[Backport 2.x] Integrates KNN plugin with ConcurrentSearchRequestDecider interface (…

CHANGELOG.md

@@ -7,6 +7,7 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 ## [Unreleased 3.0](https://github.com/opensearch-project/k-NN/compare/2.x...HEAD)
 ### Features
 ### Enhancements
+* Adds concurrent segment search support for mode auto [#2111](https://github.com/opensearch-project/k-NN/pull/2111)
 ### Bug Fixes 
 * Add DocValuesProducers for releasing memory when close index [#1946](https://github.com/opensearch-project/k-NN/pull/1946)
 ### Infrastructure

src/main/java/org/opensearch/knn/plugin/KNNPlugin.java

@@ -13,6 +13,7 @@
 import org.opensearch.index.engine.EngineFactory;
 import org.opensearch.indices.SystemIndexDescriptor;
 import org.opensearch.knn.index.KNNCircuitBreaker;
+import org.opensearch.knn.plugin.search.KNNConcurrentSearchRequestDecider;
 import org.opensearch.knn.index.util.KNNClusterUtil;
 import org.opensearch.knn.index.query.KNNQueryBuilder;
 import org.opensearch.knn.index.KNNSettings;
@@ -96,6 +97,7 @@
 import org.opensearch.script.ScriptContext;
 import org.opensearch.script.ScriptEngine;
 import org.opensearch.script.ScriptService;
+import org.opensearch.search.deciders.ConcurrentSearchRequestDecider;
 import org.opensearch.threadpool.ExecutorBuilder;
 import org.opensearch.threadpool.FixedExecutorBuilder;
 import org.opensearch.threadpool.ThreadPool;
@@ -373,4 +375,9 @@ public Settings additionalSettings() {
         ).collect(Collectors.toList());
         return Settings.builder().putList(IndexModule.INDEX_STORE_HYBRID_MMAP_EXTENSIONS.getKey(), combinedSettings).build();
     }
+
+    @Override
+    public Optional<ConcurrentSearchRequestDecider.Factory> getConcurrentSearchRequestDeciderFactory() {
+        return Optional.of(new KNNConcurrentSearchRequestDecider.Factory());
+    }
 }

src/main/java/org/opensearch/knn/plugin/search/KNNConcurrentSearchRequestDecider.java

@@ -0,0 +1,65 @@
+/*
+ * Copyright OpenSearch Contributors
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+package org.opensearch.knn.plugin.search;
+
+import lombok.EqualsAndHashCode;
+import org.opensearch.index.IndexSettings;
+import org.opensearch.index.query.QueryBuilder;
+import org.opensearch.knn.index.KNNSettings;
+import org.opensearch.knn.index.query.KNNQueryBuilder;
+import org.opensearch.search.deciders.ConcurrentSearchDecision;
+import org.opensearch.search.deciders.ConcurrentSearchRequestDecider;
+
+import java.util.Optional;
+
+/**
+ * Decides if the knn query uses concurrent segment search
+ * As of 2.17, this is only used when
+ *  - "index.search.concurrent_segment_search.mode": "auto" or
+ *  - "search.concurrent_segment_search.mode": "auto"
+ *
+ *  Note: the class is not thread-safe and a new instance needs to be created for each request
+ */
+@EqualsAndHashCode(callSuper = true)
+public class KNNConcurrentSearchRequestDecider extends ConcurrentSearchRequestDecider {
+
+    private static final ConcurrentSearchDecision DEFAULT_KNN_DECISION = new ConcurrentSearchDecision(
+        ConcurrentSearchDecision.DecisionStatus.NO_OP,
+        "Default decision"
+    );
+    private static final ConcurrentSearchDecision YES = new ConcurrentSearchDecision(
+        ConcurrentSearchDecision.DecisionStatus.YES,
+        "Enable concurrent search for knn as Query has k-NN query in it and index is k-nn index"
+    );
+
+    private ConcurrentSearchDecision knnDecision = DEFAULT_KNN_DECISION;
+
+    @Override
+    public void evaluateForQuery(final QueryBuilder queryBuilder, final IndexSettings indexSettings) {
+        if (queryBuilder instanceof KNNQueryBuilder && indexSettings.getValue(KNNSettings.IS_KNN_INDEX_SETTING)) {
+            knnDecision = YES;
+        } else {
+            knnDecision = DEFAULT_KNN_DECISION;
+        }
+    }
+
+    @Override
+    public ConcurrentSearchDecision getConcurrentSearchDecision() {
+        return knnDecision;
+    }
+
+    /**
+     * Returns {@link KNNConcurrentSearchRequestDecider} when index.knn is true
+     */
+    public static class Factory implements ConcurrentSearchRequestDecider.Factory {
+        public Optional<ConcurrentSearchRequestDecider> create(final IndexSettings indexSettings) {
+            if (indexSettings.getValue(KNNSettings.IS_KNN_INDEX_SETTING)) {
+                return Optional.of(new KNNConcurrentSearchRequestDecider());
+            }
+            return Optional.empty();
+        }
+    }
+}

