Database tuning

Abstract: From the Publisher: This introduction to database systems offers a readable comprehensive approach with engaging, real-world examples—users will learn how to successfully plan a database application before building it. The first half of the book provides in-depth coverage of databases from the point of view of the database designer, user, and application programmer, while the second half of the book provides in-depth coverage of databases from the point of view of the DBMS implementor. The first half of the book focuses on database design, database use, and implementation of database applications and database management systems—it covers the latest database standards SQL:1999, SQL/PSM, SQL/CLI, JDBC, ODL, and XML, with broader coverage of SQL than most other books. The second half of the book focuses on storage structures, query processing, and transaction management—it covers the main techniques in these areas with broader coverage of query optimization than most other books, along with advanced topics including multidimensional and bitmap indexes, distributed transactions, and information integration techniques. A professional reference for database designers, users, and application programmers.

Abstract: Database management systems will continue to manage large data volumes. Thus, efficient algorithms for accessing and manipulating large sets and sequences will be required to provide acceptable performance. The advent of object-oriented and extensible database systems will not solve this problem. On the contrary, modern data models exacerbate the problem: In order to manipulate large sets of complex objects as efficiently as today's database systems manipulate simple records, query-processing algorithms and software will become more complex, and a solid understanding of algorithm and architectural issues is essential for the designer of database management software. This survey provides a foundation for the design and implementation of query execution facilities in new database management systems. It describes a wide array of practical query evaluation techniques for both relational and postrelational database systems, including iterative execution of complex query evaluation plans, the duality of sort- and hash-based set-matching algorithms, types of parallel query execution and their implementation, and special operators for emerging database application domains.

Abstract: The success of these systems refutes a 1983 paper predicting the demise of database machines [3]. Ten years ago the future of highly parallel database machines seemed gloomy, even to their staunchest advocates. Most database machine research had focused on specialized, often trendy, hardware such as CCD memories, bubble memories, head-per-track disks, and optical disks. None of these technologies fulfilled their promises; so there was a sense that conventional CPUs , electronic RAM, and mcving-head magnetic disks would dominate the scene for many years to come. At that time, disk throughput was predicted to double while processor speeds were predicted to increase by much larger factors. Consequently , critics predicted that multiprocessor systems would scxm be I/O limited unless a solution to the I/O bottleneck was found. Whiie these predictions were fairly accurate about the future of hardware, the critics were certainly wrong about the overall future of parallel database systems. Over the last decade 'Eradata, Tandem, and a host of startup companies have successfully developed and marketed highly parallel machines.

Abstract: A system and method are provided for transmitting data from a server to a client via blocks. A user query for a solution set is transmitted to a server, which is then used to query a database for a first subset of the solution set. A first block of data is built from data in the database of the server, containing a subset of the solution set, and is then sent to the client over a network. When a second request from the client for the data in the database of the server is received, a second block of the data sets is queried from the database, built, and then transmitted to the client over the network.