SQL Fundamentals: INSERT, UPDATE, and DELETE

In this lesson, you will learn how to modify data stored in a database using the fundamental SQL commands: `INSERT`, `UPDATE`, and `DELETE`. You'll understand the syntax and proper usage of these commands to add, change, and remove data from database tables effectively.

Learning Objectives

  • Understand the purpose of `INSERT`, `UPDATE`, and `DELETE` commands.
  • Write correct SQL syntax for `INSERT` statements to add new rows.
  • Write correct SQL syntax for `UPDATE` statements to modify existing data.
  • Write correct SQL syntax for `DELETE` statements to remove rows from tables.

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Lesson Content

Introduction to Data Modification

Databases are designed to store and manage information. Sometimes, this information needs to be changed. This is where the INSERT, UPDATE, and DELETE SQL commands come in. They are the core statements for manipulating the data within your database tables. Incorrect use can lead to unintended consequences, so understanding the syntax and implications of each command is crucial. We will use examples based on a simple Customers table with columns like CustomerID, FirstName, LastName, City, and Country.

INSERT: Adding New Data

The INSERT statement is used to add new records (rows) to a table. The basic syntax is: INSERT INTO table_name (column1, column2, column3, ...) VALUES (value1, value2, value3, ...);.

Example: To add a new customer:

INSERT INTO Customers (FirstName, LastName, City, Country) VALUES ('John', 'Doe', 'New York', 'USA');
  • Important Notes:
    • You can omit listing columns if you are providing values for all columns in the correct order. For example, INSERT INTO Customers VALUES (1, 'John', 'Doe', 'New York', 'USA'); (assuming CustomerID is an auto-incrementing integer). However, it's generally considered best practice to explicitly list the columns to make the statement clearer and more maintainable.
    • Values must match the data types defined for the columns (e.g., strings for FirstName, numbers for numeric columns, etc.).
    • String values need to be enclosed in single quotes (').
    • If a column has a NOT NULL constraint, you must provide a value for it (unless the column has a default value). Consider the constraints in your database. For instance, CustomerID will likely be a primary key which is usually NOT NULL and UNIQUE and could be auto-incrementing so we don't have to specify it.

UPDATE: Modifying Existing Data

The UPDATE statement is used to modify existing records (rows) in a table. The basic syntax is: UPDATE table_name SET column1 = value1, column2 = value2, ... WHERE condition;.

  • The WHERE clause is crucial; it specifies which rows to update. If you omit the WHERE clause, all rows in the table will be updated, which can be disastrous!

Example: To update John Doe's city:

UPDATE Customers SET City = 'Los Angeles' WHERE FirstName = 'John' AND LastName = 'Doe';
  • Important Notes:
    • Always use a WHERE clause to avoid unintentionally updating all records.
    • You can update multiple columns in a single UPDATE statement, as shown above.
    • Be careful when using WHERE clauses with conditions that can match multiple rows. If that is not your goal, make sure the WHERE clause will only affect a single row (for example, by using the primary key).

DELETE: Removing Data

The DELETE statement is used to remove records (rows) from a table. The basic syntax is: DELETE FROM table_name WHERE condition;.

  • Like UPDATE, the WHERE clause is essential. Without it, all rows will be deleted from the table (be careful!).

Example: To delete John Doe's record:

DELETE FROM Customers WHERE FirstName = 'John' AND LastName = 'Doe';
  • Important Notes:
    • Always use a WHERE clause to avoid accidentally deleting all data.
    • Deleted data is generally gone permanently (unless you have backups or a transaction log).
    • Consider the relationships between tables when deleting data. Deleting data that other tables depend on (foreign key constraints) might lead to errors or data integrity issues (this topic is discussed in more advanced courses). Be aware of database constraints.
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