![]() Values if the table are omitted and not accounted for. SELECT * FROM customer FOR XML AUTO, ELEMENTS, This would break each cell in the relational table to an individual node. To get the data we use the ELEMENTS display keyword. ToĪchieve this in our example we rewrite our query as: SELECT * FROM customer FOR XML AUTO, ROOT( 'customers') Output Īs we have seen above, the columns are simply attributes and not actually the node data. Subsequent instances of data should be under that one root node. Is out of the scope of this article, however I will cover the most usedĪs we all know well formed XML documents must have a root node and There are many display keywords available and to cover all of them Note: NULL values are omitted in both cases. Below is an example of the XML Raw and For XML Auto query: SELECT * FROM customer FOR XML RAW On the other hand the AUTO mode outputs each element as the table name and the column values as attributes of these elements. Taken as the attribute of that row element. Mode takes each element as a row element and all the column values are These are two major used output modes which can further be customized by the display keywords to achieve most structures of XML derived from a particular table. The basic syntax of the query is: SELECT * FROM customer FOR XML, RAW and AUTO output modes The For XML clause does most of the work for us and it can be used in various ways. ![]() SELECT * FROM customer FOR XML AUTO, ELEMENTS XSINIL, ROOT( 'customers') The FOR XML Clause SELECT * FROM customer FOR XML AUTO, ROOT( 'customers') Let us consider the famous customer table which looks usually looks as illustrated below:īelow are common used XML queries that we are going to discuss in this article: SELECT * FROM customer FOR XML RAW Though theseįeatures existed in the previous version of SQL Server they are highly enhanced in SQL Server 2005. Prepare dynamic XML used for XML based applications. ![]() In this article, we will see how to use normal relational data and In this article we will see some of the common used SQL MS SQL gives us the advantage of generating dynamic XML in our data ForĪny application to interact with another either an complex marshallingĬode would be required or a simple implementation of XML would suffice. XML is great for information exchangeīecause of its simple flat file structure and user defined tags. ![]()
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