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Declaring Records
Whenever you define a RECORD type, you may declare records of that type, as the illustration shows:
DECLARE
TYPE StockItem IS RECORD (
item_no INTEGER(3),
description VARCHAR2(50),
quantity INTEGER,
price REAL(7,2));
item_info StckItem; -- declare record
The identifier item_info represents the whole record.
Like the scalar variables, the user-defined records can be declared as the formal parameters of the procedures and functions. An illustration is as shown:
TYPE EmpRec IS RECORD (
emp_id emp.empno%TYPE,
last_name VARCHAR2(10),
job_title VARCHAR2(15),
salary NUMBER(7,2));
...
PROCEDURE raise_salary (emp_info EmpRec);
Logical Operators The logical operators AND, NOT, and OR follow the tri-state logic shown in table below. The AND and OR are binary operators; NOT is a unary operator.
Map and Order Methods: The values of the scalar datatype like CHAR or REAL have a predefined order that allows them to be compared. While, the instances of an object type has
Predefined Exceptions The internal exception is raised implicitly whenever your PL/SQL program exceeds a system-dependent limit or violates an Oracle rule. Each & every Oracle
Parameter and Keyword Description: type_name: This identifies a user-defined type specifier that is used in the subsequent declarations of the objects. AUTHID Clause:
Using Cursor Attributes: Every cursor has 4 attributes: %NOTFOUND, %FOUND, %ISOPEN, and %ROWCOUNT. If appended to the cursor name, they return the helpful information about
Using DEFAULT You can use the keyword DEFAULT rather than that of the assignment operator to initialize the variables. For e.g. the declaration blood_type CHAR := ’O’; it can b
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Conditionals - SQL At first sight SQL does not appear to have a single operator for expressing logical implication. In this respect it would be in common with most programming
Effects of NULL for Multiple Assignments - SQL If the row expression given as the source for a multiple assignment evaluates to NULL, then NULL is assigned to each target. If
Example of Table Literal - SQL Example: A Table Literal (correct version) VALUES ('S1', 'C1', 'Anne'), ('S1', 'C2', 'Anne'), ('S2', 'C1', 'Boris'), ('S3', 'C3'
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