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1 Commits

Author SHA1 Message Date
Quentin Dufour
432131f5b8
DANGEROUS / TEST / DO NOT MERGE - Disable fsync 2022-09-24 09:21:24 +02:00
469 changed files with 13982 additions and 86809 deletions

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@ -19,12 +19,9 @@ steps:
- name: unit + func tests
image: nixpkgs/nix:nixos-22.05
environment:
GARAGE_TEST_INTEGRATION_EXE: result-bin/bin/garage
GARAGE_TEST_INTEGRATION_PATH: tmp-garage-integration
GARAGE_TEST_INTEGRATION_EXE: result/bin/garage
commands:
- nix-build --no-build-output --attr clippy.amd64 --argstr git_version ${DRONE_TAG:-$DRONE_COMMIT}
- nix-build --no-build-output --attr test.amd64
- ./result/bin/garage_db-*
- ./result/bin/garage_api-*
- ./result/bin/garage_model-*
- ./result/bin/garage_rpc-*
@ -32,9 +29,7 @@ steps:
- ./result/bin/garage_util-*
- ./result/bin/garage_web-*
- ./result/bin/garage-*
- ./result/bin/integration-* || (cat tmp-garage-integration/stderr.log; false)
- rm result
- rm -rv tmp-garage-integration
- ./result/bin/integration-*
- name: integration tests
image: nixpkgs/nix:nixos-22.05
@ -63,18 +58,13 @@ steps:
image: nixpkgs/nix:nixos-22.05
commands:
- nix-build --no-build-output --attr pkgs.amd64.release --argstr git_version ${DRONE_TAG:-$DRONE_COMMIT}
- nix-shell --attr rust --run "./script/not-dynamic.sh result-bin/bin/garage"
- nix-shell --attr rust --run "./script/not-dynamic.sh result/bin/garage"
- name: integration tests
- name: integration
image: nixpkgs/nix:nixos-22.05
commands:
- nix-shell --attr integration --run ./script/test-smoke.sh || (cat /tmp/garage.log; false)
- name: upgrade tests
image: nixpkgs/nix:nixos-22.05
commands:
- nix-shell --attr integration --run "./script/test-upgrade.sh v0.8.4 x86_64-unknown-linux-musl" || (cat /tmp/garage.log; false)
- name: push static binary
image: nixpkgs/nix:nixos-22.05
environment:
@ -119,18 +109,13 @@ steps:
image: nixpkgs/nix:nixos-22.05
commands:
- nix-build --no-build-output --attr pkgs.i386.release --argstr git_version ${DRONE_TAG:-$DRONE_COMMIT}
- nix-shell --attr rust --run "./script/not-dynamic.sh result-bin/bin/garage"
- nix-shell --attr rust --run "./script/not-dynamic.sh result/bin/garage"
- name: integration tests
- name: integration
image: nixpkgs/nix:nixos-22.05
commands:
- nix-shell --attr integration --run ./script/test-smoke.sh || (cat /tmp/garage.log; false)
- name: upgrade tests
image: nixpkgs/nix:nixos-22.05
commands:
- nix-shell --attr integration --run "./script/test-upgrade.sh v0.8.4 i686-unknown-linux-musl" || (cat /tmp/garage.log; false)
- name: push static binary
image: nixpkgs/nix:nixos-22.05
environment:
@ -174,7 +159,7 @@ steps:
image: nixpkgs/nix:nixos-22.05
commands:
- nix-build --no-build-output --attr pkgs.arm64.release --argstr git_version ${DRONE_TAG:-$DRONE_COMMIT}
- nix-shell --attr rust --run "./script/not-dynamic.sh result-bin/bin/garage"
- nix-shell --attr rust --run "./script/not-dynamic.sh result/bin/garage"
- name: push static binary
image: nixpkgs/nix:nixos-22.05
@ -219,7 +204,7 @@ steps:
image: nixpkgs/nix:nixos-22.05
commands:
- nix-build --no-build-output --attr pkgs.arm.release --argstr git_version ${DRONE_TAG:-$DRONE_COMMIT}
- nix-shell --attr rust --run "./script/not-dynamic.sh result-bin/bin/garage"
- nix-shell --attr rust --run "./script/not-dynamic.sh result/bin/garage"
- name: push static binary
image: nixpkgs/nix:nixos-22.05
@ -260,17 +245,6 @@ node:
nix-daemon: 1
steps:
- name: multiarch-docker
image: nixpkgs/nix:nixos-22.05
environment:
DOCKER_AUTH:
from_secret: docker_auth
HOME: "/root"
commands:
- mkdir -p /root/.docker
- echo $DOCKER_AUTH > /root/.docker/config.json
- export CONTAINER_TAG=${DRONE_TAG:-$DRONE_COMMIT}
- nix-shell --attr release --run "multiarch_docker"
- name: refresh-index
image: nixpkgs/nix:nixos-22.05
environment:
@ -295,6 +269,6 @@ trigger:
---
kind: signature
hmac: 0c4b57eb4b27b7c6a6ff21ab87f0767fe3eb90f5d95d5cbcdccf794e9d2a5d86
hmac: 362639b4c9541ad9bd06ff7f72b5235b2b0216bcb16eececd25285b6fe94ba6f
...

1
.envrc
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@ -1 +0,0 @@
use flake

1
.gitattributes vendored Normal file
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@ -0,0 +1 @@
*.pdf filter=lfs diff=lfs merge=lfs -text

3
.gitignore vendored
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@ -3,6 +3,3 @@
/pki
**/*.rs.bk
*.swp
/.direnv
/.cargo
/result

2831
Cargo.lock generated

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5739
Cargo.nix Normal file

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@ -11,23 +11,10 @@ members = [
"src/web",
"src/garage",
"src/k2v-client",
"src/format-table",
]
default-members = ["src/garage"]
[workspace.dependencies]
format_table = { version = "0.1.1", path = "src/format-table" }
garage_api = { version = "0.9.0", path = "src/api" }
garage_block = { version = "0.9.0", path = "src/block" }
garage_db = { version = "0.9.0", path = "src/db", default-features = false }
garage_model = { version = "0.9.0", path = "src/model", default-features = false }
garage_rpc = { version = "0.9.0", path = "src/rpc" }
garage_table = { version = "0.9.0", path = "src/table" }
garage_util = { version = "0.9.0", path = "src/util" }
garage_web = { version = "0.9.0", path = "src/web" }
k2v-client = { version = "0.0.4", path = "src/k2v-client" }
[profile.dev]
lto = "off"

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@ -3,5 +3,5 @@ FROM scratch
ENV RUST_BACKTRACE=1
ENV RUST_LOG=garage=info
COPY result-bin/bin/garage /
COPY result/bin/garage /
CMD [ "/garage", "server"]

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@ -4,7 +4,7 @@ all:
clear; cargo build
release:
nix-build --attr pkgs.amd64.release --no-build-output
nix-build --arg release true
shell:
nix-shell

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@ -1,166 +1,33 @@
{
buildSystem ? builtins.currentSystem,
targetSystem ? buildSystem,
gitVersion ? null,
release ? false,
features ? null,
system ? builtins.currentSystem,
git_version ? null,
}:
let
pkgsSrc = import ./nix/pkgs.nix;
newBuildTarget = {
nixPkgsSystem,
rustTarget ? nixPkgsSystem,
nativeBuildInputs ? pkgsCross: [],
rustFlags ? pkgsCross: [],
}: {
inherit nixPkgsSystem rustTarget nativeBuildInputs rustFlags;
with import ./nix/common.nix;
let
pkgs = import pkgsSrc { };
compile = import ./nix/compile.nix;
build_debug_and_release = (target: {
debug = (compile { inherit target git_version; release = false; }).workspace.garage { compileMode = "build"; };
release = (compile { inherit target git_version; release = true; }).workspace.garage { compileMode = "build"; };
});
test = (rustPkgs: pkgs.symlinkJoin {
name ="garage-tests";
paths = builtins.map (key: rustPkgs.workspace.${key} { compileMode = "test"; }) (builtins.attrNames rustPkgs.workspace);
});
in {
pkgs = {
amd64 = build_debug_and_release "x86_64-unknown-linux-musl";
i386 = build_debug_and_release "i686-unknown-linux-musl";
arm64 = build_debug_and_release "aarch64-unknown-linux-musl";
arm = build_debug_and_release "armv6l-unknown-linux-musleabihf";
};
# centralize per-target configuration in a single place.
buildTargets = {
"x86_64-linux" = newBuildTarget {
nixPkgsSystem = "x86_64-unknown-linux-musl";
};
"i686-linux" = newBuildTarget {
nixPkgsSystem = "i686-unknown-linux-musl";
};
"aarch64-linux" = newBuildTarget {
nixPkgsSystem = "aarch64-unknown-linux-musl";
};
# Old Raspberry Pi's (not currently supported due to linking errors with
# libsqlite3 and libsodium
#"armv6l-linux" = newBuildTarget {
# nixPkgsSystem = "armv6l-unknown-linux-musleabihf";
# rustTarget = "arm-unknown-linux-musleabihf";
#};
"x86_64-windows" = newBuildTarget {
nixPkgsSystem = "x86_64-w64-mingw32";
rustTarget = "x86_64-pc-windows-gnu";
nativeBuildInputs = pkgsCross: [ pkgsCross.windows.pthreads ];
rustFlags = pkgsCross: [
"-C" "link-arg=-L${pkgsCross.windows.pthreads}/lib"
];
};
test = {
amd64 = test (compile { inherit git_version; target = "x86_64-unknown-linux-musl"; });
};
buildTarget = buildTargets.${targetSystem};
pkgs = import pkgsSrc { system = buildSystem; };
pkgsCross = import pkgsSrc {
system = buildSystem;
crossSystem.config = buildTarget.nixPkgsSystem;
clippy = {
amd64 = (compile { inherit git_version; compiler = "clippy"; }).workspace.garage { compileMode = "build"; } ;
};
rustTarget = buildTarget.rustTarget;
toolchain = let
fenix = import (pkgs.fetchFromGitHub {
owner = "nix-community";
repo = "fenix";
rev = "81ab0b4f7ae9ebb57daa0edf119c4891806e4d3a";
hash = "sha256-bZmI7ytPAYLpyFNgj5xirDkKuAniOkj1xHdv5aIJ5GM=";
}) {
system = buildSystem;
};
mkToolchain = fenixTarget: fenixTarget.toolchainOf {
channel = "1.68.2";
sha256 = "sha256-4vetmUhTUsew5FODnjlnQYInzyLNyDwocGa4IvMk3DM=";
};
in
fenix.combine [
(mkToolchain fenix).rustc
(mkToolchain fenix).rustfmt
(mkToolchain fenix).cargo
(mkToolchain fenix).clippy
(mkToolchain fenix.targets.${rustTarget}).rust-std
];
naersk = let
naerskSrc = pkgs.fetchFromGitHub {
owner = "nix-community";
repo = "naersk";
rev = "d9a33d69a9c421d64c8d925428864e93be895dcc";
hash = "sha256-e136hTT7LqQ2QjOTZQMW+jnsevWwBpMj78u6FRUsH9I=";
};
in
pkgs.callPackages naerskSrc {
cargo = toolchain;
rustc = toolchain;
};
builtFeatures = if features != null then
features
else (
[ "garage/bundled-libs" "garage/sled" "garage/lmdb" "garage/k2v" ] ++ (
if release then [
"garage/consul-discovery"
"garage/kubernetes-discovery"
"garage/metrics"
"garage/telemetry-otlp"
"garage/sqlite"
] else [ ]
)
);
# For some reason the pkgsCross.pkgsStatic build of libsodium doesn't contain
# a `.a` file when compiled to a windows target, but rather contains
# a `.dll.a` file which libsodium-sys doesn't pick up on. Copying the one to
# the be the other seems to work.
libsodium = pkgs.runCommand "libsodium-wrapped" {
libsodium = pkgsCross.pkgsStatic.libsodium;
} ''
cp -rL "$libsodium" "$out"
chmod -R +w "$out"
if [ ! -e "$out"/lib/libsodium.a ] && [ -f "$out"/lib/libsodium.dll.a ]; then
cp "$out"/lib/libsodium.dll.a "$out"/lib/libsodium.a
fi
'';
in rec {
inherit pkgs pkgsCross;
# Exported separately so it can be used from shell.nix
buildEnv = rec {
nativeBuildInputs = (buildTarget.nativeBuildInputs pkgsCross) ++ [
toolchain
pkgs.protobuf
# Required for shell because of rust dependency build scripts which must
# run on the build system.
pkgs.stdenv.cc
];
SODIUM_LIB_DIR = "${libsodium}/lib";
# Required because ring crate is special. This also seems to have
# fixed some issues with the x86_64-windows cross-compile :shrug:
TARGET_CC = "${pkgsCross.stdenv.cc}/bin/${pkgsCross.stdenv.cc.targetPrefix}cc";
CARGO_BUILD_TARGET = rustTarget;
CARGO_BUILD_RUSTFLAGS = [
"-C" "target-feature=+crt-static"
"-C" "link-arg=-static"
# https://github.com/rust-lang/cargo/issues/4133
"-C" "linker=${TARGET_CC}"
] ++ (buildTarget.rustFlags pkgsCross);
};
build = naersk.buildPackage (rec {
inherit release;
src = ./.;
strictDeps = true;
doCheck = false;
cargoBuildOptions = prev: prev++[
"--features=${builtins.concatStringsSep "," builtFeatures}"
];
} // buildEnv);
}

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@ -1,17 +0,0 @@
# Browse doc
Run in this directory:
```
python3 -m http.server
```
And open in your browser:
- http://localhost:8000/garage-admin-v0.html
# Validate doc
```
wget https://repo1.maven.org/maven2/org/openapitools/openapi-generator-cli/6.1.0/openapi-generator-cli-6.1.0.jar -O openapi-generator-cli.jar
java -jar openapi-generator-cli.jar validate -i garage-admin-v0.yml
```

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@ -1,59 +0,0 @@
/* montserrat-300 - latin */
@font-face {
font-family: 'Montserrat';
font-style: normal;
font-weight: 300;
src: local(''),
url('../fonts/montserrat-v25-latin-300.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
url('../fonts/montserrat-v25-latin-300.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
}
/* montserrat-regular - latin */
@font-face {
font-family: 'Montserrat';
font-style: normal;
font-weight: 400;
src: local(''),
url('../fonts/montserrat-v25-latin-regular.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
url('../fonts/montserrat-v25-latin-regular.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
}
/* montserrat-700 - latin */
@font-face {
font-family: 'Montserrat';
font-style: normal;
font-weight: 700;
src: local(''),
url('../fonts/montserrat-v25-latin-700.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
url('../fonts/montserrat-v25-latin-700.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
}
/* roboto-300 - latin */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 300;
src: local(''),
url('../fonts/roboto-v30-latin-300.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
url('../fonts/roboto-v30-latin-300.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
}
/* roboto-regular - latin */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 400;
src: local(''),
url('../fonts/roboto-v30-latin-regular.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
url('../fonts/roboto-v30-latin-regular.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
}
/* roboto-700 - latin */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 700;
src: local(''),
url('../fonts/roboto-v30-latin-700.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
url('../fonts/roboto-v30-latin-700.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
}

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@ -1,24 +0,0 @@
<!DOCTYPE html>
<html>
<head>
<title>Garage Adminstration API v0</title>
<!-- needed for adaptive design -->
<meta charset="utf-8"/>
<meta name="viewport" content="width=device-width, initial-scale=1">
<link href="./css/redoc.css" rel="stylesheet">
<!--
Redoc doesn't change outer page styles
-->
<style>
body {
margin: 0;
padding: 0;
}
</style>
</head>
<body>
<redoc spec-url='./garage-admin-v0.yml'></redoc>
<script src="./redoc.standalone.js"> </script>
</body>
</html>

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@ -1,24 +0,0 @@
<!DOCTYPE html>
<html>
<head>
<title>Garage Adminstration API v0</title>
<!-- needed for adaptive design -->
<meta charset="utf-8"/>
<meta name="viewport" content="width=device-width, initial-scale=1">
<link href="./css/redoc.css" rel="stylesheet">
<!--
Redoc doesn't change outer page styles
-->
<style>
body {
margin: 0;
padding: 0;
}
</style>
</head>
<body>
<redoc spec-url='./garage-admin-v1.yml'></redoc>
<script src="./redoc.standalone.js"> </script>
</body>
</html>

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@ -1,54 +0,0 @@
+++
title = "Build your own app"
weight = 40
sort_by = "weight"
template = "documentation.html"
+++
Garage has many API that you can rely on to build complex applications.
In this section, we reference the existing SDKs and give some code examples.
## ⚠️ DISCLAIMER
**K2V AND ADMIN SDK ARE TECHNICAL PREVIEWS**. The following limitations apply:
- The API is not complete, some actions are possible only through the `garage` binary
- The underlying admin API is not yet stable nor complete, it can breaks at any time
- The generator configuration is currently tweaked, the library might break at any time due to a generator change
- Because the API and the library are not stable, none of them are published in a package manager (npm, pypi, etc.)
- This code has not been extensively tested, some things might not work (please report!)
To have the best experience possible, please consider:
- Make sure that the version of the library you are using is pinned (`go.sum`, `package-lock.json`, `requirements.txt`).
- Before upgrading your Garage cluster, make sure that you can find a version of this SDK that works with your targeted version and that you are able to update your own code to work with this new version of the library.
- Join our Matrix channel at `#garage:deuxfleurs.fr`, say that you are interested by this SDK, and report any friction.
- If stability is critical, mirror this repository on your own infrastructure, regenerate the SDKs and upgrade them at your own pace.
## About the APIs
Code can interact with Garage through 3 different APIs: S3, K2V, and Admin.
Each of them has a specific scope.
### S3
De-facto standard, introduced by Amazon, designed to store blobs of data.
### K2V
A simple database API similar to RiakKV or DynamoDB.
Think a key value store with some additional operations.
Its design is inspired by Distributed Hash Tables (DHT).
More information:
- [In the reference manual](@/documentation/reference-manual/k2v.md)
### Administration
Garage operations can also be automated through a REST API.
We are currently building this SDK for [Python](@/documentation/build/python.md#admin-api), [Javascript](@/documentation/build/javascript.md#administration) and [Golang](@/documentation/build/golang.md#administration).
More information:
- [In the reference manual](@/documentation/reference-manual/admin-api.md)
- [Full specifiction](https://garagehq.deuxfleurs.fr/api/garage-admin-v0.html)

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@ -1,123 +0,0 @@
+++
title = "Golang"
weight = 30
+++
## S3
*Coming soon*
Some refs:
- Minio minio-go-sdk
- [Reference](https://docs.min.io/docs/golang-client-api-reference.html)
- Amazon aws-sdk-go-v2
- [Installation](https://aws.github.io/aws-sdk-go-v2/docs/getting-started/)
- [Reference](https://pkg.go.dev/github.com/aws/aws-sdk-go-v2/service/s3)
- [Example](https://aws.github.io/aws-sdk-go-v2/docs/code-examples/s3/putobject/)
## K2V
*Coming soon*
## Administration
Install the SDK with:
```bash
go get git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-golang
```
A short example:
```go
package main
import (
"context"
"fmt"
"os"
"strings"
garage "git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-golang"
)
func main() {
// Initialization
configuration := garage.NewConfiguration()
configuration.Host = "127.0.0.1:3903"
client := garage.NewAPIClient(configuration)
ctx := context.WithValue(context.Background(), garage.ContextAccessToken, "s3cr3t")
// Nodes
fmt.Println("--- nodes ---")
nodes, _, _ := client.NodesApi.GetNodes(ctx).Execute()
fmt.Fprintf(os.Stdout, "First hostname: %v\n", nodes.KnownNodes[0].Hostname)
capa := int64(1000000000)
change := []garage.NodeRoleChange{
garage.NodeRoleChange{NodeRoleUpdate: &garage.NodeRoleUpdate {
Id: *nodes.KnownNodes[0].Id,
Zone: "dc1",
Capacity: *garage.NewNullableInt64(&capa),
Tags: []string{ "fast", "amd64" },
}},
}
staged, _, _ := client.LayoutApi.AddLayout(ctx).NodeRoleChange(change).Execute()
msg, _, _ := client.LayoutApi.ApplyLayout(ctx).LayoutVersion(*garage.NewLayoutVersion(staged.Version + 1)).Execute()
fmt.Printf(strings.Join(msg.Message, "\n")) // Layout configured
health, _, _ := client.NodesApi.GetHealth(ctx).Execute()
fmt.Printf("Status: %s, nodes: %v/%v, storage: %v/%v, partitions: %v/%v\n", health.Status, health.ConnectedNodes, health.KnownNodes, health.StorageNodesOk, health.StorageNodes, health.PartitionsAllOk, health.Partitions)
// Key
fmt.Println("\n--- key ---")
key := "openapi-key"
keyInfo, _, _ := client.KeyApi.AddKey(ctx).AddKeyRequest(garage.AddKeyRequest{Name: *garage.NewNullableString(&key) }).Execute()
defer client.KeyApi.DeleteKey(ctx).Id(*keyInfo.AccessKeyId).Execute()
fmt.Printf("AWS_ACCESS_KEY_ID=%s\nAWS_SECRET_ACCESS_KEY=%s\n", *keyInfo.AccessKeyId, *keyInfo.SecretAccessKey.Get())
id := *keyInfo.AccessKeyId
canCreateBucket := true
updateKeyRequest := *garage.NewUpdateKeyRequest()
updateKeyRequest.SetName("openapi-key-updated")
updateKeyRequest.SetAllow(garage.UpdateKeyRequestAllow { CreateBucket: &canCreateBucket })
update, _, _ := client.KeyApi.UpdateKey(ctx).Id(id).UpdateKeyRequest(updateKeyRequest).Execute()
fmt.Printf("Updated %v with key name %v\n", *update.AccessKeyId, *update.Name)
keyList, _, _ := client.KeyApi.ListKeys(ctx).Execute()
fmt.Printf("Keys count: %v\n", len(keyList))
// Bucket
fmt.Println("\n--- bucket ---")
global_name := "global-ns-openapi-bucket"
local_name := "local-ns-openapi-bucket"
bucketInfo, _, _ := client.BucketApi.CreateBucket(ctx).CreateBucketRequest(garage.CreateBucketRequest{
GlobalAlias: &global_name,
LocalAlias: &garage.CreateBucketRequestLocalAlias {
AccessKeyId: keyInfo.AccessKeyId,
Alias: &local_name,
},
}).Execute()
defer client.BucketApi.DeleteBucket(ctx).Id(*bucketInfo.Id).Execute()
fmt.Printf("Bucket id: %s\n", *bucketInfo.Id)
updateBucketRequest := *garage.NewUpdateBucketRequest()
website := garage.NewUpdateBucketRequestWebsiteAccess()
website.SetEnabled(true)
website.SetIndexDocument("index.html")
website.SetErrorDocument("errors/4xx.html")
updateBucketRequest.SetWebsiteAccess(*website)
quotas := garage.NewUpdateBucketRequestQuotas()
quotas.SetMaxSize(1000000000)
quotas.SetMaxObjects(999999999)
updateBucketRequest.SetQuotas(*quotas)
updatedBucket, _, _ := client.BucketApi.UpdateBucket(ctx).Id(*bucketInfo.Id).UpdateBucketRequest(updateBucketRequest).Execute()
fmt.Printf("Bucket %v website activation: %v\n", *updatedBucket.Id, *updatedBucket.WebsiteAccess)
bucketList, _, _ := client.BucketApi.ListBuckets(ctx).Execute()
fmt.Printf("Bucket count: %v\n", len(bucketList))
}
```
See also:
- [generated doc](https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-golang)
- [examples](https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-generator/src/branch/main/example/golang)

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@ -1,55 +0,0 @@
+++
title = "Javascript"
weight = 10
+++
## S3
*Coming soon*.
Some refs:
- Minio SDK
- [Reference](https://docs.min.io/docs/javascript-client-api-reference.html)
- Amazon aws-sdk-js
- [Installation](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/getting-started.html)
- [Reference](https://docs.aws.amazon.com/AWSJavaScriptSDK/latest/AWS/S3.html)
- [Example](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-creating-buckets.html)
## K2V
*Coming soon*
## Administration
Install the SDK with:
```bash
npm install --save git+https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-js.git
```
A short example:
```javascript
const garage = require('garage_administration_api_v1garage_v0_9_0');
const api = new garage.ApiClient("http://127.0.0.1:3903/v1");
api.authentications['bearerAuth'].accessToken = "s3cr3t";
const [node, layout, key, bucket] = [
new garage.NodesApi(api),
new garage.LayoutApi(api),
new garage.KeyApi(api),
new garage.BucketApi(api),
];
node.getNodes().then((data) => {
console.log(`nodes: ${Object.values(data.knownNodes).map(n => n.hostname)}`)
}, (error) => {
console.error(error);
});
```
See also:
- [sdk repository](https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-js)
- [examples](https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-generator/src/branch/main/example/javascript)

View File

@ -1,139 +0,0 @@
+++
title = "Python"
weight = 20
+++
## S3
### Using Minio SDK
First install the SDK:
```bash
pip3 install minio
```
Then instantiate a client object using garage root domain, api key and secret:
```python
import minio
client = minio.Minio(
"your.domain.tld",
"GKyourapikey",
"abcd[...]1234",
# Force the region, this is specific to garage
region="region",
)
```
Then use all the standard S3 endpoints as implemented by the Minio SDK:
```
# List buckets
print(client.list_buckets())
# Put an object containing 'content' to /path in bucket named 'bucket':
content = b"content"
client.put_object(
"bucket",
"path",
io.BytesIO(content),
len(content),
)
# Read the object back and check contents
data = client.get_object("bucket", "path").read()
assert data == content
```
For further documentation, see the Minio SDK
[Reference](https://docs.min.io/docs/python-client-api-reference.html)
### Using Amazon boto3
*Coming soon*
See the official documentation:
- [Installation](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/quickstart.html)
- [Reference](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3.html)
- [Example](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/s3-uploading-files.html)
## K2V
*Coming soon*
## Admin API
You need at least Python 3.6, pip, and setuptools.
Because the python package is in a subfolder, the command is a bit more complicated than usual:
```bash
pip3 install --user 'git+https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-python'
```
Now, let imagine you have a fresh Garage instance running on localhost, with the admin API configured on port 3903 with the bearer `s3cr3t`:
```python
import garage_admin_sdk
from garage_admin_sdk.apis import *
from garage_admin_sdk.models import *
configuration = garage_admin_sdk.Configuration(
host = "http://localhost:3903/v1",
access_token = "s3cr3t"
)
# Init APIs
api = garage_admin_sdk.ApiClient(configuration)
nodes, layout, keys, buckets = NodesApi(api), LayoutApi(api), KeyApi(api), BucketApi(api)
# Display some info on the node
status = nodes.get_nodes()
print(f"running garage {status.garage_version}, node_id {status.node}")
# Change layout of this node
current = layout.get_layout()
layout.add_layout([
NodeRoleChange(
id = status.node,
zone = "dc1",
capacity = 1000000000,
tags = [ "dev" ],
)
])
layout.apply_layout(LayoutVersion(
version = current.version + 1
))
# Create key, allow it to create buckets
kinfo = keys.add_key(AddKeyRequest(name="openapi"))
allow_create = UpdateKeyRequestAllow(create_bucket=True)
keys.update_key(kinfo.access_key_id, UpdateKeyRequest(allow=allow_create))
# Create a bucket, allow key, set quotas
binfo = buckets.create_bucket(CreateBucketRequest(global_alias="documentation"))
binfo = buckets.allow_bucket_key(AllowBucketKeyRequest(
bucket_id=binfo.id,
access_key_id=kinfo.access_key_id,
permissions=AllowBucketKeyRequestPermissions(read=True, write=True, owner=True),
))
binfo = buckets.update_bucket(binfo.id, UpdateBucketRequest(
quotas=UpdateBucketRequestQuotas(max_size=19029801,max_objects=1500)))
# Display key
print(f"""
cluster ready
key id is {kinfo.access_key_id}
secret key is {kinfo.secret_access_key}
bucket {binfo.global_aliases[0]} contains {binfo.objects}/{binfo.quotas.max_objects} objects
""")
```
*This example is named `short.py` in the example folder. Other python examples are also available.*
See also:
- [sdk repo](https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-python)
- [examples](https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-generator/src/branch/main/example/python)

View File

@ -1,47 +0,0 @@
+++
title = "Rust"
weight = 40
+++
## S3
*Coming soon*
Some refs:
- Amazon aws-rust-sdk
- [Github](https://github.com/awslabs/aws-sdk-rust)
## K2V
*Coming soon*
Some refs: https://git.deuxfleurs.fr/Deuxfleurs/garage/src/branch/main/src/k2v-client
```bash
# all these values can be provided on the cli instead
export AWS_ACCESS_KEY_ID=GK123456
export AWS_SECRET_ACCESS_KEY=0123..789
export AWS_REGION=garage
export K2V_ENDPOINT=http://172.30.2.1:3903
export K2V_BUCKET=my-bucket
cargo run --features=cli -- read-range my-partition-key --all
cargo run --features=cli -- insert my-partition-key my-sort-key --text "my string1"
cargo run --features=cli -- insert my-partition-key my-sort-key --text "my string2"
cargo run --features=cli -- insert my-partition-key my-sort-key2 --text "my string"
cargo run --features=cli -- read-range my-partition-key --all
causality=$(cargo run --features=cli -- read my-partition-key my-sort-key2 -b | head -n1)
cargo run --features=cli -- delete my-partition-key my-sort-key2 -c $causality
causality=$(cargo run --features=cli -- read my-partition-key my-sort-key -b | head -n1)
cargo run --features=cli -- insert my-partition-key my-sort-key --text "my string3" -c $causality
cargo run --features=cli -- read-range my-partition-key --all
```
## Admin API
*Coming soon*

View File

@ -1,6 +1,6 @@
+++
title = "Existing integrations"
weight = 30
title = "Integrations"
weight = 3
sort_by = "weight"
template = "documentation.html"
+++
@ -10,12 +10,12 @@ Garage implements the Amazon S3 protocol, which makes it compatible with many ex
In particular, you will find here instructions to connect it with:
- [Applications](@/documentation/connect/apps/index.md)
- [Browsing tools](@/documentation/connect/cli.md)
- [FUSE](@/documentation/connect/fs.md)
- [Observability](@/documentation/connect/observability.md)
- [Software repositories](@/documentation/connect/repositories.md)
- [Applications](@/documentation/connect/apps/index.md)
- [Website hosting](@/documentation/connect/websites.md)
- [Software repositories](@/documentation/connect/repositories.md)
- [Your own code](@/documentation/connect/code.md)
- [FUSE](@/documentation/connect/fs.md)
### Generic instructions

