Need help with redstorm?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

303 Stars 56 Forks Other 438 Commits 34 Opened issues


JRuby on Storm

Services available


Need anything else?

Contributors list

# 14,268
361 commits
# 235,716
10 commits
# 20,399
Apache ...
10 commits
# 31,317
3 commits
# 314,547
2 commits
# 83,319
2 commits
# 726,845
2 commits
# 218,215
1 commit
# 5,226
1 commit
# 2,750
React N...
1 commit
# 190,887
1 commit
# 306,752
1 commit

RedStorm - JRuby on Storm

Gem Version build status Code Climate Coverage Status

RedStorm provides a Ruby DSL using JRuby integration for the Storm distributed realtime computation system.

Like RedStorm? visit us on IRC at #redstorm on freenode

Check also these related projects:


Chances are new versions of RedStorm will introduce changes that will break compatibility or change the developement workflow. To prevent out-of-sync documentation, per version specific documentation are kept in the wiki when necessary.


Stable 0.6.6

  • Tested on OSX 10.8.3, Ubuntu Linux 12.10 using Storm 0.9.0-wip16, JRuby 1.7.4, OpenJDK 7

Current 0.7.0.beta1

  • Tested on OSX 10.9.1, Ubuntu Linux 12.10 using Storm 0.9.1-incubating, JRuby 1.7.11, OpenJDK 7


  • RubyGems
  $ gem install redstorm
  • Bundler
  source ""
  gem "redstorm", "~> 0.6.6"



  • create a project directory
  • install the RedStorm gem
  • create a subdirectory for your topology code
  • perform the initial setup as to build and install dependencies
  $ redstorm install
  • run your topology in local mode
  $ redstorm local 

Initial setup

$ redstorm install

This will install default Java jar dependencies in

, generate & compile the Java bindings in

By default, the Java compilation will use the current JVM version as source/target compilation compatibility. If you want to force a specific source/target version, use the

option. For example, to force compiling for 1.6 use:
$ redstorm install --1.6

Create a topology

Create a subdirectory for your topology code and create your topology class using this naming convention: underscore topologyclassfile_name.rb MUST correspond to its CamelCase class name.

Here's an example helloworldtopology.rb

require 'red_storm'

class HelloWorldSpout < RedStorm::DSL::Spout on_init {@words = ["hello", "world"]} on_send {@words.shift unless @words.empty?} end

class HelloWorldBolt < RedStorm::DSL::Bolt on_receive :emit => false do |tuple|[0]) end end

class HelloWorldTopology < RedStorm::DSL::Topology spout HelloWorldSpout do output_fields :word end

bolt HelloWorldBolt do source HelloWorldSpout, :global end end

Gems in your topology

RedStorm requires Bundler if gems are needed in your topology. Supply a

in the root of your project directory with the gems required in your topology. If you are using Bundler also for other gems than those required in the topology you should group the topology gems in a Bunder group of your choice.

Note that bundler is only used to help package the gems prior to running a topology. Your topology code should not use Bundler. With

require "red_storm"
in your topology class file, RedStorm will take care of setting the gems path. Do not
require 'bundler/setup'
in the topology.
  1. have Bundler install the gems locally
  $ bundle install
  1. copy the topology gems into the
  $ redstorm bundle [BUNDLER_GROUP]
  1. make sure your topology class has
    require "red_storm"
  require 'red_storm'


redstorm bundle
command copy the gems specified in the Gemfile (in a specific group if specified) into the
directory. In order for the topology to run in a Storm cluster, the fully installed gems must be packaged and self-contained into a single jar file. This has an important consequence: the gems will not be installed on the cluster target machines, they are already installed in the jar file. This could lead to problems if the machine used to install the gems is of a different architecture than the cluster target machines and some of these gems have C or FFI extensions.

Custom Jar dependencies in your topology (XML Warning! :P)

By defaut, RedStorm installs Storm and JRuby jars dependencies into

. RedStorm uses Ivy 2.3 to manage dependencies. You can fully control and customize these dependencies.

There are two distinct sets of dependencies: the

dependencies manages the requirements (Storm jars) for the Storm local mode runtime. The
dependencies manages the requirements (JRuby jars) for the topology runtime.

You can supply custom

dependencies by creating
files. Below are the current default content for these files:
  • ivy/storm_dependencies.xml
  • ivy/topology_dependencies.xml

  <!-- explicitely specify jffi to also fetch the native jar. make sure to update jffi version matching jruby-core version -->
  <!-- this is the only way I found using Ivy to fetch the native jar -->
  <dependency org="com.github.jnr" name="jffi" rev="1.2.5" conf="default" transitive="true">
    <artifact name="jffi" type="jar"></artifact>
    <artifact name="jffi" type="jar" m:classifier="native"></artifact>


The jars repositories can be configured by adding the

file in the root of your project. For information on the Ivy settings format, see the Ivy Settings Documentation. Below is the current default:
  • ivy/settings.xml

Run in local mode

$ redstorm local 

note that the topology can also be launched with the following command:

$ java -cp "target/classes:target/dependency/storm/default/*:target/dependency/topology/default/*:" redstorm.TopologyLauncher local 

See examples below to run examples in local mode or on a production cluster.

