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 Milvus supports Kafka as a message stream,  we can use the configuration option to decide to use Pulsar or Kafka on cluster mode. We provide the function KafkaEnable() to use Kafka. If you don't want to use kafka, you need to comment out the configuration. Same for Pulsar and Rocksmq. If the configuration of pulsar, kafka and rocksmq are readable. then use rocksmq in standalone mode and pulsar in cluster.

kafkaplusar:
  address: localhost
  port: 6650
  maxMessageSize: 5242880
#kafka:
#  brokers:
#	- localhost:9092
#  port: 9092

Design Details

• add kafka and zookepper dev docker
• optimization mq_factory configuration initialization
• remove reader
• implement msg_stream with kafka 

Configuration

version: '3.5'

services:
  zookeeper:
    image: 'bitnami/zookeeper:3.6.3'
    ports:
      - '2181:2181'
    environment:
      - ALLOW_ANONYMOUS_LOGIN=yes
  kafka:
    image: 'bitnami/kafka:3.1.0'
    ports:
      - '9092:9092'
    environment:
      - KAFKA_BROKER_ID=0
      - KAFKA_CFG_LISTENERS=PLAINTEXT://:9092
      - KAFKA_CFG_ADVERTISED_LISTENERS=PLAINTEXT://127.0.0.1:9092
      - KAFKA_CFG_ZOOKEEPER_CONNECT=zookeeper:2181
      - ALLOW_PLAINTEXT_LISTENER=yes
      - KAFKA_CFG_MAX_PARTITION_FETCH_BYTES=5242880
      - KAFKA_CFG_MAX_REQUEST_SIZE=5242880
      - KAFKA_CFG_MESSAGE_MAX_BYTES=5242880
      - KAFKA_CFG_REPLICA_FETCH_MAX_BYTES=5242880
      - KAFKA_CFG_FETCH_MESSAGE_MAX_BYTES=5242880
    depends_on:
      - zookeeper

networks:
  default:
    name: milvus_dev

Kafka Client SDK

• Sarama 
• confluent-kafka-go

We tried using sarama and confluent-kafka-go in our development and found that there was basically no difference in the producer. But there is a big difference when using consumer group. 

Sarama use consumer group need to implement Sarama interface. It make very diffcult to control  and hard to seek.

confulent-kafka-go use consumer group to consume messages just a function. It is very simple to use. This function allows you to directly set the offset from which to start consumption.

Interface Implementation

Deployments

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