src/test/java/org/opensearch/knn/integ/search/ConcurrentSegmentSearchIT.java

@@ -0,0 +1,141 @@
+/*
+ * Copyright OpenSearch Contributors
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+package org.opensearch.knn.integ.search;
+
+import com.google.common.primitives.Floats;
+import lombok.SneakyThrows;
+import org.apache.http.util.EntityUtils;
+import org.junit.BeforeClass;
+import org.opensearch.client.Response;
+import org.opensearch.common.settings.Settings;
+import org.opensearch.core.xcontent.XContentBuilder;
+import org.opensearch.knn.KNNJsonIndexMappingsBuilder;
+import org.opensearch.knn.KNNRestTestCase;
+import org.opensearch.knn.KNNResult;
+import org.opensearch.knn.TestUtils;
+import org.opensearch.knn.index.SpaceType;
+import org.opensearch.knn.index.engine.KNNEngine;
+import org.opensearch.knn.index.query.KNNQueryBuilder;
+import org.opensearch.knn.plugin.script.KNNScoringUtil;
+
+import java.io.IOException;
+import java.net.URL;
+import java.util.List;
+import java.util.Map;
+import java.util.TreeMap;
+
+import static org.opensearch.knn.common.KNNConstants.METHOD_HNSW;
+
+/**
+ * Note that this is simply a sanity test to make sure that concurrent search code path is hit E2E and scores are intact
+ * There is no latency verification as it can be better encapsulated in nightly runs.
+ */
+public class ConcurrentSegmentSearchIT extends KNNRestTestCase {
+
+    static TestUtils.TestData testData;
+
+    @BeforeClass
+    public static void setUpClass() throws IOException {
+        if (ConcurrentSegmentSearchIT.class.getClassLoader() == null) {
+            throw new IllegalStateException("ClassLoader of ConcurrentSegmentSearchIT Class is null");
+        }
+        URL testIndexVectors = ConcurrentSegmentSearchIT.class.getClassLoader().getResource("data/test_vectors_1000x128.json");
+        URL testQueries = ConcurrentSegmentSearchIT.class.getClassLoader().getResource("data/test_queries_100x128.csv");
+        assert testIndexVectors != null;
+        assert testQueries != null;
+        testData = new TestUtils.TestData(testIndexVectors.getPath(), testQueries.getPath());
+    }
+
+    @SneakyThrows
+    public void testConcurrentSegmentSearch_thenSucceed() {
+        String indexName = "test-concurrent-segment";
+        String fieldName = "test-field-1";
+        int dimension = testData.indexData.vectors[0].length;
+        final XContentBuilder indexBuilder = createFaissHnswIndexMapping(fieldName, dimension);
+        Map<String, Object> mappingMap = xContentBuilderToMap(indexBuilder);
+        String mapping = indexBuilder.toString();
+        createKnnIndex(indexName, mapping);
+        assertEquals(new TreeMap<>(mappingMap), new TreeMap<>(getIndexMappingAsMap(indexName)));
+
+        // Index the test data
+        for (int i = 0; i < testData.indexData.docs.length; i++) {
+            addKnnDoc(
+                indexName,
+                Integer.toString(testData.indexData.docs[i]),
+                fieldName,
+                Floats.asList(testData.indexData.vectors[i]).toArray()
+            );
+        }
+        refreshAllNonSystemIndices();
+        updateIndexSettings(indexName, Settings.builder().put("index.search.concurrent_segment_search.mode", "auto"));
+
+        // Test search queries
+        int k = 10;
+        verifySearch(indexName, fieldName, k);
+
+        updateIndexSettings(indexName, Settings.builder().put("index.search.concurrent_segment_search.mode", "all"));
+        verifySearch(indexName, fieldName, k);
+
+        deleteKNNIndex(indexName);
+    }
+
+    /*
+    {
+      "properties": {
+        "<fieldName>": {
+            "type": "knn_vector",
+            "dimension": <dimension>,
+            "method": {
+            "name": "hnsw",
+            "space_type": "l2",
+            "engine": "faiss",
+            "parameters": {
+                "m": 16,
+                "ef_construction": 128,
+                "ef_search": 128
+            }
+          }
+        }
+      }
+     */
+    @SneakyThrows
+    private XContentBuilder createFaissHnswIndexMapping(String fieldName, int dimension) {
+        return KNNJsonIndexMappingsBuilder.builder()
+            .fieldName(fieldName)
+            .dimension(dimension)
+            .method(
+                KNNJsonIndexMappingsBuilder.Method.builder()
+                    .engine(KNNEngine.FAISS.getName())
+                    .methodName(METHOD_HNSW)
+                    .spaceType(SpaceType.L2.getValue())
+                    .parameters(KNNJsonIndexMappingsBuilder.Method.Parameters.builder().efConstruction(128).efSearch(128).m(16).build())
+                    .build()
+            )
+            .build()
+            .getIndexMappingBuilder();
+    }
+
+    @SneakyThrows
+    private void verifySearch(String indexName, String fieldName, int k) {
+        for (int i = 0; i < testData.queries.length; i++) {
+            final KNNQueryBuilder queryBuilder = KNNQueryBuilder.builder().fieldName(fieldName).vector(testData.queries[i]).k(k).build();
+            Response response = searchKNNIndex(indexName, queryBuilder, k);
+            String responseBody = EntityUtils.toString(response.getEntity());
+            List<KNNResult> knnResults = parseSearchResponse(responseBody, fieldName);
+            assertEquals(k, knnResults.size());
+
+            List<Float> actualScores = parseSearchResponseScore(responseBody, fieldName);
+            for (int j = 0; j < k; j++) {
+                float[] primitiveArray = knnResults.get(j).getVector();
+                assertEquals(
+                    KNNEngine.FAISS.score(KNNScoringUtil.l2Squared(testData.queries[i], primitiveArray), SpaceType.L2),
+                    actualScores.get(j),
+                    0.0001
+                );
+            }
+        }
+    }
+}

