Flexible storage of XML collections within an object-relational database

Information

  • Patent Grant
  • 9069878
  • Patent Number
    9,069,878
  • Date Filed
    Friday, October 7, 2005
    19 years ago
  • Date Issued
    Tuesday, June 30, 2015
    9 years ago
Abstract
A database server determines, on an element-level of granularity, what form of VARRAY storage to map collections of elements defined by a XML schema. A collection element may be mapped to an in-line VARRAY or an out-of-line VARRAY. The determination may based on a variety of factors, including the database type mapped to the collection element, database limitations that limit the form storage for certain database types, and annotations (“mapping annotations”) embedded within that XML schema that specifying a database type for database representation of a collection element or a form of VARRAY storage.
Description
RELATED APPLICATION

This application is related to U.S. patent Ser. No. 10/259,278, entitled Mechanism for Mapping XML Schemas to Object-Relational Database Systems, filed by Ravi Murthy, et al. on Sep. 27, 2002, the contents of which are herein incorporated by reference as if originally set forth herein.


This application is related to U.S. patent Ser. No. 08/962,535, entitled Apparatus And Method For Storage Of Object Collections In A Database System, filed by Anil Nori, et al. on Oct. 31, 1997 and now issued as U.S. Pat. No. 6,061,690 on May 9, 2000, the contents of which are incorporated herein by reference and referred to herein as the Database Object Collections.


FIELD OF THE INVENTION

The present invention relates to representing XML data in a database, and in particular, to representing collections of XML elements in a database system.


BACKGROUND

The approaches described in this section are approaches that could be pursued, but not necessarily approaches that have been previously conceived or pursued. Therefore, unless otherwise indicated, it should not be assumed that any of the approaches described in this section qualify as prior art merely by virtue of their inclusion in this section.


The Extensible Markup Language (XML) is the standard for data and documents that is finding wide acceptance in the computer industry. XML describes and provides structure to a body of data, such as a file or data packet. The XML standard provides for tags that delimit sections of XML documents referred to as XML elements.


Information about the structure of specific types of XML documents may be specified in documents referred to as “XML schemas”. For example, the XML schema for a particular type of XML document may specify the names for the elements contained in that type of XML document, the hierarchical relationship between the elements contained in that type of XML document, and the type of values contained in that particular type of XML document. Standards governing XML schemas include XML Schema, Part 0, Part 1, Part 2, W3C Recommendation, 2 May 2001, the contents of which are incorporated herein by reference, XML Schema Part 1: Structures, Second Edition, W3C Recommendation 28 Oct. 2004, the contents of which are incorporated herein by reference, and XML Schema Part 2: Datatypes Second Edition, W3C Recommendation 28 Oct. 2004, the contents of which incorporated herein by reference.


XML Storage Mechanisms


Various types of storage mechanisms are used to store a XML document. One type of storage mechanism stores a XML document as a text file in a file system.


Another type of storage mechanism uses object-relational database systems that are enhanced to store and process queries for collections of XML documents. Furthermore, these object-relational database systems can store and manage XML documents as instances of XML schemas. To store and manage the XML documents in a database system, database representations, defined in terms of data types, handled by the database system, referred to herein as database types, are used to represent XML documents. Database types include, for example, native database types, such as integer and VARCHAR (“variable length character string”), or object types defined for a database system using a DDL statements (data definition language statements.


For example, a database representation of an entire XML document may be a CLOB (binary large object), or maybe one or more tables whose columns store the components of a XML document in one or more rows. A database representation may be a hierarchy of objects in an object-relational database; each object is an instance of an object class and stores one or more elements of a XML document. The object class defines, for example, the structure corresponding to an element, and includes references or pointers to objects representing the immediate descendants of the element.


Representing Collections with Varrays


XML schemas often define a collection of elements (“collection element”) by specifying within a XML schema declaration of an element a maxOcccurs attribute with a value >1. Such a collection of elements is represented within a database using a VARRAY column in a table. Each array element in a VARRAY represents a member element in a collection of elements.