View File

@ -8,13 +8,12 @@ In this section, we cover the following web applications:
| Name | Status | Note |
|------|--------|------|
| [Nextcloud](#nextcloud) | ✅ | Both Primary Storage and External Storage are supported |
| [Peertube](#peertube) | ✅ | Supported with the website endpoint, proxifying private videos unsupported |
| [Mastodon](#mastodon) | ✅ | Natively supported |
| [Peertube](#peertube) | ✅ | Must be configured with the website endpoint |
| [Mastodon](#mastodon) | ❓ | Not yet tested |
| [Matrix](#matrix) | ✅ | Tested with `synapse-s3-storage-provider` |
| [ejabberd](#ejabberd) | ✅ | `mod_s3_upload` |
| [Pixelfed](#pixelfed) | ❓ | Not yet tested |
| [Pleroma](#pleroma) | ❓ | Not yet tested |
| [Lemmy](#lemmy) | ✅ | Supported with pict-rs |
| [Lemmy](#lemmy) | ❓ | Not yet tested |
| [Funkwhale](#funkwhale) | ❓ | Not yet tested |
| [Misskey](#misskey) | ❓ | Not yet tested |
| [Prismo](#prismo) | ❓ | Not yet tested |
@ -37,7 +36,7 @@ Second, we suppose you have created a key and a bucket.
As a reminder, you can create a key for your nextcloud instance as follow:
```bash
garage key create nextcloud-key
garage key new --name nextcloud-key
```
Keep the Key ID and the Secret key in a pad, they will be needed later.
@ -129,17 +128,13 @@ In other words, Peertube is only responsible of the "control plane" and offload
In return, this system is a bit harder to configure.
We show how it is still possible to configure Garage with Peertube, allowing you to spread the load and the bandwidth usage on the Garage cluster.
Starting from version 5.0, Peertube also supports improving the security for private videos by not exposing them directly
but relying on a single control point in the Peertube instance. This is based on S3 per-object and prefix ACL, which are not currently supported
in Garage, so this feature is unsupported. While this technically impedes security for private videos, it is not a blocking issue and could be
a reasonable trade-off for some instances.
### Create resources in Garage
Create a key for Peertube:
```bash
garage key create peertube-key
garage key new --name peertube-key
```
Keep the Key ID and the Secret key in a pad, they will be needed later.
@ -200,11 +195,6 @@ object_storage:
max_upload_part: 2GB
proxy:
# You may enable this feature, yet it will not provide any security benefit, so
# you should rather benefit from Garage public endpoint for all videos
proxify_private_files: false
streaming_playlists:
bucket_name: 'peertube-playlist'
@ -234,135 +224,7 @@ You can now reload the page and see in your browser console that data are fetche
## Mastodon
Mastodon natively supports the S3 protocol to store media files, and it works out-of-the-box with Garage.
You will need to expose your Garage bucket as a website: that way, media files will be served directly from Garage.
### Performance considerations
Mastodon tends to store many small objects over time: expect hundreds of thousands of objects,
with average object size ranging from 50 KB to 150 KB.
As such, your Garage cluster should be configured appropriately for good performance:
- use Garage v0.8.0 or higher with the [LMDB database engine](@documentation/reference-manual/configuration.md#db-engine-since-v0-8-0).
With the default Sled database engine, your database could quickly end up taking tens of GB of disk space.
- the Garage database should be stored on a SSD
### Creating your bucket
This is the usual Garage setup:
```bash
garage key create mastodon-key
garage bucket create mastodon-data
garage bucket allow mastodon-data --read --write --key mastodon-key
```
Note the Key ID and Secret Key.
### Exposing your bucket as a website
Create a DNS name to serve your media files, such as `my-social-media.mydomain.tld`.
This name will be publicly exposed to the users of your Mastodon instance: they
will load images directly from this DNS name.
As [documented here](@/documentation/cookbook/exposing-websites.md),
add this DNS name as alias to your bucket, and expose it as a website:
```bash
garage bucket alias mastodon-data my-social-media.mydomain.tld
garage bucket website --allow mastodon-data
```
Then you will likely need to [setup a reverse proxy](@/documentation/cookbook/reverse-proxy.md)
in front of it to serve your media files over HTTPS.
### Cleaning up old media files before migration
Mastodon instance quickly accumulate a lot of media files from the federation.
Most of them are not strictly necessary because they can be fetched again from
other servers. As such, it is highly recommended to clean them up before
migration, this will greatly reduce the migration time.
From the [official Mastodon documentation](https://docs.joinmastodon.org/admin/tootctl/#media):
```bash
$ RAILS_ENV=production bin/tootctl media remove --days 3
$ RAILS_ENV=production bin/tootctl media remove-orphans
$ RAILS_ENV=production bin/tootctl preview_cards remove --days 15
```
Here is a typical disk usage for a small but multi-year instance after cleanup:
```bash
$ RAILS_ENV=production bin/tootctl media usage
Attachments: 5.67 GB (1.14 GB local)
Custom emoji: 295 MB (0 Bytes local)
Preview cards: 154 MB
Avatars: 3.77 GB (127 KB local)
Headers: 8.72 GB (242 KB local)
Backups: 0 Bytes
Imports: 1.7 KB
Settings: 0 Bytes
```
Unfortunately, [old avatars and headers cannot currently be cleaned up](https://github.com/mastodon/mastodon/issues/9567).
### Migrating your data
Data migration should be done with an efficient S3 client.
The [minio client](@documentation/connect/cli.md#minio-client) is a good choice
thanks to its mirror mode:
```bash
mc mirror ./public/system/ garage/mastodon-data
```
Here is a typical bucket usage after all data has been migrated:
```bash
$ garage bucket info mastodon-data
Size: 20.3 GiB (21.8 GB)
Objects: 175968
```
### Configuring Mastodon
In your `.env.production` configuration file:
```bash
S3_ENABLED=true
# Internal access to Garage
S3_ENDPOINT=http://my-garage-instance.mydomain.tld:3900
S3_REGION=garage
S3_BUCKET=mastodon-data
# Change this (Key ID and Secret Key of your Garage key)
AWS_ACCESS_KEY_ID=GKe88df__CHANGETHIS__c5145
AWS_SECRET_ACCESS_KEY=a2f7__CHANGETHIS__77fcfcf7a58f47a4aa4431f2e675c56da37821a1070000
# What name gets exposed to users (HTTPS is implicit)
S3_ALIAS_HOST=my-social-media.mydomain.tld
```
For more details, see the [reference Mastodon documentation](https://docs.joinmastodon.org/admin/config/#cdn).
Restart all Mastodon services and everything should now be using Garage!
You can check the URLs of images in the Mastodon web client, they should start
with `https://my-social-media.mydomain.tld`.
### Last migration sync
After Mastodon is successfully using Garage, you can run a last sync from the local filesystem to Garage:
```bash
mc mirror --newer-than "3h" ./public/system/ garage/mastodon-data
```
### References
[cybrespace's guide to migrate to S3](https://github.com/cybrespace/cybrespace-meta/blob/master/s3.md)
(the guide is for Amazon S3, so the configuration is a bit different, but the rest is similar)
https://docs.joinmastodon.org/admin/config/#cdn
## Matrix
@ -379,7 +241,7 @@ Supposing you have a working synapse installation, you can add the module with p
Now create a bucket and a key for your matrix instance (note your Key ID and Secret Key somewhere, they will be needed later):
```bash
garage key create matrix-key
garage key new --name matrix-key
garage bucket create matrix
garage bucket allow matrix --read --write --key matrix-key
```
@ -421,7 +283,7 @@ Now we can write a simple script (eg `~/.local/bin/matrix-cache-gc`):
## CONFIGURATION ##
AWS_ACCESS_KEY_ID=GKxxx
AWS_SECRET_ACCESS_KEY=xxxx
AWS_ENDPOINT_URL=http://localhost:3900
S3_ENDPOINT=http://localhost:3900
S3_BUCKET=matrix
MEDIA_STORE=/var/lib/matrix-synapse/media
PG_USER=matrix
@ -442,7 +304,7 @@ EOF
s3_media_upload update-db 1d
s3_media_upload --no-progress check-deleted $MEDIA_STORE
s3_media_upload --no-progress upload $MEDIA_STORE $S3_BUCKET --delete --endpoint-url $AWS_ENDPOINT_URL
s3_media_upload --no-progress upload $MEDIA_STORE $S3_BUCKET --delete --endpoint-url $S3_ENDPOINT
```
This script will list all the medias that were not accessed in the 24 hours according to your database.
@ -475,52 +337,6 @@ And add a new line. For example, to run it every 10 minutes:
*External link:* [matrix-media-repo Documentation > S3](https://docs.t2bot.io/matrix-media-repo/configuration/s3-datastore.html)
## ejabberd
ejabberd is an XMPP server implementation which, with the `mod_s3_upload`
module in the [ejabberd-contrib](https://github.com/processone/ejabberd-contrib)
repository, can be integrated to store chat media files in Garage.
For uploads, this module leverages presigned URLs - this allows XMPP clients to
directly send media to Garage. Receiving clients then retrieve this media
through the [static website](@/documentation/cookbook/exposing-websites.md)
functionality.
As the data itself is publicly accessible to someone with knowledge of the
object URL - users are recommended to use
[E2EE](@/documentation/cookbook/encryption.md) to protect this data-at-rest
from unauthorized access.
Install the module with:
```bash
ejabberdctl module_install mod_s3_upload
```
Create the required key and bucket with:
```bash
garage key new --name ejabberd
garage bucket create objects.xmpp-server.fr
garage bucket allow objects.xmpp-server.fr --read --write --key ejabberd
garage bucket website --allow objects.xmpp-server.fr
```
The module can then be configured with:
```
mod_s3_upload:
#bucket_url: https://objects.xmpp-server.fr.my-garage-instance.mydomain.tld
bucket_url: https://my-garage-instance.mydomain.tld/objects.xmpp-server.fr
access_key_id: GK...
access_key_secret: ...
region: garage
download_url: https://objects.xmpp-server.fr
```
Other configuration options can be found in the
[configuration YAML file](https://github.com/processone/ejabberd-contrib/blob/master/mod_s3_upload/conf/mod_s3_upload.yml).
## Pixelfed
[Pixelfed Technical Documentation > Configuration](https://docs.pixelfed.org/technical-documentation/env.html#filesystem)
@ -531,68 +347,7 @@ Other configuration options can be found in the
## Lemmy
Lemmy uses pict-rs that [supports S3 backends](https://git.asonix.dog/asonix/pict-rs/commit/f9f4fc63d670f357c93f24147c2ee3e1278e2d97).
This feature requires `pict-rs >= 4.0.0`.
### Creating your bucket
This is the usual Garage setup:
```bash
garage key new --name pictrs-key
garage bucket create pictrs-data
garage bucket allow pictrs-data --read --write --key pictrs-key
```
Note the Key ID and Secret Key.
### Migrating your data
If your pict-rs instance holds existing data, you first need to migrate to the S3 bucket.
Stop pict-rs, then run the migration utility from local filesystem to the bucket:
```
pict-rs \
filesystem -p /path/to/existing/files \
object-store \
-e my-garage-instance.mydomain.tld:3900 \
-b pictrs-data \
-r garage \
-a GK... \
-s abcdef0123456789...
```
This is pretty slow, so hold on while migrating.
### Running pict-rs with an S3 backend
Pict-rs supports both a configuration file and environment variables.
Either set the following section in your `pict-rs.toml`:
```
[store]
type = 'object_storage'
endpoint = 'http://my-garage-instance.mydomain.tld:3900'
bucket_name = 'pictrs-data'
region = 'garage'
access_key = 'GK...'
secret_key = 'abcdef0123456789...'
```
... or set these environment variables:
```
PICTRS__STORE__TYPE=object_storage
PICTRS__STORE__ENDPOINT=http://my-garage-instance.mydomain.tld:3900
PICTRS__STORE__BUCKET_NAME=pictrs-data
PICTRS__STORE__REGION=garage
PICTRS__STORE__ACCESS_KEY=GK...
PICTRS__STORE__SECRET_KEY=abcdef0123456789...
```
Lemmy uses pict-rs that [supports S3 backends](https://git.asonix.dog/asonix/pict-rs/commit/f9f4fc63d670f357c93f24147c2ee3e1278e2d97)
## Funkwhale

View File

@ -13,48 +13,14 @@ Borg Backup is very popular among the backup tools but it is not yet compatible
We recommend using any other tool listed in this guide because they are all compatible with the S3 API.
If you still want to use Borg, you can use it with `rclone mount`.
## git-annex
[git-annex](https://git-annex.branchable.com/) supports synchronizing files
with its [S3 special remote](https://git-annex.branchable.com/special_remotes/S3/).
Note that `git-annex` requires to be compiled with Haskell package version
`aws-0.24` to work with Garage.
```bash
garage key new --name my-key
garage bucket create my-git-annex
garage bucket allow my-git-annex --read --write --key my-key
```
Register your Key ID and Secret key in your environment:
```bash
export AWS_ACCESS_KEY_ID=GKxxx
export AWS_SECRET_ACCESS_KEY=xxxx
```
Within a git-annex enabled repository, configure your Garage S3 endpoint with
the following command:
```bash
git annex initremote garage type=S3 encryption=none host=my-garage-instance.mydomain.tld protocol=https bucket=my-git-annex requeststyle=path region=garage signature=v4
```
Files can now be synchronized using the usual `git-annex` `copy` or `get`
commands.
Note that for simplicity - this example does not enable encryption for the files
sent to Garage - please refer to the
[git-annex encryption page](https://git-annex.branchable.com/encryption/) for
how to configure this.
## Restic
Create your key and bucket:
```bash
garage key create my-key
garage key new my-key
garage bucket create backup
garage bucket allow backup --read --write --key my-key
```
@ -105,7 +71,6 @@ restic restore 79766175 --target /var/lib/postgresql
Restic has way more features than the ones presented here.
You can discover all of them by accessing its documentation from the link below.
Files on Android devices can also be backed up with [restic-android](https://github.com/lhns/restic-android).
*External links:* [Restic Documentation > Amazon S3](https://restic.readthedocs.io/en/stable/030_preparing_a_new_repo.html#amazon-s3)

View File

@ -12,7 +12,6 @@ These tools are particularly suitable for debug, backups, website deployments or
| [AWS CLI](#aws-cli) | ✅ | Recommended |
| [rclone](#rclone) | ✅ | |
| [s3cmd](#s3cmd) | ✅ | |
| [s5cmd](#s5cmd) | ✅ | |
| [(Cyber)duck](#cyberduck) | ✅ | |
| [WinSCP (libs3)](#winscp) | ✅ | CLI instructions only |
| [sftpgo](#sftpgo) | ✅ | |
@ -70,17 +69,16 @@ Then a file named `~/.aws/config` and put:
```toml
[default]
region=garage
endpoint_url=http://127.0.0.1:3900
```
Now, supposing Garage is listening on `http://127.0.0.1:3900`, you can list your buckets with:
```bash
aws s3 ls
aws --endpoint-url http://127.0.0.1:3900 s3 ls
```
If you're using awscli `<1.29.0` or `<2.13.0`, you need to pass `--endpoint-url` to each CLI invocation explicitly.
As a workaround, you can redefine the aws command by editing the file `~/.bashrc` in this case:
Passing the `--endpoint-url` parameter to each command is annoying but AWS developers do not provide a corresponding configuration entry.
As a workaround, you can redefine the aws command by editing the file `~/.bashrc`:
```
function aws { command aws --endpoint-url http://127.0.0.1:3900 $@ ; }
@ -180,34 +178,59 @@ s3cmd put /tmp/hello.txt s3://my-bucket/
s3cmd get s3://my-bucket/hello.txt hello.txt
```
## `s5cmd`
Configure a credentials file as follows:
```bash
export AWS_ACCESS_KEY_ID=GK...
export AWS_SECRET_ACCESS_KEY=
export AWS_DEFAULT_REGION='garage'
export AWS_ENDPOINT='http://localhost:3900'
```
After adding these environment variables in your shell, `s5cmd` can be used
with:
```bash
s5cmd --endpoint-url=$AWS_ENDPOINT ls
```
See its usage output for other commands available.
## Cyberduck & duck {#cyberduck}
Both Cyberduck (the GUI) and duck (the CLI) have a concept of "Connection Profiles" that contain some presets for a specific provider.
We wrote the following connection profile for Garage:
Within Cyberduck, a
[Garage connection profile](https://docs.cyberduck.io/protocols/s3/garage/) is
available within the `Preferences -> Profiles` section. This can enabled and
then connections to Garage may be configured.
```xml
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>Protocol</key>
<string>s3</string>
<key>Vendor</key>
<string>garage</string>
<key>Scheme</key>
<string>https</string>
<key>Description</key>
<string>GarageS3</string>
<key>Default Hostname</key>
<string>127.0.0.1</string>
<key>Default Port</key>
<string>4443</string>
<key>Hostname Configurable</key>
<false/>
<key>Port Configurable</key>
<false/>
<key>Username Configurable</key>
<true/>
<key>Username Placeholder</key>
<string>Access Key ID (GK...)</string>
<key>Password Placeholder</key>
<string>Secret Key</string>
<key>Properties</key>
<array>
<string>s3service.disable-dns-buckets=true</string>
</array>
<key>Region</key>
<string>garage</string>
<key>Regions</key>
<array>
<string>garage</string>
</array>
</dict>
</plist>
```
*Note: If your garage instance is configured with vhost access style, you can remove `s3service.disable-dns-buckets=true`.*
### Instructions for the GUI
Copy the connection profile, and save it anywhere as `garage.cyberduckprofile`.
Then find this file with your file explorer and double click on it: Cyberduck will open a connection wizard for this profile.
Simply follow the wizard and you should be done!
### Instuctions for the CLI

View File

@ -1,10 +1,8 @@
+++
title = "Others"
weight = 99
title = "Your code (PHP, JS, Go...)"
weight = 30
+++
## S3
If you are developping a new application, you may want to use Garage to store your user's media.
The S3 API that Garage uses is a standard REST API, so as long as you can make HTTP requests,
@ -15,14 +13,44 @@ Instead, there are some libraries already avalaible.
Some of them are maintained by Amazon, some by Minio, others by the community.
### PHP
## PHP
- Amazon aws-sdk-php
- [Installation](https://docs.aws.amazon.com/sdk-for-php/v3/developer-guide/getting-started_installation.html)
- [Reference](https://docs.aws.amazon.com/aws-sdk-php/v3/api/api-s3-2006-03-01.html)
- [Example](https://docs.aws.amazon.com/sdk-for-php/v3/developer-guide/s3-examples-creating-buckets.html)
### Java
## Javascript
- Minio SDK
- [Reference](https://docs.min.io/docs/javascript-client-api-reference.html)
- Amazon aws-sdk-js
- [Installation](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/getting-started.html)
- [Reference](https://docs.aws.amazon.com/AWSJavaScriptSDK/latest/AWS/S3.html)
- [Example](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-creating-buckets.html)
## Golang
- Minio minio-go-sdk
- [Reference](https://docs.min.io/docs/golang-client-api-reference.html)
- Amazon aws-sdk-go-v2
- [Installation](https://aws.github.io/aws-sdk-go-v2/docs/getting-started/)
- [Reference](https://pkg.go.dev/github.com/aws/aws-sdk-go-v2/service/s3)
- [Example](https://aws.github.io/aws-sdk-go-v2/docs/code-examples/s3/putobject/)
## Python
- Minio SDK
- [Reference](https://docs.min.io/docs/python-client-api-reference.html)
- Amazon boto3
- [Installation](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/quickstart.html)
- [Reference](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3.html)
- [Example](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/s3-uploading-files.html)
## Java
- Minio SDK
- [Reference](https://docs.min.io/docs/java-client-api-reference.html)
@ -32,18 +60,23 @@ Some of them are maintained by Amazon, some by Minio, others by the community.
- [Reference](https://sdk.amazonaws.com/java/api/latest/software/amazon/awssdk/services/s3/S3Client.html)
- [Example](https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/examples-s3-objects.html)
### .NET
## Rust
- Amazon aws-rust-sdk
- [Github](https://github.com/awslabs/aws-sdk-rust)
## .NET
- Minio SDK
- [Reference](https://docs.min.io/docs/dotnet-client-api-reference.html)
- Amazon aws-dotnet-sdk
### C++
## C++
- Amazon aws-cpp-sdk
### Haskell
## Haskell
- Minio SDK
- [Reference](https://docs.min.io/docs/haskell-client-api-reference.html)

View File

@ -1,57 +0,0 @@
+++
title = "Observability"
weight = 25
+++
An object store can be used as data storage location for metrics, and logs which
can then be leveraged for systems observability.
## Metrics
### Prometheus
Prometheus itself has no object store capabilities, however two projects exist
which support storing metrics in an object store:
- [Cortex](https://cortexmetrics.io/)
- [Thanos](https://thanos.io/)
## System logs
### Vector
[Vector](https://vector.dev/) natively supports S3 as a
[data sink](https://vector.dev/docs/reference/configuration/sinks/aws_s3/)
(and [source](https://vector.dev/docs/reference/configuration/sources/aws_s3/)).
This can be configured with Garage with the following:
```bash
garage key new --name vector-system-logs
garage bucket create system-logs
garage bucket allow system-logs --read --write --key vector-system-logs
```
The `vector.toml` can then be configured as follows:
```toml
[sources.journald]
type = "journald"
current_boot_only = true
[sinks.out]
encoding.codec = "json"
type = "aws_s3"
inputs = [ "journald" ]
bucket = "system-logs"
key_prefix = "%F/"
compression = "none"
region = "garage"
endpoint = "https://my-garage-instance.mydomain.tld"
auth.access_key_id = ""
auth.secret_access_key = ""
```
This is an example configuration - please refer to the Vector documentation for
all configuration and transformation possibilities. Also note that Garage
performs its own compression, so this should be disabled in Vector.

View File

@ -23,7 +23,7 @@ You can configure a different target for each data type (check `[lfs]` and `[att
Let's start by creating a key and a bucket (your key id and secret will be needed later, keep them somewhere):
```bash
garage key create gitea-key
garage key new --name gitea-key
garage bucket create gitea
garage bucket allow gitea --read --write --key gitea-key
```
@ -118,7 +118,7 @@ through another support, like a git repository.
As a first step, we will need to create a bucket on Garage and enabling website access on it:
```bash
garage key create nix-key
garage key new --name nix-key
garage bucket create nix.example.com
garage bucket allow nix.example.com --read --write --key nix-key
garage bucket website nix.example.com --allow

View File

@ -1,12 +1,12 @@
+++
title="Cookbook"
template = "documentation.html"
weight = 20
weight = 2
sort_by = "weight"
+++
A cookbook, when you cook, is a collection of recipes.
Similarly, Garage's cookbook contains a collection of recipes that are known to work well!
Similarly, Garage's cookbook contains a collection of recipes that are known to works well!
This chapter could also be referred as "Tutorials" or "Best practices".
- **[Multi-node deployment](@/documentation/cookbook/real-world.md):** This page will walk you through all of the necessary
@ -16,10 +16,6 @@ This chapter could also be referred as "Tutorials" or "Best practices".
source in case a binary is not provided for your architecture, or if you want to
hack with us!
- **[Binary packages](@/documentation/cookbook/binary-packages.md):** This page
lists the different platforms that provide ready-built software packages for
Garage.
- **[Integration with Systemd](@/documentation/cookbook/systemd.md):** This page explains how to run Garage
as a Systemd service (instead of as a Docker container).
@ -30,10 +26,6 @@ This chapter could also be referred as "Tutorials" or "Best practices".
- **[Configuring a reverse-proxy](@/documentation/cookbook/reverse-proxy.md):** This page explains how to configure a reverse-proxy to add TLS support to your S3 api endpoint.
- **[Deploying on Kubernetes](@/documentation/cookbook/kubernetes.md):** This page explains how to deploy Garage on Kubernetes using our Helm chart.
- **[Deploying with Ansible](@/documentation/cookbook/ansible.md):** This page lists available Ansible roles developed by the community to deploy Garage.
- **[Monitoring Garage](@/documentation/cookbook/monitoring.md)** This page
explains the Prometheus metrics available for monitoring the Garage
cluster/nodes.
- **[Recovering from failures](@/documentation/cookbook/recovering.md):** Garage's first selling point is resilience
to hardware failures. This section explains how to recover from such a failure in the
best possible way.

View File

@ -1,51 +0,0 @@
+++
title = "Deploying with Ansible"
weight = 35
+++
While Ansible is not officially supported to deploy Garage, several community members
have published Ansible roles. We list them and compare them below.
## Comparison of Ansible roles
| Feature | [ansible-role-garage](#zorun-ansible-role-garage) | [garage-docker-ansible-deploy](#moan0s-garage-docker-ansible-deploy) |
|------------------------------------|---------------------------------------------|---------------------------------------------------------------|
| **Runtime** | Systemd | Docker |
| **Target OS** | Any Linux | Any Linux |
| **Architecture** | amd64, arm64, i686 | amd64, arm64 |
| **Additional software** | None | Traefik |
| **Automatic node connection** | ❌ | ✅ |
| **Layout management** | ❌ | ✅ |
| **Manage buckets & keys** | ❌ | ✅ (basic) |
| **Allow custom Garage config** | ✅ | ❌ |
| **Facilitate Garage upgrades** | ✅ | ❌ |
| **Multiple instances on one host** | ✅ | ✅ |
## zorun/ansible-role-garage
[Source code](https://github.com/zorun/ansible-role-garage), [Ansible galaxy](https://galaxy.ansible.com/zorun/garage)
This role is voluntarily simple: it relies on the official Garage static
binaries and only requires Systemd. As such, it should work on any
Linux-based OS.
To make things more flexible, the user has to provide a Garage
configuration template. This allows to customize Garage configuration in
any way.
Some more features might be added, such as a way to automatically connect
nodes to each other or to define a layout.
## moan0s/garage-docker-ansible-deploy
[Source code](https://github.com/moan0s/garage-docker-ansible-deploy), [Blog post](https://hyteck.de/post/garage/)
This role is based on the Docker image for Garage, and comes with
"batteries included": it will additionally install Docker and Traefik. In
addition, it is "opinionated" in the sense that it expects a particular
deployment structure (one instance per disk, one gateway per host,
structured DNS names, etc).
As a result, this role makes it easier to start with Garage on Ansible,
but is less flexible.

View File

@ -1,41 +0,0 @@
+++
title = "Binary packages"
weight = 11
+++
Garage is also available in binary packages on:
## Alpine Linux
If you use Alpine Linux, you can simply install the
[garage](https://pkgs.alpinelinux.org/packages?name=garage) package from the
Alpine Linux repositories (available since v3.17):
```bash
apk add garage
```
The default configuration file is installed to `/etc/garage.toml`. You can run
Garage using: `rc-service garage start`. If you don't specify `rpc_secret`, it
will be automatically replaced with a random string on the first start.
Please note that this package is built without Consul discovery, Kubernetes
discovery, OpenTelemetry exporter, and K2V features (K2V will be enabled once
it's stable).
## Arch Linux
Garage is available in the [AUR](https://aur.archlinux.org/packages/garage).
## FreeBSD
```bash
pkg install garage
```
## NixOS
```bash
nix-shell -p garage
```

View File

@ -1,116 +0,0 @@
+++
title = "Encryption"
weight = 50
+++
Encryption is a recurring subject when discussing Garage.
Garage does not handle data encryption by itself, but many things can
already be done with Garage's current feature set and the existing ecosystem.
This page takes a high level approach to security in general and data encryption
in particular.
# Examining your need for encryption
- Why do you want encryption in Garage?
- What is your threat model? What are you fearing?
- A stolen HDD?
- A curious administrator?
- A malicious administrator?
- A remote attacker?
- etc.
- What services do you want to protect with encryption?
- An existing application? Which one? (eg. Nextcloud)
- An application that you are writing
- Any expertise you may have on the subject
This page explains what Garage provides, and how you can improve the situation by yourself
by adding encryption at different levels.
We would be very curious to know your needs and thougs about ideas such as
encryption practices and things like key management, as we want Garage to be a
serious base platform for the developpment of secure, encrypted applications.
Do not hesitate to come talk to us if you have any thoughts or questions on the
subject.
# Capabilities provided by Garage
## Traffic is encrypted between Garage nodes
RPCs between Garage nodes are encrypted. More specifically, contrary to many
distributed software, it is impossible in Garage to have clear-text RPC. We
use the [kuska handshake](https://github.com/Kuska-ssb/handshake) library which
implements a protocol that has been clearly reviewed, Secure ScuttleButt's
Secret Handshake protocol. This is why setting a `rpc_secret` is mandatory,
and that's also why your nodes have super long identifiers.
## HTTP API endpoints provided by Garage are in clear text
Adding TLS support built into Garage is not currently planned.
## Garage stores data in plain text on the filesystem
Garage does not handle data encryption at rest by itself, and instead delegates
to the user to add encryption, either at the storage layer (LUKS, etc) or on
the client side (or both). There are no current plans to add data encryption
directly in Garage.
Implementing data encryption directly in Garage might make things simpler for
end users, but also raises many more questions, especially around key
management: for encryption of data, where could Garage get the encryption keys
from ? If we encrypt data but keep the keys in a plaintext file next to them,
it's useless. We probably don't want to have to manage secrets in garage as it
would be very hard to do in a secure way. Maybe integrate with an external
system such as Hashicorp Vault?
# Adding data encryption using external tools
## Encrypting traffic between a Garage node and your client
You have multiple options to have encryption between your client and a node:
- Setup a reverse proxy with TLS / ACME / Let's encrypt
- Setup a Garage gateway locally, and only contact the garage daemon on `localhost`
- Only contact your Garage daemon over a secure, encrypted overlay network such as Wireguard
## Encrypting data at rest
Protects against the following threats:
- Stolen HDD
Crucially, does not protect againt malicious sysadmins or remote attackers that
might gain access to your servers.
Methods include full-disk encryption with tools such as LUKS.
## Encrypting data on the client side
Protects againt the following threats:
- A honest-but-curious administrator
- A malicious administrator that tries to corrupt your data
- A remote attacker that can read your server's data
Implementations are very specific to the various applications. Examples:
- Matrix: uses the OLM protocol for E2EE of user messages. Media files stored
in Matrix are probably encrypted using symmetric encryption, with a key that is
distributed in the end-to-end encrypted message that contains the link to the object.
- XMPP: clients normally support either OMEMO / OpenPGP for the E2EE of user
messages. Media files are encrypted per
[XEP-0454](https://xmpp.org/extensions/xep-0454.html).
- Aerogramme: use the user's password as a key to decrypt data in the user's bucket
- Cyberduck: comes with support for
[Cryptomator](https://docs.cyberduck.io/cryptomator/) which allows users to
create client-side vaults to encrypt files in before they are uploaded to a
cloud storage endpoint.

View File

@ -38,7 +38,7 @@ Our website serving logic is as follow:
Now we need to infer the URL of your website through your bucket name.
Let assume:
- we set `root_domain = ".web.example.com"` in `garage.toml` ([ref](@/documentation/reference-manual/configuration.md#web_root_domain))
- we set `root_domain = ".web.example.com"` in `garage.toml` ([ref](@/documentation/reference-manual/configuration.md#root_domain))
- our bucket name is `garagehq.deuxfleurs.fr`.
Our bucket will be served if the Host field matches one of these 2 values (the port is ignored):

View File

@ -21,7 +21,7 @@ You can configure Garage as a gateway on all nodes that will consume your S3 API
The instructions are similar to a regular node, the only option that is different is while configuring the node, you must set the `--gateway` parameter:
```bash
garage layout assign --gateway --tag gw1 -z dc1 <node_id>
garage layout assign --gateway --tag gw1 <node_id>
garage layout show # review the changes you are making
garage layout apply # once satisfied, apply the changes
```

View File

@ -1,88 +0,0 @@
+++
title = "Deploying on Kubernetes"
weight = 32
+++
Garage can also be deployed on a kubernetes cluster via helm chart.
## Deploying
Firstly clone the repository:
```bash
git clone https://git.deuxfleurs.fr/Deuxfleurs/garage
cd garage/scripts/helm
```
Deploy with default options:
```bash
helm install --create-namespace --namespace garage garage ./garage
```
Or deploy with custom values:
```bash
helm install --create-namespace --namespace garage garage ./garage -f values.override.yaml
```
After deploying, cluster layout must be configured manually as described in [Creating a cluster layout](@/documentation/quick-start/_index.md#creating-a-cluster-layout). Use the following command to access garage CLI:
```bash
kubectl exec --stdin --tty -n garage garage-0 -- ./garage status
```
## Overriding default values
All possible configuration values can be found with:
```bash
helm show values ./garage
```
This is an example `values.overrride.yaml` for deploying in a microk8s cluster with a https s3 api ingress route:
```yaml
garage:
# Use only 2 replicas per object
replicationMode: "2"
# Start 4 instances (StatefulSets) of garage
deployment:
replicaCount: 4
# Override default storage class and size
persistence:
meta:
storageClass: "openebs-hostpath"
size: 100Mi
data:
storageClass: "openebs-hostpath"
size: 1Gi
ingress:
s3:
api:
enabled: true
className: "public"
annotations:
cert-manager.io/cluster-issuer: "letsencrypt-prod"
nginx.ingress.kubernetes.io/proxy-body-size: 500m
hosts:
- host: s3-api.my-domain.com
paths:
- path: /
pathType: Prefix
tls:
- secretName: garage-ingress-cert
hosts:
- s3-api.my-domain.com
```
## Removing
```bash
helm delete --namespace garage garage
```
Note that this will leave behind custom CRD `garagenodes.deuxfleurs.fr`, which must be removed manually if desired.

