bdbe8ce9f8
The 'log_route' argument of utils.get_logger() determines which global Logger instance is wrapped by the returned LogAdapter. Most middlewares (s3api being the exception) explicity set 'log_route' to equal the middleware 'brief' name e.g. 'bulk', 'tempauth' etc. However, the s3api middleware sets 'log_route' to be the config 'log_name', if that key is found in config. When a proxy pipeline is instantiated via wsgi.run_wsgi(), all middlewares and the proxy app are passed a default conf with '"log_name": "proxy-server"'. As a result, the s3api middleware calls get_logger() with log_route='proxy-server' and its LogAdapter therefore shares the same Logger instance used by proxy-server app (and any other middleware that similarly fails to explicitly differentiate 'log_route)'. Each Logger instance has a StatsdClient instance bound to it by get_logger(). The Related-Change added statsd metrics to the s3api middleware and sets 's3api' as the 'statsd_tail_prefix' when calling get_logger(). This had the unintended effect of replacing the shared Logger instance's StatsdClient with one that has prefix 's3api', such that stats emitted by the proxy app (e.g. memcache shard range hit/miss stats) would be erroneously prefixed with 's3api'. This patch modifies the s3api middleware logger instantiation to explictly set log_route='s3api', so that the s3api middleware LogAdapter now wraps a unique global Logger instance, with a unique StatsdClient instance bound to it. The 'server' attribute of the middleware's LogAdapter, which may be included in log lines by the "%(server)s" format element, is not affected by this change. Its value is derived from the config 'log_name' or the 'name' argument passed to get_logger(). Change-Id: Ia89485bae8f92f4f3d9f5375cab8ff08f70a11a7 Related-Change: I4976b3ee24e4ec498c66359f391813261d42c495 |
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| bin | ||
| doc | ||
| docker | ||
| etc | ||
| examples | ||
| releasenotes | ||
| roles | ||
| swift | ||
| test | ||
| tools | ||
| .alltests | ||
| .coveragerc | ||
| .dockerignore | ||
| .functests | ||
| .gitignore | ||
| .gitreview | ||
| .mailmap | ||
| .manpages | ||
| .probetests | ||
| .stestr.conf | ||
| .unittests | ||
| .zuul.yaml | ||
| AUTHORS | ||
| bandit.yaml | ||
| bindep.txt | ||
| CHANGELOG | ||
| CONTRIBUTING.rst | ||
| Dockerfile | ||
| Dockerfile-py3 | ||
| LICENSE | ||
| lower-constraints.txt | ||
| MANIFEST.in | ||
| py2-constraints.txt | ||
| py36-constraints.txt | ||
| README.rst | ||
| requirements.txt | ||
| REVIEW_GUIDELINES.rst | ||
| setup.cfg | ||
| setup.py | ||
| test-requirements.txt | ||
| tox.ini | ||
OpenStack Swift
OpenStack Swift is 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 https://docs.openstack.org/swift/latest/.
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 run:
pip install -r requirements.txt -r doc/requirements.txt
sphinx-build -W -b html doc/source doc/build/htmland then browse to doc/build/html/index.html. These docs are auto-generated after every commit and available online at https://docs.openstack.org/swift/latest/.
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.
- Unit tests
- Functional tests
- 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.
To fully run the tests, the target environment must use a filesystem
that supports large xattrs. XFS is strongly recommended. For unit tests
and in-process functional tests, either mount /tmp with XFS
or provide another XFS filesystem via the TMPDIR
environment variable. Without this setting, tests should still pass, but
a very large number will be skipped.
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 https://docs.openstack.org/swift/latest/. A good starting point is at https://docs.openstack.org/swift/latest/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 https://opendev.org/openstack/python-swiftclient.
Complete API documentation at https://docs.openstack.org/api-ref/object-store/
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 OFTC.
Thanks,
The Swift Development Team