kafka搭建

注意：前期步骤，最小化安装，配置yum，安装bash-completion，安装vim，安装net-tools，关闭防火墙，关闭SELINUX，hosts表，免密登录。

1、上传并解压kafka

[root@win1 soft]# tar -zxvf kafka_2.11-2.1.0.tgz

2、创建logfile文件夹

[root@win1 kafka_2.11-2.1.0]# mkdir -p /hadoop/soft/kafka_2.11-2.1.0/logfile

3、编辑config中的properties配置文件(主要修改4个参数broker.id，listeners，log.dirs，zookeeper.connect)

[root@win1 config]# vi server.properties

# Licensed to the Apache Software Foundation (ASF) under one or more

# 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   #每节点填写不一致，节点1填0，节点2填1，节点3，填写2

############################# 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://win1:9092   #每个节点填写自己的IP地址或主机名，端口号保持一致。

# 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

#listener.security.protocol.map=PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL

num.network.threads=3

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

# 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=/hadoop/soft/kafka_2.11-2.1.0/logfile   #每节点一致

# 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"

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.

# 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.

# 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

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

# 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=win1:2181,win2:2181,win3:2181   #可写主机名或IP地址

# Timeout in ms for connecting to zookeeper

zookeeper.connection.timeout.ms=6000

4 、拷贝kafka文件夹到所有节点。

[root@win1 kafka_2.11-2.1.0]# scp -pr /hadoop/soft/kafka_2.11-2.1.0 win2:/hadoop/soft

[root@win1 kafka_2.11-2.1.0]# scp -pr /hadoop/soft/kafka_2.11-2.1.0 win3:/hadoop/soft

拷贝后记得修改2和3的broker.id和listeners

5 、3个节点修改环境变量。

[root@win1 ~]# vi /root/.bashrc

JAVA_HOME=/hadoop/soft/jdk1.8.0_161

ZK_HOME=/hadoop/soft/zookeeper-3.4.12

KAFKA_HOME=/hadoop/soft/kafka_2.11-2.1.0

PATH=$JAVA_HOME/bin:$PATH:$ZK_HOME/bin:$KAFKA_HOME/bin

CLASS_PATH=$JAVA_HOME/lib/tools.jar:$JAVA_HOME/lib/dt.jar

6、加载环境变量

[root@win1 ~]# source /root/.bashrc

7、3个节点后台启动kafka

#kafka-server-start.sh /hadoop/soft/kafka_2.11-2.1.0/config/server.properties 1>/dev/null 2>&1 &

8、查看kafka进程

[root@win1 ~]# jps

12563 Kafka

10535 QuorumPeerMain

16971 Jps

[root@win1 ~]# ps -ef |grep kafka

root      12563  11747  0 08:43 pts/1    00:00:40 java -Xmx1G -Xms1G -server -XX:+UseG1GC -XX:MaxGCPauseMillis=20 -XX:InitiatingHeapOccupancyPercent=35 -XX:+ExplicitGCInvokesConcurrent -Djava.awt.headless=true -Xloggc:/hadoop/soft/kafk_2.11-2.1.0/bin/../logs/kafkaServer-gc.log后略

9、创建topic

[root@win1 ~]# kafka-topics.sh --create --zookeeper 125.221.44.11:2181 --replication-factor 3 --partitions 1 --topic testA

10、查看topic列表

[root@win1 ~]# kafka-topics.sh --list --zookeeper 125.221.44.11:2181

11、查看testA

[root@win1 ~]# kafka-topics.sh --describe --zookeeper 125.221.44.11:2181 --topic testA

12、测试数据收发（在发消息前先执行下一步骤的命令）

[root@win1 ~]# kafka-console-producer.sh --broker-list 125.221.44.11:9092 --topic testA

>yutian

>great

13、在另一台测试接收（前一步骤发送的消息的同时，回在另一节点同时接收）

[root@win2 ~]# kafka-console-consumer.sh --bootstrap-server 125.221.44.11:9092 --from-beginning --topic testA

yutian

great