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Craig Tiller 4865c79548 Merge pull request #10613 from ctiller/framing_costs 
Optimize framing a little
 		2017-04-27 14:53:12 -07:00
..
artifacts fix C++ distribtests 2017-04-24 14:22:30 +02:00
build_stats cleanup tools/run_tests directory 2016-12-22 10:47:52 +01:00
dockerize minor changes to get docker building on osx 2017-03-28 18:34:52 -07:00
generated Merge pull request #10522 from jiangtaoli2016/new_tsi 2017-04-27 10:42:33 -07:00
helper_scripts add native grpc class init tests to check that presence of grpc_init calls 2017-04-14 17:58:14 -07:00
interop add http2 server test for unary calls that uses small frames and padding 2017-03-22 13:46:51 -07:00
performance Add Node and Express benchmarks for various response sizes 2017-04-18 11:11:28 -07:00
python_utils Ensure port server can shutdown 2017-04-25 10:19:10 -07:00
sanity Merge github.com:grpc/grpc into framing_costs 2017-04-20 13:01:57 -07:00
stress_test Modify shebang on python scripts 2017-03-12 19:53:12 +01:00
README.md fix markdown 2017-04-18 12:31:49 +02:00
run_build_statistics.py Modify shebang on python scripts 2017-03-12 19:53:12 +01:00
run_interop_tests.py added more tests to 'unimplemented' 2017-04-14 15:08:31 -07:00
run_microbenchmark.py Merge github.com:grpc/grpc into bmdiff2.1.1 2017-03-28 08:25:35 -07:00
run_performance_tests.py Modify shebang on python scripts 2017-03-12 19:53:12 +01:00
run_stress_tests.py Modify shebang on python scripts 2017-03-12 19:53:12 +01:00
run_tests.py Merge github.com:grpc/grpc into c++lame 2017-04-21 08:08:05 -07:00
run_tests_matrix.py Extend time capping to run_tests_matrix scripts 2017-04-21 07:49:57 -07:00
start_port_server.py Make testing scripts python3.x compatible 2017-03-12 17:47:53 +01:00
task_runner.py Modify shebang on python scripts 2017-03-12 19:53:12 +01:00

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_peformance_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)