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Introducing Microsoft SQL Server 2019

You're reading from   Introducing Microsoft SQL Server 2019 Reliability, scalability, and security both on premises and in the cloud

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

Table of Contents (15) Chapters Close

Preface 1. Optimizing for performance, scalability and real‑time insights 2. Enterprise Security FREE CHAPTER 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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