psqlqueue

Simple queue system powered by Golang and PostgreSQL.
quickstart
The idea of this service is to offer a simple queuing system using PostgreSQL as a backend.
First, we need a PostgreSQL database, for this, we will use docker:
docker run --name postgres-psqlqueue \
--restart unless-stopped \
-e POSTGRES_USER=psqlqueue \
-e POSTGRES_PASSWORD=psqlqueue \
-e POSTGRES_DB=psqlqueue \
-p 5432:5432 \
-d postgres:15-alpine
Now let's run the database migrations before starting the server:
docker run --rm \
-e PSQLQUEUE_DATABASE_URL='postgres://psqlqueue:[email protected]:5432/psqlqueue?sslmode=disable' \
quay.io/allisson/psqlqueue migrate
{"time":"2023-12-29T21:11:39.516360369Z","level":"INFO","msg":"migration process started"}
{"time":"2023-12-29T21:11:39.54908151Z","level":"INFO","msg":"migration process finished"}
Starting the server:
docker run --rm \
-e PSQLQUEUE_DATABASE_URL='postgres://psqlqueue:[email protected]:5432/psqlqueue?sslmode=disable' \
-p 8000:8000 \
quay.io/allisson/psqlqueue server
{"time":"2023-12-29T21:14:30.898080659Z","level":"INFO","msg":"http server starting","host":"0.0.0.0","port":8000}
For creating a new queue we have these fields:
- "id": The identifier of this new queue.
- "ack_deadline_seconds": The maximum time before the consumer should acknowledge the message, after this time the message will be delivered again to consumers.
- "message_retention_seconds": The maximum time in which the message must be delivered to consumers, after this time the message will be marked as expired.
- "delivery_delay_seconds": The number of seconds to postpone the delivery of new messages to consumers.
curl --location 'http://localhost:8000/v1/queues' \
--header 'Content-Type: application/json' \
--data '{
"id": "my-new-queue",
"ack_deadline_seconds": 30,
"message_retention_seconds": 1209600,
"delivery_delay_seconds": 0
}'
{
"id": "my-new-queue",
"ack_deadline_seconds": 30,
"message_retention_seconds": 1209600,
"delivery_delay_seconds": 0,
"created_at": "2023-12-29T21:30:58.682194763Z",
"updated_at": "2023-12-29T21:30:58.682194763Z"
}
For creating a new message we have these fields:
- "body": The body of the message.
- "label": A label that allows this message to be filtered.
- "attributes": The message attributes.
curl --location 'http://localhost:8000/v1/queues/my-new-queue/messages' \
--header 'Content-Type: application/json' \
--data '{
"body": "message body",
"label": "my-label",
"attributes": {"attribute1": "attribute1", "attribute2": "attribute2"}
}'
For consuming the messages we have these filters:
- "label": To filter by the message label.
- "limit": To limit the number of messages.
curl --location 'http://localhost:8000/v1/queues/my-new-queue/messages?limit=1'
{
"data": [
{
"id": "01HJVRCQVAD9VBT10MCS74T0EN",
"queue_id": "my-new-queue",
"label": "my-label",
"body": "message body",
"attributes": {
"attribute1": "attribute1",
"attribute2": "attribute2"
},
"delivery_attempts": 1,
"created_at": "2023-12-29T21:41:25.994731Z"
}
],
"limit": 1
}
Now you have 30 seconds to execute the ack or nack for this message, first we can do the nack:
curl --location --request PUT 'http://localhost:8000/v1/queues/my-new-queue/messages/01HJVRCQVAD9VBT10MCS74T0EN/nack' \
--header 'Content-Type: application/json' \
--data '{
"visibility_timeout_seconds": 30
}'
Now we need to wait 30 seconds before consuming this message again, after this time:
curl --location 'http://localhost:8000/v1/queues/my-new-queue/messages?limit=1'
{
"data": [
{
"id": "01HJVRCQVAD9VBT10MCS74T0EN",
"queue_id": "my-new-queue",
"label": "my-label",
"body": "message body",
"attributes": {
"attribute1": "attribute1",
"attribute2": "attribute2"
},
"delivery_attempts": 2,
"created_at": "2023-12-29T21:41:25.994731Z"
}
],
"limit": 1
}
Now it's time to ack the message:
curl --location --request PUT 'http://localhost:8000/v1/queues/my-new-queue/messages/01HJVRCQVAD9VBT10MCS74T0EN/ack'
Let's try to consume the messages again:
curl --location 'http://localhost:8000/v1/queues/my-new-queue/messages/?limit=1'
{
"data": [],
"limit": 1
}
After the ack, the message remains in the database marked as expired, to remove expired messages we can use the cleanup endpoint:
curl --location --request PUT 'http://localhost:8000/v1/queues/my-new-queue/cleanup'
This is the basics of using this service, I recommend that you check the swagger documentation at http://localhost:8000/v1/swagger/index.html to see more options.