SQLServerCentral Editorial

The Yutes

I recently had the opportunity to talk a little PostgreSQL with the Salt Lake City PostgreSQL Meetup group (thank you for having me by the way). Great bunch of people who were really engaged and asked a lot of questions. On the way out of the event, I was chatting with one person (who had […]

Stairway to Transaction Log Management

Stairway to Transaction Log Management in SQL Server, Level 9: Monitoring the Transaction Log

Our major goal in terms of log maintenance for all databases under our care is to optimize for write performance, in order to support all activities that require SQL Server to write to the log, including data modifications, data loads, index rebuilds, and so on. However, it's also important to keep an eye on possible log fragmentation, which, as described previously, can affect the performance of processes that need to read the log, such as log backups and the crash recovery process.

External Article

A Rolling Filtered Index in SQL Server

I recently resolved an issue where a query pulling data from the last 30 days would time out due to the table’s size and the lack of a supporting index. Creating a supporting index is possible, but not ideal; it will be very large and may not be useful for most queries and use cases. I wonder how I could implement a filtered index that follows time and is always limited to the last n days.

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Question of the Day

Creating JSON III

In a SQL Server 2025 table, called Beer, I have this data:

BeerIDBeerName
1Becks
2Fat Tire
3Mac n Jacks
4Alaskan Amber
8Kirin
I run this code:
SELECT JSON_OBJECTAGG(
    BeerID: BeerName )
FROM beer;
What are the results?

See possible answers