From 156246c3486f2468fbf8b0ff268a4e554afc7ce8 Mon Sep 17 00:00:00 2001 From: Alex Klibisz <8015228+alexklibisz@users.noreply.github.com> Date: Sat, 23 Mar 2024 09:28:46 -0700 Subject: [PATCH 01/11] Plugin: optimize decoder array buffers --- .../elastiknn/api/FloatArrayBuffer.java | 44 +++++++++++++++++++ .../klibisz/elastiknn/api/IntArrayBuffer.java | 44 +++++++++++++++++++ .../klibisz/elastiknn/api/XContentCodec.scala | 17 ++++--- 3 files changed, 96 insertions(+), 9 deletions(-) create mode 100644 elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java create mode 100644 elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/IntArrayBuffer.java diff --git a/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java new file mode 100644 index 000000000..c166c1137 --- /dev/null +++ b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java @@ -0,0 +1,44 @@ +package com.klibisz.elastiknn.api; + +import java.util.Arrays; + +public class FloatArrayBuffer { + + // Track the last final capacity to exploit the fact that the current + // vector length is probably the same as the last vector length. + // Using a non-atomic because race conditions are unlikely to hurt. + private static final int minInitialCapacity = 4; + private static final int maxInitialCapacity = 4096; + private static int nextInitialCapacity = minInitialCapacity; + + private float[] array; + + private int index = 0; + + public FloatArrayBuffer() { + this.array = new float[nextInitialCapacity]; + } + + public void append(float f) { + // TODO: Test whether try/catch is faster than if. +// try { +// this.array[index++] = f; +// } catch (IndexOutOfBoundsException ex) { +// this.array = Arrays.copyOf(this.array, this.array.length * 2); +// this.array[index - 1] = f; +// } + if (index == this.array.length) { + this.array = Arrays.copyOf(this.array, this.array.length * 2); + } + this.array[index++] = f; + } + + public float[] toArray() { + nextInitialCapacity = Math.min(maxInitialCapacity, Math.max(minInitialCapacity, index)); + if (this.array.length == index) { + return this.array; + } else { + return Arrays.copyOf(this.array, index); + } + } +} diff --git a/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/IntArrayBuffer.java b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/IntArrayBuffer.java new file mode 100644 index 000000000..9f0644233 --- /dev/null +++ b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/IntArrayBuffer.java @@ -0,0 +1,44 @@ +package com.klibisz.elastiknn.api; + +import java.util.Arrays; + +public class IntArrayBuffer { + + // Track the last final capacity to exploit the fact that the current + // vector length is probably the same as the last vector length. + // Using a non-atomic because race conditions are unlikely to hurt. + private static final int minInitialCapacity = 4; + private static final int maxInitialCapacity = 4096; + private static int nextInitialCapacity = minInitialCapacity; + + private int[] array; + + private int index = 0; + + public IntArrayBuffer() { + this.array = new int[nextInitialCapacity]; + } + + public void append(int i) { + // TODO: Test whether try/catch is faster than if. +// try { +// this.array[index++] = i; +// } catch (IndexOutOfBoundsException ex) { +// this.array = Arrays.copyOf(this.array, this.array.length * 2); +// this.array[index - 1] = i; +// } + if (index == this.array.length) { + this.array = Arrays.copyOf(this.array, this.array.length * 2); + } + this.array[index++] = i; + } + + public int[] toArray() { + nextInitialCapacity = Math.min(maxInitialCapacity, Math.max(minInitialCapacity, index)); + if (this.array.length == index) { + return this.array; + } else { + return Arrays.copyOf(this.array, index); + } + } +} \ No newline at end of file diff --git a/elastiknn-api4s/src/main/scala/com/klibisz/elastiknn/api/XContentCodec.scala b/elastiknn-api4s/src/main/scala/com/klibisz/elastiknn/api/XContentCodec.scala index 500d77fef..64e5fe2dd 100644 --- a/elastiknn-api4s/src/main/scala/com/klibisz/elastiknn/api/XContentCodec.scala +++ b/elastiknn-api4s/src/main/scala/com/klibisz/elastiknn/api/XContentCodec.scala @@ -7,7 +7,6 @@ import org.elasticsearch.xcontent._ import java.io.ByteArrayOutputStream import scala.collection.immutable.SortedSet -import scala.collection.mutable.ArrayBuffer /** JSON codec for Elastiknn API types, implemented using the Elasticsearch XContentBuilder and XContentParser. */ @@ -397,8 +396,8 @@ object XContentCodec { private def assertValue(name: String, text: String, expected: SortedSet[String]): Unit = if (expected.contains(text)) () else throw new XContentParseException(unexpectedValue(name, text, expected)) - private def parseFloatArray(p: XContentParser, expectedLength: Int): Array[Float] = { - val b = new ArrayBuffer[Float](expectedLength) + private def parseFloatArray(p: XContentParser): Array[Float] = { + val b = new FloatArrayBuffer() p.currentToken() match { case START_ARRAY => () case VALUE_NUMBER => b.append(p.floatValue()) @@ -411,8 +410,8 @@ object XContentCodec { b.toArray } - private def parseSparseBoolArray(p: XContentParser, expectedLength: Int): Array[Int] = { - val b = new ArrayBuffer[Int](expectedLength) + private def parseSparseBoolArray(p: XContentParser): Array[Int] = { + val b = new IntArrayBuffer() p.currentToken() match { case START_ARRAY => () case VALUE_NUMBER => b.append(p.intValue()) @@ -469,13 +468,13 @@ object XContentCodec { index = Some(p.text()) case n @ Names.TRUE_INDICES => assertToken(n, p.nextToken(), START_ARRAY) - trueIndices = Some(parseSparseBoolArray(p, 42)) + trueIndices = Some(parseSparseBoolArray(p)) case n @ Names.TOTAL_INDICES => assertToken(n, p.nextToken(), VALUE_NUMBER) totalIndices = Some(p.intValue()) case n @ Names.VALUES => assertToken(n, p.nextToken(), START_ARRAY) - values = Some(parseFloatArray(p, 42)) + values = Some(parseFloatArray(p)) case _ => p.nextToken() } } @@ -485,9 +484,9 @@ object XContentCodec { case END_ARRAY => values = Some(Array.empty) case VALUE_NUMBER => - values = Some(parseFloatArray(p, 42)) + values = Some(parseFloatArray(p)) case START_ARRAY => - trueIndices = Some(parseSparseBoolArray(p, 42)) + trueIndices = Some(parseSparseBoolArray(p)) assertToken(p.nextToken(), VALUE_NUMBER) totalIndices = Some(p.intValue()) case t => From 5aa320bd85704988f6da287fd4e6dd7a4cd9e001 Mon Sep 17 00:00:00 2001 From: Ubuntu Date: Sat, 23 Mar 2024 17:51:16 +0000 Subject: [PATCH 02/11] Benchmark results --- docs/pages/performance/fashion-mnist/plot.b64 | 2 +- docs/pages/performance/fashion-mnist/plot.png | Bin 44523 -> 46075 bytes .../performance/fashion-mnist/results.md | 16 ++++++++-------- 3 files changed, 9 insertions(+), 9 deletions(-) diff --git a/docs/pages/performance/fashion-mnist/plot.b64 b/docs/pages/performance/fashion-mnist/plot.b64 index 2c946b063..ea7eb1549 100644 --- a/docs/pages/performance/fashion-mnist/plot.b64 +++ b/docs/pages/performance/fashion-mnist/plot.b64 @@ -1 +1 @@ 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zi|?b8I+Oyv2$wDSc=otpAIN1%*oN+N}( zA6h%6v$R~N8q`4`6^{F-L_UAM=Rm0KMUqN`0DLb}dYEn99UL4wCZh$}WVUc?J%i>D z!!Jop?)