Skip to content

A super fast graph database uses GraphBlas under the hood for its sparse adjacency matrix graph representation.

License

Notifications You must be signed in to change notification settings

jordankanter/FalkorDB

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Dockerhub Discord Workflow

FalkorDB

Note The team behind RedisGraph decided to take a stab at bringing this disruptive technology back to market.

We plan to rebrand it and release it as a stand alone product, following the same guidelines we have followed for the last 6 years:

  • Working in the open with the community
  • Always provide superior performance.
  • Easy to adapt

FalkorDB is the first queryable Property Graph database to use sparse matrices to represent the adjacency matrix in graphs and linear algebra to query the graph.

Primary features:

  • Adopting the Property Graph Model
    • Nodes (vertices) and Relationships (edges) that may have attributes
    • Nodes can have multiple labels
    • Relationships have a relationship type
  • Graphs represented as sparse adjacency matrices
  • OpenCypher with proprietary extensions as a query language
    • Queries are translated into linear algebra expressions

To see FalkorDB in action, visit Demos.

Quickstart

  1. Trying FalkorDB
  2. Build
  3. Start
  4. Use from any client
  5. Documentation

Give it a try

To quickly try out FalkorDB, launch an instance using docker:

docker run -p 6379:6379 -it --rm falkordb/falkordb:edge

Once loaded you can interact with FalkorDB using redis-cli.

Here we'll quickly create a small graph representing a subset of motorcycle riders and teams taking part in the MotoGP league, once created we'll start querying our data.

With redis-cli

$ redis-cli
127.0.0.1:6379> GRAPH.QUERY MotoGP "CREATE (:Rider {name:'Valentino Rossi'})-[:rides]->(:Team {name:'Yamaha'}), (:Rider {name:'Dani Pedrosa'})-[:rides]->(:Team {name:'Honda'}), (:Rider {name:'Andrea Dovizioso'})-[:rides]->(:Team {name:'Ducati'})"
1) 1) Labels added: 2
   2) Nodes created: 6
   3) Properties set: 6
   4) Relationships created: 3
   5) "Query internal execution time: 0.399000 milliseconds"

Now that our MotoGP graph is created, we can start asking questions, for example: Who's riding for team Yamaha?

127.0.0.1:6379> GRAPH.QUERY MotoGP "MATCH (r:Rider)-[:rides]->(t:Team) WHERE t.name = 'Yamaha' RETURN r.name, t.name"
1) 1) "r.name"
   2) "t.name"
2) 1) 1) "Valentino Rossi"
      2) "Yamaha"
3) 1) "Query internal execution time: 0.625399 milliseconds"

How many riders represent team Ducati?

127.0.0.1:6379> GRAPH.QUERY MotoGP "MATCH (r:Rider)-[:rides]->(t:Team {name:'Ducati'}) RETURN count(r)"
1) 1) "count(r)"
2) 1) 1) (integer) 1
3) 1) "Query internal execution time: 0.624435 milliseconds"

Building

Compiling

Requirements:

  • The FalkorDB repository: git clone --recurse-submodules -j8 https://github.com/FalkorDB/FalkorDB.git

  • On Ubuntu Linux, run: apt-get install build-essential cmake m4 automake peg libtool autoconf python3

  • On OS X, verify that homebrew is installed and run: brew install cmake m4 automake peg libtool autoconf.

    • The version of Clang that ships with the OS X toolchain does not support OpenMP, which is a requirement for RedisGraph. One way to resolve this is to run brew install gcc g++ and follow the on-screen instructions to update the symbolic links. Note that this is a system-wide change - setting the environment variables for CC and CXX will work if that is not an option.

To build, run make in the project's directory.

Congratulations! You can find the compiled binary at bin/<arch>/src/falkordb.so.

Running tests

First, install required Python packages by running pip install -r requirements.txt from the tests directory.

If you've got redis-server in PATH, just invoke make test.

Otherwise, invoke REDIS_SERVER=<redis-server-location> make test.

For more verbose output, run make test V=1.

