在前面一篇文章中《消息中间件系列教程(20) -Kafka-集群搭建》,我们分别搭建了Zookeeper和Kafka来实现Kafka的集群。其实Kfaka里面的压缩包里面包含了Zookeeper,可以在里面配置,本文基于上一篇博客来讲解。
1.首先新建kafka的日志目录和zookeeper数据目录(3台服务器同样操作)
mkdir /usr/local/kafka/zookeeper mkdir /usr/local/kafka/log mkdir /usr/local/kafka/log/zookeeper mkdir /usr/local/kafka/log/kafka
2.进入config目录下,修改zookeeper.properties配置文件(3台服务器同样操作)
cd /usr/local/kafka/config/ vi zookeeper.properties
修改内容如下:
tickTime=2000 initLimit=10 syncLimit=5 dataDir=/usr/local/kafka/zookeeper clientPort=2181 server.0=192.168.162.131:2888:3888 server.1=192.168.162.132:2888:3888 server.2=192.168.162.133:2888:3888
3.zookeeper数据目录添加myid配置(3台服务器按zookeeper.properties的标识设置对应的id,比如192.168.162.131的id为0)
cd /usr/local/kafka/zookeeper vi myid
4. 进入config目录下,修改server.properties文件(3台服务器除了broker.id、advertised.listeners,其它的都一样)
############################# 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://192.168.162.131:9092 #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 seperated list of directories under which to store log files log.dirs=/tmp/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 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=192.168.162.131:2181,192.168.162.132:2181,192.168.162.133:2181 # 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. group.initial.rebalance.delay.ms=0
5. 启动Zookeeper(kafka启动时先启动zookeeper,再启动kafka,关闭时相反,先关闭kafka,再关闭zookeeper)
cd /usr/local/kafka/bin/ ./zookeeper-server-start.sh -daemon ../config/zookeeper.properties
6.查看Zookeeper是否启动成功
ps -ef|grep zookeeper
如果现实如下信息,表示启动成功
7.启动kafka
cd /usr/local/kafka/bin/ ./kafka-server-start.sh -daemon ../config/server.properties
8.查看kafka是否启动成功
ps -ef|grep kafka
如果现实如下信息,表示启动成功
9.使用Zookeeper可视化工具,可以看到zookeeper新增了3个kafka broker节点: