1 Introduction to Oracle XML DB

APIs for XML

Table 1-1 lists the reference documentation for the PL/SQL, C, and C++ Application Programming Interfaces (APIs) that you can use to manipulate XML data. The main reference for PL/SQL, C, and C++ APIs is Oracle Database PL/SQL Packages and Types Reference.

Catalog Views Related to XML

Table 1-2 lists the catalog views related to XML. Information about a given view can be obtained by using SQL command DESCRIBE.

DESCRIBE USER_XML_SCHEMAS

USER_XML_SCHEMAS

ALL_XML_SCHEMAS

DBA_XML_SCHEMAS

USER_XML_TABLES

ALL_XML_TABLES

DBA_XML_TABLES

USER_XML_TAB_COLS

ALL_XML_TAB_COLS

DBA_XML_TAB_COLS

USER_XML_VIEWS

ALL_XML_VIEWS

DBA_XML_VIEWS

USER_XML_VIEW_COLS

ALL_XML_VIEW_COLS

DBA_XML_VIEW_COLS

In addition to the views ALL_XML_TABLES, DBA_XML_TABLES, and USER_XML_TABLES, views ALL_OBJECT_TABLES, DBA_OBJECT_TABLES, and USER_OBJECT_TABLES provide tablespace and other storage information for XMLType data stored object-relationally.

Overview of Oracle XML DB Repository

Oracle XML DB Repository is a component of Oracle Database that lets you handle XML data using a file/folder/URL metaphor. The repository contains resources, which can be either folders (directories, containers) or files.

A resource has these properties:

• It is identified by a path and name.

• It has content (data), which can be XML data but need not be.

• It has a set of system-defined metadata (properties), such as Owner and CreationDate, in addition to its content. Oracle XML DB uses this information to manage the resource.

• It might also have user-defined metadata. Like system-defined metadata, this is information that is not part of the content, but is associated with it.

• It has an associated access control list that determines who can access the resource, and for what operations.

Although Oracle XML DB Repository treats XML content specially, you can use the repository to store other kinds of data besides XML. You can use the repository to access any data that is stored in Oracle Database.

You can access data in the repository in the following ways (see Figure 1-1):

• SQL – Using views RESOURCE_VIEW and PATH_VIEW

• PL/SQL – Using package DBML_XDB

• Java – Using the Oracle XML DB resource API for Java

Oracle XML DB Repository Architecture

Figure 1-3 illustrates the architecture of Oracle XML DB Repository.

See Also:

• Chapter 21, "Accessing Oracle XML DB Repository Data"

• Chapter 25, "Accessing the Repository using RESOURCE_VIEW and PATH_VIEW"

Figure 1-3 Oracle XML DB Repository Architecture

Description of "Figure 1-3 Oracle XML DB Repository Architecture"

Files and Folders

Relational databases are traditionally poor at managing hierarchical structures and traversing a path or a URL. Oracle XML DB Repository provides you with a hierarchical organization of XML content in the database. You can query and manage it as if it were organized using files and folders.

The relational table-row-column metaphor is an effective model for managing highly structured data. It can be less effective for managing semi-structured and unstructured data, such as document-oriented XML data.

For example, a book is not easily represented as a set of rows in a table. It might be more natural to represent a book as a hierarchy, book — chapter — section — paragraph, and to represent the hierarchy as a set of folders and subfolders.

• A hierarchical repository index speeds up folder and path traversals. Oracle XML DB includes a patented hierarchical index that speeds up folder and path traversals in Oracle XML DB Repository. The hierarchical repository index is transparent to end users, and lets Oracle XML DB perform folder and path traversals at speeds comparable to or faster than conventional file systems.

• You can access XML documents in Oracle XML DB Repository using standard connect-access protocols such as FTP, HTTP(S), and WebDAV, in addition to languages SQL, PL/SQL, Java, and C. The repository provides content authors and editors direct access to XML content stored in Oracle Database.