Building in a docker

The FalkorDB build system runs within docker. For detailed instructions on building, please see here.

Loading FalkorDB into Redis

FalkorDB is hosted by Redis, so you'll first have to load it as a Module to a Redis server. Redis 6.2 is required for FalkorDB 2.12.

We recommend having Redis load FalkorDB during startup by adding the following to your redis.conf file:

loadmodule /path/to/module/src/falkordb.so

In the line above, replace /path/to/module/src/falkordb.so with the actual path to FalkorDB's library. If Redis is running as a service, you must ensure that the redis user (default) has the necessary file/folder permissions to access falkordb.so.

Alternatively, you can have Redis load FalkorDB using the following command line argument syntax:

~/$ redis-server --loadmodule /path/to/module/src/falkordb.so

Lastly, you can also use the MODULE LOAD command. Note, however, that MODULE LOAD is a dangerous command and may be blocked/deprecated in the future due to security considerations.

Once you've successfully loaded FalkorDB your Redis log should have lines similar to:

...
30707:M 20 Jun 02:08:12.314 * Module 'graph' loaded from <redacted>/src/falkordb.so
...

If the server fails to launch with output similar to:

# Module /usr/lib/redis/modules/falkordb.so failed to load: libgomp.so.1: cannot open shared object file: No such file or directory
# Can't load module from /usr/lib/redis/modules/falkordb.so: server aborting

The system is missing the run-time dependency OpenMP. This can be installed on Ubuntu with apt-get install libgomp1, on RHEL/CentOS with yum install libgomp, and on OSX with brew install libomp.

Using FalkorDB

You can call FalkorDB's commands from any Redis client.

With redis-cli

$ redis-cli
127.0.0.1:6379> GRAPH.QUERY social "CREATE (:person {name: 'roi', age: 33, gender: 'male', status: 'married'})"

With any other client

You can interact with FalkorDB using your client's ability to send raw Redis commands.

Depending on your client of choice, the exact method for doing that may vary.

Python example

This code snippet shows how to use FalkorDB with raw Redis commands from Python via redis-py:

import redis

r = redis.Redis(host='localhost', port=6379, db=0)
reply = r.graph().query("CREATE (:person {name:'roi', age:33, gender:'male', status:'married'})")

Client libraries

Some languages have client libraries that provide support for FalkorDB's commands:

Project Language License Author Stars Package Comment
jedis Java MIT Redis Stars Maven
redis-py Python MIT FalkorDB Stars pypi
node-falkordb Node.JS MIT FalkorDB Stars npm
nredisstack .NET MIT Redis Stars nuget
redisgraph-rb Ruby BSD Redis redisgraph-rb-stars GitHub
redgraph Ruby MIT pzac redgraph-stars GitHub
redisgraph-go Go BSD Redis redisgraph-go-stars GitHub
rueidis Go Apache 2.0 Rueian rueidis-stars GitHub
ioredisgraph JavaScript ISC Jonah ioredisgraph-stars GitHub
@hydre/rgraph JavaScript MIT Sceat rgraph-stars GitHub
php-redis-graph PHP MIT KJDev php-redis-graph-stars GitHub
redisgraph_php PHP MIT jpbourbon redisgraph_php-stars GitHub
redisgraph-ex Elixir MIT crflynn redisgraph-ex-stars GitHub
redisgraph-rs Rust MIT malte-v redisgraph-rs-stars GitHub
redis_graph Rust BSD tompro redis_graph-stars GitHub
rustis Rust MIT Dahomey Technologies rustis-stars Crate Documentation
NRedisGraph C# BSD tombatron NRedisGraph-stars GitHub
RedisGraph.jl Julia MIT xyxel RedisGraph.jl-stars GitHub

License

Licensed under the Server Side Public License v1 (SSPLv1). See LICENSE.

About

A super fast graph database uses GraphBlas under the hood for its sparse adjacency matrix graph representation.

Resources

License

Security policy

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C 50.0%
  • Gherkin 24.3%
  • Python 23.7%
  • C++ 1.0%
  • Shell 0.7%
  • Makefile 0.3%