Kafka - Configuration and Installation

1. Kafka download and decompression

1. Kafka package download: https://mirrors.cnnic.cn/apache/kafka/
2. Upload and decompress: tar zxvf kafka_2.10-0.10.2.1.tgz

2. Introduction to Kafka Directory

1. /bin is the executable script for operating kafka (including the windows version script)
2. /config is a kafka related configuration file
3. /libs is the dependency library
4. /logs is the log data directory.

Kafka divides server-side logs into 5 types: server, request, state, log-cleaner and controller

3. Kafka configuration and startup

1. Zookeeper configuration

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

Unzip: tar zxvf zookeeper-3.4.10.tar.gz

(2) Zookeeper configuration

Configuration file path: /conf/zoo_sample.cfg

Make a copy of zoo_sample.cfd and change its name to zoo.cfg. Modify the parameters as follows:

tickTime=2000: It is the time interval for maintaining heartbeats between Zookeeper servers or between the server and the client, that is, a heartbeat is sent every tickTime.

initLimit=10: How many heartbeat intervals can be tolerated when initializing the connection

syncLimit=5: This configuration item identifies the length of the message sent between the Leader and the Follower, the request and response time length, the longest time length cannot exceed how many tickTimes, and the total time length

is 2*tickTime=4 seconds

dataDir=/tmp/zookeeper: The directory where Zookeeper saves data. By default Zookeeper also writes log files for writing data to this directory.

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-------------------------------