051 Kafka的安装

　　后来重新复习的时候，发现这篇文章不错：https://www.cnblogs.com/z-sm/p/5691760.html

一：前提

1.安装条件

　　Java   Scala

　　zookeeper

　　Kafka

2.使用版本

　　使用的版本是0.8.2.1

　　

　　------------------

　　

二：伪分布式安装

1.解压

　　kafka_2.10-0.8.2.1

2.拷贝server.properties

　　

3.依次修改四个文件

　　官网上：说明这三个配置项是必要的。

　　

　　主要要配置的有：

　　　　broker.id=0 ：服务器唯一标识

　　　　port=9092   ：服务器监听端口

　　　　host.name=linux-hadoop01.ibeifeng.com  ： 服务器监听主机名

　　　　log.dirs=/opt/modules/kafka_2.10-0.8.2.1/data/0  ：kafka数据存储路径

　　　　zookeeper.connect=linux-hadoop01.ibeifeng.com:2181/kafka   ：元数据管理的zookeeper的配置信息

　　需要修改四个文件，这里只写第一个。

 # 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=9092

 # Hostname the broker will bind to. If not set, the server will bind to all interfaces
 host.name=linux-hadoop01.ibeifeng.com

 # 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=3

 # 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=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/modules/kafka_2.10-0.8.2.1/data/0

 # 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

 ############################# 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

 # 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 policies
 log.retention.check.interval.ms=300000

 # 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=linux-hadoop01.ibeifeng.com:2181/kafka

 # Timeout in ms for connecting to zookeeper
 zookeeper.connection.timeout.ms=6000

4.启动ZK

　　

5.进入zkCli

　　

6.启动kafka

　　

　　具体的jps

　　

7.这个时候再看zkCli

　　

　　看ids：

　　

　　看ids=0的值：

　　

　　

8.关闭命令