In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Create custom Databricks and QuintaDB workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
List clusters
Retrieve a list of all the clusters in your Databricks workspace.
Create cluster
Creates a cluster with the specified Databricks Runtime version and cluster node type.
Delete cluster
Permanently deletes a cluster from your Databricks workspace.
Delete cluster
Permanently deletes the cluster with the specified cluster ID from the workspace.
Create cluster
Creates a new cluster in the Databricks workspace.
Create job
Creates a Databricks job that runs the specified notebook on the specified cluster.
Create directory
Creates an empty folder in a volume.
Upload file
Uploads a file to a volume.
List directory contents
Lists the contents of a volume.
Delete file
Deletes a file from a volume.
Delete directory
Deletes a folder from a volume.
List groups
Lists the display names for all of the available groups within the Databricks account.
To set up Databricks integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Databricks to query the data you need using the API endpoint URLs you provide.
See the example hereThese API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Databricks official documentation to get a full list of all API endpoints and verify the scraped ones!
Get All databases
Retrieve a list of all databases.
Get Database by ID
Fetch information of a specific database using its ID.
Get database
Fetch database information by name.
Update database
Update an existing database by its identifier.
Create database
Create a new database with a specified name and form name.
Create database
Creates a new database with the specified name and form.
List forms
Fetches all database forms associated with a specific APP_ID.
Get entity
Fetch form information by form ID.
Delete form
Removes a specified form from the application.
Create Form
Creates a new form within the specified application.
Get Field by Name
Fetches the properties of a specific field by name from the entity.
Update field
Update the settings of a specific field in an entity.
Create entity property
Creates a property for a specified entity using JSON format.
Get total by column
Retrieves the total of a specific column for a given entity based on the field ID using JSON format.
Get record
Fetch a specific record using its ID.
Search entities
Fetch form information by database name and form name in JSON format.
Fetch all fields
Retrieve properties of all form fields.
Get field by ID
Retrieve properties of a specific field using its ID.
Run action
Executes a specific action on the property ID.
Fetch all records
Fetches all records for a specified app ID and entity ID.
Update record
Updates an existing record with provided values.
Update multiple records
Updates multiple records in a table or report based on specified identifiers.
To set up QuintaDB integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to QuintaDB to query the data you need using the API endpoint URLs you provide.
See the example hereThese API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the QuintaDB official documentation to get a full list of all API endpoints and verify the scraped ones!
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