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@spilne/perfect-postgres

v0.2.0

Published

Postgres coordination backends for @spilne/perfect-core — pgmq + SKIP LOCKED queues, LISTEN/NOTIFY change streams, distributed rate limiting, leader election, durable state.

Readme

@spilne/perfect-postgres

PostgreSQL adapters for Perfect: PGMQ and SKIP LOCKED queues, change streams, coordination primitives, and durable topology state.

bun add @spilne/perfect-postgres drizzle-orm postgres

Not yet published to npm — install from the workspace for now.

Atomic topology delivery

PgPartitionedStateBackend stores state by topology, stage, and partition. It uses expiring owner leases and monotonically increasing fencing epochs, and commits state mutations, source progress, checkpoints, and source-record deduplication under a row lock.

processedRetentionMs can bound the deduplication table. Keep it at least as long as the source system can replay a record; a shorter window weakens duplicate suppression after old records are redelivered.

PgmqQueue exposes transactional source envelopes and sinks. When the input queue, output queue, and PgPartitionedStateBackend use the same Drizzle database object, @spilne/perfect-topology accepts deliveryGuarantee: "exactly-once" and performs output publication, state/progress persistence, and source delete/archive in one PostgreSQL transaction.

import { ConsumerGroup, StreamTopology, TopologyRunner } from "@spilne/perfect-topology";
import { PgPartitionedStateBackend } from "@spilne/perfect-postgres";
import { PgmqQueue } from "@spilne/perfect-postgres/pgmq";

const state = new PgPartitionedStateBackend({ db });
await state.ensureTables();

const input = await PgmqQueue.create<{ n: number }>(db, "input");
const output = await PgmqQueue.create<{ n: number }>(db, "output");
const topology = StreamTopology.source(input)
  .map(({ n }) => ({ n: n * 2 }))
  .to(output);

const handle = await TopologyRunner.run(topology, {
  group: ConsumerGroup("doubler"),
  partitionedStateBackend: state,
  deliveryGuarantee: "exactly-once",
});

For Kafka, Redis Streams, or mixed connector domains, use the default "at-least-once" mode and make the sink idempotent. Perfect rejects "exactly-once" when the source, sink, and state backend cannot prove that they share one transaction domain.

Other adapters

  • PgQueueSKIP LOCKED work queue
  • PgChangeStream — LISTEN/NOTIFY with polling replay fallback
  • PgRateLimiter, PgThrottle, PgSingleflight, PgRef
  • PgLeaderElection — session advisory-lock leadership
  • PgStateBackend / PgPartitionedStateBackend — durable stream/topology state

See Redis and PostgreSQL backends and Stateful topologies.