Titlebook: SQL Server Advanced Data Types; JSON, XML, and Beyon Peter A. Carter Book 2018 Peter A. Carter 2018 XML.JSON.CLR.Hierarchical data.Spatial

Wallow

XML Indexes,ther large object types, it can store up to a maximum of 2GB per tuple. Although standard operators such as . and . can be used against XML columns, you also have the option of using . expressions (discussed in this chapter). They can be rather inefficient, however, unless you create XML indexes.

Defense

钝剑

Pillory

stroke

Understanding Spatial Data,-tier applications, the ability to construct or interrogate spatial data may be critical. In this chapter, I will give an overview of spatial data and its implementation in SQL Server, before looking at the spatial standards that are used in the SQL Server implementation.

Bravado

Working with Spatial Data, examine how to work with these data types. First, I will discuss the methods that can be used to construct surfaces, before reviewing how to query spatial data. Finally, you will see how to design and create spatial indexes.

grounded

bile648

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landmark

Understanding JSON,milar to XML, in the respect that it is a self-describing, hierarchical data-interchange format. Unlike XML, however, JSON tags are minimal, making JSON documents shorter and both easier to read and quicker to parse.