Home Database Mysql Tutorial How to use visualization to view tables in mysql database

How to use visualization to view tables in mysql database

Apr 22, 2024 pm 06:51 PM
mysql navicat phpmyadmin

MySQL provides several visualization tools for viewing tabular data: MySQL Workbench: View data in the Data tab. phpMyAdmin: View data in the Browse tab. MySQL Query Browser: View data by executing "SELECT * FROM " query. Navicat: Double-click a table in the Table pane to view data.

How to use visualization to view tables in mysql database

How to use MySQL to visually view tables

MySQL provides a variety of visualization tools that can help you easily view and Understand data in database tables.

1. MySQL Workbench

MySQL Workbench is a powerful graphical database management tool that can be used to view and edit MySQL tables.

  • Open MySQL Workbench and connect to your MySQL database.
  • In the "Table" panel, select the table you want to view.
  • Click the "Data" tab to view the data in the table.

2. phpMyAdmin

phpMyAdmin is a web-based database management tool that can be used to view and edit MySQL tables.

  • Visit phpMyAdmin in your browser.
  • Select your database from the left menu, then select the table you want to view.
  • Click the "Browse" tab to view the data in the table.

3. MySQL Query Browser

MySQL Query Browser is a lightweight graphical database management tool that can be used to view and edit MySQL sheet.

  • Open MySQL Query Browser and connect to your MySQL database.
  • In the "Query" editor, enter the following query:
SELECT * FROM <table_name>;
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  • Click the "Execute" button to view the data in the table.

4. Navicat

Navicat is a commercial database management tool that can be used to view and edit MySQL tables.

  • Open Navicat and connect to your MySQL database.
  • In the "Table" pane, select the table you want to view.
  • Double-click the table to view the data in the table.

Other Tips

  • Use the "ORDER BY" clause to sort the data.
  • Use filters to filter specific data.
  • Use the "LIMIT" clause to limit the amount of data returned.

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