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diff --git a/tools/run_tests/stress_test/run_stress_tests_on_gke.py b/tools/run_tests/stress_test/run_stress_tests_on_gke.py
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--- a/tools/run_tests/stress_test/run_stress_tests_on_gke.py
+++ /dev/null
@@ -1,556 +0,0 @@
-#!/usr/bin/env python2.7
-# Copyright 2015-2016, Google Inc.
-# All rights reserved.
-#
-# Redistribution and use in source and binary forms, with or without
-# modification, are permitted provided that the following conditions are
-# met:
-#
-# * Redistributions of source code must retain the above copyright
-# notice, this list of conditions and the following disclaimer.
-# * Redistributions in binary form must reproduce the above
-# copyright notice, this list of conditions and the following disclaimer
-# in the documentation and/or other materials provided with the
-# distribution.
-# * Neither the name of Google Inc. nor the names of its
-# contributors may be used to endorse or promote products derived from
-# this software without specific prior written permission.
-#
-# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
-# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
-# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
-# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
-# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
-# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
-# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-import argparse
-import datetime
-import os
-import subprocess
-import sys
-import time
-
-stress_test_utils_dir = os.path.abspath(os.path.join(
- os.path.dirname(__file__), '../../gcp/stress_test'))
-sys.path.append(stress_test_utils_dir)
-from stress_test_utils import BigQueryHelper
-
-kubernetes_api_dir = os.path.abspath(os.path.join(
- os.path.dirname(__file__), '../../gcp/utils'))
-sys.path.append(kubernetes_api_dir)
-
-import kubernetes_api
-
-_GRPC_ROOT = os.path.abspath(os.path.join(
- os.path.dirname(sys.argv[0]), '../../..'))
-os.chdir(_GRPC_ROOT)
-
-# num of seconds to wait for the GKE image to start and warmup
-_GKE_IMAGE_WARMUP_WAIT_SECS = 60
-
-_SERVER_POD_NAME = 'stress-server'
-_CLIENT_POD_NAME_PREFIX = 'stress-client'
-_DATASET_ID_PREFIX = 'stress_test'
-_SUMMARY_TABLE_ID = 'summary'
-_QPS_TABLE_ID = 'qps'
-
-_DEFAULT_DOCKER_IMAGE_NAME = 'grpc_stress_test'
-
-# The default port on which the kubernetes proxy server is started on localhost
-# (i.e kubectl proxy --port=<port>)
-_DEFAULT_KUBERNETES_PROXY_PORT = 8001
-
-# How frequently should the stress client wrapper script (running inside a GKE
-# container) poll the health of the stress client (also running inside the GKE
-# container) and upload metrics to BigQuery
-_DEFAULT_STRESS_CLIENT_POLL_INTERVAL_SECS = 60
-
-# The default setting for stress test server and client
-_DEFAULT_STRESS_SERVER_PORT = 8080
-_DEFAULT_METRICS_PORT = 8081
-_DEFAULT_TEST_CASES_STR = 'empty_unary:1,large_unary:1,client_streaming:1,server_streaming:1,empty_stream:1'
-_DEFAULT_NUM_CHANNELS_PER_SERVER = 5
-_DEFAULT_NUM_STUBS_PER_CHANNEL = 10
-_DEFAULT_METRICS_COLLECTION_INTERVAL_SECS = 30
-
-# Number of stress client instances to launch
-_DEFAULT_NUM_CLIENTS = 3
-
-# How frequently should this test monitor the health of Stress clients and
-# Servers running in GKE
-_DEFAULT_TEST_POLL_INTERVAL_SECS = 60
-
-# Default run time for this test (2 hour)
-_DEFAULT_TEST_DURATION_SECS = 7200
-
-# The number of seconds it would take a GKE pod to warm up (i.e get to 'Running'
-# state from the time of creation). Ideally this is something the test should
-# automatically determine by using Kubernetes API to poll the pods status.
-_DEFAULT_GKE_WARMUP_SECS = 60
-
-
-class KubernetesProxy:
- """ Class to start a proxy on localhost to the Kubernetes API server """
-
- def __init__(self, api_port):
- self.port = api_port
- self.p = None
- self.started = False
-
- def start(self):
- cmd = ['kubectl', 'proxy', '--port=%d' % self.port]
- self.p = subprocess.Popen(args=cmd)
- self.started = True
- time.sleep(2)
- print '..Started'
-
- def get_port(self):
- return self.port
-
- def is_started(self):
- return self.started
-
- def __del__(self):
- if self.p is not None:
- print 'Shutting down Kubernetes proxy..'
- self.p.kill()
-
-
-class TestSettings:
-
- def __init__(self, build_docker_image, test_poll_interval_secs,
- test_duration_secs, kubernetes_proxy_port):
- self.build_docker_image = build_docker_image
- self.test_poll_interval_secs = test_poll_interval_secs
- self.test_duration_secs = test_duration_secs
- self.kubernetes_proxy_port = kubernetes_proxy_port
-
-
-class GkeSettings:
-
- def __init__(self, project_id, docker_image_name):
- self.project_id = project_id
- self.docker_image_name = docker_image_name
- self.tag_name = 'gcr.io/%s/%s' % (project_id, docker_image_name)
-
-
-class BigQuerySettings:
-
- def __init__(self, run_id, dataset_id, summary_table_id, qps_table_id):
- self.run_id = run_id
- self.dataset_id = dataset_id
- self.summary_table_id = summary_table_id
- self.qps_table_id = qps_table_id
-
-
-class StressServerSettings:
-
- def __init__(self, server_pod_name, server_port):
- self.server_pod_name = server_pod_name
- self.server_port = server_port
-
-
-class StressClientSettings:
-
- def __init__(self, num_clients, client_pod_name_prefix, server_pod_name,
- server_port, metrics_port, metrics_collection_interval_secs,
- stress_client_poll_interval_secs, num_channels_per_server,
- num_stubs_per_channel, test_cases_str):
- self.num_clients = num_clients
- self.client_pod_name_prefix = client_pod_name_prefix
- self.server_pod_name = server_pod_name
- self.server_port = server_port
- self.metrics_port = metrics_port
- self.metrics_collection_interval_secs = metrics_collection_interval_secs
- self.stress_client_poll_interval_secs = stress_client_poll_interval_secs
- self.num_channels_per_server = num_channels_per_server
- self.num_stubs_per_channel = num_stubs_per_channel
- self.test_cases_str = test_cases_str
-
- # == Derived properties ==
- # Note: Client can accept a list of server addresses (a comma separated list
- # of 'server_name:server_port'). In this case, we only have one server
- # address to pass
- self.server_addresses = '%s.default.svc.cluster.local:%d' % (
- server_pod_name, server_port)
- self.client_pod_names_list = ['%s-%d' % (client_pod_name_prefix, i)
- for i in range(1, num_clients + 1)]
-
-
-def _build_docker_image(image_name, tag_name):
- """ Build the docker image and add tag it to the GKE repository """
- print 'Building docker image: %s' % image_name
- os.environ['INTEROP_IMAGE'] = image_name
- os.environ['INTEROP_IMAGE_REPOSITORY_TAG'] = tag_name
- # Note that 'BASE_NAME' HAS to be 'grpc_interop_stress_cxx' since the script
- # build_interop_stress_image.sh invokes the following script:
- # tools/dockerfile/$BASE_NAME/build_interop_stress.sh
- os.environ['BASE_NAME'] = 'grpc_interop_stress_cxx'
- cmd = ['tools/jenkins/build_interop_stress_image.sh']
- retcode = subprocess.call(args=cmd)
- if retcode != 0:
- print 'Error in building docker image'
- return False
- return True
-
-
-def _push_docker_image_to_gke_registry(docker_tag_name):
- """Executes 'gcloud docker push <docker_tag_name>' to push the image to GKE registry"""
- cmd = ['gcloud', 'docker', 'push', docker_tag_name]
- print 'Pushing %s to GKE registry..' % docker_tag_name
- retcode = subprocess.call(args=cmd)
- if retcode != 0:
- print 'Error in pushing docker image %s to the GKE registry' % docker_tag_name
- return False
- return True
-
-
-def _launch_server(gke_settings, stress_server_settings, bq_settings,
- kubernetes_proxy):
- """ Launches a stress test server instance in GKE cluster """
- if not kubernetes_proxy.is_started:
- print 'Kubernetes proxy must be started before calling this function'
- return False
-
- # This is the wrapper script that is run in the container. This script runs
- # the actual stress test server
- server_cmd_list = ['/var/local/git/grpc/tools/gcp/stress_test/run_server.py']
-
- # run_server.py does not take any args from the command line. The args are
