An HTTP/REST based Kafka client built on top of Upstash REST API.
Note
This project is in GA Stage.
The Upstash Professional Support fully covers this project. It receives regular updates, and bug fixes. The Upstash team is committed to maintaining and improving its functionality.
It is the only connectionless (HTTP based) Kafka client and designed for:
- Serverless functions (AWS Lambda ...)
- Cloudflare Workers (see the example)
- Fastly Compute@Edge
- Next.js Edge, Remix ...
- Client side web/mobile applications
- WebAssembly and other environments where HTTP is preferred over TCP connections.
npm install @upstash/kafka
- Go to upstash and select your database.
- Copy the
REST API
secrets at the bottom of the page
import { Kafka } from "@upstash/kafka"
const kafka = new Kafka({
url: "<UPSTASH_KAFKA_REST_URL>",
username: "<UPSTASH_KAFKA_REST_USERNAME>",
password: "<UPSTASH_KAFKA_REST_PASSWORD>",
})
const p = kafka.producer()
const message = { hello: "world" } // Objects will get serialized using `JSON.stringify`
const res = await p.produce("<my.topic>", message)
const res = await p.produce("<my.topic>", message, {
partition: 1,
timestamp: 12345,
key: "<custom key>",
headers: [{ key: "traceId", value: "85a9f12" }],
})
The same options from the example above can be set for every message.
const p = kafka.producer()
const res = await p.produceMany([
{
topic: "my.topic",
value: { hello: "world" },
// ...options
},
{
topic: "another.topic",
value: "another message",
// ...options
},
])
The first time a consumer is created, it needs to figure out the group coordinator by asking the Kafka brokers and joins the consumer group. This process takes some time to complete. That's why when a consumer instance is created first time, it may return empty messages until consumer group coordination is completed.
const c = kafka.consumer()
const messages = await c.consume({
consumerGroupId: "group_1",
instanceId: "instance_1",
topics: ["test.topic"],
autoOffsetReset: "earliest",
})
More examples can be found in the docstring
While consume
can handle committing automatically, you can also use
Consumer.commit
to manually commit.
const consumerGroupId = "mygroup"
const instanceId = "myinstance"
const topic = "my.topic"
const c = kafka.consumer()
const messages = await c.consume({
consumerGroupId,
instanceId,
topics: [topic],
autoCommit: false,
})
for (const message of messages) {
// message handling logic
await c.commit({
consumerGroupId,
instanceId,
offset: {
topic: message.topic,
partition: message.partition,
offset: message.offset,
},
})
}
You can also manage offsets manually by using Consumer.fetch
const c = kafka.consumer()
const messages = await c.fetch({
topic: "greeting",
partition: 3,
offset: 42,
timeout: 1000,
})
See /examples as well as various examples in the docstrings of each method.
-
Install dependencies using
pnpm install
-
Create a kafka instance on upstash. docs
-
Create the following topics:
blue
,red
,green
. docsThe partitions or retention settings don't matter at this time.
-
Create
.env
file with your kafka secretscp .env.example .env
pnpm test