Duplicate rows can clutter your database, cause inaccurate reporting, and slow down queries. Whether you're a data analyst, developer, or non-technical user managing data, learning how to efficiently remove duplicates is essential. In this guide, we’ll walk you through various ways to write a SQL query to remove duplicate rows, provide clear examples, and introduce how AI2sql can simplify the process.

Why Removing Duplicate Rows Matters

Duplicate data can lead to:

• Inaccurate analytics and insights

• Redundant storage usage

• Poor application performance

Tidying up your tables helps maintain data integrity and ensures reliable results from queries and reports.

Common Methods to Remove Duplicate Rows in SQL

1. Using ROW_NUMBER() with CTEs (Recommended for Most Cases)

This modern approach allows you to keep the first instance of a record and delete the duplicates using a Common Table Expression (CTE).

WITH Duplicates AS (
  SELECT *,
         ROW_NUMBER() OVER (PARTITION BY column1, column2 ORDER BY id) AS row_num
  FROM table_name
)
DELETE FROM Duplicates WHERE row_num > 1;

Explanation: Replace column1, column2 with the columns that define uniqueness. The query numbers each duplicate group; only the first stays.

2. Using GROUP BY and HAVING

If you need to find duplicates:

SELECT column1, column2, COUNT(*)
FROM table_name
GROUP BY column1, column2
HAVING COUNT(*) > 1;

This helps identify which rows are duplicated.

3. Removing Duplicates by Creating a New Table

CREATE TABLE temp_table AS
SELECT DISTINCT * FROM table_name;

DROP TABLE table_name;
ALTER TABLE temp_table RENAME TO table_name;

This method works for removing all duplicate rows, but use caution as table attributes and indexes may be lost.

How AI2sql Can Help You Remove Duplicate Rows

Not everyone is comfortable writing complex SQL. That’s where AI2sql comes in. Simply describe your task in plain English, such as:

• Input: Remove duplicate rows from the 'customers' table where the same email appears more than once, keeping the earliest entry.

• AI2sql Output:

WITH Duplicates AS (
  SELECT *, ROW_NUMBER() OVER (PARTITION BY email ORDER BY created_at) AS row_num
  FROM customers
)
DELETE FROM Duplicates WHERE row_num > 1;

AI2sql makes writing a SQL query to remove duplicate rows efficient and accessible—even if you aren’t a SQL expert.

Best Practices for Removing Duplicate Rows

• Always back up your data before running delete operations.

• Test your queries with SELECT first to ensure accuracy.

• Know which columns define a 'duplicate' in your context.

Learn More About AI-Powered SQL Solutions

Interested in streamlining your SQL workflow? Explore more resources and guides on the AI2sql blog for practical tips and tools to enhance your database management.

Conclusion

Removing duplicate rows in SQL is vital for maintaining clean and reliable data. By mastering these queries—and leveraging user-friendly tools like AI2sql—you can keep your databases error-free and your insights trustworthy. Start simplifying your SQL tasks today!

Try AI2sql for free and transform the way you write SQL queries.