August 2019
Beginner to intermediate
696 pages
15h 45m
English
book
Mastering SQL Server 2017
by Milos Radivojevic, Dejan Sarka, William Durkin, Christian Cote, Matija Lah
Content preview from Mastering SQL Server 2017
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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, ...
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