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)

Clustered Columnstore Indexes

SQL Server 2019 features in-memory columnstore indexes. Columnstore indexes store and manage data by using columnar data storage and columnar query processing. Data warehouse workloads that primarily perform bulk loads and read-only queries will very likely benefit from columnstore indexes. Use the columnstore index to achieve up to 10x query performance gains over traditional row-oriented storage and up to 7x data compresson over the uncompressed data size.

SQL Server supports both clustered and nonclustered columnstore indexes. Both use the same in-memory columnstore technology, but they do have differences in purpose and in features they support.

For example, a clustered columnstore index is the physical storage for the table and is the only index for the table. The clustered index is updatable so you can perform insert, delete, and update operations on the index.

Conversely, a nonclustered columnstore index is a read-only index created on...