@upstash/kafka
v1.3.5
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An HTTP/REST based Kafka client built on top of Upstash REST API.
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upstash-kafka
An HTTP/REST based Kafka client built on top of Upstash REST API.
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.
Installation
npm install @upstash/kafka
Quickstart
Auth
- 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>",
})
Produce a single message
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" }],
})
Produce multiple messages.
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
},
])
Consume
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
Commit manually
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,
},
})
}
Fetch
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,
})
Examples
See /examples as well as various examples in the docstrings of each method.
Contributing
Requirements
Setup
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
Running tests
pnpm test