Concurrency Control and Recovery in Database Systems
Authors:
Nathan Goodman ,
Vassos Hadzilacos
Year: 1987
Publisher: Addison-Wesley Publishing Company
Content URL: Link To Content
About Concurrency Control and Recovery in Database Systems:
Excerpts from book:
This book is about techniques for concurrency control and recovery.
A concurrency control algorithm ensures that transactions execute atomically. It does this by controlling the interleaving of concurrent transactions, to give the illusion that transactions execute serially, one after the next, with no interleaving at all. Interleaved executions whose effects are the same as serial executions are called serializable. Serializable executions are correct, because they support this illusion of transaction atomicity.
A recovery algorithm monitors and controls the execution of programs so that the database includes only the results of transactions that run to a normal completion. If a failure occurs while a transaction is executing, and the transaction is unable to finish executing, then the recovery algorithm must wipe out the effects of the partially completed transaction. That is, it must ensure that the database does not reflect the results of such transactions. Moreover,it must ensure that the results of transactions that do execute are never lost.
This book covers techniques for centralized and distributed computer systems, and for single copy, multiversion, and replicated databases. These techniques were developed by researchers and system designers principally interested in transaction processing systems and database systems. Such systems must process a relatively high volume of short transactions for data processing. Example applications include electronic funds transfer, airline reservation, and order processing. The techniques are useful for other types of applications too, such as electronic switching and computer-aided design - indeed any application that requires atomicity and reliability of concurrently executing programs that access shared data.
The book is a blend of conceptual principals and practical details. The principles give a basic understanding of the essence of each problem and why each technique solves it. This understanding is essential for applying the techniques in a commercial setting, since every product and computing environment has its own restrictions and idiosyncrasies that affect the implementation. It is also important for applying the techniques that we consider of most practical value, we explain what's needed to turn the conceptual principles into a workable database system product. We concentrate on those practical approaches that are most often used in today's commercial systems.
This book is about techniques for concurrency control and recovery.
A concurrency control algorithm ensures that transactions execute atomically. It does this by controlling the interleaving of concurrent transactions, to give the illusion that transactions execute serially, one after the next, with no interleaving at all. Interleaved executions whose effects are the same as serial executions are called serializable. Serializable executions are correct, because they support this illusion of transaction atomicity.
A recovery algorithm monitors and controls the execution of programs so that the database includes only the results of transactions that run to a normal completion. If a failure occurs while a transaction is executing, and the transaction is unable to finish executing, then the recovery algorithm must wipe out the effects of the partially completed transaction. That is, it must ensure that the database does not reflect the results of such transactions. Moreover,it must ensure that the results of transactions that do execute are never lost.
This book covers techniques for centralized and distributed computer systems, and for single copy, multiversion, and replicated databases. These techniques were developed by researchers and system designers principally interested in transaction processing systems and database systems. Such systems must process a relatively high volume of short transactions for data processing. Example applications include electronic funds transfer, airline reservation, and order processing. The techniques are useful for other types of applications too, such as electronic switching and computer-aided design - indeed any application that requires atomicity and reliability of concurrently executing programs that access shared data.
The book is a blend of conceptual principals and practical details. The principles give a basic understanding of the essence of each problem and why each technique solves it. This understanding is essential for applying the techniques in a commercial setting, since every product and computing environment has its own restrictions and idiosyncrasies that affect the implementation. It is also important for applying the techniques that we consider of most practical value, we explain what's needed to turn the conceptual principles into a workable database system product. We concentrate on those practical approaches that are most often used in today's commercial systems.