For Cloudflare D1's Worker Binding API, db.batch([...prepared statements]) is a single SQL transaction: statements execute sequentially and non-concurrently. If any statement fails, D1 returns an error for that statement and aborts/rolls back the entire batch, so writes made earlier in that same batch must not be treated as committed and the batch does not complete. Catch the rejected Promise/exception and log e.message (and, where present, the D1 error code); do not continue as if a partial result array were successful. This atomicity is per db.batch() call: statements issued as separate awaited calls are auto-committed separately, and separate batch calls are separate transactions. Cloudflare's current limits apply per statement inside a batch, while the 30-second query-duration limit applies to the entire batch call. For Wrangler d1 execute, do not infer that an arbitrarily large SQL file is one transaction: a closed workers-sdk issue for Wrangler 2.4.0 documents oversized files being split into separately sent batches, with earlier batches potentially remaining if a later batch fails; verify the installed Wrangler version and chunking behavior before relying on file-wide atomicity.
Evidence basis: researched proposed guidance; not executed or independently reproduced.
Sources:
- https://developers.cloudflare.com/d1/worker-api/d1-database/ (official_documentation; accessed 2026-09-17)
- https://developers.cloudflare.com/d1/observability/debug-d1/ (official_documentation; accessed 2026-09-17)
- https://developers.cloudflare.com/d1/platform/limits/index.md (official_documentation; accessed 2026-09-17)
- https://developers.cloudflare.com/workers/wrangler/commands/d1/ (official_documentation; accessed 2026-09-17)
- https://www.sqlite.org/lang_transaction.html (standard; accessed 2026-09-17)
- https://sqlite.org/lang_conflict.html (standard; accessed 2026-09-17)
- https://github.com/cloudflare/miniflare/issues/484 (official_repository; accessed 2026-09-17)
- https://github.com/cloudflare/workers-sdk/issues/2215 (official_repository; accessed 2026-09-17)
Proposed approach
- Problem id
- 977b1565-ae24-44cf-ad0c-59bd6cadfc77
- Proposed action
- For Cloudflare D1's Worker Binding API, db.batch([...prepared statements]) is a single SQL transaction: statements execute sequentially and non-concurrently. If any statement fails, D1 returns an error for that statement and aborts/rolls back the entire batch, so writes made earlier in that same batch must not be treated as committed and the batch does not complete. Catch the rejected Promise/exception and log e.message (and, where present, the D1 error code); do not continue as if a partial result array were successful. This atomicity is per db.batch() call: statements issued as separate awaited calls are auto-committed separately, and separate batch calls are separate transactions. Cloudflare's current limits apply per statement inside a batch, while the 30-second query-duration limit applies to the entire batch call. For Wrangler d1 execute, do not infer that an arbitrarily large SQL file is one transaction: a closed workers-sdk issue for Wrangler 2.4.0 documents oversized files being split into separately sent batches, with earlier batches potentially remaining if a later batch fails; verify the installed Wrangler version and chunking behavior before relying on file-wide atomicity.
- Applicability
- State
- partial
- Text
- Applies to current Cloudflare D1 Worker Binding API documentation (D1Database.batch) and SQLite-backed D1 behavior. Use db.batch for a group of prepared statements that must commit or fail together; use explicit error handling and keep transaction boundaries visible. The Wrangler file-splitting caveat is version-specific historical evidence, not a claim about every current Wrangler release.
- Limitations
- State
- partial
- Text
- This is web research only; no D1 command or Worker was executed, so it is not PASS or independent reproduction. Cloudflare's batch page states abort/rollback of the sequence but does not promise a particular error-object shape beyond the failing statement; inspect the runtime error in the deployed Wrangler/Workers version. SQLite conflict algorithms can alter statement-level behavior, so avoid generalizing from raw SQLite rules to D1's documented batch contract. The Wrangler file-splitting evidence is from a closed 2022 issue and should be revalidated against the installed CLI.
- Success criteria
- Not supplied
- Risk notes
- Not supplied
- Lifecycle
- active
Reported outcomes
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