switch to vndr

vndr is almost exactly the same as our old good hack/vendor.sh. Except
it's cleaner and it allows to re-vendor just one dependency if needed
(which we do a lot for containers/image).

Signed-off-by: Antonio Murdaca <runcom@redhat.com>
This commit is contained in:
Antonio Murdaca
2017-01-09 16:38:21 +01:00
parent bbc0c69624
commit fefeeb4c70
119 changed files with 4340 additions and 40236 deletions

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@@ -1,37 +0,0 @@
# Compiled Object files, Static and Dynamic libs (Shared Objects)
*.o
*.a
*.so
# Folders
_obj
_test
# Architecture specific extensions/prefixes
*.[568vq]
[568vq].out
*.cgo1.go
*.cgo2.c
_cgo_defun.c
_cgo_gotypes.go
_cgo_export.*
_testmain.go
*.exe
*.test
*.prof
# never checkin from the bin file (for now)
bin/*
# Test key files
*.pem
# Cover profiles
*.out
# Editor/IDE specific files.
*.sublime-project
*.sublime-workspace

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@@ -1,18 +0,0 @@
Stephen J Day <stephen.day@docker.com> Stephen Day <stevvooe@users.noreply.github.com>
Stephen J Day <stephen.day@docker.com> Stephen Day <stevvooe@gmail.com>
Olivier Gambier <olivier@docker.com> Olivier Gambier <dmp42@users.noreply.github.com>
Brian Bland <brian.bland@docker.com> Brian Bland <r4nd0m1n4t0r@gmail.com>
Brian Bland <brian.bland@docker.com> Brian Bland <brian.t.bland@gmail.com>
Josh Hawn <josh.hawn@docker.com> Josh Hawn <jlhawn@berkeley.edu>
Richard Scothern <richard.scothern@docker.com> Richard <richard.scothern@gmail.com>
Richard Scothern <richard.scothern@docker.com> Richard Scothern <richard.scothern@gmail.com>
Andrew Meredith <andymeredith@gmail.com> Andrew Meredith <kendru@users.noreply.github.com>
harche <p.harshal@gmail.com> harche <harche@users.noreply.github.com>
Jessie Frazelle <jessie@docker.com> <jfrazelle@users.noreply.github.com>
Sharif Nassar <sharif@mrwacky.com> Sharif Nassar <mrwacky42@users.noreply.github.com>
Sven Dowideit <SvenDowideit@home.org.au> Sven Dowideit <SvenDowideit@users.noreply.github.com>
Vincent Giersch <vincent.giersch@ovh.net> Vincent Giersch <vincent@giersch.fr>
davidli <wenquan.li@hp.com> davidli <wenquan.li@hpe.com>
Omer Cohen <git@omer.io> Omer Cohen <git@omerc.net>
Eric Yang <windfarer@gmail.com> Eric Yang <Windfarer@users.noreply.github.com>
Nikita Tarasov <nikita@mygento.ru> Nikita <luckyraul@users.noreply.github.com>

