Alistair Coles f679ed0cc8 Make container sync copy SLO manifests
Currently the container sync daemon fails to copy
an SLO manifest, and the error will stall progress
of the sync process on that container. There are
several reasons why the sync of an SLO manifest
may fail:

1. The GET of the manifest from the source
   container returns an X-Static-Large-Object header
   that is not allowed to be included with a PUT
   to the destination container.

2. The format of the manifest object that is read
   from the source is not in the syntax required
   for a SLO manifest PUT.

3. Assuming 2 were fixed, the PUT of the manifest
   includes an ETag header which will not match the
   md5 of the manifest generated by the receiving
   proxy's SLO middleware.

4. If the manifest is being synced to a different
   account and/or cluster, then the SLO segments may
   not have been synced and so the validation of the
   PUT manifest will fail.

This patch addresses all of these obstacles by
enabling the destination container-sync middleware to
cause the SLO middleware to be bypassed by setting a
swift.slo_override flag in the request environ. This
flag is only set for request that have been validated
as originating from a container sync peer.

This is justifed by noting that a SLO manifest PUT from
a container sync peer can be assumed to have valid syntax
because it was already been validated when written to
the source container.

Furthermore, we must allow SLO manifests to be synced
without requiring the semantic of their content to be
re-validated because we have no way to enforce or check
that segments have been synced prior to the manifest, nor
to check that the semantic of the manifest is still valid
at the source.

This does mean that GETs to synced SLO manifests may fail
if segments have not been synced. This is however
consistent with the expectation for synced DLO manifests
and indeed for the source SLO manifest if segments have
been deleted since it was written.

Co-Authored-By: Oshrit Feder <oshritf@il.ibm.com>
Change-Id: I8d503419b7996721a671ed6b2795224775a7d8c6
Closes-Bug: #1605597
2016-09-14 13:32:00 +01:00
2016-09-02 20:21:57 +00:00
2013-09-17 11:46:04 +10:00
2016-03-22 11:53:49 +00:00
2016-06-09 11:22:37 -07:00
2016-05-05 22:02:47 -07:00
2016-08-01 15:43:25 +00:00
2016-07-08 07:56:16 +00:00
2014-05-21 09:37:22 -07:00

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

Getting Started

Swift is part of OpenStack and follows the code contribution, review, and testing processes common to all OpenStack projects.

If you would like to start contributing, check out these notes to help you get started.

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.

Tests

There are three types of tests included in Swift's source tree.

  1. Unit tests
  2. Functional tests
  3. Probe tests

Unit tests check that small sections of the code behave properly. For example, a unit test may test a single function to ensure that various input gives the expected output. This validates that the code is correct and regressions are not introduced.

Functional tests check that the client API is working as expected. These can be run against any endpoint claiming to support the Swift API (although some tests require multiple accounts with different privilege levels). These are "black box" tests that ensure that client apps written against Swift will continue to work.

Probe tests are "white box" tests that validate the internal workings of a Swift cluster. They are written to work against the "SAIO - Swift All In One" dev environment. For example, a probe test may create an object, delete one replica, and ensure that the background consistency processes find and correct the error.

You can run unit tests with .unittests, functional tests with .functests, and probe tests with .probetests. There is an additional .alltests script that wraps the other three.

Code Organization

  • bin/: Executable scripts that are the processes run by the deployer
  • doc/: Documentation
  • etc/: Sample config files
  • examples/: Config snippets used in the docs
  • swift/: Core code
    • account/: account server
    • cli/: code that backs some of the CLI tools in bin/
    • common/: code shared by different modules
      • middleware/: "standard", officially-supported middleware
      • ring/: code implementing Swift's ring
    • container/: container server
    • locale/: internationalization (translation) data
    • obj/: object server
    • proxy/: proxy server
  • test/: Unit, functional, and probe 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

There is an ops runbook that gives information about how to diagnose and troubleshoot common issues when running a Swift cluster.

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/

There is a large ecosystem of applications and libraries that support and work with OpenStack Swift. Several are listed on the associated projects page.


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

Thanks,

The Swift Development Team

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OpenStack Storage (Swift)
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