service.search("query0", 5, &SearchOptions::default())?;
assert_eq!(count(&calls), 33);
service.search("query1", 5, &SearchOptions::default())?;
assert_eq!(count(&calls), 34);
Ok(())
}
#[test]
fn warmup_bypasses_cache_and_never_seeds_an_unseen_measured_query() -> Result<()> {
let (_directory, mut service, calls) = fixture()?;
service.warmup()?;
assert_eq!(count(&calls), 1);
let first = service.search_measured(
"warm up local file search",
5,
&SearchOptions::default(),
true,
)?;
assert_eq!(count(&calls), 2);
let span = first
.metrics
.trace
.unwrap()
.into_iter()
.find(|span| span.name == "semantic.query_embedding")
.unwrap();
assert_eq!(span.counters["query_cache_miss"], 1);
service.warmup()?;
assert_eq!(count(&calls), 3);
service.search("warm up local file search", 5, &SearchOptions::default())?;
assert_eq!(count(&calls), 3);
Ok(())
}