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The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
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121 lines
4.8 KiB
121 lines
4.8 KiB
9 years ago
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#!/usr/bin/env python2.7
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# Copyright 2015-2016, Google Inc.
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# All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are
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# met:
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#
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# * Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above
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# copyright notice, this list of conditions and the following disclaimer
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# in the documentation and/or other materials provided with the
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# distribution.
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# * Neither the name of Google Inc. nor the names of its
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# contributors may be used to endorse or promote products derived from
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# this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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import datetime
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import os
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import select
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import subprocess
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import sys
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import time
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from stress_test_utils import BigQueryHelper
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from stress_test_utils import EventType
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def run_server():
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"""This is a wrapper around the interop server and performs the following:
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1) Create a 'Summary table' in Big Query to record events like the server
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started, completed successfully or failed. NOTE: This also creates
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another table called the QPS table which is currently NOT needed on the
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server (it is needed on the stress test clients)
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2) Start the server process and add a row in Big Query summary table
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3) Wait for the server process to terminate. The server process does not
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terminate unless there is an error.
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If the server process terminated with a failure, add a row in Big Query
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and wait forever.
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NOTE: This script typically runs inside a GKE pod which means that the
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pod gets destroyed when the script exits. However, in case the server
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process fails, we would not want the pod to be destroyed (since we
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might want to connect to the pod for examining logs). This is the
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reason why the script waits forever in case of failures.
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"""
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# Read the parameters from environment variables
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env = dict(os.environ)
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run_id = env['RUN_ID'] # The unique run id for this test
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image_type = env['STRESS_TEST_IMAGE_TYPE']
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image_name = env['STRESS_TEST_IMAGE']
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args_str = env['STRESS_TEST_ARGS_STR']
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pod_name = env['POD_NAME']
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project_id = env['GCP_PROJECT_ID']
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dataset_id = env['DATASET_ID']
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summary_table_id = env['SUMMARY_TABLE_ID']
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qps_table_id = env['QPS_TABLE_ID']
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logfile_name = env.get('LOGFILE_NAME')
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9 years ago
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print('pod_name: %s, project_id: %s, run_id: %s, dataset_id: %s, '
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'summary_table_id: %s, qps_table_id: %s') % (
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pod_name, project_id, run_id, dataset_id, summary_table_id,
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qps_table_id)
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9 years ago
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bq_helper = BigQueryHelper(run_id, image_type, pod_name, project_id,
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dataset_id, summary_table_id, qps_table_id)
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bq_helper.initialize()
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# Create BigQuery Dataset and Tables: Summary Table and Metrics Table
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if not bq_helper.setup_tables():
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print 'Error in creating BigQuery tables'
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return
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start_time = datetime.datetime.now()
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logfile = None
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details = 'Logging to stdout'
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if logfile_name is not None:
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print 'Opening log file: ', logfile_name
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logfile = open(logfile_name, 'w')
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details = 'Logfile: %s' % logfile_name
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# Update status that the test is starting (in the status table)
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bq_helper.insert_summary_row(EventType.STARTING, details)
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stress_cmd = [image_name] + [x for x in args_str.split()]
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print 'Launching process %s ...' % stress_cmd
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stress_p = subprocess.Popen(args=stress_cmd,
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stdout=logfile,
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stderr=subprocess.STDOUT)
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returncode = stress_p.wait()
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if returncode != 0:
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end_time = datetime.datetime.now().isoformat()
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event_type = EventType.FAILURE
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details = 'Returncode: %d; End time: %s' % (returncode, end_time)
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bq_helper.insert_summary_row(event_type, details)
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print 'Waiting indefinitely..'
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select.select([], [], [])
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return returncode
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if __name__ == '__main__':
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run_server()
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