An object-relational database system stores a VARRAY column in several ways, referred to herein as forms of VARRAY storage. In one form of VARRAY storage, the inline form, the array elements of a VARRAY column of a table are stored inline within the table. In another form of VARRAY storage, the array elements of a VARRAY column of a table are stored out-of-line in another table (“out-of-line table”). Further details about VARRAYS and forms of VARRAY storage are described in Database Object Collections.


The decision about how to store VARRAYs may be based on various factors. Storing a VARRAY column out-of-line requires more space. However, the out-of-line table may be queried independently and may be indexed, allowing more efficient querying of VARRAYs. Furthermore, a database limitation (such as that for a VARRAY containing a CLOB) may require that a VARRAY column be stored out-of-line rather than inline. Indexing a VARRAY column may also require out-of-line storage.


Schema-level Determination of how to Store Varrays


In an approach for controlling how to store VARRAYs, the form of VARRAY storage is controlled at the XML schema level. All VARRAY column representations for a XML schema are either stored inline or out-of-line. Thus, if a database limitation requires out-of-line storage, or if it is desired to take advantage of some of the features of out-of-line storage, all the collection elements defined by a XML schema have to be stored out-of-line in a VARRAY column even though out-of-line storage is desired or required for only a subset of the collection elements defined by the XML schema. This limitation inflates the storage cost of handling collection elements and proliferates the number of tables needed by a database system to support collection elements.


Based on the foregoing, an improved way of determining how store VARRAYs for collection elements is desired.





BRIEF DESCRIPTION OF THE DRAWINGS

The present invention is illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which like reference numerals refer to similar elements and in which:



FIG. 1 is a block diagram of a mechanism for determining how to store XML data within an object-relational database system according to an embodiment of the present invention.



FIG. 2 is a flow chart depicting a process for determining how to represent collections of elements declared by a XML schema using VARRAYs according to an embodiment of the present invention.



FIG. 3 is a flow chart depicting a computer system which may be used to implement an embodiment of the present invention.





DETAILED DESCRIPTION OF THE INVENTION

A method and apparatus for what form of VARRAY storage to use to represent a collection element is described. In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, that the present invention may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to avoid unnecessarily obscuring the present invention.


Functional Overview

Various techniques are described herein for flexibly determining a form of VARRAY storage for XML collections of elements defined by an XML schema. The determination is made by a mechanism that registers XML schemas with the database system. During the registration of a given XML schema, a database server determines a database representation for the XML schema and generates mapping information. The database representation determination is a determination about what database types should be used to represent a XML schema and/or how instances of the XML schema are stored by a database system. Determining the appropriate database representation for a given XML schema may involve, for example, determining the database types, database objects, collection types, constraints, and even the indexes that are to be used by a database system to store data for XML documents that conform to the given XML schema. The mapping information indicates the mapping between the constructs declared in the XML schema and the constructs included in the appropriate database representation.


According to an embodiment of the present invention, a database server determines, on element-by-element level of granularity, what form of VARRAY storage to map to collections of elements defined by a XML schema. A collection element may be mapped to an in-line VARRAY or an out-of-line VARRAY. An in-line VARRAY is a VARRAY column that is stored in-line. An out-of-line VARRAY is a VARRAY column that is stored out-of-line. The determination may based on a variety of factors, including the database type mapped to the collection element, database limitations that limit the form of VARRAY storage for certain database types, and annotations (“mapping annotations”) embedded within a XML schema that specify a database type for a database representation of a collection element or a form of VARRAY storage. Based on these factors, the database determines an appropriate VARRAY representation, including a database type and form of VARRAY storage, and generates mapping information mapping a collection element to a VARRAY representation. The techniques provide greater flexibility for mapping VARRAYs to XML collection elements.


System Overview


FIG. 1 is a block diagram of a system that includes a mechanism for mapping XML schemas to database representations within an object-relational database systems. The system includes a database server 104. A server, such as database server 104, is a combination of integrated software components and an allocation of computational resources, such as memory, one or more computers, and processes on the one or more computers that execute the integrated software components on a processor, the combination of the software and computational resources being dedicated to performing a particular function on behalf of one or more clients. A database server governs and facilitates access to a particular database, processing requests by clients to access the database.


