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* Poc of pipeline Signed-off-by: conggguan <congguan@amazon.com> * Complete some settings for two phase pipeline. Signed-off-by: conggguan <congguan@amazon.com> * Change the implement of two-phase from QueryBuilderVistor to custom process funciton. Signed-off-by: conggguan <congguan@amazon.com> * Add It and fix some bug on the state of multy same neuralsparsequerybuilder. Signed-off-by: conggguan <congguan@amazon.com> * Simplify some logic, and correct some format. Signed-off-by: conggguan <congguan@amazon.com> * Optimize some format. Signed-off-by: conggguan <congguan@amazon.com> * Add some test case. Signed-off-by: conggguan <congguan@amazon.com> * Optimize some logic for zhichao-aws's comments. Signed-off-by: conggguan <congguan@amazon.com> * Optimize a line without application. Signed-off-by: conggguan <congguan@amazon.com> * Add some comments, remove some redundant lines, fix some format. Signed-off-by: conggguan <congguan@amazon.com> * Remove a redundant null check, fix a if format. Signed-off-by: conggguan <congguan@amazon.com> * Fix a typo for a comment, camelcase format for some variable. Signed-off-by: conggguan <congguan@amazon.com> * Add some comments to illustrate the influence of the modify on 2-phase search pipeline to neural sparse query builder. Signed-off-by: conggguan <congguan@amazon.com> * Add restart and rolling upgrade bwc test for neural sparse two phase processor. Signed-off-by: conggguan <congguan@amazon.com> * Spotless on qa. Signed-off-by: conggguan <congguan@amazon.com> * Update change log for two-phase BWC test. Signed-off-by: conggguan <congguan@amazon.com> * Remove redundant lines of two-phase BWC test. Signed-off-by: conggguan <congguan@amazon.com> * Add changelog. Signed-off-by: conggguan <congguan@amazon.com> * Add the PR link and number for the CHANGELOG.md. Signed-off-by: conggguan <congguan@amazon.com> * [Fix] NeuralSparseTwoPhaseProcessorIT created wrong ingest pipeline, fix it to correct API. Signed-off-by: conggguan <congguan@amazon.com> --------- Signed-off-by: conggguan <congguan@amazon.com> Signed-off-by: conggguan <157357330+conggguan@users.noreply.github.com> (cherry picked from commit b0b5128) Co-authored-by: conggguan <157357330+conggguan@users.noreply.github.com>
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65 changes: 65 additions & 0 deletions
65
...pgrade/src/test/java/org/opensearch/neuralsearch/bwc/NeuralSparseTwoPhaseProcessorIT.java
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/* | ||
* Copyright OpenSearch Contributors | ||
* SPDX-License-Identifier: Apache-2.0 | ||
*/ | ||
package org.opensearch.neuralsearch.bwc; | ||
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import org.opensearch.common.settings.Settings; | ||
import org.opensearch.neuralsearch.query.NeuralSparseQueryBuilder; | ||
import org.opensearch.neuralsearch.util.TestUtils; | ||
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import java.nio.file.Files; | ||
import java.nio.file.Path; | ||
import java.util.List; | ||
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import static org.opensearch.neuralsearch.util.TestUtils.NODES_BWC_CLUSTER; | ||
import static org.opensearch.neuralsearch.util.TestUtils.SPARSE_ENCODING_PROCESSOR; | ||
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public class NeuralSparseTwoPhaseProcessorIT extends AbstractRestartUpgradeRestTestCase { | ||
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private static final String NEURAL_SPARSE_INGEST_PIPELINE_NAME = "nstp-nlp-ingest-pipeline-dense"; | ||
private static final String NEURAL_SPARSE_TWO_PHASE_SEARCH_PIPELINE_NAME = "nstp-nlp-two-phase-search-pipeline-sparse"; | ||
