Partition Level Locking: Explanations From Outer Space
Erik Darling partitions the Stack Overflow database, then uses sp_WhoIsActive's @get_locks = 1 parameter to demo locking.
2017-12-13
3,150 reads
Erik Darling partitions the Stack Overflow database, then uses sp_WhoIsActive's @get_locks = 1 parameter to demo locking.
2017-12-13
3,150 reads
Policy-Based Management, a feature of SQL Server, is a flexible tool that can help DBAs manage one or more SQL Server instances. It's used for monitoring and enforcing a standard set of policies for SQL Server throughout an organization. While there are many built-in conditions from which to choose, Dennes demonstrates how to set up a custom policy as well as a standard one. Viewing the policy status over many servers can be tedious, so he also explains how DBAs can evaluate the states of multiple servers with just one glance.
2017-12-12
2,640 reads
One of the most commonly requested Azure SQL Database features has been support for more granular control of server-level firewall settings. A recently announced public preview of Azure SQL Database and Data Warehouse VNET service endpoints and rules promises to address this limitation.
2017-12-11
2,346 reads
Have you ever wanted to know how many pages in your database have changed since the last full backup? If so, then you will be glad to hear that the SQL Server 2017 version of the DMV, sys.dm_db_file_spavce_usage, has a new column named modified_extent_page_count, which shows the number of pages that have changed since the last full backup.
2017-12-08
3,696 reads
This article will show how to store images, document and all other files in SQL Table.
2017-12-07
20,283 reads
In this book, Kalen Delaney explains how the 2016 In-Memory OLTP engine works, how it stores and manipulates data, and how, even with all data stored in memory and no locking or latching, it can still guarantee the ACID properties of all transactions.
2017-12-07
1,951 reads
Although it is easy to use SQL Server R Services to create R scripts that incorporate SQL Server data by passing in a T-SQL query as an argument when calling the sp_execute_external_script stored procedure, you are limited to that one query, unless you pass additional data directly between R and SQL Server via CSV files. It is simple to do, and opens up many additional opportunities for data analysis. Robert Sheldon explains how.
2017-12-07
3,542 reads
Power BI provides correlation plot visualization in the Power BI Visuals Gallery to create Correlation Plots for correlation analysis. In this post, Siddharth Mehta shows how to create a correlation plot in Power BI Desktop using a sample dataset of car performance.
2017-12-06
2,780 reads
Brent Ozar explains why DBAs should read this book about the future of database administration at scale.
2017-12-05
3,193 reads
To support many applications, it makes sense for the database to work with JSON data, because it is the built-in way for a JavaScript or TypeScript application to represent object data. It can mean less network traffic, looser coupling, and less need for the application developer to require full access to the base tables of the database. However, it means that the database must do plenty of checks first before importing. Phil Factor explains how it can be easily done.
2017-12-04
4,513 reads
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...
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...
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