It is obvious thing for me, but I just figured out it may be not common understanding. Xtrabackup is also can be used (not only can, but we actually use it this way) to clone one slave to another, or just setup new slave from the master. And it is done in almost non-blocking way ( true for InnoDB setups) for cloned server. Here is command
When it finished on destination server you run
And you have ready database directory, just copy my.cnf from original server and start mysqld.
Entry posted by Vadim | No comment
This post is the first in a series of e-commerce transaction tracking with Google Analytics. Why is e-commerce tracking important? Well, transaction data is a vital piece of information when analyzing online business performance.
Sure, it’s great to measure things like conversion rate, but revenue is much more tangible to many business owners. Having the e-commerce data in your web analytics application makes it easier to perform analysis. Do you need to set up e-commerce tracking? No, but it sure helps. :)
E-commerce tracking is based on the same principal as standard pageview tracking. JavaScript code sends the data to a Google Analytic servers by requesting an invisible gif file. The big difference is that e-commerce data is sent rather than pageview data.
But how does Google Analytics get the e-commerce data? That’s the tricky part. You, the site owner, must create some type of code that inserts the transaction data into the GA JavaScript. Sounds tricky, huh? Well, its not that bad.
Let’s break it down and walk through what actually happens.
Google Analytics collect two types of e-commerce data: transaction data and item data. Transaction data describes the overall transaction (transaction ID, total sale, tax, shipping, etc.) while item data describes the items purchased in the transaction (sku, description, category, etc.). All of this data eventually ends up in GA reports. Here’s a complete list of the data:
Transaction Data
Item Data
A few notes about the data. First, the geo-location data is no longer used by Google Analytics. The new version of GA tries to identify where the buyer is located using an IP address lookup.
Also, you should avoid using any non-alpha numeric characters in the data. Especially in the numeric fields. Do not add a currency identifier (i.e. dollar sign) in the total, tax or shipping fields. this can cause problems with the data.
Continue reading parts 2-4 of this series on EpikOne's Blog, Analytics Talk
Posted by Sebastian Tonkin, Google Analytics夏天了。
UCD书友会2009年5月话题: 电子商务网站的购物流程设计
欢迎从事电子商务的产品经理、设计师参与讨论!
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The goal of DryadLINQ is to make distributed computing on large compute cluster simple enough for ordinary programmers. DryadLINQ combines two important pieces of Microsoft technology: the Dryad distributed execution engine and the .NET Language Integrated Query (LINQ).
The Dryad Project is investigating programming models for writing parallel and distributed programs to scale from a small cluster to a large data-center.
I ‘m getting a lot of questions lately about the distributed computing, especially distributed computing model, and MapReduce, such as: What is MapReduce? Can MapReduce fit in all situations? How we can compares it with other technologies such as Grid Computing? And what is the best solution to our situation? So I decide to write about the distributed computing article in two parts. First one about the distributed computing model and what is the difference between them. In the second part I will discuss the reliability, and distributed storage systems.
Download the article in PDF format.
Download the article in MS Word format.
I wait for your comments, and questions, and I will answer it in part two.
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