Oracle

Arithmetic operators in Oracle's Data Query Language (DQL) allow you to perform mathematical calculations within your SQL queries. These operators can be used to manipulate numeric data types and are essential for tasks such as calculating totals, averages, and more. Understanding how to use these operators effectively will help you perform more complex queries and analyses on your database.

Here’s a breakdown of the arithmetic operators available in Oracle:

1. Basic Arithmetic Operators

   • Addition (+): Adds two values.
   • Subtraction (-): Subtracts one value from another.
   • Multiplication (*): Multiplies two values.
   • Division (/): Divides one value by another.

2. Using Arithmetic Operators in Queries

   • You can use these operators in the SELECT statement to perform calculations on columns. For example:

     SELECT
         author_id,
         book_price,
         book_price * 1.1 AS price_with_tax
     FROM
         books;
     

   • This example calculates the price of books including a 10% tax.

3. Combining Multiple Operations

   • You can combine multiple arithmetic operations in a single query:

     SELECT
         author_id,
         (book_price * quantity) AS total_price
     FROM
         rentals;
     

   • This computes the total price based on the quantity rented.

4. Working with Aggregate Functions

   • Arithmetic operators can also be used with aggregate functions:

     SELECT
         author_id,
         SUM(book_price) AS total_revenue
     FROM
         rentals
     GROUP BY
         author_id;
     

   • This query calculates the total revenue generated by each author.

5. Best Practices

   • Always ensure that your calculations handle potential division by zero:

     SELECT
         author_id,
         book_price / NULLIF(quantity, 0) AS price_per_unit
     FROM
         rentals;
     

   • Use NULLIF to prevent division by zero errors.

By mastering arithmetic operators, you'll enhance your ability to analyze and manipulate data effectively within Oracle databases.

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SELECT order_number, client_id, order_status_id, order_date,
       sub_total, tax_amount, shipping_amount,
       (sub_total + tax_amount + shipping_amount) AS total_amount
FROM act_order
ORDER BY order_number;

SELECT product_id, product_code, product_name,
       purchase_price, selling_price,
       (selling_price - purchase_price) AS profit_per_unit
FROM prd_product;

SELECT order_id, product_id,
       quantity, unit_rate,
       (quantity * unit_rate) AS sub_total
FROM act_order_detail;

RAW DATA FOR ADDITION OPERATOR

SELECT order_number, client_id, order_status_id, order_date
    sub_total, tax_amount, shipping_amount,
    (sub_total + tax_amount + shipping_amount) AS total_amount
FROM act_order
ORDER BY order_number;

Data Mapping for ADDITION OPERATOR

In this data mapping illustration, it's shown how the 'Total Amount' column, which does not originally exist in the raw data, is generated. This is accomplished by using an addition arithmetic operator within an SQL SELECT statement. This operation effectively adds values from existing columns to compute the total amount for each record.

RAW DATA FOR SUBSTRACTION OPERATOR

SELECT product_id, product_code,
product_name,purchase_price, selling_price
    (selling_price - purchase_price) as profit_per_unit
FROM prd_product;

Data Mapping for SUBSTRACTION OPERATOR

In this data mapping illustration, it's shown how the 'Profit' column, which does not originally exist in the raw data, is generated. This is accomplished by using an substraction arithmetic operator within an SQL SELECT statement. This operation effectively subtracts values from existing columns to compute the profit amount for each record.

RAW DATA FOR MULTIPLICATION OPERATOR

SELECT order_id, product_id,quantity, unit_rate
    ( quantity * unit_rate) as sub_total
FROM act_order_detail;

Data Mapping for MULTIPLICATION OPERATOR

In this data mapping illustration, it's shown how the 'Sub Total' column, which does not originally exist in the raw data, is generated. This is accomplished by using an multiplication arithmetic operator within an SQL SELECT statement. This operation effectively multiplies values from existing columns to compute the total amount for each record.

SELECT order_number, client_id, order_status_id, order_date
    sub_total, tax_amount, shipping_amount,
    (sub_total + tax_amount + shipping_amount) AS total_amount
FROM act_order
ORDER BY order_number;

SELECT product_id, product_code,
product_name,purchase_price, selling_price
    (selling_price - purchase_price) as profit_per_unit
FROM prd_product;

SELECT order_id, product_id,quantity, unit_rate
    ( quantity * unit_rate) as sub_total
FROM act_order_detail;