Examining the Differences Between Two MySQL Tables

MySQL tables are the foundation of a MySQL database. A MySQL database is a structured data storage and organization system. This tutorial will show you how to compare MySQL tables with the GUI and CLI. Comparing MySQL tables is important for ensuring consistency, spotting discrepancies and catching errors in data migration. We will also highlight important factors to consider when comparing MySQL tables.

Method 1: Using MySQL Command Line Interface

Before you can use the MySQL command-line interface, you must launch the application first and enter your password. You can then connect to the server by using the client.

Table comparisons with MySQL

Step 1: Prepare the stage

Create two tables in MySQL. Name them “orders” (the first table) and “orders2” (the second). Both tables will have the same columns like “id”, “order date” and “amount”.

Step 2: Filling the tables

Update our tables. Using the “insert” command, we’ll add values such as “order date,” “id,” and “amount,” to the “orders table.” The “orders2′ table will also receive the same treatment.

Create table orders (id int order_date date amount int) using mysql

mysql> insert into orders(id, order_date, amount)





Create table orders2 (id int order_date date amount int)

mysql> insert into orders2(id, order_date, amount)





Step 3: Compare your results!

Around this time, it’s time for a comparison between the two tables. We will compare columns in different tables by using the “select command”. You can compare the “id”, or “order” columns, from both tables.

Use the keywords “where” or “in” in your query to select only records that match. For example, “Select* from orders where (select ID from orders2)” will only select records that match.

Select * from orders using mysql

Where is the id?

Select the id of your order.

The “NOT” keyword will be placed in the query after the “IN” to select only records that don’t match.

Select * from orders using mysql

Where id NOT in

Select the id of your order.

Step 4: Matching Records revealed

Using the “unionall” command, we will combine all the data in both tables and keep duplicate rows. As an example, “Select order date, amount, id from orders union select all” will allow you to choose id from order2 and order date.

To locate records that have a count greater than 1, you can use the commands “group by” or “having”. Records that appear multiple times will be identified as matches.

Select id, order_date and amount using mysql

From (

Select id order_date amount


Union All

Select id order_date amount

Orders 2)


Group by order_date, id or amount

Having count(*), > 1

Follow these simple steps to use MySQL to find matches between two tables.

Method 2: Use a MySQL GUI Tool

When you want to Compare MySQL Tables, you can use the GUI tool in MySQL. You should choose the best tool because each one has different features. Popular choices include:

MySQL Workbench

This is a popular MySQL management tool that has a feature to compare data. It can be used to compare data between two MySQL databases and to synchronize them. You can also create SQL scripts to update the database in one to reflect data from the other. It also offers a variety of features, such as visual data modeling and SQL development.

SQL Delta

This tool allows you to compare two MySQL databases and synchronize their data and structure. It also includes an integrated SQL Editor and a feature for creating SQL scripts that update one database so it matches the other. It also supports different MySQL versions, allows comparisons, and syncs data and schema. It has features that allow you to compare and synchronize your data between different database servers. You can also create detailed reports of the comparison.


This tool allows you to compare two MySQL databases and synchronize their data. This tool compares and syncs data, schema and supports different MySQL versions. It also has a feature for creating SQL scripts to update one database so that it matches the other. It also has a feature to create a detailed report and compare data between different database servers.

Using dbForge for MySQL

This article provides detailed instructions for comparing data between tables using .

  1. Open dbForge Studio to MySQL Server.
  1. Click on New Data Comparison.
  2. Select the Source and Target connection type in the New Data Comparison wizard. There are two words available: “Scripts Folder”, and “Database”.
  3. Choose the SQL Server connection you wish to compare and the database from the dropdown list. Click “Manage …”” and enter all the details to create a connection.
  4. Click on the folder that you wish to compare with the “Scripts Folder”, or use “Browse”, to find it. If you want to create a scripts folder, click “New” and fill in the necessary information.
  5. Click the “Compare button” to compare the data. Click “Next” to access additional wizard pages, and customize the comparison.

To compare and synchronize the script folders, a synchronization script is created. This script can either be opened using an internal browser, or saved as a file. If you choose a scripts directory as the Target, then you can update it after synchronization.

  1. Consider turning on “Ignore spaces after object names” as well as “Ignore trailing space” when using a scripts directory.

When using a scripts directory as the data source for the object, the table definition comments are lost if you change the table after the script is updated.

It’s a good idea, when using a scripts directory as a source of data, to also enable the option to ignore spaces and trailing spaces. It is possible that MySQL Server may not handle white space or comments at the start and end of object definitions, such as rules, views, stored procedures and stored procedures. All of these can be used to find every MySQL data diff or MySQL table diff in databases

You can read more about it here:

A MySQL database is made up of tables. In this guide, we show you how to compare MySQL tables using the MySQL Command Line Interface (CLI) and GUI tools. We’ve highlighted key factors to help you compare the tables.

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