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How obtain a list of workflows in Databricks?

VabethRamirez
New Contributor II

I need to obtain a list of my Databricks workflows with their job IDs in a notebook Databricks

1 ACCEPTED SOLUTION

Accepted Solutions

shan_chandra
Databricks Employee
Databricks Employee

@VabethRamirez - Please find the below code snippet. Kindly modify according to your needs.

import requests, json

# Set the Databricks API URL. <eg. dbi.databricks.cloud.com>
api_url = 'https://<URL>/api/2.1'

# Set the Databricks token
token = '<API token>'

# Get a list of all jobs
jobs_endpoint = f"{api_url}/jobs/list"

headers = {
    'Authorization': f"Bearer {token}",
    'Content-Type': 'application/json'
}

response = requests.get(jobs_endpoint, headers=headers)

if response.status_code == 200:
    # Extract the list of jobs
    jobs = response.json()['jobs']
    
    # Print the job names and IDs
    for job in jobs:
        print(f"Job ID: {job['job_id']}, Job Name: {job['settings']['name']}")
else:
    print(f"Failed to retrieve jobs. Status Code: {response.status_code}")

 

View solution in original post

5 REPLIES 5

Lakshay
Databricks Employee
Databricks Employee

shan_chandra
Databricks Employee
Databricks Employee

@VabethRamirez - Please find the below code snippet. Kindly modify according to your needs.

import requests, json

# Set the Databricks API URL. <eg. dbi.databricks.cloud.com>
api_url = 'https://<URL>/api/2.1'

# Set the Databricks token
token = '<API token>'

# Get a list of all jobs
jobs_endpoint = f"{api_url}/jobs/list"

headers = {
    'Authorization': f"Bearer {token}",
    'Content-Type': 'application/json'
}

response = requests.get(jobs_endpoint, headers=headers)

if response.status_code == 200:
    # Extract the list of jobs
    jobs = response.json()['jobs']
    
    # Print the job names and IDs
    for job in jobs:
        print(f"Job ID: {job['job_id']}, Job Name: {job['settings']['name']}")
else:
    print(f"Failed to retrieve jobs. Status Code: {response.status_code}")

 

VabethRamirez
New Contributor II
I managed to solve it with this solution
# Importar la biblioteca de Databricks
from databricks_api import DatabricksAPI
# Configurar el token de acceso a la API de Databricks
token = "<token>"
host = "<url_your_databricks_host>"

 

# Crear una instancia de la API de Databricks
db = DatabricksAPI(host=host, token=token)

 

# Obtener una lista de todos los workflows en Databricks
jobs_list = jobs['jobs']

 

# Iterar sobre los trabajos y obtener informaciรณn detallada, incluyendo Job ID
for job in jobs_list:
    job_id = job['job_id']
    job_name = job['settings']['name']
    print(f"Job Name: {job_name}, Job ID: {job_id}")






 

Thank you for sharing!

artsheiko
Databricks Employee
Databricks Employee

Hi @VabethRamirez ,

Also, instead of using directly the API, you can use databricks Python sdk : 

%pip install databricks-sdk --upgrade
dbutils.library.restartPython()
from databricks.sdk import WorkspaceClient

w = WorkspaceClient()
job_list = w.jobs.list(expand_tasks=False)

 Additional examples : https://github.com/databricks/databricks-sdk-py/tree/main/examples 

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