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February 13, 2023

[TIL] How to query all users that have the same first name in Postgres

An example SQL query for PostgreSQL that will list all users that have duplicated first names:

A SQL query to list all users with duplicated first names can be useful in a variety of scenarios, including:

  • Data Quality Checks: Duplicate data can cause a variety of issues, such as inaccurate reporting or unexpected behavior in your application. By identifying users with duplicated first names, you can take steps to resolve the duplicates and ensure the accuracy of your data.
  • De-duplication: If you need to remove duplicates from your data, you can use this query as a starting point to identify which records need to be merged or deleted.
  • Auditing: This query can be used to help identify potential data entry errors, such as typos or duplicated records being entered into the system.
  • Improved User Experience: If your application requires unique first names for each user, this query can help you identify and resolve duplicates so that your users can be correctly identified and served.
  • Overall, the goal of this query is to help you ensure the quality and accuracy of your data, and to help you make informed decisions about how to manage that data.

    Here's an example SQL query for PostgreSQL that will list all users that have duplicated first names:

    sql
    WITH cte AS (
    SELECT first_name, count(*)
    FROM users
    GROUP BY first_name
    HAVING count(*) > 1
    )
    SELECT u.*
    FROM users u
    JOIN cte ON u.first_name = cte.first_name

    The guide demonstrates how to use a SQL query to identify duplicate first names in a table of users by utilizing the GROUP BY and HAVING clauses. The query groups the rows in the table by the first name column and uses the HAVING clause to specify that the count of first names must be greater than one in order to be considered a duplicate. The query returns a list of all first names that appear more than once in the table, along with the number of times each name appears.

    This article can be useful for individuals who work with databases and need to find and analyze data in a table of users in a PostgreSQL database. The SQL query provided in the article can be adapted for use in similar situations and can help users quickly identify duplicates in their data.