日志收集服务器-scribe vs Flume
来源:互联网 发布:淘宝怎么看历史价格 编辑:程序博客网 时间:2024/06/06 01:01
I read this ☞ post about Cloudera’s Flume with much interest. Flume sounds like a very interesting tool, not to mention that from Cloudera’s business perspective it makes a lot of sense:
We’ve seen our customers have great success using Hadoop for processing their data, but the question of how to get the data there to process in the first place was often significantly more challenging.
Just in case you didn’t have the time to read about Flume yet, here’s a short description from the ☞ GitHub project page:
Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. The system is centrally managed and allows for intelligent dynamic management. It uses a simple extensible data model that allows for online analytic applications.
In a way this sounded a bit familiar. I thought I’ve seen something kind of similar before: ☞ Scribe:
Scribe is a server for aggregating streaming log data. It is designed to scale to a very large number of nodes and be robust to network and node failures. There is a scribe server running on every node in the system, configured to aggregate messages and send them to a central scribe server (or servers) in larger groups. If the central scribe server isn’t available the local scribe server writes the messages to a file on local disk and sends them when the central server recovers. The central scribe server(s) can write the messages to the files that are their final destination, typically on an nfs filer or a distributed filesystem, or send them to another layer of scribe servers.
So my question is: how does Flume and Scribe compare? What are the major differences and what scenarios are good for one or the other?
If you have the answer to any of these questions, please drop a comment or send me an email.
Update: Looks like I’ve failed to find this ☞ useful thread, but thanks to this comment mistake is corrected:
1. Flume allows you to configure your Flume installation from a central point, without having to ssh into every machine, update a configuration variable and restart a daemon or two. You can start, stop, create, delete and reconfigure logical nodes on any machine running Flume from any command line in your network with the Flume jar available.
2. Flume also has centralised liveness monitoring. We’ve heard a couple of stories of Scribe processes silently failing, but lying undiscovered for days until the rest of the Scribe installation starts creaking under the increased load. Flume allows you to see the health of all your logical nodes in one place (note that this is different from machine liveness monitoring; often the machine stays up while the process might fail).
3. Flume supports three distinct types of reliability guarantees, allowing you to make tradeoffs between resource usage and reliability. In particular, Flume supports fully ACKed reliability, with the guarantee that all events will eventually make their way through the event flow.
4. Flume’s also really extensible - it’s really easy to write your own source or sink and integrate most any system with Flume. If rolling your own is impractical, it’s often very straightforward to have your applications output events in a form that Flume can understand (Flume can run Unix processes, for example, so if you can use shell script to get at your data, you’re golden).
— Henry Robinson
In the same thread, I’m reading about another tool ☞ Chukwa:
Chukwa is a Hadoop subproject devoted to large-scale log collection and analysis. Chukwa is built on top of the Hadoop distributed filesystem (HDFS) and MapReduce framework and inherits Hadoop’s scalability and robustness. Chukwa also includes a flexible and powerful toolkit for displaying monitoring and analyzing results, in order to make the best use of this collected data.
- 日志收集服务器-scribe vs Flume
- 四种开源日志收集系统对比【flume、kafka、chukwa、scribe】
- scribe日志收集系统
- scribe日志收集系统
- Scribe日志收集系统
- scribe 收集汇总日志
- scribe日志收集
- 详解scribe+flume搭建高可用的负载均衡日志收集系统入hadoop和kafka
- scribe - 日志收集器 分析
- scribe - 日志收集器 分析
- Scribe日志收集系统介绍
- scribe、chukwa、kafka、flume日志系统对比
- scribe、chukwa、kafka、flume日志系统对比
- scribe、chukwa、kafka、flume日志系统对比
- scribe、chukwa、kafka、flume日志系统对比
- scribe、chukwa、kafka、flume日志系统对比
- scribe、chukwa、kafka、flume日志系统对比
- scribe、chukwa、kafka、flume日志系统对比
- JAVA中String类深度探究
- 这个做一个记录,怕忘了
- 第一次写博客
- ZOJ - 3211 Dream City
- C win32学习1—WinMain
- 日志收集服务器-scribe vs Flume
- Sichuan University Programming Contest 2011 Preliminary(for Non-SCUers) / M A Simple Problem
- asp.net2.0中关于ASP.NET 网站管理工具无法连接sql server 数据库的处理
- 《转载》线程基础
- Java 实现中点法画线
- Jquery学习笔记(三)
- 关于AppFuse几个问题的回复
- C#登录人人网代码
- [情感] 关于手机24小时开机的几个小故事