View File

@ -1,53 +0,0 @@
+++
title = "Monitoring Garage"
weight = 40
+++
Garage exposes some internal metrics in the Prometheus data format.
This page explains how to exploit these metrics.
## Setting up monitoring
### Enabling the Admin API endpoint
If you have not already enabled the [administration API endpoint](@/documentation/reference-manual/admin-api.md), do so by adding the following lines to your configuration file:
```toml
[admin]
api_bind_addr = "0.0.0.0:3903"
```
This will allow anyone to scrape Prometheus metrics by fetching
`http://localhost:3093/metrics`. If you want to restrict access
to the exported metrics, set the `metrics_token` configuration value
to a bearer token to be used when fetching the metrics endpoint.
### Setting up Prometheus and Grafana
Add a scrape config to your Prometheus daemon to scrape metrics from
all of your nodes:
```yaml
scrape_configs:
- job_name: 'garage'
static_configs:
- targets:
- 'node1.mycluster:3903'
- 'node2.mycluster:3903'
- 'node3.mycluster:3903'
```
If you have set a metrics token in your Garage configuration file,
add the following lines in your Prometheus scrape config:
```yaml
authorization:
type: Bearer
credentials: 'your metrics token'
```
To visualize the scraped data in Grafana,
you can either import our [Grafana dashboard for Garage](https://git.deuxfleurs.fr/Deuxfleurs/garage/raw/branch/main/script/telemetry/grafana-garage-dashboard-prometheus.json)
or make your own.
The list of exported metrics is available on our [dedicated page](@/documentation/reference-manual/monitoring.md) in the Reference manual section.

View File

@ -11,21 +11,19 @@ We recommend first following the [quick start guide](@/documentation/quick-start
to get familiar with Garage's command line and usage patterns.
## Preparing your environment
### Prerequisites
## Prerequisites
To run a real-world deployment, make sure the following conditions are met:
- You have at least three machines with sufficient storage space available.
- Each machine has an IP address which makes it directly reachable by all other machines.
In many cases, nodes will be behind a NAT and will not each have a public
IPv4 addresses. In this case, is recommended that you use IPv6 for this
end-to-end connectivity if it is available. Otherwise, using a mesh VPN such as
[Nebula](https://github.com/slackhq/nebula) or
[Yggdrasil](https://yggdrasil-network.github.io/) are approaches to consider
in addition to building out your own VPN tunneling.
- Each machine has a public IP address which is reachable by other machines.
Running behind a NAT is likely to be possible but hasn't been tested for the latest version (TODO).
- Ideally, each machine should have a SSD available in addition to the HDD you are dedicating
to Garage. This will allow for faster access to metadata and has the potential
to significantly reduce Garage's response times.
- This guide will assume you are using Docker containers to deploy Garage on each node.
Garage can also be run independently, for instance as a [Systemd service](@/documentation/cookbook/systemd.md).
@ -43,7 +41,7 @@ For our example, we will suppose the following infrastructure with IPv6 connecti
| Brussels | Mars | fc00:F::1 | 1.5 TB |
Note that Garage will **always** store the three copies of your data on nodes at different
locations. This means that in the case of this small example, the usable capacity
locations. This means that in the case of this small example, the available capacity
of the cluster is in fact only 1.5 TB, because nodes in Brussels can't store more than that.
This also means that nodes in Paris and London will be under-utilized.
To make better use of the available hardware, you should ensure that the capacity
@ -51,48 +49,17 @@ available in the different locations of your cluster is roughly the same.
For instance, here, the Mercury node could be moved to Brussels; this would allow the cluster
to store 2 TB of data in total.
### Best practices
- If you have fast dedicated networking between all your nodes, and are planing to store
very large files, bump the `block_size` configuration parameter to 10 MB
(`block_size = 10485760`).
- Garage stores its files in two locations: it uses a metadata directory to store frequently-accessed
small metadata items, and a data directory to store data blocks of uploaded objects.
Ideally, the metadata directory would be stored on an SSD (smaller but faster),
and the data directory would be stored on an HDD (larger but slower).
- For the data directory, Garage already does checksumming and integrity verification,
so there is no need to use a filesystem such as BTRFS or ZFS that does it.
We recommend using XFS for the data partition, as it has the best performance.
EXT4 is not recommended as it has more strict limitations on the number of inodes,
which might cause issues with Garage when large numbers of objects are stored.
- If you only have an HDD and no SSD, it's fine to put your metadata alongside the data
on the same drive. Having lots of RAM for your kernel to cache the metadata will
help a lot with performance. Make sure to use the LMDB database engine,
instead of Sled, which suffers from quite bad performance degradation on HDDs.
Sled is still the default for legacy reasons, but is not recommended anymore.
- For the metadata storage, Garage does not do checksumming and integrity
verification on its own. If you are afraid of bitrot/data corruption,
put your metadata directory on a ZFS or BTRFS partition. Otherwise, just use regular
EXT4 or XFS.
- Servers with multiple HDDs are supported natively by Garage without resorting
to RAID, see [our dedicated documentation page](@/documentation/operations/multi-hdd.md).
## Get a Docker image
Our docker image is currently named `dxflrs/garage` and is stored on the [Docker Hub](https://hub.docker.com/r/dxflrs/garage/tags?page=1&ordering=last_updated).
We encourage you to use a fixed tag (eg. `v0.9.0`) and not the `latest` tag.
For this example, we will use the latest published version at the time of the writing which is `v0.9.0` but it's up to you
to check [the most recent versions on the Docker Hub](https://hub.docker.com/r/dxflrs/garage/tags?page=1&ordering=last_updated).
Our docker image is currently named `dxflrs/amd64_garage` and is stored on the [Docker Hub](https://hub.docker.com/r/dxflrs/amd64_garage/tags?page=1&ordering=last_updated).
We encourage you to use a fixed tag (eg. `v0.4.0`) and not the `latest` tag.
For this example, we will use the latest published version at the time of the writing which is `v0.4.0` but it's up to you
to check [the most recent versions on the Docker Hub](https://hub.docker.com/r/dxflrs/amd64_garage/tags?page=1&ordering=last_updated).
For example:
```
sudo docker pull dxflrs/garage:v0.9.0
sudo docker pull dxflrs/amd64_garage:v0.4.0
```
## Deploying and configuring Garage
@ -109,12 +76,11 @@ especially you must consider the following folders/files:
this folder will be your main data storage and must be on a large storage (e.g. large HDD)
A valid `/etc/garage.toml` for our cluster would look as follows:
A valid `/etc/garage/garage.toml` for our cluster would look as follows:
```toml
metadata_dir = "/var/lib/garage/meta"
data_dir = "/var/lib/garage/data"
db_engine = "lmdb"
replication_mode = "3"
@ -124,6 +90,8 @@ rpc_bind_addr = "[::]:3901"
rpc_public_addr = "<this node's public IP>:3901"
rpc_secret = "<RPC secret>"
bootstrap_peers = []
[s3_api]
s3_region = "garage"
api_bind_addr = "[::]:3900"
@ -157,35 +125,17 @@ docker run \
-v /etc/garage.toml:/etc/garage.toml \
-v /var/lib/garage/meta:/var/lib/garage/meta \
-v /var/lib/garage/data:/var/lib/garage/data \
dxflrs/garage:v0.9.0
lxpz/garage_amd64:v0.4.0
```
With this command line, Garage should be started automatically at each boot.
Please note that we use host networking as otherwise the network indirection
added by Docker would prevent Garage nodes from communicating with one another
(especially if using IPv6).
It should be restarted automatically at each reboot.
Please note that we use host networking as otherwise Docker containers
can not communicate with IPv6.
If you want to use `docker-compose`, you may use the following `docker-compose.yml` file as a reference:
```yaml
version: "3"
services:
garage:
image: dxflrs/garage:v0.9.0
network_mode: "host"
restart: unless-stopped
volumes:
- /etc/garage.toml:/etc/garage.toml
- /var/lib/garage/meta:/var/lib/garage/meta
- /var/lib/garage/data:/var/lib/garage/data
```
If you wish to upgrade your cluster, make sure to read the corresponding
[documentation page](@/documentation/operations/upgrading.md) first, as well as
the documentation relevant to your version of Garage in the case of major
upgrades. With the containerized setup proposed here, the upgrade process
will require stopping and removing the existing container, and re-creating it
with the upgraded version.
Upgrading between Garage versions should be supported transparently,
but please check the relase notes before doing so!
To upgrade, simply stop and remove this container and
start again the command with a new version of Garage.
## Controling the daemon
@ -196,12 +146,6 @@ The `garage` binary has two purposes:
Ensure an appropriate `garage` binary (the same version as your Docker image) is available in your path.
If your configuration file is at `/etc/garage.toml`, the `garage` binary should work with no further change.
You can also use an alias as follows to use the Garage binary inside your docker container:
```bash
alias garage="docker exec -ti <container name> /garage"
```
You can test your `garage` CLI utility by running a simple command such as:
```bash
@ -269,12 +213,12 @@ of a role that is assigned to each active cluster node.
For our example, we will suppose we have the following infrastructure
(Capacity, Identifier and Zone are specific values to Garage described in the following):
| Location | Name | Disk Space | Identifier | Zone (`-z`) | Capacity (`-c`) |
|----------|---------|------------|------------|-------------|-----------------|
| Paris | Mercury | 1 TB | `563e` | `par1` | `1T` |
| Paris | Venus | 2 TB | `86f0` | `par1` | `2T` |
| London | Earth | 2 TB | `6814` | `lon1` | `2T` |
| Brussels | Mars | 1.5 TB | `212f` | `bru1` | `1.5T` |
| Location | Name | Disk Space | `Capacity` | `Identifier` | `Zone` |
|----------|---------|------------|------------|--------------|--------------|
| Paris | Mercury | 1 TB | `10` | `563e` | `par1` |
| Paris | Venus | 2 TB | `20` | `86f0` | `par1` |
| London | Earth | 2 TB | `20` | `6814` | `lon1` |
| Brussels | Mars | 1.5 TB | `15` | `212f` | `bru1` |
#### Node identifiers
@ -296,8 +240,6 @@ garage status
It will display the IP address associated with each node;
from the IP address you will be able to recognize the node.
We will now use the `garage layout assign` command to configure the correct parameters for each node.
#### Zones
Zones are simply a user-chosen identifier that identify a group of server that are grouped together logically.
@ -307,29 +249,29 @@ In most cases, a zone will correspond to a geographical location (i.e. a datacen
Behind the scene, Garage will use zone definition to try to store the same data on different zones,
in order to provide high availability despite failure of a zone.
Zones are passed to Garage using the `-z` flag of `garage layout assign` (see below).
#### Capacity
Garage needs to know the storage capacity (disk space) it can/should use on
each node, to be able to correctly balance data.
Garage reasons on an abstract metric about disk storage that is named the *capacity* of a node.
The capacity configured in Garage must be proportional to the disk space dedicated to the node.
Capacity values are expressed in bytes and are passed to Garage using the `-c` flag of `garage layout assign` (see below).
Capacity values must be **integers** but can be given any signification.
Here we chose that 1 unit of capacity = 100 GB.
#### Tags
You can add additional tags to nodes using the `-t` flag of `garage layout assign` (see below).
Tags have no specific meaning for Garage and can be used at your convenience.
Note that the amount of data stored by Garage on each server may not be strictly proportional to
its capacity value, as Garage will priorize having 3 copies of data in different zones,
even if this means that capacities will not be strictly respected. For example in our above examples,
nodes Earth and Mars will always store a copy of everything each, and the third copy will
have 66% chance of being stored by Venus and 33% chance of being stored by Mercury.
#### Injecting the topology
Given the information above, we will configure our cluster as follow:
```bash
garage layout assign 563e -z par1 -c 1T -t mercury
garage layout assign 86f0 -z par1 -c 2T -t venus
garage layout assign 6814 -z lon1 -c 2T -t earth
garage layout assign 212f -z bru1 -c 1.5T -t mars
garage layout assign 563e -z par1 -c 10 -t mercury
garage layout assign 86f0 -z par1 -c 20 -t venus
garage layout assign 6814 -z lon1 -c 20 -t earth
garage layout assign 212f -z bru1 -c 15 -t mars
```
At this point, the changes in the cluster layout have not yet been applied.
@ -339,7 +281,6 @@ To show the new layout that will be applied, call:
garage layout show
```
Make sure to read carefully the output of `garage layout show`.
Once you are satisfied with your new layout, apply it with:
```bash
@ -347,7 +288,7 @@ garage layout apply
```
**WARNING:** if you want to use the layout modification commands in a script,
make sure to read [this page](@/documentation/operations/layout.md) first.
make sure to read [this page](@/documentation/reference-manual/layout.md) first.
## Using your Garage cluster
@ -357,5 +298,5 @@ and is covered in the [quick start guide](@/documentation/quick-start/_index.md)
Remember also that the CLI is self-documented thanks to the `--help` flag and
the `help` subcommand (e.g. `garage help`, `garage key --help`).
Configuring S3-compatible applications to interact with Garage
Configuring S3-compatible applicatiosn to interact with Garage
is covered in the [Integrations](@/documentation/connect/_index.md) section.

View File

@ -1,6 +1,6 @@
+++
title = "Recovering from failures"
weight = 40
weight = 35
+++
Garage is meant to work on old, second-hand hardware.

View File

@ -70,16 +70,14 @@ A possible configuration:
```nginx
upstream s3_backend {
# If you have a garage instance locally.
# if you have a garage instance locally
server 127.0.0.1:3900;
# You can also put your other instances.
# you can also put your other instances
server 192.168.1.3:3900;
# Domain names also work.
# domain names also work
server garage1.example.com:3900;
# A "backup" server is only used if all others have failed.
server garage-remote.example.com:3900 backup;
# You can assign weights if you have some servers
# that can serve more requests than others.
# you can assign weights if you have some servers
# that are more powerful than others
server garage2.example.com:3900 weight=2;
}
@ -98,8 +96,6 @@ server {
proxy_pass http://s3_backend;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header Host $host;
# Disable buffering to a temporary file.
proxy_max_temp_file_size 0;
}
}
```
@ -168,65 +164,40 @@ Here is [a basic configuration file](https://doc.traefik.io/traefik/https/acme/#
### Add Garage service
To add Garage on Traefik you should declare two new services using its IP
address (or hostname) and port, these are used for the S3, and web components
of Garage:
To add Garage on Traefik you should declare a new service using its IP address (or hostname) and port:
```toml
[http.services]
[http.services.garage-s3-service.loadBalancer]
[[http.services.garage-s3-service.loadBalancer.servers]]
[http.services.my_garage_service.loadBalancer]
[[http.services.my_garage_service.loadBalancer.servers]]
url = "http://xxx.xxx.xxx.xxx"
port = 3900
[http.services.garage-web-service.loadBalancer]
[[http.services.garage-web-service.loadBalancer.servers]]
url = "http://xxx.xxx.xxx.xxx"
port = 3902
```
It's possible to declare multiple Garage servers as back-ends:
```toml
[http.services]
[[http.services.garage-s3-service.loadBalancer.servers]]
[[http.services.my_garage_service.loadBalancer.servers]]
url = "http://xxx.xxx.xxx.xxx"
port = 3900
[[http.services.garage-s3-service.loadBalancer.servers]]
[[http.services.my_garage_service.loadBalancer.servers]]
url = "http://yyy.yyy.yyy.yyy"
port = 3900
[[http.services.garage-s3-service.loadBalancer.servers]]
[[http.services.my_garage_service.loadBalancer.servers]]
url = "http://zzz.zzz.zzz.zzz"
port = 3900
[[http.services.garage-web-service.loadBalancer.servers]]
url = "http://xxx.xxx.xxx.xxx"
port = 3902
[[http.services.garage-web-service.loadBalancer.servers]]
url = "http://yyy.yyy.yyy.yyy"
port = 3902
[[http.services.garage-web-service.loadBalancer.servers]]
url = "http://zzz.zzz.zzz.zzz"
port = 3902
```
Traefik can remove unhealthy servers automatically with [a health check configuration](https://doc.traefik.io/traefik/routing/services/#health-check):
```
[http.services]
[http.services.garage-s3-service.loadBalancer]
[http.services.garage-s3-service.loadBalancer.healthCheck]
path = "/health"
port = "3903"
#interval = "15s"
#timeout = "2s"
[http.services.garage-web-service.loadBalancer]
[http.services.garage-web-service.loadBalancer.healthCheck]
path = "/health"
port = "3903"
#interval = "15s"
#timeout = "2s"
[http.services.my_garage_service.loadBalancer]
[http.services.my_garage_service.loadBalancer.healthCheck]
path = "/"
interval = "60s"
timeout = "5s"
```
### Adding a website
@ -235,15 +206,10 @@ To add a new website, add the following declaration to your Traefik configuratio
```toml
[http.routers]
[http.routers.garage-s3]
rule = "Host(`s3.example.org`)"
service = "garage-s3-service"
entryPoints = ["websecure"]
[http.routers.my_website]
rule = "Host(`yoururl.example.org`)"
service = "garage-web-service"
entryPoints = ["websecure"]
service = "my_garage_service"
entryPoints = ["web"]
```
Enable HTTPS access to your website with the following configuration section ([documentation](https://doc.traefik.io/traefik/https/overview/)):
@ -256,7 +222,7 @@ Enable HTTPS access to your website with the following configuration section ([d
...
```
### Adding compression
### Adding gzip compression
Add the following configuration section [to compress response](https://doc.traefik.io/traefik/middlewares/http/compress/) using [gzip](https://developer.mozilla.org/en-US/docs/Glossary/GZip_compression) before sending them to the client:
@ -264,10 +230,10 @@ Add the following configuration section [to compress response](https://doc.traef
[http.routers]
[http.routers.my_website]
...
middlewares = ["compression"]
middlewares = ["gzip_compress"]
...
[http.middlewares]
[http.middlewares.compression.compress]
[http.middlewares.gzip_compress.compress]
```
### Add caching response
@ -292,54 +258,27 @@ Traefik's caching middleware is only available on [entreprise version](https://d
entryPoint = "web"
[http.routers]
[http.routers.garage-s3]
rule = "Host(`s3.example.org`)"
service = "garage-s3-service"
entryPoints = ["websecure"]
[http.routers.my_website]
rule = "Host(`yoururl.example.org`)"
service = "garage-web-service"
middlewares = ["compression"]
service = "my_garage_service"
middlewares = ["gzip_compress"]
entryPoints = ["websecure"]
[http.services]
[http.services.garage-s3-service.loadBalancer]
[http.services.garage-s3-service.loadBalancer.healthCheck]
path = "/health"
port = "3903"
#interval = "15s"
#timeout = "2s"
[http.services.garage-web-service.loadBalancer]
[http.services.garage-web-service.loadBalancer.healthCheck]
path = "/health"
port = "3903"
#interval = "15s"
#timeout = "2s"
[[http.services.garage-s3-service.loadBalancer.servers]]
[http.services.my_garage_service.loadBalancer]
[http.services.my_garage_service.loadBalancer.healthCheck]
path = "/"
interval = "60s"
timeout = "5s"
[[http.services.my_garage_service.loadBalancer.servers]]
url = "http://xxx.xxx.xxx.xxx"
port = 3900
[[http.services.garage-s3-service.loadBalancer.servers]]
[[http.services.my_garage_service.loadBalancer.servers]]
url = "http://yyy.yyy.yyy.yyy"
port = 3900
[[http.services.garage-s3-service.loadBalancer.servers]]
[[http.services.my_garage_service.loadBalancer.servers]]
url = "http://zzz.zzz.zzz.zzz"
port = 3900
[[http.services.garage-web-service.loadBalancer.servers]]
url = "http://xxx.xxx.xxx.xxx"
port = 3902
[[http.services.garage-web-service.loadBalancer.servers]]
url = "http://yyy.yyy.yyy.yyy"
port = 3902
[[http.services.garage-web-service.loadBalancer.servers]]
url = "http://zzz.zzz.zzz.zzz"
port = 3902
[http.middlewares]
[http.middlewares.compression.compress]
[http.middlewares.gzip_compress.compress]
```
## Caddy
@ -348,127 +287,18 @@ Your Caddy configuration can be as simple as:
```caddy
s3.garage.tld, *.s3.garage.tld {
reverse_proxy localhost:3900 192.168.1.2:3900 example.tld:3900 {
health_uri /health
health_port 3903
#health_interval 15s
#health_timeout 5s
}
reverse_proxy localhost:3900 192.168.1.2:3900 example.tld:3900
}
*.web.garage.tld {
reverse_proxy localhost:3902 192.168.1.2:3902 example.tld:3902 {
health_uri /health
health_port 3903
#health_interval 15s
#health_timeout 5s
}
reverse_proxy localhost:3902 192.168.1.2:3900 example.tld:3900
}
admin.garage.tld {
reverse_proxy localhost:3903 {
health_uri /health
health_port 3903
#health_interval 15s
#health_timeout 5s
}
reverse_proxy localhost:3903
}
```
But at the same time, the `reverse_proxy` is very flexible.
For a production deployment, you should [read its documentation](https://caddyserver.com/docs/caddyfile/directives/reverse_proxy) as it supports features like DNS discovery of upstreams, load balancing with checks, streaming parameters, etc.
### Caching
Caddy can compiled with a
[cache plugin](https://github.com/caddyserver/cache-handler) which can be used
to provide a hot-cache at the webserver-level for static websites hosted by
Garage.
This can be configured as follows:
```caddy
# Caddy global configuration section
{
# Bare minimum configuration to enable cache.
order cache before rewrite
cache
#cache
# allowed_http_verbs GET
# default_cache_control public
# ttl 8h
#}
}
# Site specific section
https:// {
cache
#cache {
# timeout {
# backend 30s
# }
#}
reverse_proxy ...
}
```
Caching is a complicated subject, and the reader is encouraged to study the
available options provided by the plugin.
### On-demand TLS
Caddy supports a technique called
[on-demand TLS](https://caddyserver.com/docs/automatic-https#on-demand-tls), by
which one can configure the webserver to provision TLS certificates when a
client first connects to it.
In order to prevent an attack vector whereby domains are simply pointed at your
webserver and certificates are requested for them - Caddy can be configured to
ask Garage if a domain is authorized for web hosting, before it then requests
a TLS certificate.
This 'check' endpoint, which is on the admin port (3903 by default), can be
configured in Caddy's global section as follows:
```caddy
{
...
on_demand_tls {
ask http://localhost:3903/check
interval 2m
burst 5
}
...
}
```
The host section can then be configured with (note that this uses the web
endpoint instead):
```caddy
# For a specific set of subdomains
*.web.garage.tld {
tls {
on_demand
}
reverse_proxy localhost:3902 192.168.1.2:3902 example.tld:3902
}
# Accept all domains on HTTPS
# Never configure this without global section above
https:// {
tls {
on_demand
}
reverse_proxy localhost:3902 192.168.1.2:3902 example.tld:3902
}
```
More information on how this endpoint is implemented in Garage is available
in the [Admin API Reference](@/documentation/reference-manual/admin-api.md) page.

View File

@ -33,20 +33,7 @@ NoNewPrivileges=true
WantedBy=multi-user.target
```
**A note on hardening:** Garage will be run as a non privileged user, its user
id is dynamically allocated by systemd (set with `DynamicUser=true`). It cannot
access (read or write) home folders (`/home`, `/root` and `/run/user`), the
rest of the filesystem can only be read but not written, only the path seen as
`/var/lib/garage` is writable as seen by the service. Additionnaly, the process
can not gain new privileges over time.
For this to work correctly, your `garage.toml` must be set with
`metadata_dir=/var/lib/garage/meta` and `data_dir=/var/lib/garage/data`. This
is mandatory to use the DynamicUser hardening feature of systemd, which
autocreates these directories as virtual mapping. If the directory
`/var/lib/garage` already exists before starting the server for the first time,
the systemd service might not start correctly. Note that in your host
filesystem, Garage data will be held in `/var/lib/private/garage`.
*A note on hardening: garage will be run as a non privileged user, its user id is dynamically allocated by systemd. It cannot access (read or write) home folders (/home, /root and /run/user), the rest of the filesystem can only be read but not written, only the path seen as /var/lib/garage is writable as seen by the service (mapped to /var/lib/private/garage on your host). Additionnaly, the process can not gain new privileges over time.*
To start the service then automatically enable it at boot:

View File

@ -0,0 +1,50 @@
+++
title = "Upgrading Garage"
weight = 40
+++
Garage is a stateful clustered application, where all nodes are communicating together and share data structures.
It makes upgrade more difficult than stateless applications so you must be more careful when upgrading.
On a new version release, there is 2 possibilities:
- protocols and data structures remained the same ➡️ this is a **straightforward upgrade**
- protocols or data structures changed ➡️ this is an **advanced upgrade**
You can quickly now what type of update you will have to operate by looking at the version identifier.
Following the [SemVer ](https://semver.org/) terminology, if only the *patch* number changed, it will only need a straightforward upgrade.
Example: an upgrade from v0.6.0 from v0.6.1 is a straightforward upgrade.
If the *minor* or *major* number changed however, you will have to do an advanced upgrade. Example: from v0.6.1 to v0.7.0.
Migrations are designed to be run only between contiguous versions (from a *major*.*minor* perspective, *patches* can be skipped).
Example: migrations from v0.6.1 to v0.7.0 and from v0.6.0 to v0.7.0 are supported but migrations from v0.5.0 to v0.7.0 are not supported.
## Straightforward upgrades
Straightforward upgrades do not imply cluster downtime.
Before upgrading, you should still read [the changelog](https://git.deuxfleurs.fr/Deuxfleurs/garage/releases) and ideally test your deployment on a staging cluster before.
When you are ready, start by checking the health of your cluster.
You can force some checks with `garage repair`, we recommend at least running `garage repair --all-nodes --yes` that is very quick to run (less than a minute).
You will see that the command correctly terminated in the logs of your daemon.
Finally, you can simply upgrades nodes one by one.
For each node: stop it, install the new binary, edit the configuration if needed, restart it.
## Advanced upgrades
Advanced upgrades will imply cluster downtime.
Before upgrading, you must read [the changelog](https://git.deuxfleurs.fr/Deuxfleurs/garage/releases) and you must test your deployment on a staging cluster before.
From a high level perspective, an advanced upgrade looks like this:
1. Make sure the health of your cluster is good (see `garage repair`)
2. Disable API access (comment the configuration in your reverse proxy)
3. Check that your cluster is idle
4. Stop the whole cluster
5. Backup the metadata folder of all your nodes, so that you will be able to restore it quickly if the upgrade fails (blocks being immutable, they should not be impacted)
6. Install the new binary, update the configuration
7. Start the whole cluster
8. If needed, run the corresponding migration from `garage migrate`
9. Make sure the health of your cluster is good
10. Enable API access (uncomment the configuration in your reverse proxy)
11. Monitor your cluster while load comes back, check that all your applications are happy with this new version
We write guides for each advanced upgrade, they are stored under the "Working Documents" section of this documentation.

View File

@ -1,6 +1,6 @@
+++
title = "Design"
weight = 70
weight = 5
sort_by = "weight"
template = "documentation.html"
+++
@ -20,16 +20,12 @@ and could not do, etc.
We love to talk and hear about Garage, that's why we keep a log here:
- [(en, 2023-01-18) Presentation of Garage with some details on CRDTs and data partitioning among nodes](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/commit/4cff37397f626ef063dad29e5b5e97ab1206015d/doc/talks/2023-01-18-tocatta/talk.pdf)
- [(fr, 2022-11-19) De l'auto-hébergement à l'entre-hébergement : Garage, pour conserver ses données ensemble](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/commit/4cff37397f626ef063dad29e5b5e97ab1206015d/doc/talks/2022-11-19-Capitole-du-Libre/pr%C3%A9sentation.pdf)
- [(en, 2022-06-23) General presentation of Garage](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/commit/4cff37397f626ef063dad29e5b5e97ab1206015d/doc/talks/2022-06-23-stack/talk.pdf)
- [(fr, 2021-11-13, video) Garage : Mille et une façons de stocker vos données](https://video.tedomum.net/w/moYKcv198dyMrT8hCS5jz9) and [slides (html)](https://rfid.deuxfleurs.fr/presentations/2021-11-13/garage/) - during [RFID#1](https://rfid.deuxfleurs.fr/programme/2021-11-13/) event
- [(en, 2021-04-28) Distributed object storage is centralised](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/commit/b1f60579a13d3c5eba7f74b1775c84639ea9b51a/doc/talks/2021-04-28_spirals-team/talk.pdf)
- [(en, 2021-04-28) Distributed object storage is centralised](https://git.deuxfleurs.fr/Deuxfleurs/garage/raw/commit/b1f60579a13d3c5eba7f74b1775c84639ea9b51a/doc/talks/2021-04-28_spirals-team/talk.pdf)
- [(fr, 2020-12-02) Garage : jouer dans la cour des grands quand on est un hébergeur associatif](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/commit/b1f60579a13d3c5eba7f74b1775c84639ea9b51a/doc/talks/2020-12-02_wide-team/talk.pdf)
- [(fr, 2020-12-02) Garage : jouer dans la cour des grands quand on est un hébergeur associatif](https://git.deuxfleurs.fr/Deuxfleurs/garage/raw/commit/b1f60579a13d3c5eba7f74b1775c84639ea9b51a/doc/talks/2020-12-02_wide-team/talk.pdf)
*Did you write or talk about Garage? [Open a pull request](https://git.deuxfleurs.fr/Deuxfleurs/garage/) to add a link here!*

View File

@ -12,7 +12,7 @@ as pictures, video, images, documents, etc., in a redundant multi-node
setting. S3 is versatile enough to also be used to publish a static
website.
Garage is an opinionated object storage solution, we focus on the following **desirable properties**:
Garage is an opinionated object storage solutoin, we focus on the following **desirable properties**:
- **Internet enabled**: made for multi-sites (eg. datacenters, offices, households, etc.) interconnected through regular Internet connections.
- **Self-contained & lightweight**: works everywhere and integrates well in existing environments to target [hyperconverged infrastructures](https://en.wikipedia.org/wiki/Hyper-converged_infrastructure).
@ -42,13 +42,15 @@ locations. They use Garage themselves for the following tasks:
- As a [Matrix media backend](https://github.com/matrix-org/synapse-s3-storage-provider)
- As a Nix binary cache
- To store personal data and shared documents through [Bagage](https://git.deuxfleurs.fr/Deuxfleurs/bagage), a homegrown WebDav-to-S3 and SFTP-to-S3 proxy
- As a backup target using `rclone` and `restic`
- To store personal data and shared documents through [Bagage](https://git.deuxfleurs.fr/Deuxfleurs/bagage), a homegrown WebDav-to-S3 proxy
- In the Drone continuous integration platform to store task logs
- As a Nix binary cache
- As a backup target using `rclone`
The Deuxfleurs Garage cluster is a multi-site cluster currently composed of
9 nodes in 3 physical locations.
4 nodes in 2 physical locations. In the future it will be expanded to at
least 3 physical locations to fully exploit Garage's potential for high
availability.

