mirror of https://github.com/grpc/grpc.git
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
https://grpc.io/
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52 lines
2.4 KiB
52 lines
2.4 KiB
#Overview |
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This directory contains scripts that facilitate building and running tests. We are using python scripts as entrypoint for our |
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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 |
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`tools/run_tests/run_tests.py -l csharp -c dbg` |
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######Useful options (among many others) |
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- `--use_docker` Builds a docker container containing all the prerequisites for given language and runs the tests under that container. |
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- `--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) |
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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 |
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`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, |
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the script also supports orchestrating test runs with client and server running on different machines and uploading the results |
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to BigQuery. |
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######Example |
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`tools/run_tests/run_peformance_tests.py -l c++ node` |
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######Useful options |
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- `--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. |
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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 |
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`tools/run_tests/task_runner.py -f python artifact linux x64` (build tasks with labels `python`, `artifact`, `linux`, and `x64`) |
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