首页 > 其他分享 >自己玩KAFKA 版本 kafka_2.13-3.2.1

自己玩KAFKA 版本 kafka_2.13-3.2.1

时间:2022-08-30 17:11:24浏览次数:48  
标签:log License zookeeper KAFKA 3.2 kafka ############################# server

     好久没有研究Kafka了,重新摸起来

自己在虚机中  、环境JDK8 + kafka_2.13-3.2.1

不太建议使用Windows,除非迫不得已,毕竟Kafka的使用场景都是高并发场景,Windows服务器不合适。

(1)下载最新版本

     https://kafka.apache.org/downloads

         各位同学,请注意,因为是开源的软件中间件,所以一定要注意版本号,最新的版本据说抛弃了Zookeeper了,作为使用者,我就不仔细检查和测试这个说法了。

     直接使用就好了,只要和老版本的功能一致,就可以相信了。

 

(2)参考网址

         感谢BAIDU,感谢万能的网友,我参考了

 https://blog.csdn.net/iku_whf/article/details/125432794

 https://blog.csdn.net/weixin_42854904/article/details/118424361 

官方推荐如果kafka版本大于等于2.2使用–bootstrap-server替代–zookeeper

 

(3)开始吧

下载最新版

 

 

 zookeeper.properties 内容

 

# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
# 
#    http://www.apache.org/licenses/LICENSE-2.0
# 
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# the directory where the snapshot is stored.
dataDir=/tmp/zookeeper
# the port at which the clients will connect
clientPort=2181
# disable the per-ip limit on the number of connections since this is a non-production config
maxClientCnxns=60
# Disable the adminserver by default to avoid port conflicts.
# Set the port to something non-conflicting if choosing to enable this
admin.enableServer=true
admin.serverPort=8082

###add by 20220830
# 默认是true
# standaloneEnabled=true  
tickTime=2000
initLimit=10

 

 server.properties 内容

# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

#
# This configuration file is intended for use in ZK-based mode, where Apache ZooKeeper is required.
# See kafka.server.KafkaConfig for additional details and defaults
#

############################# Server Basics #############################

# The id of the broker. This must be set to a unique integer for each broker.
broker.id=0

############################# Socket Server Settings #############################

# The address the socket server listens on. If not configured, the host name will be equal to the value of
# java.net.InetAddress.getCanonicalHostName(), with PLAINTEXT listener name, and port 9092.
#   FORMAT:
#     listeners = listener_name://host_name:port
#   EXAMPLE:
#     listeners = PLAINTEXT://your.host.name:9092
listeners=PLAINTEXT://192.168.226.141:9092

# Listener name, hostname and port the broker will advertise to clients.
# If not set, it uses the value for "listeners".
#advertised.listeners=PLAINTEXT://your.host.name:9092

# Maps listener names to security protocols, the default is for them to be the same. See the config documentation for more details
#listener.security.protocol.map=PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL

# The number of threads that the server uses for receiving requests from the network and sending responses to the network
num.network.threads=3

# The number of threads that the server uses for processing requests, which may include disk I/O
num.io.threads=8

# The send buffer (SO_SNDBUF) used by the socket server
socket.send.buffer.bytes=102400

# The receive buffer (SO_RCVBUF) used by the socket server
socket.receive.buffer.bytes=102400

# The maximum size of a request that the socket server will accept (protection against OOM)
socket.request.max.bytes=104857600


############################# Log Basics #############################

# A comma separated list of directories under which to store log files
log.dirs=/tmp/kafka-logs

# The default number of log partitions per topic. More partitions allow greater
# parallelism for consumption, but this will also result in more files across
# the brokers.
num.partitions=1

# The number of threads per data directory to be used for log recovery at startup and flushing at shutdown.
# This value is recommended to be increased for installations with data dirs located in RAID array.
num.recovery.threads.per.data.dir=1

############################# Internal Topic Settings  #############################
# The replication factor for the group metadata internal topics "__consumer_offsets" and "__transaction_state"
# For anything other than development testing, a value greater than 1 is recommended to ensure availability such as 3.
offsets.topic.replication.factor=1
transaction.state.log.replication.factor=1
transaction.state.log.min.isr=1

############################# Log Flush Policy #############################

# Messages are immediately written to the filesystem but by default we only fsync() to sync
# the OS cache lazily. The following configurations control the flush of data to disk.
# There are a few important trade-offs here:
#    1. Durability: Unflushed data may be lost if you are not using replication.
#    2. Latency: Very large flush intervals may lead to latency spikes when the flush does occur as there will be a lot of data to flush.
#    3. Throughput: The flush is generally the most expensive operation, and a small flush interval may lead to excessive seeks.
# The settings below allow one to configure the flush policy to flush data after a period of time or
# every N messages (or both). This can be done globally and overridden on a per-topic basis.

# The number of messages to accept before forcing a flush of data to disk
#log.flush.interval.messages=10000

# The maximum amount of time a message can sit in a log before we force a flush
#log.flush.interval.ms=1000

############################# Log Retention Policy #############################

# The following configurations control the disposal of log segments. The policy can
# be set to delete segments after a period of time, or after a given size has accumulated.
# A segment will be deleted whenever *either* of these criteria are met. Deletion always happens
# from the end of the log.

