Execute pipeline from pyspark

Question

Hi,
In serverless sql pool, I have a pyspark notebook in which I would like to execute the pipeline, pipeline1.
How is this possible?

Answer 1

Hello @arkiboys ,
Thanks for the ask and using Microsoft Q&A platform .
As we understand the ask here is to invoke a existing pipeline from pyspark . Please do let me know if that not accurate.
You can use the REST API call to the invoke the pipeline from the pyspark . The API which you will need to invoke is Pipeline - Create Pipeline Run

You will need a

1. Service prinicipal ( client ID and client secret ) and this service prinicipal should have acess on the workspace .
2. Tenantid
3. Workspace Name

It has two steps

1. Get the bearer token
2. Execute the API

https://learn.microsoft.com/en-us/rest/api/synapse/data-plane/pipeline/create-pipeline-run

The below code will return the runid of the pipeline which you are trying to invoke .

import http.client
import json
conn = http.client.HTTPSConnection("login.microsoftonline.com")
payload = 'grant_type=client_credentials&client_id={Yourclientid}&client_secret={client secret}&resource=https%3A%2F%2Fdev.azuresynapse.net%2F'
conn.request("POST"
, "/{tenantID}/oauth2/token"
, payload
, headers)
res = conn.getresponse()
data = res.read()
Response = json.loads(data)
AccessToken = Response["access_token"]

conn = http.client.HTTPSConnection("{YourWorkspace}.dev.azuresynapse.net")
payload = ''
headers = {
'Authorization': ' Bearer '+ AccessToken
}
conn.request("POST", "/pipelines/Eventtrigger/createRun?api-version=2020-12-01", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))

Please do let me if you have any queries .
Thanks
Himanshu

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