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What is Secondary Index
While making the index, generally the index table is kept in the primary memory (RAM) and the main table, because of its size is keeps in the secondary memory (Hard Disk). Theoretically, a table may have millions of records (as the telephone directory of a large city), for which even a sparse index becomes so large in size that we cannot keep it in the primary memory. And if we cannot keep the index in the primary memory, then we lose the benefit of the speed of access. For very large table, it is better to classify the index in multiple levels.
It is mandatory that for every table in the LDB hierarchy there should exist one GET statement in the report. False. It is not essential.
Describe analysis of access paths To describe analysis of access paths, consider an example of the design of a company's employee skills database. A part of the object model fr
Improved Reliability: In a centralised DBMS, a server failure stops the operations of the DBMS. Though, a failure at single site of a DDBMS, or a failure of a communication link cr
What are the difference between clustered and a non-clustered index? A clustered index is a special type of index that reorders the way records in the table are physically stor
non numeric literals
Discuss the methods for a hash file to expand and shrink dynamically. What are the advantages and disadvantages of each? The hashing methods that permit dyanamic file expansi
Client Server Databases- The concept behind the Client/Server systems is simultaneous, cooperative processing. It is an approach that presents a one systems view from a user's vie
What is OMR? OMR (Optical Mark Recognition) is the translation of marks - or the absence of marks - but not the shape of the mark on forms that have small circles ("also called
Create 1 experiment to demonstrate an aspect of query optimisation by using access-path structures (indexes), decomposition, or denormalisation. Once satisfied with your experiment
How does a query tree represent a relational algebra expression? Discuss any three rules for query optimisation, giving example as to when should each rule be applied. Ans
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