diff options
Diffstat (limited to 'tools/run_tests/performance')
| -rw-r--r-- | tools/run_tests/performance/README.md | 106 | ||||
| -rw-r--r-- | tools/run_tests/performance/scenario_config.py | 69 |
2 files changed, 174 insertions, 1 deletions
diff --git a/tools/run_tests/performance/README.md b/tools/run_tests/performance/README.md new file mode 100644 index 0000000000..5fd64f6ee9 --- /dev/null +++ b/tools/run_tests/performance/README.md @@ -0,0 +1,106 @@ +# Overview of performance test suite, with steps for manual runs: + +For design of the tests, see +http://www.grpc.io/docs/guides/benchmarking.html. + +## Pre-reqs for running these manually: +In general the benchmark workers and driver build scripts expect +[linux_performance_worker_init.sh](../../gce/linux_performance_worker_init.sh) to have been ran already. + +### To run benchmarks locally: +* From the grpc repo root, start the +[run_performance_tests.py](../run_performance_tests.py) runner script. + +### On remote machines, to start the driver and workers manually: +The [run_performance_test.py](../run_performance_tests.py) top-level runner script can also +be used with remote machines, but for e.g., profiling the server, +it might be useful to run workers manually. + +1. You'll need a "driver" and separate "worker" machines. +For example, you might use one GCE "driver" machine and 3 other +GCE "worker" machines that are in the same zone. + +2. Connect to each worker machine and start up a benchmark worker with a "driver_port". + * For example, to start the grpc-go benchmark worker: + [grpc-go worker main.go](https://github.com/grpc/grpc-go/blob/master/benchmark/worker/main.go) --driver_port <driver_port> + +#### Comands to start workers in different languages: + * Note that these commands are what the top-level + [run_performance_test.py](../run_performance_tests.py) script uses to + build and run different workers through the + [build_performance.sh](./build_performance.sh) script and "run worker" + scripts (such as the [run_worker_java.sh](./run_worker_java.sh)). + +##### Running benchmark workers for C-core wrapped languages (C++, Python, C#, Node, Ruby): + * These are more simple since they all live in the main grpc repo. + +``` +$ cd <grpc_repo_root> +$ tools/run_tests/performance/build_performance.sh +$ tools/run_tests/performance/run_worker_<language>.sh +``` + + * Note that there is one "run_worker" script per language, e.g., + [run_worker_csharp.sh](./run_worker_csharp.sh) for c#. + +##### Running benchmark workers for gRPC-Java: + * You'll need the [grpc-java](https://github.com/grpc/grpc-java) repo. + +``` +$ cd <grpc-java-repo> +$ ./gradlew -PskipCodegen=true :grpc-benchmarks:installDist +$ benchmarks/build/install/grpc-benchmarks/bin/benchmark_worker --driver_port <driver_port> +``` + +##### Running benchmark workers for gRPC-Go: + * You'll need the [grpc-go repo](https://github.com/grpc/grpc-go) + +``` +$ cd <grpc-go-repo>/benchmark/worker && go install +$ # if profiling, it might be helpful to turn off inlining by building with "-gcflags=-l" +$ $GOPATH/bin/worker --driver_port <driver_port> +``` + +#### Build the driver: +* Connect to the driver machine (if using a remote driver) and from the grpc repo root: +``` +$ tools/run_tests/performance/build_performance.sh +``` + +#### Run the driver: +1. Get the 'scenario_json' relevant for the scenario to run. Note that "scenario + json" configs are generated from [scenario_config.py](./scenario_config.py). + The [driver](../../../test/cpp/qps/qps_json_driver.cc) takes a list of these configs as a json string of the form: `{scenario: <json_list_of_scenarios> }` + in its `--scenarios_json` command argument. + One quick way to get a valid json string to pass to the driver is by running + the [run_performance_tests.py](./run_performance_tests.py) locally and copying the logged scenario json command arg. + +2. From the grpc repo root: + +* Set `QPS_WORKERS` environment variable to a comma separated list of worker +machines. Note that the driver will start the "benchmark server" on the first +entry in the list, and the rest will be told to run as clients against the +benchmark server. + +Example running and profiling of go benchmark server: +``` +$ export QPS_WORKERS=<host1>:<10000>,<host2>,10000,<host3>:10000 +$ bins/opt/qps_json_driver --scenario_json='<scenario_json_scenario_config_string>' +``` + +### Example profiling commands + +While running the benchmark, a profiler can be attached to the server. + +Example to count syscalls in