Go to file
Peter Portante 023a061587 Tie socket write buffer size to server parameters
By default, Python 2.*'s standard library "socket" module performs 8K
writes. For 10ge networks, with large MTUs (typically 9,000), this is
not optimal. We tie the default buffer size to the client_chunk_size
paramter for the proxy server, and to the network_chunk_size for the
object server.

One might be tempted to ask, isn't there a way to set this value on a
per-request basis? This author was unable to find a reference to the
_fileobject in the context of WSGI. By the time a request pass to a
WSGI object's __call__ method, the "wfile" attribute of the
req.environ['eventlet.input'] (Input) object has been set to None, and
the "rfile" attribute is the object wrapping the socket for reading,
not writing.

One might also be tempted to ask, why not just override the
wsgi.HttpProtocol's "wbufsize" class attribute instead? Until
eventlet/wsgi.py is fixed, we can't set wsgi.HttpProtocol.wbufsize to
anything but zero (the default, see Python's SocketServer.py,
StreamRequestHandler class), since Eventlet does not ensure the socket
_fileobject's flush() method is called after Eventlet invokes a
write() method on the same.  NOTE: wbufsize (a class attribute of
StreamRequestHandler originally, not to be confused with the standard
library's socket._fileobject._wbufsize class attribute) is used for
the bufsize parameter of the connection object's makefile() method. As
a result, the socket's _fileobject code uses that value to set both
_rbufsize and _wbufsize. While that would allow us to transmit in 64KB
chunks, it also means that write() and writeline() method calls on the
socket _fileobject are only transmitted once 64KB have been
accumulated, or a flush() is called.

As for performance improvement:

Run       8KB   64KB
  0     8.101  6.367
  1     7.892  6.216
  2     7.732  6.246
  3     7.594  6.229
  4     7.594  6.292
  5     7.555  6.230
  6     7.575  6.270
  7     7.528  6.278
  8     7.547  6.304
  9     7.550  6.313
Average 7.667  6.275  1.3923  18.16%

Run using the following after adjusting the test value for obj_len to
1 GB:

nosetests -v --nocapture --nologcapture \
test/unit/proxy/test_server.py:TestProxyObjectPerformance.test_GET_debug_large_file

Change-Id: I4dd93acc3376e9960fbdcdcae00c6d002e545894
Signed-off-by: Peter Portante <peter.portante@redhat.com>
2013-10-30 11:32:09 -04:00
2013-09-17 11:46:04 +10:00
2012-12-07 14:08:49 -08:00
2013-10-25 16:29:16 +08:00
2013-06-10 10:30:40 -04:00
2012-11-21 11:23:15 -08:00
2013-10-07 22:27:34 -07:00
2013-08-14 19:10:07 -03:00
2013-08-14 19:10:07 -03:00
2013-07-15 11:41:58 +02:00

Swift

A distributed object storage system designed to scale from a single machine to thousands of servers. Swift is optimized for multi-tenancy and high concurrency. Swift is ideal for backups, web and mobile content, and any other unstructured data that can grow without bound.

Swift provides a simple, REST-based API fully documented at http://docs.openstack.org/.

Swift was originally developed as the basis for Rackspace's Cloud Files and was open-sourced in 2010 as part of the OpenStack project. It has since grown to include contributions from many companies and has spawned a thriving ecosystem of 3rd party tools. Swift's contributors are listed in the AUTHORS file.

Docs

To build documentation install sphinx (pip install sphinx), run python setup.py build_sphinx, and then browse to /doc/build/html/index.html. These docs are auto-generated after every commit and available online at http://docs.openstack.org/developer/swift/.

For Developers

The best place to get started is the "SAIO - Swift All In One". This document will walk you through setting up a development cluster of Swift in a VM. The SAIO environment is ideal for running small-scale tests against swift and trying out new features and bug fixes.

You can run unit tests with .unittests and functional tests with .functests.

Code Organization

  • bin/: Executable scripts that are the processes run by the deployer
  • doc/: Documentation
  • etc/: Sample config files
  • swift/: Core code
    • account/: account server
    • common/: code shared by different modules
      • middleware/: "standard", officially-supported middleware
      • ring/: code implementing Swift's ring
    • container/: container server
    • obj/: object server
    • proxy/: proxy server
  • test/: Unit and functional tests

Data Flow

Swift is a WSGI application and uses eventlet's WSGI server. After the processes are running, the entry point for new requests is the Application class in swift/proxy/server.py. From there, a controller is chosen, and the request is processed. The proxy may choose to forward the request to a back- end server. For example, the entry point for requests to the object server is the ObjectController class in swift/obj/server.py.

For Deployers

Deployer docs are also available at http://docs.openstack.org/developer/swift/. A good starting point is at http://docs.openstack.org/developer/swift/deployment_guide.html

You can run functional tests against a swift cluster with .functests. These functional tests require /etc/swift/test.conf to run. A sample config file can be found in this source tree in test/sample.conf.

For Client Apps

For client applications, official Python language bindings are provided at http://github.com/openstack/python-swiftclient.

Complete API documentation at http://docs.openstack.org/api/openstack-object-storage/1.0/content/


For more information come hang out in #openstack-swift on freenode.

Thanks,

The Swift Development Team

Description
OpenStack Storage (Swift)
Readme 204 MiB
Languages
Python 99.6%
JavaScript 0.3%