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@@ -1,147 +0,0 @@
Aaron Lehmann <aaron.lehmann@docker.com>
Aaron Schlesinger <aschlesinger@deis.com>
Aaron Vinson <avinson.public@gmail.com>
Adam Enger <adamenger@gmail.com>
Adrian Mouat <adrian.mouat@gmail.com>
Ahmet Alp Balkan <ahmetalpbalkan@gmail.com>
Alex Chan <alex.chan@metaswitch.com>
Alex Elman <aelman@indeed.com>
Alexey Gladkov <gladkov.alexey@gmail.com>
allencloud <allen.sun@daocloud.io>
amitshukla <ashukla73@hotmail.com>
Amy Lindburg <amy.lindburg@docker.com>
Andrew Hsu <andrewhsu@acm.org>
Andrew Meredith <andymeredith@gmail.com>
Andrew T Nguyen <andrew.nguyen@docker.com>
Andrey Kostov <kostov.andrey@gmail.com>
Andy Goldstein <agoldste@redhat.com>
Anis Elleuch <vadmeste@gmail.com>
Anton Tiurin <noxiouz@yandex.ru>
Antonio Mercado <amercado@thinknode.com>
Antonio Murdaca <runcom@redhat.com>
Arien Holthuizen <aholthuizen@schubergphilis.com>
Arnaud Porterie <arnaud.porterie@docker.com>
Arthur Baars <arthur@semmle.com>
Asuka Suzuki <hello@tanksuzuki.com>
Avi Miller <avi.miller@oracle.com>
Ayose Cazorla <ayosec@gmail.com>
BadZen <dave.trombley@gmail.com>
Ben Firshman <ben@firshman.co.uk>
bin liu <liubin0329@gmail.com>
Brian Bland <brian.bland@docker.com>
burnettk <burnettk@gmail.com>
Carson A <ca@carsonoid.net>
Chris Dillon <squarism@gmail.com>
cyli <cyli@twistedmatrix.com>
Daisuke Fujita <dtanshi45@gmail.com>
Daniel Huhn <daniel@danielhuhn.de>
Darren Shepherd <darren@rancher.com>
Dave Trombley <dave.trombley@gmail.com>
Dave Tucker <dt@docker.com>
David Lawrence <david.lawrence@docker.com>
David Verhasselt <david@crowdway.com>
David Xia <dxia@spotify.com>
davidli <wenquan.li@hp.com>
Dejan Golja <dejan@golja.org>
Derek McGowan <derek@mcgstyle.net>
Diogo Mónica <diogo.monica@gmail.com>
DJ Enriquez <dj.enriquez@infospace.com>
Donald Huang <don.hcd@gmail.com>
Doug Davis <dug@us.ibm.com>
Eric Yang <windfarer@gmail.com>
Fabio Huser <fabio@fh1.ch>
farmerworking <farmerworking@gmail.com>
Felix Yan <felixonmars@archlinux.org>
Florentin Raud <florentin.raud@gmail.com>
Frederick F. Kautz IV <fkautz@alumni.cmu.edu>
gabriell nascimento <gabriell@bluesoft.com.br>
Gleb Schukin <gschukin@ptsecurity.com>
harche <p.harshal@gmail.com>
Henri Gomez <henri.gomez@gmail.com>
Hu Keping <hukeping@huawei.com>
Hua Wang <wanghua.humble@gmail.com>
HuKeping <hukeping@huawei.com>
Ian Babrou <ibobrik@gmail.com>
igayoso <igayoso@gmail.com>
Jack Griffin <jackpg14@gmail.com>
Jason Freidman <jason.freidman@gmail.com>
Jeff Nickoloff <jeff@allingeek.com>
Jessie Frazelle <jessie@docker.com>
jhaohai <jhaohai@foxmail.com>
Jianqing Wang <tsing@jianqing.org>
John Starks <jostarks@microsoft.com>
Jon Johnson <jonjohnson@google.com>
Jon Poler <jonathan.poler@apcera.com>
Jonathan Boulle <jonathanboulle@gmail.com>
Jordan Liggitt <jliggitt@redhat.com>
Josh Hawn <josh.hawn@docker.com>
Julien Fernandez <julien.fernandez@gmail.com>
Ke Xu <leonhartx.k@gmail.com>
Keerthan Mala <kmala@engineyard.com>
Kelsey Hightower <kelsey.hightower@gmail.com>
Kenneth Lim <kennethlimcp@gmail.com>
Kenny Leung <kleung@google.com>
Li Yi <denverdino@gmail.com>
Liu Hua <sdu.liu@huawei.com>
liuchang0812 <liuchang0812@gmail.com>
Louis Kottmann <louis.kottmann@gmail.com>
Luke Carpenter <x@rubynerd.net>
Mary Anthony <mary@docker.com>
Matt Bentley <mbentley@mbentley.net>
Matt Duch <matt@learnmetrics.com>
Matt Moore <mattmoor@google.com>
Matt Robenolt <matt@ydekproductions.com>
Michael Prokop <mika@grml.org>
Michal Minar <miminar@redhat.com>
Miquel Sabaté <msabate@suse.com>
Morgan Bauer <mbauer@us.ibm.com>
moxiegirl <mary@docker.com>
Nathan Sullivan <nathan@nightsys.net>
nevermosby <robolwq@qq.com>
Nghia Tran <tcnghia@gmail.com>
Nikita Tarasov <nikita@mygento.ru>
Nuutti Kotivuori <nuutti.kotivuori@poplatek.fi>
Oilbeater <liumengxinfly@gmail.com>
Olivier Gambier <olivier@docker.com>
Olivier Jacques <olivier.jacques@hp.com>
Omer Cohen <git@omer.io>
Patrick Devine <patrick.devine@docker.com>
Phil Estes <estesp@linux.vnet.ibm.com>
Philip Misiowiec <philip@atlashealth.com>
Richard Scothern <richard.scothern@docker.com>
Rodolfo Carvalho <rhcarvalho@gmail.com>
Rusty Conover <rusty@luckydinosaur.com>
Sean Boran <Boran@users.noreply.github.com>
Sebastiaan van Stijn <github@gone.nl>
Serge Dubrouski <sergeyfd@gmail.com>
Sharif Nassar <sharif@mrwacky.com>
Shawn Falkner-Horine <dreadpirateshawn@gmail.com>
Shreyas Karnik <karnik.shreyas@gmail.com>
Simon Thulbourn <simon+github@thulbourn.com>
Spencer Rinehart <anubis@overthemonkey.com>
Stefan Majewsky <stefan.majewsky@sap.com>
Stefan Weil <sw@weilnetz.de>
Stephen J Day <stephen.day@docker.com>
Sungho Moon <sungho.moon@navercorp.com>
Sven Dowideit <SvenDowideit@home.org.au>
Sylvain Baubeau <sbaubeau@redhat.com>
Ted Reed <ted.reed@gmail.com>
tgic <farmer1992@gmail.com>
Thomas Sjögren <konstruktoid@users.noreply.github.com>
Tianon Gravi <admwiggin@gmail.com>
Tibor Vass <teabee89@gmail.com>
Tonis Tiigi <tonistiigi@gmail.com>
Tony Holdstock-Brown <tony@docker.com>
Trevor Pounds <trevor.pounds@gmail.com>
Troels Thomsen <troels@thomsen.io>
Vincent Batts <vbatts@redhat.com>
Vincent Demeester <vincent@sbr.pm>
Vincent Giersch <vincent.giersch@ovh.net>
W. Trevor King <wking@tremily.us>
weiyuan.yl <weiyuan.yl@alibaba-inc.com>
xg.song <xg.song@venusource.com>
xiekeyang <xiekeyang@huawei.com>
Yann ROBERT <yann.robert@anantaplex.fr>
yuzou <zouyu7@huawei.com>
zhouhaibing089 <zhouhaibing089@gmail.com>
姜继忠 <jizhong.jiangjz@alibaba-inc.com>

