From 675c3937b6302203538b700c709d089b6d7d2bd8 Mon Sep 17 00:00:00 2001 From: Martin Gaievski Date: Mon, 7 Aug 2023 18:17:27 -0700 Subject: [PATCH] Fixed compilation errors after recent changes in core Signed-off-by: Martin Gaievski --- .../org/opensearch/knn/bwc/IndexingIT.java | 86 ++++---- .../java/org/opensearch/knn/bwc/ModelIT.java | 22 +- .../knn/index/mapper/MethodFieldMapper.java | 3 +- .../org/opensearch/knn/index/FaissIT.java | 30 ++- .../index/KNNCreateIndexFromModelTests.java | 22 +- .../opensearch/knn/index/LuceneEngineIT.java | 11 +- .../org/opensearch/knn/index/NmslibIT.java | 204 +++++++++--------- .../opensearch/knn/index/OpenSearchIT.java | 53 +++-- .../knn/index/VectorDataTypeIT.java | 7 +- .../KNN80DocValuesConsumerTests.java | 5 +- .../plugin/action/RestKNNStatsHandlerIT.java | 22 +- .../knn/plugin/script/KNNScriptScoringIT.java | 43 ++-- .../knn/plugin/script/PainlessScriptIT.java | 3 +- .../transport/DeleteModelResponseTests.java | 3 +- .../transport/GetModelResponseTests.java | 5 +- .../lang-painless-1.3.0-SNAPSHOT.zip | Bin 0 -> 1291433 bytes .../org/opensearch/knn/KNNRestTestCase.java | 172 +++++++-------- .../org/opensearch/knn/ODFERestTestCase.java | 3 +- 18 files changed, 328 insertions(+), 366 deletions(-) create mode 100644 src/test/resources/lang-painless/lang-painless-1.3.0-SNAPSHOT.zip diff --git a/qa/restart-upgrade/src/test/java/org/opensearch/knn/bwc/IndexingIT.java b/qa/restart-upgrade/src/test/java/org/opensearch/knn/bwc/IndexingIT.java index 7437cf0c1..c8d0cac93 100644 --- a/qa/restart-upgrade/src/test/java/org/opensearch/knn/bwc/IndexingIT.java +++ b/qa/restart-upgrade/src/test/java/org/opensearch/knn/bwc/IndexingIT.java @@ -5,7 +5,6 @@ package org.opensearch.knn.bwc; -import org.opensearch.common.Strings; import org.opensearch.common.xcontent.XContentFactory; import org.opensearch.knn.index.SpaceType; @@ -96,21 +95,20 @@ public void testKNNIndexCustomMethodFieldMapping() throws Exception { // test null parameters public void testNullParametersOnUpgrade() throws Exception { if (isRunningAgainstOldCluster()) { - String mapping = Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject(PROPERTIES) - .startObject(TEST_FIELD) - .field(VECTOR_TYPE, KNN_VECTOR) - .field(DIMENSION, String.valueOf(DIMENSIONS)) - .startObject(KNN_METHOD) - .field(NAME, METHOD_HNSW) - .field(PARAMETERS, (String) null) - .endObject() - .endObject() - .endObject() - .endObject() - ); + String mapping = XContentFactory.jsonBuilder() + .startObject() + .startObject(PROPERTIES) + .startObject(TEST_FIELD) + .field(VECTOR_TYPE, KNN_VECTOR) + .field(DIMENSION, String.valueOf(DIMENSIONS)) + .startObject(KNN_METHOD) + .field(NAME, METHOD_HNSW) + .field(PARAMETERS, (String) null) + .endObject() + .endObject() + .endObject() + .endObject() + .toString(); createKnnIndex(testIndex, getKNNDefaultIndexSettings(), mapping); } else { @@ -121,21 +119,20 @@ public void testNullParametersOnUpgrade() throws Exception { // test empty parameters public void testEmptyParametersOnUpgrade() throws Exception { if (isRunningAgainstOldCluster()) { - String mapping = Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject(PROPERTIES) - .startObject(TEST_FIELD) - .field(VECTOR_TYPE, KNN_VECTOR) - .field(DIMENSION, String.valueOf(DIMENSIONS)) - .startObject(KNN_METHOD) - .field(NAME, METHOD_HNSW) - .field(PARAMETERS, "") - .endObject() - .endObject() - .endObject() - .endObject() - ); + String mapping = XContentFactory.jsonBuilder() + .startObject() + .startObject(PROPERTIES) + .startObject(TEST_FIELD) + .field(VECTOR_TYPE, KNN_VECTOR) + .field(DIMENSION, String.valueOf(DIMENSIONS)) + .startObject(KNN_METHOD) + .field(NAME, METHOD_HNSW) + .field(PARAMETERS, "") + .endObject() + .endObject() + .endObject() + .endObject() + .toString(); createKnnIndex(testIndex, getKNNDefaultIndexSettings(), mapping); } else { @@ -146,20 +143,19 @@ public void testEmptyParametersOnUpgrade() throws Exception { // test no parameters public void testNoParametersOnUpgrade() throws Exception { if (isRunningAgainstOldCluster()) { - String mapping = Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject(PROPERTIES) - .startObject(TEST_FIELD) - .field(VECTOR_TYPE, KNN_VECTOR) - .field(DIMENSION, String.valueOf(DIMENSIONS)) - .startObject(KNN_METHOD) - .field(NAME, METHOD_HNSW) - .endObject() - .endObject() - .endObject() - .endObject() - ); + String mapping = XContentFactory.jsonBuilder() + .startObject() + .startObject(PROPERTIES) + .startObject(TEST_FIELD) + .field(VECTOR_TYPE, KNN_VECTOR) + .field(DIMENSION, String.valueOf(DIMENSIONS)) + .startObject(KNN_METHOD) + .field(NAME, METHOD_HNSW) + .endObject() + .endObject() + .endObject() + .endObject() + .toString(); createKnnIndex(testIndex, getKNNDefaultIndexSettings(), mapping); } else { diff --git a/qa/restart-upgrade/src/test/java/org/opensearch/knn/bwc/ModelIT.java b/qa/restart-upgrade/src/test/java/org/opensearch/knn/bwc/ModelIT.java index 473802ca8..0324822f7 100644 --- a/qa/restart-upgrade/src/test/java/org/opensearch/knn/bwc/ModelIT.java +++ b/qa/restart-upgrade/src/test/java/org/opensearch/knn/bwc/ModelIT.java @@ -11,7 +11,6 @@ import org.opensearch.client.Request; import org.opensearch.client.Response; import org.opensearch.client.ResponseException; -import org.opensearch.common.Strings; import org.opensearch.core.xcontent.XContentBuilder; import org.opensearch.common.xcontent.XContentFactory; import org.opensearch.core.xcontent.XContentParser; @@ -245,17 +244,16 @@ public void trainKNNModelDefault(String modelId, String trainingIndexName, Strin // mapping to create index from model public String modelIndexMapping(String fieldName, String modelId) throws IOException { - return Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject(PROPERTIES) - .startObject(fieldName) - .field(VECTOR_TYPE, KNN_VECTOR) - .field(MODEL_ID, modelId) - .endObject() - .endObject() - .endObject() - ); + return XContentFactory.jsonBuilder() + .startObject() + .startObject(PROPERTIES) + .startObject(fieldName) + .field(VECTOR_TYPE, KNN_VECTOR) + .field(MODEL_ID, modelId) + .endObject() + .endObject() + .endObject() + .toString(); } private ModelMetadata getModelMetadata() { diff --git a/src/main/java/org/opensearch/knn/index/mapper/MethodFieldMapper.java b/src/main/java/org/opensearch/knn/index/mapper/MethodFieldMapper.java index 42c12a5db..1db710bad 100644 --- a/src/main/java/org/opensearch/knn/index/mapper/MethodFieldMapper.java +++ b/src/main/java/org/opensearch/knn/index/mapper/MethodFieldMapper.java @@ -7,7 +7,6 @@ import org.apache.lucene.document.FieldType; import org.opensearch.common.Explicit; -import org.opensearch.common.Strings; import org.opensearch.common.xcontent.XContentFactory; import org.opensearch.knn.index.KNNMethodContext; import org.opensearch.knn.index.util.KNNEngine; @@ -50,7 +49,7 @@ public class MethodFieldMapper extends KNNVectorFieldMapper { try { this.fieldType.putAttribute( PARAMETERS, - Strings.toString(XContentFactory.jsonBuilder().map(knnEngine.getMethodAsMap(knnMethodContext))) + XContentFactory.jsonBuilder().map(knnEngine.getMethodAsMap(knnMethodContext)).toString() ); } catch (IOException ioe) { throw new RuntimeException(String.format("Unable to create KNNVectorFieldMapper: %s", ioe)); diff --git a/src/test/java/org/opensearch/knn/index/FaissIT.java b/src/test/java/org/opensearch/knn/index/FaissIT.java index c275790d5..2d4dc8053 100644 --- a/src/test/java/org/opensearch/knn/index/FaissIT.java +++ b/src/test/java/org/opensearch/knn/index/FaissIT.java @@ -21,7 +21,6 @@ import org.opensearch.core.xcontent.XContentBuilder; import org.opensearch.index.query.QueryBuilders; import org.opensearch.knn.KNNRestTestCase; -import org.opensearch.common.Strings; import org.opensearch.common.xcontent.XContentFactory; import org.opensearch.knn.KNNResult; import org.opensearch.knn.TestUtils; @@ -98,7 +97,7 @@ public void testEndToEnd_fromMethod() throws Exception { .endObject(); Map mappingMap = xContentBuilderToMap(builder); - String mapping = Strings.toString(builder); + String mapping = builder.toString(); createKnnIndex(indexName, mapping); assertEquals(new TreeMap<>(mappingMap), new TreeMap<>(getIndexMappingAsMap(indexName))); @@ -175,7 +174,7 @@ public void testDocUpdate() throws IOException { .endObject() .endObject(); - String mapping = Strings.toString(builder); + String mapping = builder.toString(); createKnnIndex(indexName, mapping); Float[] vector = { 6.0f, 6.0f }; @@ -211,7 +210,7 @@ public void testDocDeletion() throws IOException { .endObject() .endObject(); - String mapping = Strings.toString(builder); + String mapping = builder.toString(); createKnnIndex(indexName, mapping); Float[] vector = { 6.0f, 6.0f }; @@ -255,17 +254,16 @@ public void testKNNQuery_withModelDifferentCombination_thenSuccess() { // Create knn index from model String fieldName = "test-field-name"; String indexName = "test-index-name"; - String indexMapping = Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject("properties") - .startObject(fieldName) - .field("type", "knn_vector") - .field(MODEL_ID, modelId) - .endObject() - .endObject() - .endObject() - ); + String indexMapping = XContentFactory.jsonBuilder() + .startObject() + .startObject("properties") + .startObject(fieldName) + .field("type", "knn_vector") + .field(MODEL_ID, modelId) + .endObject() + .endObject() + .endObject() + .toString(); createKnnIndex(indexName, getKNNDefaultIndexSettings(), indexMapping); @@ -389,7 +387,7 @@ protected void setupKNNIndexForFilterQuery() throws Exception { .endObject() .endObject() .endObject(); - final String mapping = Strings.toString(builder); + final String mapping = builder.toString(); createKnnIndex(INDEX_NAME, mapping); diff --git a/src/test/java/org/opensearch/knn/index/KNNCreateIndexFromModelTests.java b/src/test/java/org/opensearch/knn/index/KNNCreateIndexFromModelTests.java index e0b2c05cf..3a4746158 100644 --- a/src/test/java/org/opensearch/knn/index/KNNCreateIndexFromModelTests.java +++ b/src/test/java/org/opensearch/knn/index/KNNCreateIndexFromModelTests.java @@ -14,7 +14,6 @@ import com.google.common.collect.ImmutableMap; import org.opensearch.action.ActionListener; import org.opensearch.action.admin.indices.create.CreateIndexRequestBuilder; -import org.opensearch.common.Strings; import org.opensearch.common.settings.Settings; import org.opensearch.common.xcontent.XContentFactory; import org.opensearch.knn.KNNSingleNodeTestCase; @@ -75,17 +74,16 @@ public void testCreateIndexFromModel() throws IOException, InterruptedException String indexName = "test-index"; String fieldName = "test-field"; - final String mapping = Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject("properties") - .startObject(fieldName) - .field("type", "knn_vector") - .field("model_id", modelId) - .endObject() - .endObject() - .endObject() - ); + final String mapping = XContentFactory.jsonBuilder() + .startObject() + .startObject("properties") + .startObject(fieldName) + .field("type", "knn_vector") + .field("model_id", modelId) + .endObject() + .endObject() + .endObject() + .toString(); modelDao.put(model, ActionListener.wrap(indexResponse -> { CreateIndexRequestBuilder createIndexRequestBuilder = client().admin() diff --git a/src/test/java/org/opensearch/knn/index/LuceneEngineIT.java b/src/test/java/org/opensearch/knn/index/LuceneEngineIT.java index 594daeaeb..562765e0c 100644 --- a/src/test/java/org/opensearch/knn/index/LuceneEngineIT.java +++ b/src/test/java/org/opensearch/knn/index/LuceneEngineIT.java @@ -16,7 +16,6 @@ import org.opensearch.client.Request; import org.opensearch.client.Response; import org.opensearch.client.ResponseException; -import org.opensearch.common.Strings; import org.opensearch.core.xcontent.XContentBuilder; import org.opensearch.common.xcontent.XContentFactory; import org.opensearch.index.query.QueryBuilders; @@ -101,7 +100,7 @@ public void testQuery_innerProduct_notSupported() throws Exception { .endObject() .endObject(); - String mapping = Strings.toString(builder); + String mapping = builder.toString(); createIndex(INDEX_NAME, getKNNDefaultIndexSettings()); @@ -179,7 +178,7 @@ public void testQuery_multipleEngines() throws Exception { .endObject() .endObject() .endObject(); - String mapping = Strings.toString(builder); + String mapping = builder.toString(); createKnnIndex(INDEX_NAME, mapping); for (int i = 0; i < TEST_INDEX_VECTORS.length; i++) { @@ -219,7 +218,7 @@ public void testAddDoc() throws Exception { .endObject(); Map mappingMap = xContentBuilderToMap(builder); - String mapping = Strings.toString(builder); + String mapping = builder.toString(); createKnnIndex(INDEX_NAME, mapping); assertEquals(new TreeMap<>(mappingMap), new TreeMap<>(getIndexMappingAsMap(INDEX_NAME))); @@ -305,7 +304,7 @@ public void testQuery_filterWithNonLuceneEngine() throws Exception { .endObject() .endObject(); - String mapping = Strings.toString(builder); + String mapping = builder.toString(); createKnnIndex(INDEX_NAME, mapping); addKnnDocWithAttributes( @@ -371,7 +370,7 @@ private void createKnnIndexMappingWithLuceneEngine(int dimension, SpaceType spac .endObject() .endObject(); - String mapping = Strings.toString(builder); + String mapping = builder.toString(); createKnnIndex(INDEX_NAME, mapping); } diff --git a/src/test/java/org/opensearch/knn/index/NmslibIT.java b/src/test/java/org/opensearch/knn/index/NmslibIT.java index 7c6bce1a9..87bbe588f 100644 --- a/src/test/java/org/opensearch/knn/index/NmslibIT.java +++ b/src/test/java/org/opensearch/knn/index/NmslibIT.java @@ -19,7 +19,6 @@ import org.opensearch.core.xcontent.XContentBuilder; import org.opensearch.knn.KNNRestTestCase; import org.opensearch.client.ResponseException; -import org.opensearch.common.Strings; import org.opensearch.common.settings.Settings; import org.opensearch.common.xcontent.XContentFactory; import org.opensearch.knn.KNNResult; @@ -85,7 +84,7 @@ public void testEndToEnd() throws Exception { .endObject(); Map mappingMap = xContentBuilderToMap(builder); - String mapping = Strings.toString(builder); + String mapping = builder.toString(); createKnnIndex(indexName, mapping); assertEquals(new TreeMap<>(mappingMap), new TreeMap<>(getIndexMappingAsMap(indexName))); @@ -187,25 +186,24 @@ public void testCreateIndexWithValidAlgoParams_mapping() { int efConstruction = 14; int m = 13; - String mapping = Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject("properties") - .startObject(FIELD_NAME) - .field("type", "knn_vector") - .field("dimension", 2) - .startObject(KNNConstants.KNN_METHOD) - .field(KNNConstants.METHOD_PARAMETER_SPACE_TYPE, spaceType) - .field(KNNConstants.NAME, KNNConstants.METHOD_HNSW) - .startObject(KNNConstants.PARAMETERS) - .field(KNNConstants.METHOD_PARAMETER_EF_CONSTRUCTION, efConstruction) - .field(KNNConstants.METHOD_PARAMETER_M, m) - .endObject() - .endObject() - .endObject() - .endObject() - .endObject() - ); + String mapping = XContentFactory.jsonBuilder() + .startObject() + .startObject("properties") + .startObject(FIELD_NAME) + .field("type", "knn_vector") + .field("dimension", 2) + .startObject(KNNConstants.KNN_METHOD) + .field(KNNConstants.METHOD_PARAMETER_SPACE_TYPE, spaceType) + .field(KNNConstants.NAME, KNNConstants.METHOD_HNSW) + .startObject(KNNConstants.PARAMETERS) + .field(KNNConstants.METHOD_PARAMETER_EF_CONSTRUCTION, efConstruction) + .field(KNNConstants.METHOD_PARAMETER_M, m) + .endObject() + .endObject() + .endObject() + .endObject() + .endObject() + .toString(); createKnnIndex(INDEX_NAME, settings, mapping); @@ -243,25 +241,24 @@ public void testCreateIndexWithValidAlgoParams_mappingAndSettings() { .put("index.knn.algo_param.ef_construction", efConstruction1) .build(); - String mapping = Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject("properties") - .startObject(FIELD_NAME) - .field("type", "knn_vector") - .field("dimension", 2) - .startObject(KNNConstants.KNN_METHOD) - .field(KNNConstants.METHOD_PARAMETER_SPACE_TYPE, spaceType1) - .field(KNNConstants.NAME, KNNConstants.METHOD_HNSW) - .startObject(KNNConstants.PARAMETERS) - .field(KNNConstants.METHOD_PARAMETER_EF_CONSTRUCTION, efConstruction1) - .field(KNNConstants.METHOD_PARAMETER_M, m1) - .endObject() - .endObject() - .endObject() - .endObject() - .endObject() - ); + String mapping = XContentFactory.jsonBuilder() + .startObject() + .startObject("properties") + .startObject(FIELD_NAME) + .field("type", "knn_vector") + .field("dimension", 2) + .startObject(KNNConstants.KNN_METHOD) + .field(KNNConstants.METHOD_PARAMETER_SPACE_TYPE, spaceType1) + .field(KNNConstants.NAME, KNNConstants.METHOD_HNSW) + .startObject(KNNConstants.PARAMETERS) + .field(KNNConstants.METHOD_PARAMETER_EF_CONSTRUCTION, efConstruction1) + .field(KNNConstants.METHOD_PARAMETER_M, m1) + .endObject() + .endObject() + .endObject() + .endObject() + .endObject() + .toString(); createKnnIndex(INDEX_NAME + "1", settings, mapping); Float[] vector = { 6.0f, 6.0f }; @@ -271,37 +268,36 @@ public void testCreateIndexWithValidAlgoParams_mappingAndSettings() { int efConstruction2 = 114; int m2 = 113; - mapping = Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject("properties") - .startObject(FIELD_NAME + "1") - .field("type", "knn_vector") - .field("dimension", 2) - .startObject(KNNConstants.KNN_METHOD) - .field(KNNConstants.METHOD_PARAMETER_SPACE_TYPE, spaceType1) - .field(KNNConstants.NAME, KNNConstants.METHOD_HNSW) - .startObject(KNNConstants.PARAMETERS) - .field(KNNConstants.METHOD_PARAMETER_EF_CONSTRUCTION, efConstruction1) - .field(KNNConstants.METHOD_PARAMETER_M, m1) - .endObject() - .endObject() - .endObject() - .startObject(FIELD_NAME + "2") - .field("type", "knn_vector") - .field("dimension", 2) - .startObject(KNNConstants.KNN_METHOD) - .field(KNNConstants.METHOD_PARAMETER_SPACE_TYPE, spaceType2) - .field(KNNConstants.NAME, KNNConstants.METHOD_HNSW) - .startObject(KNNConstants.PARAMETERS) - .field(KNNConstants.METHOD_PARAMETER_EF_CONSTRUCTION, efConstruction2) - .field(KNNConstants.METHOD_PARAMETER_M, m2) - .endObject() - .endObject() - .endObject() - .endObject() - .endObject() - ); + mapping = XContentFactory.jsonBuilder() + .startObject() + .startObject("properties") + .startObject(FIELD_NAME + "1") + .field("type", "knn_vector") + .field("dimension", 2) + .startObject(KNNConstants.KNN_METHOD) + .field(KNNConstants.METHOD_PARAMETER_SPACE_TYPE, spaceType1) + .field(KNNConstants.NAME, KNNConstants.METHOD_HNSW) + .startObject(KNNConstants.PARAMETERS) + .field(KNNConstants.METHOD_PARAMETER_EF_CONSTRUCTION, efConstruction1) + .field(KNNConstants.METHOD_PARAMETER_M, m1) + .endObject() + .endObject() + .endObject() + .startObject(FIELD_NAME + "2") + .field("type", "knn_vector") + .field("dimension", 2) + .startObject(KNNConstants.KNN_METHOD) + .field(KNNConstants.METHOD_PARAMETER_SPACE_TYPE, spaceType2) + .field(KNNConstants.NAME, KNNConstants.METHOD_HNSW) + .startObject(KNNConstants.PARAMETERS) + .field(KNNConstants.METHOD_PARAMETER_EF_CONSTRUCTION, efConstruction2) + .field(KNNConstants.METHOD_PARAMETER_M, m2) + .endObject() + .endObject() + .endObject() + .endObject() + .endObject() + .toString(); createKnnIndex(INDEX_NAME + "2", settings, mapping); addKnnDoc(INDEX_NAME + "2", "1", FIELD_NAME, vector); @@ -330,23 +326,22 @@ public void testInvalidIndexHnswAlgoParams_settings() { public void testInvalidIndexHnswAlgoParams_mapping() throws IOException { Settings settings = Settings.builder().put(getKNNDefaultIndexSettings()).build(); - String mapping = Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject("properties") - .startObject(FIELD_NAME) - .field("type", "knn_vector") - .field("dimension", 2) - .startObject(KNNConstants.KNN_METHOD) - .field(KNNConstants.NAME, KNNConstants.METHOD_HNSW) - .startObject(KNNConstants.PARAMETERS) - .field(KNNConstants.METHOD_PARAMETER_EF_CONSTRUCTION, "-1") - .endObject() - .endObject() - .endObject() - .endObject() - .endObject() - ); + String mapping = XContentFactory.jsonBuilder() + .startObject() + .startObject("properties") + .startObject(FIELD_NAME) + .field("type", "knn_vector") + .field("dimension", 2) + .startObject(KNNConstants.KNN_METHOD) + .field(KNNConstants.NAME, KNNConstants.METHOD_HNSW) + .startObject(KNNConstants.PARAMETERS) + .field(KNNConstants.METHOD_PARAMETER_EF_CONSTRUCTION, "-1") + .endObject() + .endObject() + .endObject() + .endObject() + .endObject() + .toString(); expectThrows(ResponseException.class, () -> createKnnIndex(INDEX_NAME, settings, mapping)); } @@ -354,23 +349,22 @@ public void testInvalidIndexHnswAlgoParams_mapping() throws IOException { public void testInvalidIndexHnswAlgoParams_mappingAndSettings() throws IOException { Settings settings = Settings.builder().put(getKNNDefaultIndexSettings()).put("index.knn.algo_param.m", "-1").build(); - String mapping = Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject("properties") - .startObject(FIELD_NAME) - .field("type", "knn_vector") - .field("dimension", 2) - .startObject(KNNConstants.KNN_METHOD) - .field(KNNConstants.NAME, KNNConstants.METHOD_HNSW) - .startObject(KNNConstants.PARAMETERS) - .field(KNNConstants.METHOD_PARAMETER_M, "-1") - .endObject() - .endObject() - .endObject() - .endObject() - .endObject() - ); + String mapping = XContentFactory.jsonBuilder() + .startObject() + .startObject("properties") + .startObject(FIELD_NAME) + .field("type", "knn_vector") + .field("dimension", 2) + .startObject(KNNConstants.KNN_METHOD) + .field(KNNConstants.NAME, KNNConstants.METHOD_HNSW) + .startObject(KNNConstants.PARAMETERS) + .field(KNNConstants.METHOD_PARAMETER_M, "-1") + .endObject() + .endObject() + .endObject() + .endObject() + .endObject() + .toString(); expectThrows(ResponseException.class, () -> createKnnIndex(INDEX_NAME, settings, mapping)); } diff --git a/src/test/java/org/opensearch/knn/index/OpenSearchIT.java b/src/test/java/org/opensearch/knn/index/OpenSearchIT.java index 95005a5cb..4130e2df5 100644 --- a/src/test/java/org/opensearch/knn/index/OpenSearchIT.java +++ b/src/test/java/org/opensearch/knn/index/OpenSearchIT.java @@ -20,7 +20,6 @@ import org.opensearch.client.Request; import org.opensearch.client.Response; import org.opensearch.client.ResponseException; -import org.opensearch.common.Strings; import org.opensearch.common.settings.Settings; import org.opensearch.core.xcontent.XContentBuilder; import org.opensearch.common.xcontent.XContentFactory; @@ -108,7 +107,7 @@ public void testEndToEnd() throws Exception { .endObject(); Map mappingMap = xContentBuilderToMap(builder); - String mapping = Strings.toString(builder); + String mapping = builder.toString(); createKnnIndex(indexName, mapping); assertEquals(new TreeMap<>(mappingMap), new TreeMap<>(getIndexMappingAsMap(indexName))); @@ -267,16 +266,15 @@ public void testIndexingVectorValidation_differentSizes() throws Exception { public void testVectorMappingValidation_noDimension() throws Exception { Settings settings = Settings.builder().put(getKNNDefaultIndexSettings()).build(); - String mapping = Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject("properties") - .startObject(FIELD_NAME) - .field("type", "knn_vector") - .endObject() - .endObject() - .endObject() - ); + String mapping = XContentFactory.jsonBuilder() + .startObject() + .startObject("properties") + .startObject(FIELD_NAME) + .field("type", "knn_vector") + .endObject() + .endObject() + .endObject() + .toString(); Exception ex = expectThrows(ResponseException.class, () -> createKnnIndex(INDEX_NAME, settings, mapping)); assertThat(ex.getMessage(), containsString("Dimension value missing for vector: " + FIELD_NAME)); @@ -338,21 +336,20 @@ public void testVectorMappingValidation_multiFieldsDifferentDimension() throws E String f4 = FIELD_NAME + "-4"; String f5 = FIELD_NAME + "-5"; - String mapping = Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject("properties") - .startObject(f4) - .field("type", "knn_vector") - .field("dimension", "4") - .endObject() - .startObject(f5) - .field("type", "knn_vector") - .field("dimension", "5") - .endObject() - .endObject() - .endObject() - ); + String mapping = XContentFactory.jsonBuilder() + .startObject() + .startObject("properties") + .startObject(f4) + .field("type", "knn_vector") + .field("dimension", "4") + .endObject() + .startObject(f5) + .field("type", "knn_vector") + .field("dimension", "5") + .endObject() + .endObject() + .endObject() + .toString(); createKnnIndex(INDEX_NAME, settings, mapping); @@ -384,7 +381,7 @@ public void testExistsQuery() throws Exception { Request request = new Request("POST", "/" + INDEX_NAME + "/_doc/7?refresh=true"); XContentBuilder builder = XContentFactory.jsonBuilder().startObject().field("non-knn-field", "test").endObject(); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); Response