mirror of https://github.com/milvus-io/milvus.git
39 lines
1.1 KiB
Markdown
39 lines
1.1 KiB
Markdown
# Quick start
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### Description:
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- Test cases can be organized with `yaml `
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- Test can run with local mode or helm mode
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### Demos:
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1. Using jenkins + helm mode:
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
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2. Local test:
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`python3 main.py --local --host=*.* --port=19530 --suite=suites/gpu_search_performance_random50m.yaml`
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### Definitions of test suites:
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Testers need to write test suite config if adding a customizised test into the current test framework
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The following are the searching performance test suite:
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
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1. search_performance: the test type,also we have`build_performance`,`insert_performance`,`accuracy`,`stability`,`search_stability`
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2. tables: list of test cases
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3. The following fields are in the `table` field:
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- server: milvus的server_config
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- table_name: currently support one table
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- run_count: search count
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- search_params: params of search_vectors
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## Test result:
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The result of searching performance
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Test result will be uploaded, and will be used to judge if the test run pass or failed
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