(ASvMP+UAGL7NW30BVEd*&0(Rq2!ykc|A=9f6sInIo_0?qO5bs-F?E48qmoLC1IbhUtS<8S- z(t*$OX9`BE$TN}@+8T$#iBK+$m+Ug>Bqd3-b54%r_!7u6SG-mtwYouyj?P?!FeKzS z!X+s4Px6q+_9hF9*eWtdyRH_m5Qek%gq0jv#KnV9q%e7}i=axOY9Z;x>~zJqi=e*k z#vzYaZ4mkcg;X_c0b0I5lX)RNYf%IEGjv3@bTgkh)yXDyFGZ$!a8QgI-T%KoE=&Gq XQRZ=D Date: Sat, 23 Mar 2024 18:15:17 +0000 Subject: [PATCH 03/11] Benchmark results --- docs/pages/performance/fashion-mnist/plot.b64 | 2 +- docs/pages/performance/fashion-mnist/plot.png | Bin 46075 -> 46021 bytes .../performance/fashion-mnist/results.md | 16 ++++++++-------- 3 files changed, 9 insertions(+), 9 deletions(-) diff --git a/docs/pages/performance/fashion-mnist/plot.b64 b/docs/pages/performance/fashion-mnist/plot.b64 index ea7eb1549..5a5f3d159 100644 --- a/docs/pages/performance/fashion-mnist/plot.b64 +++ b/docs/pages/performance/fashion-mnist/plot.b64 @@ -1 +1 @@ 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z09qgW?wUv(MrLT4K~{xF0rauYREPvyWsXvpKBo*aMF(!J`a{79$)j`CXI|2m^I%6% zY=iz-4u0uUSg2knDqoy=uy`6|yFYnlH0@^nf9^>2P0g6KR(iLCddWCmmZ7j;d0)() HW0(Ff*_J@Z diff --git a/docs/pages/performance/fashion-mnist/results.md b/docs/pages/performance/fashion-mnist/results.md index 0177bdc0d..5ea5cddff 100644 --- a/docs/pages/performance/fashion-mnist/results.md +++ b/docs/pages/performance/fashion-mnist/results.md @@ -1,10 +1,10 @@ |Model|Parameters|Recall|Queries per Second| |---|---|---|---| -|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=0|0.379|380.255| -|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=0|0.447|315.911| -|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=3|0.635|300.165| -|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=3|0.717|249.832| -|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=0|0.767|321.474| -|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=0|0.847|278.700| -|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=3|0.922|223.717| -|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=3|0.960|198.945| +|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=0|0.378|373.910| +|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=0|0.447|318.251| +|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=3|0.634|299.716| +|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=3|0.716|260.863| +|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=0|0.767|333.027| +|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=0|0.846|285.399| +|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=3|0.921|223.000| +|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=3|0.960|198.442| From fb5e4742216225ad71c6a95e60c934045cbf9125 Mon Sep 17 00:00:00 2001 From: Alex Klibisz <8015228+alexklibisz@users.noreply.github.com> Date: Sat, 23 Mar 2024 11:27:03 -0700 Subject: [PATCH 04/11] Remove usages of scala's Array so we can avoid the extra permissions --- ann-benchmarks/ann-benchmarks | 2 +- .../elastiknn/api/FloatArrayBuffer.java | 2 ++ .../klibisz/elastiknn/VectorMapperUtil.java | 9 ++++++++ .../plugin-metadata/plugin-security.policy | 1 - .../elastiknn/mapper/VectorMapper.scala | 9 +++++--- .../klibisz/elastiknn/query/ExactQuery.scala | 4 ++-- .../elastiknn/query/HashingQuery.scala | 21 +++++++++++++------ 7 files changed, 35 insertions(+), 13 deletions(-) create mode 100644 elastiknn-plugin/src/main/java/com/klibisz/elastiknn/VectorMapperUtil.java diff --git a/ann-benchmarks/ann-benchmarks b/ann-benchmarks/ann-benchmarks index c45bf6b2c..df8083ab9 160000 --- a/ann-benchmarks/ann-benchmarks +++ b/ann-benchmarks/ann-benchmarks @@ -1 +1 @@ -Subproject commit c45bf6b2c917eeb169426088fd6b82840f272e97 +Subproject commit df8083ab96464faa5ddda76da9667069ec5825b6 diff --git a/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java index c166c1137..274e84178 100644 --- a/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java +++ b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java @@ -16,6 +16,7 @@ public class FloatArrayBuffer { private int index = 0; public FloatArrayBuffer() { +// System.out.printf("Starting at %d\n", nextInitialCapacity); this.array = new float[nextInitialCapacity]; } @@ -28,6 +29,7 @@ public void append(float f) { // this.array[index - 1] = f; // } if (index == this.array.length) { +// System.out.printf("Growing from %d to %d\n", this.array.length, this.array.length * 2); this.array = Arrays.copyOf(this.array, this.array.length * 2); } this.array[index++] = f; diff --git a/elastiknn-plugin/src/main/java/com/klibisz/elastiknn/VectorMapperUtil.java b/elastiknn-plugin/src/main/java/com/klibisz/elastiknn/VectorMapperUtil.java new file mode 100644 index 000000000..73ea3e920 --- /dev/null +++ b/elastiknn-plugin/src/main/java/com/klibisz/elastiknn/VectorMapperUtil.java @@ -0,0 +1,9 @@ +package com.klibisz.elastiknn; + +import org.elasticsearch.index.mapper.FieldMapper; + +public class VectorMapperUtil { + + public static FieldMapper.Parameter[] EMPTY_ARRAY_FIELD_MAPPER_PARAMETER = new FieldMapper.Parameter[0]; + +} diff --git a/elastiknn-plugin/src/main/plugin-metadata/plugin-security.policy b/elastiknn-plugin/src/main/plugin-metadata/plugin-security.policy index 1d287d1d9..e89913b9f 100644 --- a/elastiknn-plugin/src/main/plugin-metadata/plugin-security.policy +++ b/elastiknn-plugin/src/main/plugin-metadata/plugin-security.policy @@ -1,3 +1,2 @@ grant { - permission java.lang.RuntimePermission "getClassLoader"; }; diff --git a/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/mapper/VectorMapper.scala b/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/mapper/VectorMapper.scala index fc22f4108..5f65c8eac 100644 --- a/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/mapper/VectorMapper.scala +++ b/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/mapper/VectorMapper.scala @@ -30,7 +30,7 @@ object VectorMapper { else { val sorted = vec.sorted() // Sort for faster intersections on the query side. mapping match { - case Mapping.SparseBool(_) => Try(ExactQuery.index(field, sorted)) + case Mapping.SparseBool(_) => Try(Seq(ExactQuery.index(field, sorted))) case m: Mapping.JaccardLsh => Try(HashingQuery.index(field, luceneFieldType, sorted, modelCache(m).hash(vec.trueIndices, vec.totalIndices))) case m: Mapping.HammingLsh => @@ -51,7 +51,7 @@ object VectorMapper { Failure(ElastiknnException.vectorDimensions(vec.values.length, mapping.dims)) else mapping match { - case Mapping.DenseFloat(_) => Try(ExactQuery.index(field, vec)) + case Mapping.DenseFloat(_) => Try(Seq(ExactQuery.index(field, vec))) case m: Mapping.CosineLsh => Try(HashingQuery.index(field, luceneFieldType, vec, modelCache(m).hash(vec.values))) case m: Mapping.L2Lsh => Try(HashingQuery.index(field, luceneFieldType, vec, modelCache(m).hash(vec.values))) case m: Mapping.PermutationLsh => Try(HashingQuery.index(field, luceneFieldType, vec, modelCache(m).hash(vec.values))) @@ -138,6 +138,9 @@ abstract class VectorMapper[V <: Vec: XContentCodec.Decoder] { self => override def getMergeBuilder: FieldMapper.Builder = new Builder(simpleName(), mapping) } - override def getParameters: Array[FieldMapper.Parameter[_]] = Array.empty + override def getParameters: Array[FieldMapper.Parameter[_]] = + // This has to be defined in Java because scala's Array wrapper uses ClassTag, + // which requires the extra permission: java.lang.RuntimePermission "getClassLoader". + VectorMapperUtil.EMPTY_ARRAY_FIELD_MAPPER_PARAMETER } } diff --git a/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/query/ExactQuery.scala b/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/query/ExactQuery.scala index 70500d979..23b90857c 