Kafka安装

Kafka基于Zookeeper管理分布式节点，Zookeeper是基于Java开发，所以，安装Kafka就必须安装JDK和Zookeeper。

一、安装JDK

1、新建一个存放jdk的目录，并解压jdk到该目录下；

如下图所示，jdk存放目录为/home/coshaho/jdk，版本为jdk1.7.0_79。

2、编辑用户环境变量文件~/.bashrc，添加jdk环境变量；

3、执行source ~/.bashrc加载环境变量。

二、安装Zookeeper

1、 新建Zookeeper存放目录，并解压Zookeeper到该目录；

2、在Zookeeper目录下新建zkdata文件夹以及zkdatalog文件夹；

3、进入/home/coshaho/zookeeper/zookeeper-3.4.6/conf目录配置zoo.cfg文件；

(1) dataDir为zk快照日志存储路径；

(2) dataLogDir为zk事务日志，这个目录不配置的话，事务日志会打印到dataDir中，影响性能；

(3) clientPort为zk端口；

(4) server.数字配置节点ip端口信息,第一个端口为master，slaver通信端口，第二个端口为leader选举端口。

4、进入zk快照文件目录创建节点标识；

这里myid文件中的内容和zoo.cfg中的节点标识数字一致。

5、启动zookeeper。

三、安装Kafka

1、新建Kafka存放目录，并解压Kafka到该目录下；

2、在Kafka目录下新建kafkalogs文件夹，用于存放kafka消息；

3、进入/home/coshaho/kafka/kafka_2.9.2-0.8.1.1/config目录编辑server.properties；

# 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=0

############################# Socket Server Settings #############################

# The port the socket server listens on
port=19092

# Hostname the broker will bind to. If not set, the server will bind to all interfaces
host.name=127.0.1.1

# Hostname the broker will advertise to producers and consumers. If not set, it uses the
# value for "host.name" if configured.  Otherwise, it will use the value returned from
# java.net.InetAddress.getCanonicalHostName().
#advertised.host.name=<hostname routable by clients>

# The port to publish to ZooKeeper for clients to use. If this is not set,
# it will publish the same port that the broker binds to.
#advertised.port=<port accessible by clients>

# The number of threads handling network requests
num.network.threads=2
 
# The number of threads doing disk I/O
num.io.threads=8

# The send buffer (SO_SNDBUF) used by the socket server
socket.send.buffer.bytes=1048576

# The receive buffer (SO_RCVBUF) used by the socket server
socket.receive.buffer.bytes=1048576

# 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=/home/coshaho/kafka/kafkalogs

# 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=2

############################# 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
log.retention.hours=168
message.max.byte=5048526
default.replication.factor=2
replica.fetch.max.bytes=5048526

# 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=536870912

# 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=60000

# By default the log cleaner is disabled and the log retention policy will default to just delete segments after their retention expires.
# If log.cleaner.enable=true is set the cleaner will be enabled and individual logs can then be marked for log compaction.
log.cleaner.enable=false

############################# 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=127.0.1.1:12181

# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=1000000

4、启动kafka。

四、验证Kafka集群。

1、创建topic；

coshaho@coshaho-virtual-machine:~/kafka/kafka_2.9.2-0.8.1.1$ bin/kafka-topics.sh --create --zookeeper localhost:12181 --replication-factor 1 --partitions 1 --topic hkx
Created topic "hkx".

2、创建consumer例子；

coshaho@coshaho-virtual-machine:~/kafka/kafka_2.9.2-0.8.1.1$ bin/kafka-console-consumer.sh --zookeeper 127.0.1.1:12181 --from-beginning --topic hkx

3、创建producer例子；

coshaho@coshaho-virtual-machine:~/kafka/kafka_2.9.2-0.8.1.1$ bin/kafka-console-producer.sh --broker-list 127.0.1.1:19092 --topic hkx

4、producer发送消息，consumer接收消息。