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Irmin is based on distributed version-control systems (DVCs), extensively used in software development to enable developers to keep track of change provenance and expose modifications in the source code. Irmin applies DVC's principles to large-scale distributed data and exposes similar functions to Git (clone, push, pull, branch, rebase). It is highly customizable: users can define their types to store application-specific values and define custom storage layers (in memory, on disk, in a remote Redis database, in the browser, etc.). The Git workflow was initially designed for humans to manage changes within source code. Irmin scales this to handle automatic programs performing a very high number of operations per second, with a fully automated handling of update conflicts. Finally, Irmin exposes an event-driven API to define programmable dynamic behaviours and to program distributed dataflow pipelines.

Irmin was created at the University of Cambridge in 2013 to be the default storage layer for MirageOS applications (both to store and orchestrate unikernel binaries and the data that these unikernels are using). As such, Irmin is not, strictly speaking, a complete database engine. Instead, similarly to other MirageOS components, it is a collection of libraries designed to solve different flavours of the challenges raised by the CAP Theorem. Each application can select the right combination of libraries to solve its particular distributed problem.

Irmin consists of a core of well-defined low-level data structures that specify how data should be persisted and be shared across nodes. It defines algorithms for efficient synchronization of those distributed low-level constructs. It also builds a collection of higher-level data structures that developers can use without knowing precisely how Irmin works underneath. Some of these components even have a formal semantics, including Conflict-free Replicated Data-Types (CRDT). Since it's a part of MirageOS, Irmin does not make strong assumptions about the OS environment that it runs in. This makes the system very portable: it works well for in-memory databases and slower persistent serialization such as SSDs, hard drives, web browser local storage, or even the Git file format.

Irmin is primarily developed and maintained by Tarides, with contributions from many contributors from various organizations. External maintainers and contributors are welcome.

• Features
• Documentation
• Installation
  • Prerequisites
  • Development Version
• Usage
  • Example
  • Command-line
• Context
  • • Irmin as a portable and efficient structured key-value store
    • Irmin as a distributed store
    • Irmin as a dataflow scheduler
• Issues
• License
• Acknowledgements

Features

• Built-in Snapshotting - backup and restore
• Storage Agnostic - you can use Irmin on top of your own storage layer
• Custom Datatypes - (de)serialization for custom data types, derivable via ppx_irmin
• Highly Portable - runs anywhere from Linux to web browsers and Xen unikernels
• Git Compatibility - irmin-git uses an on-disk format that can be inspected and modified using Git
• Dynamic Behavior - allows the users to define custom merge functions, use in-memory transactions (to keep track of reads as well as writes) and to define event-driven workflows using a notification mechanism

Documentation

API documentation can be found online at https://mirage.github.io/irmin

Installation

Prerequisites

Please ensure to install the minimum opam and ocaml versions. Find the latest version and install instructions on ocaml.org.

To install Irmin with the command-line tool and all unix backends using opam:

  opam install irmin-cli

A minimal installation containing the reference in-memory backend can be installed by running:

  opam install irmin

The following packages have are available on opam:

• irmin - the base package, plus an in-memory storage implementation
• irmin-chunk - chunked storage
• irmin-cli - a simple command-line tool
• irmin-fs - filesystem-based storage using bin_prot
• irmin-git - Git compatible storage
• irmin-graphql - GraphQL server
• irmin-mirage - mirage compatibility
• irmin-mirage-git - Git compatible storage for mirage
• irmin-mirage-graphql - mirage compatible GraphQL server
• irmin-pack - compressed, on-disk, posix backend
• ppx_irmin - PPX deriver for Irmin content types (see README_PPX.md)
• irmin-containers - collection of simple, ready-to-use mergeable data structures

To install a specific package, simply run:

  opam install <package-name>

Development Version

To install the development version of Irmin in your current opam switch, clone this repository and opam install the packages inside:

  git clone https://github.com/mirage/irmin
  cd irmin/
  opam install .

Usage

Example

Below is a simple example of setting a key and getting the value out of a Git-based, filesystem-backed store.

open Lwt.Syntax

(* Irmin store with string contents *)
module Store = Irmin_git_unix.FS.KV (Irmin.Contents.String)

(* Database configuration *)
let config = Irmin_git.config ~bare:true "/tmp/irmin/test"

(* Commit author *)
let author = "Example <example@example.com>"

(* Commit information *)
let info fmt = Irmin_git_unix.info ~author fmt

let main =
  (* Open the repo *)
  let* repo = Store.Repo.v config in

  (* Load the main branch *)
  let* t = Store.main repo in

  (* Set key "foo/bar" to "testing 123" *)
  let* () =
    Store.set_exn t ~info:(info "Updating foo/bar") [ "foo"; "bar" ]
      "testing 123"
  in

  (* Get key "foo/bar" and print it to stdout *)
  let+ x = Store.get t [ "foo"; "bar" ] in
  Printf.printf "foo/bar => '%s'\n" x

(* Run the program *)
let () = Lwt_main.run main

The example is contained in examples/readme.ml It can be compiled and executed with dune:

$ dune build examples/readme.exe
$ dune exec examples/readme.exe
foo/bar => 'testing 123'

The examples directory also contains more advanced examples, which can be executed in the same way.

