s3-tests/s3tests_boto3/analysis/rwstats.py
Ali Maredia baec994fc6 boto3: Foundation laid for boto3 tests
Added sample config file for boto3 and vstart.sh

Modified setup.py, requirements.txt, and README

Added an rgw_interactive.py to use interactively
with vstart.sh and python -i

Ported 400+ tests over to boto3 from functional/test_s3.py

Signed-off-by: Ali Maredia <amaredia@redhat.com>
(cherry picked from commit 67f4f5d356)
2019-04-23 11:08:04 -04:00

142 lines
4.5 KiB
Python

#!/usr/bin/python
import sys
import os
import yaml
import optparse
NANOSECONDS = int(1e9)
# Output stats in a format similar to siege
# see http://www.joedog.org/index/siege-home
OUTPUT_FORMAT = """Stats for type: [{type}]
Transactions: {trans:>11} hits
Availability: {avail:>11.2f} %
Elapsed time: {elapsed:>11.2f} secs
Data transferred: {data:>11.2f} MB
Response time: {resp_time:>11.2f} secs
Transaction rate: {trans_rate:>11.2f} trans/sec
Throughput: {data_rate:>11.2f} MB/sec
Concurrency: {conc:>11.2f}
Successful transactions: {trans_success:>11}
Failed transactions: {trans_fail:>11}
Longest transaction: {trans_long:>11.2f}
Shortest transaction: {trans_short:>11.2f}
"""
def parse_options():
usage = "usage: %prog [options]"
parser = optparse.OptionParser(usage=usage)
parser.add_option(
"-f", "--file", dest="input", metavar="FILE",
help="Name of input YAML file. Default uses sys.stdin")
parser.add_option(
"-v", "--verbose", dest="verbose", action="store_true",
help="Enable verbose output")
(options, args) = parser.parse_args()
if not options.input and os.isatty(sys.stdin.fileno()):
parser.error("option -f required if no data is provided "
"in stdin")
return (options, args)
def main():
(options, args) = parse_options()
total = {}
durations = {}
min_time = {}
max_time = {}
errors = {}
success = {}
calculate_stats(options, total, durations, min_time, max_time, errors,
success)
print_results(total, durations, min_time, max_time, errors, success)
def calculate_stats(options, total, durations, min_time, max_time, errors,
success):
print 'Calculating statistics...'
f = sys.stdin
if options.input:
f = file(options.input, 'r')
for item in yaml.safe_load_all(f):
type_ = item.get('type')
if type_ not in ('r', 'w'):
continue # ignore any invalid items
if 'error' in item:
errors[type_] = errors.get(type_, 0) + 1
continue # skip rest of analysis for this item
else:
success[type_] = success.get(type_, 0) + 1
# parse the item
data_size = item['chunks'][-1][0]
duration = item['duration']
start = item['start']
end = start + duration / float(NANOSECONDS)
if options.verbose:
print "[{type}] POSIX time: {start:>18.2f} - {end:<18.2f} " \
"{data:>11.2f} KB".format(
type=type_,
start=start,
end=end,
data=data_size / 1024.0, # convert to KB
)
# update time boundaries
prev = min_time.setdefault(type_, start)
if start < prev:
min_time[type_] = start
prev = max_time.setdefault(type_, end)
if end > prev:
max_time[type_] = end
# save the duration
if type_ not in durations:
durations[type_] = []
durations[type_].append(duration)
# add to running totals
total[type_] = total.get(type_, 0) + data_size
def print_results(total, durations, min_time, max_time, errors, success):
for type_ in total.keys():
trans_success = success.get(type_, 0)
trans_fail = errors.get(type_, 0)
trans = trans_success + trans_fail
avail = trans_success * 100.0 / trans
elapsed = max_time[type_] - min_time[type_]
data = total[type_] / 1024.0 / 1024.0 # convert to MB
resp_time = sum(durations[type_]) / float(NANOSECONDS) / \
len(durations[type_])
trans_rate = trans / elapsed
data_rate = data / elapsed
conc = trans_rate * resp_time
trans_long = max(durations[type_]) / float(NANOSECONDS)
trans_short = min(durations[type_]) / float(NANOSECONDS)
print OUTPUT_FORMAT.format(
type=type_,
trans_success=trans_success,
trans_fail=trans_fail,
trans=trans,
avail=avail,
elapsed=elapsed,
data=data,
resp_time=resp_time,
trans_rate=trans_rate,
data_rate=data_rate,
conc=conc,
trans_long=trans_long,
trans_short=trans_short,
)
if __name__ == '__main__':
main()