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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 on large object support in 24 describes how several commercial databases store and retrieve large text documents through character large object (CLOB) data types. Many commercial products support documents of up to 4 gigabytes for CLOB data, which is adequate for the vast majority of XML documents. As already mentioned, Oracle, DB2 UDB, and SQL Server all support an XML type in proprietary implementations as an alternative to using CLOBS to store XML data. To store XML documents using CLOBs, you would typically define a table that contains one 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
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number, order date, and purchase order number using INTEGER, VARCHAR, or DATE data types, 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 PO 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 efficiently 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 occurs in a comments element or some other element.
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When exchanged between applications or stored in a file or in a DBMS CLOB column, XML documents are always in text form. This makes the contents very portable, but unwieldy for computer programs to handle. An XML parser is a piece of computer software that translates XML documents from their text form to a more program-friendly, internal representation. Any SQL-based DBMS that supports XML will have an XML parser as part of its software, for its own use in processing XML. If the DBMS brand supports CLOBs, it can provide further integration with XML by allowing an XML parser to operate directly on the CLOB column contents. There are two popular types of XML parsers, which support two styles of XML processing: Document Object Model (DOM) DOM parsers transform an XML document into a hierarchical tree structure within a computer s main memory. A program can then make calls to the DOM API to navigate through the tree, moving up and down or sequentially through the element hierarchy. The DOM API makes the element structure of an XML document easily accessible to programmers and simplifies random access to portions of the document. Simple API for XML (SAX) SAX parsers transform an XML document into a series of callbacks to a program, which inform the program of each part of the XML document as it is encountered. A program can be structured to take certain actions when the beginning of a document section is encountered, or when a particular attribute is encountered. The SAX API imposes a more sequential style of processing on a program using it. The API s callback style matches well with an event-driven program structure.
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