Kafka~HelloWorld得来不易
今天连搭了zookeeper和kafka的环境,并部署成功,但在.net驱动的操作下,没有消费成功,原因何在?
- 防火墙
- zookeeper没运行?
- kafka没有公开IP?
第一感觉也就是这向个原因了,于是自己调试了一下,最后分别进行了验证
防火墙
systemctl status firewalld
aaarticlea/png;base64,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" alt="" />
zookeeper没运行?
netstat -tunlp|egrep 2181
aaarticlea/png;base64,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" alt="" />
kafka没有公开IP?
$ vi server.properties
aaarticlea/png;base64,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" alt="" />
通过查看kafka的服务配置文件我们找到了答案,它原来只公开了localhost,而我们的程序是部署到虚拟机上的,所以localhost是访问不通过的,即你的消息者无法消费,而这时我们需要把这个配置文件修改一下,把listeners的绑定IP添加成虚拟机真实的IP,然后重启我们的kafka,就可以了!
bin/kafka-server-stop.sh
bin/kafka-server-start.sh config/server.properties &
最后再次进行C#客户端的测试,令我们心喜的结果自然就出来了!
aaarticlea/png;base64,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" alt="" />
查看所有topic列表
bin/kafka-topics.sh --zookeeper localhost:2181 --list
查看指定topic信息
bin/kafka-topics.sh --zookeeper localhost
:2181 --describe --topic test
希望通过这篇文章,让大家对kafka,zookeepr,centos有一个学习与了解!
感谢各位的阅读!
Kafka~HelloWorld得来不易的更多相关文章
- kafka "HelloWorld"实践
前面我们分别介绍了kafka的相关基本原理,kafka的集群服务器搭建以及kafka相关的配置,本文综合前面的理论知识,运用kafka Java API实现一个简单的客户端Demo. 开发环境 操作系 ...
- Linux~学习笔记目录索引
回到占占推荐博客索引 本篇文章是对自己学习Linux及在它的环境下部署工具的一个总结,以方便自己查阅,也给他人一个帮助,本文章同时会不断的更新,欢迎大家订阅! 本目录包括的内容会包括linux基础命令 ...
- Cesium原理篇:3最长的一帧之地形(3:STK)
有了之前高度图的基础,再介绍STK的地形相对轻松一些.STK的地形是TIN三角网的,基于特征值,坦白说,相比STK而言,高度图属于淘汰技术,但高度图对数据的要求相对简单,而且支持实时构建网格,STK具 ...
- App如何适应 iPhone 5s/6/6 Plus 三种屏幕的尺寸?
来自//www.cocoachina.com/ 初代 iPhone 2007 年,初代 iPhone 发布,屏幕的宽高是 320 x 480 像素.下文也是按照宽度,高度的顺序排列.这个分辨率一直到 ...
- (转)工作之路---记录LZ如何在两年半的时间内升为PM
原文地址:http://www.cnblogs.com/zuoxiaolong/p/life31.html 引言 之前的伪PM纠结之路已经渐渐结束,LZ也终于正式爬上了PM的位置,对于LZ来说,这个时 ...
- 你早该这么玩Excel 读书笔记
1. Excel用来分析数据,至少要有一份原始数据和对于的分类汇总数据,这两种数据在一项任务中,应该是存放在同一个Excel文档中的,在书籍中,把他们叫做源数据表和分类汇总表.用户输入源数据表,根据相 ...
- APP 如何适应 iPhone 5s/6/6Plus 三种屏幕的尺寸
初代iPhone 2007年,初代iPhone发布,屏幕的宽高是 320 x 480 像素.下文也是按照宽度,高度的顺序排列.这个分辨率一直到iPhone 3GS也保持不变. 那时编写iOS的App( ...
- iOS 的 APP 在系统中如何适配不同的屏幕的尺寸
iOS 的 APP 在系统中如何适配不同的屏幕的尺寸 标签: 2007年,初代iPhone发布,屏幕的宽高是 320 x 480 像素.下文也是按照宽度,高度的顺序排列.这个分辨率一直到iPhone ...
- iOS 的 APP 如何适应 iPhone 5s/6/6Plus 三种屏幕的尺寸?(转)
原文:http://www.niaogebiji.com/article-4379-1.html?utm_source=tuicool 初代iPhone 2007年,初代iPhone发布,屏幕的宽高是 ...
随机推荐
- Mac上使用jenkins+git持续集成浅析
本文旨在让同学们明白如何让jenkis在mac笔记本上运行,并实际与一个最简单的git地址交互并执行简单的jenkins任务,如果学习本文,需要先按照https://www.cnblogs.com/x ...
- golang struct 和 byte互转
相比于encoding, 使用unsafe性能更高 type MyStruct struct { A int B int } var sizeOfMyStruct = int(unsafe.Sizeo ...
- WebBrowser加载一个URL被多次调用DocumentCompleted 的问题解决方案<转>
关于DocumentCompleted事件,MSDN给出的解释是在文档加载完毕后执行,但是在我的程序中DocumentCompleted却被多次调用,查了一下资料,大概出现了以下几种情况. 1.Web ...
- JavaScript字符串与数组方法整理
字符串(String)的方法: 代码后面的都是返回值 var str = "atusdgafsvg"; var str1 = "123456789"; var ...
- 小飞机ss端口被占用处理
如图所示: 解决方法: 1.运行cmd 2.输入命令:netstat -aon|findstr "1080" 3.获取使用该端口的PID---“8540”,如下图所示: 4.输入命 ...
- python | Elasticsearch-dsl常用方法总结(join为案例)
Elasticsearch DSL是一个高级库,其目的是帮助编写和运行针对Elasticsearch的查询.它建立在官方低级客户端(elasticsearch-py)之上. 它提供了一种更方便和习惯的 ...
- win 10 亮度调节不能使用了
我的解决办法的前提:装过teamviewer ,然后每次系统推送大升级似乎都会无法调节亮度,如果不是这个前提自己找别的办法吧 teamviewer 就是一个流氓软件. 每次更新之后都末名奇妙的不能调节 ...
- 折线图hellocharts的使用说明
以前用过一次XCL-chart,但是感觉只适合固定图表,不去滑动的那种,因为你一滑动太卡了你懂得(毕竟作者好久没更新优化了),拙言大神我开玩笑的 ,毕竟我加你的群大半年了 - - 第二研究了一下ach ...
- 百度地图API 自定义标注图标
通过Icon类可实现自定义标注的图标,下面示例通过参数MarkerOptions的icon属性进行设置, 也可以使用marker.setIcon()方法. <script type=" ...
- php中mysqli_fetch_assoc()和mysqli_fetch_row()的区别
mysqli_fetch_assoc() 函数 从结果集中取得一行作为关联数组: <?php // 假定数据库用户名:root,密码:123456,数据库:RUNOOB $con=mysqli_ ...