How do you go about transferring a disk-based workload to the respective memory-optimized design? How do you process memory-optimized tables? How important for performance are natively-compiled Stored Procedures? Artemakis Artemiou comes up with a step-by-step guide to implementing an in-memory OLTP solution .
2016-05-16
3,732 reads
There are some obvious advantages to having the Query Store, but what is the performance impact that it is likely to have on a busy OLTP database server? It is early days, of course and until we get more experience we have to rely on Microsoft's estimate of a performance impact of 3-5% on average. However, this will depend on a number of factors such as usage an the way it is configured. Enrico explores some of these factors in order to give a clearer picture of what you should expect.
2016-05-13
3,339 reads
In this piece, Steve Jones shows how you can enforce a requirement of a Primary Key (PK) with a unit test, but also allow exceptions where needed.
2016-05-12
1,358 reads
Aaron Bertrand explores yet another scenario where a date/time function seems to cause the optimizer to behave unexpectedly.
2016-05-12
4,956 reads
2016-05-11
4,469 reads
This article will introduce about big data and HDInsight and Hadoop.
2016-05-10
1,336 reads
SQL Server Server Audit has grown in functionality over the years but it can be tricky to maintain and use because it lacks centralization and analysis tools. It can do a fast and lightweight audit of many different activities including DML and DDL at both Instance and Database Levels - even the work of the DBAs. How do you check logins and permissions? How do you script an enterprise-wide audit solution? How can you hope to analyse the log data you get? Feodor Georgiev gets you started.
2016-05-10
3,537 reads
The Books Online description of the RAND() function is only true from certain perspectives.
2016-05-09
2,736 reads
2016-05-09 (first published: 2016-04-26)
7,938 reads
The next few years will be critical for the information technology staff, as they attempt to integrate and manage multiple, diverse hardware and software platforms. In this article, Lockwood Lyon addresses how to meet this need, as users demand greater ability to analyze ever-growing mountains of data, and IT attempts to keep costs down.
2016-05-09
5,553 reads
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
I’ve uploaded the slides for my Techorama session Microsoft Fabric for Dummies and my...
If you've ever loaded a 2 GB CSV into pandas just to run a...
Comments posted to this topic are about the item Even When You Know What...
Comments posted to this topic are about the item The New Software Team
Comments posted to this topic are about the item Database Mail in SQL Server...
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