Starting a Job Run Using Python

To start a job run using Python, Cloudera recommends using Requests, an HTTP library for Python; it comes with a convenient API that makes it easy to submit job run requests to Cloudera Data Science Workbench.

Extending the Risk Analysis example from the previous section, the following sample Python code will create an HTTP request to run the job with the job ID, 208.

Python 2

import requests
import json

HOST = ""
USERNAME = "alice"
API_KEY = "uysgxtj7jzkps96njextnxxmq05usp0b"
PROJECT_NAME = "risk-analysis"
JOB_ID = "208"

url = "/".join([HOST, "api/v1/projects", USERNAME, PROJECT_NAME, "jobs", JOB_ID, "start"])
job_params = {"START_DATE": "2017-01-01", "END_DATE": "2017-01-31"}
res =
    headers = {"Content-Type": "application/json"},
    auth = (API_KEY,""),
    data = json.dumps({"environment": job_params})

print "URL", url
print "HTTP status code", res.status_code
print "Engine ID", res.json().get('engine_id')

When you run the code, you should see output of the form:

HTTP status code 200
Engine ID r11w5q3q589ryg9o