The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#) https://grpc.io/

History

Jan Tattermusch e2d47e84ac ubuntu1504 and 1510 are past their end of life		7 years ago
..
artifacts	ubuntu1504 and 1510 are past their end of life	7 years ago
build_stats	…
dockerize	make package builds work on kokoro	7 years ago
generated	Abstract libuv implementation	7 years ago
helper_scripts	…
interop	Fix run_android_tests_on_firebase.sh to pass shellcheck	7 years ago
performance	Removing ctiller as owner	7 years ago
python_utils	…
sanity	update third_party/boringssl to the latest chromium-stable	7 years ago
README.md	…
run_build_statistics.py	…
run_interop_tests.py	Fix python script style	7 years ago
run_microbenchmark.py	…
run_performance_tests.py	…
run_tests.py	Abstract libuv implementation	7 years ago
run_tests_matrix.py	Use higher timeout for objc tests	7 years ago
start_port_server.py	…
task_runner.py	…

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.

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)