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#!/usr/bin/python2
#
# Copyright 2013 Rackspace Australia
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import json
import math
import MySQLdb
import os
import sys
import yaml
def main():
for dataset in ['devstack_131007', 'devstack_150', 'trivial_500',
'trivial_6000', 'user_001', 'user_002']:
process_dataset(dataset)
def process_dataset(dataset):
with open('/etc/turbo-hipster/config.yaml', 'r') as config_stream:
config = yaml.safe_load(config_stream)
db = MySQLdb.connect(host=config['results']['host'],
port=config['results'].get('port', 3306),
user=config['results']['username'],
passwd=config['results']['password'],
db=config['results']['database'])
cursor = db.cursor(MySQLdb.cursors.DictCursor)
migrations = {}
all_times = {}
stats_summary = {}
for engine in ['mysql', 'percona']:
print '%s, %s' % (dataset, engine)
cursor.execute('select distinct(migration) from summary where '
'engine="%s" and dataset="%s" order by migration;'
% (engine, dataset))
migrations_list = []
for row in cursor:
migrations_list.append(row['migration'])
for migration in migrations_list:
all_times.setdefault(migration, [])
cursor.execute('select distinct(duration), count(*) from summary '
'where engine="%s" and dataset="%s" and '
'migration="%s" group by duration;'
% (engine, dataset, migration))
for row in cursor:
for i in range(row['count(*)']):
all_times[migration].append(row['duration'])
cursor.execute('select stats_json from summary where engine="%s" '
'and dataset="%s" and migration="%s" and '
'not (stats_json = "{}");'
% (engine, dataset, migration))
for row in cursor:
stats = json.loads(row['stats_json'])
for key in stats:
stats_summary.setdefault(migration, {})
stats_summary[migration].setdefault(key, {})
stats_summary[migration][key].setdefault(stats[key], 0)
stats_summary[migration][key][stats[key]] += 1
# Composed stats
rows_changed = 0
for key in ['Innodb_rows_updated',
'Innodb_rows_inserted',
'Innodb_rows_deleted']:
rows_changed += stats.get(key, 0)
stats_summary[migration].setdefault('XInnodb_rows_changed', {})
stats_summary[migration]['XInnodb_rows_changed'].setdefault(
rows_changed, 0)
stats_summary[migration]['XInnodb_rows_changed'][rows_changed]\
+= 1
with open('results.txt', 'w') as f:
f.write('Migration,mysql,percona\n')
for migration in sorted(migrations.keys()):
f.write('%s' % migration)
for engine in ['mysql', 'percona']:
f.write(',%s' % migrations[migration].get(engine, ''))
f.write('\n')
# Write out the dataset config as a json blob
config_path = os.path.join('datasets',
'datasets_%s' % dataset,
omg_hard_to_predict_names(dataset))
with open(os.path.join(config_path, 'input.json')) as f:
config = json.loads(f.read())
for migration in sorted(all_times.keys()):
# Timing
config_max = config['maximum_migration_times']['default']
l = len(all_times[migration])
if l > 10:
sorted_all_times = sorted(all_times[migration])
one_percent = int(math.ceil(l / 100))
recommend = sorted_all_times[-one_percent] + 30
if recommend > config_max:
config['maximum_migration_times'][migration] = \
math.ceil(recommend)
# Innodb stats
if migration not in stats_summary:
continue
for stats_key in ['XInnodb_rows_changed', 'Innodb_rows_read']:
config_max = config[stats_key]['default']
values = []
results = stats_summary[migration].get(stats_key, {})
for result in results:
values.append(result)
max_value = max(values)
rounding = max_value % 10000
if max_value > config_max:
config[stats_key][migration] = max_value + (10000 - rounding)
with open(os.path.join(config_path, 'config.json'), 'w') as f:
f.write(json.dumps(config, indent=4, sort_keys=True))
def omg_hard_to_predict_names(dataset):
if dataset.startswith('trivial'):
return 'nova_%s' % dataset
if dataset == 'devstack_150':
return 'datasets_devstack_150'
if dataset == 'devstack_131007':
return '131007_devstack_export'
return dataset
if __name__ == '__main__':
sys.path.insert(0, os.path.abspath(
os.path.join(os.path.dirname(__file__), '../')))
main()
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