Database server 104 includes a XML schema mapper 106. When a XML schema 102 is registered with database server 104, XML schema mapper 106 determines the appropriate database representation 108 for documents that conform to XML schema 102, and generates mapping information 110 that indicates the correlation between the constructs declared by the XML schema and the elements of the database representation 108.


According to an embodiment, a XML schema has to be first registered with database server 104 before it can be used or referenced within database server 104. After the registration process is completed, XML documents conforming to this schema (and referencing it via the schema URL within the document) can be stored and treated by database server 104 as instances of the XML schema.


Generation Of Mapping Information


Once the appropriate database representation has been determined during registration of a particular XML schema, mapping information is generated to indicate the correlation between the parts of the database representation and the elements identified in the particular XML schema. The mapping information may indicate, for example, that data associated with a specific element of the XML schema should be stored in a particular column of a table that is generated as part of the appropriate database representation. The mapping information enables performance benefits. For example, query performance may be improved by rewriting XPath queries to directly access the underlying columns. In addition, update performance may be improved by rewriting updates to directly update the underlying columns. Consequently, updating a portion of the XML data from a stored document would not always require rewriting the entire XML data for the stored document.


Procedure for Choosing VARRAY Representation



FIG. 2 is a flowchart representing a procedure for choosing, within an XML schema on an element-by-element basis, a form of VARRAY storage for a collection element. The procedure may be performed, for example, by a database server when registering a XML schema that declares one or more collection elements.


Referring to FIG. 2, each collection element declaration of one or more collection element declaration is evaluated by the database server. The evaluation includes step 210. At step 210, the database server determines what form of VARRAY storage to use to represent the collection element. The determination is based on one or more factors, examples which are later described.


At step 220, the database server generates a mapping between the collection element declared and a VARRAY column representation, including the form storage determined at step 210. For example, the collection element can be mapped to in-line VARRAY of integers or to a VARRAY of CLOBs holding text or even a XML subtree.


Database Type as Factor


A factor for determining a form of VARRAY storage may be based, at least in part, on a database type that represents a collection element. The following portion of a XML schema S-1 is provided below to illustrate this kind of factor.

















<element name=“Tokens”>



<complexType>



<sequence>



  <element name=“Token” type=“TokenType”



maxOccurs=“unbounded”/>



</sequence>



</complexType>



</element>



<complexType name=“TokenType”>



<sequence>



  <element name=“TokenID” type=“string”/>



  <element name=“TokenText” xdb:SQLType=“CLOB”>



  <complexType>



  <sequence>



    <element name=“TextHeading” type=“string”/>



    <element name=“TextBody” type=“string”/>



  </sequence>



  </complexType>



  </element>



</sequence>



</complexType>










XML schema S-1 includes a declaration of the complex type TokenType. The declaration of TokenType includes the mapping annotation xdb: SQLType=“CLOB”. The mapping annotation specifies to the database server that the database representation for an element of this type should be a CLOB.


Schema S-1 also declares an element with the name Tokens and a maxOccurs attribute of “unbounded”. Thus, Tokens is a collection element.


At step 210, the database server determines that the form of VARRAY storage to use for Tokens is out-of-line. The determination is based on the following factors. The mapping annotation specifies that the database type for Tokens is CLOB. Furthermore, the database server does not support inline VARRAYs having database type CLOB but does support out-of-line VARRAYs of this database type.


At step 220, the database server generates a mapping that maps an out-of-line CLOB VARRAY column of a table to element Tokens of XML schema S-1.


The factors described in the above example are illustrative but not limiting. For example, the element declaration for a XML complex type may omit a mapping annotation that maps the complex type to a database type. In this case, the database server independently determines the database type based on XML data type the XML schema declares for the element. In addition, for a database type used to represent a collection element, there may be no database limitation that limits the use of either an in-line or out-of-line VARRAY. In this case, selection between the forms of VARRAY storage can be based on, for example, efficiency factors particular to database types.


Mapping Annotations by Element


The declaration for a collection element may include a mapping annotation that maps a collection element to a form of VARRAY storage. The following portion of a XML schema S-2 is provided as an illustration.

















