Hadoop生态圈-Kafka配置文件详解
Hadoop生态圈-Kafka配置文件详解
作者:尹正杰
版权声明:原创作品,谢绝转载!否则将追究法律责任。
一.默认kafka配置文件内容([yinzhengjie@s101 ~]$ more /soft/kafka/config/server.properties )
[yinzhengjie@s101 ~]$ more /soft/kafka/config/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= ############################# 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://s101:9092 # 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= # The number of threads that the server uses for processing requests, which may include disk I/O
num.io.threads= # The send buffer (SO_SNDBUF) used by the socket server
socket.send.buffer.bytes= # The receive buffer (SO_RCVBUF) used by the socket server
socket.receive.buffer.bytes= # The maximum size of a request that the socket server will accept (protection against OOM)
socket.request.max.bytes= ############################# Log Basics ############################# # A comma separated list of directories under which to store log files
log.dirs=/home/yinzhengjie/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= # 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= ############################# 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 is recommended for to ensure availability such as .
offsets.topic.replication.factor=
transaction.state.log.replication.factor=
transaction.state.log.min.isr= ############################# 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:
# . Durability: Unflushed data may be lost if you are not using replication.
# . 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.
# . 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= # The maximum amount of time a message can sit in a log before we force a flush
#log.flush.interval.ms= ############################# 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= # 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= # The maximum size of a log segment file. When this size is reached a new log segment will be created.
log.segment.bytes= # 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= ############################# 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=s102:,s103:,s104: # Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms= ############################# 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 seconds.
# We override this to here as it makes for a better out-of-the-box experience for development and testing.
# However, in production environments the default value of seconds is more suitable as this will help to avoid unnecessary, and potentially expensive, rebalances during application st
artup.
group.initial.rebalance.delay.ms=
[yinzhengjie@s101 ~]$
二.Kafka常用参数
1>.broker.id
答:是Kafka节点服务的唯一身份标识(和zookeeper的myid类似),,如果多台kafka节点的broker.id重复的话,那仅有一个节点可以正常提供服务。
2>.listeners=PLAINTEXT://s101:9092
答:listeners 表示监听端口,PLAINTEXT表示纯文本(也就是说,不管你发送什么数据类型都以纯文本的方式接收,包括图片,视频等等,只不过接收过来再打开的话可能会是乱码!),s101:9092表示的主机名和端口号。
3>.num.network.threads=3
答:默认的网络线程数是3。
4>.num.io.threads=8
答:默认的I/O线程是8。
5>.socket.send.buffer.bytes=102400
答:默认的套接字发送缓冲是100K。
6>.socket.receive.buffer.bytes=102400
答:默认的tao-jiezi接受缓冲是100k。
7>.socket.request.max.bytes=104857600
答:默认接收到的最大字节数是100M。
8>.log.dirs=/home/yinzhengjie/kafka/logs
答:指定存放kafka的真实数据。我这里把真实的数据存在“/home/yinzhengjie/kafka/logs”。

9>.num.partitions=1
答:默认的分区数是1。
10>.num.recovery.threads.per.data.dir=1
答:每一个文件夹默认的恢复线程是1。
11>.log.retention.hours=168
答:默认数据保存时间是168小时,即一个星期(7天)。
12>.log.segment.bytes=1073741824
答:指定每个数据日志保存最大数据为1G,当超过这个值时,会自动进行日志滚动。
13>.log.retention.check.interval.ms=300000
答:每隔300秒(即5分钟)检查日志是否过期,如果数据超过了存货日期(默认7天),就会在删除log中对应的数据。
14>.zookeeper.connect=s102:2181,s103:2181,s104:2181
答:指定zookeeper服务器,如果有多个,需要用逗号分隔。
15>.zookeeper.connection.timeout.ms=6000
答:设置zookeeper的连接超时时间(默认为6秒),如果到达这个指定时间仍然连接不上的话就默认该节点已经挂掉!
16>.
三.
Hadoop生态圈-Kafka配置文件详解的更多相关文章
- kafka实战教程(python操作kafka),kafka配置文件详解
kafka实战教程(python操作kafka),kafka配置文件详解 应用往Kafka写数据的原因有很多:用户行为分析.日志存储.异步通信等.多样化的使用场景带来了多样化的需求:消息是否能丢失?是 ...
- hadoop(10)---hdfs配置文件详解
以下只是简单的对hdfs(hdfs.site.xml)配置文件做一个简单的说明. <configuration><property><!-- 为namenode集群定义一 ...
