![]() This causes index fragmentation and might slow the performance of queries that search a range of the index. Shrinking a log file alone can't solve the problem of a full log file, instead, you must discover why the log file is full and can't be truncated.ĭata that is moved to shrink a file can be scattered to any available location in the file. A log file can be shrunk only if there's empty space inside the log file to reclaim. Log truncation occurs on a virtual-log-file (VLF) boundary, and a log file may contain many VLFs. Log Truncation occurs normally during a transaction log backup, and is a logical operation which removes committed records inside the log, whereas log shrinking reclaims physical space on the file system by reducing the file size. There's a difference between truncating a transaction log and shrinking a transaction log. ![]() If no recent transaction log history is indicated for the database with a full transaction log, the solution to the problem is straightforward: resume regular transaction log backups of the database. Truncate the LogĪ very common solution to this problem is to ensure transaction log backups are performed for your database which will ensure the log is truncated. The following specific steps will help you find the reason for a full transaction log and resolve the issue. Replication or availability group synchronization that is unable to complete.Log size is set to a fixed maximum value or autogrow is disabled.The appropriate response to a full transaction log depends on what conditions caused the log to fill. Common reasons for a full transaction log Azure SQL Database and Azure SQL Managed Instance are based on the latest stable version of the Microsoft SQL Server database engine, so much of the content is similar though troubleshooting options and tools may differ. For more specific information on this error in Azure SQL Database and Azure SQL Managed Instance, see Troubleshooting transaction log errors with Azure SQL Database and Azure SQL Managed Instance. ![]()
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