win setup kafka 3.6.2 Step-by-Step Guide

At the end of the document, some bugs are recorded

setup

from https://kafka.apache.org/downloads download .tgz binary package to local and extract

Prerequisites

  1. Kafka Installed: Ensure Kafka is installed and running.
  2. Java Installed: Kafka requires Java. Make sure having the JDK installed.

edit config file

  • edit config/server.properties file:

    broker.id=0

    log.dirs=/tmp/kafka-logs # or in window use D:\\tmp\\kafka-logs

    zookeeper.connect=localhost:2181

    listeners=PLAINTEXT://:9092

  • edit config/zookeeper.properties file:

    dataDir=/bigdata/zk # in win use D:\\bigdata\\zk

1. Start Kafka Server

Make sure Zookeeper and Kafka server are running.

Start Zookeeper:
复制代码
.\bin\windows\zookeeper-server-start.bat .\config\zookeeper.properties
Start Kafka server:
复制代码
.\bin\windows\kafka-server-start.bat .\config\server.properties

2. Create a Kafka Topic

Before producing and consuming messages, need a topic.

复制代码
.\bin\windows\kafka-topics.bat --create --topic test --bootstrap-server localhost:9092 --partitions 1 --replication-factor 1

3. Set Up Kafka Producer

use the Kafka console producer to send messages to the topic.

Open a new Command Prompt and run:

复制代码
.\bin\windows\kafka-console-producer.bat --topic test --bootstrap-server localhost:9092

Type messages in the console to send them to the Kafka topic.

4. Set Up Kafka Consumer

Open another Command Prompt to start the consumer that reads messages from the topic.

复制代码
.\bin\windows\kafka-console-consumer.bat --topic test --bootstrap-server localhost:9092 --from-beginning

should see messages in the consumer console as type them in the producer console.

Connecting Kafka with Code

Here are examples in Java and Python.

Java Example

First, add Kafka client dependencies topom.xml if using Maven:

复制代码
<dependency>
    <groupId>org.apache.kafka</groupId>
    <artifactId>kafka-clients</artifactId>
    <version>3.6.2</version>
</dependency>

Producer Example

复制代码
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;

import java.util.Properties;

public class KafkaProducerExample {
    public static void main(String[] args) {
        Properties props = new Properties();
        props.put("bootstrap.servers", "localhost:9092");
        props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");

        KafkaProducer<String, String> producer = new KafkaProducer<>(props);
        producer.send(new ProducerRecord<>("test", "key", "value"));
        producer.close();
    }
}

Consumer Example

复制代码
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;

import java.time.Duration;
import java.util.Collections;
import java.util.Properties;

public class KafkaConsumerExample {
    public static void main(String[] args) {
        Properties props = new Properties();
        props.put("bootstrap.servers", "localhost:9092");
        props.put("group.id", "test-group");
        props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");

        KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
        consumer.subscribe(Collections.singletonList("test"));

        while (true) {
            ConsumerRecords<String, String> records = consumer.poll(Duration.ofMillis(100));
            records.forEach(record -> {
                System.out.printf("offset = %d, key = %s, value = %s%n", record.offset(), record.key(), record.value());
            });
        }
    }
}
Python Example

First, install the Kafka Python client:

复制代码
pip install kafka-python

Producer Example

复制代码
from kafka import KafkaProducer

producer = KafkaProducer(bootstrap_servers='localhost:9092')
producer.send('test', b'Hello, Kafka!')
producer.close()

Consumer Example

复制代码
from kafka import KafkaConsumer

consumer = KafkaConsumer('test', bootstrap_servers='localhost:9092', auto_offset_reset='earliest')
for message in consumer:
    print(f"Key: {message.key}, Value: {message.value}")

Note

  • Start Zookeeper and Kafka server: Ensure they are running correctly.
  • Create topics: Use Kafka commands to create the required topics.

some bug

'wmic' is not recognized as an internal or external command, operable program or batch file

click Environment Variables. In the section for system variables, find PATH (or any capitalization thereof). Add this entry to it:

%SystemRoot%\System32\Wbem

ERROR Exiting Kafka due to fatal exception during startup. (kafka.Kafka$) java.nio.file.InvalidPathException: Illegal char < > at index 2: D: mpdownloadkafkakafka_2.13-3.6.2log\meta.properties.tmp

Correct the Path Format:

Ensure that the path specified in configuration does not contain illegal characters or spaces. Paths in Windows should use double backslashes \ or a single forward slash /.

WARN [SocketServer listenerType=ZK_BROKER, nodeId=0] Unexpected error from /0:0:0:0:0:0:0:1 (channelId=0:0:0:0:0:0:0:1:9092-0:0:0:0:0:0:0:1:62710-1); closing connection (org.apache.kafka.common.network.Selector) org.apache.kafka.common.network.InvalidReceiveException: Invalid receive (size = 1195725856 larger than 104857600)

  • Edit server.properties:

    Open the server.properties file in Kafka config directory and increase the max.request.size property. Add or modify the following lines:

    max.request.size=209715200 # Increase this value as needed, default is 104857600 (100MB)

    socket.request.max.bytes=209715200 # Ensure this matches or exceeds max.request.size

  • Edit consumer.properties and producer.properties (if applicable):

    If have consumer and producer configurations, ensure that these properties are set appropriately there as well:

    max.request.size=209715200

相关推荐
APItesterCris2 小时前
构建分布式京东商品数据采集系统:基于 API 的微服务实现方案
分布式·微服务·架构
free2 小时前
基于librdkafa C++客户端生产者发送数据失败问题处理#2
c++·kafka
不吃饭的猪3 小时前
kafka启动小脚本
分布式·kafka
休息一下接着来3 小时前
MinIO 分布式模式与纠删码
分布式·minio
胆怯的ai萌新4 小时前
论文阅读/博弈论/拍卖:《Truthful Auction for Cooperative Communications》
分布式·信息与通信
失散136 小时前
分布式专题——10.1 ShardingSphere介绍
java·分布式·架构·shardingsphere·分库分表
阿雄不会写代码8 小时前
分布式部署的A2A strands agents sdk架构中的最佳选择,使用open search共享模型记忆
分布式·架构
许泽宇的技术分享10 小时前
微软图引擎GraphEngine深度解析:分布式内存计算的技术革命
分布式·microsoft
AAA修煤气灶刘哥11 小时前
ES数据同步大乱斗:同步双写 vs MQ异步,谁才是王者?
分布式·后端·elasticsearch