The “old” method involves calling system stored-procedures,
sp_droprolemember, in which you pass the role-name and username. The “new” method, supported starting with SQL 2012, is to use the command-phrases
ALTER ROLE [role] ADD MEMBER [user], and
ALTER ROLE [role] DROP MEMBER [user].
Nate shows both methods, so check it out.
Basically, if you are running code similar to above, the reason your job is slow is because you are not optimizing where your work is being performed:
Every time you write
SELECT *you probably are bringing back more data than you actually need — you are hurting your performance.
Every time you don’t have a
WHEREclause, you are hurting your performance.
Every time your process queries the database multiple times (ie. multiple
SELECTstatements in your job to bring back data), you are hurting your performance.
It’s nothing new for data professionals, but for application developers who avoid the database as much as possible due to a lack of knowledge, this might be a good wake-up call.
Table variables and local temporary tables are both capable of being cached. To qualify for caching, a local temporary table or table variable must be created in a module:
- Stored procedure (including a temporary stored procedure)
- Multi-statement table-valued function
- Scalar user-defined function
The return value of a multi-statement table-valued function is a table variable, which may itself be cached. Table-valued parameters (which are also table variables) can be cached when the parameter is sent from a client application, for example in .NET code using
SqlDbType.Structured. When the statement is parameterized, table-valued parameter structures can only be cached on SQL Server 2012 or later.
The first time I heard about this was a SQL Saturday presentation that Eddie Wuerch did. Paul does a great job talking about the requirements (and noting that table variables are eligible as well), making this well worth the time to read.
It’s still early days for machine learning. The bounds and guidelines about what is possible or likely are still unknown in a lot of places, and bigger projects that test more of those limitations are more likely to fail. As a fledgling data engineer, especially in the industry, it’s almost certainly the more prudent course to go for the “low-hanging fruit” — easy-to-find optimizations that have real world impact for your organization. This is the way to build trust among skeptical colleagues and also the way to figure out where those boundaries are, both for the field and for yourself.
As a personal example, I was once on a project where we worked with failure data from large machines with many components. The obvious and difficult problem was to use regression analysis to predict the time to failure for a given part. I had some success with this, but nothing that ever made it to production. However, a simple clustering analysis that grouped machines by the frequency of replacement for all parts had some lasting impact; this enabled the organization to “red flag” machines that fell into “high replacement” group where the users may have been misusing the machines and bring these users in for training.
There’s some good advice. Also read the linked Dijkstra note; even in bullet point form, he was a brilliant guy.
Customers coordinates: a flat file containing x,y coordinates for every customer.
Municipalities in Austria: a shape file with multi-polygons defining the municipalities areas in Austria: source
The goal was to “look-up” the coordinates in the shape file in order to get the municipality code GKZ which in german stand for “Gemeindekennzahl”.
Check out the demo.
What is the McShield service? A quick Bing search revealed that it’s one of the services for McAfee VirusScan Enterprise. Could this be the cause? To get a quick look at all the history, I filtered the application log for event IDs: 17890 and 5000. Each time McAfee got an updated virus DAT file, SQL Server soon followed that by paging out the entire buffer pool. I checked the application log on several other SQL Servers for the same event IDs, and sure enough the same events occurred in tandem each morning. I also got confirmation from the security administration team that McAfee is scheduled to check for new DAT files each morning around 8AM. Eureka!
This seems like it could be the cause of our paging, but a little more research is needed. Searching the McAfee knowledge base, lead me to this article about the “Processes on enable” option.
Enabling this option causes memory pages of running processes to get paged to disk. And the example given is “Oracle, SQL, or other critical applications that need to be memory-resident continually, will have their process address space paged to disk when scan Processes On Enable kicks in”. OUCH! So when the McAfee service starts up or it gets a new DAT file, it will page out all processes.
Fortunately, this is a setting you can turn off, and Patrick shows how.
I’m running all of this on my Windows 10 machine but there are a few things you’ll need before we get started: –
The microsoft/windowsservercore image downloaded from the Docker Hub
Windows Server 2016 installation media extracted toC:\Docker\Builds\Windows
SQL Server 2014 SP2 Developer Edition installation media extracted to C:\Docker\Builds\SQLServer2014
Or if you prefer, you can just pull his image, but where’s the fun in that?
Then we need to add github repository to our project. I use the git command line for this:
git remote add origin [email protected]:stephlocke/datasauRus.git git push --set-upstream origin master
With just these things, I have a package that contains the unit test framework, documentation stubs, continuous integration and test coverage, and source control.
That is all you need to do to get things going!
This is great timing for me, as I’m starting to look at packaging internal code. Also, it’s great timing because it includes dinosaurs.
URN(hidden from view) are not needed. That is not a problem, I’ll just pipe them to
Select-Objectand include them in the
It’s not quite as straightforward as you’d imagine, but Shane shows you how to do it.