- kafka配置文件详解
kafka的配置分为 broker.producter.consumer三个不同的配置 一 .BROKER 的全局配置最为核心的三个配置 broker.id.log.dir.zookeeper.con ...
- Hadoop生态圈-Kafka的本地模式部署
Hadoop生态圈-Kafka的本地模式部署 作者:尹正杰 版权声明:原创作品,谢绝转载!否则将追究法律责任. 一.Kafka简介 1>.什么是JMS 答:在Java中有一个角消息系统的东西,我 ...
- ES之七:配置文件详解
安装流程 http://www.elasticsearch.org/overview/elkdownloads/下载对应系统的安装包(我下载的是tar的),下载解压以后运行es根目录下bin目录的el ...
- Hadoop Hive sql语法详解
Hadoop Hive sql语法详解 Hive 是基于Hadoop 构建的一套数据仓库分析系统,它提供了丰富的SQL查询方式来分析存储在Hadoop 分布式文件系统中的数据,可以将结构 化的数据文件 ...
- Hadoop生态圈-Kafka的完全分布式部署
Hadoop生态圈-Kafka的完全分布式部署 作者:尹正杰 版权声明:原创作品,谢绝转载!否则将追究法律责任. 本篇博客主要内容就是搭建Kafka完全分布式,它是在kafka本地模式(https:/ ...
- hadoop应用开发技术详解
<大 数据技术丛书:Hadoop应用开发技术详解>共12章.第1-2章详细地介绍了Hadoop的生态系统.关键技术以及安装和配置:第3章是 MapReduce的使用入门,让读者了解整个开发 ...
- Hadoop基础-Idea打包详解之手动添加依赖(SequenceFile的压缩编解码器案例)
Hadoop基础-Idea打包详解之手动添加依赖(SequenceFile的压缩编解码器案例) 作者:尹正杰 版权声明:原创作品,谢绝转载!否则将追究法律责任. 一.编辑配置文件(pml.xml)(我 ...
随机推荐
- P2463 [SDOI2008]Sandy的卡片
写一种\(O(nm)\)的做法,也就是\(O(\sum 串长)\)的. 先通过差分转化,把每个数变成这个数与上一个数的差,第一个数去掉,答案就是最长公共子串+1 按照套路把所有串拼起来,中间加一个分隔 ...
- 异常 java.lang.IllegalArgumentException: Result Maps collection already contains value
这是因为用了一次以上(多次)mbg导致sql映射文件堆积导致的异常,删除对应的sql映射文件,然后重新生成即可. Caused by: java.lang.IllegalArgumentExcepti ...
- SQL Server 全文搜索
SQL Server 的全文搜索(Full-Text Search)是基于分词的文本检索功能,依赖于全文索引.全文索引不同于传统的平衡树(B-Tree)索引和列存储索引,它是由数据表构成的,称作倒转索 ...
- zooland 新开源的RPC项目,希望大家在开发的微服务的时候多一种选择,让微服务开发简单,并且容易上手。
zooland 我叫它动物园地,一个构思很长时间的一个项目.起初只是觉得各种通信框架都封装的很好了,但是就是差些兼容,防错,高可用.同时在使用上,不希望有多余的代码,像普通接口一样使用就可以了. 基于 ...
- IIS充当反向代理转发请求到Kestrel
接着上篇博文为ASP.NetCore程序启用SSL的code,这篇将介绍如何用IIS充当反向代理的角色转发请求到Kestrel服务器 介绍 与ASP.NET不同,ASP.netCore使用的是自托管w ...
- Js_特效
事件源对象 event.srcElement.tagName event.srcElement.type 捕获释放 event.srcElement.setCapture(); event.srcE ...
- 3Sum(or k_Sum)
Given an array nums of n integers, are there elements a, b, c in nums such that a + b + c = 0? Find ...
- Kafka高性能吞吐关键技术分析
Apache Kafka官网提供的性能说明: Benchmarking Apache Kafka: 2 Million Writes Per Second (On Three Cheap Machin ...
- C++基础知识(3)
C++内置的数据类型:基本类型.复合类型 基本类型:整型,浮点型,字符型 复合类型:数组,字符串,指针和结构 复合数据类型是在基本数据类型的基础上创建的 要知道系统中整数的最大长度,可以在程序中使用C ...
- Android 使用 OnTouchListener 接口监听双击或多击事件
这里是使用 OnTouchListener 实现的监听双击 or 多击的监听器.通过 View.setOnTouchListener ,可以实现在任意 View 上监听双击事件. 网上有许多文章简单的 ...