response = client().performRequest(request); assertEquals(request.getEndpoint() + ": failed", RestStatus.CREATED, RestStatus.fromCode(response.getStatusLine().getStatusCode())); diff --git a/src/test/java/org/opensearch/knn/index/VectorDataTypeIT.java b/src/test/java/org/opensearch/knn/index/VectorDataTypeIT.java index 17e33a17c..2c4f150c4 100644 --- a/src/test/java/org/opensearch/knn/index/VectorDataTypeIT.java +++ b/src/test/java/org/opensearch/knn/index/VectorDataTypeIT.java @@ -11,7 +11,6 @@ import org.opensearch.client.Request; import org.opensearch.client.Response; import org.opensearch.client.ResponseException; -import org.opensearch.common.Strings; import org.opensearch.common.settings.Settings; import org.opensearch.common.xcontent.XContentFactory; import org.opensearch.core.xcontent.XContentBuilder; @@ -274,7 +273,7 @@ public void testByteVectorDataTypeWithLegacyFieldMapperKnnIndexSetting() { .endObject() .endObject(); - String mapping = Strings.toString(builder); + String mapping = builder.toString(); ResponseException ex = expectThrows(ResponseException.class, () -> createKnnIndex(INDEX_NAME, mapping)); assertTrue( @@ -484,7 +483,7 @@ private void createKnnIndexMappingWithCustomEngine(int dimension, SpaceType spac .endObject() .endObject(); - String mapping = Strings.toString(builder); + String mapping = builder.toString(); createKnnIndex(INDEX_NAME, mapping); } @@ -500,7 +499,7 @@ private void createKnnIndexMappingForScripting(int dimension, String vectorDataT .endObject() .endObject(); - String mapping = Strings.toString(builder); + String mapping = builder.toString(); createKnnIndex(INDEX_NAME, Settings.EMPTY, mapping); } diff --git a/src/test/java/org/opensearch/knn/index/codec/KNN80Codec/KNN80DocValuesConsumerTests.java b/src/test/java/org/opensearch/knn/index/codec/KNN80Codec/KNN80DocValuesConsumerTests.java index 8fa63a2e3..58f4b6e39 100644 --- a/src/test/java/org/opensearch/knn/index/codec/KNN80Codec/KNN80DocValuesConsumerTests.java +++ b/src/test/java/org/opensearch/knn/index/codec/KNN80Codec/KNN80DocValuesConsumerTests.java @@ -19,7 +19,6 @@ import org.junit.AfterClass; import org.junit.BeforeClass; import org.opensearch.cluster.service.ClusterService; -import org.opensearch.common.Strings; import org.opensearch.common.settings.ClusterSettings; import org.opensearch.common.settings.Settings; import org.opensearch.common.xcontent.XContentFactory; @@ -162,7 +161,7 @@ public void testAddKNNBinaryField_fromScratch_nmslibCurrent() throws IOException new MethodComponentContext(METHOD_HNSW, ImmutableMap.of(METHOD_PARAMETER_M, 16, METHOD_PARAMETER_EF_CONSTRUCTION, 512)) ); - String parameterString = Strings.toString(XContentFactory.jsonBuilder().map(knnEngine.getMethodAsMap(knnMethodContext))); + String parameterString = XContentFactory.jsonBuilder().map(knnEngine.getMethodAsMap(knnMethodContext)).toString(); FieldInfo[] fieldInfoArray = new FieldInfo[] { KNNCodecTestUtil.FieldInfoBuilder.builder(fieldName) @@ -257,7 +256,7 @@ public void testAddKNNBinaryField_fromScratch_faissCurrent() throws IOException new MethodComponentContext(METHOD_HNSW, ImmutableMap.of(METHOD_PARAMETER_M, 16, METHOD_PARAMETER_EF_CONSTRUCTION, 512)) ); - String parameterString = Strings.toString(XContentFactory.jsonBuilder().map(knnEngine.getMethodAsMap(knnMethodContext))); + String parameterString = XContentFactory.jsonBuilder().map(knnEngine.getMethodAsMap(knnMethodContext)).toString(); FieldInfo[] fieldInfoArray = new FieldInfo[] { KNNCodecTestUtil.FieldInfoBuilder.builder(fieldName) diff --git a/src/test/java/org/opensearch/knn/plugin/action/RestKNNStatsHandlerIT.java b/src/test/java/org/opensearch/knn/plugin/action/RestKNNStatsHandlerIT.java index e3b832e8c..411a51c3c 100644 --- a/src/test/java/org/opensearch/knn/plugin/action/RestKNNStatsHandlerIT.java +++ b/src/test/java/org/opensearch/knn/plugin/action/RestKNNStatsHandlerIT.java @@ -14,7 +14,6 @@ import org.opensearch.client.Response; import org.opensearch.client.ResponseException; import org.opensearch.cluster.health.ClusterHealthStatus; -import org.opensearch.common.Strings; import org.opensearch.common.settings.Settings; import org.opensearch.common.unit.TimeValue; import org.opensearch.core.xcontent.XContentBuilder; @@ -459,17 +458,16 @@ public void validateModelCreated(String modelId) throws Exception { // mapping to create index from model public String modelIndexMapping(String fieldName, String modelId) throws IOException { - return Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject(PROPERTIES) - .startObject(fieldName) - .field(VECTOR_TYPE, KNN_VECTOR) - .field(MODEL_ID, modelId) - .endObject() - .endObject() - .endObject() - ); + return XContentFactory.jsonBuilder() + .startObject() + .startObject(PROPERTIES) + .startObject(fieldName) + .field(VECTOR_TYPE, KNN_VECTOR) + .field(MODEL_ID, modelId) + .endObject() + .endObject() + .endObject() + .toString(); } @Override diff --git a/src/test/java/org/opensearch/knn/plugin/script/KNNScriptScoringIT.java b/src/test/java/org/opensearch/knn/plugin/script/KNNScriptScoringIT.java index 2b398245d..1ee7875c6 100644 --- a/src/test/java/org/opensearch/knn/plugin/script/KNNScriptScoringIT.java +++ b/src/test/java/org/opensearch/knn/plugin/script/KNNScriptScoringIT.java @@ -12,7 +12,6 @@ import org.opensearch.client.Request; import org.opensearch.client.Response; import org.opensearch.client.ResponseException; -import org.opensearch.common.Strings; import org.opensearch.common.settings.Settings; import org.opensearch.core.xcontent.ToXContent; import org.opensearch.core.xcontent.XContentBuilder; @@ -282,7 +281,7 @@ public void testKNNInvalidSourceScript() throws Exception { builder.endObject(); Request request = new Request("POST", "/" + INDEX_NAME + "/_search"); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); ResponseException ex = expectThrows(ResponseException.class, () -> client().performRequest(request)); assertThat(EntityUtils.toString(ex.getResponse().getEntity()), containsString("Unknown script name Dummy_source")); } @@ -415,16 +414,15 @@ public void testKNNScoreforNonVectorDocument() throws Exception { @SuppressWarnings("unchecked") public