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Intro to Boto: Python Library for AWS APIs

Learn about Boto, the Python client library for interacting with AWS APIs. This presentation provides basic usage examples and tips for interacting with AWS services using Boto. Understand how to create buckets, manage keys, and handle credentials effectively. Discover the importance of the ~/.boto file for improved interactive usage. Explore advanced functions like storing content dynamically and using different connection configurations. Group tasks efficiently with gevent, understand the benefits of greenlets over threads, and learn about lightweight single-core scheduling. Prepare to work with parallel tasks and multipart uploads for optimized performance.

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Intro to Boto: Python Library for AWS APIs

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  1. Intro to Botohttp://boto.cloudhackers.com/ (and gevent, http://www.gevent.org/ ) Presented 2011-07-01 tommi.virtanen@dreamhost.com

  2. What is Boto The Python client library for interacting with AWS APIs. Plural. Tutorial at http://boto.cloudhackers.com/s3_tut.html API reference at http://boto.cloudhackers.com/ref/s3.html This presentation is no substitute for those.

  3. Basic usage >>> import boto.s3 >>> from boto.s3.connection import S3Connection >>> conn = S3Connection('ACCESSKEY', 'SECRET')>>> bucket = conn.create_bucket('mybucket') >>> key = conn.new_key('foo') >>> key.set_contents_from_string('bar')

  4. Buckets and keys bucket = connection.get_bucket(name) bucket = connection.get_bucket(name, validate=False) bucket = connection.create_bucket(name) key = bucket.get_key(name) key = bucket.new_key(name)

  5. ~/.boto can make interactive use nicer chmod go= ~/.boto environment is always public, get rid of bad habits [Credentials] aws_access_key_id = ... aws_secret_access_key = ... >>> from boto.s3.connection import S3Connection >>> conn = S3Connection()

  6. RGW needs special stuff >>> conn = boto.s3.connection.S3Connection( ...   host='localhost', ...   port=7280, ...   is_secure=False, ...   calling_format= ...     boto.s3.connection.OrdinaryCallingFormat(), ...   ) For an example of how to store this in ~/.boto:https://github.com/tv42/s3-url-sign (should submit upstream...)

  7. 640kB should be enough for everyone # store in RAM key.set_contents_from_string(s) s = key.get_contents_as_string() # store in a file key.set_contents_from_filename('/path/to/file.ext') path = os.path.join(tmpdir, 'foo')  key.get_contents_to_filename(path)

  8. Temp files don't need names path = os.path.join(tmpdir, 'foo')  key.get_contents_to_filename(path) with file(path) as f:     firstline = f.readline() os.unlink(path) Better: with tempfile.SpooledTemporaryFile() as f:     key.get_contents_to_file(f)     f.seek(0)     firstline = f.readline() try:     ... finally:     try:         os.unlink(path)     except OSError as e:         if e.errno == errno.ENOENT:             pass         else:             raise

  9. Generate content dynamically (quack like a duck) class CastleOfAaaaaargh(object):     def __init__(self, size):         self.size = size         self.offset = 0     def seek(self, offset):         self.offset = offset     def tell(self):         return self.offset     def read(self, size=-1):         if size < 0:             size = self.size - self.offset         size = min(size, self.size - self.offset)         self.offset += size         return size*'A'

  10. Many hands make light work http://www.gevent.org/ greenlets, not threads; lightweight, single core schedule at IO or sleep >>> from gevent import monkey >>> monkey.patch_all() >>> import gevent >>> g = gevent.spawn(sum, [1, 2, 3]) >>> g.get() 6 >>> sum([1,2,3]) 6

  11. Group/Pool for lots of similar tasks from gevent import monkey; monkey.patch_all() import gevent.pool def plus((a, b)):     return a+b group = gevent.pool.Group() print group.map(     plus,     ((42, x) for x in xrange(100)),     ) [42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141]

  12. Group/Pool for lots of similar tasks from gevent import monkey; monkey.patch_all() import gevent.pool import time def sorter(n):     time.sleep(n/10.0)     return n group = gevent.pool.Group() gen = group.imap_unordered(sorter, xrange(9, 0, -1)) for result in gen:     print result

  13. Write objects in parallel ... and if that doesn't make it go fast enough, do multipart uploads!

  14. Questions? Thank you

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