100644 --- a/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/query/ExactQuery.scala +++ b/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/query/ExactQuery.scala @@ -53,8 +53,8 @@ final class ExactQuery[V <: Vec, S <: StoredVec](field: String, queryVec: V, sim } object ExactQuery { - def index[V <: Vec: StoredVec.Encoder](field: String, vec: V): Seq[IndexableField] = { + def index[V <: Vec: StoredVec.Encoder](field: String, vec: V): IndexableField = { val storedVec = implicitly[StoredVec.Encoder[V]].apply(vec) - Seq(new BinaryDocValuesField(field, new BytesRef(storedVec))) + new BinaryDocValuesField(field, new BytesRef(storedVec)) } } diff --git a/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/query/HashingQuery.scala b/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/query/HashingQuery.scala index be189ab1b..f16919da5 100644 --- a/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/query/HashingQuery.scala +++ b/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/query/HashingQuery.scala @@ -11,6 +11,7 @@ import org.apache.lucene.util.BytesRef import org.elasticsearch.common.lucene.search.function.{CombineFunction, LeafScoreFunction, ScoreFunction} import java.util.Objects +import scala.collection.mutable.ListBuffer final class HashingQuery[V <: Vec, S <: StoredVec: Decoder]( field: String, @@ -52,10 +53,15 @@ final class HashingQuery[V <: Vec, S <: StoredVec: Decoder]( private val reader = ctx.reader() private val terms = reader.terms(field) private val termsEnum = terms.iterator() - private val postings = hashes.sorted.flatMap { h => - if (termsEnum.seekExact(new BytesRef(h.hash))) Some(termsEnum.postings(null, PostingsEnum.NONE)) - else None + private val postings: Seq[PostingsEnum] = { + val buf = new ListBuffer[PostingsEnum]() + hashes.sorted.foreach { h => + if (termsEnum.seekExact(new BytesRef(h.hash))) buf.prepend(termsEnum.postings(null, PostingsEnum.NONE)) + else None + } + buf.toList.reverse } + override def score(docId: Int, subQueryScore: Float): Double = { val intersection = postings.count { p => p.docID() != DocIdSetIterator.NO_MORE_DOCS && p.advance(docId) == docId } simFunc.maxScore * (intersection * 1d / hashes.length) @@ -84,8 +90,11 @@ object HashingQuery { fieldType: FieldType, vec: V, hashes: Array[HashAndFreq] - ): Seq[IndexableField] = ExactQuery.index(field, vec) ++ hashes.flatMap { h => - val f = new Field(field, h.hash, fieldType) - (0 until h.freq).map(_ => f) + ): Seq[IndexableField] = { + val buffer = ListBuffer.empty[IndexableField] + hashes.foreach { h => + (0 until h.freq).foreach(_ => buffer.prepend(new Field(field, h.hash, fieldType))) + } + buffer.prepend(ExactQuery.index(field, vec)).toList } } From eb96ac35f9c7eca4bf493d8b49388c2f86bbf6d6 Mon Sep 17 00:00:00 2001 From: Alex Klibisz <8015228+alexklibisz@users.noreply.github.com> Date: Sat, 23 Mar 2024 11:36:20 -0700 Subject: [PATCH 05/11] Add rounding --- .../klibisz/elastiknn/models/PermutationLshModelSuite.scala | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/elastiknn-plugin/src/test/scala/com/klibisz/elastiknn/models/PermutationLshModelSuite.scala b/elastiknn-plugin/src/test/scala/com/klibisz/elastiknn/models/PermutationLshModelSuite.scala index 43a2f1fb1..c10fe6d2c 100644 --- a/elastiknn-plugin/src/test/scala/com/klibisz/elastiknn/models/PermutationLshModelSuite.scala +++ b/elastiknn-plugin/src/test/scala/com/klibisz/elastiknn/models/PermutationLshModelSuite.scala @@ -15,6 +15,10 @@ import scala.util.Random class PermutationLshModelSuite extends AnyFunSuite with Matchers with LuceneSupport { + // For some unknown reason the exact score values started to slightly