You may need to change the brower or clear the cache or open your browser's Developer Toolsand go to the Network page Reload the Databricks page. Check if there are any failed network requests, especially those associated with fetching job runs. Any errors here could give a clue as to what's going wrong.
You can also use the Databricks REST API to fetch job runs :
import requests
DOMAIN = '<YOUR-DATABRICKS-WORKSPACE-DOMAIN>'
TOKEN = 'Bearer <YOUR-PERSONAL-ACCESS-TOKEN>'
response = requests.get(
f'https://{DOMAIN}/api/2.0/jobs/runs/list',
headers={'Authorization': TOKEN}
)
runs = response.json()['runs']
for run in runs:
print(run['job_id'], run['start_time'])
You can also check the logs of any clusters that were running these jobs. Sometimes, issues can arise from cluster-side errors that propagate to the UI.
As a last resort, try restarting your Databricks workspace. Sometimes, a simple restart can resolve unexplained glitches.
If the problem persists don't hesitate to contact the support team.