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Introducing Microsoft SQL Server 2019

You're reading from  Introducing Microsoft SQL Server 2019

Product type Book
Published in Apr 2020
Publisher Packt
ISBN-13 9781838826215
Pages 488 pages
Edition 1st Edition
Languages
Authors (8):
Kellyn Gorman Kellyn Gorman
Profile icon Kellyn Gorman
Allan Hirt Allan Hirt
Profile icon Allan Hirt
Dave Noderer Dave Noderer
Profile icon Dave Noderer
Mitchell Pearson Mitchell Pearson
Profile icon Mitchell Pearson
James Rowland-Jones James Rowland-Jones
Profile icon James Rowland-Jones
Dustin Ryan Dustin Ryan
Profile icon Dustin Ryan
Arun Sirpal Arun Sirpal
Profile icon Arun Sirpal
Buck Woody Buck Woody
Profile icon Buck Woody
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Toc

Table of Contents (15) Chapters close

Preface 1. Optimizing for performance, scalability and real‑time insights 2. Enterprise Security 3. High Availability and Disaster Recovery 4. Hybrid Features – SQL Server and Microsoft Azure 5. SQL Server 2019 on Linux 6. SQL Server 2019 in Containers and Kubernetes 7. Data Virtualization 8. Machine Learning Services Extensibility Framework 9. SQL Server 2019 Big Data Clusters 10. Enhancing the Developer Experience 11. Data Warehousing 12. Analysis Services 13. Power BI Report Server 14. Modernization to the Azure Cloud

Java language extensions

SQL Server 2016 introduced an extensibility framework for running external scripts such as R and Python.

This extensibility framework is exposed using the sp_execute_external_script system stored procedure. SQL Server 2019 supports Java on both Windows and Linux.

The windows installation will is covered in this book and here: https://docs.microsoft.com/en-us/sql/language-extensions/install/install-sql-server-language-extensions-on-windows?view=sqlallproducts-allversions#java-jre-jdk

Linux installation instructions can be found at https://docs.microsoft.com/en-us/sql/linux/sql-server-linux-setup-language-extensions?view=sqlallproducts-allversions

Why language extensions?

Language extensions allow you to extend SQL Server to use external code as part of SQL operations. Writing complex procedures in high-level languages such as Java, Python, and R can be much easier and more straightforward to test.

Starting with SQL Server 2005, there was...

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