The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#) https://grpc.io/
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Mehrdad Afshari 1d74fa6748
Merge pull request #15114 from mehrdada/bump-protobuf-submodule-to-3.5.2
7 years ago
..
artifacts Split binary and source distribtests for Python 7 years ago
build_stats cleanup tools/run_tests directory 8 years ago
dockerize make package builds work on kokoro 7 years ago
generated Break out qps services into seperate protos 7 years ago
helper_scripts Upgrade pip for virtualenv Python in build_python.sh 7 years ago
interop Remove scripts for running Android interop on Jenkins 7 years ago
performance Removing ctiller as owner 7 years ago
python_utils use ResultStore URL instead of Sponge for bigquery test results 7 years ago
sanity Update sanity test to validate protobuf 3.5.2 7 years ago
README.md Update unit testing documentation 7 years ago
run_build_statistics.py Upgrade yapf to 0.20.0 7 years ago
run_interop_tests.py add --cloud_to_prod auth interop tests to macos 7 years ago
run_microbenchmark.py Upgrade yapf to 0.20.0 7 years ago
run_performance_tests.py Upgrade yapf to 0.20.0 7 years ago
run_tests.py Initial gevent support 7 years ago
run_tests_matrix.py cleanup configuration for linux sanity tests 7 years ago
start_port_server.py yapf run_tests 7 years ago
task_runner.py yapf run_tests 7 years ago

README.md

Overview

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.

Unit tests (run_tests.py)

Builds gRPC in given language and runs unit tests. Use tools/run_tests/run_tests.py --help for more help.

Example

tools/run_tests/run_tests.py -l csharp -c dbg

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.

Note: some tests may be flaky. Check the "Issues" tab for known flakes and other issues.

The full suite of unit tests will take many minutes to run.

Interop tests (run_interop_tests.py)

Runs tests for cross-platform/cross-language interoperability. For more details, see Interop tests descriptions 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.

Example

tools/run_tests/run_interop_tests.py -l csharp -s c++ --use_docker (run interop tests with C# client and C++ server)

Note: if you see an error like no space left on device when running the interop tests using Docker, make sure that Docker is building the image files in a location with sufficient disk space.

Performance benchmarks (run_performance_tests.py)

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.

Example

tools/run_tests/run_performance_tests.py -l c++ node

Useful options
  • --regex use regex to select particular scenarios to run.

Stress tests (run_stress_tests.py)

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.

tools/run_tests/stress_test/run_on_gke.py --gcp_project_id=<google-cloud-platform-project-id> --config_file=<path-to-config-file>

The directory tools/run_tests/stress_test/configs/ contains the config files for several scenarios

Artifacts & Packages (task_runner.py)

A generalized framework for running predefined tasks based on their labels. We use this to building binary artifacts & distrib packages and testing them)

Example

tools/run_tests/task_runner.py -f python artifact linux x64 (build tasks with labels python, artifact, linux, and x64)