- # instead passed via environment variables (see server_env below)
- server_arg_list = []
-
- # The parameters to the script run_server.py are injected into the container
- # via environment variables
- server_env = {
- 'STRESS_TEST_IMAGE_TYPE': 'SERVER',
- 'STRESS_TEST_IMAGE': '/var/local/git/grpc/bins/opt/interop_server',
- 'STRESS_TEST_ARGS_STR': '--port=%s' % stress_server_settings.server_port,
- 'RUN_ID': bq_settings.run_id,
- 'POD_NAME': stress_server_settings.server_pod_name,
- 'GCP_PROJECT_ID': gke_settings.project_id,
- 'DATASET_ID': bq_settings.dataset_id,
- 'SUMMARY_TABLE_ID': bq_settings.summary_table_id,
- 'QPS_TABLE_ID': bq_settings.qps_table_id
- }
-
- # Launch Server
- is_success = kubernetes_api.create_pod_and_service(
- 'localhost',
- kubernetes_proxy.get_port(),
- 'default', # Use 'default' namespace
- stress_server_settings.server_pod_name,
- gke_settings.tag_name,
- [stress_server_settings.server_port], # Port that should be exposed
- server_cmd_list,
- server_arg_list,
- server_env,
- True # Headless = True for server. Since we want DNS records to be created by GKE
- )
-
- return is_success
-
-
-def _launch_client(gke_settings, stress_server_settings, stress_client_settings,
- bq_settings, kubernetes_proxy):
- """ Launches a configurable number of stress test clients on GKE cluster """
- if not kubernetes_proxy.is_started:
- print 'Kubernetes proxy must be started before calling this function'
- return False
-
- stress_client_arg_list = [
- '--server_addresses=%s' % stress_client_settings.server_addresses,
- '--test_cases=%s' % stress_client_settings.test_cases_str,
- '--num_stubs_per_channel=%d' %
- stress_client_settings.num_stubs_per_channel
- ]
-
- # This is the wrapper script that is run in the container. This script runs
- # the actual stress client
- client_cmd_list = ['/var/local/git/grpc/tools/gcp/stress_test/run_client.py']
-
- # run_client.py takes no args. All args are passed as env variables (see
- # client_env)
- client_arg_list = []
-
- metrics_server_address = 'localhost:%d' % stress_client_settings.metrics_port
- metrics_client_arg_list = [
- '--metrics_server_address=%s' % metrics_server_address,
- '--total_only=true'
- ]
-
- # The parameters to the script run_client.py are injected into the container
- # via environment variables
- client_env = {
- 'STRESS_TEST_IMAGE_TYPE': 'CLIENT',
- 'STRESS_TEST_IMAGE': '/var/local/git/grpc/bins/opt/stress_test',
- 'STRESS_TEST_ARGS_STR': ' '.join(stress_client_arg_list),
- 'METRICS_CLIENT_IMAGE': '/var/local/git/grpc/bins/opt/metrics_client',
- 'METRICS_CLIENT_ARGS_STR': ' '.join(metrics_client_arg_list),
- 'RUN_ID': bq_settings.run_id,
- 'POLL_INTERVAL_SECS':
- str(stress_client_settings.stress_client_poll_interval_secs),
- 'GCP_PROJECT_ID': gke_settings.project_id,
- 'DATASET_ID': bq_settings.dataset_id,
- 'SUMMARY_TABLE_ID': bq_settings.summary_table_id,
- 'QPS_TABLE_ID': bq_settings.qps_table_id
- }
-
- for pod_name in stress_client_settings.client_pod_names_list:
- client_env['POD_NAME'] = pod_name
- is_success = kubernetes_api.create_pod_and_service(
- 'localhost', # Since proxy is running on localhost
- kubernetes_proxy.get_port(),
- 'default', # default namespace
- pod_name,
- gke_settings.tag_name,
- [stress_client_settings.metrics_port
- ], # Client pods expose metrics port
- client_cmd_list,
- client_arg_list,
- client_env,
- False # Client is not a headless service
- )
- if not is_success:
- print 'Error in launching client %s' % pod_name
- return False
-
- return True
-
-
-def _launch_server_and_client(gke_settings, stress_server_settings,
- stress_client_settings, bq_settings,
- kubernetes_proxy_port):
- # Start kubernetes proxy
- print 'Kubernetes proxy'
- kubernetes_proxy = KubernetesProxy(kubernetes_proxy_port)
- kubernetes_proxy.start()
-
- print 'Launching server..'
