Add size parameter in neural search benchmark and schedule to run on 2.19.1 version #5611
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…2.19.1 version Signed-off-by: Weijia Zhao <[email protected]>
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rishabh6788
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Jun 27, 2025
| H 5 * * * %BUNDLE_MANIFEST_URL=https://ci.opensearch.org/ci/dbc/distribution-build-opensearch/3.1.0/latest/linux/x64/tar/dist/opensearch/manifest.yml;TEST_WORKLOAD=neural_search;SINGLE_NODE_CLUSTER=false;DATA_NODE_COUNT=3;DATA_INSTANCE_TYPE=r5.2xlarge;USE_50_PERCENT_HEAP=true;USER_TAGS=run-type:nightly,segrep:disabled,arch:x64,instance-type:r5.2xlarge,major-version:3x,cluster-config:x64-r5.2xlarge-3-data-3-shards-0-replica-hybrid;WORKLOAD_PARAMS={"index_name":"quora-dense-embedding","index_body":"indices/quora.json","corpora_name":"quora","default_ingest_pipeline":"nlp-default-ingest-pipeline-dense-embedding","variable_queries":10000,"warmup_time_period":5,"index_knn":true,"k":100,"query_size":100,"ingest_percentage":100};TEST_PROCEDURE=hybrid-search | ||
| H 5 * * * %BUNDLE_MANIFEST_URL=https://ci.opensearch.org/ci/dbc/distribution-build-opensearch/3.1.0/latest/linux/x64/tar/dist/opensearch/manifest.yml;TEST_WORKLOAD=neural_search;SINGLE_NODE_CLUSTER=false;DATA_NODE_COUNT=3;DATA_INSTANCE_TYPE=r5.2xlarge;USE_50_PERCENT_HEAP=true;USER_TAGS=run-type:nightly,segrep:disabled,arch:x64,instance-type:r5.2xlarge,major-version:3x,cluster-config:x64-r5.2xlarge-3-data-3-shards-0-replica-semantic;WORKLOAD_PARAMS={"index_name":"quora-dense-embedding","index_body":"indices/quora.json","corpora_name":"quora","default_ingest_pipeline":"nlp-default-ingest-pipeline-dense-embedding","variable_queries":10000,"warmup_time_period":5,"index_knn":true,"k":100,"query_size":100,"ingest_percentage":100};TEST_PROCEDURE=semantic-search | ||
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| H 6 * * * %BUNDLE_MANIFEST_URL=https://ci.opensearch.org/ci/dbc/distribution-build-opensearch/2.19.1/latest/linux/arm64/tar/dist/opensearch/manifest.yml;TEST_WORKLOAD=neural_search;SINGLE_NODE_CLUSTER=false;DATA_NODE_COUNT=3;DATA_INSTANCE_TYPE=r5.2xlarge;USE_50_PERCENT_HEAP=true;USER_TAGS=run-type:nightly,segrep:disabled,arch:x64,instance-type:r5.2xlarge,major-version:3x,cluster-config:x64-r5.2xlarge-3-data-3-shards-0-replica-sparse;WORKLOAD_PARAMS={"passage_embedding_type":"rank_features","index_name":"quora-sparse-embedding","index_body":"indices/quora.json","corpora_name":"quora","ingest_percentage":100,"variable_queries":10000,"warmup_time_period":5,"query_size":100,"default_ingest_pipeline":"nlp-default-ingest-pipeline-sparse"};TEST_PROCEDURE=sparse-search |
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please change arm64 in the link to x64 for all 2.19 runs.
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We are on 2.19.2 now as latest 2.x right? Why 2.19.1? Thanks. |
Hi @peterzhuamazon, Currently Vector Search is running on 2.19.1, and we want to follow the same |
Signed-off-by: Weijia Zhao <[email protected]>
rishabh6788
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Codecov ReportAll modified and coverable lines are covered by tests ✅
❌ Your project status has failed because the head coverage (0.00%) is below the target coverage (80.00%). You can increase the head coverage or adjust the target coverage. Additional details and impacted files@@ Coverage Diff @@
## main #5611 +/- ##
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…2.19.1 version (#5611) Signed-off-by: Weijia Zhao <[email protected]>
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