Use Navicat to import Excel tables into the database: connect to the database. Create database tables. Right-click on the table and select Import Wizard. Select the Excel file type and browse to select the file. Match Excel columns to database fields. Preview the data and click Import.
Tutorial: How to use Navicat to import Excel tables into the database
Introduction:
Navicat is a popular database management tool that can be used to import data into a database from various formats, including Excel tables. This article will guide you step by step on how to use Navicat to import an Excel table into a database.
Steps:
1. Connect to the database:
- In Navicat, click "Connect" tab and select the type of database to connect to.
- Enter the database server, port, username and password.
- Click the "Connect" button.
2. Create a table:
- Right-click the database into which you want to import data, and select New > Table.
- Enter the table name and click OK.
3. Import the Excel file:
- Right-click the table you created and select Import Wizard.
- Select "Excel File" as the source file type.
- Browse and select the Excel file to import.
- Specify the data range and delimiter to be imported.
- Click "Next".
4. Mapping fields:
- Navicat will automatically detect the columns in the Excel file and match the fields in the database table.
- You can drag and drop fields to match them, or click the Map button to manually configure the mapping.
- Click "Next".
5. Preview and Import:
- At this point, you can preview the data that will be imported.
- Check the "Create table before importing" box to create a table if you haven't already.
- Click the "Import" button to start the import process.
6. View the imported data:
- After the import is completed, you can right-click the table and select "Browse Data" to view the imported data. data.
Tip:
- If the Excel file contains null values, make sure you set the correct delimiter in the Import Wizard.
- You can use SQL queries to verify imported data and ensure it is accurate.
- Navicat supports a variety of data types, including text, numbers, dates, and timestamps.
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