- is_success = _launch_server(gke_settings, stress_server_settings, bq_settings,
- kubernetes_proxy)
- if not is_success:
- print 'Error in launching server'
- return False
-
- # Server takes a while to start.
- # TODO(sree) Use Kubernetes API to query the status of the server instead of
- # sleeping
- print 'Waiting for %s seconds for the server to start...' % _GKE_IMAGE_WARMUP_WAIT_SECS
- time.sleep(_GKE_IMAGE_WARMUP_WAIT_SECS)
-
- # Launch client
- client_pod_name_prefix = 'stress-client'
- is_success = _launch_client(gke_settings, stress_server_settings,
- stress_client_settings, bq_settings,
- kubernetes_proxy)
-
- if not is_success:
- print 'Error in launching client(s)'
- return False
-
- print 'Waiting for %s seconds for the client images to start...' % _GKE_IMAGE_WARMUP_WAIT_SECS
- time.sleep(_GKE_IMAGE_WARMUP_WAIT_SECS)
- return True
-
-
-def _delete_server_and_client(stress_server_settings, stress_client_settings,
- kubernetes_proxy_port):
- kubernetes_proxy = KubernetesProxy(kubernetes_proxy_port)
- kubernetes_proxy.start()
-
- # Delete clients first
- is_success = True
- for pod_name in stress_client_settings.client_pod_names_list:
- is_success = kubernetes_api.delete_pod_and_service(
- 'localhost', kubernetes_proxy_port, 'default', pod_name)
- if not is_success:
- return False
-
- # Delete server
- is_success = kubernetes_api.delete_pod_and_service(
- 'localhost', kubernetes_proxy_port, 'default',
- stress_server_settings.server_pod_name)
- return is_success
-
-
-def run_test_main(test_settings, gke_settings, stress_server_settings,
- stress_client_clients):
- is_success = True
-
- if test_settings.build_docker_image:
- is_success = _build_docker_image(gke_settings.docker_image_name,
- gke_settings.tag_name)
- if not is_success:
- return False
-
- is_success = _push_docker_image_to_gke_registry(gke_settings.tag_name)
- if not is_success:
- return False
-
- # Create a unique id for this run (Note: Using timestamp instead of UUID to
- # make it easier to deduce the date/time of the run just by looking at the run
- # run id. This is useful in debugging when looking at records in Biq query)
- run_id = datetime.datetime.now().strftime('%Y_%m_%d_%H_%M_%S')
- dataset_id = '%s_%s' % (_DATASET_ID_PREFIX, run_id)
-
- # Big Query settings (common for both Stress Server and Client)
- bq_settings = BigQuerySettings(run_id, dataset_id, _SUMMARY_TABLE_ID,
- _QPS_TABLE_ID)
-
- bq_helper = BigQueryHelper(run_id, '', '', args.project_id, dataset_id,
- _SUMMARY_TABLE_ID, _QPS_TABLE_ID)
- bq_helper.initialize()
-
- try:
- is_success = _launch_server_and_client(gke_settings, stress_server_settings,
- stress_client_settings, bq_settings,
- test_settings.kubernetes_proxy_port)
- if not is_success:
- return False
-
- start_time = datetime.datetime.now()
- end_time = start_time + datetime.timedelta(
- seconds=test_settings.test_duration_secs)
- print 'Running the test until %s' % end_time.isoformat()
-
- while True:
- if datetime.datetime.now() > end_time:
- print 'Test was run for %d seconds' % test_settings.test_duration_secs
- break
-
- # Check if either stress server or clients have failed
- if bq_helper.check_if_any_tests_failed():
- is_success = False
- print 'Some tests failed.'