View File

@ -61,7 +61,7 @@ Garage prioritizes which nodes to query according to a few criteria:
For further reading on the cluster structure look at the [gateway](@/documentation/cookbook/gateways.md)
and [cluster layout management](@/documentation/operations/layout.md) pages.
and [cluster layout management](@/documentation/reference-manual/layout.md) pages.
## Garbage collection

View File

@ -72,7 +72,8 @@ We considered there v2's design but concluded that it does not fit both our *Sel
**[Riak CS](https://docs.riak.com/riak/cs/2.1.1/index.html):**
*Not written yet*
**[IPFS](https://ipfs.io/):** IPFS has design goals radically different from Garage, we have [a blog post](@/blog/2022-ipfs/index.md) talking about it.
**[IPFS](https://ipfs.io/):**
*Not written yet*
## Specific research papers

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@ -1,6 +1,6 @@
+++
title = "Development"
weight = 80
weight = 6
sort_by = "weight"
template = "documentation.html"
+++

View File

@ -25,7 +25,7 @@ git clone https://git.deuxfleurs.fr/Deuxfleurs/garage
cd garage
```
*Optionally, you can use our nix.conf file to speed up compilations:*
*Optionnaly, you can use our nix.conf file to speed up compilations:*
```bash
sudo mkdir -p /etc/nix
@ -39,7 +39,7 @@ Now you can enter our nix-shell, all the required packages will be downloaded bu
nix-shell
```
You can use the traditional Rust development workflow:
You can use the traditionnal Rust development workflow:
```bash
cargo build # compile the project

View File

@ -11,7 +11,7 @@ We define them as our release process.
While we run some tests on every commits, we do not make a release for all of them.
A release can be triggered manually by "promoting" a successful build.
Otherwise, every night, a release build is triggered on the `main` branch.
Otherwise, every weeks, a release build is triggered on the `main` branch.
If the build is from a tag following the regex: `v[0-9]+\.[0-9]+\.[0-9]+`, it will be listed as stable.
If it is a tag but with a different format, it will be listed as Extra.

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@ -1,23 +0,0 @@
+++
title = "Operations & Maintenance"
weight = 50
sort_by = "weight"
template = "documentation.html"
+++
This section contains a number of important information on how to best operate a Garage cluster,
to ensure integrity and availability of your data:
- **[Upgrading Garage](@/documentation/operations/upgrading.md):** General instructions on how to
upgrade your cluster from one version to the next. Instructions specific for each version upgrade
can bef ound in the [working documents](@/documentation/working-documents/_index.md) section.
- **[Layout management](@/documentation/operations/layout.md):** Best practices for using the `garage layout`
commands when adding or removing nodes from your cluster.
- **[Durability and repairs](@/documentation/operations/durability-repairs.md):** How to check for small things
that might be going wrong, and how to recover from such failures.
- **[Recovering from failures](@/documentation/operations/recovering.md):** Garage's first selling point is resilience
to hardware failures. This section explains how to recover from such a failure in the
best possible way.

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@ -1,126 +0,0 @@
+++
title = "Durability & Repairs"
weight = 30
+++
To ensure the best durability of your data and to fix any inconsistencies that may
pop up in a distributed system, Garage provides a series of repair operations.
This guide will explain the meaning of each of them and when they should be applied.
# General syntax of repair operations
Repair operations described below are of the form `garage repair <repair_name>`.
These repairs will not launch without the `--yes` flag, which should
be added as follows: `garage repair --yes <repair_name>`.
By default these repair procedures will only run on the Garage node your CLI is
connecting to. To run on all nodes, add the `-a` flag as follows:
`garage repair -a --yes <repair_name>`.
# Data block operations
## Data store scrub
Scrubbing the data store means examining each individual data block to check that
their content is correct, by verifying their hash. Any block found to be corrupted
(e.g. by bitrot or by an accidental manipulation of the datastore) will be
restored from another node that holds a valid copy.
Scrubs are automatically scheduled by Garage to run every 25-35 days (the
actual time is randomized to spread load across nodes). The next scheduled run
can be viewed with `garage worker get`.
A scrub can also be launched manually using `garage repair scrub start`.
To view the status of an ongoing scrub, first find the task ID of the scrub worker
using `garage worker list`. Then, run `garage worker info <scrub_task_id>` to
view detailed runtime statistics of the scrub. To gather cluster-wide information,
this command has to be run on each individual node.
A scrub is a very disk-intensive operation that might slow down your cluster.
You may pause an ongoing scrub using `garage repair scrub pause`, but note that
the scrub will resume automatically 24 hours later as Garage will not let your
cluster run without a regular scrub. If the scrub procedure is too intensive
for your servers and is slowing down your workload, the recommended solution
is to increase the "scrub tranquility" using `garage repair scrub set-tranquility`.
A higher tranquility value will make Garage take longer pauses between two block
verifications. Of course, scrubbing the entire data store will also take longer.
## Block check and resync
In some cases, nodes hold a reference to a block but do not actually have the block
stored on disk. Conversely, they may also have on disk blocks that are not referenced
any more. To fix both cases, a block repair may be run with `garage repair blocks`.
This will scan the entire block reference counter table to check that the blocks
exist on disk, and will scan the entire disk store to check that stored blocks
are referenced.
It is recommended to run this procedure when changing your cluster layout,
after the metadata tables have finished synchronizing between nodes
(usually a few hours after `garage layout apply`).
## Inspecting lost blocks
In extremely rare situations, data blocks may be unavailable from the entire cluster.
This means that even using `garage repair blocks`, some nodes may be unable
to fetch data blocks for which they hold a reference.
These errors are stored on each node in a list of "block resync errors", i.e.
blocks for which the last resync operation failed.
This list can be inspected using `garage block list-errors`.
These errors usually fall into one of the following categories:
1. a block is still referenced but the object was deleted, this is a case
of metadata reference inconsistency (see below for the fix)
2. a block is referenced by a non-deleted object, but could not be fetched due
to a transient error such as a network failure
3. a block is referenced by a non-deleted object, but could not be fetched due
to a permanent error such as there not being any valid copy of the block on the
entire cluster
To help make the difference between cases 1 and cases 2 and 3, you may use the
`garage block info` command to see which objects hold a reference to each block.
In the second case (transient errors), Garage will try to fetch the block again
after a certain time, so the error should disappear naturally. You can also
request Garage to try to fetch the block immediately using `garage block retry-now`
if you have fixed the transient issue.
If you are confident that you are in the third scenario and that your data block
is definitely lost, then there is no other choice than to declare your S3 objects
as unrecoverable, and to delete them properly from the data store. This can be done
using the `garage block purge` command.
## Rebalancing data directories
In [multi-HDD setups](@/documentation/operations/multi-hdd.md), to ensure that
data blocks are well balanced between storage locations, you may run a
rebalance operation using `garage repair rebalance`. This is usefull when
adding storage locations or when capacities of the storage locations have been
changed. Once this is finished, Garage will know for each block of a single
possible location where it can be, which can increase access speed. This
operation will also move out all data from locations marked as read-only.
# Metadata operations
## Metadata table resync
Garage automatically resyncs all entries stored in the metadata tables every hour,
to ensure that all nodes have the most up-to-date version of all the information
they should be holding.
The resync procedure is based on a Merkle tree that allows to efficiently find
differences between nodes.
In some special cases, e.g. before an upgrade, you might want to run a table
resync manually. This can be done using `garage repair tables`.
## Metadata table reference fixes
In some very rare cases where nodes are unavailable, some references between objects
are broken. For instance, if an object is deleted, the underlying versions or data
blocks may still be held by Garage. If you suspect that such corruption has occurred
in your cluster, you can run one of the following repair procedures:
- `garage repair versions`: checks that all versions belong to a non-deleted object, and purges any orphan version
- `garage repair block_refs`: checks that all block references belong to a non-deleted object version, and purges any orphan block reference (this will then allow the blocks to be garbage-collected)

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@ -1,274 +0,0 @@
+++
title = "Cluster layout management"
weight = 20
+++
The cluster layout in Garage is a table that assigns to each node a role in
the cluster. The role of a node in Garage can either be a storage node with
a certain capacity, or a gateway node that does not store data and is only
used as an API entry point for faster cluster access.
An introduction to building cluster layouts can be found in the [production deployment](@/documentation/cookbook/real-world.md) page.
In Garage, all of the data that can be stored in a given cluster is divided
into slices which we call *partitions*. Each partition is stored by
one or several nodes in the cluster
(see [`replication_mode`](@/documentation/reference-manual/configuration.md#replication_mode)).
The layout determines the correspondence between these partition,
which exist on a logical level, and actual storage nodes.
## How cluster layouts work in Garage
A cluster layout is composed of the following components:
- a table of roles assigned to nodes, defined by the user
- an optimal assignation of partitions to nodes, computed by an algorithm that is ran once when calling `garage layout apply` or the ApplyClusterLayout API endpoint
- a version number
Garage nodes will always use the cluster layout with the highest version number.
Garage nodes also maintain and synchronize between them a set of proposed role
changes that haven't yet been applied. These changes will be applied (or
canceled) in the next version of the layout.
All operations on the layout can be realized using the `garage` CLI or using the
[administration API endpoint](@/documentation/reference-manual/admin-api.md).
We give here a description of CLI commands, the admin API semantics are very similar.
The following commands insert modifications to the set of proposed role changes
for the next layout version (but they do not create the new layout immediately):
```bash
garage layout assign [...]
garage layout remove [...]
```
The following command can be used to inspect the layout that is currently set in the cluster
and the changes proposed for the next layout version, if any:
```bash
garage layout show
```
The following commands create a new layout with the specified version number,
that either takes into account the proposed changes or cancels them:
```bash
garage layout apply --version <new_version_number>
garage layout revert --version <new_version_number>
```
The version number of the new layout to create must be 1 + the version number
of the previous layout that existed in the cluster. The `apply` and `revert`
commands will fail otherwise.
## Warnings about Garage cluster layout management
**⚠️ Never make several calls to `garage layout apply` or `garage layout
revert` with the same value of the `--version` flag. Doing so can lead to the
creation of several different layouts with the same version number, in which
case your Garage cluster will become inconsistent until fixed.** If a call to
`garage layout apply` or `garage layout revert` has failed and `garage layout
show` indicates that a new layout with the given version number has not been
set in the cluster, then it is fine to call the command again with the same
version number.
If you are using the `garage` CLI by typing individual commands in your
shell, you shouldn't have much issues as long as you run commands one after
the other and take care of checking the output of `garage layout show`
before applying any changes.
If you are using the `garage` CLI or the admin API to script layout changes,
follow the following recommendations:
- If using the CLI, make all of your `garage` CLI calls to the same RPC host.
If using the admin API, make all of your API calls to the same Garage node. Do
not connect to individual nodes to send them each a piece of the layout changes
you are making, as the changes propagate asynchronously between nodes and might
not all be taken into account at the time when the new layout is applied.
- **Only call `garage layout apply`/ApplyClusterLayout once**, and call it
**strictly after** all of the `layout assign` and `layout remove`
commands/UpdateClusterLayout API calls have returned.
## Understanding unexpected layout calculations
When adding, removing or modifying nodes in a cluster layout, sometimes
unexpected assigntations of partitions to node can occur. These assignations
are in fact normal and logical, given the objectives of the algorihtm. Indeed,
**the layout algorithm prioritizes moving less data between nodes over the fact
of achieving equal distribution of load. It also tries to use all links between
pairs of nodes in equal proportions when moving data.** This section presents
two examples and illustrates how one can control Garage's behavior to obtain
the desired results.
### Example 1
In this example, a cluster is originally composed of 3 nodes in 3 different
zones (data centers). The three nodes are of equal capacity, therefore they
are all fully exploited and all store a copy of all of the data in the cluster.
Then, a fourth node of the same size is added in the datacenter `dc1`.
As illustrated by the following, **Garage will by default not store any data on the new node**:
```
$ garage layout show
==== CURRENT CLUSTER LAYOUT ====
ID Tags Zone Capacity Usable capacity
b10c110e4e854e5a node1 dc1 1000.0 MB 1000.0 MB (100.0%)
a235ac7695e0c54d node2 dc2 1000.0 MB 1000.0 MB (100.0%)
62b218d848e86a64 node3 dc3 1000.0 MB 1000.0 MB (100.0%)
Zone redundancy: maximum
Current cluster layout version: 6
==== STAGED ROLE CHANGES ====
ID Tags Zone Capacity
a11c7cf18af29737 node4 dc1 1000.0 MB
==== NEW CLUSTER LAYOUT AFTER APPLYING CHANGES ====
ID Tags Zone Capacity Usable capacity
b10c110e4e854e5a node1 dc1 1000.0 MB 1000.0 MB (100.0%)
a11c7cf18af29737 node4 dc1 1000.0 MB 0 B (0.0%)
a235ac7695e0c54d node2 dc2 1000.0 MB 1000.0 MB (100.0%)
62b218d848e86a64 node3 dc3 1000.0 MB 1000.0 MB (100.0%)
Zone redundancy: maximum
==== COMPUTATION OF A NEW PARTITION ASSIGNATION ====
Partitions are replicated 3 times on at least 3 distinct zones.
Optimal partition size: 3.9 MB (3.9 MB in previous layout)
Usable capacity / total cluster capacity: 3.0 GB / 4.0 GB (75.0 %)
Effective capacity (replication factor 3): 1000.0 MB
A total of 0 new copies of partitions need to be transferred.
dc1 Tags Partitions Capacity Usable capacity
b10c110e4e854e5a node1 256 (0 new) 1000.0 MB 1000.0 MB (100.0%)
a11c7cf18af29737 node4 0 (0 new) 1000.0 MB 0 B (0.0%)
TOTAL 256 (256 unique) 2.0 GB 1000.0 MB (50.0%)
dc2 Tags Partitions Capacity Usable capacity
a235ac7695e0c54d node2 256 (0 new) 1000.0 MB 1000.0 MB (100.0%)
TOTAL 256 (256 unique) 1000.0 MB 1000.0 MB (100.0%)
dc3 Tags Partitions Capacity Usable capacity
62b218d848e86a64 node3 256 (0 new) 1000.0 MB 1000.0 MB (100.0%)
TOTAL 256 (256 unique) 1000.0 MB 1000.0 MB (100.0%)
```
While unexpected, this is logical because of the following facts:
- storing some data on the new node does not help increase the total quantity
of data that can be stored on the cluster, as the two other zones (`dc2` and
`dc3`) still need to store a full copy of everything, and their capacity is
still the same;
- there is therefore no need to move any data on the new node as this would be pointless;
- moving data to the new node has a cost which the algorithm decides to not pay if not necessary.
This distribution of data can however not be what the administrator wanted: if
they added a new node to `dc1`, it might be because the existing node is too
slow, and they wish to divide its load by half. In that case, what they need to
do to force Garage to distribute the data between the two nodes is to attribute
only half of the capacity to each node in `dc1` (in our example, 500M instead of 1G).
In that case, Garage would determine that to be able to store 1G in total, it
would need to store 500M on the old node and 500M on the added one.
### Example 2
The following example is a slightly different scenario, where `dc1` had two
nodes that were used at 50%, and `dc2` and `dc3` each have one node that is
100% used. All node capacities are the same.
Then, a node from `dc1` is moved into `dc3`. One could expect that the roles of
`dc1` and `dc3` would simply be swapped: the remaining node in `dc1` would be
used at 100%, and the two nodes now in `dc3` would be used at 50%. Instead,
this happens:
```
==== CURRENT CLUSTER LAYOUT ====
ID Tags Zone Capacity Usable capacity
b10c110e4e854e5a node1 dc1 1000.0 MB 500.0 MB (50.0%)
a11c7cf18af29737 node4 dc1 1000.0 MB 500.0 MB (50.0%)
a235ac7695e0c54d node2 dc2 1000.0 MB 1000.0 MB (100.0%)
62b218d848e86a64 node3 dc3 1000.0 MB 1000.0 MB (100.0%)
Zone redundancy: maximum
Current cluster layout version: 8
==== STAGED ROLE CHANGES ====
ID Tags Zone Capacity
a11c7cf18af29737 node4 dc3 1000.0 MB
==== NEW CLUSTER LAYOUT AFTER APPLYING CHANGES ====
ID Tags Zone Capacity Usable capacity
b10c110e4e854e5a node1 dc1 1000.0 MB 1000.0 MB (100.0%)
a235ac7695e0c54d node2 dc2 1000.0 MB 1000.0 MB (100.0%)
62b218d848e86a64 node3 dc3 1000.0 MB 753.9 MB (75.4%)
a11c7cf18af29737 node4 dc3 1000.0 MB 246.1 MB (24.6%)
Zone redundancy: maximum
==== COMPUTATION OF A NEW PARTITION ASSIGNATION ====
Partitions are replicated 3 times on at least 3 distinct zones.
Optimal partition size: 3.9 MB (3.9 MB in previous layout)
Usable capacity / total cluster capacity: 3.0 GB / 4.0 GB (75.0 %)
Effective capacity (replication factor 3): 1000.0 MB
A total of 128 new copies of partitions need to be transferred.
dc1 Tags Partitions Capacity Usable capacity
b10c110e4e854e5a node1 256 (128 new) 1000.0 MB 1000.0 MB (100.0%)
TOTAL 256 (256 unique) 1000.0 MB 1000.0 MB (100.0%)
dc2 Tags Partitions Capacity Usable capacity
a235ac7695e0c54d node2 256 (0 new) 1000.0 MB 1000.0 MB (100.0%)
TOTAL 256 (256 unique) 1000.0 MB 1000.0 MB (100.0%)
dc3 Tags Partitions Capacity Usable capacity
62b218d848e86a64 node3 193 (0 new) 1000.0 MB 753.9 MB (75.4%)
a11c7cf18af29737 node4 63 (0 new) 1000.0 MB 246.1 MB (24.6%)
TOTAL 256 (256 unique) 2.0 GB 1000.0 MB (50.0%)
```
As we can see, the node that was moved to `dc3` (node4) is only used at 25% (approximatively),
whereas the node that was already in `dc3` (node3) is used at 75%.
This can be explained by the following:
- node1 will now be the only node remaining in `dc1`, thus it has to store all
of the data in the cluster. Since it was storing only half of it before, it has
to retrieve the other half from other nodes in the cluster.
- The data which it does not have is entirely stored by the other node that was
in `dc1` and that is now in `dc3` (node4). There is also a copy of it on node2
and node3 since both these nodes have a copy of everything.
- node3 and node4 are the two nodes that will now be in a datacenter that is
under-utilized (`dc3`), this means that those are the two candidates from which
data can be removed to be moved to node1.
- Garage will move data in equal proportions from all possible sources, in this
case it means that it will tranfer 25% of the entire data set from node3 to
node1 and another 25% from node4 to node1.
This explains why node3 ends with 75% utilization (100% from before minus 25%
that is moved to node1), and node4 ends with 25% (50% from before minus 25%
that is moved to node1).
This illustrates the second principle of the layout computation: **if there is
a choice in moving data out of some nodes, then all links between pairs of
nodes are used in equal proportions** (this is approximately true, there is
randomness in the algorihtm to achieve this so there might be some small
fluctuations, as we see above).

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@ -1,101 +0,0 @@
+++
title = "Multi-HDD support"
weight = 15
+++
Since v0.9, Garage natively supports nodes that have several storage drives
for storing data blocks (not for metadata storage).
## Initial setup
To set up a new Garage storage node with multiple HDDs,
format and mount all your drives in different directories,
and use a Garage configuration as follows:
```toml
data_dir = [
{ path = "/path/to/hdd1", capacity = "2T" },
{ path = "/path/to/hdd2", capacity = "4T" },
]
```
Garage will automatically balance all blocks stored by the node
among the different specified directories, proportionnally to the
specified capacities.
## Updating the list of storage locations
If you add new storage locations to your `data_dir`,
Garage will not rebalance existing data between storage locations.
Newly written blocks will be balanced proportionnally to the specified capacities,
and existing data may be moved between drives to improve balancing,
but only opportunistically when a data block is re-written (e.g. an object
is re-uploaded, or an object with a duplicate block is uploaded).
To understand precisely what is happening, we need to dive in to how Garage
splits data among the different storage locations.
First of all, Garage divides the set of all possible block hashes
in a fixed number of slices (currently 1024), and assigns
to each slice a primary storage location among the specified data directories.
The number of slices having their primary location in each data directory
is proportionnal to the capacity specified in the config file.
When Garage receives a block to write, it will always write it in the primary
directory of the slice that contains its hash.
Now, to be able to not lose existing data blocks when storage locations
are added, Garage also keeps a list of secondary data directories
for all of the hash slices. Secondary data directories for a slice indicates
storage locations that once were primary directories for that slice, i.e. where
Garage knows that data blocks of that slice might be stored.
When Garage is requested to read a certain data block,
it will first look in the primary storage directory of its slice,
and if it doesn't find it there it goes through all of the secondary storage
locations until it finds it. This allows Garage to continue operating
normally when storage locations are added, without having to shuffle
files between drives to place them in the correct location.
This relatively simple strategy works well but does not ensure that data
is correctly balanced among drives according to their capacity.
To rebalance data, two strategies can be used:
- Lazy rebalancing: when a block is re-written (e.g. the object is re-uploaded),
Garage checks whether the existing copy is in the primary directory of the slice
or in a secondary directory. If the current copy is in a secondary directory,
Garage re-writes a copy in the primary directory and deletes the one from the
secondary directory. This might never end up rebalancing everything if there
are data blocks that are only read and never written.
- Active rebalancing: an operator of a Garage node can explicitly launch a repair
procedure that rebalances the data directories, moving all blocks to their
primary location. Once done, all secondary locations for all hash slices are
removed so that they won't be checked anymore when looking for a data block.
## Read-only storage locations
If you would like to move all data blocks from an existing data directory to one
or several new data directories, mark the old directory as read-only:
```toml
data_dir = [
{ path = "/path/to/old_data", read_only = true },
{ path = "/path/to/new_hdd1", capacity = "2T" },
{ path = "/path/to/new_hdd2", capacity = "4T" },
]
```
Garage will be able to read requested blocks from the read-only directory.
Garage will also move data out of the read-only directory either progressively
(lazy rebalancing) or if requested explicitly (active rebalancing).
Once an active rebalancing has finished, your read-only directory should be empty:
it might still contain subdirectories, but no data files. You can check that
it contains no files using:
```bash
find -type f /path/to/old_data # should not print anything
```
at which point it can be removed from the `data_dir` list in your config file.

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@ -1,85 +0,0 @@
+++
title = "Upgrading Garage"
weight = 10
+++
Garage is a stateful clustered application, where all nodes are communicating together and share data structures.
It makes upgrade more difficult than stateless applications so you must be more careful when upgrading.
On a new version release, there is 2 possibilities:
- protocols and data structures remained the same ➡️ this is a **minor upgrade**
- protocols or data structures changed ➡️ this is a **major upgrade**
You can quickly now what type of update you will have to operate by looking at the version identifier:
when we require our users to do a major upgrade, we will always bump the first nonzero component of the version identifier
(e.g. from v0.7.2 to v0.8.0).
Conversely, for versions that only require a minor upgrade, the first nonzero component will always stay the same (e.g. from v0.8.0 to v0.8.1).
Major upgrades are designed to be run only between contiguous versions.
Example: migrations from v0.7.1 to v0.8.0 and from v0.7.0 to v0.8.2 are supported but migrations from v0.6.0 to v0.8.0 are not supported.
The `garage_build_info`
[Prometheus metric](@/documentation/reference-manual/monitoring.md) provides
an overview for which Garage versions are currently in use within a cluster.
## Minor upgrades
Minor upgrades do not imply cluster downtime.
Before upgrading, you should still read [the changelog](https://git.deuxfleurs.fr/Deuxfleurs/garage/releases) and ideally test your deployment on a staging cluster before.
When you are ready, start by checking the health of your cluster.
You can force some checks with `garage repair`, we recommend at least running `garage repair --all-nodes --yes tables` which is very quick to run (less than a minute).
You will see that the command correctly terminated in the logs of your daemon, or using `garage worker list` (the repair workers should be in the `Done` state).
Finally, you can simply upgrade nodes one by one.
For each node: stop it, install the new binary, edit the configuration if needed, restart it.
## Major upgrades
Major upgrades can be done with minimal downtime with a bit of preparation, but the simplest way is usually to put the cluster offline for the duration of the migration.
Before upgrading, you must read [the changelog](https://git.deuxfleurs.fr/Deuxfleurs/garage/releases) and you must test your deployment on a staging cluster before.
We write guides for each major upgrade, they are stored under the "Working Documents" section of this documentation.
### Major upgrades with full downtime
From a high level perspective, a major upgrade looks like this:
1. Disable API access (for instance in your reverse proxy, or by commenting the corresponding section in your Garage configuration file and restarting Garage)
2. Check that your cluster is idle
3. Make sure the health of your cluster is good (see `garage repair`)
4. Stop the whole cluster
5. Back up the metadata folder of all your nodes, so that you will be able to restore it if the upgrade fails (data blocks being immutable, they should not be impacted)
6. Install the new binary, update the configuration
7. Start the whole cluster
8. If needed, run the corresponding migration from `garage migrate`
9. Make sure the health of your cluster is good
10. Enable API access (reverse step 1)
11. Monitor your cluster while load comes back, check that all your applications are happy with this new version
### Major upgarades with minimal downtime
There is only one operation that has to be coordinated cluster-wide: the switch of one version of the internal RPC protocol to the next.
This means that an upgrade with very limited downtime can simply be performed from one major version to the next by restarting all nodes
simultaneously in the new version.
The downtime will simply be the time required for all nodes to stop and start again, which should be less than a minute.
If all nodes fail to stop and restart simultaneously, some nodes might be temporarily shut out from the cluster as nodes using different RPC protocol
versions are prevented to talk to one another.
The entire procedure would look something like this:
1. Make sure the health of your cluster is good (see `garage repair`)
2. Take each node offline individually to back up its metadata folder, bring them back online once the backup is done.
You can do all of the nodes in a single zone at once as that won't impact global cluster availability.
Do not try to make a backup of the metadata folder of a running node.
3. Prepare your binaries and configuration files for the new Garage version
4. Restart all nodes simultaneously in the new version
5. If any specific migration procedure is required, it is usually in one of the two cases:
- It can be run on online nodes after the new version has started, during regular cluster operation.
- it has to be run offline, in which case you will have to again take all nodes offline one after the other to run the repair
For this last step, please refer to the specific documentation pertaining to the version upgrade you are doing.

