Have you ever wanted an easier way to provide security at the record level? If so, you can now easily do this with the Row Level Security feature that is being introduced with SQL Server 2016. Greg Larsen shows you how easy it is to use this new feature as a way to provide user access to a specific set of records.
Have you created a Data Factory in Azure and are wondering how to get it into TFS and source control? This article will show you how.
Every SQL Server Database programmer needs to be familiar with the System Functions. These range from the sublime (such as @@rowcount or @@identity) to the ridiculous (IsNumeric()) Robert Sheldon provides an overview of the most commonly used of them.
Have you ever wanted to run a query across every database on a server with the convenience of a stored procedure? If so, Microsoft provided a stored procedure to do so. It’s unreliable, outdated, and somewhat obfuscated, though. Let’s improve on it!
Sometimes, in the quest for raw SQL performance, you are forced to sacrifice legibility and maintainability of your code, unless you then document your code lavishly. Phil Factor's SQL Speed Phreak challenge produced some memorable code, but can SQL features introduced since then help to produce code that performs as well and is also easy to understand? Kathi Kellenberger investigates.
This new chapter will show you how to work with the SSIS Data Mining Query Transformation Task
Code coverage is a practice that goes hand in hand with automated testing, reporting the percentage of your code that has been exercised during a test run. Ed Elliott and Redgate have partnered to make a code coverage tool available for SQL Server, both free and open source. SQL Cover measures the coverage of your SQL Server stored procedures and functions. It has built-in support for the popular tSQLt unit testing framework, but can also be used alongside any automated testing framework of your choosing. Find out more in this blog post.
If you've ever loaded a 2 GB CSV into pandas just to run a...
By James Serra
What problem is Fabric Ontology trying to solve? For years, most data conversations have...
By Steve Jones
Recently I ran across some code that used a lot of QUOTENAME() calls. A...
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Comments posted to this topic are about the item The string_agg function
We create the following table and then insert some records in it:
create table t1 ( id int primary key, category char(1) not null, product varchar(50) ); insert into t1 values (1, 'A', 'Product 1'), (2, 'A', 'Product 2'), (3, 'A', 'Product 3'), (4, 'B', 'Product 4'), (5, 'B', 'Product 5');What happens if we execute the following query in both Sql Server and PostgreSQL?
select id,
category,
string_agg(product, ';')
over (partition by category order by id
rows between unbounded preceding and unbounded following) as stragg
from t1; See possible answers