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# Building the registry source
## Use-case
This is useful if you intend to actively work on the registry.
### Alternatives
Most people should use the [official Registry docker image](https://hub.docker.com/r/library/registry/).
People looking for advanced operational use cases might consider rolling their own image with a custom Dockerfile inheriting `FROM registry:2`.
OS X users who want to run natively can do so following [the instructions here](osx-setup-guide.md).
### Gotchas
You are expected to know your way around with go & git.
If you are a casual user with no development experience, and no preliminary knowledge of go, building from source is probably not a good solution for you.
## Build the development environment
The first prerequisite of properly building distribution targets is to have a Go
development environment setup. Please follow [How to Write Go Code](https://golang.org/doc/code.html)
for proper setup. If done correctly, you should have a GOROOT and GOPATH set in the
environment.
If a Go development environment is setup, one can use `go get` to install the
`registry` command from the current latest:
go get github.com/docker/distribution/cmd/registry
The above will install the source repository into the `GOPATH`.
Now create the directory for the registry data (this might require you to set permissions properly)
mkdir -p /var/lib/registry
... or alternatively `export REGISTRY_STORAGE_FILESYSTEM_ROOTDIRECTORY=/somewhere` if you want to store data into another location.
The `registry`
binary can then be run with the following:
$ $GOPATH/bin/registry --version
$GOPATH/bin/registry github.com/docker/distribution v2.0.0-alpha.1+unknown
> __NOTE:__ While you do not need to use `go get` to checkout the distribution
> project, for these build instructions to work, the project must be checked
> out in the correct location in the `GOPATH`. This should almost always be
> `$GOPATH/src/github.com/docker/distribution`.
The registry can be run with the default config using the following
incantation:
$ $GOPATH/bin/registry serve $GOPATH/src/github.com/docker/distribution/cmd/registry/config-example.yml
INFO[0000] endpoint local-5003 disabled, skipping app.id=34bbec38-a91a-494a-9a3f-b72f9010081f version=v2.0.0-alpha.1+unknown
INFO[0000] endpoint local-8083 disabled, skipping app.id=34bbec38-a91a-494a-9a3f-b72f9010081f version=v2.0.0-alpha.1+unknown
INFO[0000] listening on :5000 app.id=34bbec38-a91a-494a-9a3f-b72f9010081f version=v2.0.0-alpha.1+unknown
INFO[0000] debug server listening localhost:5001
If it is working, one should see the above log messages.
### Repeatable Builds
For the full development experience, one should `cd` into
`$GOPATH/src/github.com/docker/distribution`. From there, the regular `go`
commands, such as `go test`, should work per package (please see
[Developing](#developing) if they don't work).
A `Makefile` has been provided as a convenience to support repeatable builds.
Please install the following into `GOPATH` for it to work:
go get github.com/tools/godep github.com/golang/lint/golint
**TODO(stevvooe):** Add a `make setup` command to Makefile to run this. Have to think about how to interact with Godeps properly.
Once these commands are available in the `GOPATH`, run `make` to get a full
build:
$ make
+ clean
+ fmt
+ vet
+ lint
+ build
github.com/docker/docker/vendor/src/code.google.com/p/go/src/pkg/archive/tar
github.com/Sirupsen/logrus
github.com/docker/libtrust
...
github.com/yvasiyarov/gorelic
github.com/docker/distribution/registry/handlers
github.com/docker/distribution/cmd/registry
+ test
...
ok github.com/docker/distribution/digest 7.875s
ok github.com/docker/distribution/manifest 0.028s
ok github.com/docker/distribution/notifications 17.322s
? github.com/docker/distribution/registry [no test files]
ok github.com/docker/distribution/registry/api/v2 0.101s
? github.com/docker/distribution/registry/auth [no test files]
ok github.com/docker/distribution/registry/auth/silly 0.011s
...
+ /Users/sday/go/src/github.com/docker/distribution/bin/registry
+ /Users/sday/go/src/github.com/docker/distribution/bin/registry-api-descriptor-template
+ binaries
The above provides a repeatable build using the contents of the vendored
Godeps directory. This includes formatting, vetting, linting, building,
testing and generating tagged binaries. We can verify this worked by running
the registry binary generated in the "./bin" directory:
$ ./bin/registry -version
./bin/registry github.com/docker/distribution v2.0.0-alpha.2-80-g16d8b2c.m
### Optional build tags
Optional [build tags](http://golang.org/pkg/go/build/) can be provided using
the environment variable `DOCKER_BUILDTAGS`.

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# Changelog
## 2.5.0 (2016-06-14)
### Storage
- Ensure uploads directory is cleaned after upload is commited
- Add ability to cap concurrent operations in filesystem driver
- S3: Add 'us-gov-west-1' to the valid region list
- Swift: Handle ceph not returning Last-Modified header for HEAD requests
- Add redirect middleware
#### Registry
- Add support for blobAccessController middleware
- Add support for layers from foreign sources
- Remove signature store
- Add support for Let's Encrypt
- Correct yaml key names in configuration
#### Client
- Add option to get content digest from manifest get
#### Spec
- Update the auth spec scope grammar to reflect the fact that hostnames are optionally supported
- Clarify API documentation around catalog fetch behavior
### API
- Support returning HTTP 429 (Too Many Requests)
### Documentation
- Update auth documentation examples to show "expires in" as int
### Docker Image
- Use Alpine Linux as base image