src/test/java/org/opensearch/knn/plugin/search/KNNConcurrentSearchRequestDeciderTests.java

@@ -0,0 +1,65 @@
+/*
+ * Copyright OpenSearch Contributors
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+package org.opensearch.knn.plugin.search;
+
+import org.opensearch.index.IndexSettings;
+import org.opensearch.index.query.MatchAllQueryBuilder;
+import org.opensearch.knn.KNNTestCase;
+import org.opensearch.knn.index.KNNSettings;
+import org.opensearch.knn.index.query.KNNQueryBuilder;
+import org.opensearch.search.deciders.ConcurrentSearchDecision;
+
+import static org.mockito.Mockito.mock;
+import static org.mockito.Mockito.when;
+
+public class KNNConcurrentSearchRequestDeciderTests extends KNNTestCase {
+
+    public void testDecider_thenSucceed() {
+        ConcurrentSearchDecision noop = new ConcurrentSearchDecision(ConcurrentSearchDecision.DecisionStatus.NO_OP, "Default decision");
+
+        KNNConcurrentSearchRequestDecider decider = new KNNConcurrentSearchRequestDecider();
+        assertDecision(noop, decider.getConcurrentSearchDecision());
+        IndexSettings indexSettingsMock = mock(IndexSettings.class);
+        when(indexSettingsMock.getValue(KNNSettings.IS_KNN_INDEX_SETTING)).thenReturn(Boolean.FALSE);
+
+        // Non KNNQueryBuilder
+        decider.evaluateForQuery(new MatchAllQueryBuilder(), indexSettingsMock);
+        assertDecision(noop, decider.getConcurrentSearchDecision());
+        decider.evaluateForQuery(
+            KNNQueryBuilder.builder().vector(new float[] { 1f, 2f, 3f, 4f, 5f, 6f }).fieldName("decider").k(10).build(),
+            indexSettingsMock
+        );
+        assertDecision(noop, decider.getConcurrentSearchDecision());
+
+        when(indexSettingsMock.getValue(KNNSettings.IS_KNN_INDEX_SETTING)).thenReturn(Boolean.TRUE);
+        decider.evaluateForQuery(
+            KNNQueryBuilder.builder().vector(new float[] { 1f, 2f, 3f, 4f, 5f, 6f }).fieldName("decider").k(10).build(),
+            indexSettingsMock
+        );
+        ConcurrentSearchDecision yes = new ConcurrentSearchDecision(
+            ConcurrentSearchDecision.DecisionStatus.YES,
+            "Enable concurrent search for knn as Query has k-NN query in it and index is k-nn index"
+        );
+        assertDecision(yes, decider.getConcurrentSearchDecision());
+
+        decider.evaluateForQuery(new MatchAllQueryBuilder(), indexSettingsMock);
+        assertDecision(noop, decider.getConcurrentSearchDecision());
+    }
+
+    public void testDeciderFactory_thenSucceed() {
+        KNNConcurrentSearchRequestDecider.Factory factory = new KNNConcurrentSearchRequestDecider.Factory();
+        IndexSettings indexSettingsMock = mock(IndexSettings.class);
+        when(indexSettingsMock.getValue(KNNSettings.IS_KNN_INDEX_SETTING)).thenReturn(Boolean.TRUE);
+        assertNotSame(factory.create(indexSettingsMock).get(), factory.create(indexSettingsMock).get());
+        when(indexSettingsMock.getValue(KNNSettings.IS_KNN_INDEX_SETTING)).thenReturn(Boolean.FALSE);
+        assertTrue(factory.create(indexSettingsMock).isEmpty());
+    }
+
+    private void assertDecision(ConcurrentSearchDecision expected, ConcurrentSearchDecision actual) {
+        assertEquals(expected.getDecisionReason(), actual.getDecisionReason());
+        assertEquals(expected.getDecisionStatus(), actual.getDecisionStatus());
+    }
+}

