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# Be aware that this log type is a performance killer. I read this line from configuration file of MySQL, when trying to enable disabled-by-default general logging option for MySQL Server, in Linux. I decided to dig in deep and find out why? And what are the alternatives? Performance loss: If you enable MySQL logging, you'll notice instant drop in performance if you are dealing with large data, being manipulated by over a dozen connections. The primary reason for this is the IO operation after every database event; if the database repository and log files are on the same storage device, the performance reduces even more due to the simultaneous write operations (not to forget that write is more expensive than read). Secondarily, the size of the log file is from 4 to 20 times than actual data, depending on the architecture of data feeding application (you try this yourself). This is because the file contains not only the actual values present in the data, but also the qu

How often have you lost your temper when you are searching a forum's thread for a "how-to-fix" the broken piece of electronics your best mate gifted you on your birthday? Or trying to find a nice greeting card on Google Image search, clicking each thumbnail and exhausting yourself in back and forth browsing exercise? Quite often, right? If you browse the internet, you have experienced the annoyance that multi-page galleries, reviews, and sometimes even Google search creates. By multi-page content, I mean a single piece of information, which is broken into multiple pages, mostly for advertisements that the viewer hates. This small article should help you speed up your browsing. But your browser should be Google Chrome or Mozilla Firefox  (honestly, I haven't tried other browsers). The Solution Fastest Chrome/Fastest Fox: automatically loads next pages whenever possible, when you scroll to the bottom of the web-page. This saves you from trying to locate the

If you have been into MIS development for some time, then you may have realized that buying latest, multi-thousand-dollar Machine, stuffed with a top notch processor and an army of memory chips is not sufficient to your needs when it comes to processing large data, especially when your DBMS is MySQL Server. In this article, I have tried to input  the tips and techniques to-be-followed - some in general and some specific to MySQL Server; but I would, as every blogger, repeat the same common phrase that " in the end   it all depends on your scenario ". The results you are going to see will mostly be in milliseconds so before thinking "is it worth the effort if the result is in a few milliseconds?", do know that these results are derived using a very very simple database with not more than 100000 records in a table.  With complex databases and records in millions, the effort will pay you back. Coming straight to topic, here are some points you should not ign