void testHammingScriptScore_Long() throws Exception { createIndex(INDEX_NAME, Settings.EMPTY); - String longMapping = Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject("properties") - .startObject(FIELD_NAME) - .field("type", "long") - .endObject() - .endObject() - .endObject() - ); + String longMapping = XContentFactory.jsonBuilder() + .startObject() + .startObject("properties") + .startObject(FIELD_NAME) + .field("type", "long") + .endObject() + .endObject() + .endObject() + .toString(); putMappingRequest(INDEX_NAME, longMapping); addDocWithNumericField(INDEX_NAME, "0", FIELD_NAME, 8L); @@ -525,17 +523,16 @@ public void testHammingScriptScore_Long() throws Exception { @SuppressWarnings("unchecked") public void testHammingScriptScore_Base64() throws Exception { createIndex(INDEX_NAME, Settings.EMPTY); - String longMapping = Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject("properties") - .startObject(FIELD_NAME) - .field("type", "binary") - .field("doc_values", true) - .endObject() - .endObject() - .endObject() - ); + String longMapping = XContentFactory.jsonBuilder() + .startObject() + .startObject("properties") + .startObject(FIELD_NAME) + .field("type", "binary") + .field("doc_values", true) + .endObject() + .endObject() + .endObject() + .toString(); putMappingRequest(INDEX_NAME, longMapping); addDocWithBinaryField(INDEX_NAME, "0", FIELD_NAME, "AAAAAAAAAAk="); diff --git a/src/test/java/org/opensearch/knn/plugin/script/PainlessScriptIT.java b/src/test/java/org/opensearch/knn/plugin/script/PainlessScriptIT.java index f46ee9847..e2fd536f1 100644 --- a/src/test/java/org/opensearch/knn/plugin/script/PainlessScriptIT.java +++ b/src/test/java/org/opensearch/knn/plugin/script/PainlessScriptIT.java @@ -17,7 +17,6 @@ import org.opensearch.client.Request; import org.opensearch.client.Response; import org.opensearch.client.ResponseException; -import org.opensearch.common.Strings; import org.opensearch.core.xcontent.XContentBuilder; import org.opensearch.common.xcontent.XContentFactory; import org.opensearch.index.query.MatchAllQueryBuilder; @@ -63,7 +62,7 @@ protected String createMapping(List properties) throws IOExcept builder.endObject(); } xContentBuilder.endObject().endObject(); - return Strings.toString(xContentBuilder); + return xContentBuilder.toString(); } /* diff --git a/src/test/java/org/opensearch/knn/plugin/transport/DeleteModelResponseTests.java b/src/test/java/org/opensearch/knn/plugin/transport/DeleteModelResponseTests.java index 626068d13..fcb72795c 100644 --- a/src/test/java/org/opensearch/knn/plugin/transport/DeleteModelResponseTests.java +++ b/src/test/java/org/opensearch/knn/plugin/transport/DeleteModelResponseTests.java @@ -11,7 +11,6 @@ package org.opensearch.knn.plugin.transport; -import org.opensearch.common.Strings; import org.opensearch.common.io.stream.BytesStreamOutput; import org.opensearch.core.xcontent.XContentBuilder; import org.opensearch.common.xcontent.XContentFactory; @@ -40,6 +39,6 @@ public void testXContentWithoutError() throws IOException { String expectedResponseString = "{\"model_id\":\"test-model\",\"result\":\"deleted\"}"; XContentBuilder xContentBuilder = XContentFactory.jsonBuilder(); deleteModelResponse.toXContent(xContentBuilder, null); - assertEquals(expectedResponseString, Strings.toString(xContentBuilder)); + assertEquals(expectedResponseString, xContentBuilder.toString()); } } diff --git a/src/test/java/org/opensearch/knn/plugin/transport/GetModelResponseTests.java b/src/test/java/org/opensearch/knn/plugin/transport/GetModelResponseTests.java index 1d69e02cb..56788840f 100644 --- a/src/test/java/org/opensearch/knn/plugin/transport/GetModelResponseTests.java +++ b/src/test/java/org/opensearch/knn/plugin/transport/GetModelResponseTests.java @@ -11,7 +11,6 @@ package org.opensearch.knn.plugin.transport; -import org.opensearch.common.Strings; import org.opensearch.common.io.stream.BytesStreamOutput; import org.opensearch.core.xcontent.XContentBuilder; import org.opensearch.common.xcontent.XContentFactory; @@ -50,7 +49,7 @@ public void testXContent() throws IOException { "{\"model_id\":\"test-model\",\"model_blob\":\"aGVsbG8=\",\"state\":\"created\",\"timestamp\":\"2021-03-27 10:15:30 AM +05:30\",\"description\":\"test model\",\"error\":\"\",\"space_type\":\"l2\",\"dimension\":4,\"engine\":\"nmslib\"}"; XContentBuilder xContentBuilder = XContentFactory.jsonBuilder(); getModelResponse.toXContent(xContentBuilder, null); - assertEquals(expectedResponseString, Strings.toString(xContentBuilder)); + assertEquals(expectedResponseString, xContentBuilder.toString()); } public void testXContentWithNoModelBlob() throws IOException { @@ -61,6 +60,6 @@ public void testXContentWithNoModelBlob() throws IOException { "{\"model_id\":\"test-model\",\"model_blob\":\"\",\"state\":\"failed\",\"timestamp\":\"2021-03-27 10:15:30 AM +05:30\",\"description\":\"test model\",\"error\":\"\",\"space_type\":\"l2\",\"dimension\":4,\"engine\":\"nmslib\"}"; XContentBuilder xContentBuilder = XContentFactory.jsonBuilder(); getModelResponse.toXContent(xContentBuilder, null); - assertEquals(expectedResponseString, Strings.toString(xContentBuilder)); + assertEquals(expectedResponseString, xContentBuilder.toString()); } } diff --git a/src/test/resources/lang-painless/lang-painless-1.3.0-SNAPSHOT.zip b/src/test/resources/lang-painless/lang-painless-1.3.0-SNAPSHOT.zip new file mode 100644 index 0000000000000000000000000000000000000000..1ea8b8117fba8682ca19e4d7bd09439408f0f632 GIT binary patch literal 1291433 zcmV(`K-0faO9KQ7000OG02)_;Q}hq>KSl!p067N$02}}S0B~$|XK8LNWMy+>a%pgM zZ*neha&K^Da&&2BbA44!Z`?Kzz3W#DyobGbg`@?F!iWR7DbNIH5(AqV-azVvfSD?&*y+!KrEr)_HRBby7~KUJjKto(67&f(178%2TVfP$i_ZRzs6% z#33ddsU=F*5d&GwIIM_rbf~}u zC4NuJc!lQhOq}Z2?EvRt1lKGVQ@U!cy-H=`qkK{$y*eBy{!gm$O6*`pT+^cpeQvi8 zZmPrN_$?YaxyYxXmY0Dq{J`gnk`1ETX+Hq`@XVT%U@pI4L8cyb+Bd;oUB z@`!PN@<9fgJ$B0T^`q41U9kwP9*K`8_B_4iD!xyT&4ve%$~D#)=>UBYIIdO$Ydqv2 zog|-o8QF2bVyjMcRbF8hahwC6sAoX5a1+U]cFXE)ma-<_A$uko}Qu>qQM>CZSj z%|6-KCbuEs3m0EHxJK1>C|j$smp9|i=ND7YcThb&_Nwl;PQplHI(Q&y{NHolCN0{_ zw-9$rQ_eX+%Yx;cQ(j^-XTBWIoSnKJzgh2!?