Database Extract API

A focused use case

Deliver a controlled reporting view to an analytics consumer while excluding columns and rows outside the approved purpose.

A practical workflow

Define the dataset and privileges, choose snapshot or incremental semantics, and map database types into the delivery contract. Reconcile accepted records with the destination and keep retries distinguishable from new observations.

An example record contract

These fields illustrate the decisions to make before implementation. Adapt the names and required values to the receiving system; the table is not a promise of a live endpoint or a provider-specific response.

Limits worth keeping visible

Read-only queries can still create load or expose sensitive information. Limit privileges, columns, and workloads, and test type conversions through the receiving system.

Before increasing the workload

Run a small, authorized test set through the whole path, including the receiving application. Keep accepted, rejected, and incomplete outcomes distinguishable. A result should retain the context needed to explain its meaning after it leaves the extractor.

Continue with SQL Extract API: Controlled Queries, Dependable Exports for the full implementation discussion, and use the sample contract documentation to review the shape of a handoff.