BlockQueue

A durable, embeddable fan-out queue for Go, backed by SQLite or PostgreSQL.

BlockQueue stores one canonical message and creates one independently leased delivery for every subscriber. Use it as an imported Go package or run the optional HTTP service for cross-language clients.

flowchart LR
P["Publisher"] --> T["Topic: orders"]
T --> M[("Canonical message")]
M --> D1["payment delivery"]
M --> D2["email delivery"]
M --> D3["analytics delivery"]
D1 --> W1["payment workers"]
D2 --> W2["email workers"]
D3 --> W3["analytics workers"]

Loading

Why BlockQueue:

• SQLite first: embed a durable queue without operating another service.
• PostgreSQL scale-out: coordinate claims and schedules across processes.
• Real fan-out: every subscriber owns independent retry and completion state.
• Transactional APIs: commit application rows with publish or completion.
• HTTP included: expose the same queue model to non-Go applications.

Turso/libSQL support is experimental. Delivery is at least once; handlers must be idempotent unless their database side effect and completion share one transaction.

Install

go get github.com/yudhasubki/blockqueue

The standalone server is optional:

go build -o blockqueue ./cmd/blockqueue

Quick start

This complete example creates one topic, publishes durably, claims the subscriber delivery, and ACKs the exact lease that was returned:

package main
import (
"context""log""time""github.com/yudhasubki/blockqueue""github.com/yudhasubki/blockqueue/store/sqlite"
)
funcmain() {
ctx:=context.Background()
driver, err:=sqlite.Open("queue.db", sqlite.Config{})
iferr!=nil {
log.Fatal(err)
}
queue:=blockqueue.New(driver, blockqueue.Options{})
iferr:=queue.Run(ctx); err!=nil {
log.Fatal(err)
}
deferqueue.Close()
topic:=blockqueue.NewTopic("orders")
subscriber:=blockqueue.NewSubscriber(topic, "fulfillment", blockqueue.SubscriberOptions{
MaxAttempts: 5,
VisibilityDuration: "30s",
})
iferr:=queue.CreateTopic(ctx, topic, blockqueue.Subscribers{subscriber}); err!=nil {
log.Fatal(err)
}
receipt, err:=queue.Publish(ctx, topic, blockqueue.Message{
Message: `{"order_id":"1022"}`,
IdempotencyKey: "order-1022",
})
iferr!=nil {
log.Fatal(err)
}
log.Printf("persisted %s", receipt.MessageID)
deliveries, err:=queue.ClaimWait(ctx, topic, subscriber.Name, 10, time.Minute)
iferr!=nil {
log.Fatal(err)
}
for_, delivery:=rangedeliveries {
log.Printf("processing %s", delivery.Message)
iferr:=queue.AckDelivery(
ctx, topic, subscriber.Name, delivery.ID, delivery.ReceiptToken,
); err!=nil {
log.Fatal(err)
}
}
}

Publish waits for the canonical message and complete subscriber fan-out to commit. Use PublishAsync only when process-local admission is sufficient.

Managed Go workers

The worker package handles claim loops, bounded concurrency, heartbeats, panic recovery, retry, batched completion, and graceful drain:

typeFulfillOrderstruct {
OrderIDstring`json:"order_id"`
}
runner, err:=worker.NewJSON(
queue,
topic,
subscriber.Name,
worker.TypedHandlerFunc[FulfillOrder](func(
ctx context.Context,
job*worker.TypedJob[FulfillOrder],
) error {
returnfulfill(ctx, job.Args.OrderID)
}),
worker.Options{Concurrency: 16},
)
iferr!=nil {
log.Fatal(err)
}
iferr:=runner.Run(ctx); err!=nil {
log.Fatal(err)
}

Run several topic/subscriber workers under one lifecycle with worker.Group:

group, err:=worker.NewGroup(paymentWorker, emailWorker, analyticsWorker)
iferr!=nil {
log.Fatal(err)
}
iferr:=group.Run(ctx); err!=nil {
log.Fatal(err)
}

Each worker keeps its own concurrency limit. A terminal error from one worker cancels and drains its peers; cancelling ctx gracefully drains the whole group. For the same subscriber, prefer one worker with higher Concurrency.

