In this post I want to show a couple of ways to order the data that comes into the pipeline. a number of people have asked me about this primarily because there are a number of ways to do it but also because some components in the pipeline take sorted inputs. One of the methods I show is visually easy to understand and the other is less visual but potentially more performant.
In the beginning of a new series, Elliott Whitlow shows us how to process your data movement in parallel, covering six different methods for doing so.
Today we have a guest editorial from Andy Warren that looks at the value of experience.
In this tip, I am going to show you how you can create a Data Access Layer (to store, retrieve and manage data in relational database) in ADO .NET. I will show how you can make it data provider independent, so that you don't have to re-write your data access layer if the data storage source changes and also you can reuse it in other applications that you develop.
The need to archive data is becoming more and more important as data sizes grow. However when you choose to archive data, you might need to reconsider how your DR plan is structured.
Arshad Ali discusses the Initiator, Target, Message Types, Contract and Queue--all components of SQL Server Service Broker (SSBS).
A recent headline that Google is dumping Windows because of security issues sounds like FUD to Steve Jones.
Paging through results of data, or finding specific sets of data is something that most of us need to do. A new article from Lawrence Moore shows us how we can do this with ROW_NUMBER()
There are numerous databases housing the same information and it's getting quite difficult to keep everything in line. I've heard from a number of departments who want a more centralized approach to handling customer data, but I don't know where to begin. Can you steer me in the right direction?
Microsoft have been cooking up something for Database Developers in Visual Studio 2010, and Phil Factor has decided it's high time he looked into it. It's not as odd as it sounds, and is actually rather promising, as Phil discovers.
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