snowflake-api

You can run SQL statements against Snowflake using the SQL API by submitting single or multi-statement requests with the correct session context, bindings, and timeout controls. The skill handles authentication headers and request bodies automatically.

Asynchronous query execution in Snowflake submits statements and returns a statement handle for polling. The skill retrieves results from existing handles, fetches partitioned pages, and recovers results after asynchronous jobs complete.

Yes, you can browse Snowflake databases, schemas, tables, columns, and warehouses through SQL-based SHOW and INFORMATION_SCHEMA queries. The skill executes these catalog browsing workflows to inspect metadata and warehouse configurations.

Yes, you need curl and jq installed to execute Snowflake API queries. The skill relies on these dependencies to submit HTTP requests, process JSON responses, and handle Snowflake API requirements for authentication and result fetching.

The best way to cancel running Snowflake statements and handle rate limits is through operational control features. The skill manages request idempotency, cancels running queries, and safely handles errors and rate limits during query execution.

Snowflake SQL API returns partitioned results to manage large datasets efficiently. The skill fetches inline results and partitioned pages from existing statement handles, retrieving all data segments through the SQL API partitioned result fetching mechanism.