<element name=“Tokens”>



<complexType>



<sequence>



  <element name=“Token” type=“TokenTypeB”



maxOccurs=“unbounded” xdb:storeVarrayAsTable=“true”/>



</sequence>



</complexType>



</element>










Schema S-2 declares an element Tokens of the complexType TokenTypeB. The declaration of Tokens includes the mapping annotation xdb:storeVarrayAsTable=“true”, specifying that the form of VARRAY storage for Tokens should be an out-of-line VARRAY.


Schema S-2 may include declarations of other collection elements that omit mapping annotations that identify a form of VARRAY storage. In this case, the particular form of VARRAY storage to use may be decided by a database server and may be based on other factors, such as efficiency factors or database limitations. Thus, the user has the ability to allow the database server to select a form of VARRAY storage and ability to override the selection when desired.


Alternatively, XML schema S-2 may contain an annotation that specifies a default form of VARRAY storage, such as shown below.

















<schema xdb:storeVarrayAsTable=“false”>



.....



......



  <element.... xdb:storeVarrayAsTable=“true”/>



.....










For a particular declaration of a collection element, the default may be overridden by including a mapping annotation as shown for Token in XML schema S-2.


An embodiment of the present invention as been illustrated using several form VARRAY storage. However, the present invention is not so limited.


Hardware Overview


FIG. 3 is a block diagram that illustrates a computer system 300 upon which an embodiment of the invention may be implemented. Computer system 300 includes a bus 302 or other communication mechanism for communicating information, and a processor 304 coupled with bus 302 for processing information. Computer system 300 also includes a main memory 306, such as a random access memory (RAM) or other dynamic storage device, coupled to bus 302 for storing information and instructions to be executed by processor 304. Main memory 306 also may be used for storing temporary variables or other intermediate information during execution of instructions to be executed by processor 304. Computer system 300 further includes a read only memory (ROM) 308 or other static storage device coupled to bus 302 for storing static information and instructions for processor 304. A storage device 310, such as a magnetic disk or optical disk, is provided and coupled to bus 302 for storing information and instructions.


Computer system 300 may be coupled via bus 302 to a display 312, such as a cathode ray tube (CRT), for displaying information to a computer user. An input device 314, including alphanumeric and other keys, is coupled to bus 302 for communicating information and command selections to processor 304. Another type of user input device is cursor control 316, such as a mouse, a trackball, or cursor direction keys for communicating direction information and command selections to processor 304 and for controlling cursor movement on display 312. This input device typically has two degrees of freedom in two axes, a first axis (e.g., x) and a second axis (e.g., y), that allows the device to specify positions in a plane.


The invention is related to the use of computer system 300 for implementing the techniques described herein. According to one embodiment of the invention, those techniques are performed by computer system 300 in response to processor 304 executing one or more sequences of one or more instructions contained in main memory 306. Such instructions may be read into main memory 306 from another machine-readable medium, such as storage device 310. Execution of the sequences of instructions contained in main memory 306 causes processor 304 to perform the process steps described herein. In alternative embodiments, hard-wired circuitry may be used in place of or in combination with software instructions to implement the invention. Thus, embodiments of the invention are not limited to any specific combination of hardware circuitry and software.


The term “machine-readable medium” as used herein refers to any medium that participates in providing data that causes a machine to operation in a specific fashion. In an embodiment implemented using computer system 300, various machine-readable media are involved, for example, in providing instructions to processor 304 for execution. Such a medium may take many forms, including but not limited to, non-volatile media, volatile media, and transmission media. Non-volatile media includes, for example, optical or magnetic disks, such as storage device 310. Volatile media includes dynamic memory, such as main memory 306. Transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise bus 302. Transmission media can also take the form of acoustic or light waves, such as those generated during radio-wave and infra-red data communications. All such media must be tangible to enable the instructions carried by the media to be detected by a physical mechanism that reads the instructions into a machine.


Common forms of machine-readable media include, for example, a floppy disk, a flexible disk, hard disk, magnetic tape, or any other magnetic medium, a CD-ROM, any other optical medium, punchcards, papertape, any other physical medium with patterns of holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, any other memory chip or cartridge, a carrier wave as described hereinafter, or any other medium from which a computer can read.