Run on production cluster

Locally installing the Storm distribution is not required. Note that RedStorm does not provide the Storm command line utilities and you will need to install the Storm distribution to use the Storm command line utilities.

  1. create the Storm config file
    and add the following "host_name_or_ip"

you can also use an alternate path and use the

  1. generate
    . This jar file will include your sources directory plus the required dependencies
  $ redstorm jar   ...
  1. submit the cluster topology jar file to the cluster
  $ redstorm cluster 

or if you have an alternate Storm config path:

  $ redstorm cluster --config  

note that the cluster topology jar can also be submitted using the storm command with:

  $ storm jar target/cluster-topology.jar -Djruby.compat.version=RUBY1_9 redstorm.TopologyLauncher cluster 

The Storm wiki has instructions on setting up a production cluster. You can also manually submit your topology.


RedStorm includes several example topologies to help get you started. You can find documentation for the examples here.

Ruby DSL

Ruby DSL Documentation

Multilang ShellSpout & ShellBolt support

Please refer to Using non JVM languages with Storm for the complete information on Multilang & shelling in Storm.

In RedStorm ShellSpout and ShellBolt are supported using the following construct in the topology definition:

bolt JRubyShellBolt, ["python", ""] do
  output_fields "word"
  source SimpleSpout, :shuffle
  • JRubyShellBolt
    must be used for a ShellBolt and the array argument
    ["python", ""]
    are the arguments to the class constructor and are the commands to the ShellBolt.
  • The directory containing the topology class must contain a

    directory with all the shell files.

See the shell topology example

Transactional and LinearDRPC topologies

Despite the fact that both transactional and linear DRPC topologies are now deprecated as of Storm 0.8.1 work on these has been merged in RedStorm 0.6.5. Lots of the work done on this is required toward Storm Trident topologies. Documentation and examples for transactional and linear DRPC topologies will be added shorty.

Known issues

  • SnakeYAML conflict between Storm and JRuby

See issue. This is a classic Java world jar conflict. Storm 0.9.0 uses snakeyaml 1.9 and JRuby 1.7.x uses snakeyaml 1.11. If you try to use YAML serialization in your topology it will crash with an exception. This problem is easy to solve when running topologies in local mode, simply override in the storm dependencies with the correct jar version. You can do this be creating a custom storm dependencies:

  • ivy/storm_dependencies.xml

In remote cluster mode you will have to update snakeyaml manually or with your favorite deployment/provisioning tool.

RedStorm Development

It is possible to fork the RedStorm project and run local and remote/cluster topologies directly from the project sources without installing the gem. This is a useful setup when contributing to the project.


  • JRuby 1.7.4


  • fork project and create branch

  • install RedStorm required gems

  $ bundle install
  • install dependencies in
  $ bundle exec redstorm deps
  • generate and build Java source into
  $ bundle exec redstorm build

By default, the Java compilation will use the current JVM version as source/target compilation compatibility. If you want to force a specific source/target version, use the

option. For example, to force compiling for 1.6 use:
  $ bundle exec redstorm build --1.6

if you modify any of the RedStorm Ruby code or Java binding code, you need to run this to refresh code and rebuild the bindings

  • follow the normal usage patterns to run the topology in local or remote cluster.
  $ bundle exec redstorm bundle ...
  $ bundle exec redstorm local ...
  $ bundle exec redstorm jar ...
  $ bundle exec redstorm cluster ...

Remote cluster testing

Vagrant & Chef configuration to create a single node test Storm cluster is available in

Notes about 1.8/1.9 JRuby compatibility

Ruby 1.9 is the default runtime mode in JRuby 1.7.x

If you require Ruby 1.8 support, there are two ways to have JRuby run in 1.8 runtime mode:

  • by setting the JRUBY_OPTS env variable
  $ export JRUBY_OPTS=--1.8
  • by using the --1.8 option
  $ jruby --1.8 -S redstorm ...

By defaut, a topology will be executed in the same mode as the interpreter running the

$ redstorm
command. You can force RedStorm to choose a specific JRuby compatibility mode using the [--1.8|--1.9] parameter for the topology execution in local or remote cluster.
$ redstorm local|cluster [--1.8|--1.9] ...

If you are not using the DSL and only using the proxy classes (like in

) you will need to manually set the JRuby version in the Storm
object like this:
class SomeTopology
  RedStorm::Configuration.topology_class = self

def start(base_class_path, env) builder = builder.setSpout ... builder.setBolt ...

conf =
conf.put("topology.worker.childopts", "-Djruby.compat.version=RUBY1_8")

StormSubmitter.submitTopology("some_topology", conf, builder.createTopology);

end end

How to contribute

Fork the project, create a branch and submit a pull request.

Some ways you can contribute:

  • by reporting bugs using the issue tracker
  • by suggesting new features using the issue tracker
  • by writing or editing documentation
  • by writing specs
  • by writing code
  • by refactoring code
  • ...

Projects using RedStorm

If you want to list your RedStorm project here, contact me.

  • Tweigeist - realtime computation of the top trending hashtags on Twitter. See Live Demo.


Colin Surprenant,, @colinsurprenant, [email protected],


  • Theo Hultberg,
  • Paul Bergeron,
  • Phil Pirozhkov,
  • Evan Broderm,
  • Shay Elkin,
  • adsummos,


Apache License, Version 2.0. See the file.

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.