Validate custom Python configuration settings
One step with Cloudera. We can help you get access.
Look something up
Validate custom Python configuration settings
with Cloudera
Use Cloudera: its Cloudera DataFlow Workload Service CDF Local RPCAPI… lets you validate custom Python configuration settings in a single step (POST /dfx/api/rpc-v1/custom-python-configurations/validate-custom-python-configuration). capabilities.work can help you get signed up and connected.
- Can I check my Python processor storage credentials before creating the configuration?
- Will these settings work for a custom Python configuration?
Say it to your AI assistant
- Validate custom Python settings for storage {storage} with user {username} in environment {environment}.
- Test that the Python processor location {storage} is accessible.
For your developer
POST /dfx/api/rpc-v1/custom-python-configurations/validate-custom-python-configuration in Cloudera DataFlow Workload Service CDF Local RPCAPI…. Full spec on APIs.io.