rabbitmq-stream-js-client
v0.3.1
Published
Rabbit stream client for JS/TS application
Downloads
990
Readme
RabbitMQ client for the stream protocol for Node.JS
Table of Contents
Overview
A client for the RabbitMQ stream protocol, written (and ready for) Typescript
Installing via NPM
npm install rabbitmq-stream-js-client
Getting started
A quick getting started
const rabbit = require("rabbitmq-stream-js-client")
async function main() {
const client = await rabbit.connect({
hostname: "localhost",
port: 5552,
username: "rabbit",
password: "rabbit",
vhost: "/",
})
await client.close()
}
main()
.then(() => console.log("done!"))
.catch((res) => console.log("ERROR ", res))
Usage
Connect
const client = await connect({
hostname: "localhost",
port: 5552,
username: "rabbit",
password: "rabbit",
vhost: "/",
})
// ...
await client.close()
Connect through TLS/SSL
const client = await connect({
hostname: "localhost",
port: 5552,
username: "rabbit",
password: "rabbit",
vhost: "/",
ssl: {
key: "<client_private_key>",
cert: "<client_certificate>",
ca: "<ca>", // Optional
},
})
// ...
await client.close()
Basic Publish
const client = await connect({
hostname: "localhost",
port: 5552,
username: "rabbit",
password: "rabbit",
vhost: "/",
})
const publisher = await client.declarePublisher({
stream: "stream-name",
publisherRef: "my-publisher",
})
await publisher.send(Buffer.from("my message content"))
// ...
await client.close()
Sub Batch Entry Publishing
const client = await connect({
hostname: "localhost",
port: 5552,
username: "rabbit",
password: "rabbit",
vhost: "/",
})
const publisher = await client.declarePublisher({
stream: "stream-name",
publisherRef: "my-publisher",
})
const messages = [
{ content: Buffer.from("my message content 1") },
{ content: Buffer.from("my message content 2") },
{ content: Buffer.from("my message content 3") },
{ content: Buffer.from("my message content 4") },
]
await publisher.sendSubEntries(messages)
/*
It is also possible to specify a compression when sending sub entries of messages:
e.g: await publisher.sendSubEntries(messages, CompressionType.Gzip)
The current values for the compression types are CompressionType.None or CompressionType.Gzip
*/
await client.close()
Basic Consuming
const client = await connect({
hostname: "localhost",
port: 5552,
username: "rabbit",
password: "rabbit",
vhost: "/",
})
const consumerOptions = { stream: "stream-name", offset: Offset.next() }
/*
When creating a consumer the offset and the stream name are mandatory parameters.
The offset parameter can be created from one of the following functions:
- Offset.first() ---> Start reading from the first available offset.
- Offset.next() ---> Start reading from the next offset to be written.
- Offset.last() ---> Start reading from the last chunk of messages in the stream.
- Offset.offset(x) ---> Start reading from the specified offset. The parameter has to be a bigint.
- Offset.timestamp(t) ---> Start reading from the messages stored after the timestamp t.
*/
const consumer = await client.declareConsumer(consumerOptions, (message: Message) => {
console.log(message.content) // it's a Buffer
})
// declareConsumer works even with sub batch entry publishing and compression
// ...
await client.close()
Single Active Consumer
It is possible to create a consumer as single active. For the given reference only one consumer will be able to consume messages
const consumerOptions = {
stream: "stream-name",
offset: Offset.next(),
singleActive: true,
consumerRef: "my-consumer-ref",
} // see docs for various offset types
const consumer = await client.declareConsumer(consumerOptions, (message: Message) => {
console.log(message.content) // it's a Buffer
})
// ...
Clustering
Every time we create a new producer or a new consumer, a new connection is created. In particular for the producer the connection is created on the node leader. For more running the tests in a cluster follow the readme under the folder /cluster
Load Balancer
With the load balancer, what happens is we will connect first to the AddressResolver and then we will connect to the node through the AddressResolver. The address resolver is going to give us a node leader for a Producer and a node replica for the consumer, otherwise it will close the connection and retry.
const client = await connect({
hostname: "node0",
port: 5562,
username: "rabbit",
password: "rabbit",
vhost: "/",
addressResolver: { enabled: true },
})
const streamName = "my-stream"
await rabbit.createStream(streamName)
await wait(200) // wait for replicas to be created
// ...
await client.close()
Super Stream
It is possible to create a super stream directly through the client only if you are using the latest (3.13.0-rc) management version. Currently we do not support batch publishing and compression - that feature is coming soon
const client = await rabbit.connect({
hostname: "localhost",
port: 5552,
username: rabbitUser,
password: rabbitPassword,
vhost: "/",
heartbeat: 0,
})
await client.createSuperStream({ streamName: "super-stream-example" })
await sleep(200) // Waiting for partitions to be created
const routingKeyExtractor = (content, msgOptions) => msgOptions.messageProperties.messageId
const publisher = await client.declareSuperStreamPublisher({ superStream: "super-stream-example" }, routingKeyExtractor)
await publisher.send(Buffer.from("Test message 1"), { messageProperties: { messageId: "1" } })
await publisher.send(Buffer.from("Test message 2"), { messageProperties: { messageId: "2" } })
await publisher.send(Buffer.from("Test message 3"), { messageProperties: { messageId: "3" } })
await client.declareSuperStreamConsumer({ superStream: "super-stream-example" }, (message) => {
console.log(`Received message ${message.content.toString()}`)
})
await sleep(2000)
await client.close()
Filtering
It is possible to tag messages while publishing and filter them on both the broker side and client side
const client = await connect({
hostname: "localhost",
port: 5552,
username: "rabbit",
password: "rabbit",
vhost: "/",
})
const publisher = await client.declarePublisher(
{ stream: streamName, publisherRef: `my-publisher-${randomUUID()}` },
(msg) => msg.applicationProperties!["test"].toString() // Tags the message
)
const message1 = "test1"
const message2 = "test2"
const message3 = "test3"
const applicationProperties1 = { test: "A" }
const applicationProperties2 = { test: "B" }
await publisher.send(Buffer.from(message1), { applicationProperties: applicationProperties1 })
await publisher.send(Buffer.from(message2), { applicationProperties: applicationProperties1 })
await publisher.send(Buffer.from(message3), { applicationProperties: applicationProperties2 })
await client.declareConsumer(
{
stream: streamName,
offset: Offset.first(),
// Filter option for the consumer
filter: {
values: ["A", "B"],
postFilterFunc: (msg) => msg.applicationProperties!["test"] === "A",
matchUnfiltered: true,
},
},
(msg) => filteredMsg.push(msg.content.toString("utf-8"))
)
await sleep(2000)
await client.close()
Running Examples
the folder /example contains a project that shows some examples on how to use the lib, to run it follow this steps
move to the example folder and install the dependencies
cd example
npm i
run the docker-compose to launch a rabbit instance already stream enabled
docker-compose up -d
add this line to your host file (on linux /etc/hosts
) to correctly resolve rabbitmq
127.0.0.1 rabbitmq
then launch the examples
npm start
Build from source
Build:
npm run build
Test:
docker-compose up -d
npm run test
Check everything:
npm run check
MISC
https://github.com/rabbitmq/rabbitmq-server/blob/master/deps/rabbitmq_stream/docs/PROTOCOL.adoc