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Table Handling
In RDBMS more than one table can be tackled at a time by using join operation. Join operation is a relational operation that causes 2 tables with a common domain to be joined into a single table or view. SQL states a join implicitly by referring the matching of common columns over which tables are connected in a WHERE clause. Two tables may be connected when each haves a column that shares a common domain with the other. The result of join operation is to be called a single table. Selected columns from all the tables are contained. Every row returned contains data from rows in the dissimilar input tables where values for the common columns match. A vital rule of table handling is that there should be one condition within the WHERE clause for every pair of tables being joined. Therefore if two tables are to be combined, one condition would be essential, but if three tables (X, Y, Z) are to be combined then two conditions would be necessary because there are two pairs of tables (X-Y and Y-Z) OR (X-Z and Y-Z), and so forth. There are various possible types of joins in relational database queries. Four types of join operations are define below:
Describe Hashing in DBMS? Hashing: Hashing is a technique to store data within an array so which storing, searching, inserting and deleting data is fast (in theory it's O(1))
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The Form input elements are: Reporter name text type input Password
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List the data structures implemented by the storage manager. The storage manager executes the following data structure a) Data files b) Data dictionary c) indices
What is known as heap file organization? In the heap file organization, any record can be placed anywhere in the file where there is space for the record. There is no ordering
What is schema
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