View File

@ -1,6 +1,6 @@
+++
title = "Quick Start"
weight = 10
weight = 0
sort_by = "weight"
template = "documentation.html"
+++
@ -35,9 +35,6 @@ Place this binary somewhere in your `$PATH` so that you can invoke the `garage`
command directly (for instance you can copy the binary in `/usr/local/bin`
or in `~/.local/bin`).
You may also check whether your distribution already includes a
[binary package for Garage](@/documentation/cookbook/binary-packages.md).
If a binary of the last version is not available for your architecture,
or if you want a build customized for your system,
you can [build Garage from source](@/documentation/cookbook/from-source.md).
@ -45,25 +42,25 @@ you can [build Garage from source](@/documentation/cookbook/from-source.md).
## Configuring and starting Garage
### Generating a first configuration file
### Writing a first configuration file
This first configuration file should allow you to get started easily with the simplest
possible Garage deployment.
**Save it as `/etc/garage.toml`.**
You can also store it somewhere else, but you will have to specify `-c path/to/garage.toml`
at each invocation of the `garage` binary (for example: `garage -c ./garage.toml server`, `garage -c ./garage.toml status`).
We will create it with the following command line
to generate unique and private secrets for security reasons:
```bash
cat > garage.toml <<EOF
```toml
metadata_dir = "/tmp/meta"
data_dir = "/tmp/data"
db_engine = "lmdb"
replication_mode = "none"
rpc_bind_addr = "[::]:3901"
rpc_public_addr = "127.0.0.1:3901"
rpc_secret = "$(openssl rand -hex 32)"
rpc_secret = "1799bccfd7411eddcf9ebd316bc1f5287ad12a68094e1c6ac6abde7e6feae1ec"
bootstrap_peers = []
[s3_api]
s3_region = "garage"
@ -74,25 +71,12 @@ root_domain = ".s3.garage.localhost"
bind_addr = "[::]:3902"
root_domain = ".web.garage.localhost"
index = "index.html"
[k2v_api]
api_bind_addr = "[::]:3904"
[admin]
api_bind_addr = "0.0.0.0:3903"
admin_token = "$(openssl rand -base64 32)"
EOF
```
Now that your configuration file has been created, you may save it to the directory of your choice.
By default, Garage looks for **`/etc/garage.toml`.**
You can also store it somewhere else, but you will have to specify `-c path/to/garage.toml`
at each invocation of the `garage` binary (for example: `garage -c ./garage.toml server`, `garage -c ./garage.toml status`).
The `rpc_secret` value provided above is just an example. It will work, but in
order to secure your cluster you will need to use another one. You can generate
such a value with `openssl rand -hex 32`.
As you can see, the `rpc_secret` is a 32 bytes hexadecimal string.
You can regenerate it with `openssl rand -hex 32`.
If you target a cluster deployment with multiple nodes, make sure that
you use the same value for all nodes.
As you can see in the `metadata_dir` and `data_dir` parameters, we are saving Garage's data
in `/tmp` which gets erased when your system reboots. This means that data stored on this
@ -102,14 +86,12 @@ your data to be persisted properly.
### Launching the Garage server
Use the following command to launch the Garage server:
Use the following command to launch the Garage server with our configuration file:
```
garage -c path/to/garage.toml server
garage server
```
If you have placed the `garage.toml` file in `/etc` (its default location), you can simply run `garage server`.
You can tune Garage's verbosity as follows (from less verbose to more verbose):
```
@ -127,7 +109,7 @@ Log level `debug` can help you check why your S3 API calls are not working.
The `garage` utility is also used as a CLI tool to configure your Garage deployment.
It uses values from the TOML configuration file to find the Garage daemon running on the
local node, therefore if your configuration file is not at `/etc/garage.toml` you will
again have to specify `-c path/to/garage.toml` at each invocation.
again have to specify `-c path/to/garage.toml`.
If the `garage` CLI is able to correctly detect the parameters of your local Garage node,
the following command should be enough to show the status of your cluster:
@ -141,7 +123,7 @@ This should show something like this:
```
==== HEALTHY NODES ====
ID Hostname Address Tag Zone Capacity
563e1ac825ee3323 linuxbox 127.0.0.1:3901 NO ROLE ASSIGNED
563e1ac825ee3323 linuxbox 127.0.0.1:3901 NO ROLE ASSIGNED
```
## Creating a cluster layout
@ -154,12 +136,12 @@ For our test deployment, we are using only one node. The way in which we configu
it does not matter, you can simply write:
```bash
garage layout assign -z dc1 -c 1G <node_id>
garage layout assign -z dc1 -c 1 <node_id>
```
where `<node_id>` corresponds to the identifier of the node shown by `garage status` (first column).
You can enter simply a prefix of that identifier.
For instance here you could write just `garage layout assign -z dc1 -c 1G 563e`.
For instance here you could write just `garage layout assign -z dc1 -c 1 563e`.
The layout then has to be applied to the cluster, using:
@ -210,7 +192,7 @@ one key can access multiple buckets, multiple keys can access one bucket.
Create an API key using the following command:
```
garage key create nextcloud-app-key
garage key new --name nextcloud-app-key
```
The output should look as follows:
@ -237,7 +219,6 @@ Now that we have a bucket and a key, we need to give permissions to the key on t
garage bucket allow \
--read \
--write \
--owner \
nextcloud-bucket \
--key nextcloud-app-key
```
@ -251,75 +232,54 @@ garage bucket info nextcloud-bucket
## Uploading and downlading from Garage
To download and upload files on garage, we can use a third-party tool named `awscli`.
We recommend the use of MinIO Client to interact with Garage files (`mc`).
Instructions to install it and use it are provided on the
[MinIO website](https://docs.min.io/docs/minio-client-quickstart-guide.html).
Before reading the following, you need a working `mc` command on your path.
Note that on certain Linux distributions such as Arch Linux, the Minio client binary
is called `mcli` instead of `mc` (to avoid name clashes with the Midnight Commander).
### Install and configure `awscli`
### Configure `mc`
If you have python on your system, you can install it with:
You need your access key and secret key created above.
We will assume you are invoking `mc` on the same machine as the Garage server,
your S3 API endpoint is therefore `http://127.0.0.1:3900`.
For this whole configuration, you must set an alias name: we chose `my-garage`, that you will used for all commands.
Adapt the following command accordingly and run it:
```bash
python -m pip install --user awscli
mc alias set \
my-garage \
http://127.0.0.1:3900 \
<access key> \
<secret key> \
--api S3v4
```
Now that `awscli` is installed, you must configure it to talk to your Garage instance,
with your key. There are multiple ways to do that, the simplest one is to create a file
named `~/.awsrc` with this content:
### Use `mc`
You can not list buckets from `mc` currently.
But the following commands and many more should work:
```bash
export AWS_ACCESS_KEY_ID=xxxx # put your Key ID here
export AWS_SECRET_ACCESS_KEY=xxxx # put your Secret key here
export AWS_DEFAULT_REGION='garage'
export AWS_ENDPOINT_URL='http://localhost:3900'
aws --version
mc cp image.png my-garage/nextcloud-bucket
mc cp my-garage/nextcloud-bucket/image.png .
mc ls my-garage/nextcloud-bucket
mc mirror localdir/ my-garage/another-bucket
```
Note you need to have at least `awscli` `>=1.29.0` or `>=2.13.0`, otherwise you
need to specify `--endpoint-url` explicitly on each `awscli` invocation.
Now, each time you want to use `awscli` on this target, run:
```bash
source ~/.awsrc
```
*You can create multiple files with different names if you
have multiple Garage clusters or different keys.
Switching from one cluster to another is as simple as
sourcing the right file.*
### Example usage of `awscli`
```bash
# list buckets
aws s3 ls
# list objects of a bucket
aws s3 ls s3://nextcloud-bucket
# copy from your filesystem to garage
aws s3 cp /proc/cpuinfo s3://nextcloud-bucket/cpuinfo.txt
# copy from garage to your filesystem
aws s3 cp s3://nextcloud-bucket/cpuinfo.txt /tmp/cpuinfo.txt
```
Note that you can use `awscli` for more advanced operations like
creating a bucket, pre-signing a request or managing your website.
[Read the full documentation to know more](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/s3/index.html).
Some features are however not implemented like ACL or policy.
Check [our s3 compatibility list](@/documentation/reference-manual/s3-compatibility.md).
### Other tools for interacting with Garage
The following tools can also be used to send and recieve files from/to Garage:
- [minio-client](@/documentation/connect/cli.md#minio-client)
- [s3cmd](@/documentation/connect/cli.md#s3cmd)
- [rclone](@/documentation/connect/cli.md#rclone)
- [Cyberduck](@/documentation/connect/cli.md#cyberduck)
- [WinSCP](@/documentation/connect/cli.md#winscp)
- the [AWS CLI](https://aws.amazon.com/cli/)
- [`rclone`](https://rclone.org/)
- [Cyberduck](https://cyberduck.io/)
- [`s3cmd`](https://s3tools.org/s3cmd)
An exhaustive list is maintained in the ["Integrations" > "Browsing tools" section](@/documentation/connect/_index.md).
Refer to the ["Integrations" section](@/documentation/connect/_index.md) to learn how to
configure application and command line utilities to integrate with Garage.

View File

@ -1,6 +1,6 @@
+++
title = "Reference Manual"
weight = 60
weight = 4
sort_by = "weight"
template = "documentation.html"
+++

View File

@ -1,6 +1,6 @@
+++
title = "Administration API"
weight = 40
weight = 60
+++
The Garage administration API is accessible through a dedicated server whose
@ -13,11 +13,8 @@ We will bump the version numbers prefixed to each API endpoint at each time the
or semantics change, meaning that code that relies on these endpoint will break
when changes are introduced.
Versions:
- Before Garage 0.7.2 - no admin API
- Garage 0.7.2 - admin APIv0
- Garage 0.9.0 - admin APIv1, deprecate admin APIv0
The Garage administration API was introduced in version 0.7.2, this document
does not apply to older versions of Garage.
## Access control
@ -42,107 +39,606 @@ Authorization: Bearer <token>
## Administration API endpoints
### Metrics `GET /metrics`
### Metrics-related endpoints
#### Metrics `GET /metrics`
Returns internal Garage metrics in Prometheus format.
The metrics are directly documented when returned by the API.
**Example:**
```
$ curl -i http://localhost:3903/metrics
HTTP/1.1 200 OK
content-type: text/plain; version=0.0.4
content-length: 12145
date: Tue, 08 Aug 2023 07:25:05 GMT
# HELP api_admin_error_counter Number of API calls to the various Admin API endpoints that resulted in errors
# TYPE api_admin_error_counter counter
api_admin_error_counter{api_endpoint="CheckWebsiteEnabled",status_code="400"} 1
api_admin_error_counter{api_endpoint="CheckWebsiteEnabled",status_code="404"} 3
# HELP api_admin_request_counter Number of API calls to the various Admin API endpoints
# TYPE api_admin_request_counter counter
api_admin_request_counter{api_endpoint="CheckWebsiteEnabled"} 7
api_admin_request_counter{api_endpoint="Health"} 3
# HELP api_admin_request_duration Duration of API calls to the various Admin API endpoints
...
```
### Health `GET /health`
Returns `200 OK` if enough nodes are up to have a quorum (ie. serve requests),
otherwise returns `503 Service Unavailable`.
**Example:**
```
$ curl -i http://localhost:3903/health
HTTP/1.1 200 OK
content-type: text/plain
content-length: 102
date: Tue, 08 Aug 2023 07:22:38 GMT
Garage is fully operational
Consult the full health check API endpoint at /v0/health for more details
```
### On-demand TLS `GET /check`
To prevent abuses for on-demand TLS, Caddy developpers have specified an endpoint that can be queried by the reverse proxy
to know if a given domain is allowed to get a certificate. Garage implements this endpoints to tell if a given domain is handled by Garage or is garbage.
Garage responds with the following logic:
- If the domain matches the pattern `<bucket-name>.<s3_api.root_domain>`, returns 200 OK
- If the domain matches the pattern `<bucket-name>.<s3_web.root_domain>` and website is configured for `<bucket>`, returns 200 OK
- If the domain matches the pattern `<bucket-name>` and website is configured for `<bucket>`, returns 200 OK
- Otherwise, returns 404 Not Found, 400 Bad Request or 5xx requests.
*Note 1: because in the path-style URL mode, there is only one domain that is not known by Garage, hence it is not supported by this API endpoint.
You must manually declare the domain in your reverse-proxy. Idem for K2V.*
*Note 2: buckets in a user's namespace are not supported yet by this endpoint. This is a limitation of this endpoint currently.*
**Example:** Suppose a Garage instance configured with `s3_api.root_domain = .s3.garage.localhost` and `s3_web.root_domain = .web.garage.localhost`.
With a private `media` bucket (name in the global namespace, website is disabled), the endpoint will feature the following behavior:
```
$ curl -so /dev/null -w "%{http_code}" http://localhost:3903/check?domain=media.s3.garage.localhost
200
$ curl -so /dev/null -w "%{http_code}" http://localhost:3903/check?domain=media
400
$ curl -so /dev/null -w "%{http_code}" http://localhost:3903/check?domain=media.web.garage.localhost
400
```
With a public `example.com` bucket (name in the global namespace, website is activated), the endpoint will feature the following behavior:
```
$ curl -so /dev/null -w "%{http_code}" http://localhost:3903/check?domain=example.com.s3.garage.localhost
200
$ curl -so /dev/null -w "%{http_code}" http://localhost:3903/check?domain=example.com
200
$ curl -so /dev/null -w "%{http_code}" http://localhost:3903/check?domain=example.com.web.garage.localhost
200
```
**References:**
- [Using On-Demand TLS](https://caddyserver.com/docs/automatic-https#using-on-demand-tls)
- [Add option for a backend check to approve use of on-demand TLS](https://github.com/caddyserver/caddy/pull/1939)
- [Serving tens of thousands of domains over HTTPS with Caddy](https://caddy.community/t/serving-tens-of-thousands-of-domains-over-https-with-caddy/11179)
### Cluster operations
These endpoints have a dedicated OpenAPI spec.
- APIv1 - [HTML spec](https://garagehq.deuxfleurs.fr/api/garage-admin-v1.html) - [OpenAPI YAML](https://garagehq.deuxfleurs.fr/api/garage-admin-v1.yml)
- APIv0 (deprecated) - [HTML spec](https://garagehq.deuxfleurs.fr/api/garage-admin-v0.html) - [OpenAPI YAML](https://garagehq.deuxfleurs.fr/api/garage-admin-v0.yml)
#### GetClusterStatus `GET /v0/status`
Requesting the API from the command line can be as simple as running:
Returns the cluster's current status in JSON, including:
```bash
curl -H 'Authorization: Bearer s3cr3t' http://localhost:3903/v0/status | jq
- ID of the node being queried and its version of the Garage daemon
- Live nodes
- Currently configured cluster layout
- Staged changes to the cluster layout
Example response body:
```json
{
"node": "ec79480e0ce52ae26fd00c9da684e4fa56658d9c64cdcecb094e936de0bfe71f",
"garage_version": "git:v0.8.0",
"knownNodes": {
"ec79480e0ce52ae26fd00c9da684e4fa56658d9c64cdcecb094e936de0bfe71f": {
"addr": "10.0.0.11:3901",
"is_up": true,
"last_seen_secs_ago": 9,
"hostname": "node1"
},
"4a6ae5a1d0d33bf895f5bb4f0a418b7dc94c47c0dd2eb108d1158f3c8f60b0ff": {
"addr": "10.0.0.12:3901",
"is_up": true,
"last_seen_secs_ago": 1,
"hostname": "node2"
},
"23ffd0cdd375ebff573b20cc5cef38996b51c1a7d6dbcf2c6e619876e507cf27": {
"addr": "10.0.0.21:3901",
"is_up": true,
"last_seen_secs_ago": 7,
"hostname": "node3"
},
"e2ee7984ee65b260682086ec70026165903c86e601a4a5a501c1900afe28d84b": {
"addr": "10.0.0.22:3901",
"is_up": true,
"last_seen_secs_ago": 1,
"hostname": "node4"
}
},
"layout": {
"version": 12,
"roles": {
"ec79480e0ce52ae26fd00c9da684e4fa56658d9c64cdcecb094e936de0bfe71f": {
"zone": "dc1",
"capacity": 4,
"tags": [
"node1"
]
},
"4a6ae5a1d0d33bf895f5bb4f0a418b7dc94c47c0dd2eb108d1158f3c8f60b0ff": {
"zone": "dc1",
"capacity": 6,
"tags": [
"node2"
]
},
"23ffd0cdd375ebff573b20cc5cef38996b51c1a7d6dbcf2c6e619876e507cf27": {
"zone": "dc2",
"capacity": 10,
"tags": [
"node3"
]
}
},
"stagedRoleChanges": {
"e2ee7984ee65b260682086ec70026165903c86e601a4a5a501c1900afe28d84b": {
"zone": "dc2",
"capacity": 5,
"tags": [
"node4"
]
}
}
}
}
```
For more advanced use cases, we recommend using a SDK.
[Go to the "Build your own app" section to know how to use our SDKs](@/documentation/build/_index.md)
#### ConnectClusterNodes `POST /v0/connect`
Instructs this Garage node to connect to other Garage nodes at specified addresses.
Example request body:
```json
[
"ec79480e0ce52ae26fd00c9da684e4fa56658d9c64cdcecb094e936de0bfe71f@10.0.0.11:3901",
"4a6ae5a1d0d33bf895f5bb4f0a418b7dc94c47c0dd2eb108d1158f3c8f60b0ff@10.0.0.12:3901"
]
```
The format of the string for a node to connect to is: `<node ID>@<ip address>:<port>`, same as in the `garage node connect` CLI call.
Example response:
```json
[
{
"success": true,
"error": null
},
{
"success": false,
"error": "Handshake error"
}
]
```
#### GetClusterLayout `GET /v0/layout`
Returns the cluster's current layout in JSON, including:
- Currently configured cluster layout
- Staged changes to the cluster layout
(the info returned by this endpoint is a subset of the info returned by GetClusterStatus)
Example response body:
```json
{
"version": 12,
"roles": {
"ec79480e0ce52ae26fd00c9da684e4fa56658d9c64cdcecb094e936de0bfe71f": {
"zone": "dc1",
"capacity": 4,
"tags": [
"node1"
]
},
"4a6ae5a1d0d33bf895f5bb4f0a418b7dc94c47c0dd2eb108d1158f3c8f60b0ff": {
"zone": "dc1",
"capacity": 6,
"tags": [
"node2"
]
},
"23ffd0cdd375ebff573b20cc5cef38996b51c1a7d6dbcf2c6e619876e507cf27": {
"zone": "dc2",
"capacity": 10,
"tags": [
"node3"
]
}
},
"stagedRoleChanges": {
"e2ee7984ee65b260682086ec70026165903c86e601a4a5a501c1900afe28d84b": {
"zone": "dc2",
"capacity": 5,
"tags": [
"node4"
]
}
}
}
```
#### UpdateClusterLayout `POST /v0/layout`
Send modifications to the cluster layout. These modifications will
be included in the staged role changes, visible in subsequent calls
of `GetClusterLayout`. Once the set of staged changes is satisfactory,
the user may call `ApplyClusterLayout` to apply the changed changes,
or `Revert ClusterLayout` to clear all of the staged changes in
the layout.
Request body format:
```json
{
<node_id>: {
"capacity": <new_capacity>,
"zone": <new_zone>,
"tags": [
<new_tag>,
...
]
},
<node_id_to_remove>: null,
...
}
```
Contrary to the CLI that may update only a subset of the fields
`capacity`, `zone` and `tags`, when calling this API all of these
values must be specified.
#### ApplyClusterLayout `POST /v0/layout/apply`
Applies to the cluster the layout changes currently registered as
staged layout changes.
Request body format:
```json
{
"version": 13
}
```
Similarly to the CLI, the body must include the version of the new layout
that will be created, which MUST be 1 + the value of the currently
existing layout in the cluster.
#### RevertClusterLayout `POST /v0/layout/revert`
Clears all of the staged layout changes.
Request body format:
```json
{
"version": 13
}
```
Reverting the staged changes is done by incrementing the version number
and clearing the contents of the staged change list.
Similarly to the CLI, the body must include the incremented
version number, which MUST be 1 + the value of the currently
existing layout in the cluster.
### Access key operations
#### ListKeys `GET /v0/key`
Returns all API access keys in the cluster.
Example response:
```json
[
{
"id": "GK31c2f218a2e44f485b94239e",
"name": "test"
},
{
"id": "GKe10061ac9c2921f09e4c5540",
"name": "test2"
}
]
```
#### CreateKey `POST /v0/key`
Creates a new API access key.
Request body format:
```json
{
"name": "NameOfMyKey"
}
```
#### ImportKey `POST /v0/key/import`
Imports an existing API key.
Request body format:
```json
{
"accessKeyId": "GK31c2f218a2e44f485b94239e",
"secretAccessKey": "b892c0665f0ada8a4755dae98baa3b133590e11dae3bcc1f9d769d67f16c3835",
"name": "NameOfMyKey"
}
```
#### GetKeyInfo `GET /v0/key?id=<acces key id>`
#### GetKeyInfo `GET /v0/key?search=<pattern>`
Returns information about the requested API access key.
If `id` is set, the key is looked up using its exact identifier (faster).
If `search` is set, the key is looked up using its name or prefix
of identifier (slower, all keys are enumerated to do this).
Example response:
```json
{
"name": "test",
"accessKeyId": "GK31c2f218a2e44f485b94239e",
"secretAccessKey": "b892c0665f0ada8a4755dae98baa3b133590e11dae3bcc1f9d769d67f16c3835",
"permissions": {
"createBucket": false
},
"buckets": [
{
"id": "70dc3bed7fe83a75e46b66e7ddef7d56e65f3c02f9f80b6749fb97eccb5e1033",
"globalAliases": [
"test2"
],
"localAliases": [],
"permissions": {
"read": true,
"write": true,
"owner": false
}
},
{
"id": "d7452a935e663fc1914f3a5515163a6d3724010ce8dfd9e4743ca8be5974f995",
"globalAliases": [
"test3"
],
"localAliases": [],
"permissions": {
"read": true,
"write": true,
"owner": false
}
},
{
"id": "e6a14cd6a27f48684579ec6b381c078ab11697e6bc8513b72b2f5307e25fff9b",
"globalAliases": [],
"localAliases": [
"test"
],
"permissions": {
"read": true,
"write": true,
"owner": true
}
},
{
"id": "96470e0df00ec28807138daf01915cfda2bee8eccc91dea9558c0b4855b5bf95",
"globalAliases": [
"alex"
],
"localAliases": [],
"permissions": {
"read": true,
"write": true,
"owner": true
}
}
]
}
```
#### DeleteKey `DELETE /v0/key?id=<acces key id>`
Deletes an API access key.
#### UpdateKey `POST /v0/key?id=<acces key id>`
Updates information about the specified API access key.
Request body format:
```json
{
"name": "NameOfMyKey",
"allow": {
"createBucket": true,
},
"deny": {}
}
```
All fields (`name`, `allow` and `deny`) are optionnal.
If they are present, the corresponding modifications are applied to the key, otherwise nothing is changed.
The possible flags in `allow` and `deny` are: `createBucket`.
### Bucket operations
#### ListBuckets `GET /v0/bucket`
Returns all storage buckets in the cluster.
Example response:
```json
[
{
"id": "70dc3bed7fe83a75e46b66e7ddef7d56e65f3c02f9f80b6749fb97eccb5e1033",
"globalAliases": [
"test2"
],
"localAliases": []
},
{
"id": "96470e0df00ec28807138daf01915cfda2bee8eccc91dea9558c0b4855b5bf95",
"globalAliases": [
"alex"
],
"localAliases": []
},
{
"id": "d7452a935e663fc1914f3a5515163a6d3724010ce8dfd9e4743ca8be5974f995",
"globalAliases": [
"test3"
],
"localAliases": []
},
{
"id": "e6a14cd6a27f48684579ec6b381c078ab11697e6bc8513b72b2f5307e25fff9b",
"globalAliases": [],
"localAliases": [
{
"accessKeyId": "GK31c2f218a2e44f485b94239e",
"alias": "test"
}
]
}
]
```
#### GetBucketInfo `GET /v0/bucket?id=<bucket id>`
#### GetBucketInfo `GET /v0/bucket?globalAlias=<alias>`
Returns information about the requested storage bucket.
If `id` is set, the bucket is looked up using its exact identifier.
If `globalAlias` is set, the bucket is looked up using its global alias.
(both are fast)
Example response:
```json
{
"id": "afa8f0a22b40b1247ccd0affb869b0af5cff980924a20e4b5e0720a44deb8d39",
"globalAliases": [],
"websiteAccess": false,
"websiteConfig": null,
"keys": [
{
"accessKeyId": "GK31c2f218a2e44f485b94239e",
"name": "Imported key",
"permissions": {
"read": true,
"write": true,
"owner": true
},
"bucketLocalAliases": [
"debug"
]
}
],
"objects": 14827,
"bytes": 13189855625,
"unfinshedUploads": 0,
"quotas": {
"maxSize": null,
"maxObjects": null
}
}
```
#### CreateBucket `POST /v0/bucket`
Creates a new storage bucket.
Request body format:
```json
{
"globalAlias": "NameOfMyBucket"
}
```
OR
```json
{
"localAlias": {
"accessKeyId": "GK31c2f218a2e44f485b94239e",
"alias": "NameOfMyBucket",
"allow": {
"read": true,
"write": true,
"owner": false
}
}
}
```
OR
```json
{}
```
Creates a new bucket, either with a global alias, a local one,
or no alias at all.
Technically, you can also specify both `globalAlias` and `localAlias` and that would create
two aliases, but I don't see why you would want to do that.
#### DeleteBucket `DELETE /v0/bucket?id=<bucket id>`
Deletes a storage bucket. A bucket cannot be deleted if it is not empty.
Warning: this will delete all aliases associated with the bucket!
#### UpdateBucket `PUT /v0/bucket?id=<bucket id>`
Updates configuration of the given bucket.
Request body format:
```json
{
"websiteAccess": {
"enabled": true,
"indexDocument": "index.html",
"errorDocument": "404.html"
},
"quotas": {
"maxSize": 19029801,
"maxObjects": null,
}
}
```
All fields (`websiteAccess` and `quotas`) are optionnal.
If they are present, the corresponding modifications are applied to the bucket, otherwise nothing is changed.
In `websiteAccess`: if `enabled` is `true`, `indexDocument` must be specified.
The field `errorDocument` is optional, if no error document is set a generic
error message is displayed when errors happen. Conversely, if `enabled` is
`false`, neither `indexDocument` nor `errorDocument` must be specified.
In `quotas`: new values of `maxSize` and `maxObjects` must both be specified, or set to `null`
to remove the quotas. An absent value will be considered the same as a `null`. It is not possible
to change only one of the two quotas.
### Operations on permissions for keys on buckets
#### BucketAllowKey `POST /v0/bucket/allow`
Allows a key to do read/write/owner operations on a bucket.
Request body format:
```json
{
"bucketId": "e6a14cd6a27f48684579ec6b381c078ab11697e6bc8513b72b2f5307e25fff9b",
"accessKeyId": "GK31c2f218a2e44f485b94239e",
"permissions": {
"read": true,
"write": true,
"owner": true
},
}
```
Flags in `permissions` which have the value `true` will be activated.
Other flags will remain unchanged.
#### BucketDenyKey `POST /v0/bucket/deny`
Denies a key from doing read/write/owner operations on a bucket.
Request body format:
```json
{
"bucketId": "e6a14cd6a27f48684579ec6b381c078ab11697e6bc8513b72b2f5307e25fff9b",
"accessKeyId": "GK31c2f218a2e44f485b94239e",
"permissions": {
"read": false,
"write": false,
"owner": true
},
}
```
Flags in `permissions` which have the value `true` will be deactivated.
Other flags will remain unchanged.
### Operations on bucket aliases
#### GlobalAliasBucket `PUT /v0/bucket/alias/global?id=<bucket id>&alias=<global alias>`
Empty body. Creates a global alias for a bucket.
#### GlobalUnaliasBucket `DELETE /v0/bucket/alias/global?id=<bucket id>&alias=<global alias>`
Removes a global alias for a bucket.
#### LocalAliasBucket `PUT /v0/bucket/alias/local?id=<bucket id>&accessKeyId=<access key ID>&alias=<local alias>`
Empty body. Creates a local alias for a bucket in the namespace of a specific access key.
#### LocalUnaliasBucket `DELETE /v0/bucket/alias/local?id=<bucket id>&accessKeyId<access key ID>&alias=<local alias>`
Removes a local alias for a bucket in the namespace of a specific access key.

