/* */:/software/ [[email protected] software]# scp -r /software/kafka_2.9.2-0.8.1.1.tgz [email protected]:/software/
3.copy /software/kafka_2.9.2-0.8.1.1.tgz到/kafka/目錄（service1、service2、service3都執行） [[email protected] software]# cp /software/kafka_2.9.2-0.8.1.1.tgz /kafka/
4.安裝解壓kafka_2.9.2-0.8.1.1.tgz（service1、service2、service3都執行） [[email protected] /]# cd /kafka/ [[email protected] kafka]# tar -zxvf kafka_2.9.2-0.8.1.1.tgz

5.創建kafka消息目錄（service1,service2,service3都要創建） [[email protected] kafka]# mkdir kafkaLogs
6. 修改kafka的配置文件（service1,service2,service3都要配置） [[email protected] /]# cd /kafka/kafka_2.9.2-0.8.1.1/ [[email protected] kafka_2.9.2-0.8.1.1]# cd config/ [[email protected] config]# ls consumer.properties log4j.properties producer.properties server.properties test-log4j.properties tools-log4j.properties zookeeper.properties [[email protected] config]# vi 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 ---唯一標識
############################# Socket Server Settings #############################
# The port the socket server listens on port=19092 --當前broker對外提供的TCP端口,默認9092
# Hostname the broker will bind to. If not set, the server will bind to all interfaces host.name=192.168.2.213 --一般是關閉狀態，我們要將它打開，如果dns解析失敗，會出現文件句柄泄露，不要小看dns解析失敗率，如果dns解析失敗率為萬分之一，由於kafka的性能非常高，每個topic的每個分區，每秒可以處理十萬多條的數據，即使萬分之一的失敗率，每秒也要泄露10個文件句柄，很快句柄數就會泄露完畢，就會超過linux打開文件的數，就會出現異常，所以我們配置ip，就不會進行dns解析

# 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 --broker網絡處理的線程數，一般不做處理
# The number of threads doing disk I/O num.io.threads=8 --broker io處理的線程數，這個數量一定要比log.dirs的目錄數要大
# The send buffer (SO_SNDBUF) used by the socket server socket.send.buffer.bytes=1048576 --將發送的消息先放到緩沖區，當到達一定量的時候再一次性發出
# The receive buffer (SO_RCVBUF) used by the socket server socket.receive.buffer.bytes=1048576 --kafka接受消息的緩沖區，當接受的數量達到一定量的時候再寫入磁盤
# The maximum size of a request that the socket server will accept (protection against OOM) socket.request.max.bytes=104857600 --像kafka發送或者請求消息的最大數，此設置不能超過java堆棧大小

############################# Log Basics #############################
# A comma seperated list of directories under which to store log files log.dirs=/kafka/kafkaLogs --多個目錄可以用，隔開
# 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 --一個topic默認分區數
############################# 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=5048576 --kafka每條消息容納的最大大小 default.replication.factor=2 --默認的復制因子，默認消息只有一個副本，不太安全，所以設置為2，如果某個分區的消息失敗了，我們可以使用另一個分區的消息服務 replica.fetch.max.byte=5048576 --kafka每條消息容納的最大大小

# 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 --消息持久化的最大大小
# 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 --不使用log壓縮
############################# 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=192.168.2.211:2181,192.168.2.212:2181,192.168.2.213:2181 --zk地址
# Timeout in ms for connecting to zookeeper zookeeper.connection.timeout.ms=1000000
7.啟動kafka服務 [[email protected] bin]# ./kafka-server-start.sh -daemon ../config/server.properties [[email protected] bin]# jps 27413 Kafka 27450 Jps 17884 QuorumPeerMain
8.驗證kafka集群 [[email protected] bin]# ./kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 2 --partitions 1 --topic test Created topic "test".
9.在service1上開啟producer程序 ./kafka-console-producer.sh --broker-list 192.168.2.211:9092 --topic test [[email protected] bin]# ./kafka-console-producer.sh --broker-list 192.168.2.211:9092 --topic test SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". SLF4J: Defaulting to no-operation (NOP) logger implementation SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.

10. 在service2上開啟consumer程序 [[email protected] bin]# ./kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginning SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". SLF4J: Defaulting to no-operation (NOP) logger implementation SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
11.在producer中發送消息：hello jeesz [[email protected] bin]# ./kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginning SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". SLF4J: Defaulting to no-operation (NOP) logger implementation SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details. hello jeesz
12. 在consumer中接受到消息 [[email protected] bin]# ./kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginning SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". SLF4J: Defaulting to no-operation (NOP) logger implementation SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.

hello jeesz

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JEESZ-kafka集群安裝