How to modify data in navicat

Methods to use Navicat to modify data include: manual modification in table data view. Use the SQL editor to execute SQL statements. From/export data sources such as CSV or Excel. Modify the table structure.

How to use Navicat to modify data

Navicat is a powerful database management tool that allows users to easily and efficiently Modify the data in the database. The following are the steps to modify data in Navicat:

Step 1: Connect to the database

• Open Navicat and enter your database connection information, including database type, Host, username and password.
• Click the "Connect" button to establish a connection.

Step 2: Navigate to the target table

• In the left navigation pane, expand Database and locate the table for which you want to modify data.
• Double-click the table name to open the table data view.

Step 3: Select the row you want to modify

• Click the row you want to modify, the row will turn blue with a darker color border.
• You can also search for specific records by using the Find tool.

Step 4: Modify data

• Double-click the cell to activate edit mode.
• Enter a new value or use the drop-down list to select a value (if applicable).
• Press Enter to save changes.

Step 5: Submit changes

• After the modification is completed, click the "Submit" button on the toolbar.
• Navicat will push the changes to the database server.

Other methods of modifying data

In addition to manual modification in table data view, you can also use the following methods to modify data in Navicat:

• SQL Editor:You can use the SQL Editor to write and execute SQL statements to modify data.
• Import/Export Data:You can import data from CSV, Excel, or other data sources, or export data to these formats.
• Table design:You can modify data indirectly by modifying the table structure (for example, adding or removing columns).

Tips

• It is recommended to back up the database before modifying the data.
• If you are unsure about changes, you can use the "Undo" function to revert to the previous state.
• For large data sets, using SQL statements or import/export functions is more efficient than manual modification.

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