SQL savepoint rollback
A savepoint is a boundary inside a transaction. Savepoint Arc is a Windows AI coding workspace for inspecting SQL sequences with a compatible model and checking which changes remain visible before the final commit or rollback.
CREATE TEMP TABLE entries (id INTEGER);
BEGIN;
INSERT INTO entries VALUES (1);
SAVEPOINT item;
INSERT INTO entries VALUES (2);
ROLLBACK TO item;
RELEASE item;
SELECT id FROM entries;
ROLLBACK;- Project
- Release the savepoint and then roll back the outer transaction, checking that release did not commit the remaining row.
- Review before applying
- Compare actual behavior with the expected result. If a check fails, investigate it before applying more changes.
- Connection
- Base URL, credentials and a reachable server.
CREATE TEMP TABLE entries (id INTEGER);
BEGIN;
INSERT INTO entries VALUES (1);
SAVEPOINT item;
INSERT INTO entries VALUES (2);
ROLLBACK TO item;
RELEASE item;
SELECT id FROM entries;
ROLLBACK;Review the failure path before changing transaction code
Transaction code deserves a review that follows both successful work and partial failure. Savepoint Arc is a Windows AI coding workspace for putting that discussion beside the project files. Open the application folder and ask the connected model to inspect the SQL sequence, its caller and the expected outcome before it proposes a change.
For an import operation, a useful request might examine whether one rejected item should undo the whole batch or only work after a savepoint. Supply the relevant statements and explain the policy your application needs. Ask the assistant to connect each proposed rollback or release to that policy rather than infer it from the presence of a transaction.
Test the resulting proposal against observable database state. In a disposable test environment, run the successful case and a failure between statements, then inspect which rows remain visible and what the caller receives. Review the application code as well as the SQL, since handling an exception incorrectly can invalidate an otherwise sensible transaction sequence.
Choose a supported OpenAI-compatible or Anthropic endpoint for the conversation. An abliterated AI model is an available selection only where your configured service provides it, with restrictions and capabilities determined there. Savepoint Arc provides the workspace for inspecting edits; database behavior still needs verification against your engine and project.
Questions about transaction boundaries
- What should I explain about a partial import failure?
State whether earlier accepted items should remain, whether the entire import must be atomic and what error the caller should see. Those decisions determine the intended boundary; the model should not choose a transaction policy from SQL syntax alone.
- Can a savepoint test replace checking the application caller?
No. The caller may retry, catch an exception or issue additional statements after the SQL sequence. Include that code in the review and verify its response to failure, especially when the final commit happens outside the shown function.
- Where should I try a proposed rollback change?
Use a disposable test database with representative fixtures and the same engine behavior your project depends on. Inspect the resulting rows and transaction outcome. Do not treat a model’s walkthrough as evidence that statements executed successfully.
- Should retry logic be added while changing savepoints?
Only with an explicit requirement and a review of whether repeating the operation is safe. Keep retries separate from a boundary correction when possible, so the effect of each change remains understandable and testable.
Savepoint Arc · Updated 2026-10-25
