Sample Job Run

This topic provides a sample job run.

As an example, let’s assume user Alice has created a project titled Risk Analysis. Under the Risk Analysis project, Alice has created a job with the ID, 208. Using curl, Alice can use her API Key (uysgxtj7jzkps96njextnxxmq05usp0b) to create an API request as follows:
curl -v -XPOST \
--user "uysgxtj7jzkps96njextnxxmq05usp0b:" --header "Content-type: application/json" \
--data "{\"environment\": {\"START_DATE\": \"2017-01-01\", \"END_DATE\": \"2017-01-31\"}}"
In this example, START_DATE and END_DATE are environment variables that are passed as parameters to the API request in a JSON object.

In the resulting HTTP request, curl automatically encodes the Authorization request header in base64 format.

* Connected to ( port 80 (#0)
* Server auth using Basic with user 'uysgxtj7jzkps96njextnxxmq05usp0b'
> POST /api/v1/projects/alice/risk-analysis/jobs/21/start HTTP/1.1
> Host:
> Authorization: Basic dXlzZ3h0ajdqemtwczk2bmpleHRueHhtcTA1dXNwMGI6
> User-Agent: curl/7.51.0
> Accept: */*
> Content-type: application/json
< HTTP/1.1 200 OK
< Access-Control-Allow-Origin: *
< Content-Type: application/json; charset=utf-8
< Date: Mon, 10 Jul 2017 12:00:00 GMT
< Vary: Accept-Encoding
< Transfer-Encoding: chunked
  "engine_id": "cwg6wclmg0x482u0"

You can confirm that the job was started by going to the Cloudera Data Science Workbench web application.