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Need for Dynamic SQL:
You need dynamic SQL in the situations as follows:
1) You would like to execute a SQL data definition statement (like CREATE), a data control statement (like GRANT), or a session control statement (like ALTER SESSION). In PL/SQL, these statements cannot be executed statically.
2) You wish for more flexibility. For illustration, you might desire to defer your choice of the schema objects until the run time. Or, you may want your program to construct various search conditions for the WHERE clause of a SELECT statement. A further complex program might prefer from the various SQL operations, clauses, etc.
3) You can use package like DBMS_SQL to execute the SQL statements dynamically, but you would like better performance, somewhat easier to use, or the functionality that DBMS_
SQL lacks like support for the objects and collections.
Rollback Behavior When a FORALL statement fails, the database changes are rolled back to an implicit savepoint marked before each of the SQL statement execution. The Changes t
Defining Autonomous Transactions To define an autonomous transaction, you use the pragma (compiler directive) AUTONOMOUS_TRANSACTION. The pragma instructs the PL/SQL compiler
Predicate - SQL Consider the declarative sentence-a proposition-that is used to introduce this topic: "Student S1, named Anne, is enrolled on course C1." Recall that th
Declaring Subprograms You can declare subprograms in any PL/SQL subprogram, block, or package. But, you should declare subprograms at the end of the declarative part after a
Row Operators The Row operators return or reference the particular rows. ALL retains the duplicate rows in the result of a query or in an aggregate expression. The DISTINCT el
Using a join on 3 tables, select 5 columns and 10 rows from the 3 tables without the use of a Cartesian product Query: SELECT E.LAST_NAME, E.FIRST_NAME, S.BUILDING, S.BRAN
Controlling Cursor Variables You use 3 statements to control the cursor variable: OPEN-FOR, FETCH, & CLOSE. At First, you OPEN a cursor variable FOR a multi-row query. Then, y
Aggregate Operators SQL Supports all of the aggregate operators mentioned in the theory book and many more besides. The syntax, however, involves an unusual trick that SQL cal
Enrolment was split - SQL Example shows how relvars IS_CALLED and IS_ENROLLED_ON can be derived from the original ENROLMENT relvar, using projection in the initial assignment
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