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SQL - DISTINCT

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Understanding the DISTINCT Keyword in SQL

The DISTINCT keyword in SQL is a powerful tool used to eliminate duplicate records from the result set of a query. When you want to retrieve unique values from a column or a combination of columns, DISTINCT ensures that your results are clean and concise, showing only distinct entries.

In simpler terms, DISTINCT helps you get rid of any repeated data, allowing you to focus on unique values.

A Practical Example

Imagine you are managing a database for a bookstore, and you have a table that records all the books sold:

Sales Table:

SaleID BookTitle Author SaleDate
1 The Great Gatsby F. Scott Fitzgerald 2024-01-10
2 1984 George Orwell 2024-01-12
3 The Great Gatsby F. Scott Fitzgerald 2024-01-15
4 To Kill a Mockingbird Harper Lee 2024-01-20
5 1984 George Orwell 2024-01-22

You want to find out which unique book titles have been sold, regardless of how many times they appear in the sales records.

SQL Query Using DISTINCT

To achieve this, you would use the DISTINCT keyword in your SQL query:

SQL icon SQL
SELECT DISTINCT BookTitle
FROM Sales;

Result of the Query

This query retrieves all unique book titles from the sales table. The output would look like this:

BookTitle
The Great Gatsby
1984
To Kill a Mockingbird

In this result, you can see that "The Great Gatsby" and "1984" appear only once, even though they were sold multiple times. The DISTINCT keyword has effectively filtered out the duplicates.

Why Use DISTINCT?

Using DISTINCT is beneficial when you want to ensure that your results are not cluttered with repeated entries. In our example, knowing the unique titles sold can help you analyze sales trends, manage inventory, or plan future purchases without the noise of duplicate data.

Key Takeaways:

  • DISTINCT: Eliminates duplicate records from the result set, ensuring that only unique values are returned.
  • Data Clarity: Helps maintain a clear view of your data, making it easier to analyze and interpret.
  • Common Use Cases: Ideal for retrieving unique values from lists, such as customer names, product categories, or any scenario where duplicates may exist.

Understanding how to use the DISTINCT keyword effectively can enhance your SQL querying skills, leading to more insightful data analysis. It’s a fundamental aspect of working with databases that every data analyst or database manager should master.

Happy querying!

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