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Add very much needed documentation for tools/run_tests/ directory
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#Overview | ||
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This directory contains scripts that facilitate building and running tests. We are using python scripts as entrypoint for our | ||
tests because that gives us the opportunity to run tests using the same commandline regardless of the platform you are using. | ||
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#Unit tests (run_tests.py) | ||
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Builds gRPC in given language and runs unit tests. Use `tools/run_tests/run_tests.py --help` for more help. | ||
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######Example | ||
`tools/run_tests/run_tests.py -l csharp -c dbg` | ||
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######Useful options (among many others) | ||
- `--use_docker` Builds a docker container containing all the prerequisites for given language and runs the tests under that container. | ||
- `--build_only` Only build, do not run the tests. | ||
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#Interop tests (run_interop_tests.py) | ||
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Runs tests for cross-platform/cross-language interoperability. For more details, see [Interop tests descriptions](/doc/interop-test-descriptions.md) | ||
The script is also capable of running interop tests for grpc-java and grpc-go, using sources checked out alongside the ones of the grpc repository. | ||
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######Example | ||
`tools/run_tests/run_interop_tests.py -l csharp -s c++ --use_docker` (run interop tests with C# client and C++ server) | ||
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#Performance benchmarks (run_performance_tests.py) | ||
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Runs predefined benchmark scenarios for given languages. Besides the simple configuration of running all the scenarios locally, | ||
the script also supports orchestrating test runs with client and server running on different machines and uploading the results | ||
to BigQuery. | ||
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######Example | ||
`tools/run_tests/run_peformance_tests.py -l c++ node` | ||
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######Useful options | ||
- `--regex` use regex to select particular scenarios to run. | ||
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#Stress tests (run_stress_tests.py) | ||
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Runs modified interop tests clients and servers under heavy load for an extended period of time to discover potential stability issues. | ||
The tests are internally using Kubernetes to run the client and server on GKE and upload statistics to BigQuery. | ||
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`tools/run_tests/stress_test/run_on_gke.py --gcp_project_id=<google-cloud-platform-project-id> --config_file=<path-to-config-file>` | ||
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The directory `tools/run_tests/stress_test/configs/` contains the config files for several scenarios | ||
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#Artifacts & Packages (task_runner.py) | ||
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A generalized framework for running predefined tasks based on their labels. We use this to building binary artifacts & distrib packages and testing them) | ||
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######Example | ||
`tools/run_tests/task_runner.py -f python artifact linux x64` (build tasks with labels `python`, `artifact`, `linux`, and `x64`) | ||
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