How to run sql file in navicat
How does navicat run sql files?
First open Navicat on the computer
Click the connection on the left
Select the database you are using from the drop-down options
and then provide the corresponding information, such as user name, user password, connection name
After creation, it will be the following picture
Navicat for mysql usage tutorial"
Import and execute the SQL file
Right-click on the location of the specified database and select Run SQL fileNotes
After execution, no changes will be seen without refreshing, so you can refresh the database first##Then you can see that a new table has been created
The above is the detailed content of How to run sql file in navicat. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Navicat Keygen Patch is a key generator that activates Navicat Premium, allowing you to use the full functionality of the software without purchasing a license. How to use: 1) Download and install Keygen Patch; 2) Start Navicat Premium; 3) Generate the serial number and activation code; 4) Copy the key; 5) Activate Navicat Premium, and Navicat Premium can be activated.

Steps to perform SQL in Navicat: Connect to the database. Create a SQL Editor window. Write SQL queries or scripts. Click the Run button to execute a query or script. View the results (if the query is executed).

How to check if Navicat is activated: View the Registration Information section in the "About Navicat" of the Help menu: Activated: Show valid registration information (name, organization, expiration date) Not activated: Show "Not Registered" or "Register Information Not Available" Check the activation icon in the toolbar: The green icon indicates that the active observation trial period countdown: The trial version will show the countdown at startup, the activated version will not view feature limitations: The trial version may limit advanced features, and the activated version will unlock all functions

Create a database using Navicat Premium: Connect to the database server and enter the connection parameters. Right-click on the server and select Create Database. Enter the name of the new database and the specified character set and collation. Connect to the new database and create the table in the Object Browser. Right-click on the table and select Insert Data to insert the data.

You can create a new MySQL connection in Navicat by following the steps: Open the application and select New Connection (Ctrl N). Select "MySQL" as the connection type. Enter the hostname/IP address, port, username, and password. (Optional) Configure advanced options. Save the connection and enter the connection name.

To copy a database using Navicat: Create a new database and specify the connection information. Select the table to copy and select Contain data. Specify a limit (optional) in the Restrictions tab. Start the copy process and check the results.

Navicat provides data analysis capabilities, including: Create pivot tables: Aggregate data by field. Draw charts: Visualize data patterns. Writing SQL queries: perform complex analysis.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.