# The minimum age of a log file to be eligible for deletion due to age
log.retention.hours=168

# A size-based retention policy for logs. Segments are pruned from the log unless the remaining
# segments drop below log.retention.bytes. Functions independently of log.retention.hours.
#log.retention.bytes=1073741824

# The maximum size of a log segment file. When this size is reached a new log segment will be created.
log.segment.bytes=1073741824

# The interval at which log segments are checked to see if they can be deleted according
# to the retention policies
log.retention.check.interval.ms=300000

############################# Zookeeper #############################

# Zookeeper connection string (see zookeeper docs for details).
# This is a comma separated host:port pairs, each corresponding to a zk
# server. e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002".
# You can also append an optional chroot string to the urls to specify the
# root directory for all kafka znodes.
zookeeper.connect=192.168.226.141:2181

# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=18000


############################# Group Coordinator Settings #############################

# The following configuration specifies the time, in milliseconds, that the GroupCoordinator will delay the initial consumer rebalance.
# The rebalance will be further delayed by the value of group.initial.rebalance.delay.ms as new members join the group, up to a maximum of max.poll.interval.ms.
# The default value for this is 3 seconds.
# We override this to 0 here as it makes for a better out-of-the-box experience for development and testing.
# However, in production environments the default value of 3 seconds is more suitable as this will help to avoid unnecessary, and potentially expensive, rebalances during application startup.
group.initial.rebalance.delay.ms=0

 

  server.properties  修改的地方

 

 

zookeeper.properties 修改的地方

 

 

(1) 启动

启动顺序,先zookeeper ,再kafka

sh bin/zookeeper-server-start.sh config/zookeeper.properties

sh bin/kafka-server-start.sh config/server.properties

请一定注意路径,否则启动报错

(2)创建Topic

sh kafka-topics.sh --create --bootstrap-server 192.168.226.140:9092 --replication-factor 1 --partitions 1 --topic test7

(3)检查创建是否成功

sh kafka-topics.sh --list  --bootstrap-server 192.168.226.141:9092

如果反馈是 test7 ,说明一切OK了。

 

小结:

(1)启动顺序、路径很重要,没有zookeeper直接启动Kafka会报错。

(2)网上说新版本的kafka已经包含了Zookeeper ,个人操作下来看,Kafka把它包入了,但是还是分开启动的,并没有说是完全放弃Zookeeper不用

(3)以前的版本创建、查看Topic 用的 zookeeper ,实际我的这个版本中,是不吃的,报错,换成 bootstrap-server 就OK 了

(4)网上的什么查看Zookeeper的工具,未必适合所有版本;看情况再去浪费时间;

(5)Zookeeper的配置文件中, 默认 standaloneEnabled=true ,可以不用这个参数,但是如果改成false,一定会报错;

 

标签:log,License,zookeeper,KAFKA,3.2,kafka,#############################,server
From: https://www.cnblogs.com/alexgl2008/p/16626885.html

相关文章

  • 搬砖_kafka的一些命令
    有关kafka的一些命令kafka查看当前消费组消费到哪个offsetcd/opt/kafka/bin#即进入到kafka的bin目录下bash-5.1#./kafka-consumer-groups.sh--bootstrap-serve......
  • kafka术语
    Topic:发布订阅的对象称为主题(topic),可以为每个应用,每个业务甚至每个类创建专属的主题。clients:生产者和消费者统称为clients。Producer:向主题发布消息的客户端应用称......
  • Kafka基础概念
    参考文献基本概念这里理解分区Partitionoffset理解基本概念Topic是一个逻辑概念,相当于给消息分配的标签Partition分区,topic中的消息被分割为一个或多个的......
  • Discuz!X3.2/3.3/3.4程序搬家/数据库修改教程 (2019-06-11 17:07:29)
    路径:/wwwroot/config/config_global.php这个根据你网站安装的路径而定。 打开config_global.php文件修改:$_config['db']['1']['dbpw']='原来密码'; 原来密码......
  • Apache Druid 数据摄取---本地数据和kafka流式数据
    Durid概述ApacheDruid是一个集时间序列数据库、数据仓库和全文检索系统特点于一体的分析性数据平台。本文将带你简单了解Druid的特性,使用场景,技术特点和架构。这将有助......
  • kafka消息重复消费和消息丢失
    重复消费在Kafka消费的编程逻辑中位移提交是一大难点,自动提交消费位移的方式非常简便,它免去了复杂的位移提交逻辑,让编码更简洁。但随之而来的是重复消费和消息丢失的问......
  • 重新编译kafka_exporter源码,构建镜像
    1.githubhttps://github.com/danielqsj/kafka_exporter 2.dockerfileFROMgolang:1.17ENVGO111MODULE=on\GOPROXY="https://goproxy.cn,direct"COPYkafka_......
  • Flink 消费 Kafka 数据后在写回 Kafka 示例
    今天介绍一下Flink从kafka读取数据后,再将数据写回kafka的一个案例示例代码/***从一个topic读取数据,在写回另一个topic*/publicclassSinkToKafka0824{......
  • Kafka相关问题
    Kafka有哪几个部分组成生产者、消费者、topic、group、partitionkafka的group1)定义:即消费者组是Kafka提供的可扩展且具有容错性的消费者机制。在Kafka中,消费者组是一个......
  • Kafka的简单使用
    下面目的主要是进行简单测试kafka,比如在其他网络中已提供了IP和地址,进行kafka的读取,自已不想再写代码:环境要求:存在java环境:1、下载Kafka的程序https://kafka.apache.or......