Command-line

The same thing can also be accomplished using irmin, the command-line application installed with irmin-cli, by running:

$ echo "root: ." > irmin.yml
$ irmin init
$ irmin set foo/bar "testing 123"
$ irmin get foo/bar
testing 123

irmin.yml allows for irmin flags to be set on a per-directory basis. You can also set flags globally using $HOME/.irmin/config.yml. Run irmin help irmin.yml for further details.

Also see irmin --help for list of all commands and either irmin <command> --help or irmin help <command> for more help with a specific command.

Context

Irmin's initial desing is directly inspired from XenStore, with:

• the need for efficient optimistic concurrency control features to be able to let thousands of virtual machine concurrently access and modify a central configuration database (the Xen stack uses XenStore as an RPC mechanism to setup VM configuration on boot). Very early on, the initial focus was to specify and handle potential conflicts when the optimistic assumptions do not usually work so well.
• the need for a convenient way to debug and audit possible issues that might happen in that system. Our initial experiments showed that it was possible to design a reliable system using Git as backend to persist configuation data reliably (to safely restart after a crash), while making system debugging easy and go really fast, thanks to efficient merging strategy.

In 2014, the first release of Irmin was announced part of the MirageOS 2.0 release here. Since then, several projects started using and improving Irmin. These can roughly be split into 3 categories: (i) use Irmin as a portable, structured key-value store (with expressive, mergeable types); (ii) use Irmin as distributed database (with a customizable consistency semantics) and (iii) an event-driven dataflow engine.

Irmin as a portable and efficient structured key-value store

• XenStored is an information storage space shared between all the Xen virtual machines running in the same host. Each virtual machines gets its own path in the store. When values are changed in the store, the appropriate drivers are notified. The initial OCaml implementation was later extended to use Irmin here. More details here.
• Jitsu is an experimental orchestrator for unikernels. It uses Irmin to store the unikernel configuration (and manage dynamic DNS entries). See more details here.
• Cuekeeper is a web-based GTD (a fancy TODO list) that runs entirely in the browser. It uses Irmin in the browser to store data locally, with support for structured concurrent editing and snapshot export and import. More details here.
• Canopy and Unipi both use Irmin to serve static websites pull from Git repositories and deployed as unikernels.
• Caldav is using Irmin to store calendar entries and back them into a Git repository. More information here.
• Datakit was developed at Docker and provided a 9p interface to the Irmin API. It was used to manage the configuration of Docker for Desktop, with merge policies on upgrade, full auditing, and snapshot/rollback capabilites.
• Tezos started using Irmin in 2017 to store the ledger state. The first prototype used irmin-git before switching to irmin-lmdb and irmin-leveldb (and now irmin-pack). More details here.

Irmin as a distributed store

• An IMAP server using Irmin to store emails. More details here. The goal of that project was both to use Irmin to store emails (so using Irmin as a local key-value store) but also to experiment with replacing the IMAP on-wire protocol by an explicit Git push/pull mechanism.
• irmin-ARP uses Irmin to store and audit ARP configuration. It's using Irmin as a local key-value store for very low-level information (which are normally stored very deep in the kernel layers), but the main goal was really to replace the broadcasting on-wire protocol by point-to-point pull/push synchronisation primitives, with a full audit log of ARP operations over a network. More details here.
• Banyan uses Irmin to implement a distributed cache over a geo-replicated cluster. It's using Cassandra as a storage backend. More information here.
• irmin-fdb implements an Irmin store backed by FoundationDB. More details here.

Irmin as a dataflow scheduler

• Datakit CI is a continuous integration service that monitors GitHub project and tests each branch, tag and pull request. It displays the test results as status indicators in the GitHub UI. It keeps all of its state and logs in DataKit, rather than a traditional relational database, allowing review with the usual Git tools. The core of the project is a scheduler that manage dataflow pipelines across Git repositories. It was used for a few years as the CI system test Docker for Desktop on bare-metal and virtual machines, as well as all the new opam package submissions to ocaml/opam-repository. More details here.
• Causal RPC implements an RPC framework using Irmin as a network substrate. More details here.
• CISO is an experimental (distributed) Continuous Integration engine for OPAM. It was designed as a replacement of Datakit-CI and finally turned into ocurrent.

Issues

Feel free to report any issues using the GitHub bugtracker.

License

See the LICENSE file.

Acknowledgements

Development of Irmin was supported in part by the EU FP7 User-Centric Networking project, Grant No. 611001.