Analyzing 流媒体 Server Log Files

No matter how large or small your streaming media infrastructure is, it’s critical to know how it’s performing. In fact, your existence is probably intimately tied to how well your system is working. To understand this, you have to extract as much 信息 as possible out of your log files.

Extracting 信息 out of your log files isn’t rocket science. After all, log files are just text. Every time a request is processed by your streaming server, an entry is written in the log file. Each entry is a single line of text, 包含多个字段, each of which contains 信息 about the transaction. A typical log file entry contains the date and time of the request, 查看器的IP地址, 请求的文件名, and how much of the file was sent. Depending on what streaming format you’re using, you’ll have lots of other data that can be mined for more 信息.

The challenge is to extract this 信息 and present it in a useful format. Each log entry must be tallied, and some of the data may need to be manipulated to be useful. For example, all log files record how much data was sent. This is useful as an aggregate number to know exactly how much bandwidth you’re using. But on a file-by-file basis, it’s more useful to know what percentage of the file people watched. 为了解决这个问题, you need to divide the number of bytes delivered by the encoding bit rate, which may or may not be recorded in another log entry field.

另外, what you’ll want to do is export this 信息 to a spreadsheet format so you can compare it to other metrics you may have, as well as create graphs and charts so you can track trends over time. 值得庆幸的是, this is the sort of thing that computers are good at—boring, repetitive tasks involving a little math. Given the number of streaming media providers out there, you’d think that there would be a big market for this kind of software. 事实证明, there are only a few viable options available at this point, and we'll look at two that are at opposite ends of the spectrum: AWStats and Sawmill.

AWStats
www.awstats.com
价格:开源

AWStats is an open source log-processing solution that can be configured to analyze streaming stats. It only offers a minimal set of streaming stats because it’s primarily designed for web-server log processing. 然而, if you’re just interested in which of your files are most popular in terms of number of views and amount of data sent, 这是一个很好的解决方案.

AWStats runs on just about any OS you choose, provided it supports Perl 5.00503或更好. It’s available as a download in .EXE, .GZ, .邮政, .RPM格式. Installation is fairly straightforward. There’s an install script that walks you through the process. You need to specify where your log files are located and specify a name for your configuration file. Make sure you have write permissions in the directories AWStats uses, or be sure to specify directories that you’re allowed to write to.

After you’ve successfully installed AWStats, I recommend that you do your first "build" from the command line, because if anything goes wrong errors are sent to the command line. Provided everything goes well, you’ll see some status text, detailing the build process. 当流程完成时, AWStats provides a report on how many records were processed, 有多少人被抛弃, 腐败的, 老, 最后, how many were added to the statistics database.

To view your stats, open a browser window and enter the URL for the reports interface. The URL will look something like this:
http://www.yourdomain.com/awstats/awstats.pl?配置= mediastats

The default AWStats view is a summary of the current month, with a summary of the month’s activity at the top of the page. Below that is a graph of the current year’s activity, 比较独立访客, 支安打, 使用的带宽. 当你向下滚动页面, you can also see traffic broken down by date, 星期几, 一天中的几个小时, 国家, 是主机, 十大最受欢迎的文件, 操作系统, 和浏览器. 如果你想知道更多细节, click the Full List link at the top of any summary section, or use the navigation at the left.