differ around March 2024. + def round(f: Float): Float = + BigDecimal(f).setScale(6, BigDecimal.RoundingMode.HALF_UP).floatValue + test("lucene example where counting matters") { // This example demonstrates a tricky condition: 0 appears once in the query vector and three times in corpus vector @@ -62,7 +66,7 @@ class PermutationLshModelSuite extends AnyFunSuite with Matchers with LuceneSupp } { case (r, s) => queryVecs.map { v => val q = new HashingQuery("vec", v, 200, lsh.hash(v.values), cosine) - s.search(q.toLuceneQuery(r), 100).scoreDocs.map(sd => (sd.doc, sd.score)).toVector + s.search(q.toLuceneQuery(r), 100).scoreDocs.map(sd => (sd.doc, round(sd.score))).toVector } } queryResults From c9f63cd41216f519fc5e31aed20697c94dd7790f Mon Sep 17 00:00:00 2001 From: Alex Klibisz <8015228+alexklibisz@users.noreply.github.com> Date: Sat, 23 Mar 2024 11:58:07 -0700 Subject: [PATCH 06/11] submodules --- ann-benchmarks/ann-benchmarks | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ann-benchmarks/ann-benchmarks b/ann-benchmarks/ann-benchmarks index df8083ab9..c45bf6b2c 160000 --- a/ann-benchmarks/ann-benchmarks +++ b/ann-benchmarks/ann-benchmarks @@ -1 +1 @@ -Subproject commit df8083ab96464faa5ddda76da9667069ec5825b6 +Subproject commit c45bf6b2c917eeb169426088fd6b82840f272e97 From e2b4da05887d385d633f6624c1f74bc39b7ce4f0 Mon Sep 17 00:00:00 2001 From: Ubuntu Date: Sat, 23 Mar 2024 19:26:37 +0000 Subject: [PATCH 07/11] benchmarks --- docs/pages/performance/fashion-mnist/plot.b64 | 2 +- docs/pages/performance/fashion-mnist/plot.png | Bin 46150 -> 42715 bytes .../performance/fashion-mnist/results.md | 16 ++++++++-------- 3 files changed, 9 insertions(+), 9 deletions(-) diff --git a/docs/pages/performance/fashion-mnist/plot.b64 b/docs/pages/performance/fashion-mnist/plot.b64 index 370851340..cdd7db0b9 100644 --- a/docs/pages/performance/fashion-mnist/plot.b64 +++ b/docs/pages/performance/fashion-mnist/plot.b64 @@ -1 +1 @@ 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zD~Ff4?_C(51`-3?XR9*?IHS-j{mc}rv~O2r;cZNWkwf{H^RD=5qk1TUvg?gO0DCge ztbO&MpH4>=M`!~Kj$2vFOv~Do!e|{vkwCfKD5jfDS6H(iXjTp$Nn3$_bzNP{%JmG> z`K^+1W)L4Z4*;l`YN~85_GWii*F+I}Y zPiL?J_QH9<0;ixnxuC!Bq>C|K8n&0G8ivjQK*0%e=aJr67mvdu2gY;hw8<0C4f>gCy3647T0k3MapNjY`Xp0H#(3kCST1 zfJa*(ulUkmABJ@C=#zR=nW1}B@I-2@702Ttz~g#Q?~ek<)TD0Wsl8ZOBz6kjm_fY9 z$=v1-I8#xUH!G?s7vg_f@bN$X52OD7_9NLO6mK0N zG{!GC^yimqSUm?krcZ0R|gITqEG+0cA^evIPDEpB$*7*C8_Ug!Hx`5)EYxRVXnf zeO-lW^fL;|m**3;2ny7XfC=R@1E_?081@iF5!a*)+v)>%gK_f9c@YSeI-G%MwPcIs zovOA9)XDeZz?AcXD<}p(4*oaV53g@UgJiG)HgPRn_`u!+FI95sgf2?2k6;@kusIP@ zsUV0jGBWCE@K%aMYMF!sagd1}ea9)M0)LMLiikvk=PiSSL|xqQJAka^y^3VUhU-l| z7HxdhnS`Y(0f7g35{MCT9VlqZl*0%!p--~&v5?ZJxDIs84~WJ1=YIR>tEm@(I41nr zGd0MGZqn5UdIgH=`-uZ<`<~x_^2NaWaP6u09)Z%K;-+C|mn^TK;Op;S)$oTjhe54P!#MN$~* zC5ku)iTxJx5Vnu>sKQukGO6Pb0+UmrbKp<*7@UocQoy-G0Z|>isWb_TKKM7YR&)oW zO4xPa^hqlj|A%a8ck-EEdNeOMoio6d;FCl2MG|Ya%>idfLISDc*00&w!dd-Ba^#i~ zg^5JHAan3 Date: Sat, 23 Mar 2024 12:27:52 -0700 Subject: [PATCH 08/11] Added jmh benchmark for FLoatArrayBuffer --- .../elastiknn/api/FloatArrayBuffer.java | 4 +- .../FloatArrayBufferBenchmarks.scala | 49 +++++++++++++++++++ 2 files changed, 52 insertions(+), 1 deletion(-) create mode 100644 elastiknn-jmh-benchmarks/src/main/scala/com/klibisz/elastiknn/jmhbenchmarks/FloatArrayBufferBenchmarks.scala diff --git a/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java index 274e84178..3e8dec688 100644 --- a/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java +++ b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java @@ -36,7 +36,9 @@ public void append(float f) { } public float[] toArray() { - nextInitialCapacity = Math.min(maxInitialCapacity, Math.max(minInitialCapacity, index)); + if (nextInitialCapacity != index) { + nextInitialCapacity = Math.min(maxInitialCapacity, Math.max(minInitialCapacity, index)); + } if (this.array.length == index) { return this.array; } else { diff --git a/elastiknn-jmh-benchmarks/src/main/scala/com/klibisz/elastiknn/jmhbenchmarks/FloatArrayBufferBenchmarks.scala b/elastiknn-jmh-benchmarks/src/main/scala/com/klibisz/elastiknn/jmhbenchmarks/FloatArrayBufferBenchmarks.scala new file mode 100644 index 000000000..c620c4bfe --- /dev/null +++ b/elastiknn-jmh-benchmarks/src/main/scala/com/klibisz/elastiknn/jmhbenchmarks/FloatArrayBufferBenchmarks.scala @@ -0,0 +1,49 @@ +package com.klibisz.elastiknn.jmhbenchmarks + +import com.klibisz.elastiknn.api.FloatArrayBuffer +import org.openjdk.jmh.annotations._ + +import scala.collection.mutable.ArrayBuffer +import scala.util.Random + +@State(Scope.Benchmark) +class FloatArrayBufferBenchmarksState { + implicit private val rng: Random = new Random(0) + val lst768 = (0 until 768).map(_ => rng.nextFloat()).toList +} + +class FloatArrayBufferBenchmarks { + + @Benchmark + @BenchmarkMode(Array(Mode.Throughput)) + @Fork(value = 1) + @Warmup(time = 5, iterations = 1) + @Measurement(time = 5, iterations = 1) + def scalaAppendFixedInitialSize(state: FloatArrayBufferBenchmarksState): Int = { + val buf = new ArrayBuffer[Float]() + state.lst768.foreach(buf.append) + buf.toArray.length + } + + @Benchmark + @BenchmarkMode(Array(Mode.Throughput)) + @Fork(value = 1) + @Warmup(time = 5, iterations = 1) + @Measurement(time = 5, iterations = 1) + def scalaAppendKnownInitialSize(state: FloatArrayBufferBenchmarksState): Int = { + val buf = new ArrayBuffer[Float](768) + state.lst768.foreach(buf.append) + buf.toArray.length + } + + @Benchmark + @BenchmarkMode(Array(Mode.Throughput)) + @Fork(value = 1) + @Warmup(time = 5, iterations = 1) + @Measurement(time = 5, iterations = 1) + def customAppend(state: FloatArrayBufferBenchmarksState): Int = { + val buf = new FloatArrayBuffer() + state.lst768.foreach(buf.append) + buf.toArray.length + } +} From 12844ed4c00d2f4c16a7dc3881f14d926350a4eb Mon Sep 17 00:00:00 2001 From: Alex Klibisz <8015228+alexklibisz@users.noreply.github.com> Date: Sat, 23 Mar 2024 12:43:41 -0700 Subject: [PATCH 09/11] Switch to try/catch --- .../elastiknn/api/FloatArrayBuffer.java | 21 ++++++++++--------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java index 3e8dec688..6f711047b 100644 --- a/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java +++ b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java @@ -21,18 +21,19 @@ public FloatArrayBuffer() { } public void append(float f) { - // TODO: Test whether try/catch is faster than if. -// try { -// this.array[index++] = f; -// } catch (IndexOutOfBoundsException ex) { -// this.array = Arrays.copyOf(this.array, this.array.length * 2); -// this.array[index - 1] = f; + // if statement gets about 557013.799 ops/s on r6i.4xlarge. +// if (index == this.array.length) { +//// System.out.printf("Growing from %d to %d\n", this.array.length, this.array.length * 2); +// this.array = Arrays.copyOf(this.array, this.array.length * 2); // } - if (index == this.array.length) { -// System.out.printf("Growing from %d to %d\n", this.array.length, this.array.length * 2); - this.array = Arrays.copyOf(this.array, this.array.length * 2); +// this.array[index++] = f; + // try/catch gets ... + try { + this.array[index++] = f; + } catch (IndexOutOfBoundsException ex) { + this.array = Arrays.copyOf(this.array, this.array.length * 2); + this.array[index - 1] = f; } - this.array[index++] = f; } public float[] toArray() { From 