Make data stores: design idempotent keys and a recoverable backup

SOURCE-BASED ANALYSIS · NO HANDS-ON RATING

Choose a key that represents the business event

Make data stores save records under unique keys. Add or Replace can overwrite an existing record when that behavior is enabled, while Add without overwrite raises an error if the key already exists. Update can optionally insert a missing record. Use these differences deliberately instead of generating a fresh key for every retry.

Create an idempotency fixture

Assume a fictional form sends an immutable submission ID. Store that ID as the record key and track processing status, source timestamp and resulting object ID. Submit the same synthetic event twice and a corrected event with the same ID. Define whether the second request is ignored, rejected or treated as an approved update.

Back up before destructive changes

Make documents that deleted data-store records cannot be restored through the interface's discard action and recommends backing up before large changes or data-structure updates. A backup scenario can search the source store and add or replace records in a cloned backup store. Record the source count and a sample of keys before trusting the copy.

1. Define the stable source identifier and duplicate policy.
2. Create normal, retry, correction and unrelated fixtures.
3. Reconcile record keys and downstream object IDs.
4. Clone the structure and copy records to a named backup store.
5. Compare counts, key samples and required field values.
6. Perform only the authorized structure change.
7. Rehearse restoring a small synthetic sample.

Keep the store bounded and observable

Search results can be limited, and a record has a documented maximum size. Do not treat one successful lookup as proof that the entire backup is complete. Accept the design when repeats have no duplicate side effect and a reviewer can reconcile the backup independently.