grpc-go server during a benchmark: +* Connect to server machine and run: +``` +$ netstat -tulpn | grep <driver_port> # to get pid of worker +$ perf stat -p <worker_pid> -e syscalls:sys_enter_write # stop after test complete +``` + +Example memory profile of grpc-go server, with `go tools pprof`: +* After a run is done on the server, see its alloc profile with: +``` +$ go tool pprof --text --alloc_space http://localhost:<pprof_port>/debug/heap +``` diff --git a/tools/run_tests/performance/scenario_config.py b/tools/run_tests/performance/scenario_config.py index 1d91b61ba4..af510fe049 100644 --- a/tools/run_tests/performance/scenario_config.py +++ b/tools/run_tests/performance/scenario_config.py @@ -215,6 +215,29 @@ class CXXLanguage: categories=smoketest_categories+[SCALABLE]) yield _ping_pong_scenario( + 'cpp_generic_async_streaming_qps_1channel_1MBmsg_%s' % secstr, + rpc_type='STREAMING', + req_size=1024*1024, + resp_size=1024*1024, + client_type='ASYNC_CLIENT', + server_type='ASYNC_GENERIC_SERVER', + unconstrained_client='async', use_generic_payload=True, + secure=secure, + categories=smoketest_categories+[SCALABLE], + channels=1, outstanding=100) + + yield _ping_pong_scenario( + 'cpp_generic_async_streaming_qps_unconstrained_64KBmsg_%s' % secstr, + rpc_type='STREAMING', + req_size=64*1024, + resp_size=64*1024, + client_type='ASYNC_CLIENT', + server_type='ASYNC_GENERIC_SERVER', + unconstrained_client='async', use_generic_payload=True, + secure=secure, + categories=smoketest_categories+[SCALABLE]) + + yield _ping_pong_scenario( 'cpp_generic_async_streaming_qps_one_server_core_%s' % secstr, rpc_type='STREAMING', client_type='ASYNC_CLIENT', @@ -235,6 +258,19 @@ class CXXLanguage: excluded_poll_engines = ['poll-cv']) yield _ping_pong_scenario( + 'cpp_protobuf_async_client_unary_1channel_64wide_128Breq_8MBresp_%s' % + (secstr), + rpc_type='UNARY', + client_type='ASYNC_CLIENT', + server_type='ASYNC_SERVER', + channels=1, + outstanding=64, + req_size=128, + resp_size=8*1024*1024, + secure=secure, + categories=smoketest_categories + [SCALABLE]) + + yield _ping_pong_scenario( 'cpp_protobuf_async_client_sync_server_streaming_qps_unconstrained_%s' % secstr, rpc_type='STREAMING', client_type='ASYNC_CLIENT', @@ -244,6 +280,13 @@ class CXXLanguage: categories=smoketest_categories+[SCALABLE], excluded_poll_engines = ['poll-cv']) + yield _ping_pong_scenario( + 'cpp_protobuf_async_unary_ping_pong_%s_1mb' % secstr, rpc_type='UNARY', + client_type='ASYNC_CLIENT', server_type='ASYNC_SERVER', + req_size=1024*1024, resp_size=1024*1024, + secure=secure, + categories=smoketest_categories) + for rpc_type in ['unary', 'streaming']: for synchronicity in ['sync', 'async']: yield _ping_pong_scenario( @@ -376,6 +419,12 @@ class CSharpLanguage: unconstrained_client='async', client_language='c++', categories=[SCALABLE]) + yield _ping_pong_scenario( + 'csharp_protobuf_async_unary_ping_pong_1mb', rpc_type='UNARY', + client_type='ASYNC_CLIENT', server_type='ASYNC_SERVER', + req_size=1024*1024, resp_size=1024*1024, + categories=[SMOKETEST]) + def __str__(self): return 'csharp' @@ -413,9 +462,15 @@ class NodeLanguage: yield _ping_pong_scenario( 'cpp_to_node_unary_ping_pong', rpc_type='UNARY', - client_type='ASYNC_CLIENT', server_type='async_server', + client_type='ASYNC_CLIENT', server_type='ASYNC_SERVER', client_language='c++') + yield _ping_pong_scenario( + 'node_protobuf_async_unary_ping_pong_1mb', rpc_type='UNARY', + client_type='ASYNC_CLIENT', server_type='ASYNC_SERVER', + req_size=1024*1024, resp_size=1024*1024, + categories=[SMOKETEST]) + # TODO(murgatroid99): fix bugs with this scenario and re-enable it # yield _ping_pong_scenario( # 'node_protobuf_async_unary_qps_unconstrained', rpc_type='UNARY', @@ -496,6 +551,12 @@ class PythonLanguage: client_type='SYNC_CLIENT', server_type='ASYNC_SERVER', server_language='c++', async_server_threads=1) + yield _ping_pong_scenario( + 'python_protobuf_sync_unary_ping_pong_1mb', rpc_type='UNARY', + client_type='SYNC_CLIENT', server_type='ASYNC_SERVER', + req_size=1024*1024, resp_size=1024*1024, + categories=[SMOKETEST]) + def __str__(self): return 'python' @@ -542,6 +603,12 @@ class RubyLanguage: client_type='SYNC_CLIENT', server_type='SYNC_SERVER', server_language='c++', async_server_threads=1) + yield _ping_pong_scenario( + 'ruby_protobuf_async_unary_ping_pong_1mb', rpc_type='UNARY', + client_type='SYNC_CLIENT', server_type='SYNC_SERVER', + req_size=1024*1024, resp_size=1024*1024, + categories=[SMOKETEST]) + def __str__(self): return 'ruby' |