SQL Extract API

A focused use case

Export approved order rows into a reporting dataset without accidentally including new sensitive columns or duplicating rows during recovery.

A practical workflow

Keep query structure under application control, parameterize supported values, and define a stable ordering. Track snapshot meaning, incremental checkpoints, rejected rows, and delivery acknowledgment separately.

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

An arbitrary SQL input is not a safe export contract. Server-side file export and client-side delivery also have different execution contexts and privileges.

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.