mikemccand commented on PR #14178:
URL: https://github.com/apache/lucene/pull/14178#issuecomment-2844751984
I was able to test this PR, yay!
I first installed `faiss-cpu` via the Anaconda `pytorch` channel into my dev
box, then applied the patch diff from this PR, then tweaked luceneutil with
this hackity patch:
```
diff --git a/src/main/knn/KnnGraphTester.java
b/src/main/knn/KnnGraphTester.java
index 327b826c..441e80bb 100644
--- a/src/main/knn/KnnGraphTester.java
+++ b/src/main/knn/KnnGraphTester.java
@@ -46,6 +46,9 @@ import java.util.concurrent.ForkJoinPool;
import java.util.concurrent.TimeUnit;
import java.util.function.BinaryOperator;
+// nocommit
+import org.apache.lucene.sandbox.codecs.faiss.FaissKnnVectorsFormat;
+
import org.apache.lucene.codecs.Codec;
import org.apache.lucene.codecs.KnnVectorsFormat;
import org.apache.lucene.codecs.KnnVectorsReader;
@@ -531,6 +534,9 @@ public class KnnGraphTester {
}
}
+ private void computeIndexStatistics(Path indexPath) throws IOException {
+ }
+
private void printIndexStatistics(Path indexPath) throws IOException {
try (Directory dir = FSDirectory.open(indexPath);
IndexReader reader = DirectoryReader.open(dir)) {
@@ -711,14 +717,12 @@ public class KnnGraphTester {
HnswGraph knnValues;
if (vectorsReader instanceof Lucene99HnswVectorsReader
hnswVectorsReader) {
knnValues = hnswVectorsReader.getGraph(KNN_FIELD);
- } else {
- throw new IllegalStateException("unsupported vectors reader: " +
vectorsReader);
- }
- log("Leaf %d has %d layers\n", context.ord, knnValues.numLevels());
- log("Leaf %d has %d documents\n", context.ord, leafReader.maxDoc());
- printGraphFanout(knnValues, leafReader.maxDoc());
- printGraphConnectedNess(knnValues);
+ log("Leaf %d has %d layers\n", context.ord,
knnValues.numLevels());
+ log("Leaf %d has %d documents\n", context.ord,
leafReader.maxDoc());
+ printGraphFanout(knnValues, leafReader.maxDoc());
+ printGraphConnectedNess(knnValues);
+ }
}
}
}
@@ -1260,6 +1264,8 @@ public class KnnGraphTester {
return new Lucene103Codec() {
@Override
public KnnVectorsFormat getKnnVectorsFormatForField(String field) {
+ // nocommit
+ /*
if (quantize) {
if (quantizeBits == 1) {
return switch (indexType) {
@@ -1272,12 +1278,16 @@ public class KnnGraphTester {
} else {
return new Lucene99HnswVectorsFormat(maxConn, beamWidth,
numMergeWorker, null);
}
+ */
+ return new FaissKnnVectorsFormat("IDMap,HNSW32",
"efConstruction=200,efSearch=150");
}
};
} else {
return new Lucene103Codec() {
@Override
public KnnVectorsFormat getKnnVectorsFormatForField(String field) {
+ // nocommit
+ /*
if (quantize) {
if (quantizeBits == 1) {
return switch (indexType) {
@@ -1290,6 +1300,8 @@ public class KnnGraphTester {
} else {
return new Lucene99HnswVectorsFormat(maxConn, beamWidth,
numMergeWorker, exec);
}
+ */
+ return new FaissKnnVectorsFormat("IDMap,HNSW32",
"efConstruction=200,efSearch=150");
}
};
}
diff --git a/src/python/benchUtil.py b/src/python/benchUtil.py
index 45949cde..e105cbf7 100644
--- a/src/python/benchUtil.py
+++ b/src/python/benchUtil.py
@@ -1699,6 +1699,10 @@ def getAntClassPath(checkout):
raise RuntimeError("can't find core JAR file in %s" %
("%s/lucene/build/core" % path))