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# Contributing to the registry
## Before reporting an issue...
### If your problem is with...
- automated builds
- your account on the [Docker Hub](https://hub.docker.com/)
- any other [Docker Hub](https://hub.docker.com/) issue
Then please do not report your issue here - you should instead report it to [https://support.docker.com](https://support.docker.com)
### If you...
- need help setting up your registry
- can't figure out something
- are not sure what's going on or what your problem is
Then please do not open an issue here yet - you should first try one of the following support forums:
- irc: #docker-distribution on freenode
- mailing-list: <distribution@dockerproject.org> or https://groups.google.com/a/dockerproject.org/forum/#!forum/distribution
## Reporting an issue properly
By following these simple rules you will get better and faster feedback on your issue.
- search the bugtracker for an already reported issue
### If you found an issue that describes your problem:
- please read other user comments first, and confirm this is the same issue: a given error condition might be indicative of different problems - you may also find a workaround in the comments
- please refrain from adding "same thing here" or "+1" comments
- you don't need to comment on an issue to get notified of updates: just hit the "subscribe" button
- comment if you have some new, technical and relevant information to add to the case
- __DO NOT__ comment on closed issues or merged PRs. If you think you have a related problem, open up a new issue and reference the PR or issue.
### If you have not found an existing issue that describes your problem:
1. create a new issue, with a succinct title that describes your issue:
- bad title: "It doesn't work with my docker"
- good title: "Private registry push fail: 400 error with E_INVALID_DIGEST"
2. copy the output of:
- `docker version`
- `docker info`
- `docker exec <registry-container> registry -version`
3. copy the command line you used to launch your Registry
4. restart your docker daemon in debug mode (add `-D` to the daemon launch arguments)
5. reproduce your problem and get your docker daemon logs showing the error
6. if relevant, copy your registry logs that show the error
7. provide any relevant detail about your specific Registry configuration (e.g., storage backend used)
8. indicate if you are using an enterprise proxy, Nginx, or anything else between you and your Registry
## Contributing a patch for a known bug, or a small correction
You should follow the basic GitHub workflow:
1. fork
2. commit a change
3. make sure the tests pass
4. PR
Additionally, you must [sign your commits](https://github.com/docker/docker/blob/master/CONTRIBUTING.md#sign-your-work). It's very simple:
- configure your name with git: `git config user.name "Real Name" && git config user.email mail@example.com`
- sign your commits using `-s`: `git commit -s -m "My commit"`
Some simple rules to ensure quick merge:
- clearly point to the issue(s) you want to fix in your PR comment (e.g., `closes #12345`)
- prefer multiple (smaller) PRs addressing individual issues over a big one trying to address multiple issues at once
- if you need to amend your PR following comments, please squash instead of adding more commits
## Contributing new features
You are heavily encouraged to first discuss what you want to do. You can do so on the irc channel, or by opening an issue that clearly describes the use case you want to fulfill, or the problem you are trying to solve.
If this is a major new feature, you should then submit a proposal that describes your technical solution and reasoning.
If you did discuss it first, this will likely be greenlighted very fast. It's advisable to address all feedback on this proposal before starting actual work.
Then you should submit your implementation, clearly linking to the issue (and possible proposal).
Your PR will be reviewed by the community, then ultimately by the project maintainers, before being merged.
It's mandatory to:
- interact respectfully with other community members and maintainers - more generally, you are expected to abide by the [Docker community rules](https://github.com/docker/docker/blob/master/CONTRIBUTING.md#docker-community-guidelines)
- address maintainers' comments and modify your submission accordingly
- write tests for any new code
Complying to these simple rules will greatly accelerate the review process, and will ensure you have a pleasant experience in contributing code to the Registry.
Have a look at a great, successful contribution: the [Swift driver PR](https://github.com/docker/distribution/pull/493)
## Coding Style
Unless explicitly stated, we follow all coding guidelines from the Go
community. While some of these standards may seem arbitrary, they somehow seem
to result in a solid, consistent codebase.
It is possible that the code base does not currently comply with these
guidelines. We are not looking for a massive PR that fixes this, since that
goes against the spirit of the guidelines. All new contributions should make a
best effort to clean up and make the code base better than they left it.
Obviously, apply your best judgement. Remember, the goal here is to make the
code base easier for humans to navigate and understand. Always keep that in
mind when nudging others to comply.
The rules:
1. All code should be formatted with `gofmt -s`.
2. All code should pass the default levels of
[`golint`](https://github.com/golang/lint).
3. All code should follow the guidelines covered in [Effective
Go](http://golang.org/doc/effective_go.html) and [Go Code Review
Comments](https://github.com/golang/go/wiki/CodeReviewComments).
4. Comment the code. Tell us the why, the history and the context.
5. Document _all_ declarations and methods, even private ones. Declare
expectations, caveats and anything else that may be important. If a type
gets exported, having the comments already there will ensure it's ready.
6. Variable name length should be proportional to its context and no longer.
`noCommaALongVariableNameLikeThisIsNotMoreClearWhenASimpleCommentWouldDo`.
In practice, short methods will have short variable names and globals will
have longer names.
7. No underscores in package names. If you need a compound name, step back,
and re-examine why you need a compound name. If you still think you need a
compound name, lose the underscore.
8. No utils or helpers packages. If a function is not general enough to
warrant its own package, it has not been written generally enough to be a
part of a util package. Just leave it unexported and well-documented.
9. All tests should run with `go test` and outside tooling should not be
required. No, we don't need another unit testing framework. Assertion
packages are acceptable if they provide _real_ incremental value.
10. Even though we call these "rules" above, they are actually just
guidelines. Since you've read all the rules, you now know that.
If you are having trouble getting into the mood of idiomatic Go, we recommend
reading through [Effective Go](http://golang.org/doc/effective_go.html). The
[Go Blog](http://blog.golang.org/) is also a great resource. Drinking the
kool-aid is a lot easier than going thirsty.

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FROM golang:1.6-alpine
ENV DISTRIBUTION_DIR /go/src/github.com/docker/distribution
ENV DOCKER_BUILDTAGS include_oss include_gcs
WORKDIR $DISTRIBUTION_DIR
COPY . $DISTRIBUTION_DIR
COPY cmd/registry/config-dev.yml /etc/docker/registry/config.yml
RUN set -ex \
&& apk add --no-cache make git
RUN make PREFIX=/go clean binaries
VOLUME ["/var/lib/registry"]
EXPOSE 5000
ENTRYPOINT ["registry"]
CMD ["serve", "/etc/docker/registry/config.yml"]

