Over the course of this stairway series, we're going to explore in detail the use of Extended Events as a diagnostic data collection tool, to track down causes of poor performance in SQL Server. This first level will start from a point known and familiar to many DBAs, namely the use of SQL Trace to track down and investigate long-running queries.
2021-12-22 (first published: 2015-12-23)
14,288 reads
In this Level, we'll walk through the basics of using the New Session dialog in the UI to create a new event session, define its events, actions and predicates, and establish a target for the session in which to collect the event data.
2021-11-24 (first published: 2016-01-13)
8,327 reads
In the next installment of our stairway to Extended Events, we delve into the Live Data and Target Data Viewers.
2021-02-26 (first published: 2016-05-25)
6,168 reads
It is widely acknowledged within the SQL Server community that baselines represent valuable information that DBAs should capture. Unfortunately, very few companies manage to log and report on this information, and DBAs are then forced to troubleshoot from the hip and scramble to find evidence to prove that the database is not the problem. This article will make a compelling argument for why DBAs must start capturing baseline information, and will create a roadmap for subsequent posts.
2020-06-30 (first published: 2012-11-19)
21,667 reads
If you have not been capturing baselines on your production servers, then today is the day you can start. This article provides scripts, valid for SQL Server 2005 and higher, which anyone can use to capture basic information about a SQL Server instance.
2020-06-30 (first published: 2012-11-27)
37,036 reads
By capturing baseline data, a well-prepared DBA should get a good idea of what potential issues they will face. In this article Erin Stellato looks at Wait Statistics and what they can tell you about your databases.
2020-06-30 (first published: 2013-02-04)
19,858 reads
In this level, we're going to dig a little deeper into the Extended Events engine, its architecture, and fundamental components. It will give you a deeper understanding of why, in general, an Extended Events session is inherently lower in overhead than an equivalent SQL Trace. We'll also investigate how to design our event sessions to minimize any unnecessary overhead during event data collection, even when we need to create relatively complex event sessions to investigate difficult performance problems.
2019-03-26 (first published: 2016-08-17)
4,681 reads
Today we have a guest editorial from Erin Stellato that reminds us that we have had support from many, and it's important to thank them from time to time.
2015-12-04
132 reads
In this article, we'll tackle the topic of monitoring disk space usage. By tracking how much is in use and how much is still available, over time we'll have the data we need for better capacity planning, and can ensure that a database won't ever run out of disk space.
2013-01-23
10,252 reads
You can find the slides of my session on the €100 DWH in Azure...
By Steve Jones
This value is something that I still hear today: our best work is done...
By gbargsley
Have you ever received the dreaded error from SQL Server that the TempDB log...
Hi everyone I am writing an SP where there is logic inside the SP...
Comments posted to this topic are about the item Planning for tomorrow, today -...
We have a BI-application that connects to input tables on a SQL Server 2022...
I try to run this code on SQL Server 2022. All the objects exist in the database.
CREATE OR ALTER VIEW OrderShipping
AS
SELECT cl.CityNameID,
cl.CityName,
o.OrderID,
o.Customer,
o.OrderDate,
o.CustomerID,
o.cityId
FROM dbo.CityList AS cl
INNER JOIN dbo.[Order] AS o ON o.cityId = cl.CityNameID
GO
CREATE OR ALTER FUNCTION GetShipCityForOrder
(
@OrderID INT
)
RETURNS VARCHAR(50)
WITH SCHEMABINDING
AS
BEGIN
DECLARE @city VARCHAR(50);
SELECT @city = os.CityName
FROM dbo.OrderShipping AS os
WHERE os.OrderID = @OrderID;
RETURN @city;
END;
go
What is the result? See possible answers