Skip to main content

PL/SQL COLLECTION

In PL/SQL, you can create collections to store multiple values of the same datatype.

There are three main types of collections in PL/SQL: associative arrays (also known as index-by tables), nested tables, and VARRAYs (variable-size arrays).




 

VARRAY

These are one-dimensional arrays with a fixed upper bound, specified at declaration.

They are useful when you know the maximum number of elements that will be stored in the array.

DECLARE

  TYPE num_array IS VARRAY(5) OF NUMBER;

  numbers num_array := num_array(10, 20, 30, 40, 50);

  total NUMBER := 0;

BEGIN

  -- Loop through the VARRAY

  FOR i IN 1..numbers.COUNT LOOP

    total := total + numbers(i);

  END LOOP;

  DBMS_OUTPUT.PUT_LINE('Total sum: ' || total);

END;

 


NESTED TABLE

These are one-dimensional arrays with no upper bounds.

They are declared using the TYPE statement and instantiated with the CREATE TYPE statement.

They behave similar to database tables and can be used in SQL operations.

DECLARE

  TYPE num_list IS TABLE OF NUMBER;

  numbers num_list := num_list(10, 20, 30, 40, 50);

  total NUMBER := 0;

BEGIN

  -- Loop through the nested table

  FOR i IN 1..numbers.COUNT LOOP

    total := total + numbers(i);

  END LOOP;

  DBMS_OUTPUT.PUT_LINE('Total sum: ' || total);

END;

 


ASSOCIATIVE ARRAY

These are similar to arrays in other programming languages but are indexed by a unique key rather than by consecutive integers.

They are declared using the TYPE statement and accessed using the key value.

DECLARE

  TYPE employee_salary IS TABLE OF NUMBER INDEX BY VARCHAR2(100);

  salaries employee_salary;

BEGIN

  salaries('John') := 50000;

  salaries('Alice') := 60000;

  salaries('Bob') := 55000;

  -- Accessing values

  DBMS_OUTPUT.PUT_LINE('John''s salary: ' || salaries('John'));

END;

 

 

 

Comments

Popular posts from this blog

TechUplift: Elevating Your Expertise in Every Click

  Unlock the potential of data with SQL Fundamental: Master querying, managing, and manipulating databases effortlessly. Empower your database mastery with PL/SQL: Unleash the full potential of Oracle databases through advanced programming and optimization. Unlock the Potential of Programming for Innovation and Efficiency.  Transform raw data into actionable insights effortlessly. Empower Your Data Strategy with Power Dataware: Unleash the Potential of Data for Strategic Insights and Decision Making.

Python Topics

Learning Python can be an exciting and rewarding journey, especially given its versatility and widespread use in various fields like web development, data science, automation, and more. Here's a structured guide to help you learn Python effectively, covering essential topics from beginner to advanced levels. Beginner Level Introduction to Python Installation and setup Python syntax and interactive shell Writing and running your first Python script Basic Concepts Variables and data types (integers, floats, strings, booleans) Basic arithmetic operations String operation Comments and documentation Control Structures Conditional statements ( if ,  elif ,  else ) Loops ( for ,  while ) Data Structures Lists Tuples Dictionaries Sets Functions Defining and calling functions Function arguments and return values Lambda functions Built-in functions Modules and Packages Importing modules Standard library overview (e.g.,  math ,  datetime ,  random ) Installing and using external packages

DAX Functions

These are just some of the many DAX functions available in Power BI. Each  function serves a specific purpose and can be used to perform a wide range of calculations and transformations on your data. Aggregation Functions: SUM : Calculates the sum of values. AVERAGE : Calculates the arithmetic mean of values. MIN : Returns the smallest value in a column. MAX : Returns the largest value in a column. COUNT : Counts the number of rows in a table or column. COUNTA : Counts the number of non-blank values in a column. DISTINCTCOUNT : Counts the number of unique values in a column. Logical Functions: IF : Returns one value if a condition is true and another value if it's false. AND : Returns TRUE if all the conditions are true, otherwise FALSE. OR : Returns TRUE if any of the conditions are true, otherwise FALSE. NOT : Returns the opposite of a logical value. Text Functions: CONCATENATE : Concatenates strings together. LEFT : Returns the leftmost characters from a text string. RIGHT : Ret