Returning nil ACKs the job. Returning an error NACKs it using the subscriber retry policy. Use worker.RetryAfter for one custom delay and worker.CancelJob for a permanent outcome. See the runnable worker example.

Transactional completion

When application tables and BlockQueue share the same database, Job.CompleteTx commits the business update and ACK together:

returnjob.CompleteTx(ctx, nil, func(tx*sql.Tx) error {
_, err:=tx.ExecContext(ctx,
"UPDATE orders SET fulfilled_at = ? WHERE id = ?",
time.Now().UTC(), job.Args.OrderID,
)
returnerr
})

If that transaction rolls back, both the update and ACK roll back. Producer PublishTx provides the same atomic boundary for inserting application data and publishing later work. The consumer still runs in a separate transaction after publish commits.

See Concepts and the runnable transactional example. Remote HTTP requests cannot join a caller's database transaction; use the documented outbox pattern.

HTTP service

Copy config.yaml.example, then start the server:

./blockqueue migrate -config config.yaml
./blockqueue http -config config.yaml

Create a topic and publish durably:

curl -X POST http://127.0.0.1:8080/v1/topics \
-H 'Content-Type: application/json' \
-d '{ "name":"orders", "subscribers":[{ "name":"fulfillment", "option":{"max_attempts":5,"visibility_duration":"30s"} }] }'
curl -X POST \
'http://127.0.0.1:8080/v1/topics/orders/messages?wait_for=commit' \
-H 'Content-Type: application/json' \
-d '{"message":"order-1022","idempotency_key":"order-1022"}'

HTTP publish is async by default and returns 202. Add ?wait_for=commit when the response must imply a committed message and fan-out. The OpenAPI 3.1 contract is served at /openapi.json; errors use application/problem+json.

The binary binds to 127.0.0.1 by default. Public deployments need an authenticated reverse proxy or private network.

Capabilities

Area	Included
Publish	Durable/async batch publish, idempotency, priority, headers, delay, absolute scheduling
Delivery	Receipt leases, ACK, NACK, heartbeat, snooze, cancellation, DLQ and replay
Scheduler	Five-field cron, IANA timezone, misfire recovery, overlap policy, run history
Transactions	Publish and delivery completion with application rows in the same database
Operations	/livez, /readyz, dashboard, Prometheus metrics, bounded retention and maintenance
API	Importable Go packages and an HTTP /v1 contract with cursor pagination

Storage

Backend	Status	Coordination	Strict default
SQLite	Supported	Embedded, single coordinated writer	WAL + synchronous=FULL
PostgreSQL	Supported	Multi-process claims and scheduler leases	TLS + synchronous_commit=on
Turso/libSQL	Experimental	Smoke-test scope	Backend dependent

The database is authoritative. In-memory wakeups and PostgreSQL notifications only reduce latency. store.DurabilityBalanced is an explicit performance tradeoff and can lose the newest acknowledged writes after power loss or failover.

Documentation

Read	When you need
Concepts	Topic fan-out, delivery leases, transactions, topology, worker groups, and maintenance
Architecture	Packages, locking, persistence, and multi-node algorithms
HTTP outbox	Atomic business writes for remote HTTP publishers
Benchmarks	Reproducible SQLite/PostgreSQL performance and acceptance runs
Changelog	Release features, fixes, and explicitly documented breaking changes

There is one queue engine and one current HTTP contract at /v1. BlockQueue is pre-1.0; minor releases can contain explicitly documented breaking changes. The root package, worker, httpapi, store/sqlite, and store/postgres are supported APIs. store/turso remains experimental.

Development

go test ./...
go test -race ./...
go vet ./...

CI runs the shared SQLite/PostgreSQL contract suite, race detector, lint, staticcheck, vulnerability checks, and guarded benchmark smoke tests.

Report vulnerabilities through private vulnerability reporting. BlockQueue is licensed under the Apache License 2.0.