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

History

David G. Quintas e1d91cfd58 Merge pull request #13208 from dgquintas/lb_poll2 Make the BG poller poll very frequently in LB tests		7 years ago
..
artifacts	…
build_stats	…
dockerize	print timing for docker pull	7 years ago
generated	Merge pull request #13208 from dgquintas/lb_poll2	7 years ago
helper_scripts	…
interop	…
performance	Create inproc version of QPS test and add a few simple tests of this to standard testing suite.	7 years ago
python_utils	Merge github.com:grpc/grpc into verify	7 years ago
sanity	Add call size bm_diff	7 years ago
README.md	…
run_build_statistics.py	…
run_interop_tests.py	Merge pull request #13043 from murgatroid99/grpc-node_interop	7 years ago
run_microbenchmark.py	…
run_performance_tests.py	…
run_tests.py	use reasonable multiplier values	7 years ago
run_tests_matrix.py	…
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)