borges collects and stores Git repositories.
I have always imagined that Paradise will be a kind of library.
Borges is a set of tools for collection and storage of Git repositories at large scale. It is a distributed system, similar to a search engine, that uses a custom repository storage file format and is optimized for saving storage space and keeping repositories up-to-date.
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Borges producer: a standalone process that reads repository URLs (from RabbitMQ or file) and schedules fetching this repository.
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Borges consumer: a standalone process that takes URLs from RabbitMQ, clones remote repository and pushes it to the appropriate Rooted Repository in the storage (local filesystem or HDFS).
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Borges packer: a standalone process that takes repository paths (or URLs) from a file and packs them into siva files (as a Rooted Repository) in the given output directory.
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Rooted Repository: a standard Git repository that stores all objects from all repositories that share common history, identified by same initial commit. It is stored in Siva file format.
Consumer and Producer run independently, communicating though a RabbitMQ instance and storing repository meta-data in PostgreSQL.
Packer does not need a RabbitMQ or a PostgreSQL instance and is not meant to be used as a pipeline, that's what consumer and producer are meant for.
Read the borges package godoc for further details on how does borges archive the repositories.
Both producer and consumer are shipped as a single binary,
see borges --help
to get details about the main commands and their options.
Borges needs a database and a message broker to do its job. It works with a PostgeSQL database by default and uses RabbitMQ. To configuring those, you can use following environment variables:
CONFIG_DBUSER
, by default:testing
CONFIG_DBPASS
, by default:testing
CONFIG_DBHOST
, by default:0.0.0.0
CONFIG_DBPORT
, by default:5432
CONFIG_DBNAME
, by default:testing
CONFIG_DBSSLMODE
, by default:disable
CONFIG_DBAPPNAME
, by default: ``CONFIG_DBTIMEOUT
, by default:30s
Other important settings are:
CONFIG_TEMP_DIR
: Local path to store temporal files needed by the Borges consumer, by default:/tmp/sourced
CONFIG_CLEAN_TEMP_DIR
: Delete temporay directory before starting, by default:false
CONFIG_BROKER
: by default:amqp://localhost:5672
CONFIG_ROOT_REPOSITORIES_DIR
: .siva file storage. If no HDFS connection url is provided, this will be a path in local filesystem. Otherwise, it will be an HDFS directory, by default:/tmp/root-repositories
CONFIG_LOCKING
, by default:local:
, other options:etcd:
CONFIG_HDFS
: (host:port) If this property is not provided, all root repositories will be stored into the local filesystem, by default:""
CONFIG_BUCKETSIZE
, by default:0
, number of characters used from the siva file name to create bucket directories. The value0
means that all files will be saved at the same level.
The producer runs as a service. It determines which repositories should be updated next and enqueues new jobs for them.
To launch the producer you just have to run it with the default configuration:
borges producer
Producer reads mentions from Rover's RabbitMQ queue, but it can also read URLs directly from a file with the special CLI option:
borges producer --source=file --file /path/to/file
The file must contain a url per line, it looks like:
https://github.com/a/repo1
https://github.com/b/repo2.git
http://github.com/c/repo3
http://github.com/d/repo4.git
When jobs fail they're sent to the buried queue. If you want to requeue them, you can pass the --republish-buried
flag (this only works for the mentions
source). For example:
borges producer --republish-buried
So a possible command to launch the producer could be:
$ CONFIG_DBUSER="user" \
CONFIG_DBPASS="pass" \
CONFIG_DBHOST="postgres" \
CONFIG_DBNAME="borges-db" \
CONFIG_BROKER="amqp://guest:guest@rabbitmq:5672" \
borges producer --loglevel=debug
For more details, use borges producer -h
.
The consumer runs as a service. It gets jobs from the queue and dispatches them to a goroutine workers pool.
Each job is a request to update a repository. It can be a new or an existing one. The remote repository is fetched (incrementally when possible) and each reference is then pushed to a specific Rooted Repository, dedicated to storing all references from repositories that share the same initial commit.
Note that borges should be the only one creating and writing to the repository storage.
To run a consumer instance from the command line with default configuration:
borges consumer
You can select the number of workers to use, by default it uses 8:
borges consumer --workers=20
A command you could use to run it could be:
$ CONFIG_TEMP_DIR="/borges/tmp" \
CONFIG_ROOT_REPOSITORIES_DIR="/borges/root-repositories" \
borges consumer --workers=20 --loglevel=debug
For more details, use borges consumer -h
The packer runs as a one time command getting jobs from a file with a repository path (or URL) per line and distributes these jobs across many workers to group them into Rooted Repositories and pack them as siva files.
This command does not need a PostgreSQL or a RabbitMQ connection and can be used locally without no internet connection if all the repositories to pack are local.