cp.append(core_jar_file)
+
+ # nocommit -- for Faiss Codec wrapper
+ cp.append('/home/mike/miniforge3/lib'
+ )
cp.append("%s/lucene/build/sandbox/classes/java" % path)
cp.append("%s/lucene/build/misc/classes/java" % path)
cp.append("%s/lucene/build/facet/classes/java" % path)
diff --git a/src/python/knnPerfTest.py b/src/python/knnPerfTest.py
index 1e971aee..03d17125 100644
--- a/src/python/knnPerfTest.py
+++ b/src/python/knnPerfTest.py
@@ -82,7 +82,7 @@ PARAMS = {
"quantizeCompress": (True,),
# "indexType": ("flat", "hnsw"), # index type, only works with singlt bit
"queryStartIndex": (0,), # seek to this start vector before searching,
to sample different vectors
- # "forceMerge": (True, False),
+ #"forceMerge": (True,),
#'niter': (10,),
}
@@ -132,6 +132,10 @@ def run_knn_benchmark(checkout, values):
jfr_output = f"{constants.LOGS_DIR}/knn-perf-test.jfr"
cp = benchUtil.classPathToString(benchUtil.getClassPath(checkout) +
(f"{constants.BENCH_BASE_DIR}/build",))
+
+ # nocommit -- must use JAR so SPI can find the codec:
+ cp =
'/l/faiss/lucene/sandbox/build/libs/lucene-sandbox-11.0.0-SNAPSHOT.jar:' + cp
+
cmd = constants.JAVA_EXE.split(" ") + [
"-cp",
cp,
@@ -143,6 +147,9 @@ def run_knn_benchmark(checkout, values):
"-XX:+DebugNonSafepoints",
]
+ # nocommit
+
cmd.append('-Djava.library.path=/home/mike/miniforge3/envs/faiss_lucene_codec/lib:/home/mike/miniforge3/lib/:/usr/java/packages/lib:/usr/lib64:/lib64:/lib:/usr/lib')
+
if DO_PROFILING:
cmd +=
[f"-XX:StartFlightRecording=dumponexit=true,maxsize=250M,settings={constants.BENCH_BASE_DIR}/src/python/profiling.jfc"
+ f",filename={jfr_output}"]
@@ -194,7 +201,7 @@ def run_knn_benchmark(checkout, values):
str(dim),
"-docs",
doc_vectors,
- "-reindex",
+ #"-reindex",
"-search-and-stats",
query_vectors,
"-numIndexThreads",
```
And then I was able to do a quick smoke test with Faiss, yay!
With single-segment index (this is `Cohere/wikipedia-22-12-en-embeddings`
768 dim vectors):
```
Results:
recall latency(ms) nDoc topK fanout maxConn beamWidth quantized
index(s) index_docs/s force_merge(s) num_segments index_size(MB)
vec_disk(MB) vec_RAM(MB) indexType
0.887 0.849 500000 100 50 64 250 no
265.79 1881.21 150.02 1 3065.21
1464.844 1464.844 HNSW
```
and multi (11) segment index:
```
Results:
recall latency(ms) nDoc topK fanout maxConn beamWidth quantized
index(s) index_docs/s num_segments index_size(MB) vec_disk(MB) vec_RAM(MB)
indexType
0.970 6.506 500000 100 50 64 250 no
231.42 2160.54 11 3065.23 1464.844 1464.844
HNSW
```
This is with `new FaissKnnVectorsFormat("IDMap,HNSW32",
"efConstruction=200,efSearch=150");` -- meaning (translating to Lucene HNSW
world) I think: `maxConn=32`, `beamWidth=200`, `topK+fanout=150`, so,
`topK=100` and `fanout=50`.
It's also curious how much slower the 11 segment case is (6.5 vs .9 msec) --
maybe the search is not concurrent across segments?
Also, it's annoying that recall always gets better with multiple segments
(same is true of Lucene HNSW I think?) -- this is a leaky abstraction. Ideally
change to underlying segment geometry should not have such a big impact on the
returned hits.
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