Transaction Log

External Article

Optimizing Transaction Log Throughput

  • Article

As a DBA, it is vital to manage transaction log growth explicitly, rather than let SQL Server auto-growth events "manage" it for you. If you undersize the log, and then let SQL Server auto-grow it in small increments, you'll end up with a very fragmented log. This article demonstrates how this can have a significant impact on the performance of any SQL Server operations that need to read the log.

2014-05-27

3,916 reads

External Article

Manual cleanup Change Data Capture for a SQL Server database

  • Article

Kun Lee had a database where the log file kept growing and used 99.99% of the available space. He noticed miscellaneous change data capture objects still in the database as well as open transactions. This was causing his transaction log to continue to grow, but he couldn't disable CDC, because SQL Server thought it was not enabled. Read the full article to see his solution.

2013-09-11

3,682 reads

Blogs

Ramblings about data communities and your contributions, no excuses

By

I have been active in the data community throughout my career. I have met...

SQL Server Journey till 2025 (brief)

By

Quick Summary for Microsoft SQL Server till 2025, I am fortunate to be part...

Building Power BI Reports: Desktop vs Fabric

By

Why this comparison feels confusing If you’re a Power BI report author who’s just...

Read the latest Blogs

Forums

Having a Little Fun at SQL Server Central

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Having a Little Fun at...

Designing SQL Server Pipelines That Are Ready for AI Before You Actually Need AI

By AR

Comments posted to this topic are about the item Designing SQL Server Pipelines That...

String Similarity I

By Steve Jones - SSC Editor

Comments posted to this topic are about the item String Similarity I

Visit the forum

Question of the Day

String Similarity I

On SQL Server 2025, when I run this, what is returned?

SELECT EDIT_DISTANCE_SIMILARITY('SQL Server', 'MySQL')

See possible answers