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🥑 A Kafka client and Avro (de)serializer library for Node.js

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Avrokado

🥑 A Kafka client and Avro (de)serializer library

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Table of Contents


Installation

To install, use your favourite dependency manager.
The package name is avrokado.

npm i avrokado --save

yarn add avrokado --exact

Usage

For examples, please refer to the examples folder.

SchemaRegistry

This will fetch the key and value schemas for a topicName.

Class Signature

new SchemaRegistry (
  endpoint: string,
  topics: ReadonlyArray<string> | string,
  version: number | 'latest' | 'all'
) => SchemaRegistry;

Where:

  • endpoint: Endpoint for your Schema Registry;
  • topics: Name of the topics (Array) or topic (String) you want to retrieve the schemas for;
  • version: It can be either:
    • A number, which will then force the function to only fetch that version;
    • all, which means it will fetch all versions of the schemas;
    • latest, which will fetch only the latest schema versions.

Fields

  • schemas: Object containing the loaded schemas.

Methods

load

async load() => Promise<void>;

The load method will load all the schemas selected to memory, and can be accessed through the schemas field from the instanced class.

Best Practices

It is recommended to load the schemas BEFORE creating your Consumer or Producer.


AvroConsumer

This will create a consumer stream using node-rdkafka.

Please check their DOCUMENTATION since most of the options are from this library.

Class Signature

new AvroConsumer(
  conf: Object,
  topicConf: Object,
  schemas: TopicsSchemas
) => AvroConsumer;

Where:

  • consumerConfiguration: librdkafka's consumer-specific configuration;
  • defaultTopicConfiguration: librdkafka's default topic configuration;
  • streamOpts: librdkafka's read stream options;
  • schemas: An object with all key and value schemas (return from loadSchemas).

Returns a AvroConsumer, which extends from Readable stream.

Fields

  • stream: This is a ConsumerStream object from node-rdkafka, which has another field consumer for the KafkaConsumer itself (yes it's ugly).

Events Emitted

Event name Trigger/Description
avro Whenever a message is parsed with Avro
ready When the Consumer Stream is created
event.error Wraps ConsumerStream.consumer's event.error event

And any other event emitted by a ConsumerStream from node-rdkafka.

API

Specifically for avro event emitted, it should be expected a AvroMessage type, which contains:

Variable Description
value The raw value buffer
key The raw key buffer
size Size in bytes of the raw message
topic Name of the topic
offset Offset in which the message is
partition Partition from the topic
timestamp When the message was retrieved
valueSchemaId Schema ID for the value
keySchemaId Schema ID for the key
parsedValue Avro-deserialized value (from value)
parsedKey Avro-deserialized key (from key)

Notes

  • To use the KafkaConsumer methods, for now you will need to do AvroConsumer.stream.consumer.

AvroProducer

This will create a producer using node-rdkafka.

Please check their DOCUMENTATION since most of the options are from this library.

Class Signature

new AvroProducer(
  conf: Object,
  topicConf: Object,
  schemas: TopicsSchemas
) => AvroProducer;

Where:

  • conf: librdkafka's producer-specific configuration;
  • topicConf?: librdkafka's default topic configuration;
  • schemas: An object with all key and value schemas (return from loadSchemas).

Returns a AvroProducer, which extends from Producer.

Methods

connect

connect(
  metadataOption: Object = {}
) => Promise<true | Error>;

The connect method will connect to the Kafka broker and await until a connection is successfully made or an error is thrown.

produce

produce(
  topic: string,
  partition?: number,
  message?: unknown,
  key?: unknown,
  sendRaw?: boolean,
  timestamp?: number,
  opaque?: unknown
) => void;

The produce method will produce a message to Kafka. If sendRaw is set to true, the message WILL NOT be avro encoded.

disconnect

disconnect(
  timeout: number = 5000
) => Promise<true | Error>;

The disconnect method will disconnect from the Kafka broker and await until it is gracefully interrupted.


Tests

  1. Install Docker;
  2. Install docker-compose;
  3. Start up the images with docker-compose up -d and make sure zookeeper, kafka and schema-registry are all running;
  4. Run npm run test or yarn test.

TODO

  • Improve in-code documentation.

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🥑 A Kafka client and Avro (de)serializer library for Node.js

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