private static final String TEST_ENCODING_FIELD = "passage_embedding"; | ||
private static final String TEST_TEXT_FIELD = "passage_text"; | ||
private static final String TEXT_1 = "Hello world a b"; | ||
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public void testNeuralSparseQueryTwoPhaseProcessor_NeuralSearch_E2EFlow() throws Exception { | ||
waitForClusterHealthGreen(NODES_BWC_CLUSTER); | ||
NeuralSparseQueryBuilder neuralSparseQueryBuilder = new NeuralSparseQueryBuilder().fieldName(TEST_ENCODING_FIELD).queryText(TEXT_1); | ||
if (isRunningAgainstOldCluster()) { | ||
String modelId = uploadSparseEncodingModel(); | ||
loadModel(modelId); | ||
neuralSparseQueryBuilder.modelId(modelId); | ||
createPipelineForSparseEncodingProcessor(modelId, NEURAL_SPARSE_INGEST_PIPELINE_NAME); | ||
createIndexWithConfiguration( | ||
getIndexNameForTest(), | ||
Files.readString(Path.of(classLoader.getResource("processor/SparseIndexMappings.json").toURI())), | ||
NEURAL_SPARSE_INGEST_PIPELINE_NAME | ||
); | ||
addSparseEncodingDoc(getIndexNameForTest(), "0", List.of(), List.of(), List.of(TEST_TEXT_FIELD), List.of(TEXT_1)); | ||
createNeuralSparseTwoPhaseSearchProcessor(NEURAL_SPARSE_TWO_PHASE_SEARCH_PIPELINE_NAME); | ||
updateIndexSettings( | ||
getIndexNameForTest(), | ||
Settings.builder().put("index.search.default_pipeline", NEURAL_SPARSE_TWO_PHASE_SEARCH_PIPELINE_NAME) | ||
); | ||
Object resultWith2PhasePipeline = search(getIndexNameForTest(), neuralSparseQueryBuilder, 1).get("hits"); | ||
assertNotNull(resultWith2PhasePipeline); | ||
} else { | ||
String modelId = null; | ||
try { | ||
modelId = TestUtils.getModelId(getIngestionPipeline(NEURAL_SPARSE_INGEST_PIPELINE_NAME), SPARSE_ENCODING_PROCESSOR); | ||
loadModel(modelId); | ||
neuralSparseQueryBuilder.modelId(modelId); | ||
Object resultWith2PhasePipeline = search(getIndexNameForTest(), neuralSparseQueryBuilder, 1).get("hits"); | ||
assertNotNull(resultWith2PhasePipeline); | ||
} finally { | ||
wipeOfTestResources( | ||
getIndexNameForTest(), | ||
NEURAL_SPARSE_INGEST_PIPELINE_NAME, | ||
modelId, | ||
NEURAL_SPARSE_TWO_PHASE_SEARCH_PIPELINE_NAME | ||
); | ||
} | ||
} | ||
} | ||
} |
16 changes: 16 additions & 0 deletions
16
...tart-upgrade/src/test/resources/processor/NeuralSparseTwoPhaseProcessorConfiguration.json
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{ | ||
"request_processors": [ | ||
{ | ||
"neural_sparse_two_phase_processor": { | ||
"tag": "neural-sparse", | ||
"description": "This processor is making two-phase rescorer.", | ||
"enabled": true, | ||
"two_phase_parameter": { | ||
"prune_ratio": %f, | ||
"expansion_rate": %f, | ||
"max_window_size": %d | ||
} | ||
} | ||
} | ||
] | ||
} |
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78 changes: 78 additions & 0 deletions
78
...pgrade/src/test/java/org/opensearch/neuralsearch/bwc/NeuralSparseTwoPhaseProcessorIT.java
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/* | ||
* Copyright OpenSearch Contributors | ||
* SPDX-License-Identifier: Apache-2.0 | ||
*/ | ||
package org.opensearch.neuralsearch.bwc; | ||
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import org.opensearch.common.settings.Settings; | ||
import org.opensearch.neuralsearch.query.NeuralSparseQueryBuilder; | ||
import org.opensearch.neuralsearch.util.TestUtils; | ||
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import java.nio.file.Files; | ||
import java.nio.file.Path; | ||
import java.util.List; | ||
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import static org.opensearch.neuralsearch.util.TestUtils.NODES_BWC_CLUSTER; | ||
import static org.opensearch.neuralsearch.util.TestUtils.SPARSE_ENCODING_PROCESSOR; | ||
