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Home 2017 March SQL Server: fix error 3183 RESTORE detected an error on page (0:0) in database as read from the backup set

SQL Server: fix error 3183 RESTORE detected an error on page (0:0) in database as read from the backup set

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SQL Server Error:
Msg 3183, Level 16, State 2, Line 1
RESTORE detected an error on page (8888:65987423) in database “my_db” as read from the backup set

While restoring a SQL Server database from the backup file (.bak file), I got above error. It looks like a database backup corrupted for particular data page.

Following are different reasons behind the error 3183:

  • The backup file got corrupted
  • Unavailability of free space on temporary disk
  • Maybe backup file harm by the viruses
  • Trying to restore a backup on a server with lower version than the backup created
  • Failure of any hardware or bad sector of hard drive

The possible solutions are:

  • You should try RESTORE VERIFYONLY to see more information about the backup failure
  • Verify the source database, use DBCC CHECKDB(‘DatabaseName’) WITH NO_INFOMSGS, ALL_ERRORMSGS on the server the backup was taken on and try to backup it again
  • You could try using RECOVER DATABASE WITH CONTINUE_AFTER_ERROR with the backup command, then run a DBCC CHECKDB on the database
Mar 10, 2017Anvesh Patel
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Anvesh Patel
Anvesh Patel

Database Engineer

March 10, 2017 SQL ServerAnvesh Patel, backup fail, database, database research and development, Database Restore, dbrnd, Error 3183, SQL Query, SQL Server, SQL Server Administrator, SQL Server Error, SQL Server Monitoring, SQL Server Performance Tuning, SQL Server Programming, SQL Server Tips and Tricks, TSQL
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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