Various forms of machine-readable media may be involved in carrying one or more sequences of one or more instructions to processor 304 for execution. For example, the instructions may initially be carried on a magnetic disk of a remote computer. The remote computer can load the instructions into its dynamic memory and send the instructions over a telephone line using a modem. A modem local to computer system 300 can receive the data on the telephone line and use an infra-red transmitter to convert the data to an infra-red signal. An infra-red detector can receive the data carried in the infra-red signal and appropriate circuitry can place the data on bus 302. Bus 302 carries the data to main memory 306, from which processor 304 retrieves and executes the instructions. The instructions received by main memory 306 may optionally be stored on storage device 310 either before or after execution by processor 304.


Computer system 300 also includes a communication interface 318 coupled to bus 302. Communication interface 318 provides a two-way data communication coupling to a network link 320 that is connected to a local network 322. For example, communication interface 318 may be an integrated services digital network (ISDN) card or a modem to provide a data communication connection to a corresponding type of telephone line. As another example, communication interface 318 may be a local area network (LAN) card to provide a data communication connection to a compatible LAN. Wireless links may also be implemented. In any such implementation, communication interface 318 sends and receives electrical, electromagnetic or optical signals that carry digital data streams representing various types of information.


Network link 320 typically provides data communication through one or more networks to other data devices. For example, network link 320 may provide a connection through local network 322 to a host computer 324 or to data equipment operated by an Internet Service Provider (ISP) 326. ISP 326 in turn provides data communication services through the world wide packet data communication network now commonly referred to as the “Internet” 328. Local network 322 and Internet 328 both use electrical, electromagnetic or optical signals that carry digital data streams. The signals through the various networks and the signals on network link 320 and through communication interface 318, which carry the digital data to and from computer system 300, are exemplary forms of carrier waves transporting the information.


Computer system 300 can send messages and receive data, including program code, through the network(s), network link 320 and communication interface 318. In the Internet example, a server 330 might transmit a requested code for an application program through Internet 328, ISP 326, local network 322 and communication interface 318.


The received code may be executed by processor 304 as it is received, and/or stored in storage device 310, or other non-volatile storage for later execution. In this manner, computer system 300 may obtain application code in the form of a carrier wave.


In the foregoing specification, embodiments of the invention have been described with reference to numerous specific details that may vary from implementation to implementation. Thus, the sole and exclusive indicator of what is the invention, and is intended by the applicants to be the invention, is the set of claims that issue from this application, in the specific form in which such claims issue, including any subsequent correction. Any definitions expressly set forth herein for terms contained in such claims shall govern the meaning of such terms as used in the claims. Hence, no limitation, element, property, feature, advantage or attribute that is not expressly recited in a claim should limit the scope of such claim in any way. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.


In the foregoing specification, embodiments of the invention have been described with reference to numerous specific details that may vary from implementation to implementation. Thus, the sole and exclusive indicator of what is the invention, and is intended by the applicants to be the invention, is the set of claims that issue from this application, in the specific form in which such claims issue, including any subsequent correction. Any definitions expressly set forth herein for terms contained in such claims shall govern the meaning of such terms as used in the claims. Hence, no limitation, element, property, feature, advantage or attribute that is not expressly recited in a claim should limit the scope of such claim in any way. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.

