Download the Free MySQL Recovery Tool to Recover MySQL Database

2 Ways to Recover MySQL Database Files (with Images) Step 1: Using MySQL Backup and Restore 1. **Backup your database:** Before attempting recovery, ensure you have a recent backup of your MySQL database. You can create a backup using the `mysqldump` command-line tool. ``` $ mysqldump -u [username] -p[password] [database_name] > [backup_file.sql] ``` Replace `[username]`, `[password]`, `[database_name]`, and `[backup_file.sql]` with the appropriate values. 2. **Restore the backup:** If your database is corrupted or lost, you can restore it from the backup file. ``` $ mysql -u [username] -p[password] [database_name] < [backup_file.sql] ``` Step 2: Using Third-Party Tools 1. **Choose a recovery tool:** There are several third-party tools available for MySQL database recovery, such as Stellar Repair for MySQL, tools Mysql Data Recovery Wizard, or Remo Repair MySQL. Choose one that suits your needs. 2. **Download and install:** Download the chosen tool and follow the installation instructions provided by the software developer. 3. **Connect to the MySQL server:** Launch the tool and provide the necessary connection details, like host, username, password, and database name. 4. **Scan for damaged files:** The tool will scan your MySQL database files for corruption or damage. 5. **Preview and recover data:** Once the scan is complete, preview the recoverable data. Select the tables or records you want to recover and initiate the recovery process. 6. **Save the recovered data:** The tool will save the recovered data as a new SQL script or directly to a MySQL server. Follow the software's instructions to complete the recovery. Remember that proper backup practices are crucial to minimize data loss in case of emergencies. Regularly backing up your databases can save you a lot of trouble in the future.

Don't worry if you've lost files or data from a MySQL database. You can perform MySQL recovery using a specialized tool or through Binlog.

Translate into English

What Is MySQL Database? MySQL is an open-source relational database management system (RDBMS) that uses Structured Query Language (SQL). It is widely used for storing, managing, and retrieving data in web applications, content management systems, e-commerce platforms, and various other applications. Developed by Oracle Corporation, MySQL is known for its speed, reliability, and flexibility, making it one of the most popular databases in the world. The key features of MySQL include: 1. Open-Source: MySQL is free to use, modify, and distribute under the GNU General Public License, which encourages adoption and community support. 2. Relational: It follows the client-server model, where data is organized into tables with predefined relationships, enabling efficient data retrieval and manipulation. 3. SQL Support: MySQL supports SQL, the standard language for managing relational databases, allowing users to easily create, update, and query data. 4. Scalability: MySQL can handle large databases and can scale both horizontally (by adding more servers) and vertically (by upgrading hardware). 5. Security: It offers robust security features, including user privileges, encrypted connections, and access control, ensuring data protection. 6. Performance: Optimized for speed, MySQL can process millions of queries quickly, making it suitable for high-traffic websites and applications. 7. Cross-Platform Compatibility: MySQL works on various operating systems, such as Windows, Linux, macOS, and Unix, allowing developers to work on different environments. 8. Community and Support: With a vast community of users and developers, MySQL benefits from continuous updates, bug fixes, and extensions. In summary, MySQL is a powerful, cost-effective, and versatile database solution that plays a crucial role in modern web development and data management.

A database is an organized collection of data, which can range from a straightforward shopping list to a picture gallery or the enormous quantities of information found in a corporate network. To manage, access, and manipulate data stored within a computer database, you require a Database Management System (DBMS) like MySQL Server. Given that computers excel at handling substantial amounts of data, DBMSs hold a pivotal position in computing, functioning independently or as integral components of other applications.

MySQL is a Relational Database Management System (RDBMS) rooted in SQL (Structured Query Language). Initially launched in January 1998, MySQL is now a key component of the product suite of its parent company, MySQL AB, which includes database servers and development tools. It finds application in diverse fields such as data warehousing, e-commerce, Web databases, logging applications, and distributed applications. Due to its swift performance, high reliability, user-friendly interface, and substantial cost efficiency, it has now become the world's most popular open-source database.

The Best MySQL Database Recovery Software (Recommended)

MySQL database files typically have extensions of FRM, MYD, and MYI. The *.FRM files store table definitions, *.MYI files are MyISAM index files, and *.MYD files contain the table data. Just like other forms of data, you might lose your MySQL files due to accidental deletion, improper formatting, partition loss, system crashes, or virus infections. Despite your best efforts to prevent it, data loss can still occur.

Next, how do you recover MySQL data when the issue arises but you don't have a backup? In this case, we recommend trying the Data Recovery Wizard tool. We highly suggest using the Data Recovery Wizard tool, which is capable of handling various data loss scenarios and retrieving the MySQL database file from them. Additionally, it boasts several notable features:

How to Recover MySQL with MySQL Data Recovery Tool

Recovering lost or corrupted MySQL data can be a daunting task, but with the right tools, it can be made much easier. The MySQL Data Recovery Tool is one such software that specializes in retrieving data from damaged MySQL databases. Here's a step-by-step guide on how to use it: 1. **Download and Install the Tool:** First, download the MySQL Data Recovery Tool from a reliable source. Install it on your computer following the on-screen instructions. 2. **Launch the Software:** Once installed, open the application. You should see a user-friendly interface with various options. 3. **Connect to the MySQL Server:** In the tool's main window, you'll need to provide details to connect to your MySQL server. Enter the host (usually 'localhost' for local installations), username, password, and the database name you want to recover. 4. **Select Recovery Mode:** The tool usually offers two recovery modes - Quick Scan and Deep Scan. Quick Scan is faster but may not find all deleted records. Deep Scan takes more time but is more thorough. Choose the appropriate mode based on your situation. 5. **Initiate the Scanning Process:** Click on the 'Start Scan' button to initiate the recovery process. The tool will scan the selected database for any damaged or lost data. 6. **Preview Recoverable Data:** During the scan, the tool will display a preview of the recoverable data. You can browse through the tables and records to ensure the data you need is present. 7. **Select Tables and Records:** Check the boxes next to the tables or specific records you wish to recover. You can choose to recover everything or selectively pick what's important. 8. **Save and Recover Data:** Once you've made your selections, click on 'Recover' or 'Export' to save the recovered data. Choose a safe location on your computer to store the recovered files. 9. **Import Recovered Data:** After the recovery process is complete, you'll need to import the saved data back into MySQL. Use the 'mysqlimport' command-line utility or a GUI tool like phpMyAdmin to import the SQL dump file. 10. **Verify Data Integrity:** Lastly, log in to your MySQL server and verify that the recovered data has been successfully imported and is in its original state. Remember, prevention is better than cure. Regularly backup your MySQL databases to avoid the need for data recovery in the future.

Download the Data Recovery Wizard tool and retrieve your lost MySQL data as soon as possible. Launch the application and follow these simple steps to recover your missing MySQL files.

Step 1. Run the Data Recovery Wizard tool on your computer. Select the drive where you lost the files and click "Scan". If the lost files were on an external storage device, first connect it to your computer.

Step 2. The software will promptly scan the deleted files and then automatically initiate a deep scan to locate more missing files. Once the scan is complete, you can utilize the "Filter" option to swiftly filter specific file types.

Step 3. Click the "Preview" button or double-click on a file for a full preview. Finally, select the desired files, click "Recover," and choose another safe location to save all the files at once.

If you have other data loss issues, you can also download this MySQL file recovery software to easily retrieve pictures, videos, and documents with just a few clicks.

How to Recover MySQL from Binary Log (Binlog)

The prerequisite for recovering data from Binlog is that the MySQL Binlog must be enabled. If Binlog logging is not activated, disregard this approach. To verify if Binlog is enabled, you can inspect the MySQL configuration file. The log files are typically located in the /var/lib/mysql directory.

Step 1. Log in to MySQL and use the command to view the Binlog:

1. `# cat /etc/my.cnf` 2. `# mysql -uroot -p` 3. `mysql> show variables like 'log_bin%';` 4. `# ll /home/programs/mysql-5.6.26/data/mysql-bin*`

Step 2. Locate the incorrect statement in the Binlog.

You can locate the execution time of the erroneous statement in the Binlog and replay the logs up to that point. Alternatively, you can skip this step and directly restore the entire Binlog. Afterward, open the SQL file and remove the erroneous statement.

Run the following command: ```shell # sudo mysqlbinlog --base64-output=DECODE-ROWS -v -d ids --start-datetime '2016-10-11 15:22:53' mysql-bin.000001 > /home/stack/data.sql ``` This command decodes base64-encoded rows, outputs verbose information, uses the database 'ids', and starts from the datetime '2016-10-11 15:22:53' in the binary log file 'mysql-bin.000001'. The resulting output is redirected to the file '/home/stack/data.sql'.

Step 3. Recover MySQL from Binlog

Use the MySQL Binlog command to directly restore the Binlog log to an SQL script, and you can specify the start and end times.

If multiple Binlog files have been generated since the last backup (it is advisable to perform a Binlog refresh simultaneously with the backup), export them to SQL and then import them into the database in chronological order, starting from the smallest file to the largest.

```bash # sudo mysqlbinlog --base64-output=DECODE-ROWS -v -d ids --start-datetime '2016-10-11 15:22:53' mysql-bin.000001 > /home/stack/data.sql ``` This is a command in Linux used to extract binary log events from the MySQL server named 'ids' starting from the datetime '2016-10-11 15:22:53' from the file 'mysql-bin.000001'. The '--base64-output=DECODE-ROWS' option decodes base64-encoded row events, '-v' provides verbose output, and the result is redirected to a file named 'data.sql' in the '/home/stack/' directory. This command must be run with superuser privileges (hence the 'sudo').

This image shows a step in the process of recovering a MySQL database from binary logs. The text within the image may describe a specific action or instruction for the recovery process. However, without the actual text in the image, a direct translation cannot be provided. If you need assistance with the content of the image or the process of recovering a MySQL database from binary logs, please provide more details or the text within the image.

Step 4. Restore data to MySQL

When restoring data, there might be duplicate data errors. It's recommended to use the -f parameter to ignore them.

• # mysql -uroot -p -f ids < data.sql

Conclusion

That's all about the MySQL database. If you have enabled Binlog, it is recommended to use Method 2. If you don't have any backups, it is suggested to opt for Method 1. Data recovery software can effectively restore FRM, MYD, MYI files, and more.