Updating db via xml

element SELECT x.query(' /Root/Product Description') FROM T -- update the Product Name attribute value UPDATE T SET x.modify(' replace value of (/Root/Product Description/@Product Name)[1] with "New Road Bike" ') -- verify the update SELECT x.query(' /Root/Product Description') FROM T This example replaces values in a manufacturing instructions document stored in a typed XML column.In the example, you first create a table (T) with a typed XML column in the Adventure Works database.Therefore, it is necessary to identify a particular employee by their employee id.

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You then copy a manufacturing instructions XML instance from the Instructions column in the Product Model table into table T. use Adventure Works go drop table T go create table T(Product Model ID int primary key, Instructions xml (Production.

Manu Instructions Schema Collection)) go insert T select Product Model ID, Instructions from Production.

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This can be an expression that returns a simply typed node, because data() will be used implicitly.

'; SELECT @my Doc; -- update text in the first manufacturing step SET @my Doc.modify(' replace value of (/Root/Location/step[1]/text())[1] with "new text describing the manu step" '); SELECT @my Doc; -- update attribute value SET @my Doc.modify(' replace value of (/Root/Location/@Labor Hours)[1] with "100.0" '); SELECT @my Doc; Note that the target being updated must be, at most, one node that is explicitly specified in the path expression by adding a "[1]" at the end of the expression.

You can specify the if expression in Expression2 of the replace value of XML DML statement, as shown in the following example.

In this paper, I attempt to outline a database schema and serialization that provides sufficient information for a the recipient of the data to store it in a relational database without losing synch with the presenter of the data.

The secret to managing data relationships is to establish what identifies a record.

Other data, for instance, and address, may be identified by a series of fields which, when taken together, are guaranteed to be unique in the universe where that database lives.

An employee record is likely to not have a unique on the emloyee first and last name as it is possible for a corporation to have more than one employee named "John Smith".

In the following example, a document instance is first assigned to a variable of xml type.

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