SQL SERVER – SSMS: Resource Locking and Object Execution Statistics Report

As a DBA or SQL Developer, the amount of time we work with SQL Server Management can never be measured. As a database person, these hidden gems of SQL Server can never be underestimated. With each release the tool improves to give the next set of features. I have seen in multiple blogs where the Product Managers constantly ask for feedbacks and are looking at making enhancements to the tool. If you go to the connect site, the votes for a feature requests decides if they will ever make it into the next release of SSMS. If you get the drift, knowing the statistics on a given request decides how the feature will get added. These statistics and questions gives product team the confidence to people’s request. Similarly, when working with SQL Server objects, it will be useful if we can know how many times a procedure were called and how many CPU, IO cycles were spent. Let’s see Resource Locking and Object Execution Statistics Report.

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SQL Authority News – Download and Install AdventureWorks 2014 Sample Databases

If you are using SQL Server there are good chances that you are familiar with AdventureWorks. AdventureWorks is a Sample Database shipped with SQL Server and it can be downloaded from GitHub site. AdventureWorks have replaced Northwind and Pubs from the sample database in SQL Server 2005. The Microsoft team keeps updating the sample database as they release new versions. I use the AdventureWorks database for most of my example, as it is easy to use sample database which is accessible for most of the people out there. Let us learn to install AdventureWorks.

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SQL SERVER – Introduction to SQL Server 2014 In-Memory OLTP

In SQL Server 2014 Microsoft has introduced a new database engine component called In-Memory OLTP aka project “Hekaton” which is fully integrated into the SQL Server Database Engine. It is optimized for OLTP workloads accessing memory resident data. In-memory OLTP helps us create memory optimized tables which in turn offer significant performance improvement for our typical OLTP workload.

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