Book Image

Introducing Microsoft SQL Server 2019

By : Kellyn Gorman, Allan Hirt, Dave Noderer, Mitchell Pearson, James Rowland-Jones, Dustin Ryan, Arun Sirpal, Buck Woody
Book Image

Introducing Microsoft SQL Server 2019

By: Kellyn Gorman, Allan Hirt, Dave Noderer, Mitchell Pearson, James Rowland-Jones, Dustin Ryan, Arun Sirpal, Buck Woody

Overview of this book

Microsoft SQL Server comes equipped with industry-leading features and the best online transaction processing capabilities. If you are looking to work with data processing and management, getting up to speed with Microsoft Server 2019 is key. Introducing SQL Server 2019 takes you through the latest features in SQL Server 2019 and their importance. You will learn to unlock faster querying speeds and understand how to leverage the new and improved security features to build robust data management solutions. Further chapters will assist you with integrating, managing, and analyzing all data, including relational, NoSQL, and unstructured big data using SQL Server 2019. Dedicated sections in the book will also demonstrate how you can use SQL Server 2019 to leverage data processing platforms, such as Apache Hadoop and Spark, and containerization technologies like Docker and Kubernetes to control your data and efficiently monitor it. By the end of this book, you'll be well versed with all the features of Microsoft SQL Server 2019 and understand how to use them confidently to build robust data management solutions.
Table of Contents (15 chapters)

In-memory OLTP

In-memory on-line transaction processing (OLTP) is available in Microsoft SQL Server for optimizing the performance of transaction processing. In-memory OLTP is also available for all premium Azure SQL databases. While dependent on your application, performance gains of 2-30x have been observed.

Most of the performance comes from removing lock and latch contention between concurrently executing transactions and is optimized for in-memory data. Although performed in-memory, changes are logged to disk so that once committed, the transaction is not lost even if the machine should fail.

To fully utilize in-memory OLTP, the following features are available:

  • Memory-optimized tables are declared when you create the table.
  • Non-durable tables, basically in-memory temporary tables for intermediate results, are not persisted so that they do not use any disk I/O. A non-durable table is declared with DURABILITY=SCHEMA_ONLY.
  • Table values and table-valued parameters can be declared as in-memory types as well.
  • Natively compiled stored procedures, triggers, and scalar user-defined functions are compiled when created and avoid having to compile them at execution time, thereby speeding up operations.

Additional information can be found at the following links: