Enhancing your SQL querying skills involves understanding how to eliminate duplicate records from your result sets. The `DISTINCT` keyword in SQL serves this purpose by ensuring that the data retrieved contains only unique values. This guide delves into the usage of the `DISTINCT` keyword, providing practical examples to illustrate its application.

Understanding the SQL `DISTINCT` Keyword

In SQL, the `DISTINCT` keyword is used in conjunction with the `SELECT` statement to remove duplicate rows from a result set. This ensures that the returned data consists solely of unique entries. The basic syntax is:

```sql

SELECT DISTINCT column1, column2, ...
FROM table_name;

```

This command retrieves unique combinations of the specified columns from the specified table.

For a comprehensive overview of SQL commands, refer to AI2sql's Comprehensive List of SQL Commands .

Practical Examples of Using `DISTINCT`

1. **Retrieving Unique Values from a Single Column**

To obtain a list of unique countries from a `Customers` table:

```sql

   SELECT DISTINCT Country
   FROM Customers;

```

This query returns each country only once, eliminating any duplicates.

2. **Selecting Unique Combinations from Multiple Columns**

To find unique combinations of city and state from a `Customers` table:

```sql

   SELECT DISTINCT City, State
   FROM Customers;

```

This retrieves each unique pair of city and state, providing a list of distinct locations.

3. **Counting Distinct Values**

To count the number of unique customers who have placed orders:

```sql

   SELECT COUNT(DISTINCT CustomerID) AS UniqueCustomers
   FROM Orders;

```

This returns the total number of unique customer IDs present in the `Orders` table.

For more detailed tutorials, consider AI2sql's Guide to the Not Equal Operator .

Important Considerations

- **NULL Values**: The `DISTINCT` keyword treats all `NULL` values as equal. Therefore, if a column contains `NULL` values, the result set will include only one `NULL` entry among the distinct values.

- **Performance Implications**: Using `DISTINCT` can impact query performance, especially on large datasets, as the database must process and filter out duplicates. It's advisable to use `DISTINCT` only when necessary to ensure optimal performance.

- **Alternative Approaches**: In some scenarios, using the `GROUP BY` clause can achieve similar results to `DISTINCT`, particularly when performing aggregate functions. However, `GROUP BY` groups the result set by one or more columns, which can be useful for aggregation purposes.

For an in-depth exploration, visit AI2sql's Mastering Dates in SQL: Queries, Formats, and Functions Explained .

Practice Exercise

Given a `Sales` table with columns `ProductID`, `CustomerID`, and `SaleDate`, write a query to find the number of unique products sold.

**Solution:**

```sql

SELECT COUNT(DISTINCT ProductID) AS UniqueProductsSold
FROM Sales;

```

This query counts the distinct `ProductID` values, providing the number of unique products that have been sold.

By mastering the use of the `DISTINCT` keyword, you can effectively manage and analyze your data, ensuring that your result sets contain only the unique information pertinent to your queries.

For additional insights, refer to AI2sql's How to Practice SQL in a Playful Way .