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# Distribution maintainers file
#
# This file describes who runs the docker/distribution project and how.
# This is a living document - if you see something out of date or missing, speak up!
#
# It is structured to be consumable by both humans and programs.
# To extract its contents programmatically, use any TOML-compliant parser.
#
# This file is compiled into the MAINTAINERS file in docker/opensource.
#
[Org]
[Org."Core maintainers"]
people = [
"aaronlehmann",
"dmcgowan",
"dmp42",
"richardscothern",
"shykes",
"stevvooe",
]
[people]
# A reference list of all people associated with the project.
# All other sections should refer to people by their canonical key
# in the people section.
# ADD YOURSELF HERE IN ALPHABETICAL ORDER
[people.aaronlehmann]
Name = "Aaron Lehmann"
Email = "aaron.lehmann@docker.com"
GitHub = "aaronlehmann"
[people.dmcgowan]
Name = "Derek McGowan"
Email = "derek@mcgstyle.net"
GitHub = "dmcgowan"
[people.dmp42]
Name = "Olivier Gambier"
Email = "olivier@docker.com"
GitHub = "dmp42"
[people.richardscothern]
Name = "Richard Scothern"
Email = "richard.scothern@gmail.com"
GitHub = "richardscothern"
[people.shykes]
Name = "Solomon Hykes"
Email = "solomon@docker.com"
GitHub = "shykes"
[people.stevvooe]
Name = "Stephen Day"
Email = "stephen.day@docker.com"
GitHub = "stevvooe"

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# Set an output prefix, which is the local directory if not specified
PREFIX?=$(shell pwd)
# Used to populate version variable in main package.
VERSION=$(shell git describe --match 'v[0-9]*' --dirty='.m' --always)
# Allow turning off function inlining and variable registerization
ifeq (${DISABLE_OPTIMIZATION},true)
GO_GCFLAGS=-gcflags "-N -l"
VERSION:="$(VERSION)-noopt"
endif
GO_LDFLAGS=-ldflags "-X `go list ./version`.Version=$(VERSION)"
.PHONY: clean all fmt vet lint build test binaries
.DEFAULT: all
all: fmt vet lint build test binaries
AUTHORS: .mailmap .git/HEAD
git log --format='%aN <%aE>' | sort -fu > $@
# This only needs to be generated by hand when cutting full releases.
version/version.go:
./version/version.sh > $@
# Required for go 1.5 to build
GO15VENDOREXPERIMENT := 1
# Package list
PKGS := $(shell go list -tags "${DOCKER_BUILDTAGS}" ./... | grep -v ^github.com/docker/distribution/vendor/)
# Resolving binary dependencies for specific targets
GOLINT := $(shell which golint || echo '')
GODEP := $(shell which godep || echo '')
${PREFIX}/bin/registry: $(wildcard **/*.go)
@echo "+ $@"
@go build -tags "${DOCKER_BUILDTAGS}" -o $@ ${GO_LDFLAGS} ${GO_GCFLAGS} ./cmd/registry
${PREFIX}/bin/digest: $(wildcard **/*.go)
@echo "+ $@"
@go build -tags "${DOCKER_BUILDTAGS}" -o $@ ${GO_LDFLAGS} ${GO_GCFLAGS} ./cmd/digest
${PREFIX}/bin/registry-api-descriptor-template: $(wildcard **/*.go)
@echo "+ $@"
@go build -o $@ ${GO_LDFLAGS} ${GO_GCFLAGS} ./cmd/registry-api-descriptor-template
docs/spec/api.md: docs/spec/api.md.tmpl ${PREFIX}/bin/registry-api-descriptor-template
./bin/registry-api-descriptor-template $< > $@
vet:
@echo "+ $@"
@go vet -tags "${DOCKER_BUILDTAGS}" $(PKGS)
fmt:
@echo "+ $@"
@test -z "$$(gofmt -s -l . 2>&1 | grep -v ^vendor/ | tee /dev/stderr)" || \
(echo >&2 "+ please format Go code with 'gofmt -s'" && false)
lint:
@echo "+ $@"
$(if $(GOLINT), , \
$(error Please install golint: `go get -u github.com/golang/lint/golint`))
@test -z "$$($(GOLINT) ./... 2>&1 | grep -v ^vendor/ | tee /dev/stderr)"
build:
@echo "+ $@"
@go build -tags "${DOCKER_BUILDTAGS}" -v ${GO_LDFLAGS} $(PKGS)
test:
@echo "+ $@"
@go test -test.short -tags "${DOCKER_BUILDTAGS}" $(PKGS)
test-full:
@echo "+ $@"
@go test -tags "${DOCKER_BUILDTAGS}" $(PKGS)
binaries: ${PREFIX}/bin/registry ${PREFIX}/bin/digest ${PREFIX}/bin/registry-api-descriptor-template
@echo "+ $@"
clean:
@echo "+ $@"
@rm -rf "${PREFIX}/bin/registry" "${PREFIX}/bin/digest" "${PREFIX}/bin/registry-api-descriptor-template"
dep-save:
@echo "+ $@"
$(if $(GODEP), , \
$(error Please install godep: go get github.com/tools/godep))
@$(GODEP) save $(PKGS)
dep-restore:
@echo "+ $@"
$(if $(GODEP), , \
$(error Please install godep: go get github.com/tools/godep))
@$(GODEP) restore -v
dep-validate: dep-restore
@echo "+ $@"
@rm -Rf .vendor.bak
@mv vendor .vendor.bak
@rm -Rf Godeps
@$(GODEP) save ./...
@test -z "$$(diff -r vendor .vendor.bak 2>&1 | tee /dev/stderr)" || \
(echo >&2 "+ borked dependencies! what you have in Godeps/Godeps.json does not match with what you have in vendor" && false)
@rm -Rf .vendor.bak

