Blogs

Lost Updates Under Read Committed Snapshot Isolation (RCSI)

Lost Updates Under Read Committed Snapshot Isolation (RCSI)

I shared an image on social media this week that describes how I feel about isolation levels in SQL Server (and its various flavors): the more concurrent sessions you have in a database reading and writing data at the same time, the more attractive it is to use version-based optimistic locking for scalability reasons.

There are two isolation levels in SQL Server that use optimistic locking for disk-based tables:

  1. Read Committed Snapshot Isolation (RCSI), which changes the implementation of the default Read Committed Isolation level and enables statement-based consistency.
  2. Snapshot Isolation, which provides high consistency for transactions (which often contain multiple statements). Snapshot Isolation also provides support for identifying update conflicts.

Many folks get pretty nervous about RCSI when they learn that certain timing effects can happen with data modifications that don’t happen under Read Committed. The irony is that RCSI does solve many OTHER timing risks in Read Committed, and overall is more consistent, so sticking with the pessimistic implementation of Read Committed is not a great solution, either.

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Automated Deployments and the Art of the Database with Database Michael J Swart

Automated Deployments and the Art of the Database with Database Michael J Swart

By Kendra Little on September 26, 2023 • 1 min read

In this episode, Michael J Swart joins the Dear SQL DBA Podcast to talk about databases, automation, and how he’s come to illustrate some of the coolest blog posts ever to be written about data.

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PAGELATCH, PAGEIOLATCH, and LATCH Waits in SQL Server

PAGELATCH, PAGEIOLATCH, and LATCH Waits in SQL Server

I’ve long found it tricky to remember and explain the differences between three similar-sounding waits in SQL Server that all have “LATCH” in the name: PAGELATCH, LATCH, and PAGEIOLATCH waits.

Here’s an illustration that explains these waits, along with wait subtypes.

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Jer and Kendar Explore Optimized Locking

Jer and Kendar Explore Optimized Locking

🔥 UPDATE (November 2025): Microsoft has introduced optimized locking v2 with significant improvements. The new version includes Skip Index Locks (SIL) and Query Plan LAQ Feedback Persistence, which further reduce lock overhead. The improvements are most pronounced for nonclustered indexes. Optimized locking v2 is available in SQL Server 2025 and Azure SQL.

SQL Server has a new feature that’s currently only available in Azure SQL Database: Optimized Locking.

Jeremiah Peschka joins Kendra (aka Kendar) to talk through the docs and nerd out on locks, blocks, and how to pronounce the acronym “LAQ”.

Prefer to explore optimized locking with a diagram? I’ve also got a little sketchnote for ya.

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Dear SQL DBA - Advice for Technical Leaders with Alex Robson

Dear SQL DBA - Advice for Technical Leaders with Alex Robson

By Kendra Little on August 31, 2023 • 2 min read

Category: career

Ever wondered what it’s like to be a VP or Director of Engineering? I chatted with Alex Robson about leadership in technology, what you can get out of coaching or an MBA program (should you be interested), and what makes a high performing team.

Alex’s site and blog: https://robsonconsulting.services

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Msg 195: STRING_SPLIT Is Not a Recognized Built-In Function Name

Msg 195: STRING_SPLIT Is Not a Recognized Built-In Function Name

Yesterday, I was writing some Transact SQL to dust off the cobwebs. I got confused when I was playing around with the STRING_SPLIT function, and kept getting the error:

Msg 195, Level 15, State 10, Line 2
'STRING_SPLIT' is not a recognized built-in function name.

I checked my database compatibility level, which must be 130 or higher for the function to be available. My database compatibility level was 160, so that was fine.

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Dear SQL DBA - Performance Tuning with Erik Darling

Dear SQL DBA - Performance Tuning with Erik Darling

By Kendra Little on August 18, 2023 • 1 min read

SQL Server performance tuning expert Erik Darling joins the podcast today to chat about how good queries can go bad and how bad queries can get better.

He also answers the question on everyone’s mind: if he was a database, what database would he be?

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