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Mastering SQL Server 2017

You're reading from  Mastering SQL Server 2017

Product type Book
Published in Aug 2019
Publisher Packt
ISBN-13 9781838983208
Pages pages
Edition 1st Edition
Languages
Concepts
Authors (5):
Miloš Radivojević Miloš Radivojević
Profile icon Miloš Radivojević
Dejan Sarka Dejan Sarka
Profile icon Dejan Sarka
William Durkin William Durkin
Profile icon William Durkin
Christian Cote Christian Cote
Profile icon Christian Cote
Matija Lah Matija Lah
Profile icon Matija Lah
View More author details
Toc

Table of Contents (20) Chapters close

Title Page
Copyright Contributors About Packt Preface 1. Introduction to SQL Server 2017 2. SQL Server Tools 3. JSON Support in SQL Server 4. Stretch Database 5. Temporal Tables 6. Columnstore Indexes 7. SSIS Setup 8. What Is New in SSIS 2016 9. Key Components of a Modern ETL Solution 10. Dealing with Data Quality 11. Unleash the Power of SSIS Script Task and Component 12. On-Premises and Azure Big Data Integration 13. Extending SSIS Custom Tasks and Transformations 14. Scale Out with SSIS 2017 1. Other Books You May Enjoy

Performance considerations

One of the main concerns about JSON in SQL Server 2016 is performance. As mentioned, unlike XML, JSON is not fully supported; there is no JSON data type. Data in XML columns is stored as binary large objects (BLOBs). SQL Server supports two types of XML indexes that avoid parsing all the data at runtime to evaluate a query and allow efficient query processing. Without an index, these BLOBs are shredded at runtime to evaluate a query. As mentioned several times, there is no JSON data type; JSON is stored as simple Unicode text and the text has to be interpreted at runtime to evaluate a JSON query. This can lead to slow reading and writing performance for large JSON documents. The primary XML index indexes all tags, values, and paths within the XML instances in an XML column. The primary XML index is a shredded and persisted representation of the XML...

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