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

Mundane

GAVEL

Constructing XML with T-SQL,T-SQL allows you to convert relational results sets into XML, by using the . clause in your . statement. There are four modes that can be used with the . clause; ., ., ., and .. This chapter will demonstrate how the . clause works in . mode, . mode, . mode, and . mode. As the chapter progresses, we will move from simple to more complex examples.

积云

有花

使高兴

Diluge

Insubordinate

https://doi.org/10.1007/978-1-4842-3901-8XML; JSON; CLR; Hierarchical data; Spatial data; HierarchyID; Data storage and optimization; Row compressio

慷慨援助

SQL Server Data Types,s chapter, I will review each of the basic data types available in SQL Server, looking at the differences between similar data types. I will also discuss the importance of using the correct data type for each use case.

火车车轮

Understanding XML, XML consists of tags. Unlike HTML, however, these tags are not predefined. Instead, they are defined by the document author. An XML document has a tree structure, beginning with a root node and containing child nodes (also known as child elements). Each element can contain data but also . attribute

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Querying and Shredding XML,r, I will discuss how to use XQuery to filter, extract, and modify XML. I will also discuss shredding XML, which is the process of converting XML data into relational results sets. Finally, an overview of how to bind an XSD schema to a column of data type XML is provided.