• A resource in this context is a file or folder, identified by a URL. WebDAV is an IETF standard that defines a set of extensions to the HTTP protocol. It lets an HTTP server act as a file server for a DAV-enabled client. For example, a WebDAV-enabled editor can interact with an HTTP/WebDAV server as if it were a file system. The WebDAV standard uses the term resource to describe a file or a folder. Each resource managed by a WebDAV server is identified by a URL. Oracle XML DB adds native support to Oracle Database for these protocols. The protocols were designed for document-centric operations. By providing support for these protocols, Oracle XML DB lets Microsoft Windows Explorer, Microsoft Office, and products from vendors such as Altova and Adobe work directly with XML content stored in Oracle XML DB Repository. Figure 1-4 shows the root-level directory of the repository as seen from a Web browser.

Figure 1-4 Web Browser View of Oracle XML DB Repository

Description of "Figure 1-4 Web Browser View of Oracle XML DB Repository"

See Also:

Chapter 3, "Using Oracle XML DB"

Hence, WebDAV clients such as Microsoft Windows Explorer can connect directly to Oracle XML DB Repository. No additional Oracle Database or Microsoft-specific software or other complex middleware is needed. End users can work directly with Oracle XML DB Repository using familiar tools and interfaces.

LSNRCTL for 32-bit Windows: Version 11.1.0.5.0 - Production on 20-AUG-2007 16:02:34
 
Copyright (c) 1991, 2007, Oracle.  All rights reserved.
 
Connecting to (DESCRIPTION=(ADDRESS=(PROTOCOL=IPC)(KEY=EXTPROC1521))) STATUS of the LISTENER
--------------------------------------------------------------------------------------------
Alias                          LISTENER
Version                        TNSLSNR for 32-bit Windows: Version 11.1.0.5.0 - Beta
Start Date                     20-JUN-2007 15:35:40
Uptime                         0 days 16 hr. 47 min. 42 sec
Trace Level                    off
Security                       ON: Local OS Authentication
SNMP                           OFF
Listener Parameter File        C:\oracle\product\11.1.0\db_1\network\admin\listener.ora
Listener Log File              c:\oracle\diag\tnslsnr\quine-pc\listener\alert\log.xml
 
Listening Endpoints Summary... 
(DESCRIPTION=(ADDRESS=(PROTOCOL=ipc)(PIPENAME=\\.\pipe\EXTPROC1521ipc)))
(DESCRIPTION=(ADDRESS=(PROTOCOL=tcp)(HOST=quine-pc.example.com)(PORT=1521)))
(DESCRIPTION=(ADDRESS=(PROTOCOL=tcp)(HOST=quine-pc.example.com)
             (PORT=21))(Presentation=FTP)(Session=RAW)) (DESCRIPTION=(ADDRESS=(PROTOCOL=tcp)(HOST=quine-pc.example.com)
             (PORT=443))(Presentation=HTTP)(Session=RAW))
Services Summary...
Service "orcl.example.com" has 1 instance(s).
  Instance "orcl", status READY, has 1 handler(s) for this service...
Service "orclXDB.example.com" has 1 instance(s).
  Instance "orcl", status READY, has 1 handler(s) for this service...
Service "orcl_XPT.example.com" has 1 instance(s).
  Instance "orcl", status READY, has 1 handler(s) for this service...
The command completed successfully

Programmatic Access to Oracle XML DB (Java, PL/SQL, and C)

All Oracle XML DB functionality is accessible from C, PL/SQL, and Java. You can build Web-based applications in various ways, including these:

• Using servlets and Java Server Pages (JSP). A typical API accesses data using Java Database Connectivity (JDBC).

• Using Extensible Stylesheet Language (XSL) plus XML Server Pages (XSP). A typical API accesses data in the form of XML documents that are processed using a Document Object Model (DOM) API implementation.

