DBCC CHECKDB is a built-in SQL Server command that allows you to check database integrity and consistency in one simple command, but running it on large databases can be a nightmare. In this article, Ahmad Yaseen explains how you can enhance the command to run faster in SQL Server 2016.
2016-09-28
3,423 reads
In this tip, we will talk about PowerShell and SQL Server Log and Data Files.
2016-09-27
3,799 reads
Desired State Configuration (DSC) allows you to automate the way that you manage configuration data for software services as well as the environment in which these services run. DSC uses a set of built-in and custom 'resources' as the building blocks for a configuration. If you have specific requirements you may need to create the relevant resource to make the configuration happen. Nicolas Prigent provides a practical guide to DSC resources.
2016-09-27
3,764 reads
Erin Stellato goes into detail about some practical use cases for a new DBCC command in SQL Server 2014 SP2 : DBCC CLONEDATABASE.
2016-09-26
3,488 reads
It’s been said that one of the drawbacks to normalization to the third form (3NF) is more cumbersome data extraction due to the greater number of tables. These require careful linking via JOIN clauses. Improper table joining can easily result in erroneous results or even in the dreaded Cartesian Product. In today’s article, Rob Gravelle explores how table joins are achieved in MySQL.
2016-09-23
3,720 reads
Use Powershell to troubleshoot SQL connectivity issues. A way to monitor up-time and connectivity of a SQL server database with some simple Powershell commands.
2016-09-22
3,027 reads
Rob Farley explains why AT TIME ZONE is his new favourite feature in SQL Server 2016, but also shows that it can make a mess of cardinality estimates.
2016-09-22
4,108 reads
2016-09-21
125 reads
The SQL Server Error Log is quite large and it's not always easy to view the contents with the Log File Viewer. Greg Robidoux presents an easy way to search and find errors using T-SQL.
2016-09-20
5,284 reads
In-memory OLTP was introduced in SQL Server 2014, but greatly improved in SQL Server 2016. If you have a heavily-used transaction-processing that is processing a lot of data, it is definitely worth considering the new 'In-Memory' features of SQL Server 2016. Grant Fritchey explains why.
2016-09-19
5,042 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...
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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