Filegroup Restoring and Join Elimination
This article is just a short follow up of previous article on filegroup restoring that describes one issue with join elimination optimization.
2017-08-10
1,011 reads
Articles
SQL Server R Services: The Basics
It is possible to do a great deal with R within SQL Server, but it is best to start by doing analysis in R on numeric data from SQL Server and returning the results to SQL Server. There is great value to be gained even with this basic foundation. Robert Sheldon is on hand to give you a kick start with the first in his series on beginning with R in SQL Server.
2017-08-10
7,279 reads
Microsoft IT: A Case Study on “Hekaton” against RPM – SQL Server 2014 CTP1
This paper shares the approach used to understand and determine: 1) Using ‘Hekaton’ in SQL Server 2014 against RPM, including performance analysis. 2)
Understand the specifics involved while migrating to Hekaton.
2017-08-09
3,784 reads
Sliding Scale Parallelism: Why Stop At DOP?
Erik Darling wonders why SQL Server doesn't have more granular parallelism options.
2017-08-09
3,671 reads
Fixing Plan Issues in the Middle of the Night
Do you hate when someone wakes you up in the middle of the night and tells you that some query is slower and you need to investigate it? With SQL Server 2017 you might easily do this, or even let SQL Server do this job for you.
2017-08-08
2,013 reads
How to Automatically Create and Refresh Development and Test Databases
In order to be able to deliver database changes more quickly, there are several tasks that must be automated. It can be a daunting job to ensure that the whole team has the latest database build when there is a proliferation of copies, and the database is big. Phil illustrates a solution by taking a set of Redgate tools to show how they can be used together, via PowerShell, to build a database from object-level source, stock it with data, document it, and then provision any number of test and development servers with the database build, taking care to save any DDL changes to the existing copies of the database.
2017-08-08
5,020 reads
Using Super Keys to Enforce Database Constraints
Example of Using Super Keys to Enforce Database Constraints, instead of procedural code
2017-08-07
2,411 reads
SQL Server Management Studio Recovery, Reporting, Key Combinations and Efficiency Tips
Serget Gigoyan is back with another set of 5 common SSMS tips.
2017-08-07
4,928 reads
Dynamic Pivot, Passing Temp Table Variables to Dynamic SQL
This example demonstrates how to perform a pivot using dynamic headers based on the row values of a table. The article also shows how to pass a temp table variable to a Dynamic SQL call.
2017-08-04 (first published: 2015-10-22)
13,223 reads
Developing Metadata Design Patterns in BIML
You may have already experienced ETL Hell, where you have a large number of similar of SSIS tasks, and a small change, such as an alteration to the network topology, means that they all need to be altered with the correct connection details. Perhaps you should consider creating design patterns for all the standard components of integration tasks in BIML, and generating the SSIS packages from these? Amarendra walks you through the process.
2017-08-04
6,028 reads
Blogs
Rolling Back a Broken Release
By Steve Jones
We had an interesting discussion about deployments in databases and how you go forward...
A bespoke reporting solution doesn’t have to cost the earth
By ChrisJenkins
You could be tolerating limited reporting because there isn’t an off the shelf solution...
Presenting with Visual Studio Code
A while back I wrote a quick post on setting up key mappings in...
Forums
Remotely Engineer Fabric Lakehouse objects: The Fabric Modern Data Platform
Comments posted to this topic are about the item Remotely Engineer Fabric Lakehouse objects:...
Creating JSON III
Comments posted to this topic are about the item Creating JSON III
Testing is Becoming More Important
Comments posted to this topic are about the item Testing is Becoming More Important
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 8KirinI run this code:
SELECT JSON_OBJECTAGG(
BeerID: BeerName )
FROM beer;
What are the results? See possible answers