Monitor User Connections in SQL Server
This article explores the causes and remedies for applications failing due to too many open connections to SQL Server.
2010-12-14
3,775 reads
This article explores the causes and remedies for applications failing due to too many open connections to SQL Server.
2010-12-14
3,775 reads
This challenge involves evaluating mathematical expressions presented using Roman Numerals and return the result of each expression.
2010-12-13
1,683 reads
Of the big four DML statements in SQL Server, the DELETE is the one least written about. This is odd considering the extra power conferred on the statement by the addition of the WITH common_table_expression; and the OUTPUT clause that essentially allows you to move data from one table to another in one statement.
2010-12-13
6,506 reads
For years we’ve been told you should use Enterprise Manager in SQL Server 2000 or SQL Server Configuration Manager in...
2010-12-13
3,196 reads
One very common structure that needs to be handled in T-SQL is the hierarchy. One of our prominent members of the community discusses how you can handle hierarchies in SQL Server.
2010-12-10 (first published: 2009-01-28)
33,865 reads
Three contests from Red Gate Software are coming next week. Get a hint about what might be coming and set a reminder on your calendar.
2010-12-10 (first published: 2010-12-08)
1,541 reads
Cross-posted from a Goal Keeping DBA blog:
Just recently, my oldest son entered the ranks of the teenagers. I shouldn’t actually...
2010-12-10
2,038 reads
I’ve been pretty quite since the PASS Summit and with good reason. Every year we have a chapter leader meeting....
2010-12-10
618 reads
Data warehousing and general reporting applications tend to be CPU intensive because they need to read and process a large number of rows. To facilitate quick data processing for queries that touch a large amount of data, Microsoft SQL Server exploits the power of multiple logical processors to provide parallel query processing operations such as parallel scans. Through extensive testing, we have learned that, for most large queries that are executed in a parallel fashion, SQL Server can deliver linear or nearly linear response time speedup as the number of logical processors increases. However, some queries in high parallelism scenarios perform suboptimally. There are also some parallelism issues that can occur in a multi-user parallel query workload. This white paper describes parallel performance problems you might encounter when you run such queries and workloads, and it explains why these issues occur. In addition, it presents how data warehouse developers can detect these issues, and how they can work around them or mitigate them.
2010-12-10
4,645 reads
A look at what's happening with the SQLServerCentral servers based on the public information exposed by SQL Monitor.
2010-12-09
1,730 reads
It's time for T-SQL Tuesday #198! This month's topic is change detection. The post T-SQL...
By James Serra
Model Context Protocol, or MCP, is one of those technical ideas that sounds more...
When starting with AWS RDS Aurora for managing relational databases in the cloud, many...
Hi to all We have situation at a client where someone is illegally changing...
Hi to all We have situation at a client where someone is illegally changing...
This week my BI Developer colleague proudly showed me a new Power BI report...
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers