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Database Mirroring Suspended - SQL Server Assertion: File: <loglock.cpp>, line= Failed Assertion by MissTipps

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Type: Bug
ID: 770993
Opened: 11/13/2012 8:36:14 PM
Access Restriction: Public
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Workaround(s)
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User(s) can reproduce this bug
Running SQL Server 2008 R2 SP2 V.10.50.4000. (this is not a CTP as suggested in the 'Version' drop-down while completing this form)

Database mirroring is suspended. Stack dump occurs and SQL Error log reads:
SQL Server Assertion: File: <loglock.cpp>, line=807 Failed Assertion = 'result == LCK_OK'. This error may be timing-related.

I'm running database mirroring in high performance mode. Applied SP after previously experiencing this error and referring to http://support.microsoft.com/kb/974319?wa=wsignin1.0.

Problem has re-surfaced. I have multiple databases mirrored but this issue will occur on a single database, seemingly at random.
Details (expand)

Product Language

English

Version

SQL Server 2008 R2 SP2 CTP

Category

SQL Engine

Operating System

Windows Server 2008 Enterprise

Operating System Language

English

Steps to Reproduce

Configure database mirroring in asynchronous mode (high-performance)...and wait

Actual Results

Stack dump and error message on partner (mirror) server:
Message
SQL Server Assertion: File: <loglock.cpp>, line=807 Failed Assertion = 'result == LCK_OK'. This error may be timing-related. If the error persists after rerunning the statement, use DBCC CHECKDB to check the database for structural integrity, or restart the server to ensure in-memory data structures are not corrupted.

Expected Results

Expected that mirroring would perform without error

Platform

X64

Virtualization

 
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Posted by Microsoft on 11/21/2012 at 1:10 PM
Hi MissTipps,
    
thanks for taking the time to share your feedback, this is really important to us.
We will investigate the issue and get back to you.

Best regards
Jean-Yves Devant 
Program Manager Servicing and Lifecycle Experience of High Availability Technologies in SQL Server
Program Manager SQL Server Replication, Change Data Capture, Change Tracking
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