Querying a Running Workflow

To query a running workflow, you must first create a request for the API.

Procedure
1. Create a request that looks something like this:

   ROOT_URL/processes/$processId/query?token=$token

   where

   • $processId is the process ID returned in the "run workflow" API.
   • $token is the API authentication token. This is the same as the TIBCO Data Science - Team Studio session ID. The authentication token also can be used in the header without the token query parameter. The session ID can be found at http://host:port/api/sessions.

   Note that this request should use the HTTP GET protocol.

   Sample:

   curl -i http://localhost:8080/alpinedatalabs/api/v1/json/processes/38933dd6-ecdd-4b65-b7ca-56d2bdb089be/query?token=4dcd1fa7eca1a210fb5581a8740ed8775db6b827

   Response:

   If the workflow is still running, a successful response looks like the following code:

   HTTP/1.1 200 OK
   Server: Apache-Coyote/1.1
   Content-Type: application/json;charset=UTF-8
   Content-Length: 503
   Date: Mon, 07 Apr 2014 21:30:03 GMT
    
   {"meta":{"workflowId":"43","processId":"38933dd6-ecdd-4b65-b7ca-56d2bdb089be","user":"1","state":"IN_PROGRESS"},"message":"In progress, processing node: K-Means, message:{\"analyticNodeId\":\"1396375156698\",\"analyticNodeName\":\"K-Means\",\"messageType\":\"Info\",\"timeStamp\":\"Apr 7, 2014 2:30:03 PM\",\"props\":{\"hadoop.job.id\":\"job_local_0008\",\"hadoop.job.reduce.progress\":\"0.0\",\"hadoop.job.name\":\"K-Means : AlpineKmeans_Output\",\"hadoop.job.map.progress\":\"100.0\"}}","results":""}

   If the workflow is already stopped, the response looks like the following code:

   HTTP/1.1 200 OK
   Server: Apache-Coyote/1.1
   Content-Type: application/json;charset=UTF-8
   Content-Length: 47
   Date: Mon, 07 Apr 2014 21:32:21 GMT
    
   invalid processId or workflow already stopped.