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5 | 5 |
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6 | 6 | package org.opensearch.knn.bwc;
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7 | 7 |
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| 8 | +import org.opensearch.common.Strings; |
| 9 | +import org.opensearch.common.xcontent.XContentFactory; |
| 10 | +import org.opensearch.knn.index.SpaceType; |
| 11 | + |
| 12 | +import java.util.Optional; |
| 13 | + |
| 14 | +import static org.opensearch.knn.TestUtils.KNN_ALGO_PARAM_EF_CONSTRUCTION_MIN_VALUE; |
| 15 | +import static org.opensearch.knn.TestUtils.KNN_ALGO_PARAM_M_MIN_VALUE; |
| 16 | +import static org.opensearch.knn.TestUtils.KNN_VECTOR; |
8 | 17 | import static org.opensearch.knn.TestUtils.NODES_BWC_CLUSTER;
|
| 18 | +import static org.opensearch.knn.TestUtils.PROPERTIES; |
| 19 | +import static org.opensearch.knn.TestUtils.VECTOR_TYPE; |
| 20 | +import static org.opensearch.knn.common.KNNConstants.DIMENSION; |
| 21 | +import static org.opensearch.knn.common.KNNConstants.FAISS_NAME; |
| 22 | +import static org.opensearch.knn.common.KNNConstants.KNN_METHOD; |
| 23 | +import static org.opensearch.knn.common.KNNConstants.METHOD_HNSW; |
| 24 | +import static org.opensearch.knn.common.KNNConstants.NAME; |
| 25 | +import static org.opensearch.knn.common.KNNConstants.PARAMETERS; |
9 | 26 |
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10 | 27 | public class IndexingIT extends AbstractRestartUpgradeTestCase {
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11 | 28 | private static final String TEST_FIELD = "test-field";
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12 | 29 | private static final int DIMENSIONS = 5;
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| 30 | + private static int DOC_ID = 0; |
13 | 31 | private static final int K = 5;
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14 |
| - private static final int ADD_DOCS_CNT = 10; |
| 32 | + private static final int M = 50; |
| 33 | + private static final int EF_CONSTRUCTION = 1024; |
| 34 | + private static final int NUM_DOCS = 10; |
| 35 | + private static int QUERY_COUNT = 0; |
15 | 36 |
|
16 |
| - public void testKnnDefaultIndexSettings() throws Exception { |
| 37 | + // Default Legacy Field Mapping |
| 38 | + // space_type : "l2", engine : "nmslib", m : 16, ef_construction : 512 |
| 39 | + public void testKNNIndexDefaultLegacyFieldMapping() throws Exception { |
17 | 40 | waitForClusterHealthGreen(NODES_BWC_CLUSTER);
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18 | 41 |
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19 | 42 | if (isRunningAgainstOldCluster()) {
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20 | 43 | createKnnIndex(testIndex, getKNNDefaultIndexSettings(), createKnnIndexMapping(TEST_FIELD, DIMENSIONS));
|
21 |
| - addKNNDocs(testIndex, TEST_FIELD, DIMENSIONS, 0, ADD_DOCS_CNT); |
| 44 | + addKNNDocs(testIndex, TEST_FIELD, DIMENSIONS, DOC_ID, NUM_DOCS); |
| 45 | + } else { |
| 46 | + validateKNNIndexingOnUpgrade(); |
| 47 | + } |
| 48 | + } |
| 49 | + |
| 50 | + // Custom Legacy Field Mapping |
| 51 | + // space_type : "linf", engine : "nmslib", m : 2, ef_construction : 2 |
| 52 | + public void testKNNIndexCustomLegacyFieldMapping() throws Exception { |
| 53 | + |
| 54 | + // When the cluster is in old version, create a KNN index with custom legacy field mapping settings |
| 55 | + // and add documents into that index |
| 56 | + if (isRunningAgainstOldCluster()) { |
| 57 | + createKnnIndex( |
| 58 | + testIndex, |
| 59 | + createKNNIndexCustomLegacyFieldMappingSettings( |
| 60 | + SpaceType.LINF, |
| 61 | + KNN_ALGO_PARAM_M_MIN_VALUE, |
| 62 | + KNN_ALGO_PARAM_EF_CONSTRUCTION_MIN_VALUE |
| 63 | + ), |
| 64 | + createKnnIndexMapping(TEST_FIELD, DIMENSIONS) |
| 65 | + ); |
| 66 | + addKNNDocs(testIndex, TEST_FIELD, DIMENSIONS, DOC_ID, NUM_DOCS); |
| 67 | + } else { |
| 68 | + validateKNNIndexingOnUpgrade(); |
| 69 | + } |
| 70 | + } |
| 71 | + |
| 72 | + // Default Method Field Mapping |
| 73 | + // space_type : "l2", engine : "nmslib", m : 16, ef_construction : 512 |
| 74 | + public void testKNNIndexDefaultMethodFieldMapping() throws Exception { |
| 75 | + if (isRunningAgainstOldCluster()) { |
| 76 | + createKnnIndex(testIndex, getKNNDefaultIndexSettings(), createKNNIndexMethodFieldMapping(TEST_FIELD, DIMENSIONS)); |
| 77 | + addKNNDocs(testIndex, TEST_FIELD, DIMENSIONS, DOC_ID, NUM_DOCS); |
| 78 | + } else { |
| 79 | + validateKNNIndexingOnUpgrade(); |
| 80 | + } |
| 81 | + } |
| 82 | + |
| 83 | + // Custom Method Field Mapping |
| 84 | + // space_type : "inner_product", engine : "faiss", m : 50, ef_construction : 1024 |
| 85 | + public void testKNNIndexCustomMethodFieldMapping() throws Exception { |
| 86 | + if (isRunningAgainstOldCluster()) { |
| 87 | + createKnnIndex( |
| 88 | + testIndex, |
| 89 | + getKNNDefaultIndexSettings(), |
| 90 | + createKNNIndexCustomMethodFieldMapping(TEST_FIELD, DIMENSIONS, SpaceType.INNER_PRODUCT, FAISS_NAME, M, EF_CONSTRUCTION) |
| 91 | + ); |
| 92 | + addKNNDocs(testIndex, TEST_FIELD, DIMENSIONS, DOC_ID, NUM_DOCS); |
| 93 | + } else { |
| 94 | + validateKNNIndexingOnUpgrade(); |
| 95 | + } |
| 96 | + } |
| 97 | + |
| 98 | + // test null parameters |
| 99 | + public void testNullParametersOnUpgrade() throws Exception { |
| 100 | + |
| 101 | + // Skip test if version is 1.2 or 1.3 |
| 102 | + Optional<String> bwcVersion = getBWCVersion(); |
| 103 | + if (bwcVersion.isEmpty() || bwcVersion.get().startsWith("1.2") || bwcVersion.get().startsWith("1.3")) { |
| 104 | + return; |
| 105 | + } |
| 106 | + if (isRunningAgainstOldCluster()) { |
| 107 | + String mapping = Strings.toString( |
| 108 | + XContentFactory.jsonBuilder() |
| 109 | + .startObject() |
| 110 | + .startObject(PROPERTIES) |
| 111 | + .startObject(TEST_FIELD) |
| 112 | + .field(VECTOR_TYPE, KNN_VECTOR) |
| 113 | + .field(DIMENSION, String.valueOf(DIMENSIONS)) |
| 114 | + .startObject(KNN_METHOD) |
| 115 | + .field(NAME, METHOD_HNSW) |
| 116 | + .field(PARAMETERS, (String) null) |
| 117 | + .endObject() |
| 118 | + .endObject() |
| 119 | + .endObject() |
| 120 | + .endObject() |
| 121 | + ); |
| 122 | + |
| 123 | + createKnnIndex(testIndex, getKNNDefaultIndexSettings(), mapping); |
| 124 | + } else { |
| 125 | + deleteKNNIndex(testIndex); |
| 126 | + } |