View File

@@ -1,131 +0,0 @@
# Distribution
The Docker toolset to pack, ship, store, and deliver content.
This repository's main product is the Docker Registry 2.0 implementation
for storing and distributing Docker images. It supersedes the
[docker/docker-registry](https://github.com/docker/docker-registry)
project with a new API design, focused around security and performance.
<img src="https://www.docker.com/sites/default/files/oyster-registry-3.png" width=200px/>
[![Circle CI](https://circleci.com/gh/docker/distribution/tree/master.svg?style=svg)](https://circleci.com/gh/docker/distribution/tree/master)
[![GoDoc](https://godoc.org/github.com/docker/distribution?status.svg)](https://godoc.org/github.com/docker/distribution)
This repository contains the following components:
|**Component** |Description |
|--------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| **registry** | An implementation of the [Docker Registry HTTP API V2](docs/spec/api.md) for use with docker 1.6+. |
| **libraries** | A rich set of libraries for interacting with distribution components. Please see [godoc](https://godoc.org/github.com/docker/distribution) for details. **Note**: These libraries are **unstable**. |
| **specifications** | _Distribution_ related specifications are available in [docs/spec](docs/spec) |
| **documentation** | Docker's full documentation set is available at [docs.docker.com](https://docs.docker.com). This repository [contains the subset](docs/index.md) related just to the registry. |
### How does this integrate with Docker engine?
This project should provide an implementation to a V2 API for use in the [Docker
core project](https://github.com/docker/docker). The API should be embeddable
and simplify the process of securely pulling and pushing content from `docker`
daemons.
### What are the long term goals of the Distribution project?
The _Distribution_ project has the further long term goal of providing a
secure tool chain for distributing content. The specifications, APIs and tools
should be as useful with Docker as they are without.
Our goal is to design a professional grade and extensible content distribution
system that allow users to:
* Enjoy an efficient, secured and reliable way to store, manage, package and
exchange content
* Hack/roll their own on top of healthy open-source components
* Implement their own home made solution through good specs, and solid
extensions mechanism.
## More about Registry 2.0
The new registry implementation provides the following benefits:
- faster push and pull
- new, more efficient implementation
- simplified deployment
- pluggable storage backend
- webhook notifications
For information on upcoming functionality, please see [ROADMAP.md](ROADMAP.md).
### Who needs to deploy a registry?
By default, Docker users pull images from Docker's public registry instance.
[Installing Docker](https://docs.docker.com/engine/installation/) gives users this
ability. Users can also push images to a repository on Docker's public registry,
if they have a [Docker Hub](https://hub.docker.com/) account.
For some users and even companies, this default behavior is sufficient. For
others, it is not.
For example, users with their own software products may want to maintain a
registry for private, company images. Also, you may wish to deploy your own
image repository for images used to test or in continuous integration. For these
use cases and others, [deploying your own registry instance](docs/deploying.md)
may be the better choice.
### Migration to Registry 2.0
For those who have previously deployed their own registry based on the Registry
1.0 implementation and wish to deploy a Registry 2.0 while retaining images,
data migration is required. A tool to assist with migration efforts has been
created. For more information see [docker/migrator]
(https://github.com/docker/migrator).
## Contribute
Please see [CONTRIBUTING.md](CONTRIBUTING.md) for details on how to contribute
issues, fixes, and patches to this project. If you are contributing code, see
the instructions for [building a development environment](docs/recipes/building.md).
## Support
If any issues are encountered while using the _Distribution_ project, several
avenues are available for support:
<table>
<tr>
<th align="left">
IRC
</th>
<td>
#docker-distribution on FreeNode
</td>
</tr>
<tr>
<th align="left">
Issue Tracker
</th>
<td>
github.com/docker/distribution/issues
</td>
</tr>
<tr>
<th align="left">
Google Groups
</th>
<td>
https://groups.google.com/a/dockerproject.org/forum/#!forum/distribution
</td>
</tr>
<tr>
<th align="left">
Mailing List
</th>
<td>
docker@dockerproject.org
</td>
</tr>
</table>
## License
This project is distributed under [Apache License, Version 2.0](LICENSE).