Oracle XML DB supports such styles of application development. It provides Java, PL/SQL, and C implementations of the DOM API.Applications that use JDBC, such as those based on servlets, need prior knowledge of the data structure they are processing. Oracle JDBC drivers allow you to access and update XMLType tables and columns, and call PL/SQL procedures that access Oracle XML DB Repository.Applications that use DOM, such as those based on XSLT transformations, typically require less knowledge of the data structure. DOM-based applications use string names to identify pieces of content, and must dynamically walk through the DOM tree to find the required information. For this, Oracle XML DB supports the use of the DOM API to access and update XMLType columns and tables. Programming to a DOM API is more flexible than programming through JDBC, but it may require more resources at run time.

XMLType Data Type

XMLType is an abstract native SQL data type for XML data. It provides methods that allow operations such as XML Schema validation and XSL transformation of XML content. You can use XMLType as you would any other SQL data type. For example, you can use XMLType when you do any of the following:

• Create a column in a relational table

• Declare a PL/SQL variable

• Define or call a PL/SQL procedure or function

XMLType is an Oracle Database object type, so you can also create a table of XMLType object instances. By default, an XMLType table or column can contain any well-formed XML document.

XML Schema Support

Support for the Worldwide Web Consortium (W3C) XML Schema Recommendation is a key feature in Oracle XML DB. XML Schema specifies the structure, content, and certain semantics of XML documents. It is described in detail at http://www.w3.org/TR/xmlschema-0/.

The W3C Schema Working Group publishes a particular XML schema, often referred to as the schema for schemas, that provides the definition, or vocabulary, of the XML Schema language. An XML schema definition (XSD^Foot 1 ), also called an XML schema, is an XML document that is compliant with the vocabulary defined by the schema for schemas.

An XML schema uses vocabulary defined by the schema for schemas to create a collection of XML Schema type definitions and element declarations that comprise a vocabulary for describing the contents and structure of a new class of XML documents, the XML instance documents that conform to that XML schema.

The XML Schema language provides strong typing of elements and attributes. It defines numerous scalar data types. This base set of data types can be extended to define more complex types, using object-oriented techniques such as inheritance and extension. The XML Schema vocabulary also includes constructs that you can use to define complex types, substitution groups, repeating sets, nesting, ordering, and so on. Oracle XML DB supports all of the constructs defined by the XML Schema Recommendation, except for redefines.

XML schemas are commonly used as a mechanism for checking (validating) whether XML instance documents conform with their specifications. Oracle XML DB includes XMLType methods and SQL functions that you can use to validate XML documents against an XML schema.

In Oracle XML DB, you can use a standard data model for all of your data, regardless of how structured it is. You can use XML Schema to automatically create database tables for storing your XML data. XML schema-based data maintains DOM fidelity and allows for significant database optimizations.

XML schema-based data can be stored using any Oracle XML DB XMLType storage model: binary XML storage, structured (object-relational) storage, or unstructured (CLOB) storage. Non-schema-based XML data can be stored using binary XML storage or unstructured storage.

You can also wrap existing relational and object-relational data as XMLType views, which can optionally be XML schema-based. You can map from incoming XML documents to XMLType storage, specifying the mapping using a registered XML schema.

XMLType Storage Models

XMLType is an abstract data type that provides different storage models to best fit your data and your use of it. As an abstract data type, your applications and database queries gain in flexibility: the same interface is available for all XMLType operations. Because different storage (persistence) models are available, you can tailor performance and functionality to best fit the kind of XML data you have and the pattern of its use. One key decision to make when using Oracle XML DB for persisting XML data as XMLType is thus which storage model to use for which XML data.

You can change XMLType storage from one model to another, using database import/export (see Chapter 36, "Exporting and Importing XMLType Tables"). Your application code need not change. You can change XML storage options when tuning your application.

XMLType tables and columns can be stored in these ways:

• Structured storage – XMLType data is stored as a set of objects. This is also referred to as object-relational storage and object-based persistence.

