Kafka-配置与安装

一. Kafka下载与解压

1. Kafka包下载：https://mirrors.cnnic.cn/apache/kafka/
2. 上传解压：tar zxvf kafka_2.10-0.10.2.1.tgz

二. Kafka目录简介

1. /bin是操作kafka的可执行脚本（包含windows版脚本）
2. /config是kafka相关的配置文件
3. /libs是依赖库
4. /logs是日志数据目录。

kafka把server端日志分为5种类型：server、request、state、log-cleaner和controller

三. Kafka配置和启动

1. Zookeeper配置

(1) Zookeeper下载： http://apache.fayea.com/zookeeper/current/

解压：tar zxvf zookeeper-3.4.10.tar.gz

(2) Zookeeper配置

配置文件路径：/conf/zoo_sample.cfg

zoo_sample.cfd复制一份并更名为zoo.cfg，修改参数如下：

tickTime=2000：是Zookeeper服务器之间或服务器与客户端之间维持心跳的时间间隔，即每个tickTime时间就会发送一个心跳。

initLimit=10：初始化连接时最长能忍受多少个心跳时间间隔数

syncLimit=5：这个配置项标识 Leader 与 Follower 之间发送消息，请求和应答时间长度，最长不能超过多少个 tickTime 的时间长度，总的时间长度

就是 2*tickTime=4 秒

dataDir=/tmp/zookeeper：Zookeeper保存数据的目录。默认情况下Zookeeper也会将写数据的日志文件写入该目录。

dataLogDir=/tmp/zookeeper：日志目录，路径默认与dataDir一致，可设置。

clientPort=2181: 客户端与Zookeeper服务器连接的默认端口，Zookeeper会监听这个端口，接收客户端的请求。

zoo.cfg：

---

# The number of milliseconds of each tick

tickTime=2000

# The number of ticks that the initial

# synchronization phase can take

initLimit=10

# The number of ticks that can pass between

# sending a request and getting an acknowledgement

syncLimit=5

# the directory where the snapshot is stored.

# do not use /tmp for storage, /tmp here is just

# example sakes.

dataDir=/usr/local/bigdata/zk/data

dataLogDir=/usr/local/bigdata/zk/log

# the port at which the clients will connect

clientPort=2181

# the maximum number of client connections.

# increase this if you need to handle more clients

#maxClientCnxns=60

#

# Be sure to read the maintenance section of the

# administrator guide before turning on autopurge.

#

# http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance

#

# The number of snapshots to retain in dataDir

#autopurge.snapRetainCount=3

# Purge task interval in hours

# Set to "0" to disable auto purge feature

#autopurge.purgeInterval=1

#Zookeeper集群配置:

server.1=slave1:2888:3888

server.2=slave2:2888:3888

server.3=slave3:2888:3888 IP在host中配置了,也可直接填写

---

(3) Zookeeper的bin目录：

启动： ./zkServer.sh start

停止： ./zkServer.sh stop

2. Kafka配置

(1) 配置文件路径：/config/server.properties

主要配置参数：broker.id（唯一的）、log.dir（日志路径）和zookeeper.connect（单个或集群）。

配置参考: https://blog.csdn.net/lizhitao/article/details/25667831

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=5

#hostname

host.name=ip

port=9092

# Switch to enable topic deletion or not, default value is false

#delete.topic.enable=true

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://: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 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

#单独设置一个路径，不要放到tmp/目录下

log.dirs =/opt/kafka_2.10-0.10.2.1/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=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.

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

log.flush.interval.messages=1000

# The maximum amount of time a message can sit in a log before we force a flush

#log.flush.interval.ms=1000

log.flush.interval.ms=3000

############################# 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=24

# 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=60000

############################# 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.

# Kafka与Zookeeper集群配置:

zookeeper.connect=ip1:2181,ip2:2181,ip3:2181

# Timeout in ms for connecting to zookeeper

zookeeper.connection.timeout.ms=6000

---

(2) kafka启动命令：

进入到kafka根目录:/opt/kafka_2.10-0.10.2.1/bin

单机版

zookeeper启动： ./zookeeper-server-start.sh /opt/kafka_2.10-0.10.2.1/config/zookeeper.properties & （kafka自带的zookeeper）

kafka启动： ./kafka-server-start.sh /opt/kafka_2.10-0.10.2.1/config/server.properties &

集群版

zookeeper启动：每台机机器的zookeeper都要启动，进入bin目录下： ./zkServer.sh start

kafka启动：每台机器的kafka都要启动，进入bin目录下: ./kafka-server-start.sh /opt/kafka_2.10-0.10.2.1/config/server.properties &

(3) kafka停止命令：./kafka-server-stop.sh

四. Kafka常用命令：

(1) 创建Topic: ./kafka-topics.sh --create --zookeeper 10.12.9.215:2181 --replication-factor 1 --partitions 1 --topic test

(2) Producer发送消息: ./kafka-console-producer.sh --broker-list ip:9092 --topic test （单机模式） (新开一个窗口)

./kafka-console-producer.sh --broker-list ip1:9092,ip2:9092,ip3:9092 --topic test (集群模式)

(3) Consumer接收消息: ./kafka-console-consumer.sh --bootstrap-server ip:9092 --topic test --from-beginning (新开一个窗口)

./kafka-console-consumer.sh -- zookeeper ip1:2181,ip2:2181,ip3:2181 --topic test --from-beginning （集群）

(4) 查看所有的主题: ./kafka-topics.sh --list --zookeeper ip:2181

(5) 查看topic的详细信息: ./kafka-topics.sh -zookeeper ip:2181 -describe -topic test

(6) 为topic增加partition： ./kafka-topics.sh –zookeeper ip:2181 –alter –partitions 20 –topic testKJ1

(7) 删除topic: ./kafka-topics.sh --zookeeper ip:2181 --delete --topic test

---------------------------- 注意：文中的ip都要替换成实际地址-------------------------------