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Standard library and deployment tools for using Python with Storm

Project description

Pyleus is a Python 2.6+ framework for developing and launching Apache Storm topologies.

Please visit our documentation.






Pyleus is a framework for building Apache Storm topologies in idiomatic Python.

With Pyleus you can:

  • define a topology with a simple YAML file

  • have dependency management with a requirements.txt file

  • run faster thanks to Pyleus’ MessagePack based serializer

  • pass options to your components directly from the YAML file

  • use the Kafka spout built into Storm with only a YAML change


From PyPI:

$ pip install pyleus


You do NOT need to install pyleus on your Storm cluster. That’s cool, isn’t it?

However, if you are going to use system_site_packages: true in your config file, you should be aware that the environment of your Storm nodes needs to match the one on the machine used for building the topology. This means you actually have to install pyleus on your Storm cluster in this case.

Try it out!

$ git clone
$ pyleus build pyleus/examples/exclamation_topology/pyleus_topology.yaml
$ pyleus local exclamation_topology.jar

Or, submit to a Storm cluster with:

$ pyleus submit -n NIMBUS_HOST exclamation_topology.jar

The examples directory contains several annotated Pyleus topologies that try to cover as many Pyleus features as possible.

Pyleus command line interface

  • Build a topology:

    $ pyleus build /path/to/pyleus_topology.yaml
  • Run a topology locally:

    $ pyleus local /path/to/topology.jar
  • Submit a topology to a Storm cluster:

    $ pyleus submit [-n NIMBUS_HOST] /path/to/topology.jar
  • List all topologies running on a Storm cluster:

    $ pyleus list [-n NIMBUS_HOST]
  • Kill a topology running on a Storm cluster:

    $ pyleus kill [-n NIMBUS_HOST] TOPOLOGY_NAME

Try pyleus -h for a list of all the available commands or pyleus CMD -h for any command-specific help.

Write your first topology

Please refer to the documentation for a more detailed tutorial.

Organize your files

This is an example of the directory tree of a simple topology:

|-- my_first_topology/
|   |--
|   |--
|   |--
|-- pyleus_topology.yaml
|-- requirements.txt

Define the topology layout

A simple pyleus_topology.yaml should look like the following:

name: my_first_topology


    - spout:
        name: my-first-spout
        module: my_first_topology.dummy_spout

    - bolt:
        name: my-first-bolt
        module: my_first_topology.dummy_bolt
            - shuffle_grouping: my-first-spout

This defines a topology where a single bolt subscribes to the output stream of a single spout. As simple as it is.

Write your first spout

This is the code implementing

from pyleus.storm import Spout

class DummySpout(Spout):

    OUTPUT_FIELDS = ['sentence', 'name']

    def next_tuple(self):
        self.emit(("This is a sentence.", "spout",))

if __name__ == '__main__':

Write your first bolt

Let’s now look at

from pyleus.storm import SimpleBolt

class DummyBolt(SimpleBolt):

    OUTPUT_FIELDS = ['sentence']

    def process_tuple(self, tup):
        sentence, name = tup.values
        new_sentence = "{0} says, \"{1}\"".format(name, sentence)
        self.emit((new_sentence,), anchors=[tup])

if __name__ == '__main__':

Run your topology

Run the topology on your local machine for debugging:

pyleus build my_first_topology/pyleus_topology.yaml
pyleus local --debug my_first_topology.jar

When you are done, hit C-C.

Configuration File

You can set default values for many configuration options by placing a .pyleus.conf file in your home directory:





Pyleus is licensed under the Apache License, Version 2.0:

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