• Unstructured storage – XMLType data is stored in Character Large Object (CLOB) instances. This is also referred to as CLOB storage and text-based persistence.

• Binary XML storage – XMLType data is stored in a post-parse, binary format specifically designed for XML data. Binary XML is compact, post-parse, XML schema-aware XML. This is also referred to as post-parse persistence.

Oracle Database provides two LOB storage options, SecureFile and BasicFile. Either of these can be used with unstructured (CLOB-based) XMLType storage. BasicFile LOB storage is the default for unstructured storage.

For binary XML data, SecureFile is the default storage option.^Foot 2  However, if either of the following is true then it is not possible to use SecureFile LOB storage. In that case, BasicFile is the default option for binary XML data:

• The tablespace for the XMLType table does not use automatic segment space management.

• A setting in file init.ora prevents SecureFile LOB storage. For example, see parameter DB_SECUREFILE.

You can mix storage models, using one model for one part of an XML document and a different model for another part. The mixture of structured and unstructured storage is sometimes called hybrid storage. What is true about structured storage is true about the structured part of hybrid storage. What is true about unstructured storage is true about the unstructured part of hybrid storage.

XMLType has multiple storage models, and some models can be configured in more than one way. Each model has its advantages, depending on the context. Each model has one or more types of index that are appropriate for it.

The first thing to consider, when choosing an XMLType storage model, is the nature of your XML data and the ways you use it. A spectrum exists, with data-centric use of highly structured data at one end, and document-centric use of highly unstructured data at the other. The first question to ask yourself is this: Is your use case primarily data-centric or document-centric?

• Data-centric – Your data is, in general, highly structured, with relatively static and predictable structure, and your applications take advantage of this structure. Your data conforms to an XML schema.

• Document-centric – Two cases:

  • Your data is generally without structure or of variable structure. Document structure can vary over time (evolution). Content is mixed (semi-structured): many elements contain both text nodes and child elements. Many XML elements can be absent or can appear in different orders. Documents might or might not conform to an XML schema.

  • Your data relatively structured, but your applications do not take advantage of that structure: they treat the data as if it were without structure.

Once you've located the data-centric or document-centric half of the spectrum that is appropriate for your use case and data, consider whether your case is at an end of the spectrum or closer to the middle. That is, just how data-centric or document-centric is your case?

• Employ object-relational (structured) storage for purely data-centric uses. A typical example of this use case would be an employee record (fields employee number, name, address, and so on). Use B-tree indexing with object-relational storage.

• Employ hybrid storage if your data is composed primarily of invariable XML structures, but it does contain some variable data; that is, it contains a predictably few mixed-content elements. A typical example of this use case would be an employee record that includes a free-form resume. Index the structured and unstructured parts of your data separately, using appropriate indexes for each part.

• Employ binary XML storage or CLOB-based (unstructured) storage for all document-centric use cases. XMLIndex is the indexing method of choice here.

  • For general indexing of document-centric XML data, use XMLIndex indexes with unstructured components. A typical example of this use case would be an XML Web document or a book chapter.

  • If your data contains some predictable, fixed structures that you query frequently, then you can use XMLIndex indexes with structured components on those parts. A typical example of this use case would be a free-form specification, with author, date, and title fields.

  A single XMLIndex index can have both structured and unstructured components, to handle islands of structure within generally unstructured content. A use case where you might use both components would be to support queries that extract an XML fragment from a document whenever some structured data is present. The unstructured index component is used for the fragment extraction. The structured component is used for the SQL WHERE clause that checks for the structured data.

In all cases, you can additionally use Oracle Text indexing for full-text queries. This is especially useful for document-centric cases.

These considerations are summarized in Figure 1-5. The figure shows the spectrum of use cases, from most data-centric, at the left, to most document-centric, at the right. The table in the figure classifies use cases and shows the corresponding storage models and indexing methods.

