mirror of
https://github.com/ceph/s3-tests.git
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67f4f5d356
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>
117 lines
3.7 KiB
Python
117 lines
3.7 KiB
Python
from boto.s3.key import Key
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from optparse import OptionParser
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from . import realistic
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import traceback
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import random
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from . import common
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import sys
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def parse_opts():
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parser = OptionParser()
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parser.add_option('-O', '--outfile', help='write output to FILE. Defaults to STDOUT', metavar='FILE')
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parser.add_option('-b', '--bucket', dest='bucket', help='push objects to BUCKET', metavar='BUCKET')
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parser.add_option('--seed', dest='seed', help='optional seed for the random number generator')
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return parser.parse_args()
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def get_random_files(quantity, mean, stddev, seed):
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"""Create file-like objects with pseudorandom contents.
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IN:
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number of files to create
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mean file size in bytes
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standard deviation from mean file size
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seed for PRNG
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OUT:
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list of file handles
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"""
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file_generator = realistic.files(mean, stddev, seed)
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return [file_generator.next() for _ in xrange(quantity)]
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def upload_objects(bucket, files, seed):
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"""Upload a bunch of files to an S3 bucket
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IN:
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boto S3 bucket object
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list of file handles to upload
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seed for PRNG
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OUT:
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list of boto S3 key objects
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"""
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keys = []
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name_generator = realistic.names(15, 4, seed=seed)
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for fp in files:
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print >> sys.stderr, 'sending file with size %dB' % fp.size
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key = Key(bucket)
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key.key = name_generator.next()
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key.set_contents_from_file(fp, rewind=True)
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key.set_acl('public-read')
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keys.append(key)
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return keys
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def _main():
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'''To run the static content load test, make sure you've bootstrapped your
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test environment and set up your config.yaml file, then run the following:
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S3TEST_CONF=config.yaml virtualenv/bin/s3tests-generate-objects.py --seed 1234
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This creates a bucket with your S3 credentials (from config.yaml) and
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fills it with garbage objects as described in the
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file_generation.groups section of config.yaml. It writes a list of
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URLS to those objects to the file listed in file_generation.url_file
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in config.yaml.
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Once you have objcts in your bucket, run the siege benchmarking program:
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siege --rc ./siege.conf -r 5
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This tells siege to read the ./siege.conf config file which tells it to
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use the urls in ./urls.txt and log to ./siege.log. It hits each url in
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urls.txt 5 times (-r flag).
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Results are printed to the terminal and written in CSV format to
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./siege.log
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'''
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(options, args) = parse_opts()
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#SETUP
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random.seed(options.seed if options.seed else None)
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conn = common.s3.main
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if options.outfile:
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OUTFILE = open(options.outfile, 'w')
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elif common.config.file_generation.url_file:
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OUTFILE = open(common.config.file_generation.url_file, 'w')
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else:
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OUTFILE = sys.stdout
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if options.bucket:
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bucket = conn.create_bucket(options.bucket)
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else:
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bucket = common.get_new_bucket()
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bucket.set_acl('public-read')
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keys = []
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print >> OUTFILE, 'bucket: %s' % bucket.name
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print >> sys.stderr, 'setup complete, generating files'
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for profile in common.config.file_generation.groups:
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seed = random.random()
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files = get_random_files(profile[0], profile[1], profile[2], seed)
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keys += upload_objects(bucket, files, seed)
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print >> sys.stderr, 'finished sending files. generating urls'
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for key in keys:
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print >> OUTFILE, key.generate_url(0, query_auth=False)
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print >> sys.stderr, 'done'
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def main():
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common.setup()
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try:
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_main()
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except Exception as e:
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traceback.print_exc()
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common.teardown()
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