Introduction to Database Management Systems is designed specifically for a single semester, namely, the first course on Database Systems. The book covers all the essential aspects of database systems, and also covers the areas of RDBMS. The book in.
The book covers all the essential aspects of database systems, and also covers the areas of RDBMS. The book in.
The book is intended to provide an insight into the DBMS concepts. An effort has been made to familiarize the readers with the concepts of database normalization, concurrency control, deadlock handling and recovery etc., which are extremely vital for a clear understanding of DBMS. To familiarize the readers with the equivalence amongst Relational Algebra, Tuple Relational Calculus, and SQL, a large number of equivalent queries have been provided. The concepts of normalization have been elaborated very systematically by fully covering the underlying concepts of functional dependencies, multi-valued dependencies, join dependencies, loss-less-join decomposition, dependency-preserving decomposition etc. It is hoped that with the help of the information provided in the text, a reader will be able to design a flawless database. Also, the concepts of serializabilty, concurrency control, deadlock handling and log-based recovery have been covered in full detail. An overview has also been provided of the issues related to distributed-databases.
The book is intended to provide an insight into the DBMS concepts.
The process of searching and analyzing large amounts of data is sometimes
called 'data mining' or 'information mining'1. Large collections of data are
potential lodes of valuable information but, like in real mining, the search and
extraction ...
This paper presents the design of the storage system for the POSTGRES data base system under construction at Berkeley. It is novel in several ways. First, the storage manager supports transaction management but does so without using a conventional write ahead log (WAL). In fact, there is no code to run at recovery time, and consequently recovery from crashes is essentially instantaneous. Second, the storage manager allows a user to optionally keep the entire past history of data base objects by closely integrating an archival storage system to which historical records are spooled. Lastly, the storage manager is consciously constructed as a collection of asynchronous processes. Hence, a large monolithic body of code is avoided and opportunities for parallelism can be exploited. The paper concludes with a analysis of the storage system which suggests that it is performance competitive with WAL systems in many situations.
This paper presents the design of the storage system for the POSTGRES data base system under construction at Berkeley.