| 127 | + } |
| 128 | + |
| 129 | + // test empty parameters |
| 130 | + public void testEmptyParametersOnUpgrade() throws Exception { |
| 131 | + |
| 132 | + // Skip test if version is 1.2 or 1.3 |
| 133 | + Optional<String> bwcVersion = getBWCVersion(); |
| 134 | + if (bwcVersion.isEmpty() || bwcVersion.get().startsWith("1.2") || bwcVersion.get().startsWith("1.3")) { |
| 135 | + return; |
| 136 | + } |
| 137 | + if (isRunningAgainstOldCluster()) { |
| 138 | + String mapping = Strings.toString( |
| 139 | + XContentFactory.jsonBuilder() |
| 140 | + .startObject() |
| 141 | + .startObject(PROPERTIES) |
| 142 | + .startObject(TEST_FIELD) |
| 143 | + .field(VECTOR_TYPE, KNN_VECTOR) |
| 144 | + .field(DIMENSION, String.valueOf(DIMENSIONS)) |
| 145 | + .startObject(KNN_METHOD) |
| 146 | + .field(NAME, METHOD_HNSW) |
| 147 | + .field(PARAMETERS, "") |
| 148 | + .endObject() |
| 149 | + .endObject() |
| 150 | + .endObject() |
| 151 | + .endObject() |
| 152 | + ); |
| 153 | + |
| 154 | + createKnnIndex(testIndex, getKNNDefaultIndexSettings(), mapping); |
22 | 155 | } else {
|
23 |
| - validateKNNSearch(testIndex, TEST_FIELD, DIMENSIONS, 10, K); |
24 |
| - cleanUpCache(); |
25 |
| - addKNNDocs(testIndex, TEST_FIELD, DIMENSIONS, 10, ADD_DOCS_CNT); |
26 |
| - validateKNNSearch(testIndex, TEST_FIELD, DIMENSIONS, 20, K); |
27 |
| - forceMergeKnnIndex(testIndex); |
28 |
| - validateKNNSearch(testIndex, TEST_FIELD, DIMENSIONS, 20, K); |
29 | 156 | deleteKNNIndex(testIndex);
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30 | 157 | }
|
31 | 158 | }
|
| 159 | + |
| 160 | + // test no parameters |
| 161 | + public void testNoParametersOnUpgrade() throws Exception { |
| 162 | + if (isRunningAgainstOldCluster()) { |
| 163 | + String mapping = Strings.toString( |
| 164 | + XContentFactory.jsonBuilder() |
| 165 | + .startObject() |
| 166 | + .startObject(PROPERTIES) |
| 167 | + .startObject(TEST_FIELD) |
| 168 | + .field(VECTOR_TYPE, KNN_VECTOR) |
| 169 | + .field(DIMENSION, String.valueOf(DIMENSIONS)) |
| 170 | + .startObject(KNN_METHOD) |
| 171 | + .field(NAME, METHOD_HNSW) |
| 172 | + .endObject() |
| 173 | + .endObject() |
| 174 | + .endObject() |
| 175 | + .endObject() |
| 176 | + ); |
| 177 | + |
| 178 | + createKnnIndex(testIndex, getKNNDefaultIndexSettings(), mapping); |
| 179 | + } else { |
| 180 | + deleteKNNIndex(testIndex); |
| 181 | + } |
| 182 | + } |
| 183 | + |
| 184 | + // KNN indexing tests when the cluster is upgraded to latest version |
| 185 | + public void validateKNNIndexingOnUpgrade() throws Exception { |
| 186 | + QUERY_COUNT = NUM_DOCS; |
| 187 | + validateKNNSearch(testIndex, TEST_FIELD, DIMENSIONS, QUERY_COUNT, K); |
| 188 | + cleanUpCache(); |
| 189 | + DOC_ID = NUM_DOCS; |
| 190 | + addKNNDocs(testIndex, TEST_FIELD, DIMENSIONS, DOC_ID, NUM_DOCS); |
| 191 | + QUERY_COUNT = QUERY_COUNT + NUM_DOCS; |
| 192 | + validateKNNSearch(testIndex, TEST_FIELD, DIMENSIONS, QUERY_COUNT, K); |
| 193 | + forceMergeKnnIndex(testIndex); |
| 194 | + validateKNNSearch(testIndex, TEST_FIELD, DIMENSIONS, QUERY_COUNT, K); |
| 195 | + deleteKNNIndex(testIndex); |
| 196 | + } |
32 | 197 | }
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