The Value Of Live Query Stats In SSMS

Rob Farley exlaims his appreciation of Live Query Stats in SQL Server Management Studio:

wrote about Live Query Statistics within SSMS a while back – and even presented at conferences about how useful it is for understanding how queries run…

…but what I love is that at customers where I have long-running queries to deal with, I can keep an eye on the queries as they execute. I can see how the Actuals are forming, and quickly notice whether the iterations in a Nested Loop are going to be unreasonable, or whether I’m happy enough with things. I don’t always want to spend time tuning a once-off query, but if I run it with LQS turned on, I can easily notice if it’s going to be ages before I see any rows back, see any blocking operators that are going to frustrate me, and so on.

I don’t use it often, but when I do, I typically learn something interesting about the query I’m running.

Related Posts

Calculated Columns and Memory Usage in Analysis Services

Teo Lachev troubleshoots a customer issue: Scenario: A client reports a memory spike during processing. They have a Tabular semantic model deployed to Azure Analysis Services. They fully process the model daily. The model normally takes less than 50 GB RAM but during processing, it spikes five times and Azure Analysis Services terminates the processing task […]

Read More

In the Papers: Plan Stitch

Brent Ozar reviews a Microsoft Research paper: In the Microsoft Research paper Plan Stitch: Harnessing the Best of Many Plans by Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, and Vivek Narasayya (2018), the authors propose something really cool: watching an execution plan change over time, splitting it into parts, and then combining parts to form […]

Read More

Categories

April 2018
MTWTFSS
« Mar May »
 1
2345678
9101112131415
16171819202122
23242526272829
30