Figure 1-5 XML Use Cases and XMLType Storage Models

Description of "Figure 1-5 XML Use Cases and XMLType Storage Models"

See Chapter 6, "Indexing XMLType Data" for more information about indexing XML data. In particular, note that some types of indexing are complementary or orthogonal, so you can use them together.

The following list and Table 1-3 outline some of the advantages of each storage model.

• Structured (object-relational) storage advantages over the other storage models include near-relational query and update performance, optimized memory management, reduced storage requirements, B-tree indexing, and in-place updates. These advantages are at a cost of increased processing overhead during ingestion and full retrieval of XML data, and reduced flexibility in the structure of the XML that can be managed by a given XMLType table or column. Structural flexibility is reduced because data and metadata (such as column names) are separated in object-relational storage. Instance structures cannot vary easily. Structured storage is particularly appropriate for highly structured data whose structure does not vary, if this maps to a manageable number of database tables and joins.

• Unstructured (CLOB) storage enables higher throughput than structured storage when inserting and retrieving entire XML documents. No data conversion is needed, so the same format can be used outside the database. Unstructured storage also provides greater flexibility than structured storage in the structure of the XML that can be stored. Unstructured storage is particularly appropriate for document-centric use cases. These advantages can come at the expense of certain aspects of intelligent processing: in the absence of indexing, there is little that the database can do to optimize queries or updates on XML data that is stored in a CLOB instance. In particular, the cost of XML parsing (often implicit) can significantly impact query performance. Indexing with XMLIndex can improve the performance of queries against unstructured storage.

• Binary XML storage provides more efficient database storage, updating, indexing, and fragment extraction than unstructured storage. It can provide better query performance than unstructured storage — it does not suffer from the XML parsing bottleneck (it is a post-parse persistence model). Like structured storage, binary XML storage is aware of XML Schema data types and can take advantage of native database data types. Like structured storage, binary XML storage allows for piecewise updates. Because binary XML data can also be used outside the database, it can serve as an efficient XML exchange medium, and you can off load work from the database to increase overall performance in many cases. Like unstructured storage, binary XML data is kept in document order. Like structured storage, data and metadata can, using binary storage, be separated at the database level, for efficiency. Like unstructured storage, however, binary XML storage allows for intermixed data and metadata, which lets instance structures vary. Binary XML storage allows for very complex and variable data, which in the structured-storage model could necessitate using many database tables. Unlike the other XMLType storage models, you can use binary storage for XML schema-based data even if the XML schema is not known beforehand, and you can store multiple XML schemas in the same table and query across common elements.

^Footnote 1 Partitioning of ordered collection tables (OCTs) reflects the partitioning of the top-level XMLType tables. Partition maintenance operations on the top-level tables are cascaded to the associated OCTs. See "Partitioning XMLType Tables and Columns Stored Object-Relationally".

When XMLType is stored object-relationally, the XMLType instances contain hidden columns that store information about the XML data that does not fit into the SQL object model.

XML/SQL Duality

A key objective of Oracle XML DB is to provide XML/SQL duality. XML programmers can leverage the power of the relational model when working with XML content and SQL programmers can leverage the flexibility of XML when working with relational content. This lets you use the most appropriate tools for a particular business problem.

XML/SQL duality means that the same data can be exposed as rows in a table and manipulated using SQL or exposed as nodes in an XML document and manipulated using techniques such as DOM and XSL transformation. Access and processing techniques are independent of the underlying storage format.

These features provide simple solutions to common business problems. For example:

• You can use Oracle XML DB SQL functions to generate XML data directly from a SQL query. You can then transform the XML data into other formats, such as HTML, using the database-resident XSLT processor.

• You can access XML content without converting between different data formats, using SQL queries, on-line analytical processing (OLAP), and business-intelligence/data warehousing operations.

• You can perform text, spatial data, and multimedia operations on XML content.

