Aurora DSQL adapter for Drizzle ORM

Drizzle ORM support for Amazon Aurora DSQL.

It rides on drizzle-orm/node-postgres: the Aurora DSQL connector is a pg.Pool with IAM token authentication, so there is no custom dialect — just a thin drizzle() factory, an opt-in OCC retry helper, a DSQL-aware migrator, and a migration CLI.

Requirements

• Drizzle ORM ^0.45 and pg >=8 (peer dependencies)
• Node.js >=20
• An Aurora DSQL cluster, and AWS credentials with dsql:DbConnect for the database role you connect as

Install

npm install @aws/aurora-dsql-drizzle drizzle-orm pg
npm install -D drizzle-kit

IAM authentication and TLS are handled by the connector.

Connect

import { drizzle } from "@aws/aurora-dsql-drizzle";
import * as schema from "./schema";

const db = drizzle({
  connection: {
    host: process.env.CLUSTER_ENDPOINT!, // <id>.dsql.<region>.on.aws
    region: "us-east-1", // optional; inferred from the host otherwise
    user: "myuser", // a database role scoped to what your app needs
    options: "-c search_path=myschema",
  },
  schema,
});

const owners = await db.select().from(schema.owner);

user is required — see Using database roles and IAM authentication for creating a role granted only the privileges your application needs. There is no default, so a connection never lands on admin by omission.

Already have a pool? Pass it directly: drizzle({ client: pool, schema }), where pool is an AuroraDSQLPool (or any pg.Pool). db.$client exposes the underlying pool; call await db.$client.end() to close it.

Transactions with OCC retry

DSQL uses optimistic concurrency control: conflicting transactions fail at COMMIT with OC000 / OC001 (SQLSTATE 40001). db.transactionWithRetry re-runs the whole transaction on those conflicts.

import { sql } from "drizzle-orm";

await db.transactionWithRetry(async (tx) => {
  await tx.update(accounts).set({ balance: sql`balance - 100` }).where(...);
  await tx.update(accounts).set({ balance: sql`balance + 100` }).where(...);
});

The callback is re-run on every retry, so it must be idempotent — no side effects (emails, queue writes) that must not repeat. Keep transactions flat: a nested tx.transaction() fails fast with an explanatory error, so partial work is never mistaken for a committed savepoint.

Retry defaults are maxRetries 3, baseDelayMs 50, maxDelayMs 5000 (exponential backoff with equal jitter). Pass an optional transaction config second and retry overrides third; when retries are exhausted it throws AwsDsqlRetryExhaustedError (the last conflict is on .cause).

await db.transactionWithRetry(
  async (tx) => { await tx.insert(orders).values({ ... }); },
  { isolationLevel: "serializable" },
  { maxRetries: 5, onRetry: (err, attempt, max) => log.warn({ err, attempt, max }) },
);

Migrations

Import migrate from this package. It applies one DDL statement per transaction — matching how DSQL runs DDL — and tracks each statement individually, so use it in place of the stock drizzle-orm/node-postgres migrator, which sends every statement in a single transaction:

import { migrate, getMigrationStatus } from "@aws/aurora-dsql-drizzle";

const result = await migrate(db, { migrationsFolder: "./drizzle" });
if (!result.success) throw new Error(result.error.message);

The workflow is:

1. Generate SQL from your schema and rewrite it for DSQL:

   npx aurora-dsql-drizzle generate --out ./drizzle -- --config drizzle.config.ts

   This runs drizzle-kit generate, then rewrites each statement with dsql-lint — the Aurora DSQL linter and fixer — while preserving Drizzle's --> statement-breakpoint markers. It turns CREATE INDEX into CREATE INDEX ASYNC, rewrites SERIAL columns as BIGINT … GENERATED … AS IDENTITY (a type widening — review it), removes foreign-key constraints, and reports anything it cannot rewrite. Review and commit the result. (transform and lint subcommands run those steps on their own.)

   Keep Drizzle Kit's breakpoints: true (the default). The adapter applies one statement per marker, so a breakpoint-free file holding more than one statement is rejected with an explanatory error rather than sent as a single multi-statement transaction.

   Known limitation: the transform lints each statement separately, so a fix needing more than one statement at a time does not apply. The case to know about is ALTER COLUMN … ADD GENERATED … AS IDENTITY, which dsql-lint folds into the preceding CREATE TABLE when it sees both together; here it sees only the ALTER and reports it as unfixable. Define identity columns in the table definition, or merge the two statements by hand.

2. Apply the committed migrations at deploy time, using the migrate() call above.

   Each statement is applied on its own (autocommit) and then recorded in a tracking table, so a run interrupted partway resumes where it left off — recorded statements are skipped. Asynchronous DDL (CREATE INDEX ASYNC, ALTER TABLE ASYNC … VALIDATE CONSTRAINT) is awaited before the statement is recorded, so a failed background job is never reported as success. Conflicting statements are retried on DSQL's optimistic-concurrency errors. getMigrationStatus(db, config) reports applied vs. pending without changing anything.

   One caveat on resuming: a statement and its tracking row are separate commits. If a run dies in the gap between them, the statement is applied but untracked, and because drizzle-kit emits CREATE TABLE without IF NOT EXISTS the re-run fails with "already exists". migrate() reports which statement it was so you can reconcile the tracking table by hand.

CLI

aurora-dsql-drizzle generate [--out <dir>] [-- <drizzle-kit args>]   Generate + transform
aurora-dsql-drizzle transform [input] [-o output]                    Transform SQL for DSQL
aurora-dsql-drizzle lint [input]                                      Lint SQL for DSQL

Exit codes: 0 clean, 1 unfixable errors remain (and the adapter's own usage errors, e.g. an unknown flag), 2 usage error propagated from dsql-lint, 3 fixed with advisories (e.g. foreign keys removed — review before applying).

Example

See examples/veterinary-app for a complete project: schema, committed DSQL migration, db:migrate script, and integration tests against a live cluster.

Resources

• Amazon Aurora DSQL documentation
• Unsupported PostgreSQL features in DSQL
• Aurora DSQL connector for node-postgres
• Drizzle ORM documentation
• dsql-lint

Security

See CONTRIBUTING for more information.

License

Apache-2.0