Logical inconsistency in database can lead to SQL Server database corruption. It normally affects your valuable and precious data by making it inaccessible and results as data loss. All database applications related to back-end and front-end roles of the SQL Server database get halted.
Sometime, when you try to open your SQL Server database (MDF file), you might encounter the following error message:
“Error: 824, Severity: 24, State: 2.
SQL Server detect a logical consistency-based I/O error: incorrect pageid (expected 1:1863; actual 0:96). It occurred during a read of page (1:1863) in database ID 4 at offset 0×00000000e8e000 in file ‘F: MSSQL.1MSSQLDATAMSDBData.mdf’. Additional messages in the SQL Server error log or system event log may provide more detail. This is a severe error condition that threatens database integrity and must be corrected immediately. Complete a full database consistency check (DBCC CHECKDB). This error can be caused by many factors; for more information, see SQL Server Books Online.”
After this error message, when you run DBCC CHECKDB command to check and fix your database inconsistency problems, you might come across additional error message stating:
“Msg 945, Level 14, State 2, Line 1
Database ‘magirisilica_s24′ cannot be opened due to inaccessible files or insufficient memory or disk space. See the SQL Server error log for details.”
This action of SQL Server causes data inaccessibility and data loss. To overcome this problem, you need to know the cause of this problem.
Root of this issue
You might meet data detachment and database contradiction problem due to MDF file corruption. Such corruption could be the result of issues like hardware problems, file system errors, application malfunction and improper system shutdown.
Resolution
To sort out this problem, you need to opt for MDF recovery. It is the process of systematically scanning the damaged MDF file and extracting best possible amount of data from it.
It can be performed with the help of SQL Database Recovery software. These are highly automated tools that arrange efficient scanning methods to retrieve your data from damaged database file.


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