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public class NeuralSparseTwoPhaseProcessorIT extends AbstractRollingUpgradeTestCase { | ||
// add prefix to avoid conflicts with other IT class, since don't wipe resources after first round | ||
private static final String SPARSE_INGEST_PIPELINE_NAME = "nstp-nlp-ingest-pipeline-sparse"; | ||
private static final String SPARSE_SEARCH_TWO_PHASE_PIPELINE_NAME = "nstp-nlp-two-phase-search-pipeline-sparse"; | ||
private static final String TEST_ENCODING_FIELD = "passage_embedding"; | ||
private static final String TEST_TEXT_FIELD = "passage_text"; | ||
private static final String TEXT_1 = "Hello world a b"; | ||
private String sparseModelId = ""; | ||
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// test of NeuralSparseTwoPhaseProcessor supports neural_sparse query's two phase speed up | ||
// the feature is introduced from 2.15 | ||
public void testNeuralSparseTwoPhaseProcessorIT_NeuralSparseSearch_E2EFlow() throws Exception { | ||
waitForClusterHealthGreen(NODES_BWC_CLUSTER); | ||
// will set the model_id after we obtain the id | ||
NeuralSparseQueryBuilder neuralSparseQueryBuilder = new NeuralSparseQueryBuilder().fieldName(TEST_ENCODING_FIELD).queryText(TEXT_1); | ||
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switch (getClusterType()) { | ||
case OLD: | ||
sparseModelId = uploadSparseEncodingModel(); | ||
loadModel(sparseModelId); | ||
neuralSparseQueryBuilder.modelId(sparseModelId); | ||
createPipelineForSparseEncodingProcessor(sparseModelId, SPARSE_INGEST_PIPELINE_NAME); | ||
createIndexWithConfiguration( | ||
getIndexNameForTest(), | ||
Files.readString(Path.of(classLoader.getResource("processor/SparseIndexMappings.json").toURI())), | ||
SPARSE_INGEST_PIPELINE_NAME | ||
); | ||
addSparseEncodingDoc(getIndexNameForTest(), "0", List.of(), List.of(), List.of(TEST_TEXT_FIELD), List.of(TEXT_1)); | ||
createNeuralSparseTwoPhaseSearchProcessor(SPARSE_SEARCH_TWO_PHASE_PIPELINE_NAME); | ||
updateIndexSettings( | ||
getIndexNameForTest(), | ||
Settings.builder().put("index.search.default_pipeline", SPARSE_SEARCH_TWO_PHASE_PIPELINE_NAME) | ||
); | ||
assertNotNull(search(getIndexNameForTest(), neuralSparseQueryBuilder, 1).get("hits")); | ||
break; | ||
case MIXED: | ||
sparseModelId = TestUtils.getModelId(getIngestionPipeline(SPARSE_INGEST_PIPELINE_NAME), SPARSE_ENCODING_PROCESSOR); | ||
loadModel(sparseModelId); | ||
neuralSparseQueryBuilder.modelId(sparseModelId); | ||
assertNotNull(search(getIndexNameForTest(), neuralSparseQueryBuilder, 1).get("hits")); | ||
break; | ||
case UPGRADED: | ||
try { | ||
sparseModelId = TestUtils.getModelId(getIngestionPipeline(SPARSE_INGEST_PIPELINE_NAME), SPARSE_ENCODING_PROCESSOR); | ||
loadModel(sparseModelId); | ||
neuralSparseQueryBuilder.modelId(sparseModelId); | ||
assertNotNull(search(getIndexNameForTest(), neuralSparseQueryBuilder, 1).get("hits")); | ||
} finally { | ||
wipeOfTestResources( | ||
getIndexNameForTest(), | ||
SPARSE_INGEST_PIPELINE_NAME, | ||
sparseModelId, | ||
SPARSE_SEARCH_TWO_PHASE_PIPELINE_NAME | ||
); | ||
} | ||
break; | ||
default: | ||
throw new IllegalStateException("Unexpected value: " + getClusterType()); | ||
} | ||
} | ||
} |
16 changes: 16 additions & 0 deletions
16
...ling-upgrade/src/test/resources/processor/NeuralSparseTwoPhaseProcessorConfiguration.json
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{ | ||
"request_processors": [ | ||
{ | ||
"neural_sparse_two_phase_processor": { | ||
"tag": "neural-sparse", | ||
"description": "This processor is making two-phase rescorer.", | ||
"enabled": true, | ||
"two_phase_parameter": { | ||
"prune_ratio": %f, | ||
"expansion_rate": %f, | ||
"max_window_size": %d | ||
} | ||
} | ||
} | ||
] | ||
} |