Database Systems Concepts with Oracle CD by Abraham Silberschatz, Henry F. Korth, S. Sudarshan
By Abraham Silberschatz, Henry F. Korth, S. Sudarshan
The Fourth version of Database approach innovations has been greatly revised from the third variation. the hot variation presents superior insurance of options, vast insurance of recent instruments and strategies, and up to date insurance of database method internals.This textual content is meant for a primary path in databases on the junior or senior undergraduate, or first-year graduate point. Database process suggestions, 4th ed. bargains a whole heritage within the fundamentals of database layout, languages, and procedure implementations. recommendations are offered utilizing intuitive descriptions, and critical theoretical effects are coated, yet formal proofs are passed over. the elemental strategies and algorithms lined in Database method thoughts 4th ed. are in keeping with these utilized in present advertisement or experimental database structures. The authors current those options and algorithms in a normal environment that's not tied to at least one specific database process.
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Buffer manager, which is responsible for fetching data from disk storage into main memory, and deciding what data to cache in main memory. The buffer manager is a critical part of the database system, since it enables the database to handle data sizes that are much larger than the size of main memory. The storage manager implements several data structures as part of the physical system implementation: • Data ﬁles, which store the database itself. • Data dictionary, which stores metadata about the structure of the database, in particular the schema of the database.
Silberschatz−Korth−Sudarshan: Database System Concepts, Fourth Edition 30 Chapter 2 I. Data Models © The McGraw−Hill Companies, 2001 2. 2 Composite attributes customer-name and customer-address. tribute dependent-name of the employee entity set would be multivalued, since any particular employee may have zero, one, or more dependent(s). Where appropriate, upper and lower bounds may be placed on the number of values in a multivalued attribute. For example, a bank may limit the number of phone numbers recorded for a single customer to two.
Similarly, the domain of attribute loan-number might be the set of all strings of the form “L-n” where n is a positive integer. A database thus includes a collection of entity sets, each of which contains any number of entities of the same type. 1 shows part of a bank database that consists of two entity sets: customer and loan. Formally, an attribute of an entity set is a function that maps from the entity set into a domain. Since an entity set may have several attributes, each entity can be described by a set of (attribute, data value) pairs, one pair for each attribute of the entity set.