- break
-
- # Things seem to be running fine. Wait until next poll time to check the
- # status
- print 'Sleeping for %d seconds..' % test_settings.test_poll_interval_secs
- time.sleep(test_settings.test_poll_interval_secs)
-
- # Print BiqQuery tables
- bq_helper.print_summary_records()
- bq_helper.print_qps_records()
-
- finally:
- # If is_success is False at this point, it means that the stress tests were
- # started successfully but failed while running the tests. In this case we
- # do should not delete the pods (since they contain all the failure
- # information)
- if is_success:
- _delete_server_and_client(stress_server_settings, stress_client_settings,
- test_settings.kubernetes_proxy_port)
-
- return is_success
-
-
-argp = argparse.ArgumentParser(
- description='Launch stress tests in GKE',
- formatter_class=argparse.ArgumentDefaultsHelpFormatter)
-argp.add_argument('--project_id',
- required=True,
- help='The Google Cloud Platform Project Id')
-argp.add_argument('--num_clients',
- default=1,
- type=int,
- help='Number of client instances to start')
-argp.add_argument('--docker_image_name',
- default=_DEFAULT_DOCKER_IMAGE_NAME,
- help='The name of the docker image containing stress client '
- 'and stress servers')
-argp.add_argument('--build_docker_image',
- dest='build_docker_image',
- action='store_true',
- help='Build a docker image and push to Google Container '
- 'Registry')
-argp.add_argument('--do_not_build_docker_image',
- dest='build_docker_image',
- action='store_false',
- help='Do not build and push docker image to Google Container '
- 'Registry')
-argp.set_defaults(build_docker_image=True)
-
-argp.add_argument('--test_poll_interval_secs',
- default=_DEFAULT_TEST_POLL_INTERVAL_SECS,
- type=int,
- help='How frequently should this script should monitor the '
- 'health of stress clients and servers running in the GKE '
- 'cluster')
-argp.add_argument('--test_duration_secs',
- default=_DEFAULT_TEST_DURATION_SECS,
- type=int,
- help='How long should this test be run')
-argp.add_argument('--kubernetes_proxy_port',
- default=_DEFAULT_KUBERNETES_PROXY_PORT,
- type=int,
- help='The port on which the kubernetes proxy (on localhost)'
- ' is started')
-argp.add_argument('--stress_server_port',
- default=_DEFAULT_STRESS_SERVER_PORT,
- type=int,
- help='The port on which the stress server (in GKE '
- 'containers) listens')
-argp.add_argument('--stress_client_metrics_port',
- default=_DEFAULT_METRICS_PORT,
- type=int,
- help='The port on which the stress clients (in GKE '
- 'containers) expose metrics')
-argp.add_argument('--stress_client_poll_interval_secs',
- default=_DEFAULT_STRESS_CLIENT_POLL_INTERVAL_SECS,
- type=int,
- help='How frequently should the stress client wrapper script'
- ' running inside GKE should monitor health of the actual '
- ' stress client process and upload the metrics to BigQuery')
-argp.add_argument('--stress_client_metrics_collection_interval_secs',
- default=_DEFAULT_METRICS_COLLECTION_INTERVAL_SECS,
- type=int,
- help='How frequently should metrics be collected in-memory on'
- ' the stress clients (running inside GKE containers). Note '
- 'that this is NOT the same as the upload-to-BigQuery '
- 'frequency. The metrics upload frequency is controlled by the'
- ' --stress_client_poll_interval_secs flag')
-argp.add_argument('--stress_client_num_channels_per_server',
- default=_DEFAULT_NUM_CHANNELS_PER_SERVER,
- type=int,
- help='The number of channels created to each server from a '
- 'stress client')
-argp.add_argument('--stress_client_num_stubs_per_channel',
- default=_DEFAULT_NUM_STUBS_PER_CHANNEL,
- type=int,
- help='The number of stubs created per channel. This number '
- 'indicates the max number of RPCs that can be made in '
- 'parallel on each channel at any given time')
-argp.add_argument('--stress_client_test_cases',
- default=_DEFAULT_TEST_CASES_STR,
- help='List of test cases (with weights) to be executed by the'
- ' stress test client. The list is in the following format:\n'
- ' <testcase_1:w_1,<test_case2:w_2>..<testcase_n:w_n>\n'
- ' (Note: The weights do not have to add up to 100)')
-
-if __name__ == '__main__':
- args = argp.parse_args()
-
- test_settings = TestSettings(
- args.build_docker_image, args.test_poll_interval_secs,
- args.test_duration_secs, args.kubernetes_proxy_port)
-
- gke_settings = GkeSettings(args.project_id, args.docker_image_name)
-
- stress_server_settings = StressServerSettings(_SERVER_POD_NAME,
- args.stress_server_port)
- stress_client_settings = StressClientSettings(
- args.num_clients, _CLIENT_POD_NAME_PREFIX, _SERVER_POD_NAME,
- args.stress_server_port, args.stress_client_metrics_port,
- args.stress_client_metrics_collection_interval_secs,
- args.stress_client_poll_interval_secs,
- args.stress_client_num_channels_per_server,
- args.stress_client_num_stubs_per_channel, args.stress_client_test_cases)
-
- run_test_main(test_settings, gke_settings, stress_server_settings,
- stress_client_settings)