Claims
  • 1. A method used for managing XML data in a database system, comprising the steps of: a database server receiving a XML schema;wherein said XML schema includes a plurality of XML schema declarations, wherein a particular declaration of said plurality of XML schema declarations defines a particular collection element;based on said particular declaration of said plurality of XML schema declarations that defines said particular collection element, determining a database representation for storing said particular collection element in a database of the database server;said database server making a certain determination of whether to store the particular collection element as an in-line VARRAY column or an out-of-line VARRAY column based on one or more factors, wherein said one or more factors includes a database type of the database representation determined for storing the particular collection element;wherein the one or more factors are based on forms of VARRAY storage supported by said database server for the database type; andsaid database server generating mapping data that maps said particular collection element to a form of VARRAY storage determined by said certain determination.
  • 2. The method of claim 1, wherein the form of VARRAY storage determined by said certain determination is in-line storage.
  • 3. The method of claim 1, wherein the form of VARRAY storage determined by said certain determination is out-of-line storage.
  • 4. The method of claim 1, wherein: said particular declaration of said plurality of XML schema declarations includes a mapping annotation mapping said particular collection element to a form of VARRAY storage; andthe one or more factors are based on said mapping annotation.
  • 5. The method of claim 4, wherein: said XML schema specifies a default form of VARRAY storage; andsaid one or more factors are based on said form of VARRAY storage.
  • 6. A computer-implemented method for mapping a database representation in a database to XML elements defined by a XML schema, comprising the steps of: a database server evaluating said XML schema, wherein said XML schema includes a plurality of XML schema declarations, each declaration of said plurality of XML schema declarations defining a respective collection element; andwherein said evaluation includes, for said each declaration of said plurality of XML schema declarations: making a determination specific to said each declaration of whether to store the respective collection element as an in-line VARRAY or an out-of-line VARRAY based on a database type of a database representation of the respective collection element defined by said each declaration, andsaid database server generating mapping data that, for each declaration of said plurality of XML schema declarations: maps the respective collection element defined by said each declaration to a VARRAY column of a table in said database, andindicates whether the VARRAY column mapped to the respective collection element defined by said each declaration is stored in-line or out-of-line.
  • 7. The method of claim 6, wherein: a particular declaration of said plurality of XML schema declarations includes a mapping annotation mapping the respective collection element of said particular declaration to a form of VARRAY storage; andmaking a determination specific to said particular declaration of whether to use an in-line VARRAY or an out-of-line VARRAY is based on said mapping annotation.
  • 8. A non-transitory computer-readable storage medium storing instructions, the instructions including instructions which, when executed by one or more processors, cause the one or more processors to perform: a database server receiving a XML schema;wherein said XML schema includes a plurality of XML schema declarations, wherein a particular declaration of said plurality of XML schema declarations defines a particular collection element;based on said particular declaration of said plurality of XML schema declarations that defines said particular collection element, determining a database representation for storing said particular collection element in a database of the database server;said database server making a certain determination of whether to store the particular collection element as an in-line VARRAY column or an out-of-line VARRAY column based on one or more factors, wherein said one or more factors includes a database type of the database representation determined for storing the particular collection element;wherein the one or more factors are based on forms of VARRAY storage supported by said database server for the database type; andsaid database server generating mapping data that maps said particular collection element to a form of VARRAY storage determined by said certain determination.
  • 9. The non-transitory computer-readable storage medium of claim 8, wherein the form of VARRAY storage determined by said certain determination is in-line storage.
