SQL SELECT statement: select data

The SELECT statement is one of the most fundamental and commonly used commands in SQL. It is used to retrieve data from a database. The data returned is stored in a result table, called the result-set.

Here's the basic syntax:

SELECT column1, column2, ...
FROM table_name;

You can also select all columns in a table using the wildcard *:

SELECT *
FROM table_name;

Examples:

Consider the following Employees table:

EmployeeIDFirstNameLastNameDepartment
1JohnDoeSales
2JaneSmithHR
3AliceJohnsonIT
4CharlieBrownMarketing
  • Select specific columns:

If you want to select only the FirstName and LastName columns, your SELECT statement would look like this:

SELECT FirstName, LastName
FROM Employees;

This SQL statement will return:

FirstNameLastName
JohnDoe
JaneSmith
AliceJohnson
CharlieBrown
  • Select all columns:

If you want to select all columns from the "Employees" table, use the * wildcard:

SELECT *
FROM Employees;

This SQL statement will return all columns from the "Employees" table.

Additional Points:

  • The SELECT statement is not case-sensitive. SELECT is the same as select.
  • SQL requires single quotes around text values (most database systems will also allow double quotes). However, numeric fields should not be enclosed in quotes.
  • The SELECT DISTINCT statement is used to return only distinct (different) values.
  • SELECT can also be used in conjunction with other commands and functions to conduct more complex queries (such as JOIN, WHERE, GROUP BY, and so on).
  • Always remember that SQL commands can vary slightly between different SQL dialects, so always consult the relevant documentation if unsure.
  1. Selecting Specific Columns in SQL:

    • Description: Specify the columns you want to retrieve in the SELECT statement.
    • Code Example:
      SELECT column1, column2
      FROM example_table;
      
  2. Filtering Data with WHERE Clause in SQL SELECT:

    • Description: Use the WHERE clause to filter rows based on specified conditions.
    • Code Example:
      SELECT *
      FROM example_table
      WHERE column1 = 'value';
      
  3. Sorting Results with ORDER BY in SQL SELECT:

    • Description: Use the ORDER BY clause to sort the result set based on one or more columns.
    • Code Example:
      SELECT *
      FROM example_table
      ORDER BY column1 DESC, column2 ASC;
      
  4. Limiting Rows with LIMIT in SQL SELECT:

    • Description: Use the LIMIT clause to restrict the number of rows returned.
    • Code Example:
      SELECT *
      FROM example_table
      LIMIT 10;
      
  5. Using DISTINCT in SQL SELECT:

    • Description: Use DISTINCT to retrieve unique values in the result set.
    • Code Example:
      SELECT DISTINCT column1
      FROM example_table;
      
  6. Aggregating Data with GROUP BY in SQL SELECT:

    • Description: GROUP BY groups rows based on specified columns and allows for aggregate functions like COUNT, SUM, AVG, etc.
    • Code Example:
      SELECT column1, COUNT(*)
      FROM example_table
      GROUP BY column1;
      
  7. Joining Tables in SQL SELECT Statement:

    • Description: Use JOIN clauses to combine rows from two or more tables based on related columns.
    • Code Example:
      SELECT table1.column1, table2.column2
      FROM table1
      INNER JOIN table2 ON table1.column_name = table2.column_name;
      
  8. Subqueries in SQL SELECT Statement:

    • Description: Use subqueries to nest SELECT statements within another SELECT, providing a way to retrieve data for complex conditions.
    • Code Example:
      SELECT column1, (SELECT AVG(column2) FROM another_table) AS average_value
      FROM example_table;