Guide to Recover Data from MySQL Database Using SysInfo MySQL Recovery Software

STEP 1

Launch SysInfo MySQL Database Recovery to recover and extract corrupted data from MySQL Database.

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STEP 2

Click on Open Button and browse your corrupted MySQL Database file. Add the file by selecting the Database location of the system. You can change the saving location of the Temp or LOG that totally optional. Press Ok to start the Scanning process.

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STEP 3

Scanning Process will help you add the MySQL files within the Application from your system location. Click OK to Preview the database table and records.

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STEP 4

Here you can preview every Tables or Events or Function from the MySQL Database file with complete column and row preview feature. To the save the record, select any table from the list in the left panel and select the Save Button from the taskbar.

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STEP 5

Here you can see, you are offered with two saving modes. Either you can save the record or table directly in your database by entering Server, Post, User and Password or save it as a Script. Choose for the option suitable for you and Click OK.

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STEP 6

If you want to save the data a Script then select the destination location to save it on your system.

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STEP 7

Once your Script is saved, the application shows you the message that your script is saved, Click OK to finish the recovery.

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Complete Software Documentation

Taskbar Menu

Menu Description
sysinfo software menu Open: Select this button to open corrupt MySQL file
sysinfo software menu Stop:Select button to stop the current running process
sysinfo software menu Save SQL data: This button is used to save the recovered file
sysinfo software menu Help: Click here if you need help about the software
sysinfo software menu About: Click here to know more about the software.
Minimum System Requirement
my sql database recovery sysinfo box
What's New in this Version?
sysinfo box
  • Offers a preview of data from SQL Backup.
  • Supports Database created on Linux and Windows.
  • Upgraded with auto Log generation features.
  • Save the recovered data into as a new database file
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