SparkPi

A python implementation of SparkPi using Flask as an HTTP interface

This application is an example tutorial for the radanalytics.io community. It is intended to be used as a source-to-image application.

Quick start

You should have access to an OpenShift cluster and be logged in with the oc command line tool.

1. Create the necessary infrastructure objects

   oc create -f https://radanalytics.io/resources.yaml

2. Launch sparkpi

   oc new-app --template oshinko-python-spark-build-dc  \
       -p APPLICATION_NAME=sparkpi \
       -p GIT_URI=https://github.com/radanalyticsio/tutorial-sparkpi-python-flask.git

3. Expose an external route

   oc expose svc/sparkpi

4. Visit the exposed URL with your browser or other HTTP tool, for example:

   $ curl http://`oc get routes/sparkpi --template='{{.spec.host}}'`
   Python Flask SparkPi server running. Add the 'sparkpi' route to this URL to invoke the app.
   
   $ curl http://`oc get routes/sparkpi --template='{{.spec.host}}'`/sparkpi
   Pi is roughly 3.140480

Optional parameter

If you would like to change the number of samples that are used to calculate Pi, you can specify them by adding the scale argument to your request , for example:

$ curl http://`oc get routes/sparkpi --template='{{.spec.host}}'`/sparkpi?scale=10
Pi is roughly 3.141749