734614f5c7c5d15d0c83052b1cc06fc219ab96d8 Mon Sep 17 00:00:00 2001 From: Alex Klibisz <8015228+alexklibisz@users.noreply.github.com> Date: Sat, 23 Mar 2024 13:00:49 -0700 Subject: [PATCH 10/11] Sticking with if statements in IntArrayBuffer and FloatArrayBuffer --- .../elastiknn/api/FloatArrayBuffer.java | 20 ++++++++----------- .../klibisz/elastiknn/api/IntArrayBuffer.java | 11 +++------- 2 files changed, 11 insertions(+), 20 deletions(-) diff --git a/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java index 6f711047b..a9059a3fa 100644 --- a/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java +++ b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java @@ -21,19 +21,15 @@ public FloatArrayBuffer() { } public void append(float f) { - // if statement gets about 557013.799 ops/s on r6i.4xlarge. -// if (index == this.array.length) { -//// System.out.printf("Growing from %d to %d\n", this.array.length, this.array.length * 2); -// this.array = Arrays.copyOf(this.array, this.array.length * 2); -// } -// this.array[index++] = f; - // try/catch gets ... - try { - this.array[index++] = f; - } catch (IndexOutOfBoundsException ex) { - this.array = Arrays.copyOf(this.array, this.array.length * 2); - this.array[index - 1] = f; + // I also measured a try/catch approach that attempts to set the index, + // catches an IndexOutOfBoundsException, and then expands the array. + // The if statement gets about 557013 ops/s on r6i.4xlarge. + // The try/catch gets about 523811 ops/s on r6i.4xlarge. + // Sticking with if statement because it's simpler and faster. + if (index == this.array.length) { + this.array = Arrays.copyOf(this.array, this.array.length * 2); } + this.array[index++] = f; } public float[] toArray() { diff --git a/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/IntArrayBuffer.java b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/IntArrayBuffer.java index 9f0644233..85b301482 100644 --- a/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/IntArrayBuffer.java +++ b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/IntArrayBuffer.java @@ -20,13 +20,6 @@ public IntArrayBuffer() { } public void append(int i) { - // TODO: Test whether try/catch is faster than if. -// try { -// this.array[index++] = i; -// } catch (IndexOutOfBoundsException ex) { -// this.array = Arrays.copyOf(this.array, this.array.length * 2); -// this.array[index - 1] = i; -// } if (index == this.array.length) { this.array = Arrays.copyOf(this.array, this.array.length * 2); } @@ -34,7 +27,9 @@ public void append(int i) { } public int[] toArray() { - nextInitialCapacity = Math.min(maxInitialCapacity, Math.max(minInitialCapacity, index)); + if (nextInitialCapacity != index) { + nextInitialCapacity = Math.min(maxInitialCapacity, Math.max(minInitialCapacity, index)); + } if (this.array.length == index) { return this.array; } else { From 3c4146e53bd5ad61c8f4dd8c5dddb955e2ef6f16 Mon Sep 17 00:00:00 2001 From: Alex Klibisz <8015228+alexklibisz@users.noreply.github.com> Date: Sat, 23 Mar 2024 13:06:10 -0700 Subject: [PATCH 11/11] Removed a commented printf --- .../main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java | 1 - 1 file changed, 1 deletion(-) diff --git a/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java index a9059a3fa..4f672c2a4 100644 --- a/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java +++ b/elastiknn-api4s/src/main/java/com/klibisz/elastiknn/api/FloatArrayBuffer.java @@ -16,7 +16,6 @@ public class FloatArrayBuffer { private int index = 0; public FloatArrayBuffer() { -// System.out.printf("Starting at %d\n", nextInitialCapacity); this.array = new float[nextInitialCapacity]; }