View File

@@ -1,267 +0,0 @@
# Roadmap
The Distribution Project consists of several components, some of which are
still being defined. This document defines the high-level goals of the
project, identifies the current components, and defines the release-
relationship to the Docker Platform.
* [Distribution Goals](#distribution-goals)
* [Distribution Components](#distribution-components)
* [Project Planning](#project-planning): release-relationship to the Docker Platform.
This road map is a living document, providing an overview of the goals and
considerations made in respect of the future of the project.
## Distribution Goals
- Replace the existing [docker registry](github.com/docker/docker-registry)
implementation as the primary implementation.
- Replace the existing push and pull code in the docker engine with the
distribution package.
- Define a strong data model for distributing docker images
- Provide a flexible distribution tool kit for use in the docker platform
- Unlock new distribution models
## Distribution Components
Components of the Distribution Project are managed via github [milestones](https://github.com/docker/distribution/milestones). Upcoming
features and bugfixes for a component will be added to the relevant milestone. If a feature or
bugfix is not part of a milestone, it is currently unscheduled for
implementation.
* [Registry](#registry)
* [Distribution Package](#distribution-package)
***
### Registry
The new Docker registry is the main portion of the distribution repository.
Registry 2.0 is the first release of the next-generation registry. This was
primarily focused on implementing the [new registry
API](https://github.com/docker/distribution/blob/master/docs/spec/api.md),
with a focus on security and performance.
Following from the Distribution project goals above, we have a set of goals
for registry v2 that we would like to follow in the design. New features
should be compared against these goals.
#### Data Storage and Distribution First
The registry's first goal is to provide a reliable, consistent storage
location for Docker images. The registry should only provide the minimal
amount of indexing required to fetch image data and no more.
This means we should be selective in new features and API additions, including
those that may require expensive, ever growing indexes. Requests should be
servable in "constant time".
#### Content Addressability
All data objects used in the registry API should be content addressable.
Content identifiers should be secure and verifiable. This provides a secure,
reliable base from which to build more advanced content distribution systems.
#### Content Agnostic
In the past, changes to the image format would require large changes in Docker
and the Registry. By decoupling the distribution and image format, we can
allow the formats to progress without having to coordinate between the two.
This means that we should be focused on decoupling Docker from the registry
just as much as decoupling the registry from Docker. Such an approach will
allow us to unlock new distribution models that haven't been possible before.
We can take this further by saying that the new registry should be content
agnostic. The registry provides a model of names, tags, manifests and content
addresses and that model can be used to work with content.
#### Simplicity
The new registry should be closer to a microservice component than its
predecessor. This means it should have a narrower API and a low number of
service dependencies. It should be easy to deploy.
This means that other solutions should be explored before changing the API or
adding extra dependencies. If functionality is required, can it be added as an
extension or companion service.
#### Extensibility
The registry should provide extension points to add functionality. By keeping
the scope narrow, but providing the ability to add functionality.
Features like search, indexing, synchronization and registry explorers fall
into this category. No such feature should be added unless we've found it
impossible to do through an extension.
#### Active Feature Discussions
The following are feature discussions that are currently active.
If you don't see your favorite, unimplemented feature, feel free to contact us
via IRC or the mailing list and we can talk about adding it. The goal here is
to make sure that new features go through a rigid design process before
landing in the registry.
##### Proxying to other Registries
A _pull-through caching_ mode exists for the registry, but is restricted from
within the docker client to only mirror the official Docker Hub. This functionality
can be expanded when image provenance has been specified and implemented in the
distribution project.
##### Metadata storage
Metadata for the registry is currently stored with the manifest and layer data on
the storage backend. While this is a big win for simplicity and reliably maintaining
state, it comes with the cost of consistency and high latency. The mutable registry
metadata operations should be abstracted behind an API which will allow ACID compliant
storage systems to handle metadata.
##### Peer to Peer transfer
Discussion has started here: https://docs.google.com/document/d/1rYDpSpJiQWmCQy8Cuiaa3NH-Co33oK_SC9HeXYo87QA/edit
##### Indexing, Search and Discovery
The original registry provided some implementation of search for use with
private registries. Support has been elided from V2 since we'd like to both
decouple search functionality from the registry. The makes the registry
simpler to deploy, especially in use cases where search is not needed, and
let's us decouple the image format from the registry.
There are explorations into using the catalog API and notification system to
build external indexes. The current line of thought is that we will define a
common search API to index and query docker images. Such a system could be run
as a companion to a registry or set of registries to power discovery.
The main issue with search and discovery is that there are so many ways to
accomplish it. There are two aspects to this project. The first is deciding on
how it will be done, including an API definition that can work with changing
data formats. The second is the process of integrating with `docker search`.
We expect that someone attempts to address the problem with the existing tools
and propose it as a standard search API or uses it to inform a standardization
process. Once this has been explored, we integrate with the docker client.
Please see the following for more detail:
- https://github.com/docker/distribution/issues/206
##### Deletes
> __NOTE:__ Deletes are a much asked for feature. Before requesting this
feature or participating in discussion, we ask that you read this section in
full and understand the problems behind deletes.
While, at first glance, implementing deleting seems simple, there are a number
mitigating factors that make many solutions not ideal or even pathological in
the context of a registry. The following paragraph discuss the background and
approaches that could be applied to arrive at a solution.
The goal of deletes in any system is to remove unused or unneeded data. Only
data requested for deletion should be removed and no other data. Removing
unintended data is worse than _not_ removing data that was requested for
removal but ideally, both are supported. Generally, according to this rule, we
err on holding data longer than needed, ensuring that it is only removed when
we can be certain that it can be removed. With the current behavior, we opt to
hold onto the data forever, ensuring that data cannot be incorrectly removed.
To understand the problems with implementing deletes, one must understand the
data model. All registry data is stored in a filesystem layout, implemented on
a "storage driver", effectively a _virtual file system_ (VFS). The storage
system must assume that this VFS layer will be eventually consistent and has
poor read- after-write consistency, since this is the lower common denominator
among the storage drivers. This is mitigated by writing values in reverse-
dependent order, but makes wider transactional operations unsafe.
Layered on the VFS model is a content-addressable _directed, acyclic graph_
(DAG) made up of blobs. Manifests reference layers. Tags reference manifests.
Since the same data can be referenced by multiple manifests, we only store
data once, even if it is in different repositories. Thus, we have a set of
blobs, referenced by tags and manifests. If we want to delete a blob we need
to be certain that it is no longer referenced by another manifest or tag. When
we delete a manifest, we also can try to delete the referenced blobs. Deciding
whether or not a blob has an active reference is the crux of the problem.
Conceptually, deleting a manifest and its resources is quite simple. Just find
all the manifests, enumerate the referenced blobs and delete the blobs not in
that set. An astute observer will recognize this as a garbage collection
problem. As with garbage collection in programming languages, this is very
simple when one always has a consistent view. When one adds parallelism and an
inconsistent view of data, it becomes very challenging.
A simple example can demonstrate this. Let's say we are deleting a manifest
_A_ in one process. We scan the manifest and decide that all the blobs are
ready for deletion. Concurrently, we have another process accepting a new
manifest _B_ referencing one or more blobs from the manifest _A_. Manifest _B_
is accepted and all the blobs are considered present, so the operation
proceeds. The original process then deletes the referenced blobs, assuming
they were unreferenced. The manifest _B_, which we thought had all of its data
present, can no longer be served by the registry, since the dependent data has
been deleted.
Deleting data from the registry safely requires some way to coordinate this
operation. The following approaches are being considered:
- _Reference Counting_ - Maintain a count of references to each blob. This is
challenging for a number of reasons: 1. maintaining a consistent consensus
of reference counts across a set of Registries and 2. Building the initial
list of reference counts for an existing registry. These challenges can be
met with a consensus protocol like Paxos or Raft in the first case and a
necessary but simple scan in the second..
- _Lock the World GC_ - Halt all writes to the data store. Walk the data store
and find all blob references. Delete all unreferenced blobs. This approach
is very simple but requires disabling writes for a period of time while the
service reads all data. This is slow and expensive but very accurate and
effective.
- _Generational GC_ - Do something similar to above but instead of blocking
writes, writes are sent to another storage backend while reads are broadcast
to the new and old backends. GC is then performed on the read-only portion.
Because writes land in the new backend, the data in the read-only section
can be safely deleted. The main drawbacks of this approach are complexity
and coordination.
- _Centralized Oracle_ - Using a centralized, transactional database, we can
know exactly which data is referenced at any given time. This avoids
coordination problem by managing this data in a single location. We trade
off metadata scalability for simplicity and performance. This is a very good
option for most registry deployments. This would create a bottleneck for
registry metadata. However, metadata is generally not the main bottleneck
when serving images.
Please let us know if other solutions exist that we have yet to enumerate.
Note that for any approach, implementation is a massive consideration. For
example, a mark-sweep based solution may seem simple but the amount of work in
coordination offset the extra work it might take to build a _Centralized
Oracle_. We'll accept proposals for any solution but please coordinate with us
before dropping code.
At this time, we have traded off simplicity and ease of deployment for disk
space. Simplicity and ease of deployment tend to reduce developer involvement,
which is currently the most expensive resource in software engineering. Taking
on any solution for deletes will greatly effect these factors, trading off
very cheap disk space for a complex deployment and operational story.
Please see the following issues for more detail:
- https://github.com/docker/distribution/issues/422
- https://github.com/docker/distribution/issues/461
- https://github.com/docker/distribution/issues/462
### Distribution Package
At its core, the Distribution Project is a set of Go packages that make up
Distribution Components. At this time, most of these packages make up the
Registry implementation.
The package itself is considered unstable. If you're using it, please take care to vendor the dependent version.
For feature additions, please see the Registry section. In the future, we may break out a
separate Roadmap for distribution-specific features that apply to more than
just the registry.
***
### Project Planning
An [Open-Source Planning Process](https://github.com/docker/distribution/wiki/Open-Source-Planning-Process) is used to define the Roadmap. [Project Pages](https://github.com/docker/distribution/wiki) define the goals for each Milestone and identify current progress.