+G&TzGq*WG@~;88d>DwK>pZEqDR%n zhHb(?V9*&uE2ems>9%FB^J1PMaT)GwCdotY1_h6>Zdl zS7cEkOeR%9lbeH)Md=u;JB7xUvI$->J`%Dc>qyl>x4o8r?qJ-YdENsKcTFTZ zL#C@@#%QZ^*9miZS?8<`3`zL7fJ_sL;nPI|Q8I-OizG^B@EGmxHV->^Tx_?Cco(e_ z*lc0BiEpD_w25i;5fFuQ? zPZg~w5DNW_MsZ{sG_|zWzbc_J3P&xS&y{89U)nBS#TT7%-@csQ?J<4-ddxoejQb?r zUAqSg2yGuc)ePyzD|>8T7@-{engE0$D7uUOHVULj3x{A@`kK`A)F{|=&s2BT0pG>5 z2v};c?aS`ZXVcUmHCQrkt?4Ubrt`_`F}WloShH_m`7++;f6$fEVMWZT_BbALqwD|R zP@uac@OwV_15ir?1PTBE2nYa2Sb1n0lEK&M*FXzoRGYfxR{D6y_~q4;*j+YBU&%cH)629a&&9*MpNHa)t2C& zRvgIQ(8cYT?{)P=GLo6F*Xx?y#wh3$ZU^(d*_**DQ28MK!h+V8WT^2K)AK)Dgmry) zuA`qw<5KnNc?dt>qp3LR_M$vQo@*;hJr=4)Y7&)PLbNC=rrRO6iYSy`N@4s}l0-0Nh0gC?(l9?o6ydAMt%|rX^X&CUxD(y+Pf{5Kj@C_Q%^+h73Sn{E%nWx9} zZAmeeZH<3sYHR%~rs5*jY164Rop8;snXI>0NRn9Qn;Djf7$(JTg|JC=&L!SZuKs@P z(tQVsRrz+^xR&bP`@CVkO#TPo5G%)=1a^(Kty@ z82$6Ym(dqgYU=T+E?3Sbb+grS{*-s0I|lpMH6X??lZSHeR>fVR&-?d8Al2=U>(TYc zweYu`dr2$g|eXcpfg8ZFd_AhP#gUz0`9Qib(_{>1|pfnH02k zAohV4!}uVmzEB;m13Uy?trZMW9Si|LxqEQspuw z_2r(yiU;(}XarK|_yD4j`x9u#Gz}I-=tSJjFjP5&hGLn8FJ&fx{a99aQ2RS0Pwz}W z;@=`UVmCl39o@^<6Zi_bbqxU>xKHO67o2wtn*zA&lyr5yQ3sj|>T(TVLfb*Dt~TuS z*+vfIU#L!N`LZLclomQ}ZBH}y6k1|vF-wT0YmJk~LkY`EYEJb?>r5|Bk;0|n<H2^;Ki*X!nu77HQkuw z#b1*E*4Gti%9}%(!LkLgKVH_P8{B=`xE;vn{Nns%!h9eM!LVUCBk@-fXLcHNz%%hZ;evQVzB%~@P zuNhM?8q-&hjYlCUmPi~t@jyGrz3|_ceWdL|ioPUx+zlnFwT_6f{*n0O)H~5TVO@>; 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03sj@V`00@e`C;6F0RV9R2lH_)4h;C< z|6h``nTe~Dm5V2{gT1YliRV8vq(00&&j|^Xd+(nB=<5govVUPH!U6!c#{cZ?`G1`~ z|4f67kx?r+cFoq|hX#~qLj&;sh2{v0@X^!4#ny>~$;s8u#R_P~#KFw@Ap!a@|NL)? zf_F~31v3Odj2{Ak_Ae9&Q51l&Gmy#E#mbh6oB7MXOWPRiBS_W(05*Mq|CLU4K>bJB z#mUU z3iN*fjO~nVJ)N!oBLV9BUk&zp2*B?y2ms>05L7b%oA7T&{_iYI|C22atdYh1|8g=Z X%fWoi0ssKv<81qwX^Rd2^-lf|qy??x literal 0 HcmV?d00001 diff --git a/src/testFixtures/java/org/opensearch/knn/KNNRestTestCase.java b/src/testFixtures/java/org/opensearch/knn/KNNRestTestCase.java index b9d6a8ad3..9779dd94e 100644 --- a/src/testFixtures/java/org/opensearch/knn/KNNRestTestCase.java +++ b/src/testFixtures/java/org/opensearch/knn/KNNRestTestCase.java @@ -10,7 +10,6 @@ import com.google.common.primitives.Floats; import org.apache.commons.lang.StringUtils; import org.apache.hc.core5.http.io.entity.EntityUtils; -import org.opensearch.common.Strings; import org.opensearch.core.common.bytes.BytesReference; import org.opensearch.common.xcontent.XContentHelper; import org.opensearch.core.xcontent.DeprecationHandler; @@ -165,17 +164,16 @@ protected void createKnnIndex(String index, Settings settings, String mapping) t } protected void createBasicKnnIndex(String index, String fieldName, int dimension) throws IOException { - String mapping = Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject("properties") - .startObject(fieldName) - .field("type", "knn_vector") - .field("dimension", Integer.toString(dimension)) - .endObject() - .endObject() - .endObject() - ); + String mapping = XContentFactory.jsonBuilder() + .startObject() + .startObject("properties") + .startObject(fieldName) + .field("type", "knn_vector") + .field("dimension", Integer.toString(dimension)) + .endObject() + .endObject() + .endObject() + .toString(); mapping = mapping.substring(1, mapping.length() - 1); createIndex(index, Settings.EMPTY, mapping); @@ -194,7 +192,7 @@ protected Response searchKNNIndex(String index, KNNQueryBuilder knnQueryBuilder, request.addParameter("size", Integer.toString(resultSize)); request.addParameter("explain", Boolean.toString(true)); request.addParameter("search_type", "query_then_fetch"); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); Response response = client().performRequest(request); assertEquals(request.getEndpoint() + ": failed", RestStatus.OK, RestStatus.fromCode(response.getStatusLine().getStatusCode())); @@ -215,7 +213,7 @@ protected Response searchExists(String index, ExistsQueryBuilder existsQueryBuil builder.endObject(); request.addParameter("size", Integer.toString(resultSize)); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); Response response = client().performRequest(request); assertEquals(request.getEndpoint() + ": failed", RestStatus.OK, RestStatus.fromCode(response.getStatusLine().getStatusCode())); @@ -304,38 +302,36 @@ protected void putMappingRequest(String index, String mapping) throws IOExceptio * Utility to create a Knn Index Mapping */ protected String createKnnIndexMapping(String fieldName, Integer dimensions) throws IOException { - return Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject("properties") - .startObject(fieldName) - .field("type", "knn_vector") - .field("dimension", dimensions.toString()) - .endObject() - .endObject() - .endObject() - ); + return XContentFactory.jsonBuilder() + .startObject() + .startObject("properties") + .startObject(fieldName) + .field("type", "knn_vector") + .field("dimension", dimensions.toString()) + .endObject() + .endObject() + .endObject() + .toString(); } /** * Utility to create a Knn Index Mapping with specific algorithm and engine */ protected String createKnnIndexMapping(String fieldName, Integer dimensions, String algoName, String knnEngine) throws IOException { - return Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject("properties") - .startObject(fieldName) - .field("type", "knn_vector") - .field("dimension", dimensions.toString()) - .startObject("method") - .field("name", algoName) - .field("engine", knnEngine) - .endObject() - .endObject() - .endObject() - .endObject() - ); + return XContentFactory.jsonBuilder() + .startObject() + .startObject("properties") + .startObject(fieldName) + .field("type", "knn_vector") + .field("dimension", dimensions.toString()) + .startObject("method") + .field("name", algoName) + .field("engine", knnEngine) + .endObject() + .endObject() + .endObject() + .endObject() + .toString(); } /** @@ -354,7 +350,7 @@ protected String createKnnIndexMapping(List fieldNames, List di } xContentBuilder.endObject().endObject(); - return Strings.toString(xContentBuilder); + return xContentBuilder.toString(); } /** @@ -416,7 +412,7 @@ protected void addKnnDoc(String index, String docId, String fieldName, Object[] Request request = new Request("POST", "/" + index + "/_doc/" + docId + "?refresh=true"); XContentBuilder builder = XContentFactory.jsonBuilder().startObject().field(fieldName, vector).endObject(); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); client().performRequest(request); request = new Request("POST", "/" + index + "/_refresh"); @@ -436,7 +432,7 @@ protected void addKnnDoc(String index, String docId, List fieldNames, Li } builder.endObject(); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); Response response = client().performRequest(request); assertEquals(request.getEndpoint() + ": failed", RestStatus.CREATED, RestStatus.fromCode(response.getStatusLine().getStatusCode())); } @@ -449,7 +445,7 @@ protected void addDocWithNumericField(String index, String docId, String fieldNa XContentBuilder builder = XContentFactory.jsonBuilder().startObject().field(fieldName, value).endObject(); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); Response response = client().performRequest(request); @@ -464,7 +460,7 @@ protected void addDocWithBinaryField(String index, String docId, String fieldNam XContentBuilder builder = XContentFactory.jsonBuilder().startObject().field(fieldName, base64String).endObject(); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); Response response = client().performRequest(request); @@ -479,7 +475,7 @@ protected void updateKnnDoc(String index, String docId, String fieldName, Object XContentBuilder builder = XContentFactory.jsonBuilder().startObject().field(fieldName, vector).endObject(); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); Response response = client().performRequest(request); assertEquals(request.getEndpoint() + ": failed", RestStatus.OK, RestStatus.fromCode(response.getStatusLine().getStatusCode())); @@ -528,7 +524,7 @@ protected void updateClusterSettings(String settingKey, Object value) throws Exc .endObject() .endObject(); Request request = new Request("PUT", "_cluster/settings"); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); Response response = client().performRequest(request); assertEquals(RestStatus.OK, RestStatus.fromCode(response.getStatusLine().getStatusCode())); } @@ -689,7 +685,7 @@ protected void addModelToSystemIndex(String modelId, ModelMetadata modelMetadata .field(MODEL_ERROR, modelMetadata.getError()) .endObject(); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); Response response = client().performRequest(request); @@ -769,7 +765,7 @@ protected Request constructScriptedMetricAggregationSearchRequest( builder.endObject(); String endpoint = String.format(Locale.getDefault(), "/%s/_search?size=0&filter_path=aggregations", INDEX_NAME); Request request = new Request("POST", endpoint); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); return request; } @@ -792,7 +788,7 @@ protected Request constructScriptScoreContextSearchRequest( builder.endObject(); builder.endObject(); Request request = new Request("POST", "/" + indexName + "/_search"); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); return request; } @@ -808,7 +804,7 @@ protected Request constructKNNScriptQueryRequest(String indexName, QueryBuilder builder.endObject(); builder.endObject(); Request request = new Request("POST", "/" + indexName + "/_search"); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); return request; } @@ -878,7 +874,7 @@ public float[][] getIndexVectorsFromIndex(String testIndex, String testField, in XContentBuilder builder = XContentFactory.jsonBuilder().startObject(); builder.field("query", qb); builder.endObject(); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); Response response = client().performRequest(request); assertEquals(request.getEndpoint() + ": failed", RestStatus.OK, RestStatus.fromCode(response.getStatusLine().getStatusCode())); @@ -958,20 +954,19 @@ protected Settings createKNNIndexCustomLegacyFieldMappingSettings(SpaceType spac } public String createKNNIndexMethodFieldMapping(String fieldName, Integer dimensions) throws IOException { - return Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject(PROPERTIES) - .startObject(fieldName) - .field(VECTOR_TYPE, KNN_VECTOR) - .field(DIMENSION, dimensions.toString()) - .startObject(KNN_METHOD) - .field(NAME, METHOD_HNSW) - .endObject() - .endObject() - .endObject() - .endObject() - ); + return XContentFactory.jsonBuilder() + .startObject() + .startObject(PROPERTIES) + .startObject(fieldName) + .field(VECTOR_TYPE, KNN_VECTOR) + .field(DIMENSION, dimensions.toString()) + .startObject(KNN_METHOD) + .field(NAME, METHOD_HNSW) + .endObject() + .endObject() + .endObject() + .endObject() + .toString(); } public String createKNNIndexCustomMethodFieldMapping( @@ -982,26 +977,25 @@ public String createKNNIndexCustomMethodFieldMapping( Integer m, Integer ef_construction ) throws IOException { - return Strings.toString( - XContentFactory.jsonBuilder() - .startObject() - .startObject(PROPERTIES) - .startObject(fieldName) - .field(VECTOR_TYPE, KNN_VECTOR) - .field(DIMENSION, dimensions.toString()) - .startObject(KNN_METHOD) - .field(NAME, METHOD_HNSW) - .field(METHOD_PARAMETER_SPACE_TYPE, spaceType.getValue()) - .field(KNN_ENGINE, engine) - .startObject(PARAMETERS) - .field(METHOD_PARAMETER_EF_CONSTRUCTION, ef_construction) - .field(METHOD_PARAMETER_M, m) - .endObject() - .endObject() - .endObject() - .endObject() - .endObject() - ); + return XContentFactory.jsonBuilder() + .startObject() + .startObject(PROPERTIES) + .startObject(fieldName) + .field(VECTOR_TYPE, KNN_VECTOR) + .field(DIMENSION, dimensions.toString()) + .startObject(KNN_METHOD) + .field(NAME, METHOD_HNSW) + .field(METHOD_PARAMETER_SPACE_TYPE, spaceType.getValue()) + .field(KNN_ENGINE, engine) + .startObject(PARAMETERS) + .field(METHOD_PARAMETER_EF_CONSTRUCTION, ef_construction) + .field(METHOD_PARAMETER_M, m) + .endObject() + .endObject() + .endObject() + .endObject() + .endObject() + .toString(); } // Default KNN script score settings @@ -1114,7 +1108,7 @@ public Response trainModel( } Request request = new Request("POST", "/_plugins/_knn/models" + modelId + "/_train"); - request.setJsonEntity(Strings.toString(builder)); + request.setJsonEntity(builder.toString()); return client().performRequest(request); } @@ -1331,7 +1325,7 @@ protected void addKnnDocWithAttributes(String docId, float[] vector, Map