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< xml version="1.0" > <update_info> <param>200000.00</param> <param>108</param> <param>23</param> </update_info>
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With this style, the XML text and the SQL text are actually quite separate. The SQL text is self-contained, and can be processed at compile-time. The XML text is self-contained, and the DBMS can match its parameter values to the needed statement parameters at runtime. This example follows the usual SQL style of specifying parameters by position, but the XML document loses a lot of its self-describing qualities as a result. Depending on the DBMS, it may be possible to use named elements within the XML document and match them to named statement parameters at runtime.
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A DBMS can support XML data exchange in a simple form merely by supporting XML output for query results and XML input for INSERT operations. However, this requires the user or programmer to carefully construct the format of the generated query results in the source database to match the expected format for the INSERT operations in the destination database. XML data exchange is more useful if the DBMS provides more explicit built-in support. Several commercial DBMS products now offer the ability to perform a bulk export of a table (or in a more sophisticated operation, the results of a query) into an external file, formatted as an XML document. At the destination end, these products offer the same ability to do a bulk import from this same type of file into a DBMS table. With this scheme, the XML document file becomes a standard way of representing table contents for the exchange. Note that once XML-based table import/export capabilities are offered, their use is not restricted to database-to-database exchanges. The source of the XML document in the data exchange file could well be an enterprise application, such as a Supply Chain Management (SCM) system. The destination similarly could be an enterprise application. In addition, many EAI systems now support XML document files. These systems provide further processing and integration capabilities, such as eliminating duplicated data and combining data from multiple input files.
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XML input, output, and data exchange capabilities offer a very effective way to integrate existing relational databases with the emerging world of XML. With these approaches, XML is used in the external world to represent structured data, but the data within the database itself retains its row/column, tabular, binary structure. As XML documents proliferate, a natural next step is to consider storing XML documents themselves within a database.
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Any SQL-based DBMS that supports large objects automatically contains basic support for XML document storage and retrieval. The section titled Large Object Support in 24 described how several commercial databases store and retrieve large text documents through character large object (CLOB) or binary large object (BLOB) data types. Many commercial products support documents of up to 4 gigabytes for CLOB or BLOB data, which is adequate for the vast majority of XML documents. To store XML documents using BLOBs or CLOBs, you would typically define a table that contains one BLOB or CLOB column to contain the document text, and some auxiliary columns (using standard data types) that contain attributes that identify the document. For example, if a table is to store purchase order documents, you might define auxiliary columns to hold the customer number, order date, and purchase order number using INTEGER, VARCHAR, or DATE data, in addition to the CLOB column for the XML document. You can search the table of purchase orders based on customer numbers, order dates, or P.O. numbers, and use the CLOB processing techniques described in 24 to retrieve or store the XML document. An advantage of this approach is that it is relatively simple to implement. It also maintains a clean separation between the SQL operations (such as query processing) and the XML operations. A disadvantage is that the level of XML/DBMS integration is fairly weak. In the simplest implementations, a stored XML document is completely opaque to the DBMS; the DBMS knows nothing about its contents. You cannot search for a document based on one of its attributes or its element values, unless that particular attribute or element has been extracted from the XML document and is also represented as a separate column in the table. If you can anticipate in advance which types of searches are likely, this is not a large restriction. Some object-relational databases provide a more advanced search capability for CLOBs by extending the SQL WHERE clause with full-text search capability. These products allow you to search CLOB columns as text, using the type of text search capabilities typically found in word processors. This provides an expanded, but typically still limited, capability for searching XML documents stored as CLOB columns. Using full-text search, you could, for example, locate every purchase order where the phrase Type 4 Widgets occurred. However, it will be difficult or impossible to search for only those XML documents where Type 4 Widgets applies in an order item description element. Because the search software doesn t explicitly know about the structure of XML documents, it will probably also return rows where Type 4 Widgets occurred in a comments element or some other element.
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