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kafka叢集安裝

1.前提需要java環境和zookeeper的支援

2.建立持久化目錄(根目錄)

mkdir /kafkaLogs

3.修改kafka的配置檔案(config)目錄

vim server.properties

1.修改broker.id

2.修改kafka監聽地址

3.修改持久化目錄

4.修改zk地址

5.新增啟用刪除topic配置

6.關閉自動建立topic

############################# Server Basics #############################

# The id of the broker. This must be set to a unique integer for each broker.

broker.id=0

advertised.host.name=192.168.1.123

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

num.network.threads=3

# The number of threads that the server uses for processing requests, which may include 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 separated list of directories under which to store log files

log.dirs=/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=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

############################# 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 excessive 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

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.

zookeeper.connect=192.168.1.123:2181,192.168.1.131:2181,192.168.1.148:2181

# 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

###########刪除topic#############################

delete.topic.enable=true

#########關閉自動建立topic###################

auto.create.topics.enable=false

4.複製該配置到叢集中的其他機器

scp -rp kafka_2.11-0.9.0.1 [email protected]***:/usr/local/

5.修改叢集中其他機器的broker.id

vim server.properties

broker.id=0

6.啟動kafka的相關命令:

主機啟動kafka:

JMX_PORT=9997 bin/kafka-server-start.sh -daemon config/server.properties &

停止kafka:

/usr/local/kafka_2.11-0.9.0.1/bin/kafka-server-stop.sh

7.設定指令碼,定期清理logs下的日誌(kafka的根目錄)

cd /usr/local/kafka_2.11-0.9.0.1/

vim clean_kafkalog.sh

#!/bin/bash

###Description:This script is used to clear kafka logs, not message file.

###Written by: jkzhao - [email protected]

###History: 2016-04-18 First release.

# log filedir.

logDir=/usr/local/kafka_2.11-0.9.0.1/logs

# Reserved 7 files.

COUNT=7

ls -t $logDir/server.log* | tail -n +$[$COUNT+1] | xargsrm -f

ls -t $logDir/controller.log* | tail -n +$[$COUNT+1] | xargsrm -f

ls -t $logDir/state-change.log* | tail -n +$[$COUNT+1] | xargsrm -f

ls -t $logDir/log-cleaner.log* | tail -n +$[$COUNT+1] | xargsrm –f

chmod +x clean_kafkalog.sh

週期性任務策略:每週日的0點0分去執行這個指令碼:

crontab -e 0 0 * * 0 /usr/local/kafka_2.11-0.9.0.1/clean_kafkalog.sh

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