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@effect-avro/kafka

v0.0.3

Published

Kafka serializers and deserializers for @effect-avro packages

Readme

@effect-avro/kafka

Kafka serializers and deserializers for the @effect-avro packages.

This package is Kafka-client agnostic. It returns functions that work with message buffers, so applications can plug them into KafkaJS, node-rdkafka, or custom Effect Stream consumers.

Install

pnpm add @effect-avro/kafka @effect-avro/core @effect-avro/schema-registry effect

Usage

import { Effect, Layer } from "effect"
import { SchemaRegistry } from "@effect-avro/schema-registry"
import { KafkaAvro, decodeValue, serializeRegistryValue } from "@effect-avro/kafka"

const schema = {
  type: "record",
  name: "Event",
  fields: [{ name: "id", type: "long" }]
} as const

const KafkaAvroLive = KafkaAvro.layer.pipe(
  Layer.provide(SchemaRegistry.layer({ endpoint: "http://localhost:8081" }))
)

const program = Effect.gen(function*() {
  const value = yield* serializeRegistryValue({ topic: "events", schema }, { id: 1 })

  return yield* decodeValue({
    topic: "events",
    value
  })
}).pipe(
  Effect.provide(KafkaAvroLive)
)

Features

  • Effect service and layer API via KafkaAvro.
  • Effect Schema values for Kafka messages and serializer options.
  • Plain Avro serializers/deserializers for raw Kafka payloads.
  • Confluent Schema Registry backed key/value serializers.
  • Confluent frame deserialization by embedded schema id.
  • Topic, record, and topic-record subject naming strategies.
  • Contextual decode errors that include topic, partition, offset, and key/value location.
  • Lower-level helpers stay Kafka-client agnostic and accept a SchemaRegistryClient directly.
  • Schema-backed KafkaAvroError tagged errors for Effect.catchTag.