The Databricks Query API is a powerful tool that enables programmatic interaction with queries and results within Databricks. It offers the following capabilities:

1. Query Management:
   • Create new query definitions: Define SQL queries against your Databricks SQL warehouses.
   • Get a list of queries: Retrieve details like query names, creation times, and runtimes for existing queries.
2. Query Execution:
   • Run queries: Execute your defined SQL queries on your designated SQL warehouses.
   • Get query results: Access and retrieve the results generated by your executed queries.

Essential Resources to Get Started:

• REST API Reference: https://docs.databricks.com/api/workspace/introduction
• Queries/Results API: [invalid URL removed]
• Statement Execution API: Run SQL on warehouses: https://docs.databricks.com/en/dev-tools/sql-execution-tutorial.html

Common Use Cases:

• Automation: Automate the execution and retrieval of query results for regular reporting or data analysis tasks.
• Integration: Integrate Databricks with other tools and platforms to create a seamless workflow.
• Custom Applications: Build custom applications that leverage the Databricks Query API to interact with data.

Getting Started:

1. Obtain a Databricks personal access token: You can generate one within your Databricks workspace.
2. Construct the API request: Determine the endpoint for the specific operation (e.g., create, list, run, get results) and include necessary parameters and authentication.
3. Send the API request: You can use any HTTP client (e.g., curl or requests library) to send the request.
4. Parse the API response: The response will be in JSON format. Use a JSON parser to extract the relevant information.

Example (Using curl):

Bash

curl -X POST \
https://<databricks-instance>/api/2.1/queries/create \
-H ‘Authorization: Bearer <your-personal-access-token>’ \
-H ‘Content-Type: application/json’ \
-d ‘{
“name”: “My Query”,
“query”: “SELECT * FROM my_table”,
“data_source_id”: “<your-sql-warehouse-id>”
}’