src/testFixtures/java/org/opensearch/knn/KNNJsonIndexMappingsBuilder.java

@@ -9,6 +9,7 @@
 import lombok.NonNull;
 import org.opensearch.common.xcontent.XContentFactory;
 import org.opensearch.core.xcontent.XContentBuilder;
+import org.opensearch.knn.common.KNNConstants;
 
 import java.io.IOException;
 
@@ -26,7 +27,7 @@ public class KNNJsonIndexMappingsBuilder {
     private String vectorDataType;
     private Method method;
 
-    public String getIndexMapping() throws IOException {
+    public XContentBuilder getIndexMappingBuilder() throws IOException {
         if (nestedFieldName != null) {
             XContentBuilder xContentBuilder = XContentFactory.jsonBuilder()
                 .startObject()
@@ -40,7 +41,7 @@ public String getIndexMapping() throws IOException {
             addVectorDataType(xContentBuilder);
             addMethod(xContentBuilder);
             xContentBuilder.endObject().endObject().endObject().endObject().endObject();
-            return xContentBuilder.toString();
+            return xContentBuilder;
         } else {
             XContentBuilder xContentBuilder = XContentFactory.jsonBuilder()
                 .startObject()
@@ -51,10 +52,14 @@ public String getIndexMapping() throws IOException {
             addVectorDataType(xContentBuilder);
             addMethod(xContentBuilder);
             xContentBuilder.endObject().endObject().endObject();
-            return xContentBuilder.toString();
+            return xContentBuilder;
         }
     }
 
+    public String getIndexMapping() throws IOException {
+        return getIndexMappingBuilder().toString();
+    }
+
     private void addVectorDataType(final XContentBuilder xContentBuilder) throws IOException {
         if (vectorDataType == null) {
             return;
@@ -104,6 +109,7 @@ public static class Parameters {
             private Encoder encoder;
             private Integer efConstruction;
             private Integer efSearch;
+            private Integer m;
 
             private void addTo(final XContentBuilder xContentBuilder) throws IOException {
                 xContentBuilder.startObject("parameters");
@@ -113,6 +119,9 @@ private void addTo(final XContentBuilder xContentBuilder) throws IOException {
                 if (efSearch != null) {
                     xContentBuilder.field("ef_search", efSearch);
                 }
+                if (m != null) {
+                    xContentBuilder.field(KNNConstants.METHOD_PARAMETER_M, m);
+                }
                 addEncoder(xContentBuilder);
                 xContentBuilder.endObject();
             }