消费者(Consumer):向topic注册,并且接收发布到这些topic的消息
生产者(Producer):向kafka的topic发布消息的程序
服务端(broker):kafka以一个拥有一台或多台服务器的集群运行着,每一台服务器称为broker
1. Kafka架构
生产者、kafka集群、消费者架构图
kafka集群中的消息,以topic 的形式组织排序,如下图所示:
2. 基本概念
2.1 主题(Topic)
对消息进行分类单元,通常在一个应用中对应一个Topic,以此进行区分。一个主题就是一个类别或者一个可订阅的条目名称。对每个topic来说,kafka维护的是一个分区日志(partitioned log)
2.2 分区(Partition)
每个分区是一个有序的、不可变的消息序列,这个序列可以被连续地追加提交日志。在分区内的每条消息都有一个有序的id号,这个id号被称为偏移offset,这个偏移量可以唯一确定每条消息在分区内的位置。
工作图
服务器三台:安装均在三台服务器上统一操作。
192.168.48.130
192.168.48.131
192.168.48.132
注意:
zk3.5.5之后的版本,选择带bin 的为二进制安装包;
注意jdk版本,3.5.5之后的一直用jdk1.8版本。
1.1 安装java环境
yum -y install java-1.8.0-openjdk*
1.2 下载zookeeper并创建对应目录
cd /opt
mkdir zookeeper
mkdir -p zookeeper/zkdata #快照日志
mkdir -p zookeeper/ zkdatalog#事物日志
cd /opt/zookeeper/
wget https://mirrors.cnnic.cn/apache/zookeeper/zookeeper-3.5.9/apache-zookeeper-3.5.9-bin.tar.gz
tar -zxvf apache-zookeeper-3.5.9-bin.tar.gz
1.3 修改配置文件
#进入conf目录
cd /opt/zookeeper/ apache-zookeeper-3.5.9-bin/conf
cp zoo_sample.cfg zoo.cfg
#zoo_sample.cfg 官方的zookeeper样例文件。
配置文件:
# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial
# synchronization phase can take
initLimit=10
# The number of ticks that can pass between
# sending a request and getting an acknowledgement
syncLimit=5
# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just
# example sakes.
dataDir=/opt/zookeeper/zkdata
dataLogDir=/opt/zookeeper/zkdatalog
# the port at which the clients will connect
clientPort=12181
# the maximum number of client connections.
# increase this if you need to handle more clients
#maxClientCnxns=60
#
# Be sure to read the maintenance section of the
# administrator guide before turning on autopurge.
#
# http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
#
# The number of snapshots to retain in dataDir
#autopurge.snapRetainCount=3
# Purge task interval in hours
# Set to "0" to disable auto purge feature
#autopurge.purgeInterval=1
server.1=192.168.48.130:12888:13888
server.2=192.168.48.131:12888:13888
server.3=192.168.48.132:12888:13888
只根据情况修改了datadir 、clientPort和添加server配置。
#server.1 1为服务器标识,主要用于区分标识服务器,同样下面myid文件里也是根据这个数字命名。
#clientPort:客户端连接Zookeeper的端口。
1.4 创建myid文件
给zk集群服务器标识,整个zk集群用来发现彼此的一个重要标识。
#server1
echo "1" > /opt/zookeeper/zkdata/myid
#server2
echo "2" > /opt/zookeeper/zkdata/myid
#server3
echo "3" > /opt/zookeeper/zkdata/myid
1.5 启动服务
cd /opt/zookeeper/apache-zookeeper-3.5.9-bin/bin
./zkServer.sh start
./zkServer.sh status #检查状态
[root@localhost apache-zookeeper-3.5.9-bin]# ./bin/zkServer.sh status
/usr/bin/java
ZooKeeper JMX enabled by default
Using config: /opt/zookeeper/apache-zookeeper-3.5.9-bin/bin/../conf/zoo.cfg
Client port found: 12181. Client address: localhost. Client SSL: false.
Mode: leader
#一般一个leader多个follower
2.1软件下载
#创建目录:
cd /opt/
mkdir kafka #创建项目目录
cd kafka
mkdir kafkalogs #kafka消息目录,主要存放kafka消息
#下载软件:
wget --no-check-certificate https://dlcdn.apache.org/kafka/3.0.0/kafka_2.13-3.0.0.tgz
#解压软件:
tar -zxvf kafka_2.13-3.0.0.tgz
2.2 修改配置文件
cd /opt/kafka/kafka_2.13-3.0.0/config/
主要关注:server.properties 这个文件即可。
# 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.
# 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=1
############################# Socket Server Settings #############################
# The address the socket server listens on. It will get the value returned from
# java.net.InetAddress.getCanonicalHostName() if not configured.
# FORMAT:
# listeners = listener_name://host_name:port
# EXAMPLE:
# listeners = PLAINTEXT://your.host.name:9092
listeners=PLAINTEXT://192.168.48.131:19092
# Hostname and port the broker will advertise to producers and consumers. If not set,
# it uses the value for "listeners" if configured. Otherwise, it will use the value
# returned from java.net.InetAddress.getCanonicalHostName().
#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=/opt/kafka/kafkalogs
# 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=48
# 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=192.168.48.130:12181,192.168.48.131:12181,192.168.48.132:12181
# 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
#broker.id=1 每台服务器的broker.id都不能相同。
#zookeeper.connect=192.168.48.130:12181,192.168.48.131:12181,192.168.48.132:12181
#listeners=PLAINTEXT://192.168.48.131:19092
#log.dirs=/opt/kafka/kafkalogs
其他按需配置。
2.3 启动集群
cd /opt/kafka/kafka_2.13-3.0.0
./bin/kafka-server-start.sh -daemon /opt/kafka/kafka_2.13-3.0.0/config/server.properties
检查是否启动成功。
#jps
3284 Kafka
97419 Jps
5775 QuorumPeerMain
#ps -ef|grep kafka
2.4 测试发布、消费消息
##创建topic:
./bin/kafka-topics.sh --create --bootstrap-server
192.168.48.131:19092,192.168.48.130:19092,192.168.48.132:19092
--replication-factor 3 --partitions 1 --topic test
## 删除topic:
./bin/kafka-topics.sh --bootstrap-server
192.168.48.131:19092,192.168.48.130:19092,192.168.48.132:19092
--delete --topic test
## topic列表查询:
./bin/kafka-topics.sh --list --bootstrap-server
192.168.48.131:19092,192.168.48.130:19092,192.168.48.132:19092
## 创建生产者:
./bin/kafka-console-producer.sh --broker-list
192.168.48.131:19092,192.168.48.130:19092,192.168.48.132:19092
--topic test
## 创建消费者:
./bin/kafka-console-consumer.sh --bootstrap-server
192.168.48.131:19092,192.168.48.130:19092,192.168.48.132:19092
--topic test --from-beginning --consumer.config config/consumer.properties
##查看集群topic信息:
./bin/kafka-topics.sh --describe --bootstrap-server
192.168.48.131:19092,192.168.48.130:19092,192.168.48.132:19092
--topic test
3. 测试消费情况
--生产者:
--消费者:
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