It's time to continue our series on the transactional storage engines for MySQL. Some might question why I even include Falcon because it is very much beta at this time. MySQL, however, has made quite an investment into Falcon, and while it is currently beta, the code is improving and it looks like that it will be production-worthy when MySQL server 6.0 hits GA.If this is the case, it is important to begin to understand what Falcon was designed for and how it differs from other transactional engines such as InnoDB. I am going to concentrate quite a bit on the Falcon/InnoDB comparison as that is what everyone wants to talk about. This is despite my having heard MySQL employees repeatedly make statements to the effect of, "Falcon is not going to replace InnoDB," or "Falcon is not competing with InnoDB." Well, take that with a grain of salt. It certainly seems to me that they are competing for the same  []

I was doing some research over the weekend on how transactions work "under the hood" in MySQL. I thought it might be enlightening if I wrote about what I found.The database system must resolve the situation where, for whatever reason, the database server stops working in the middle of a transaction.  Perhaps the power goes out, the hard drive crashes, or the CPU disappears in a cloud of smoke. Maybe the MySQL Server itself crashes for some reason. What does the MySQL Server do when operation resumes? Potentially, there are transactions in an inconsistent state. How are inconsistent transactions resolved? They are resolved through a recovery process involving log files that are called transactional logs. There are two kinds of transactional logs: redo logs and undo logs.

MySQL memory handling and memory handling in Falcon

Ann Harrison and Jim Starkey, creator of Falcon, explain the archtecture of the Falcon storage engine.