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#!/usr/bin/env python2.7
# Copyright 2015, 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 datetime
import json
import os
import re
import select
import subprocess
import sys
import time
# Import big_query_utils module
bq_utils_dir = os.path.abspath(os.path.join(
os.path.dirname(__file__), '../utils'))
sys.path.append(bq_utils_dir)
import big_query_utils as bq_utils
class EventType:
STARTING = 'STARTING'
RUNNING = 'RUNNING'
SUCCESS = 'SUCCESS'
FAILURE = 'FAILURE'
class BigQueryHelper:
"""Helper class for the stress test wrappers to interact with BigQuery.
"""
def __init__(self, run_id, image_type, pod_name, project_id, dataset_id,
summary_table_id, qps_table_id):
self.run_id = run_id
self.image_type = image_type
self.pod_name = pod_name
self.project_id = project_id
self.dataset_id = dataset_id
self.summary_table_id = summary_table_id
self.qps_table_id = qps_table_id
def initialize(self):
self.bq = bq_utils.create_big_query()
def setup_tables(self):
return bq_utils.create_dataset(self.bq, self.project_id, self.dataset_id) \
and self.__create_summary_table() \
and self.__create_qps_table()
def insert_summary_row(self, event_type, details):
row_values_dict = {
'run_id': self.run_id,
'image_type': self.image_type,
'pod_name': self.pod_name,
'event_date': datetime.datetime.now().isoformat(),
'event_type': event_type,
'details': details
}
# row_unique_id is something that uniquely identifies the row (BigQuery uses
# it for duplicate detection).
row_unique_id = '%s_%s_%s' % (self.run_id, self.pod_name, event_type)
row = bq_utils.make_row(row_unique_id, row_values_dict)
return bq_utils.insert_rows(self.bq, self.project_id, self.dataset_id,
self.summary_table_id, [row])
def insert_qps_row(self, qps, recorded_at):
row_values_dict = {
'run_id': self.run_id,
'pod_name': self.pod_name,
'recorded_at': recorded_at,
'qps': qps
}
# row_unique_id is something that uniquely identifies the row (BigQuery uses
# it for duplicate detection).
row_unique_id = '%s_%s_%s' % (self.run_id, self.pod_name, recorded_at)
row = bq_utils.make_row(row_unique_id, row_values_dict)
return bq_utils.insert_rows(self.bq, self.project_id, self.dataset_id,
self.qps_table_id, [row])
def check_if_any_tests_failed(self, num_query_retries=3, timeout_msec=30000):
query = ('SELECT event_type FROM %s.%s WHERE run_id = \'%s\' AND '
'event_type="%s"') % (self.dataset_id, self.summary_table_id,
self.run_id, EventType.FAILURE)
page = None
try:
query_job = bq_utils.sync_query_job(self.bq, self.project_id, query)
job_id = query_job['jobReference']['jobId']
project_id = query_job['jobReference']['projectId']
page = self.bq.jobs().getQueryResults(
projectId=project_id,
jobId=job_id,
timeoutMs=timeout_msec).execute(num_retries=num_query_retries)
if not page['jobComplete']:
print('TIMEOUT ERROR: The query %s timed out. Current timeout value is'
' %d msec. Returning False (i.e assuming there are no failures)'
) % (query, timeout_msec)
return False
num_failures = int(page['totalRows'])
print 'num rows: ', num_failures
return num_failures > 0
except:
print 'Exception in check_if_any_tests_failed(). Info: ', sys.exc_info()
print 'Query: ', query
def print_summary_records(self, num_query_retries=3):
line = '-' * 120
print line
print 'Summary records'
print 'Run Id: ', self.run_id
print 'Dataset Id: ', self.dataset_id
print line
query = ('SELECT pod_name, image_type, event_type, event_date, details'
' FROM %s.%s WHERE run_id = \'%s\' ORDER by event_date;') % (
self.dataset_id, self.summary_table_id, self.run_id)
query_job = bq_utils.sync_query_job(self.bq, self.project_id, query)
print '{:<25} {:<12} {:<12} {:<30} {}'.format('Pod name', 'Image type',
'Event type', 'Date',
'Details')
print line
page_token = None
while True:
page = self.bq.jobs().getQueryResults(
pageToken=page_token,
**query_job['jobReference']).execute(num_retries=num_query_retries)
rows = page.get('rows', [])
for row in rows:
print '{:<25} {:<12} {:<12} {:<30} {}'.format(row['f'][0]['v'],
row['f'][1]['v'],
row['f'][2]['v'],
row['f'][3]['v'],
row['f'][4]['v'])
page_token = page.get('pageToken')
if not page_token:
break
def print_qps_records(self, num_query_retries=3):
line = '-' * 80
print line
print 'QPS Summary'
print 'Run Id: ', self.run_id
print 'Dataset Id: ', self.dataset_id
print line
query = (
'SELECT pod_name, recorded_at, qps FROM %s.%s WHERE run_id = \'%s\' '
'ORDER by recorded_at;') % (self.dataset_id, self.qps_table_id,
self.run_id)
query_job = bq_utils.sync_query_job(self.bq, self.project_id, query)
print '{:<25} {:30} {}'.format('Pod name', 'Recorded at', 'Qps')
print line
page_token = None
while True:
page = self.bq.jobs().getQueryResults(
pageToken=page_token,
**query_job['jobReference']).execute(num_retries=num_query_retries)
rows = page.get('rows', [])
for row in rows:
print '{:<25} {:30} {}'.format(row['f'][0]['v'], row['f'][1]['v'],
row['f'][2]['v'])
page_token = page.get('pageToken')
if not page_token:
break
def __create_summary_table(self):
summary_table_schema = [
('run_id', 'STRING', 'Test run id'),
('image_type', 'STRING', 'Client or Server?'),
('pod_name', 'STRING', 'GKE pod hosting this image'),
('event_date', 'STRING', 'The date of this event'),
('event_type', 'STRING', 'STARTING/RUNNING/SUCCESS/FAILURE'),
('details', 'STRING', 'Any other relevant details')
]
desc = ('The table that contains STARTING/RUNNING/SUCCESS/FAILURE events '
'for the stress test clients and servers')
return bq_utils.create_table(self.bq, self.project_id, self.dataset_id,
self.summary_table_id, summary_table_schema,
desc)
def __create_qps_table(self):
qps_table_schema = [
('run_id', 'STRING', 'Test run id'),
('pod_name', 'STRING', 'GKE pod hosting this image'),
('recorded_at', 'STRING', 'Metrics recorded at time'),
('qps', 'INTEGER', 'Queries per second')
]
desc = 'The table that cointains the qps recorded at various intervals'
return bq_utils.create_table(self.bq, self.project_id, self.dataset_id,
self.qps_table_id, qps_table_schema, desc)
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