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SQL Basics
Introduction
Create Tables
Data Types
Delete/Modify Tables
Adding new rows
Create Sequences
Retreive Data [Query]
Sub Queries
Single-Row Functions
Group Functions
Formating Data
Joining Multiple Tables
Creating View
 

Retrieving data from a tables


The SELECT statement can be used to retrieve data from any or all columns from a table. Say that you have a table called product, which consists product name, description, price, and etc. This is the statement to retrieve all the columns from the table product.
SELECT *
FROM product
SELECT - specifies retrieval command plus what to select.
*            - stands for everything. In this case, it stands for every column in the table.
FROM   - specifies the table required to retrieve information from.
Now, say that we want to retrieve only the product name, description and price not everything. Here is how you would accomplish it.
SELECT name, description, price
FROM product;

How about if we want search product by specific chrematistics?.  That is when WHERE clause becomes handy.  Where clause is used when only a subset of all the rows in a table is required.  Here is how you would list the name and the price of the products that has the price value less then $100.
SELECT name, price
FROM product
WHERE price < 100;
Here are operators that may be used in the WHERE clause;
= equal to
>, < greater then, less than
<>, !=, ^= not equal to
>=, <= greater then or equal to, less than or equal to.
IS NULL means no value stored in this field.
WHERE price <= 50; will display products selling $50 or less
WHERE price = 50; will display products selling at $50
WHERE description IS NULL; will display products that has no description
WHERE description IS NOT NULL; will display products that has descriptions

There are times you want list items by conditioning two or more characteristics.  For example, if you want list products that are more than $100 or less then $50.  Here is how you would accomplish it.
SELECT *
FROM product
WHERE price < 50 OR price > 1000;

The above statements will display products that are less than $50 or greater than $1000.  Logical operators AND and OR is used in SQL as we use them in English language.  AND will result true when both conditions are met while OR will result true when either condition is true.
SELECT name, description, price
FROM product
WHERE (name = 'Printer'
        OR name = 'Scanner')
     AND price <= 100;

The above query will find all the printers and scanners that are less than or equal $100.  Note how single quotations and parentheses are used.  IN operator can be used instead of OR.  Here is equivalent query that uses IN operator.
SELECT name, description, price
 FROM product
 WHERE name IN ('Printer', 'Scanner')
      AND price <= 100;

When you finding an string value, you cannot sure the correct spelling.  For example Printer can also be printer, PRINTER, or printers.  There are more ways to solve this problem include, changing the column to upper case characters, or using LIKE statement.  The LIKE operator provides pattern matching for character data and uses % which means match zero or more characters and _ which means mach one character that is position-dependent.  Here is an example that uses like operator.
SELECT *
FROM product
WHERE name LIKE 'scan%';
This will display all the products that start scan. It could be scan, scanner, scanners, scan camera, etc.  To list all the items that has the word scan in it, we rephrase the statement like this; WHERE name LIKE '%scan%';.

BETWEEN operator can be used in numeric values to compare column against a range of inclusive values.  This is one example all the products between $50 and $100 inclusive:
SELECT name, description, price
 FROM product
 WHERE price BETWEEN 50 AND 100;

The retrieved data may not be in any specific order unless other ways specified.  Data can be sorted using ORDER BY clause in the select statement. 
SELECT name "Product Name", description "Product Description", price
FROM product
ORDER BY price DESC, name ASC;
This example simply lists product name, description, and the price sorted in descending order and name in ascending order.  The column aliases display more understandable column headers instead of actual column names.

Retrieving Calculated fields

You can perform mathematical calculations while retrieving data from tables or views.  The math operators for sql are same as those of other languages, like +, -, *, /, etc.
Say that you want calculate and display the profit of each item in the product table.  The profit is price minus cost.  Here is how you would do that:
SELECT product_id, name, price, cost, price-cost
   FROM product;
This example displays list of each product's information plus calculated field that dislays item profit [price-cost].

Create Sequence Retrieve Data (Sub Quiry)