View File

@ -3,25 +3,15 @@ title = "Configuration file format"
weight = 20
+++
## Full example
Here is an example `garage.toml` configuration file that illustrates all of the possible options:
```toml
replication_mode = "3"
metadata_dir = "/var/lib/garage/meta"
data_dir = "/var/lib/garage/data"
metadata_fsync = true
data_fsync = false
db_engine = "lmdb"
block_size = 1048576
sled_cache_capacity = "128MiB"
sled_flush_every_ms = 2000
lmdb_map_size = "1T"
replication_mode = "3"
compression_level = 1
@ -36,26 +26,15 @@ bootstrap_peers = [
"212fd62eeaca72c122b45a7f4fa0f55e012aa5e24ac384a72a3016413fa724ff@[fc00:F::1]:3901",
]
consul_host = "consul.service"
consul_service_name = "garage-daemon"
[consul_discovery]
api = "catalog"
consul_http_addr = "http://127.0.0.1:8500"
service_name = "garage-daemon"
ca_cert = "/etc/consul/consul-ca.crt"
client_cert = "/etc/consul/consul-client.crt"
client_key = "/etc/consul/consul-key.crt"
# for `agent` API mode, unset client_cert and client_key, and optionally enable `token`
# token = "abcdef-01234-56789"
tls_skip_verify = false
tags = [ "dns-enabled" ]
meta = { dns-acl = "allow trusted" }
[kubernetes_discovery]
namespace = "garage"
service_name = "garage-daemon"
skip_crd = false
kubernetes_namespace = "garage"
kubernetes_service_name = "garage-daemon"
kubernetes_skip_crd = false
sled_cache_capacity = 134217728
sled_flush_every_ms = 2000
[s3_api]
api_bind_addr = "[::]:3900"
@ -77,64 +56,37 @@ The following gives details about each available configuration option.
## Available configuration options
### Index
### `metadata_dir`
Top-level configuration options:
[`block_size`](#block_size),
[`bootstrap_peers`](#bootstrap_peers),
[`compression_level`](#compression_level),
[`data_dir`](#metadata_dir),
[`data_fsync`](#data_fsync),
[`db_engine`](#db_engine),
[`lmdb_map_size`](#lmdb_map_size),
[`metadata_dir`](#metadata_dir),
[`metadata_fsync`](#metadata_fsync),
[`replication_mode`](#replication_mode),
[`rpc_bind_addr`](#rpc_bind_addr),
[`rpc_public_addr`](#rpc_public_addr),
[`rpc_secret`](#rpc_secret),
[`rpc_secret_file`](#rpc_secret),
[`sled_cache_capacity`](#sled_cache_capacity),
[`sled_flush_every_ms`](#sled_flush_every_ms).
The directory in which Garage will store its metadata. This contains the node identifier,
the network configuration and the peer list, the list of buckets and keys as well
as the index of all objects, object version and object blocks.
The `[consul_discovery]` section:
[`api`](#consul_api),
[`ca_cert`](#consul_ca_cert),
[`client_cert`](#consul_client_cert),
[`client_key`](#consul_client_cert),
[`consul_http_addr`](#consul_http_addr),
[`meta`](#consul_tags),
[`service_name`](#consul_service_name),
[`tags`](#consul_tags),
[`tls_skip_verify`](#consul_tls_skip_verify),
[`token`](#consul_token).
Store this folder on a fast SSD drive if possible to maximize Garage's performance.
The `[kubernetes_discovery]` section:
[`namespace`](#kube_namespace),
[`service_name`](#kube_service_name),
[`skip_crd`](#kube_skip_crd).
### `data_dir`
The `[s3_api]` section:
[`api_bind_addr`](#s3_api_bind_addr),
[`root_domain`](#s3_root_domain),
[`s3_region`](#s3_region).
The directory in which Garage will store the data blocks of objects.
This folder can be placed on an HDD. The space available for `data_dir`
should be counted to determine a node's capacity
when [adding it to the cluster layout](@/documentation/cookbook/real-world.md).
The `[s3_web]` section:
[`bind_addr`](#web_bind_addr),
[`root_domain`](#web_root_domain).
### `block_size`
The `[admin]` section:
[`api_bind_addr`](#admin_api_bind_addr),
[`metrics_token`](#admin_metrics_token),
[`metrics_token_file`](#admin_metrics_token),
[`admin_token`](#admin_token),
[`admin_token_file`](#admin_token),
[`trace_sink`](#admin_trace_sink),
Garage splits stored objects in consecutive chunks of size `block_size`
(except the last one which might be smaller). The default size is 1MB and
should work in most cases. We recommend increasing it to e.g. 10MB if
you are using Garage to store large files and have fast network connections
between all nodes (e.g. 1gbps).
If you are interested in tuning this, feel free to do so (and remember to
report your findings to us!). When this value is changed for a running Garage
installation, only files newly uploaded will be affected. Previously uploaded
files will remain available. This however means that chunks from existing files
will not be deduplicated with chunks from newly uploaded files, meaning you
might use more storage space that is optimally possible.
### Top-level configuration options
#### `replication_mode` {#replication_mode}
### `replication_mode`
Garage supports the following replication modes:
@ -181,7 +133,7 @@ Garage supports the following replication modes:
that should probably never be used.
Note that in modes `2` and `3`,
if at least the same number of zones are available, an arbitrary number of failures in
if at least the same number of zones are available, an arbitrary number of failures in
any given zone is tolerated as copies of data will be spread over several zones.
**Make sure `replication_mode` is the same in the configuration files of all nodes.
@ -217,160 +169,7 @@ to the cluster while rebalancing is in progress. In theory, no data should be
lost as rebalancing is a routine operation for Garage, although we cannot
guarantee you that everything will go right in such an extreme scenario.
#### `metadata_dir` {#metadata_dir}
The directory in which Garage will store its metadata. This contains the node identifier,
the network configuration and the peer list, the list of buckets and keys as well
as the index of all objects, object version and object blocks.
Store this folder on a fast SSD drive if possible to maximize Garage's performance.
#### `data_dir` {#data_dir}
The directory in which Garage will store the data blocks of objects.
This folder can be placed on an HDD. The space available for `data_dir`
should be counted to determine a node's capacity
when [adding it to the cluster layout](@/documentation/cookbook/real-world.md).
Since `v0.9.0`, Garage supports multiple data directories with the following syntax:
```toml
data_dir = [
{ path = "/path/to/old_data", read_only = true },
{ path = "/path/to/new_hdd1", capacity = "2T" },
{ path = "/path/to/new_hdd2", capacity = "4T" },
]
```
See [the dedicated documentation page](@/documentation/operations/multi-hdd.md)
on how to operate Garage in such a setup.
#### `db_engine` (since `v0.8.0`) {#db_engine}
Since `v0.8.0`, Garage can use alternative storage backends as follows:
| DB engine | `db_engine` value | Database path |
| --------- | ----------------- | ------------- |
| [LMDB](https://www.lmdb.tech) (default since `v0.9.0`) | `"lmdb"` | `<metadata_dir>/db.lmdb/` |
| [Sled](https://sled.rs) (default up to `v0.8.0`) | `"sled"` | `<metadata_dir>/db/` |
| [Sqlite](https://sqlite.org) | `"sqlite"` | `<metadata_dir>/db.sqlite` |
Sled was the only database engine up to Garage v0.7.0. Performance issues and
API limitations of Sled prompted the addition of alternative engines in v0.8.0.
Since v0.9.0, LMDB is the default engine instead of Sled, and Sled is
deprecated. We plan to remove Sled in Garage v1.0.
Performance characteristics of the different DB engines are as follows:
- Sled: tends to produce large data files and also has performance issues,
especially when the metadata folder is on a traditional HDD and not on SSD.
- LMDB: the recommended database engine on 64-bit systems, much more
space-efficient and slightly faster. Note that the data format of LMDB is not
portable between architectures, so for instance the Garage database of an
x86-64 node cannot be moved to an ARM64 node. Also note that, while LMDB can
technically be used on 32-bit systems, this will limit your node to very
small database sizes due to how LMDB works; it is therefore not recommended.
- Sqlite: Garage supports Sqlite as an alternative storage backend for
metadata, and although it has not been tested as much, it is expected to work
satisfactorily. Since Garage v0.9.0, performance issues have largely been
fixed by allowing for a no-fsync mode (see `metadata_fsync`). Sqlite does not
have the database size limitation of LMDB on 32-bit systems.
It is possible to convert Garage's metadata directory from one format to another
using the `garage convert-db` command, which should be used as follows:
```
garage convert-db -a <input db engine> -i <input db path> \
-b <output db engine> -o <output db path>
```
Make sure to specify the full database path as presented in the table above
(third colummn), and not just the path to the metadata directory.
#### `metadata_fsync` {#metadata_fsync}
Whether to enable synchronous mode for the database engine or not.
This is disabled (`false`) by default.
This reduces the risk of metadata corruption in case of power failures,
at the cost of a significant drop in write performance,
as Garage will have to pause to sync data to disk much more often
(several times for API calls such as PutObject).
Using this option reduces the risk of simultaneous metadata corruption on several
cluster nodes, which could lead to data loss.
If multi-site replication is used, this option is most likely not necessary, as
it is extremely unlikely that two nodes in different locations will have a
power failure at the exact same time.
(Metadata corruption on a single node is not an issue, the corrupted data file
can always be deleted and reconstructed from the other nodes in the cluster.)
Here is how this option impacts the different database engines:
| Database | `metadata_fsync = false` (default) | `metadata_fsync = true` |
|----------|------------------------------------|-------------------------------|
| Sled | default options | *unsupported* |
| Sqlite | `PRAGMA synchronous = OFF` | `PRAGMA synchronous = NORMAL` |
| LMDB | `MDB_NOMETASYNC` + `MDB_NOSYNC` | `MDB_NOMETASYNC` |
Note that the Sqlite database is always ran in `WAL` mode (`PRAGMA journal_mode = WAL`).
#### `data_fsync` {#data_fsync}
Whether to `fsync` data blocks and their containing directory after they are
saved to disk.
This is disabled (`false`) by default.
This might reduce the risk that a data block is lost in rare
situations such as simultaneous node losing power,
at the cost of a moderate drop in write performance.
Similarly to `metatada_fsync`, this is likely not necessary
if geographical replication is used.
#### `block_size` {#block_size}
Garage splits stored objects in consecutive chunks of size `block_size`
(except the last one which might be smaller). The default size is 1MiB and
should work in most cases. We recommend increasing it to e.g. 10MiB if
you are using Garage to store large files and have fast network connections
between all nodes (e.g. 1gbps).
If you are interested in tuning this, feel free to do so (and remember to
report your findings to us!). When this value is changed for a running Garage
installation, only files newly uploaded will be affected. Previously uploaded
files will remain available. This however means that chunks from existing files
will not be deduplicated with chunks from newly uploaded files, meaning you
might use more storage space that is optimally possible.
#### `sled_cache_capacity` {#sled_cache_capacity}
This parameter can be used to tune the capacity of the cache used by
[sled](https://sled.rs), the database Garage uses internally to store metadata.
Tune this to fit the RAM you wish to make available to your Garage instance.
This value has a conservative default (128MB) so that Garage doesn't use too much
RAM by default, but feel free to increase this for higher performance.
#### `sled_flush_every_ms` {#sled_flush_every_ms}
This parameters can be used to tune the flushing interval of sled.
Increase this if sled is thrashing your SSD, at the risk of losing more data in case
of a power outage (though this should not matter much as data is replicated on other
nodes). The default value, 2000ms, should be appropriate for most use cases.
#### `lmdb_map_size` {#lmdb_map_size}
This parameters can be used to set the map size used by LMDB,
which is the size of the virtual memory region used for mapping the database file.
The value of this parameter is the maximum size the metadata database can take.
This value is not bound by the physical RAM size of the machine running Garage.
If not specified, it defaults to 1GiB on 32-bit machines and 1TiB on 64-bit machines.
#### `compression_level` {#compression_level}
### `compression_level`
Zstd compression level to use for storing blocks.
@ -378,7 +177,7 @@ Values between `1` (faster compression) and `19` (smaller file) are standard com
levels for zstd. From `20` to `22`, compression levels are referred as "ultra" and must be
used with extra care as it will use lot of memory. A value of `0` will let zstd choose a
default value (currently `3`). Finally, zstd has also compression designed to be faster
than default compression levels, they range from `-1` (smaller file) to `-99` (faster
than default compression levels, they range from `-1` (smaller file) to `-99` (faster
compression).
If you do not specify a `compression_level` entry, Garage will set it to `1` for you. With
@ -394,19 +193,15 @@ Compression is done synchronously, setting a value too high will add latency to
This value can be different between nodes, compression is done by the node which receive the
API call.
#### `rpc_secret`, `rpc_secret_file` or `GARAGE_RPC_SECRET` (env) {#rpc_secret}
### `rpc_secret`
Garage uses a secret key, called an RPC secret, that is shared between all
nodes of the cluster in order to identify these nodes and allow them to
communicate together. The RPC secret is a 32-byte hex-encoded random string,
which can be generated with a command such as `openssl rand -hex 32`.
Garage uses a secret key that is shared between all nodes of the cluster
in order to identify these nodes and allow them to communicate together.
This key should be specified here in the form of a 32-byte hex-encoded
random string. Such a string can be generated with a command
such as `openssl rand -hex 32`.
The RPC secret should be specified in the `rpc_secret` configuration variable.
Since Garage `v0.8.2`, the RPC secret can also be stored in a file whose path is
given in the configuration variable `rpc_secret_file`, or specified as an
environment variable `GARAGE_RPC_SECRET`.
#### `rpc_bind_addr` {#rpc_bind_addr}
### `rpc_bind_addr`
The address and port on which to bind for inter-cluster communcations
(reffered to as RPC for remote procedure calls).
@ -415,14 +210,14 @@ the node, even in the case of a NAT: the NAT should be configured to forward the
port number to the same internal port nubmer. This means that if you have several nodes running
behind a NAT, they should each use a different RPC port number.
#### `rpc_public_addr` {#rpc_public_addr}
### `rpc_public_addr`
The address and port that other nodes need to use to contact this node for
RPC calls. **This parameter is optional but recommended.** In case you have
a NAT that binds the RPC port to a port that is different on your public IP,
this field might help making it work.
#### `bootstrap_peers` {#bootstrap_peers}
### `bootstrap_peers`
A list of peer identifiers on which to contact other Garage peers of this cluster.
These peer identifiers have the following syntax:
@ -438,107 +233,65 @@ be obtained by running `garage node id` and then included directly in the
key will be returned by `garage node id` and you will have to add the IP
yourself.
### The `[consul_discovery]` section
### `consul_host` and `consul_service_name`
Garage supports discovering other nodes of the cluster using Consul. For this
to work correctly, nodes need to know their IP address by which they can be
reached by other nodes of the cluster, which should be set in `rpc_public_addr`.
#### `consul_http_addr` {#consul_http_addr}
The `consul_http_addr` parameter should be set to the full HTTP(S) address of the Consul server.
#### `api` {#consul_api}
Two APIs for service registration are supported: `catalog` and `agent`. `catalog`, the default, will register a service using
the `/v1/catalog` endpoints, enabling mTLS if `client_cert` and `client_key` are provided. The `agent` API uses the
`v1/agent` endpoints instead, where an optional `token` may be provided.
#### `service_name` {#consul_service_name}
`service_name` should be set to the service name under which Garage's
The `consul_host` parameter should be set to the hostname of the Consul server,
and `consul_service_name` should be set to the service name under which Garage's
RPC ports are announced.
#### `client_cert`, `client_key` {#consul_client_cert}
Garage does not yet support talking to Consul over TLS.
TLS client certificate and client key to use when communicating with Consul over TLS. Both are mandatory when doing so.
Only available when `api = "catalog"`.
#### `ca_cert` {#consul_ca_cert}
TLS CA certificate to use when communicating with Consul over TLS.
#### `tls_skip_verify` {#consul_tls_skip_verify}
Skip server hostname verification in TLS handshake.
`ca_cert` is ignored when this is set.
#### `token` {#consul_token}
Uses the provided token for communication with Consul. Only available when `api = "agent"`.
The policy assigned to this token should at least have these rules:
```hcl
// the `service_name` specified above
service "garage" {
policy = "write"
}
service_prefix "" {
policy = "read"
}
node_prefix "" {
policy = "read"
}
```
#### `tags` and `meta` {#consul_tags}
Additional list of tags and map of service meta to add during service registration.
### The `[kubernetes_discovery]` section
### `kubernetes_namespace`, `kubernetes_service_name` and `kubernetes_skip_crd`
Garage supports discovering other nodes of the cluster using kubernetes custom
resources. For this to work, a `[kubernetes_discovery]` section must be present
with at least the `namespace` and `service_name` parameters.
resources. For this to work `kubernetes_namespace` and `kubernetes_service_name`
need to be configured.
#### `namespace` {#kube_namespace}
`namespace` sets the namespace in which the custom resources are
configured.
#### `service_name` {#kube_service_name}
`service_name` is added as a label to the advertised resources to
`kubernetes_namespace` sets the namespace in which the custom resources are
configured. `kubernetes_service_name` is added as a label to these resources to
filter them, to allow for multiple deployments in a single namespace.
#### `skip_crd` {#kube_skip_crd}
`skip_crd` can be set to true to disable the automatic creation and
`kubernetes_skip_crd` can be set to true to disable the automatic creation and
patching of the `garagenodes.deuxfleurs.fr` CRD. You will need to create the CRD
manually.
### `sled_cache_capacity`
### The `[s3_api]` section
This parameter can be used to tune the capacity of the cache used by
[sled](https://sled.rs), the database Garage uses internally to store metadata.
Tune this to fit the RAM you wish to make available to your Garage instance.
This value has a conservative default (128MB) so that Garage doesn't use too much
RAM by default, but feel free to increase this for higher performance.
#### `api_bind_addr` {#s3_api_bind_addr}
### `sled_flush_every_ms`
This parameters can be used to tune the flushing interval of sled.
Increase this if sled is thrashing your SSD, at the risk of losing more data in case
of a power outage (though this should not matter much as data is replicated on other
nodes). The default value, 2000ms, should be appropriate for most use cases.
## The `[s3_api]` section
### `api_bind_addr`
The IP and port on which to bind for accepting S3 API calls.
This endpoint does not suport TLS: a reverse proxy should be used to provide it.
Alternatively, since `v0.8.5`, a path can be used to create a unix socket with 0222 mode.
#### `s3_region` {#s3_region}
### `s3_region`
Garage will accept S3 API calls that are targetted to the S3 region defined here.
API calls targetted to other regions will fail with a AuthorizationHeaderMalformed error
message that redirects the client to the correct region.
#### `root_domain` {#s3_root_domain}
### `root_domain` {#root_domain}
The optional suffix to access bucket using vhost-style in addition to path-style request.
The optionnal suffix to access bucket using vhost-style in addition to path-style request.
Note path-style requests are always enabled, whether or not vhost-style is configured.
Configuring vhost-style S3 required a wildcard DNS entry, and possibly a wildcard TLS certificate,
but might be required by softwares not supporting path-style requests.
@ -548,65 +301,54 @@ using the hostname `my-bucket.s3.garage.eu`.
### The `[s3_web]` section
## The `[s3_web]` section
Garage allows to publish content of buckets as websites. This section configures the
behaviour of this module.
#### `bind_addr` {#web_bind_addr}
### `bind_addr`
The IP and port on which to bind for accepting HTTP requests to buckets configured
for website access.
This endpoint does not suport TLS: a reverse proxy should be used to provide it.
Alternatively, since `v0.8.5`, a path can be used to create a unix socket with 0222 mode.
### `root_domain`
#### `root_domain` {#web_root_domain}
The optional suffix appended to bucket names for the corresponding HTTP Host.
The optionnal suffix appended to bucket names for the corresponding HTTP Host.
For instance, if `root_domain` is `web.garage.eu`, a bucket called `deuxfleurs.fr`
will be accessible either with hostname `deuxfleurs.fr.web.garage.eu`
or with hostname `deuxfleurs.fr`.
### The `[admin]` section
## The `[admin]` section
Garage has a few administration capabilities, in particular to allow remote monitoring. These features are detailed below.
#### `api_bind_addr` {#admin_api_bind_addr}
### `api_bind_addr`
If specified, Garage will bind an HTTP server to this port and address, on
which it will listen to requests for administration features.
See [administration API reference](@/documentation/reference-manual/admin-api.md) to learn more about these features.
Alternatively, since `v0.8.5`, a path can be used to create a unix socket. Note that for security reasons,
the socket will have 0220 mode. Make sure to set user and group permissions accordingly.
### `metrics_token` (since version 0.7.2)
#### `metrics_token`, `metrics_token_file` or `GARAGE_METRICS_TOKEN` (env) {#admin_metrics_token}
The token for accessing the Metrics endpoint. If this token is not set, the
Metrics endpoint can be accessed without access control.
The token for accessing the Metrics endpoint. If this token is not set in
the config file, the Metrics endpoint can be accessed without access
control.
You can use any random string for this value. We recommend generating a random token with `openssl rand -hex 32`.
`metrics_token` was introduced in Garage `v0.7.2`.
`metrics_token_file` and the `GARAGE_METRICS_TOKEN` environment variable are supported since Garage `v0.8.2`.
#### `admin_token`, `admin_token_file` or `GARAGE_ADMIN_TOKEN` (env) {#admin_token}
### `admin_token` (since version 0.7.2)
The token for accessing all of the other administration endpoints. If this
token is not set, access to these endpoints is disabled entirely.
token is not set in the config file, access to these endpoints is disabled
entirely.
You can use any random string for this value. We recommend generating a random token with `openssl rand -hex 32`.
`admin_token` was introduced in Garage `v0.7.2`.
`admin_token_file` and the `GARAGE_ADMIN_TOKEN` environment variable are supported since Garage `v0.8.2`.
### `trace_sink`
#### `trace_sink` {#admin_trace_sink}
Optionally, the address of an OpenTelemetry collector. If specified,
Garage will send traces in the OpenTelemetry format to this endpoint. These
Optionnally, the address of an Opentelemetry collector. If specified,
Garage will send traces in the Opentelemetry format to this endpoint. These
trace allow to inspect Garage's operation when it handles S3 API requests.

View File

@ -35,7 +35,7 @@ This makes setting up and administering storage clusters, we hope, as easy as it
A Garage cluster can very easily evolve over time, as storage nodes are added or removed.
Garage will automatically rebalance data between nodes as needed to ensure the desired number of copies.
Read about cluster layout management [here](@/documentation/operations/layout.md).
Read about cluster layout management [here](@/documentation/reference-manual/layout.md).
### No RAFT slowing you down
@ -52,7 +52,7 @@ This is particularly usefull when nodes are far from one another and talk to one
Garage supports a variety of replication modes, with 1 copy, 2 copies or 3 copies of your data,
and with various levels of consistency, in order to adapt to a variety of usage scenarios.
Read our reference page on [supported replication modes](@/documentation/reference-manual/configuration.md#replication_mode)
Read our reference page on [supported replication modes](@/documentation/reference-manual/configuration.md#replication-mode)
to select the replication mode best suited to your use case (hint: in most cases, `replication_mode = "3"` is what you want).
### Web server for static websites
@ -83,7 +83,7 @@ This feature is totally invisible to S3 clients and does not break compatibility
### Cluster administration API
Garage provides a fully-fledged REST API to administer your cluster programatically.
Functionality included in the admin API include: setting up and monitoring
Functionnality included in the admin API include: setting up and monitoring
cluster nodes, managing access credentials, and managing storage buckets and bucket aliases.
A full reference of the administration API is available [here](@/documentation/reference-manual/admin-api.md).
@ -106,7 +106,7 @@ to be manually connected to one another.
### Support for changing IP addresses
As long as all of your nodes don't change their IP address at the same time,
As long as all of your nodes don't thange their IP address at the same time,
Garage should be able to tolerate nodes with changing/dynamic IP addresses,
as nodes will regularly exchange the IP addresses of their peers and try to
reconnect using newer addresses when existing connections are broken.

View File

@ -1,9 +1,9 @@
+++
title = "K2V"
weight = 100
weight = 70
+++
Starting with version 0.7.2, Garage introduces an optional feature, K2V,
Starting with version 0.7.2, Garage introduces an optionnal feature, K2V,
which is an alternative storage API designed to help efficiently store
many small values in buckets (in opposition to S3 which is more designed
to store large blobs).
@ -16,7 +16,7 @@ the `k2v` feature flag enabled can be obtained from our download page under
with `-k2v` (example: `v0.7.2-k2v`).
The specification of the K2V API can be found
[here](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/branch/main/doc/drafts/k2v-spec.md).
[here](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/branch/k2v/doc/drafts/k2v-spec.md).
This document also includes a high-level overview of K2V's design.
The K2V API uses AWSv4 signatures for authentification, same as the S3 API.

View File

@ -0,0 +1,77 @@
+++
title = "Cluster layout management"
weight = 50
+++
The cluster layout in Garage is a table that assigns to each node a role in
the cluster. The role of a node in Garage can either be a storage node with
a certain capacity, or a gateway node that does not store data and is only
used as an API entry point for faster cluster access.
An introduction to building cluster layouts can be found in the [production deployment](@/documentation/cookbook/real-world.md) page.
## How cluster layouts work in Garage
In Garage, a cluster layout is composed of the following components:
- a table of roles assigned to nodes
- a version number
Garage nodes will always use the cluster layout with the highest version number.
Garage nodes also maintain and synchronize between them a set of proposed role
changes that haven't yet been applied. These changes will be applied (or
canceled) in the next version of the layout
The following commands insert modifications to the set of proposed role changes
for the next layout version (but they do not create the new layout immediately):
```bash
garage layout assign [...]
garage layout remove [...]
```
The following command can be used to inspect the layout that is currently set in the cluster
and the changes proposed for the next layout version, if any:
```bash
garage layout show
```
The following commands create a new layout with the specified version number,
that either takes into account the proposed changes or cancels them:
```bash
garage layout apply --version <new_version_number>
garage layout revert --version <new_version_number>
```
The version number of the new layout to create must be 1 + the version number
of the previous layout that existed in the cluster. The `apply` and `revert`
commands will fail otherwise.
## Warnings about Garage cluster layout management
**Warning: never make several calls to `garage layout apply` or `garage layout
revert` with the same value of the `--version` flag. Doing so can lead to the
creation of several different layouts with the same version number, in which
case your Garage cluster will become inconsistent until fixed.** If a call to
`garage layout apply` or `garage layout revert` has failed and `garage layout
show` indicates that a new layout with the given version number has not been
set in the cluster, then it is fine to call the command again with the same
version number.
If you are using the `garage` CLI by typing individual commands in your
shell, you shouldn't have much issues as long as you run commands one after
the other and take care of checking the output of `garage layout show`
before applying any changes.
If you are using the `garage` CLI to script layout changes, follow the following recommendations:
- Make all of your `garage` CLI calls to the same RPC host. Do not use the
`garage` CLI to connect to individual nodes to send them each a piece of the
layout changes you are making, as the changes propagate asynchronously
between nodes and might not all be taken into account at the time when the
new layout is applied.
- **Only call `garage layout apply` once**, and call it **strictly after** all
of the `layout assign` and `layout remove` commands have returned.

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@ -1,285 +0,0 @@
+++
title = "Monitoring"
weight = 60
+++
For information on setting up monitoring, see our [dedicated page](@/documentation/cookbook/monitoring.md) in the Cookbook section.
## List of exported metrics
### Garage system metrics
#### `garage_build_info` (counter)
Exposes the Garage version number running on a node.
```
garage_build_info{version="1.0"} 1
```
#### `garage_replication_factor` (counter)
Exposes the Garage replication factor configured on the node
```
garage_replication_factor 3
```
### Metrics of the API endpoints
#### `api_admin_request_counter` (counter)
Counts the number of requests to a given endpoint of the administration API. Example:
```
api_admin_request_counter{api_endpoint="Metrics"} 127041
```
#### `api_admin_request_duration` (histogram)
Evaluates the duration of API calls to the various administration API endpoint. Example:
```
api_admin_request_duration_bucket{api_endpoint="Metrics",le="0.5"} 127041
api_admin_request_duration_sum{api_endpoint="Metrics"} 605.250344830999
api_admin_request_duration_count{api_endpoint="Metrics"} 127041
```
#### `api_s3_request_counter` (counter)
Counts the number of requests to a given endpoint of the S3 API. Example:
```
api_s3_request_counter{api_endpoint="CreateMultipartUpload"} 1
```
#### `api_s3_error_counter` (counter)
Counts the number of requests to a given endpoint of the S3 API that returned an error. Example:
```
api_s3_error_counter{api_endpoint="GetObject",status_code="404"} 39
```
#### `api_s3_request_duration` (histogram)
Evaluates the duration of API calls to the various S3 API endpoints. Example:
```
api_s3_request_duration_bucket{api_endpoint="CreateMultipartUpload",le="0.5"} 1
api_s3_request_duration_sum{api_endpoint="CreateMultipartUpload"} 0.046340762
api_s3_request_duration_count{api_endpoint="CreateMultipartUpload"} 1
```
#### `api_k2v_request_counter` (counter), `api_k2v_error_counter` (counter), `api_k2v_error_duration` (histogram)
Same as for S3, for the K2V API.
### Metrics of the Web endpoint
#### `web_request_counter` (counter)
Number of requests to the web endpoint
```
web_request_counter{method="GET"} 80
```
#### `web_request_duration` (histogram)
Duration of requests to the web endpoint
```
web_request_duration_bucket{method="GET",le="0.5"} 80
web_request_duration_sum{method="GET"} 1.0528433229999998
web_request_duration_count{method="GET"} 80
```
#### `web_error_counter` (counter)
Number of requests to the web endpoint resulting in errors
```
web_error_counter{method="GET",status_code="404 Not Found"} 64
```
### Metrics of the data block manager
#### `block_bytes_read`, `block_bytes_written` (counter)
Number of bytes read/written to/from disk in the data storage directory.
```
block_bytes_read 120586322022
block_bytes_written 3386618077
```
#### `block_compression_level` (counter)
Exposes the block compression level configured for the Garage node.
```
block_compression_level 3
```
#### `block_read_duration`, `block_write_duration` (histograms)
Evaluates the duration of the reading/writing of individual data blocks in the data storage directory.
```
block_read_duration_bucket{le="0.5"} 169229
block_read_duration_sum 2761.6902550310056
block_read_duration_count 169240
block_write_duration_bucket{le="0.5"} 3559
block_write_duration_sum 195.59170078500006
block_write_duration_count 3571
```
#### `block_delete_counter` (counter)
Counts the number of data blocks that have been deleted from storage.
```
block_delete_counter 122
```
#### `block_resync_counter` (counter), `block_resync_duration` (histogram)
Counts the number of resync operations the node has executed, and evaluates their duration.
```
block_resync_counter 308897
block_resync_duration_bucket{le="0.5"} 308892
block_resync_duration_sum 139.64204196100016
block_resync_duration_count 308897
```
#### `block_resync_queue_length` (gauge)
The number of block hashes currently queued for a resync.
This is normal to be nonzero for long periods of time.
```
block_resync_queue_length 0
```
#### `block_resync_errored_blocks` (gauge)
The number of block hashes that we were unable to resync last time we tried.
**THIS SHOULD BE ZERO, OR FALL BACK TO ZERO RAPIDLY, IN A HEALTHY CLUSTER.**
Persistent nonzero values indicate that some data is likely to be lost.
```
block_resync_errored_blocks 0
```
### Metrics related to RPCs (remote procedure calls) between nodes
#### `rpc_netapp_request_counter` (counter)
Number of RPC requests emitted
```
rpc_request_counter{from="<this node>",rpc_endpoint="garage_block/manager.rs/Rpc",to="<remote node>"} 176
```
#### `rpc_netapp_error_counter` (counter)
Number of communication errors (errors in the Netapp library, generally due to disconnected nodes)
```
rpc_netapp_error_counter{from="<this node>",rpc_endpoint="garage_block/manager.rs/Rpc",to="<remote node>"} 354
```
#### `rpc_timeout_counter` (counter)
Number of RPC timeouts, should be close to zero in a healthy cluster.
```
rpc_timeout_counter{from="<this node>",rpc_endpoint="garage_rpc/membership.rs/SystemRpc",to="<remote node>"} 1
```
#### `rpc_duration` (histogram)
The duration of internal RPC calls between Garage nodes.
```
rpc_duration_bucket{from="<this node>",rpc_endpoint="garage_block/manager.rs/Rpc",to="<remote node>",le="0.5"} 166
rpc_duration_sum{from="<this node>",rpc_endpoint="garage_block/manager.rs/Rpc",to="<remote node>"} 35.172253716
rpc_duration_count{from="<this node>",rpc_endpoint="garage_block/manager.rs/Rpc",to="<remote node>"} 174
```
### Metrics of the metadata table manager
#### `table_gc_todo_queue_length` (gauge)
Table garbage collector TODO queue length
```
table_gc_todo_queue_length{table_name="block_ref"} 0
```
#### `table_get_request_counter` (counter), `table_get_request_duration` (histogram)
Number of get/get_range requests internally made on each table, and their duration.
```
table_get_request_counter{table_name="bucket_alias"} 315
table_get_request_duration_bucket{table_name="bucket_alias",le="0.5"} 315
table_get_request_duration_sum{table_name="bucket_alias"} 0.048509778000000024
table_get_request_duration_count{table_name="bucket_alias"} 315
```
#### `table_put_request_counter` (counter), `table_put_request_duration` (histogram)
Number of insert/insert_many requests internally made on this table, and their duration
```
table_put_request_counter{table_name="block_ref"} 677
table_put_request_duration_bucket{table_name="block_ref",le="0.5"} 677
table_put_request_duration_sum{table_name="block_ref"} 61.617528636
table_put_request_duration_count{table_name="block_ref"} 677
```
#### `table_internal_delete_counter` (counter)
Number of value deletions in the tree (due to GC or repartitioning)
```
table_internal_delete_counter{table_name="block_ref"} 2296
```
#### `table_internal_update_counter` (counter)
Number of value updates where the value actually changes (includes creation of new key and update of existing key)
```
table_internal_update_counter{table_name="block_ref"} 5996
```
#### `table_merkle_updater_todo_queue_length` (gauge)
Merkle tree updater TODO queue length (should fall to zero rapidly)
```
table_merkle_updater_todo_queue_length{table_name="block_ref"} 0
```
#### `table_sync_items_received`, `table_sync_items_sent` (counters)
Number of data items sent to/recieved from other nodes during resync procedures
```
table_sync_items_received{from="<remote node>",table_name="bucket_v2"} 3
table_sync_items_sent{table_name="block_ref",to="<remote node>"} 2
```

View File

@ -1,6 +1,6 @@
+++
title = "S3 Compatibility status"
weight = 70
weight = 40
+++
## DISCLAIMER
@ -75,13 +75,16 @@ but these endpoints are documented in [Red Hat Ceph Storage - Chapter 2. Ceph Ob
| Endpoint | Garage | [Openstack Swift](https://docs.openstack.org/swift/latest/s3_compat.html) | [Ceph Object Gateway](https://docs.ceph.com/en/latest/radosgw/s3/) | [Riak CS](https://docs.riak.com/riak/cs/2.1.1/references/apis/storage/s3/index.html) | [OpenIO](https://docs.openio.io/latest/source/arch-design/s3_compliancy.html) |
|------------------------------|----------------------------------|-----------------|---------------|---------|-----|
| [AbortMultipartUpload](https://docs.aws.amazon.com/AmazonS3/latest/API/API_AbortMultipartUpload.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [CompleteMultipartUpload](https://docs.aws.amazon.com/AmazonS3/latest/API/API_CompleteMultipartUpload.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [CreateMultipartUpload](https://docs.aws.amazon.com/AmazonS3/latest/API/API_CreateMultipartUpload.html) | ✅ Implemented | ✅| ✅ | ✅ | ✅ |
| [ListMultipartUpload](https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListMultipartUpload.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [ListParts](https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListParts.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [UploadPart](https://docs.aws.amazon.com/AmazonS3/latest/API/API_UploadPart.html) | ✅ Implemented | ✅ | ✅| ✅ | ✅ |
| [UploadPartCopy](https://docs.aws.amazon.com/AmazonS3/latest/API/API_UploadPartCopy.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [AbortMultipartUpload](https://docs.aws.amazon.com/AmazonS3/latest/API/API_AbortMultipartUpload.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [CompleteMultipartUpload](https://docs.aws.amazon.com/AmazonS3/latest/API/API_CompleteMultipartUpload.html) | ✅ Implemented (see details below) | ✅ | ✅ | ✅ | ✅ |
| [CreateMultipartUpload](https://docs.aws.amazon.com/AmazonS3/latest/API/API_CreateMultipartUpload.html) | ✅ Implemented | ✅| ✅ | ✅ | ✅ |
| [ListMultipartUpload](https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListMultipartUpload.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [ListParts](https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListParts.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [UploadPart](https://docs.aws.amazon.com/AmazonS3/latest/API/API_UploadPart.html) | ✅ Implemented (see details below) | ✅ | ✅| ✅ | ✅ |
