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Erlang Persistency Framework
Erlang Makefile

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This is a work in progress. There's also an article about sumo_db. This articles might be a little outdated by now, but can still provide some basic information on how to get started.

sumo_db aims to ease db access for erlang applications. It offers a very simple persistance layer capable of interacting with different db's, while offering a consistent api to your code.

Contact Us

For questions or general comments regarding the use of this library, please use our public hipchat room.

If you find any bugs or have a problem while using this library, please open an issue in this repo (or a pull request :)).

And you can check all of our open-source projects at


  • sumo_db gives you a standard way to define your db schema, regardless of the db implementation (mongo, mysql, redis, elasticsearch, etc.).

  • Your entities encapsulate behavior in code (i.e. functions in a module) and state in a sumo:doc() implementation.

  • sumo is the main module. It translates to and from sumo internal records into your own state.

  • Each repo is managed by a worker pool of processes, each one using a module that implements sumo_repo and calls the actual db driver (e.g: sumo_repo_mysql).

  • Some native domain events are supported, that are dispatched through a gen_event:notify/2 automatically when an entity is created, updated, deleted. Also when a schema is created and when all entities of a given type are deleted. Events are described in this article.

  • Full conditional logic support when using find_by/2 and delete_by/2 function. You can find more information about the syntax of this conditional logic operators here.

  • Support for sorting (asc or desc) based on multiple fields unsing find_by/5 and find_all/4 functions. For example this [{age, desc}, {name, asc}]] will sort descendently by age and ascendently by name.

Backends, Stores and Repositories modules

These three concepts have a specific meaning in the context of sumo_db.

  • Backend: holds the connection to a single instance of a database, which can be MySql, MongoDB, ElasticSearch or any other that's implemented.

  • Store: implements the specific operations that modify the contents of the backend and retrieves the information it holds.

  • Repository: the application that uses sumo_db should implement one repository for each entity that's defined in it. The repository is the module that bridges the model and the store.


See: examples/blog for a full example. To run it, while being in the top level directory:

make all blog

Running Tests

To run tests successfully, you need to follow these steps first:

  • Start the database engines: MySQL, PostgreSQL, MongoDB and ElasticSearch

  • For MySQL, PostgreSQL and MongoDB, you need to:

    • Create an user (or use defaults) and configure it on test/test.config file.
    • Create test database sumo_test on each DB.


  • For MongoDB you first create the test database and then create an user to access that DB. For more information visit MongoDB Tutorial.
  • For Riak please follow instructions below ( Riak).


Install Riak

To install/upgrade Riak please follow the instructions in this link: Installing and Upgrading Riak.

Initial Configurations

Due to the fact that Riak comes with default configuration, we need to change some parameters required by sumo_db.

Riak has a main configuration file riak.conf, which you can find into your installation path $YOUR_INSTALL_PATH/etc/riak.conf.

Note: For more information check this link Configuration Files.

First parameter to change is the default Riak backend from Bitcask to LevelDB. This change also enables the use of Riak Secondary Indexes.

storage_backend = leveldb

Then proceed to enable search capabilities:

search = on

Note: For more information check this link Riak Search Settings.

Configuring Riak Data Types and Search

First, let's create and activate a bucket type simply called maps that is set up to store Riak maps:

$ riak-admin bucket-type create maps '{"props":{"datatype":"map"}}'
$ riak-admin bucket-type activate maps

Now, let's create a search index called sumo_test_index using the default schema:

$ curl -XPUT $RIAK_HOST/search/index/sumo_test_index \
    -H 'Content-Type: application/json' \
    -d '{"schema":"_yz_default"}'

With our index created, we can associate our new sumo_test_index index with our maps bucket type:

$ riak-admin bucket-type update maps '{"props":{"search_index":"sumo_test_index"}}'

Now we can start working with Riak from sumo_db.

Note: For more information check this link Riak Data Types and Search.

SQL Extras

Aaron Spiegel has written some extra utilities for the SQL backend, which may be found at:

Change Log

All notable changes to this project will be documented in the


We want to thank all of our contributors for their hard work :muscle:.

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