Transaction log file size question

  • Along with that shrink, make sure you account for VLFs. Check the article in my sig list by Kimberly Tripp

    Jason...AKA CirqueDeSQLeil
    _______________________________________________
    I have given a name to my pain...MCM SQL Server, MVP
    SQL RNNR
    Posting Performance Based Questions - Gail Shaw[/url]
    Learn Extended Events

  • Guras (8/19/2011)


    I ran the DBCC openTran(mydb)

    but there is no open transactions.

    How do I to locate queries that consume a large amount of log space?

    Thanks for your help.

    Beyond doing a trace, I provide a handy solution for that in the article I referenced. Using the method I show, you don't have to be running a trace and you don't have to be watching the server at the time the offending process happens. 😉

    Jason...AKA CirqueDeSQLeil
    _______________________________________________
    I have given a name to my pain...MCM SQL Server, MVP
    SQL RNNR
    Posting Performance Based Questions - Gail Shaw[/url]
    Learn Extended Events

  • Thank you all for the replies, they all have been a great help. After reading all the information I have decided to SHRINK the t-log file (and I uderstand that the t-log back up chain will be broken)

    Here is the plan I am planning to undertake

    1.Find the off peak hour ( mostly late at night) and bring the databse to the SINGLE USER MODE

    2.Do a regular t-log back up.

    3. Shrink the file to the samll size as possible by running

    DBCC SHRINKFILE(mydblogfile_log,TRUNCATEONLY)

    4.Alter the databse to modify the transaction log file to a size

    ALTER DATABASE mydatabase

    MODIFYFILE

    (NAME = mydblogfile_log, SIZE = 64MB)

    5. Perform a full back up

    6. Check that the regular t-log back up is running

    Please let me know if I am missing out on some important step. Thanks a lot for all the help. This forum is really great!

  • You don't need single user mode, and nothing in that set of steps will break the log chain.

    Gail Shaw
    Microsoft Certified Master: SQL Server, MVP, M.Sc (Comp Sci)
    SQL In The Wild: Discussions on DB performance with occasional diversions into recoverability

    We walk in the dark places no others will enter
    We stand on the bridge and no one may pass

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