Lambda Modules¶
Enterprise Edition
omega|ml supports execution of arbitrary modules packaged by pip on the runtime cluster. This is the equivalent of AWS Lambda with the added bonus of having the full set of omega|ml capabilities available to your modules.
Writing a Lambda Module¶
Creating a Lambda Module is straight forward:
write your code
add
setup.py
use
om.scripts.put()
to deploy the package
To make your code executable through the REST API or in om.runtime.script
your
code’s top-level package must contain a run()
method:
def run(*args, **kwargs):
...
kwargs
will contain the key/value pair passed to the module on execution.
The simplest setup.py
is as simple as follows (:
from distutils.core import setup
setup(name='helloworld', version='1.0',
description='simple omegaml hello world script', author='omegaml',
author_email='info@omegaml.io', url='http://omegaml.io',
packages=['helloworld'],)
Deploying a module¶
To deploy a Lambda module use om.scripts.put()
:
om.scripts.put('pkg://path/to/helloworld`, 'helloworld')
This will build the package and store it in omega|ml. It is automatically
available for execution using the REST API or om.runtime.script()
.
Executing a module¶
Using the REST API¶
Use the /api/script/
REST API to execute a module:
POST /api/script/hellworld/?param=value
=>
{
'script': 'helloworld'
'kwargs': { 'param': value },
'result': <result>,
'runtime': <microseconds>,
'started': 'datetime in iso 8601 format',
}
Using the runtime API¶
Use the om.runtime.script(<name>)
API to run a module on the cluster:
result = om.runtime.script('helloworld').run(foo='bar')
result.get()
=>
{
'script': 'helloworld'
'kwargs': { 'foo': 'bar' },
'result': <result>,
'runtime': <microseconds>,
'started': 'datetime in iso 8601 format',
}