| [UploadPartCopy](https://docs.aws.amazon.com/AmazonS3/latest/API/API_UploadPartCopy.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
Our implementation of Multipart Upload is currently a bit more restrictive than Amazon's one in some edge cases.
For more information, please refer to our [issue tracker](https://git.deuxfleurs.fr/Deuxfleurs/garage/issues/204).
### Website endpoints
@ -124,22 +127,15 @@ If you need this feature, please [share your use case in our dedicated issue](ht
| Endpoint | Garage | [Openstack Swift](https://docs.openstack.org/swift/latest/s3_compat.html) | [Ceph Object Gateway](https://docs.ceph.com/en/latest/radosgw/s3/) | [Riak CS](https://docs.riak.com/riak/cs/2.1.1/references/apis/storage/s3/index.html) | [OpenIO](https://docs.openio.io/latest/source/arch-design/s3_compliancy.html) |
|------------------------------|----------------------------------|-----------------|---------------|---------|-----|
| [DeleteBucketLifecycle](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteBucketLifecycle.html) | ✅ Implemented | ❌| ✅| ❌| ✅|
| [GetBucketLifecycleConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketLifecycleConfiguration.html) | ✅ Implemented | ❌| ✅ | ❌| ✅|
| [PutBucketLifecycleConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketLifecycleConfiguration.html) | ⚠ Partially implemented (see below) | ❌| ✅ | ❌| ✅|
| [DeleteBucketLifecycle](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteBucketLifecycle.html) | ❌ Missing | ❌| ✅| ❌| ✅|
| [GetBucketLifecycleConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketLifecycleConfiguration.html) | ❌ Missing | ❌| ✅ | ❌| ✅|
| [PutBucketLifecycleConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketLifecycleConfiguration.html) | ❌ Missing | ❌| ✅ | ❌| ✅|
| [GetBucketVersioning](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketVersioning.html) | ❌ Stub (see below) | ✅| ✅ | ❌| ✅|
| [ListObjectVersions](https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListObjectVersions.html) | ❌ Missing | ❌| ✅ | ❌| ✅|
| [PutBucketVersioning](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketVersioning.html) | ❌ Missing | ❌| ✅| ❌| ✅|
**PutBucketLifecycleConfiguration:** The only actions supported are
`AbortIncompleteMultipartUpload` and `Expiration` (without the
`ExpiredObjectDeleteMarker` field). All other operations are dependent on
either bucket versionning or storage classes which Garage currently does not
implement. The deprecated `Prefix` member directly in the the `Rule`
structure/XML tag is not supported, specified prefixes must be inside the
`Filter` structure/XML tag.
**GetBucketVersioning:** Stub implementation which always returns "versionning not enabled", since Garage does not yet support bucket versionning.
**GetBucketVersioning:** Stub implementation (Garage does not yet support versionning so this always returns "versionning not enabled").
### Replication endpoints

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@ -1,6 +1,6 @@
+++
title = "Working Documents"
weight = 90
weight = 7
sort_by = "weight"
template = "documentation.html"
+++

View File

@ -1,6 +1,6 @@
+++
title = "Design draft (obsolete)"
weight = 900
weight = 50
+++
**WARNING: this documentation is a design draft which was written before Garage's actual implementation.

View File

@ -1,6 +1,6 @@
+++
title = "Load balancing data (obsolete)"
weight = 910
weight = 60
+++
**This is being yet improved in release 0.5. The working document has not been updated yet, it still only applies to Garage 0.2 through 0.4.**

View File

@ -16,7 +16,7 @@ The migration steps are as follows:
1. Do `garage repair --all-nodes --yes tables` and `garage repair --all-nodes --yes blocks`,
check the logs and check that all data seems to be synced correctly between
nodes. If you have time, do additional checks (`scrub`, `block_refs`, etc.)
2. Disable API and web access. Garage does not support disabling
2. Disable api and web access. Garage does not support disabling
these endpoints but you can change the port number or stop your reverse
proxy for instance.
3. Check once again that your cluster is healty. Run again `garage repair --all-nodes --yes tables` which is quick.

View File

@ -1,57 +0,0 @@
+++
title = "Migrating from 0.7 to 0.8"
weight = 13
+++
**This guide explains how to migrate to 0.8 if you have an existing 0.7 cluster.
We don't recommend trying to migrate to 0.8 directly from 0.6 or older.**
**We make no guarantee that this migration will work perfectly:
back up all your data before attempting it!**
Garage v0.8 introduces new data tables that allow the counting of objects in buckets in order to implement bucket quotas.
A manual migration step is required to first count objects in Garage buckets and populate these tables with accurate data.
## Simple migration procedure (takes cluster offline for a while)
The migration steps are as follows:
1. Disable API and web access. Garage v0.7 does not support disabling
these endpoints but you can change the port number or stop your reverse proxy for instance.
2. Do `garage repair --all-nodes --yes tables` and `garage repair --all-nodes --yes blocks`,
check the logs and check that all data seems to be synced correctly between
nodes. If you have time, do additional checks (`versions`, `block_refs`, etc.)
3. Check that queues are empty: run `garage stats` to query them or inspect metrics in the Grafana dashboard.
4. Turn off Garage v0.7
5. **Backup the metadata folder of all your nodes!** For instance, use the following command
if your metadata directory is `/var/lib/garage/meta`: `cd /var/lib/garage ; tar -acf meta-v0.7.tar.zst meta/`
6. Install Garage v0.8
7. **Before starting Garage v0.8**, run the offline migration step: `garage offline-repair --yes object_counters`.
This can take a while to run, depending on the number of objects stored in your cluster.
8. Turn on Garage v0.8
9. Do `garage repair --all-nodes --yes tables` and `garage repair --all-nodes --yes blocks`.
Wait for a full table sync to run.
10. Your upgraded cluster should be in a working state. Re-enable API and Web
access and check that everything went well.
11. Monitor your cluster in the next hours to see if it works well under your production load, report any issue.
## Minimal downtime migration procedure
The migration to Garage v0.8 can be done with almost no downtime,
by restarting all nodes at once in the new version. The only limitation with this
method is that bucket sizes and item counts will not be estimated correctly
until all nodes have had a chance to run their offline migration procedure.
The migration steps are as follows:
1. Do `garage repair --all-nodes --yes tables` and `garage repair --all-nodes --yes blocks`,
check the logs and check that all data seems to be synced correctly between
nodes. If you have time, do additional checks (`versions`, `block_refs`, etc.)
2. Turn off each node individually; back up its metadata folder (see above); turn it back on again. This will allow you to take a backup of all nodes without impacting global cluster availability. You can do all nodes of a single zone at once as this does not impact the availability of Garage.
3. Prepare your binaries and configuration files for Garage v0.8
4. Shut down all v0.7 nodes simultaneously, and restart them all simultaneously in v0.8. Use your favorite deployment tool (Ansible, Kubernetes, Nomad) to achieve this as fast as possible.
5. At this point, Garage will indicate invalid values for the size and number of objects in each bucket (most likely, it will indicate zero). To fix this, take each node offline individually to do the offline migration step: `garage offline-repair --yes object_counters`. Again you can do all nodes of a single zone at once.

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+++
title = "Migrating from 0.8 to 0.9"
weight = 12
+++
**This guide explains how to migrate to 0.9 if you have an existing 0.8 cluster.
We don't recommend trying to migrate to 0.9 directly from 0.7 or older.**
This migration procedure has been tested on several clusters without issues.
However, it is still a *critical procedure* that might cause issues.
**Make sure to back up all your data before attempting it!**
You might also want to read our [general documentation on upgrading Garage](@/documentation/operations/upgrading.md).
The following are **breaking changes** in Garage v0.9 that require your attention when migrating:
- LMDB is now the default metadata db engine and Sled is deprecated. If you were using Sled, make sure to specify `db_engine = "sled"` in your configuration file, or take the time to [convert your database](https://garagehq.deuxfleurs.fr/documentation/reference-manual/configuration/#db-engine-since-v0-8-0).
- Capacity values are now in actual byte units. The translation from the old layout will assign 1 capacity = 1Gb by default, which might be wrong for your cluster. This does not cause any data to be moved around, but you might want to re-assign correct capacity values post-migration.
- Multipart uploads that were started in Garage v0.8 will not be visible in Garage v0.9 and will have to be restarted from scratch.
- Changes to the admin API: some `v0/` endpoints have been replaced by `v1/` counterparts with updated/uniformized syntax. All other endpoints have also moved to `v1/` by default, without syntax changes, but are still available under `v0/` for compatibility.
## Simple migration procedure (takes cluster offline for a while)
The migration steps are as follows:
1. Disable API and web access. You may do this by stopping your reverse proxy or by commenting out
the `api_bind_addr` values in your `config.toml` file and restarting Garage.
2. Do `garage repair --all-nodes --yes tables` and `garage repair --all-nodes --yes blocks`,
check the logs and check that all data seems to be synced correctly between
nodes. If you have time, do additional checks (`versions`, `block_refs`, etc.)
3. Check that the block resync queue and Merkle queue are empty:
run `garage stats -a` to query them or inspect metrics in the Grafana dashboard.
4. Turn off Garage v0.8
5. **Backup the metadata folder of all your nodes!** For instance, use the following command
if your metadata directory is `/var/lib/garage/meta`: `cd /var/lib/garage ; tar -acf meta-v0.8.tar.zst meta/`
6. Install Garage v0.9
7. Update your configuration file if necessary.
8. Turn on Garage v0.9
9. Do `garage repair --all-nodes --yes tables` and `garage repair --all-nodes --yes blocks`.
Wait for a full table sync to run.
10. Your upgraded cluster should be in a working state. Re-enable API and Web
access and check that everything went well.
11. Monitor your cluster in the next hours to see if it works well under your production load, report any issue.
12. You might want to assign correct capacity values to all your nodes. Doing so might cause data to be moved
in your cluster, which should also be monitored carefully.
## Minimal downtime migration procedure
The migration to Garage v0.9 can be done with almost no downtime,
by restarting all nodes at once in the new version.
The migration steps are as follows:
1. Do `garage repair --all-nodes --yes tables` and `garage repair --all-nodes --yes blocks`,
check the logs and check that all data seems to be synced correctly between
nodes. If you have time, do additional checks (`versions`, `block_refs`, etc.)
2. Turn off each node individually; back up its metadata folder (see above); turn it back on again.
This will allow you to take a backup of all nodes without impacting global cluster availability.
You can do all nodes of a single zone at once as this does not impact the availability of Garage.
3. Prepare your binaries and configuration files for Garage v0.9
4. Shut down all v0.8 nodes simultaneously, and restart them all simultaneously in v0.9.
Use your favorite deployment tool (Ansible, Kubernetes, Nomad) to achieve this as fast as possible.
Garage v0.9 should be in a working state as soon as it starts.
5. Proceed with repair and monitoring as described in steps 9-12 above.

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+++
title = "Testing strategy"
weight = 30
+++
## Testing Garage
Currently, we have the following tests:
- some unit tests spread around the codebase
- integration tests written in Rust (`src/garage/test`) to check that Garage operations perform correctly
- integration test for compatibility with external tools (`script/test-smoke.sh`)
We have also tried `minio/mint` but it fails a lot and for now we haven't gotten a lot from it.
In the future:
1. We'd like to have a systematic way of testing with `minio/mint`,
it would add value to Garage by providing a compatibility score and reference that can be trusted.
2. We'd also like to do testing with Jepsen in some way.
## How to instrument Garagae
We should try to test in least invasive ways, i.e. minimize the impact of the testing framework on Garage's source code. This means for example:
- Not abstracting IO/nondeterminism in the source code
- Not making `garage` a shared library (launch using `execve`, it's perfectly fine)
Instead, we should focus on building a clean outer interface for the `garage` binary,
for example loading configuration using environnement variables instead of the configuration file if that's helpfull for writing the tests.
There are two reasons for this:
- Keep the soure code clean and focused
- Test something that is as close as possible as the true garage that will actually be running
Reminder: rules of simplicity, concerning changes to Garage's source code.
Always question what we are doing.
Never do anything just because it looks nice or because we "think" it might be usefull at some later point but without knowing precisely why/when.
Only do things that make perfect sense in the context of what we currently know.
## References
Testing is a research field on its own.
About testing distributed systems:
- [Jepsen](https://jepsen.io/) is a testing framework designed to test distributed systems. It can mock some part of the system like the time and the network.
- [FoundationDB Testing Approach](https://www.micahlerner.com/2021/06/12/foundationdb-a-distributed-unbundled-transactional-key-value-store.html#what-is-unique-about-foundationdbs-testing-framework). They chose to abstract "all sources of nondeterminism and communication are abstracted, including network, disk, time, and pseudo random number generator" to be able to run tests by simulating faults.
- [Testing Distributed Systems](https://asatarin.github.io/testing-distributed-systems/) - Curated list of resources on testing distributed systems
About S3 compatibility:
- [ceph/s3-tests](https://github.com/ceph/s3-tests)
- (deprecated) [minio/s3verify](https://blog.min.io/s3verify-a-simple-tool-to-verify-aws-s3-api-compatibility/)
- [minio/mint](https://github.com/minio/mint)
About benchmarking S3 (I think it is not necessarily very relevant for this iteration):
- [minio/warp](https://github.com/minio/warp)
- [wasabi-tech/s3-benchmark](https://github.com/wasabi-tech/s3-benchmark)
- [dvassallo/s3-benchmark](https://github.com/dvassallo/s3-benchmark)
- [intel-cloud/cosbench](https://github.com/intel-cloud/cosbench) - used by Ceph
Engineering blog posts:
- [Quincy @ Scale: A Tale of Three Large-Scale Clusters](https://ceph.io/en/news/blog/2022/three-large-scale-clusters/)
Interesting blog posts on the blog of the Sled database:
- <https://sled.rs/simulation.html>
- <https://sled.rs/perf.html>
Misc:
- [mutagen](https://github.com/llogiq/mutagen) - mutation testing is a way to assert our test quality by mutating the code and see if the mutation makes the tests fail
- [fuzzing](https://rust-fuzz.github.io/book/) - cargo supports fuzzing, it could be a way to test our software reliability in presence of garbage data.

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@ -1,752 +0,0 @@
+++
title = "Administration API"
weight = 60
+++
The Garage administration API is accessible through a dedicated server whose
listen address is specified in the `[admin]` section of the configuration
file (see [configuration file
reference](@/documentation/reference-manual/configuration.md))
**WARNING.** At this point, there is no comittement to stability of the APIs described in this document.
We will bump the version numbers prefixed to each API endpoint at each time the syntax
or semantics change, meaning that code that relies on these endpoint will break
when changes are introduced.
The Garage administration API was introduced in version 0.7.2, this document
does not apply to older versions of Garage.
## Access control
The admin API uses two different tokens for acces control, that are specified in the config file's `[admin]` section:
- `metrics_token`: the token for accessing the Metrics endpoint (if this token
is not set in the config file, the Metrics endpoint can be accessed without
access control);
- `admin_token`: the token for accessing all of the other administration
endpoints (if this token is not set in the config file, access to these
endpoints is disabled entirely).
These tokens are used as simple HTTP bearer tokens. In other words, to
authenticate access to an admin API endpoint, add the following HTTP header
to your request:
```
Authorization: Bearer <token>
```
## Administration API endpoints
### Metrics-related endpoints
#### Metrics `GET /metrics`
Returns internal Garage metrics in Prometheus format.
#### Health `GET /health`
Used for simple health checks in a cluster setting with an orchestrator.
Returns an HTTP status 200 if the node is ready to answer user's requests,
and an HTTP status 503 (Service Unavailable) if there are some partitions
for which a quorum of nodes is not available.
A simple textual message is also returned in a body with content-type `text/plain`.
See `/v1/health` for an API that also returns JSON output.
### Cluster operations
#### GetClusterStatus `GET /v1/status`
Returns the cluster's current status in JSON, including:
- ID of the node being queried and its version of the Garage daemon
- Live nodes
- Currently configured cluster layout
- Staged changes to the cluster layout
Example response body:
```json
{
"node": "ec79480e0ce52ae26fd00c9da684e4fa56658d9c64cdcecb094e936de0bfe71f",
"garageVersion": "git:v0.9.0-dev",
"garageFeatures": [
"k2v",
"sled",
"lmdb",
"sqlite",
"metrics",
"bundled-libs"
],
"rustVersion": "1.68.0",
"dbEngine": "LMDB (using Heed crate)",
"knownNodes": [
{
"id": "ec79480e0ce52ae26fd00c9da684e4fa56658d9c64cdcecb094e936de0bfe71f",
"addr": "10.0.0.11:3901",
"isUp": true,
"lastSeenSecsAgo": 9,
"hostname": "node1"
},
{
"id": "4a6ae5a1d0d33bf895f5bb4f0a418b7dc94c47c0dd2eb108d1158f3c8f60b0ff",
"addr": "10.0.0.12:3901",
"isUp": true,
"lastSeenSecsAgo": 1,
"hostname": "node2"
},
{
"id": "23ffd0cdd375ebff573b20cc5cef38996b51c1a7d6dbcf2c6e619876e507cf27",
"addr": "10.0.0.21:3901",
"isUp": true,
"lastSeenSecsAgo": 7,
"hostname": "node3"
},
{
"id": "e2ee7984ee65b260682086ec70026165903c86e601a4a5a501c1900afe28d84b",
"addr": "10.0.0.22:3901",
"isUp": true,
"lastSeenSecsAgo": 1,
"hostname": "node4"
}
],
"layout": {
"version": 12,
"roles": [
{
"id": "ec79480e0ce52ae26fd00c9da684e4fa56658d9c64cdcecb094e936de0bfe71f",
"zone": "dc1",
"capacity": 10737418240,
"tags": [
"node1"
]
},
{
"id": "4a6ae5a1d0d33bf895f5bb4f0a418b7dc94c47c0dd2eb108d1158f3c8f60b0ff",
"zone": "dc1",
"capacity": 10737418240,
"tags": [
"node2"
]
},
{
"id": "23ffd0cdd375ebff573b20cc5cef38996b51c1a7d6dbcf2c6e619876e507cf27",
"zone": "dc2",
"capacity": 10737418240,
"tags": [
"node3"
]
}
],
"stagedRoleChanges": [
{
"id": "e2ee7984ee65b260682086ec70026165903c86e601a4a5a501c1900afe28d84b",
"remove": false,
"zone": "dc2",
"capacity": 10737418240,
"tags": [
"node4"
]
}
{
"id": "23ffd0cdd375ebff573b20cc5cef38996b51c1a7d6dbcf2c6e619876e507cf27",
"remove": true,
"zone": null,
"capacity": null,
"tags": null,
}
]
}
}
```
#### GetClusterHealth `GET /v1/health`
Returns the cluster's current health in JSON format, with the following variables:
- `status`: one of `healthy`, `degraded` or `unavailable`:
- healthy: Garage node is connected to all storage nodes
- degraded: Garage node is not connected to all storage nodes, but a quorum of write nodes is available for all partitions
- unavailable: a quorum of write nodes is not available for some partitions
- `knownNodes`: the number of nodes this Garage node has had a TCP connection to since the daemon started
- `connectedNodes`: the nubmer of nodes this Garage node currently has an open connection to
- `storageNodes`: the number of storage nodes currently registered in the cluster layout
- `storageNodesOk`: the number of storage nodes to which a connection is currently open
- `partitions`: the total number of partitions of the data (currently always 256)
- `partitionsQuorum`: the number of partitions for which a quorum of write nodes is available
- `partitionsAllOk`: the number of partitions for which we are connected to all storage nodes responsible of storing it
Contrarily to `GET /health`, this endpoint always returns a 200 OK HTTP response code.
Example response body:
```json
{
"status": "degraded",
"knownNodes": 3,
"connectedNodes": 3,
"storageNodes": 4,
"storageNodesOk": 3,
"partitions": 256,
"partitionsQuorum": 256,
"partitionsAllOk": 64
}
```
#### ConnectClusterNodes `POST /v1/connect`
Instructs this Garage node to connect to other Garage nodes at specified addresses.
Example request body:
```json
[
"ec79480e0ce52ae26fd00c9da684e4fa56658d9c64cdcecb094e936de0bfe71f@10.0.0.11:3901",
"4a6ae5a1d0d33bf895f5bb4f0a418b7dc94c47c0dd2eb108d1158f3c8f60b0ff@10.0.0.12:3901"
]
```
The format of the string for a node to connect to is: `<node ID>@<ip address>:<port>`, same as in the `garage node connect` CLI call.
Example response:
```json
[
{
"success": true,
"error": null
},
{
"success": false,
"error": "Handshake error"
}
]
```
#### GetClusterLayout `GET /v1/layout`
Returns the cluster's current layout in JSON, including:
- Currently configured cluster layout
- Staged changes to the cluster layout
(the info returned by this endpoint is a subset of the info returned by GetClusterStatus)
Example response body:
```json
{
"version": 12,
"roles": [
{
"id": "ec79480e0ce52ae26fd00c9da684e4fa56658d9c64cdcecb094e936de0bfe71f",
"zone": "dc1",
"capacity": 10737418240,
"tags": [
"node1"
]
},
{
"id": "4a6ae5a1d0d33bf895f5bb4f0a418b7dc94c47c0dd2eb108d1158f3c8f60b0ff",
"zone": "dc1",
"capacity": 10737418240,
"tags": [
"node2"
]
},
{
"id": "23ffd0cdd375ebff573b20cc5cef38996b51c1a7d6dbcf2c6e619876e507cf27",
"zone": "dc2",
"capacity": 10737418240,
"tags": [
"node3"
]
}
],
"stagedRoleChanges": [
{
"id": "e2ee7984ee65b260682086ec70026165903c86e601a4a5a501c1900afe28d84b",
"remove": false,
"zone": "dc2",
"capacity": 10737418240,
"tags": [
"node4"
]
}
{
"id": "23ffd0cdd375ebff573b20cc5cef38996b51c1a7d6dbcf2c6e619876e507cf27",
"remove": true,
"zone": null,
"capacity": null,
"tags": null,
}
]
}
```
#### UpdateClusterLayout `POST /v1/layout`
Send modifications to the cluster layout. These modifications will
be included in the staged role changes, visible in subsequent calls
of `GetClusterLayout`. Once the set of staged changes is satisfactory,
the user may call `ApplyClusterLayout` to apply the changed changes,
or `Revert ClusterLayout` to clear all of the staged changes in
the layout.
Request body format:
```json
[
{
"id": <node_id>,
"capacity": <new_capacity>,
"zone": <new_zone>,
"tags": [
<new_tag>,
...
]
},
{
"id": <node_id_to_remove>,
"remove": true
}
]
```
Contrary to the CLI that may update only a subset of the fields
`capacity`, `zone` and `tags`, when calling this API all of these
values must be specified.
This returns the new cluster layout with the proposed staged changes,
as returned by GetClusterLayout.
#### ApplyClusterLayout `POST /v1/layout/apply`
Applies to the cluster the layout changes currently registered as
staged layout changes.
Request body format:
```json
{
"version": 13
}
```
Similarly to the CLI, the body must include the version of the new layout
that will be created, which MUST be 1 + the value of the currently
existing layout in the cluster.
This returns the message describing all the calculations done to compute the new
layout, as well as the description of the layout as returned by GetClusterLayout.
#### RevertClusterLayout `POST /v1/layout/revert`
Clears all of the staged layout changes.
Request body format:
```json
{
"version": 13
}
```
Reverting the staged changes is done by incrementing the version number
and clearing the contents of the staged change list.
Similarly to the CLI, the body must include the incremented
version number, which MUST be 1 + the value of the currently
existing layout in the cluster.
This returns the new cluster layout with all changes reverted,
as returned by GetClusterLayout.
### Access key operations
#### ListKeys `GET /v1/key`
Returns all API access keys in the cluster.
Example response:
```json
[
{
"id": "GK31c2f218a2e44f485b94239e",
"name": "test"
},
{
"id": "GKe10061ac9c2921f09e4c5540",
"name": "test2"
}
]
```
#### GetKeyInfo `GET /v1/key?id=<acces key id>`
#### GetKeyInfo `GET /v1/key?search=<pattern>`
Returns information about the requested API access key.
If `id` is set, the key is looked up using its exact identifier (faster).
If `search` is set, the key is looked up using its name or prefix
of identifier (slower, all keys are enumerated to do this).
Optionnally, the query parameter `showSecretKey=true` can be set to reveal the
associated secret access key.
Example response:
```json
{
"name": "test",
"accessKeyId": "GK31c2f218a2e44f485b94239e",
"secretAccessKey": "b892c0665f0ada8a4755dae98baa3b133590e11dae3bcc1f9d769d67f16c3835",
"permissions": {
"createBucket": false
},
"buckets": [
{
"id": "70dc3bed7fe83a75e46b66e7ddef7d56e65f3c02f9f80b6749fb97eccb5e1033",
"globalAliases": [
"test2"
],
"localAliases": [],
"permissions": {
"read": true,
"write": true,
"owner": false
}
},
{
"id": "d7452a935e663fc1914f3a5515163a6d3724010ce8dfd9e4743ca8be5974f995",
"globalAliases": [
"test3"
],
"localAliases": [],
"permissions": {
"read": true,
"write": true,
"owner": false
}
},
{
"id": "e6a14cd6a27f48684579ec6b381c078ab11697e6bc8513b72b2f5307e25fff9b",
"globalAliases": [],
"localAliases": [
"test"
],
"permissions": {
"read": true,
"write": true,
"owner": true
}
},
{
"id": "96470e0df00ec28807138daf01915cfda2bee8eccc91dea9558c0b4855b5bf95",
"globalAliases": [
"alex"
],
"localAliases": [],
"permissions": {
"read": true,
"write": true,
"owner": true
}
}
]
}
```
#### CreateKey `POST /v1/key`
Creates a new API access key.
Request body format:
```json
{
"name": "NameOfMyKey"
}
```
This returns the key info, including the created secret key,
in the same format as the result of GetKeyInfo.
#### ImportKey `POST /v1/key/import`
Imports an existing API key.
This will check that the imported key is in the valid format, i.e.
is a key that could have been generated by Garage.
Request body format:
```json
{
"accessKeyId": "GK31c2f218a2e44f485b94239e",
"secretAccessKey": "b892c0665f0ada8a4755dae98baa3b133590e11dae3bcc1f9d769d67f16c3835",
"name": "NameOfMyKey"
}
```
This returns the key info in the same format as the result of GetKeyInfo.
#### UpdateKey `POST /v1/key?id=<acces key id>`
Updates information about the specified API access key.
Request body format:
```json
{
"name": "NameOfMyKey",
"allow": {
"createBucket": true,
},
"deny": {}
}
```
All fields (`name`, `allow` and `deny`) are optional.
If they are present, the corresponding modifications are applied to the key, otherwise nothing is changed.
The possible flags in `allow` and `deny` are: `createBucket`.
This returns the key info in the same format as the result of GetKeyInfo.
#### DeleteKey `DELETE /v1/key?id=<acces key id>`
Deletes an API access key.
### Bucket operations
#### ListBuckets `GET /v1/bucket`
Returns all storage buckets in the cluster.
Example response:
```json
[
{
"id": "70dc3bed7fe83a75e46b66e7ddef7d56e65f3c02f9f80b6749fb97eccb5e1033",
"globalAliases": [
"test2"
],
"localAliases": []
},
{
"id": "96470e0df00ec28807138daf01915cfda2bee8eccc91dea9558c0b4855b5bf95",
"globalAliases": [
"alex"
],
"localAliases": []
},
{
"id": "d7452a935e663fc1914f3a5515163a6d3724010ce8dfd9e4743ca8be5974f995",
"globalAliases": [
"test3"
],
"localAliases": []
},
{
"id": "e6a14cd6a27f48684579ec6b381c078ab11697e6bc8513b72b2f5307e25fff9b",
"globalAliases": [],
"localAliases": [
{
"accessKeyId": "GK31c2f218a2e44f485b94239e",
"alias": "test"
}
]
}
]
```
#### GetBucketInfo `GET /v1/bucket?id=<bucket id>`
#### GetBucketInfo `GET /v1/bucket?globalAlias=<alias>`
Returns information about the requested storage bucket.
If `id` is set, the bucket is looked up using its exact identifier.
If `globalAlias` is set, the bucket is looked up using its global alias.
(both are fast)
Example response:
```json
{
"id": "afa8f0a22b40b1247ccd0affb869b0af5cff980924a20e4b5e0720a44deb8d39",
"globalAliases": [],
"websiteAccess": false,
"websiteConfig": null,
"keys": [
{
"accessKeyId": "GK31c2f218a2e44f485b94239e",
"name": "Imported key",
"permissions": {
"read": true,
"write": true,
"owner": true
},
"bucketLocalAliases": [
"debug"
]
}
],
"objects": 14827,
"bytes": 13189855625,
"unfinishedUploads": 1,
"unfinishedMultipartUploads": 1,
"unfinishedMultipartUploadParts": 11,
"unfinishedMultipartUploadBytes": 41943040,
"quotas": {
"maxSize": null,
"maxObjects": null
}
}
```
#### CreateBucket `POST /v1/bucket`
Creates a new storage bucket.
Request body format:
```json
{
"globalAlias": "NameOfMyBucket"
}
```
OR
```json
{
"localAlias": {
"accessKeyId": "GK31c2f218a2e44f485b94239e",
"alias": "NameOfMyBucket",
"allow": {
"read": true,
"write": true,
"owner": false
}
}
}
```
OR
```json
{}
```
Creates a new bucket, either with a global alias, a local one,
or no alias at all.
Technically, you can also specify both `globalAlias` and `localAlias` and that would create
two aliases, but I don't see why you would want to do that.
#### UpdateBucket `PUT /v1/bucket?id=<bucket id>`
Updates configuration of the given bucket.
Request body format:
```json
{
"websiteAccess": {
"enabled": true,
"indexDocument": "index.html",
"errorDocument": "404.html"
},
"quotas": {
"maxSize": 19029801,
"maxObjects": null,
}
}
```
All fields (`websiteAccess` and `quotas`) are optional.
If they are present, the corresponding modifications are applied to the bucket, otherwise nothing is changed.
In `websiteAccess`: if `enabled` is `true`, `indexDocument` must be specified.
The field `errorDocument` is optional, if no error document is set a generic
error message is displayed when errors happen. Conversely, if `enabled` is
`false`, neither `indexDocument` nor `errorDocument` must be specified.
In `quotas`: new values of `maxSize` and `maxObjects` must both be specified, or set to `null`
to remove the quotas. An absent value will be considered the same as a `null`. It is not possible
to change only one of the two quotas.
#### DeleteBucket `DELETE /v1/bucket?id=<bucket id>`
Deletes a storage bucket. A bucket cannot be deleted if it is not empty.
Warning: this will delete all aliases associated with the bucket!
### Operations on permissions for keys on buckets
#### BucketAllowKey `POST /v1/bucket/allow`
Allows a key to do read/write/owner operations on a bucket.
Request body format:
```json
{
"bucketId": "e6a14cd6a27f48684579ec6b381c078ab11697e6bc8513b72b2f5307e25fff9b",
"accessKeyId": "GK31c2f218a2e44f485b94239e",
"permissions": {
"read": true,
"write": true,
"owner": true
},
}
```
Flags in `permissions` which have the value `true` will be activated.
Other flags will remain unchanged.
#### BucketDenyKey `POST /v1/bucket/deny`
Denies a key from doing read/write/owner operations on a bucket.
Request body format:
```json
{
"bucketId": "e6a14cd6a27f48684579ec6b381c078ab11697e6bc8513b72b2f5307e25fff9b",
"accessKeyId": "GK31c2f218a2e44f485b94239e",
"permissions": {
"read": false,
"write": false,
"owner": true
},
}
```
Flags in `permissions` which have the value `true` will be deactivated.
Other flags will remain unchanged.
### Operations on bucket aliases
#### GlobalAliasBucket `PUT /v1/bucket/alias/global?id=<bucket id>&alias=<global alias>`
Empty body. Creates a global alias for a bucket.
#### GlobalUnaliasBucket `DELETE /v1/bucket/alias/global?id=<bucket id>&alias=<global alias>`
Removes a global alias for a bucket.
#### LocalAliasBucket `PUT /v1/bucket/alias/local?id=<bucket id>&accessKeyId=<access key ID>&alias=<local alias>`
Empty body. Creates a local alias for a bucket in the namespace of a specific access key.
#### LocalUnaliasBucket `DELETE /v1/bucket/alias/local?id=<bucket id>&accessKeyId<access key ID>&alias=<local alias>`
Removes a local alias for a bucket in the namespace of a specific access key.

View File

@ -206,8 +206,8 @@ and responses need to be translated.
Query parameters:
| name | default value | meaning |
|------------|---------------|----------------------------------|
| name | default value | meaning |
| - | - | - |
| `sort_key` | **mandatory** | The sort key of the item to read |
Returns the item with specified partition key and sort key. Values can be
@ -317,11 +317,11 @@ an HTTP 304 NOT MODIFIED is returned.
Query parameters:
| name | default value | meaning |
|-------------------|---------------|----------------------------------------------------------------------------|
| `sort_key` | **mandatory** | The sort key of the item to read |
| `causality_token` | **mandatory** | The causality token of the last known value or set of values |
| `timeout` | 300 | The timeout before 304 NOT MODIFIED is returned if the value isn't updated |
| name | default value | meaning |
| - | - | - |
| `sort_key` | **mandatory** | The sort key of the item to read |
| `causality_token` | **mandatory** | The causality token of the last known value or set of values |
| `timeout` | 300 | The timeout before 304 NOT MODIFIED is returned if the value isn't updated |
The timeout can be set to any number of seconds, with a maximum of 600 seconds (10 minutes).
@ -346,7 +346,7 @@ myblobblahblahblah
Example response:
```
HTTP/1.1 204 No Content
HTTP/1.1 200 OK
```
**DeleteItem: `DELETE /<bucket>/<partition key>?sort_key=<sort_key>`**
@ -382,13 +382,13 @@ as these values are asynchronously updated, and thus eventually consistent.
Query parameters:
| name | default value | meaning |
|-----------|---------------|----------------------------------------------------------------|
| `prefix` | `null` | Restrict listing to partition keys that start with this prefix |
| `start` | `null` | First partition key to list, in lexicographical order |
| `end` | `null` | Last partition key to list (excluded) |
| `limit` | `null` | Maximum number of partition keys to list |
| `reverse` | `false` | Iterate in reverse lexicographical order |
| name | default value | meaning |
| - | - | - |
| `prefix` | `null` | Restrict listing to partition keys that start with this prefix |
| `start` | `null` | First partition key to list, in lexicographical order |
| `end` | `null` | Last partition key to list (excluded) |
| `limit` | `null` | Maximum number of partition keys to list |
| `reverse` | `false` | Iterate in reverse lexicographical order |
The response consists in a JSON object that repeats the parameters of the query and gives the result (see below).
@ -512,7 +512,7 @@ POST /my_bucket HTTP/1.1
Example response:
```
HTTP/1.1 204 NO CONTENT
HTTP/1.1 200 OK
```
@ -525,17 +525,17 @@ The request body is a JSON list of searches, that each specify a range of
items to get (to get single items, set `singleItem` to `true`). A search is a
JSON struct with the following fields:
| name | default value | meaning |
|-----------------|---------------|----------------------------------------------------------------------------------------|
| `partitionKey` | **mandatory** | The partition key in which to search |
| `prefix` | `null` | Restrict items to list to those whose sort keys start with this prefix |
| `start` | `null` | The sort key of the first item to read |
| `end` | `null` | The sort key of the last item to read (excluded) |
| `limit` | `null` | The maximum number of items to return |
| `reverse` | `false` | Iterate in reverse lexicographical order on sort keys |
| `singleItem` | `false` | Whether to return only the item with sort key `start` |
| `conflictsOnly` | `false` | Whether to return only items that have several concurrent values |
| `tombstones` | `false` | Whether or not to return tombstone lines to indicate the presence of old deleted items |
| name | default value | meaning |
| - | - | - |
| `partitionKey` | **mandatory** | The partition key in which to search |
| `prefix` | `null` | Restrict items to list to those whose sort keys start with this prefix |
| `start` | `null` | The sort key of the first item to read |
| `end` | `null` | The sort key of the last item to read (excluded) |
| `limit` | `null` | The maximum number of items to return |
| `reverse` | `false` | Iterate in reverse lexicographical order on sort keys |
| `singleItem` | `false` | Whether to return only the item with sort key `start` |
| `conflictsOnly` | `false` | Whether to return only items that have several concurrent values |
| `tombstones` | `false` | Whether or not to return tombstone lines to indicate the presence of old deleted items |
For each of the searches, triplets are listed and returned separately. The
@ -683,7 +683,7 @@ POST /my_bucket?delete HTTP/1.1
Example response:
```json
```
HTTP/1.1 200 OK
[
@ -706,73 +706,6 @@ HTTP/1.1 200 OK
]
```
**PollRange: `POST /<bucket>/<partition key>?poll_range`**, or alternatively<br/>
**PollRange: `SEARCH /<bucket>/<partition key>?poll_range`**
Polls a range of items for changes.
The query body is a JSON object consisting of the following fields:
| name | default value | meaning |
|-----------------|---------------|----------------------------------------------------------------------------------------|
| `prefix` | `null` | Restrict items to poll to those whose sort keys start with this prefix |
| `start` | `null` | The sort key of the first item to poll |
| `end` | `null` | The sort key of the last item to poll (excluded) |
| `timeout` | 300 | The timeout before 304 NOT MODIFIED is returned if no value in the range is updated |
| `seenMarker` | `null` | An opaque string returned by a previous PollRange call, that represents items already seen |
The timeout can be set to any number of seconds, with a maximum of 600 seconds (10 minutes).
The response is either:
- A HTTP 304 NOT MODIFIED response with an empty body, if the timeout expired and no changes occurred
- A HTTP 200 response, indicating that some changes have occurred since the last PollRange call, in which case a JSON object is returned in the body with the following fields:
| name | meaning |
|-----------------|----------------------------------------------------------------------------------------|
| `seenMarker` | An opaque string that represents items already seen for future PollRange calls |
| `items` | The list of items that have changed since last PollRange call, in the same format as ReadBatch |
If no seen marker is known by the caller, it can do a PollRange call
without specifying `seenMarker`. In this case, the PollRange call will
complete immediately, and return the current content of the range (which
can be empty) and a seen marker to be used in further PollRange calls. This
is the only case in which PollRange might return an HTTP 200 with an empty
set of items.
A seen marker returned as a response to a PollRange query can be used for further PollRange
queries on the same range, or for PollRange queries in a subrange of the initial range.
It may not be used for PollRange queries on ranges larger or outside of the initial range.
Example query:
```json
SEARCH /my_bucket?poll_range HTTP/1.1
{
"prefix": "0391.",
"start": "0391.000001973107",
"seenMarker": "opaquestring123",
}
```
Example response:
```json
HTTP/1.1 200 OK
Content-Type: application/json
{
"seenMarker": "opaquestring456",
"items": [
{ sk: "0391.000001973221", ct: "opaquetoken123", v: ["b64cryptoblob123", "b64cryptoblob'123"] },
{ sk: "0391.000001974191", ct: "opaquetoken456", v: ["b64cryptoblob456", "b64cryptoblob'456"] },
]
}
```
## Internals: causality tokens

