Linux安装zookeeper+kafka集群

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安装zookeeper

　　步骤一：使用【rz】命令将zookeeper压缩包上传到【/opt/module】目录下

　　　　

　　步骤二：使用【tar -zxvf zookeeper-3.4.6.tar.gz】命令解压文件

　　　　

　　步骤三：进入【conf】目录，将【zoo_sample.cfg】文件复制为zoo.cfg文件（必须是这个文件名）

cp  zoo_sample.cfg  zoo.cfg

　　步骤四：使用【vim zoo.cfg】命令对文件进行编辑　

dataDir=/tmp/zookeeper/data
dataLogDir=/tmp/zookeeper/log

#配置集群添加如下配置
server.1=192.168.138.55:2888:3888
server.2=192.168.138.66:2888:3888
server.3=192.168.138.77:2888:3888

　　　　

　　步骤五：在tmp目录下创建目录

mkdir /tmp/zookeeper

mkdir /tmp/zookeeper/data

mkdir /tmp/zookeeper/log

　　步骤六：如果是配置集群，还需要在【/tmp/zookeeper/data】目录下新增【myid】文件

cd /tmp/zookeeper/data

touch myid

vim myid

　　　　在【myid】文件中，修改对应的IP的机器上输入对应的编号。

　　　　如果在192.168.138.55，那么文件内容就是1；在192.168.138.66，那么文件内容就是2；

　　步骤七：配置环境变量

export ZOOKEEPER_INSTALL=/opt/module/zookeeper-3.4.6/

　　步骤八：启动zookeeper

cd /opt/module/zookeeper-3.4.6/bin

./zkServer.sh start

　　　　如果启动后结尾出现【STARTED】就代表启动成功

安装kafka

　　步骤一：使用【rz】命令将kafka压缩包上传到【/opt/module】目录下

　　步骤二：使用【tar -zxvf kafka_2.11-0.11.0.0.tgz】命令解压文件

　　步骤四：使用【mkdir logs】命令创建文件夹

　　步骤五：进入【config】目录，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 false
delete.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 = listener_name://host_name:port
#   EXAMPLE:
#     listeners = PLAINTEXT://your.host.name:9092
listeners=PLAINTEXT://192.168.138.77:9092

# 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 seperated list of directories under which to store log files
log.dirs=/opt/module/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 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 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 deletion due to age
log.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. 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=192.168.138.55:2181,192.168.138.66:2181,192.168.138.77:2181

# 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.

　　　　broker.id=1　　　　#每个主机的id不能相同

　　　　listeners=PLAINTEXT://192.168.138.77:9092 　　#此值集群是一定要配本机IP，否则会被识别为localhost

　　　　advertised.listeners=PLAINTEXT://192.168.138.77:9092 　　#此值集群是一定要配本机IP，否则会被识别为localhost

　　　　log.dirs=/opt/module/kafka/logs　　#存放主题的 相关的topic内容

　　　　zookeeper.connect=192.168.138.55:2181,192.168.138.66:2181,192.168.138.77:2181 　　#zookeeper集群地址

　　　　【修改完成后，每个主机的server.properties文件都要修改】

　　步骤六：启动kafka　

cd /work/kafka_2.11-0.10.2.0

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

　　　　此种方式启动kafka日志不会直接打印到控制台

kafka+zookeeper测试

　　步骤一：创建topic

bin/kafka-topics.sh --create --zookeeper 192.168.138.55:2181,192.168.138.66:2181,192.168.138.77:2181 --replication-factor 2 --partitions 2 --topic first

　　　　 --topic first：表示是定义的名称

　　　　--replication-factor：定义的副本数

　　　　--partitions：定义的区分数

　　　　注意：这里创建的topic每个主机中都会有相应的topic

　　　　　　kafka01:

　　　　　　　　

　　　　　　kafka02:

　　　　　　　　

　　　　　　kafka03:

　　　　　　　　

　　步骤二：查看topic

bin/kafka-topics.sh --describe --zookeeper 192.168.138.55:2181,192.168.138.66:2181,192.168.138.77:2181 --topic wang

　　步骤三：创建生产者

bin/kafka-console-producer.sh --broker-list 192.168.138.55:9092,192.168.138.66:9092,192.168.138.77:9092 --topic wang

　　步骤四：创建消费者

bin/kafka-console-consumer.sh --bootstrap-server 192.168.138.55:9092,192.168.138.66:9092,192.168.138.77:9092 --topic wang --from-beginning

　　　　

 　　步骤五：删除topic　

bin/kafka-topics.sh --zookeeper 192.168.138.55:2181,192.168.138.66:2181,192.169.138.77:2181 --delete --topic wang

　　　　

　　　　删除完成后可以在logs目录下查询对应的topic是否存在

　　步骤六：关闭kafka

bin/kafka-server-stop.sh conf/server.properties

　　步骤七：关闭zookeeper

bin/zkServer.sh stop conf/zoo.cfg

注意事项

　　1.启动kafka过一会进程自动挂掉问题原因

　　　　这是因为kafka logs目录下的meta.properties文件中的broker.id与server.properties中的broker.id不一致所导致，只需把两者改为一致启动kafka后就不会自动挂掉了

　　　　　　

　　2.用Kafka创建topic时报错：Exception in thread "main" org.I0Itec.zkclient.exception.ZkTimeoutException: Unable to connect to zookeeper server within timeout: 30000

　　　　现原因：多样，比如kafka没启动，服务器时间不同，防火墙没关。（下面的解决办法只供参考）

    　　　　解决办法：

   　　　　　　 1、启动kafka。

   　　　　　　 3、关闭防火墙。

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