文章目录

准备
集群安装
- 1、创建目录
- 2、解压缩安装包
- 3、修改配置文件
- 4、启动
- 5、查看集群是否安装成功
测试Kafka
- 1、创建测试mytopic
- 2、查看mytopic副本信息
- 3、查看已创建topic列表信息
- 4、创建Producer
- 5、创建Consumer
- 6、删除mytopic
- 7、停止kafka

准备

1、首先安装zookeeper作为为集群提供高可用
2、准备kafka按装包kafka_2.11-2.1.1.tgz
3、准备三台机器hadoop-slave1、hadoop-slave2、hadoop-slave3

集群安装

1、创建目录

创建kafka和kafkalogs目录，并将压缩包存放到/opt/kafka目录下，创建后的全路径如下所示：

/opt/kafka
/opt/kafka/kafkalogs

2、解压缩安装包

tar -zxvf kafka_2.11-2.1.1.tgz

3、修改配置文件

首先打开配置文件位置

cd /opt/kafka/kafka_2.11-2.1.1/config/

这里主要关注server.properties文件，这里可以通过zookeeper.properties配置Kafka内带的zk集群来启动，但是建议使用独立的zk集群

下面这个是hadoop-slave上的完整配置：

[root@hadoop-slave1 config]# cat server.properties
# 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=0############################# 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://:9092# 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 for 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# 默认消息的最大持久化时间，168小时，7天
log.retention.hours=168
# 消息保存的最大值5M
message.max.byte=5242880
# kafka保存消息的副本数，如果一个副本失效了，另一个还可以继续提供服务
default.replication.factor=2
# 取消息的最大直接数
replica.fetch.max.bytes=5242880# 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#log.cleaner.enable=false #是否启用log压缩，一般不启用，启用的话可以提高性能
############################# 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=hadoop-slave1:12181,hadoop-slave2:12181,hadoop-slave3:12181# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=6000############################# 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

hadoop-slave2和hadoop-slave3配置基本和上边一致，就是标红的地方需要做修改成相应的值

4、启动

进入3台机器的bin目录

cd /opt/kafka/kafka_2.11-2.1.1/bin

每一台机器都执行启动命令

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

每一台机器都检查是否已启动

5、查看集群是否安装成功

客户端连接zookeeper

/opt/zookeeper/zookeeper-3.4.12/bin/zkCli.sh -server hadoop-slave1:12181

检查kafka集群启动个数

ls /brokers/ids

测试Kafka

1、创建测试mytopic

/opt/kafka/kafka_2.11-2.1.1/bin/kafka-topics.sh --create --zookeeper hadoop-slave1:12181,hadoop-slave2:12181,hadoop-slave3:12181 --replication-factor 3 --partitions 3 --topic mytopic

选项说明：

–topic 定义topic名

–replication-factor 定义副本数

–partitions 定义分区数

2、查看mytopic副本信息

/opt/kafka/kafka_2.11-2.1.1/bin/kafka-topics.sh --describe --zookeeper hadoop-slave1:12181,hadoop-slave2:12181,hadoop-slave3:12181 --topic mytopic

3、查看已创建topic列表信息

/opt/kafka/kafka_2.11-2.1.1/bin/kafka-topics.sh --list --zookeeper hadoop-slave1:12181,hadoop-slave2:12181,hadoop-slave3:12181

4、创建Producer

/opt/kafka/kafka_2.11-2.1.1/bin/kafka-console-producer.sh --broker-list hadoop-slave1:9092,hadoop-slave2:9092,hadoop-slave3:9092 --topic mytopic

基于mytopic并发送消息"hello kafka 20201228"

5、创建Consumer

注意：--bootstrap-server后面跟的是borker的地址

/opt/kafka/kafka_2.11-2.1.1/bin/kafka-console-consumer.sh --bootstrap-server hadoop-slave1:9092,hadoop-slave2:9092,hadoop-slave3:9092 --from-beginning --topic mytopic

–from-beginning：会把TestTopic主题中以往所有的数据都读取出来。根据业务场景选择是否增加该配置。

注意：消费者的命令跟版本有关系，本文使用的新版本命令基于kafka_2.11-2.1.1

下面是旧版本的启动命令，注意后面跟的是zookeeper集群的地址

./bin/kafka-console-consumer.sh --zookeeper hadoop-slave1:12181,hadoop-slave2:12181,hadoop-slave3:12181 --from-beginning --topic mytopic

6、删除mytopic

7、停止kafka

/opt/kafka/kafka_2.11-2.1.1/bin/kafka-server-stop.sh

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