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optimal_layout.blg
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\documentclass[]{article}
\usepackage{amsmath,amssymb}
\usepackage{amsthm}
\usepackage{stmaryrd}
\usepackage{graphicx,xcolor}
\usepackage{hyperref}
\usepackage{algorithm,algpseudocode,float}
\renewcommand\thesubsubsection{\Alph{subsubsection})}
\newtheorem{proposition}{Proposition}
%opening
\title{An algorithm for geo-distributed and redundant storage in Garage}
\author{Mendes Oulamara \\ \emph{mendes@deuxfleurs.fr}}
\date{}
\begin{document}
\maketitle
\begin{abstract}
Garage
\end{abstract}
\section{Introduction}
Garage\footnote{\url{https://garagehq.deuxfleurs.fr/}} is an open-source distributed object storage service tailored for self-hosting. It was designed by the Deuxfleurs association\footnote{\url{https://deuxfleurs.fr/}} to enable small structures (associations, collectives, small companies) to share storage resources to reliably self-host their data, possibly with old and non-reliable machines.
To achieve these reliability and availability goals, the data is broken into \emph{partitions} and every partition is replicated over 3 different machines (that we call \emph{nodes}). When the data is queried, a consensus algorithm allows to fetch it from one of the nodes. A \emph{replication factor} of 3 ensures the best guarantees in the consensus algorithm \cite{ADD RREF}, but this parameter can be different.
Moreover, if the nodes are spread over different \emph{zones} (different houses, offices, cities\dots), we can ask the data to be replicated over nodes belonging to different zones, to improve the storage robustness against zone failure (such as power outage). To do so, we set a \emph{redundancy parameter}, that is no more than the replication factor, and we ask that any partition is replicated over this number of zones at least.
In this work, we propose a repartition algorithm that, given the nodes specifications and the replication and redundancy parameters, computes an optimal assignation of partitions to nodes. We say that the assignation is optimal in the sense that it maximizes the size of the partitions, and hence the effective storage capacity of the system.
Moreover, when a former assignation exists, which is not optimal anymore due to nodes or zones updates, our algorithm computes a new optimal assignation that minimizes the amount of data to be transferred during the assignation update (the \emph{transfer load}).
We call the set of nodes cooperating to store the data a \emph{cluster}, and a description of the nodes, zones and the assignation of partitions to nodes a \emph{cluster layout}
\subsection{Notations}
Let $k$ be some fixed parameter value, typically 8, that we call the ``partition bits''.
Every object to be stored in the system is split into data blocks of fixed size. We compute a hash $h(\mathbf{b})$ of every such block $\mathbf{b}$, and we define the $k$ last bits of this hash to be the partition number $p(\mathbf{b})$ of the block. This label can take $P=2^k$ different values, and hence there are $P$ different partitions. We denote $\mathbf{P}$ the set of partition labels (i.e. $\mathbf{P}=\llbracket1,P\rrbracket$).
We are given a set $\mathbf{N}$ of $N$ nodes and a set $\mathbf{Z}$ of $Z$ zones. Every node $n$ has a non-negative storage capacity $c_n\ge 0$ and belongs to a zone $z_n\in \mathbf{Z}$. We are also given a replication parameter $\rho_\mathbf{N}$ and a redundancy parameter $\rho_\mathbf{Z}$ such that $1\le \rho_\mathbf{Z} \le \rho_\mathbf{N}$ (typical values would be $\rho_N=3$ and $\rho_Z=2$).
Our goal is to compute an assignment $\alpha = (\alpha_p^1, \ldots, \alpha_p^{\rho_\mathbf{N}})_{p\in \mathbf{P}}$ such that every partition $p$ is associated to $\rho_\mathbf{N}$ distinct nodes $\alpha_p^1, \ldots, \alpha_p^{\rho_\mathbf{N}} \in \mathbf{N}$ and these nodes belong to at least $\rho_\mathbf{Z}$ distinct zones. Among the possible assignations, we choose one that \emph{maximizes} the effective storage capacity of the cluster. If the layout contained a previous assignment $\alpha'$, we \emph{minimize} the amount of data to transfer during the layout update by making $\alpha$ as close as possible to $\alpha'$. These maximization and minimization are described more formally in the following section.
\subsection{Optimization parameters}
To link the effective storage capacity of the cluster to partition assignment, we make the following assumption:
\begin{equation}
\tag{H1}
\text{\emph{All partitions have the same size $s$.}}
\end{equation}
This assumption is justified by the dispersion of the hashing function, when the number of partitions is small relative to the number of stored blocks.
Every node $n$ wille store some number $p_n$ of partitions (it is the number of partitions $p$ such that $n$ appears in the $\alpha_p$). Hence the partitions stored by $n$ (and hence all partitions by our assumption) have there size bounded by $c_n/p_n$. This remark leads us to define the optimal size that we will want to maximize:
\begin{equation}
\label{eq:optimal}
\tag{OPT}
s^* = \min_{n \in N} \frac{c_n}{p_n}.
\end{equation}
When the capacities of the nodes are updated (this includes adding or removing a node), we want to update the assignment as well. However, transferring the data between nodes has a cost and we would like to limit the number of changes in the assignment. We make the following assumption:
\begin{equation}
\tag{H2}
\text{\emph{Nodes updates happen rarely relatively to block operations.}}
\end{equation}
This assumption justifies that when we compute the new assignment $\alpha$, it is worth to optimize the partition size \eqref{eq:optimal} first, and then, among the possible optimal solution, to try to minimize the number of partition transfers. More formally, we minimize the distance between two assignments defined by
\begin{equation}
d(\alpha, \alpha') := \#\{ (n,p) \in \mathbf{N}\times\mathbf{P} ~|~ n\in \alpha_p \triangle \alpha'_p \}
\end{equation}
where the symmetric difference $\alpha_p \triangle \alpha'_p$ denotes the nodes appearing in one of the assignations but not in both.
\section{Computation of an optimal assignment}
The algorithm that we propose takes as inputs the cluster layout parameters $\mathbf{N}$, $\mathbf{Z}$, $\mathbf{P}$, $(c_n)_{n\in \mathbf{N}}$, $\rho_\mathbf{N}$, $\rho_\mathbf{Z}$, that we defined in the introduction, together with the former assignation $\alpha'$ (if any). The computation of the new optimal assignation $\alpha^*$ is done in three successive steps that will be detailed in the following sections. The first step computes the largest partition size $s^*$ that an assignation can achieve. The second step computes an optimal candidate assignment $\alpha$ that achieves $s^*$ and a heuristic is used in the computation to make it hopefully close to $\alpha'$. The third steps modifies $\alpha$ iteratively to reduces $d(\alpha, \alpha')$ and yields an assignation $\alpha^*$ achieving $s^*$, and minimizing $d(\cdot, \alpha')$ among such assignations.
We will explain in the next section how to represent an assignment $\alpha$ by a flow $f$ on a weighted graph $G$ to enable the use of flow and graph algorithms. The main function of the algorithm can be written as follows.
\subsubsection*{Algorithm}
\begin{algorithmic}[1]
\Function{Compute Layout}{$\mathbf{N}$, $\mathbf{Z}$, $\mathbf{P}$, $(c_n)_{n\in \mathbf{N}}$, $\rho_\mathbf{N}$, $\rho_\mathbf{Z}$, $\alpha'$}
\State $s^* \leftarrow$ \Call{Compute Partition Size}{$\mathbf{N}$, $\mathbf{Z}$, $\mathbf{P}$, $(c_n)_{n\in \mathbf{N}}$, $\rho_\mathbf{N}$, $\rho_\mathbf{Z}$}
\State $G \leftarrow G(s^*)$
\State $f \leftarrow$ \Call{Compute Candidate Assignment}{$G$, $\alpha'$}
\State $f^* \leftarrow$ \Call{Minimize transfer load}{$G$, $f$, $\alpha'$}
\State Build $\alpha^*$ from $f^*$
\State \Return $\alpha^*$
\EndFunction
\end{algorithmic}
\subsubsection*{Complexity}
As we will see in the next sections, the worst case complexity of this algorithm is $O(P^2 N^2)$. The minimization of transfer load is the most expensive step, and it can run with a timeout since it is only an optimization step. Without this step (or with a smart timeout), the worst cas complexity can be $O((PN)^{3/2}\log C)$ where $C$ is the total storage capacity of the cluster.
\subsection{Determination of the partition size $s^*$}
We will represent an assignment $\alpha$ as a flow in a specific graph $G$. We will not compute the optimal partition size $s^*$ a priori, but we will determine it by dichotomy, as the largest size $s$ such that the maximal flow achievable on $G=G(s)$ has value $\rho_\mathbf{N}P$. We will assume that the capacities are given in a small enough unit (say, Megabytes), and we will determine $s^*$ at the precision of the given unit.
Given some candidate size value $s$, we describe the oriented weighted graph $G=(V,E)$ with vertex set $V$ arc set $E$ (see Figure \ref{fig:flowgraph}).
The set of vertices $V$ contains the source $\mathbf{s}$, the sink $\mathbf{t}$, vertices
$\mathbf{p^+, p^-}$ for every partition $p$, vertices $\mathbf{x}_{p,z}$ for every partition $p$ and zone $z$, and vertices $\mathbf{n}$ for every node $n$.
The set of arcs $E$ contains:
\begin{itemize}
\item ($\mathbf{s}$,$\mathbf{p}^+$, $\rho_\mathbf{Z}$) for every partition $p$;
\item ($\mathbf{s}$,$\mathbf{p}^-$, $\rho_\mathbf{N}-\rho_\mathbf{Z}$) for every partition $p$;
\item ($\mathbf{p}^+$,$\mathbf{x}_{p,z}$, 1) for every partition $p$ and zone $z$;
\item ($\mathbf{p}^-$,$\mathbf{x}_{p,z}$, $\rho_\mathbf{N}-\rho_\mathbf{Z}$) for every partition $p$ and zone $z$;
\item ($\mathbf{x}_{p,z}$,$\mathbf{n}$, 1) for every partition $p$, zone $z$ and node $n\in z$;
\item ($\mathbf{n}$, $\mathbf{t}$, $\lfloor c_n/s \rfloor$) for every node $n$.
\end{itemize}
\begin{figure}
\centering
\includegraphics[width=\linewidth]{figures/flow_graph_param}
\caption{An example of graph $G(s)$. Arcs are oriented from left to right, and unlabeled arcs have capacity 1. In this example, nodes $n_1,n_2,n_3$ belong to zone $z_1$, and nodes $n_4,n_5$ belong to zone $z_2$.}
\label{fig:flowgraph}
\end{figure}
In the following complexity calculations, we will use the number of vertices and edges of $G$. Remark from now that $\# V = O(PZ)$ and $\# E = O(PN)$.
\begin{proposition}
An assignment $\alpha$ is realizable with partition size $s$ and the redundancy constraints $(\rho_\mathbf{N},\rho_\mathbf{Z})$ if and only if there exists a maximal flow function $f$ in $G$ with total flow $\rho_\mathbf{N}P$, such that the arcs ($\mathbf{x}_{p,z}$,$\mathbf{n}$, 1) used are exactly those for which $p$ is associated to $n$ in $\alpha$.
\end{proposition}
\begin{proof}
Given such flow $f$, we can reconstruct a candidate $\alpha$. In $f$, the flow passing through $\mathbf{p^+}$ and $\mathbf{p^-}$ is $\rho_\mathbf{N}$, and since the outgoing capacity of every $\mathbf{x}_{p,z}$ is 1, every partition is associated to $\rho_\mathbf{N}$ distinct nodes. The fraction $\rho_\mathbf{Z}$ of the flow passing through every $\mathbf{p^+}$ must be spread over as many distinct zones as every arc outgoing from $\mathbf{p^+}$ has capacity 1. So the reconstructed $\alpha$ verifies the redundancy constraints. For every node $n$, the flow between $\mathbf{n}$ and $\mathbf{t}$ corresponds to the number of partitions associated to $n$. By construction of $f$, this does not exceed $\lfloor c_n/s \rfloor$. We assumed that the partition size is $s$, hence this association does not exceed the storage capacity of the nodes.
In the other direction, given an assignment $\alpha$, one can similarly check that the facts that $\alpha$ respects the redundancy constraints, and the storage capacities of the nodes, are necessary condition to construct a maximal flow function $f$.
\end{proof}
\textbf{Implementation remark:} In the flow algorithm, while exploring the graph, we explore the neighbours of every vertex in a random order to heuristically spread the associations between nodes and partitions.
\subsubsection*{Algorithm}
With this result mind, we can describe the first step of our algorithm. All divisions are supposed to be integer divisions.
\begin{algorithmic}[1]
\Function{Compute Partition Size}{$\mathbf{N}$, $\mathbf{Z}$, $\mathbf{P}$, $(c_n)_{n\in \mathbf{N}}$, $\rho_\mathbf{N}$, $\rho_\mathbf{Z}$}
\State Build the graph $G=G(s=1)$
\State $ f \leftarrow$ \Call{Maximal flow}{$G$}
\If{$f.\mathrm{total flow} < \rho_\mathbf{N}P$}
\State \Return Error: capacities too small or constraints too strong.
\EndIf
\State $s^- \leftarrow 1$
\State $s^+ \leftarrow 1+\frac{1}{\rho_\mathbf{N}}\sum_{n \in \mathbf{N}} c_n$
\While{$s^-+1 < s^+$}
\State Build the graph $G=G(s=(s^-+s^+)/2)$
\State $ f \leftarrow$ \Call{Maximal flow}{$G$}
\If{$f.\mathrm{total flow} < \rho_\mathbf{N}P$}
\State $s^+ \leftarrow (s^- + s^+)/2$
\Else
\State $s^- \leftarrow (s^- + s^+)/2$
\EndIf
\EndWhile
\State \Return $s^-$
\EndFunction
\end{algorithmic}
\subsubsection*{Complexity}
To compute the maximal flow, we use Dinic's algorithm. Its complexity on general graphs is $O(\#V^2 \#E)$, but on graphs with edge capacity bounded by a constant, it turns out to be $O(\#E^{3/2})$. The graph $G$ does not fall in this case since the capacities of the arcs incoming to $\mathbf{t}$ are far from bounded. However, the proof of this complexity function works readily for graphs where we only ask the edges \emph{not} incoming to the sink $\mathbf{t}$ to have their capacities bounded by a constant. One can find the proof of this claim in \cite[Section 2]{even1975network}.
The dichotomy adds a logarithmic factor $\log (C)$ where $C=\sum_{n \in \mathbf{N}} c_n$ is the total capacity of the cluster. The total complexity of this first function is hence
$O(\#E^{3/2}\log C ) = O\big((PN)^{3/2} \log C\big)$.
\subsubsection*{Metrics}
We can display the discrepancy between the computed $s^*$ and the best size we could have hoped for the given total capacity, that is $C/\rho_\mathbf{N}$.
\subsection{Computation of a candidate assignment}
Now that we have the optimal partition size $s^*$, to compute a candidate assignment it would be enough to compute a maximal flow function $f$ on $G(s^*)$. This is what we do if there is no former assignation $\alpha'$.
If there is some $\alpha'$, we add a step that will heuristically help to obtain a candidate $\alpha$ closer to $\alpha'$. We fist compute a flow function $\tilde{f}$ that uses only the partition-to-node associations appearing in $\alpha'$. Most likely, $\tilde{f}$ will not be a maximal flow of $G(s^*)$. In Dinic's algorithm, we can start from a non maximal flow function and then discover improving paths. This is what we do by starting from $\tilde{f}$. The hope\footnote{This is only a hope, because one can find examples where the construction of $f$ from $\tilde{f}$ produces an assignment $\alpha$ that is not as close as possible to $\alpha'$.} is that the final flow function $f$ will tend to keep the associations appearing in $\tilde{f}$.
More formally, we construct the graph $G_{|\alpha'}$ from $G$ by removing all the arcs $(\mathbf{x}_{p,z},\mathbf{n}, 1)$ where $p$ is not associated to $n$ in $\alpha'$. We compute a maximal flow function $\tilde{f}$ in $G_{|\alpha'}$. The flow $\tilde{f}$ is also a valid (most likely non maximal) flow function on $G$. We compute a maximal flow function $f$ on $G$ by starting Dinic's algorithm on $\tilde{f}$.
\subsubsection*{Algorithm}
\begin{algorithmic}[1]
\Function{Compute Candidate Assignment}{$G$, $\alpha'$}
\State Build the graph $G_{|\alpha'}$
\State $ \tilde{f} \leftarrow$ \Call{Maximal flow}{$G_{|\alpha'}$}
\State $ f \leftarrow$ \Call{Maximal flow from flow}{$G$, $\tilde{f}$}
\State \Return $f$
\EndFunction
\end{algorithmic}
~
\textbf{Remark:} The function ``Maximal flow'' can be just seen as the function ``Maximal flow from flow'' called with the zero flow function as starting flow.
\subsubsection*{Complexity}
With the considerations of the last section, we have the complexity of the Dinic's algorithm $O(\#E^{3/2}) = O((PN)^{3/2})$.
\subsubsection*{Metrics}
We can display the flow value of $\tilde{f}$, which is an upper bound of the distance between $\alpha$ and $\alpha'$. It might be more a Debug level display than Info.
\subsection{Minimization of the transfer load}
Now that we have a candidate flow function $f$, we want to modify it to make its corresponding assignation $\alpha$ as close as possible to $\alpha'$. Denote by $f'$ the maximal flow corresponding to $\alpha'$, and let $d(f, \alpha')=d(f, f'):=d(\alpha,\alpha')$\footnote{It is the number of arcs of type $(\mathbf{x}_{p,z},\mathbf{n})$ saturated in one flow and not in the other.}.
We want to build a sequence $f=f_0, f_1, f_2 \dots$ of maximal flows such that $d(f_i, \alpha')$ decreases as $i$ increases. The distance being a non-negative integer, this sequence of flow functions must be finite. We now explain how to find some improving $f_{i+1}$ from $f_i$.
For any maximal flow $f$ in $G$, we define the oriented weighted graph $G_f=(V, E_f)$ as follows. The vertices of $G_f$ are the same as the vertices of $G$. $E_f$ contains the arc $(v_1,v_2, w)$ between vertices $v_1,v_2\in V$ with weight $w$ if and only if the arc $(v_1,v_2)$ is not saturated in $f$ (i.e. $c(v_1,v_2)-f(v_1,v_2) \ge 1$, we also consider reversed arcs). The weight $w$ is:
\begin{itemize}
\item $-1$ if $(v_1,v_2)$ is of type $(\mathbf{x}_{p,z},\mathbf{n})$ or $(\mathbf{x}_{p,z},\mathbf{n})$ and is saturated in only one of the two flows $f,f'$;
\item $+1$ if $(v_1,v_2)$ is of type $(\mathbf{x}_{p,z},\mathbf{n})$ or $(\mathbf{x}_{p,z},\mathbf{n})$ and is saturated in either both or none of the two flows $f,f'$;
\item $0$ otherwise.
\end{itemize}
If $\gamma$ is a simple cycle of arcs in $G_f$, we define its weight $w(\gamma)$ as the sum of the weights of its arcs. We can add $+1$ to the value of $f$ on the arcs of $\gamma$, and by construction of $G_f$ and the fact that $\gamma$ is a cycle, the function that we get is still a valid flow function on $G$, it is maximal as it has the same flow value as $f$. We denote this new function $f+\gamma$.
\begin{proposition}
Given a maximal flow $f$ and a simple cycle $\gamma$ in $G_f$, we have $d(f+\gamma, f') - d(f,f') = w(\gamma)$.
\end{proposition}
\begin{proof}
Let $X$ be the set of arcs of type $(\mathbf{x}_{p,z},\mathbf{n})$. Then we can express $d(f,f')$ as
\begin{align*}
d(f,f') & = \#\{e\in X ~|~ f(e)\neq f'(e)\}
= \sum_{e\in X} 1_{f(e)\neq f'(e)} \\
& = \frac{1}{2}\big( \#X + \sum_{e\in X} 1_{f(e)\neq f'(e)} - 1_{f(e)= f'(e)} \big).
\end{align*}
We can express the cycle weight as
\begin{align*}
w(\gamma) & = \sum_{e\in X, e\in \gamma} - 1_{f(e)\neq f'(e)} + 1_{f(e)= f'(e)}.
\end{align*}
Remark that since we passed on unit of flow in $\gamma$ to construct $f+\gamma$, we have for any $e\in X$, $f(e)=f'(e)$ if and only if $(f+\gamma)(e) \neq f'(e)$.
Hence
\begin{align*}
w(\gamma) & = \frac{1}{2}(w(\gamma) + w(\gamma)) \\
&= \frac{1}{2} \Big(
\sum_{e\in X, e\in \gamma} - 1_{f(e)\neq f'(e)} + 1_{f(e)= f'(e)} \\
& \qquad +
\sum_{e\in X, e\in \gamma} 1_{(f+\gamma)(e)\neq f'(e)} + 1_{(f+\gamma)(e)= f'(e)}
\Big).
\end{align*}
Plugging this in the previous equation, we find that
$$d(f,f')+w(\gamma) = d(f+\gamma, f').$$
\end{proof}
This result suggests that given some flow $f_i$, we just need to find a negative cycle $\gamma$ in $G_{f_i}$ to construct $f_{i+1}$ as $f_i+\gamma$. The following proposition ensures that this greedy strategy reaches an optimal flow.
\begin{proposition}
For any maximal flow $f$, $G_f$ contains a negative cycle if and only if there exists a maximal flow $f^*$ in $G$ such that $d(f^*, f') < d(f, f')$.
\end{proposition}
\begin{proof}
Suppose that there is such flow $f^*$. Define the oriented multigraph $M_{f,f^*}=(V,E_M)$ with the same vertex set $V$ as in $G$, and for every $v_1,v_2 \in V$, $E_M$ contains $(f^*(v_1,v_2) - f(v_1,v_2))_+$ copies of the arc $(v_1,v_2)$. For every vertex $v$, its total degree (meaning its outer degree minus its inner degree) is equal to
\begin{align*}
\deg v & = \sum_{u\in V} (f^*(v,u) - f(v,u))_+ - \sum_{u\in V} (f^*(u,v) - f(u,v))_+ \\
& = \sum_{u\in V} f^*(v,u) - f(v,u) = \sum_{u\in V} f^*(v,u) - \sum_{u\in V} f(v,u).
\end{align*}
The last two sums are zero for any inner vertex since $f,f^*$ are flows, and they are equal on the source and sink since the two flows are both maximal and have hence the same value. Thus, $\deg v = 0$ for every vertex $v$.
This implies that the multigraph $M_{f,f^*}$ is the union of disjoint simple cycles. $f$ can be transformed into $f^*$ by pushing a mass 1 along all these cycles in any order. Since $d(f^*, f')<d(f,f')$, there must exists one of these simple cycles $\gamma$ with $d(f+\gamma, f') < d(f, f')$. Finally, since we can push a mass in $f$ along $\gamma$, it must appear in $G_f$. Hence $\gamma$ is a cycle of $G_f$ with negative weight.
\end{proof}
In the next section we describe the corresponding algorithm. Instead of discovering only one cycle, we are allowed to discover a set $\Gamma$ of disjoint negative cycles.
\subsubsection*{Algorithm}
\begin{algorithmic}[1]
\Function{Minimize transfer load}{$G$, $f$, $\alpha'$}
\State Build the graph $G_f$
\State $\Gamma \leftarrow$ \Call{Detect Negative Cycles}{$G_f$}
\While{$\Gamma \neq \emptyset$}
\ForAll{$\gamma \in \Gamma$}
\State $f \leftarrow f+\gamma$
\EndFor
\State Update $G_f$
\State $\Gamma \leftarrow$ \Call{Detect Negative Cycles}{$G_f$}
\EndWhile
\State \Return $f$
\EndFunction
\end{algorithmic}
\subsubsection*{Complexity}
The distance $d(f,f')$ is bounded by the maximal number of differences in the associated assignment. If these assignment are totally disjoint, this distance is $2\rho_N P$. At every iteration of the While loop, the distance decreases, so there is at most $O(\rho_N P) = O(P)$ iterations.
The detection of negative cycle is done with the Bellman-Ford algorithm, whose complexity should normally be $O(\#E\#V)$. In our case, it amounts to $O(P^2ZN)$. Multiplied by the complexity of the outer loop, it amounts to $O(P^3ZN)$ which is a lot when the number of partitions and nodes starts to be large. To avoid that, we adapt the Bellman-Ford algorithm.
The Bellman-Ford algorithm runs $\#V$ iterations of an outer loop, and an inner loop over $E$. The idea is to compute the shortest paths from a source vertex $v$ to all other vertices. After $k$ iterations of the outer loop, the algorithm has computed all shortest path of length at most $k$. All simple paths have length at most $\#V-1$, so if there is an update in the last iteration of the loop, it means that there is a negative cycle in the graph. The observation that will enable us to improve the complexity is the following:
\begin{proposition}
In the graph $G_f$ (and $G$), all simple paths have a length at most $4N$.
\end{proposition}
\begin{proof}
Since $f$ is a maximal flow, there is no outgoing edge from $\mathbf{s}$ in $G_f$. One can thus check than any simple path of length 4 must contain at least two node of type $\mathbf{n}$. Hence on a path, at most 4 arcs separate two successive nodes of type $\mathbf{n}$.
\end{proof}
Thus, in the absence of negative cycles, shortest paths in $G_f$ have length at most $4N$. So we can do only $4N+1$ iterations of the outer loop in the Bellman-Ford algorithm. This makes the complexity of the detection of one set of cycle to be $O(N\#E) = O(N^2 P)$.
With this improvement, the complexity of the whole algorithm is, in the worst case, $O(N^2P^2)$. However, since we detect several cycles at once and we start with a flow that might be close to the previous one, the number of iterations of the outer loop might be smaller in practice.
\subsubsection*{Metrics}
We can display the node and zone utilization ratio, by dividing the flow passing through them divided by their outgoing capacity. In particular, we can pinpoint saturated nodes and zones (i.e. used at their full potential).
We can display the distance to the previous assignment, and the number of partition transfers.
\bibliography{optimal_layout}
\bibliographystyle{ieeetr}
\end{document}

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@ -1,11 +0,0 @@
@article{even1975network,
title={Network flow and testing graph connectivity},
author={Even, Shimon and Tarjan, R Endre},
journal={SIAM journal on computing},
volume={4},
number={4},
pages={507--518},
year={1975},
publisher={SIAM}
}

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