Kafka系列一 基本安装

一 配置文件（下载、解压、跳过）

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# 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的全局唯一编号，不能重复
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
#处理网络请求的线程数量
num.network.threads=3

# The number of threads that the server uses for processing requests, which may include disk I/O
#用来处理磁盘IO的线程数量
num.io.threads=8

# The send buffer (SO_SNDBUF) used by the socket server
#发送套接字的缓冲区大小
socket.send.buffer.bytes=102400

# The receive buffer (SO_RCVBUF) used by the socket server
#接收套接字的缓冲区大小
socket.receive.buffer.bytes=102400

# The maximum size of a request that the socket server will accept (protection against OOM)
#请求套接字的缓冲区大小
socket.request.max.bytes=104857600


############################# Log Basics #############################

# A comma seperated list of directories under which to store log files
#运行日志存放路径
log.dirs=/home/hadoop/logs/kafka

# 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.
#topic 的分片个数
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.
#用来恢复和清理Data下数据的线程数量
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
#segment文件保留的最长时间，超时将被删除
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.
# zk地址
zookeeper.connect=hadoop2:2181,hadoop3:2181,hadoop4:2181

# 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

二 启动集群

　　分发安装包，修改每个配置文件的broker.id ,不得重复

　　启动zookeeper集群（hadoop2,hadoop3,hadoop4）

　　依次在各节点上启动kafka

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

三 常用操作命令

　　1 查看当前服务器中所有的topic

bin/kafka-topics.sh --list --zookeeper hadoop2:2181

 　　2 创建topic

bin/kafka-topics.sh --create --zookeeper hadoop2:2181 --replication-factor 1 --partitions 3 --topic first

　　　--replication-factor 1 副本个数

　　　--partitions 3 分片个数

　　　--topic first 主题名字

 　　3 删除topic

bin/kafka-topics.sh --delete --zookeeper hadoop2:2181 --topic first

 　　需要server.properties中设置delete.topic.enable=true否则只是标记删除或者直接重启

　　4 通过shell命令发送消息

bin/kafka-console-producer.sh --broker-list kafka1:9092 --topic first

 　　5 通过shell命令消费消息

bin/kafka-console-consumer.sh --zookeeper hadoop2:2181 --from-beginning --topic first

 　　6 查看消费者位置

bin/kafka-run-class.sh kafka.tools.ConsumerOffsetChecker --zookeeper hadoop2:2181 --group testGroup

 　　7 查看某个Topic详情

bin/kafka-topics.sh --topic first--describe --zookeeper hadoop2:2181