SQL/XML Standard Functions

Oracle XML DB provides the SQL functions that are defined in the SQL/XML standard. SQL/XML functions fall into two groups:

• Functions that you can use to generate XML data from the result of a SQL query. In this book, these are called SQL/XML publishing functions. They are also sometimes called SQL/XML generation functions.

• Functions that you can use to query and access XML content as part of normal SQL operations. In this book, these are called SQL/XML query and access functions.

Using SQL/XML functions you can address XML content in any part of a SQL statement. These functions use XQuery or XPath expressions to traverse the XML structure and identify the nodes on which to operate. The ability to embed XQuery and XPath expressions in SQL statements greatly simplifies XML access.

Automatic Rewriting of XQuery and XPath Expressions

SQL/XML functions and XMLType methods use XQuery or XPath expressions to search collections of XML documents and to access a subset of the nodes contained within an XML document. In many cases, Oracle XML DB is able to automatically rewrite such expressions to code that executes directly against the underlying database objects.

Unifying Data and Content

Most application data and Web content is stored in a relational database, a file system, or both. XML data is often used for data exchange, and it can be generated from a relational database or a file system. As the volume of XML data exchanged grows, the cost of regenerating this data grows, and these storage methods become less effective at accommodating XML content.

Figure 1-7 Unifying Data and Content: Some Common XML Architectures

Description of "Figure 1-7 Unifying Data and Content: Some Common XML Architectures"

Organizations often manage their structured data and unstructured data differently:

• Unstructured data, in tables, makes document access transparent and table access complex.

• Structured data, often in binary large objects (such as in BLOB instances), makes access more complex and table access transparent.

With Oracle XML DB, you can store and manage data that is structured, unstructured, and semi-structured using a standard data model and standard SQL and XML. You can perform SQL operations on XML documents and XML operations on object-relational (such as table) data.

Efficient Storage and Retrieval of Complex XML Documents

Users today face a performance barrier when storing and retrieving complex, large, or many XML documents. Oracle XML DB provides high performance and scalability for XML operations. The major performance features are:

• Native XMLType. See Chapter 4, "XMLType Operations".

• A lazily evaluated virtual DOM. See Chapter 13, "PL/SQL APIs for XMLType".

• XQuery, XPath, and XSLT support. This is described in several chapters, including Chapter 4, "XMLType Operations", Chapter 11, "Transforming and Validating XMLType Data", and Chapter 5, "Using XQuery with Oracle XML DB".

• XML schema caching support. See Chapter 7, "XML Schema Storage and Query: Basic".

• Indexing, both full-text and XML. See Chapter 6, "Indexing XMLType Data" and Chapter 12, "Full-Text Search Over XML Data".

• A hierarchical index over Oracle XML DB Repository. See Chapter 21, "Accessing Oracle XML DB Repository Data".

Use XMLType Views If Your Data Is Not XML

XMLType views provide a way for you wrap existing relational and object-relational data in XML format. This is especially useful if, for example, your legacy data is not in XML format but you must migrate it to XML format. Using XMLType views, you need not alter your application code.

To use XMLType views, you must first register an XML schema with annotations that represent a bidirectional mapping between XML Schema data types and either SQL data types or binary XML encoding types. You can then create an XMLType view conforming to this mapping, by providing an underlying query that constructs instances of the appropriate types.

Search XML Data using Oracle Text

Oracle Database enables special indexing on XML data, including Oracle Text indexes for section searching, SQL functions to process XML data, aggregation of XML data, and special optimization of queries involving XML data. Oracle SQL functions hasPath and inPath are designed to optimize XML data searches where you can search within XML text for substring matches.

Build Messaging Applications using Oracle Streams Advanced Queuing

Oracle Streams Advanced Queuing supports the use of:

• XMLType as a message/payload type, including XML schema-based XMLType

• Queuing or dequeuing of XMLType messages

  See Also:

  • Oracle Streams Advanced Queuing User's Guide for information about using XMLType with Oracle Streams Advanced Queuing

  • Chapter 37, "Exchanging XML Data using Oracle Streams AQ"