Imagine we have the following file repos.txt
with the repositories we want to pack:
git://github.com/yada/yada.git
https://github.com/foo/bar
file:///home/me/some-repo
/home/me/another-repo
If no protocol is specified it will be treated as an absolute path to a repository, which can be a bare repository or a regular git repository.
You can pack the previous repos running this command:
borges pack --file=repos.txt --to=/home/me/packed-repos
With the --to
argument you can specify where you want the siva files stored. If the directory does not exist it will be created. If you omit this argument siva files will be stored in $PWD/repositories
by default.
For more detauls, use borges pack -h
Both the producer and consumer services will run even if they cannot connect to the queue, or even if the queue is malfunctioning. If the queue does not work, they will just retry until it does.
Download the latest borges image
docker pull quay.io/srcd/borges
And then the PostgreSQL and RabbitMQ images (you can skip this step if you already have that setup for rovers).
docker pull postgres:9.6-alpine
docker pull rabbitmq:3-management
Start RabbitMQ and PostgreSQL (you can skip this step if you already have that setup for rovers.
docker run -d --name postgres -e POSTGRES_PASSWORD=testing -p 5432:5432 -e POSTGRES_USER=testing postgres
docker run -d --hostname rabbitmq --name rabbitmq -p 8081:15672 -p 5672:5672 rabbitmq:3-management
Now, you can start the borges consumer, the component that will be listenning for jobs and processing repositories.
docker run --name borges_consumer --link rabbitmq --link postgres \
-v /path/to/store/repos/locally:/borges/root-repositories \
-e CONFIG_DBUSER=testing -e CONFIG_DBPASS=testing \
-e CONFIG_DBHOST=postgres -e CONFIG_DBNAME=testing \
-e CONFIG_BROKER=amqp://guest:guest@rabbitmq:5672/ \
-e CONFIG_ROOT_REPOSITORIES_DIR=/borges/root-repositories \
quay.io/srcd/borges /bin/sh -c "borges init; borges consumer --loglevel=debug --workers=8"
Be sure to replace /path/to/store/repos/locally
with the path on your hard drive where you want your root repositories (as siva files) stored.
Finally, you need to send jobs to the borges consumer using the borges producer. If you have rovers setup already, you may want to use the rovers' mentions as the source.
docker run --name borges_consumer --link rabbitmq --link postgres \
-e CONFIG_DBUSER=testing -e CONFIG_DBPASS=testing \
-e CONFIG_DBHOST=postgres -e CONFIG_DBNAME=testing \
-e CONFIG_BROKER=amqp://guest:guest@rabbitmq:5672/ \
quay.io/srcd/borges borges producer --loglevel=debug
However, you can also process just a specific list of repositories without having to setup rovers on your own. Write the repository URLs in a file, one repository per line and feed it to the borges producer with the file
source. (This example assumes you have a repos.txt
in the current directory).
docker run --name borges_consumer_file --link rabbitmq --link postgres \
-e $(pwd):/opt/borges
-e CONFIG_DBUSER=testing -e CONFIG_DBPASS=testing \
-e CONFIG_DBHOST=postgres -e CONFIG_DBNAME=testing \
-e CONFIG_BROKER=amqp://guest:guest@rabbitmq:5672/ \
quay.io/srcd/borges borges producer --loglevel=debug --source=file --file=/opt/borges/repos.txt
Congratulations, now you have a fully working repository processing pipeline!
rm Makefile.main; rm -rf .ci
to make sure you will have the last Makefile changes.make dependencies
to download vendor dependencies using Glide.make packages
to generate binaries for several platforms.
You will find the built binaries in borges_linux_amd64/borges
and borges_darwin_amd64/borges
.
If you're running borges for the first time, make sure you initialize the schema of the database first. You can do so by running the following command:
borges init
make test
Borges has 2 runtime dependencies and has tests that depend on them:
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RabbitMQ
Consumers and Producers interact through a Queue. You can run one in Docker with the following command:
docker run -d --hostname rabbit --name rabbit -p 8080:15672 -p 5672:5672 rabbitmq:3-management
Note: a hostname needs to be provided, due to the fact that RabbitMQ stores data according to the host name
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PostgreSQL
Consumers creates siva files with Rooted Repositories, but all repository metadata is stored in PostgreSQL. You can run one in Docker with the following command:
docker run --name postgres -e POSTGRES_DB=testing -e POSTGRES_USER=testing -e POSTGRES_PASSWORD=testing -p 5432:5432 -d postgres # to check it manually, use docker exec -ti some-postgres psql -U testing
Use make test-coverage
to run all tests and produce a coverage report.
GPLv3, see LICENSE