View File

@@ -1,89 +0,0 @@
# Pony-up!
machine:
pre:
# Install gvm
- bash < <(curl -s -S -L https://raw.githubusercontent.com/moovweb/gvm/1.0.22/binscripts/gvm-installer)
# Install codecov for coverage
- pip install --user codecov
post:
# go
- gvm install go1.6 --prefer-binary --name=stable
environment:
# Convenient shortcuts to "common" locations
CHECKOUT: /home/ubuntu/$CIRCLE_PROJECT_REPONAME
BASE_DIR: src/github.com/$CIRCLE_PROJECT_USERNAME/$CIRCLE_PROJECT_REPONAME
# Trick circle brainflat "no absolute path" behavior
BASE_STABLE: ../../../$HOME/.gvm/pkgsets/stable/global/$BASE_DIR
DOCKER_BUILDTAGS: "include_oss include_gcs"
# Workaround Circle parsing dumb bugs and/or YAML wonkyness
CIRCLE_PAIN: "mode: set"
hosts:
# Not used yet
fancy: 127.0.0.1
dependencies:
pre:
# Copy the code to the gopath of all go versions
- >
gvm use stable &&
mkdir -p "$(dirname $BASE_STABLE)" &&
cp -R "$CHECKOUT" "$BASE_STABLE"
override:
# Install dependencies for every copied clone/go version
- gvm use stable && go get github.com/tools/godep:
pwd: $BASE_STABLE
post:
# For the stable go version, additionally install linting tools
- >
gvm use stable &&
go get github.com/axw/gocov/gocov github.com/golang/lint/golint
test:
pre:
# Output the go versions we are going to test
# - gvm use old && go version
- gvm use stable && go version
# Ensure validation of dependencies
- gvm use stable && if test -n "`git diff --stat=1000 master | grep -Ei \"vendor|godeps\"`"; then make dep-validate; fi:
pwd: $BASE_STABLE
# First thing: build everything. This will catch compile errors, and it's
# also necessary for go vet to work properly (see #807).
- gvm use stable && godep go install $(go list ./... | grep -v "/vendor/"):
pwd: $BASE_STABLE
# FMT
- gvm use stable && make fmt:
pwd: $BASE_STABLE
# VET
- gvm use stable && make vet:
pwd: $BASE_STABLE
# LINT
- gvm use stable && make lint:
pwd: $BASE_STABLE
override:
# Test stable, and report
- gvm use stable; export ROOT_PACKAGE=$(go list .); go list -tags "$DOCKER_BUILDTAGS" ./... | grep -v "/vendor/" | xargs -L 1 -I{} bash -c 'export PACKAGE={}; godep go test -tags "$DOCKER_BUILDTAGS" -test.short -coverprofile=$GOPATH/src/$PACKAGE/coverage.out -coverpkg=$(./coverpkg.sh $PACKAGE $ROOT_PACKAGE) $PACKAGE':
timeout: 600
pwd: $BASE_STABLE
post:
# Report to codecov
- bash <(curl -s https://codecov.io/bash):
pwd: $BASE_STABLE
## Notes
# Disabled the -race detector due to massive memory usage.
# Do we want these as well?
# - go get code.google.com/p/go.tools/cmd/goimports
# - test -z "$(goimports -l -w ./... | tee /dev/stderr)"
# http://labix.org/gocheck

View File

@@ -1,7 +0,0 @@
#!/usr/bin/env bash
# Given a subpackage and the containing package, figures out which packages
# need to be passed to `go test -coverpkg`: this includes all of the
# subpackage's dependencies within the containing package, as well as the
# subpackage itself.
DEPENDENCIES="$(go list -f $'{{range $f := .Deps}}{{$f}}\n{{end}}' ${1} | grep ${2} | grep -v github.com/docker/distribution/vendor)"
echo "${1} ${DEPENDENCIES}" | xargs echo -n | tr ' ' ','