Kafka-0.10.1集群的安装和配置

准备

• 1.kafka_2.10-0.10.1.1.tgz
• 2.安装配置好的Zookeeper-3.4.10分布式集群
  mini1：192.168.213.133
  mini2：192.168.213.134
  mini3：192.168.213.135

安装

• 1.解压kafka_2.10-0.10.1.1.tgz安装包实现安装

# tar -zxvf kafka_2.10-0.10.1.1.tgz -C /usr/local/bigdata

• 2.重命名

# cd /usr/local/bigdata# mv kafka_2.10-0.10.1.1 kafka-1.10.1.1

配置

• 1.配置kafka环境变量

# vim /etc/profile

添加记录：

KAFKA_HOME=/usr/local/bigdata/kafka-0.10.1.1export PATH=$KAFKA_HOME/bin:$PATH

使配置文件生效：

# source /etc/profile

• 2.修改server.properties文件

# 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# Switch to enable topic deletion or not, default value is falsedelete.topic.enable=true############################# 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 = security_protocol://host_name:port#   EXAMPLE:#     listeners = PLAINTEXT://your.host.name:9092#listeners=PLAINTEXT://:9092port=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# The number of threads handling network requestsnum.network.threads=3# The number of threads doing disk I/Onum.io.threads=8# The send buffer (SO_SNDBUF) used by the socket serversocket.send.buffer.bytes=102400# The receive buffer (SO_RCVBUF) used by the socket serversocket.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 seperated list of directories under which to store log fileslog.dirs=/usr/local/bigdata/kafka-0.10.1.1/kafkadata/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=3# 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############################# 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. T hroughput: The flush is generally the most expensive operation, and a small flush interval may lead to exceessive 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 deletionlog.retention.hours=168# A size-based retention policy for logs. Segments are pruned from the log as long as the remaining# segments don't drop below log.retention.bytes.#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 policieslog.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=mini1:2181,mini2:2181,mini3:2181# Timeout in ms for connecting to zookeeperzookeeper.connection.timeout.ms=6000# 此处的host.name为本机IP(重要),如果没有配置，则客户端会抛出Producer connection to localhost:9092 unsuccessful错误！host.name=mini1

• 3.分发安装包

# scp -r /usr/local/bigdata/kafka-0.10.1.1 mini2:/usr/local/bigdata/# scp -r /usr/local/bigdata/kafka-0.10.1.1 mini3:/usr/local/bigdata/

• 4.再次修改server.properties文件

依次修改服务器配置文件中的broker.id，不能重复，比如1,2,3...

启动

# kafka-server-start.sh

常用命令

   查看当前服务器中的所有topickafka-topics.sh --list --zookeeper mini1:2181   创建topickafka-topics.sh --create --zookeeper mini1:2181 --replication-factor 1 --partitions 3 --topic test   删除topickafka-topics.sh --delete --zookeeper mini1:2181 --topic test需要server.properties中设置delete.topic.enable=true，否则只是标记删除   通过shell命令发送消息kafka-console-producer.sh --broker-list mini1:9092 --topic test   通过shell消费消息kafka-console-consumer.sh --zookeeper mini1:2181 --from-beginning --topic test   查看消费位置kafka-run-class.sh kafka.tools.ConsumerOffsetChecker --zookeeper mini1:2181 --group testGroup   查看某个Topic的详情kafka-topics.sh --topic test --describe --zookeeper mini1:2181

Over