  • 10. The non-transitory computer-readable storage medium of claim 8, wherein the form of VARRAY storage determined by said certain determination is out-of-line storage.
  • 11. The non-transitory computer-readable storage medium of claim 8, wherein: said particular declaration of said plurality of XML schema declarations includes a mapping annotation mapping said respective collection element to a form of VARRAY storage; andthe one or more factors are based on said mapping annotation.
  • 12. The non-transitory computer-readable storage medium of claim 11, wherein: said XML schema specifies a default form of VARRAY storage; andsaid one or more factors are based on said form of VARRAY storage.
  • 13. A non-transitory computer-readable storage medium storing instructions for mapping a database representation in a database to XML elements defined by a XML schema, the instructions including instructions which, when executed by one or more processors, cause: a database server evaluating said XML schema, wherein said XML schema includes a plurality of XML schema declarations, each declaration of said plurality of XML schema declarations defining a respective collection element; andwherein said evaluation includes, for said each declaration of said plurality of XML schema declarations: making a determination specific to said each declaration of whether to store the respective collection element as an in-line VARRAY or an out-of-line VARRAY based on a database type of a database representation of the respective collection element defined by said each declaration, andsaid database server generating mapping data that, for each declaration of said plurality of XML schema declarations: maps the respective collection element defined by said each declaration to a VARRAY column of a table in said database, andindicates whether the VARRAY column mapped to the respective collection element defined by said each declaration is stored in-line or out-of-line.
  • 14. The non-transitory computer-readable storage medium of claim 13, wherein: a particular declaration of said plurality of XML schema declarations includes a mapping annotation mapping the respective collection element of said particular declaration to a form of VARRAY storage; andmaking a determination specific to said particular declaration of whether to use an in-line VARRAY or an out-of-line VARRAY is based on said mapping annotation.
US Referenced Citations (107)
Number Name Date Kind
5295261 Simmonetti Mar 1994 A
5404513 Powers et al. Apr 1995 A
5467471 Bader Nov 1995 A
5680614 Bakuya et al. Oct 1997 A
5724577 Exley et al. Mar 1998 A
5734887 Kingberg et al. Mar 1998 A
5878415 Olds Mar 1999 A
5974407 Sacks Oct 1999 A
5987506 Carter et al. Nov 1999 A
5999941 Andersen Dec 1999 A
6012067 Sarkar Jan 2000 A
6038563 Bapat et al. Mar 2000 A
6055544 DeRose et al. Apr 2000 A
6061684 Glasser et al. May 2000 A
6061690 Nori et al. May 2000 A
6128610 Srinivasan et al. Oct 2000 A
6128621 Weisz Oct 2000 A
6141655 Johnson et al. Oct 2000 A
6154741 Feldman Nov 2000 A
6199195 Goodwin et al. Mar 2001 B1
6208993 Shadmone Mar 2001 B1
6236988 Aldred May 2001 B1
6240407 Chang et al. May 2001 B1
6263332 Nasr et al. Jul 2001 B1
6269380 Terry et al. Jul 2001 B1
6279006 Shigemi et al. Aug 2001 B1
6279007 Uppala Aug 2001 B1
6298349 Toyoshima et al. Oct 2001 B1
6343287 Kumar et al. Jan 2002 B1
6356920 Vandersluis Mar 2002 B1
6366934 Cheng et al. Apr 2002 B1
6370537 Gilbert et al. Apr 2002 B1
6418448 Sarkar Jul 2002 B1
6438540 Nasr et al. Aug 2002 B2
6449620 Draper et al. Sep 2002 B1
6470344 Kothuri et al. Oct 2002 B1
6487546 Witkowski Nov 2002 B1
6496842 Lyness Dec 2002 B1
6571231 Sedlar May 2003 B2
6574655 Libert et al. Jun 2003 B1
6584459 Chang et al. Jun 2003 B1
6604100 Fernandez et al. Aug 2003 B1
6636845 Chau et al. Oct 2003 B2
6643633 Chau et al. Nov 2003 B2
6675354 Claussen et al. Jan 2004 B1
6718322 Brye Apr 2004 B1
6721727 Chau et al. Apr 2004 B2
6725212 Couch et al. Apr 2004 B2
6754661 Hallin et al. Jun 2004 B1
6772350 Belani et al. Aug 2004 B1
6779152 Conner et al. Aug 2004 B1
6785673 Fernandez et al. Aug 2004 B1
6826727 Mohr et al. Nov 2004 B1
6836778 Manikutty et al. Dec 2004 B2
6836857 Ten-Hove et al. Dec 2004 B2
6871204 Krishnaprasad et al. Mar 2005 B2
7031956 Lee et al. Apr 2006 B1
7092967 Pannala et al. Aug 2006 B1
7120645 Manikutty et al. Oct 2006 B2
7685137 Liu et al. Mar 2010 B2
7809763 Nori et al. Oct 2010 B2
20020015042 Robotham et al. Feb 2002 A1
20020035606 Kenton Mar 2002 A1
20020038358 Sweatt, III et al. Mar 2002 A1
20020056025 Qiu et al. May 2002 A1
20020073019 Deaton Jun 2002 A1
20020087510 Weinberg et al. Jul 2002 A1
20020116371 Dodds et al. Aug 2002 A1
20020116457 Eshleman et al. Aug 2002 A1
20020120685 Srivastava et al. Aug 2002 A1
20020123993 Chau et al. Sep 2002 A1
20020124100 Adams Sep 2002 A1
20020133484 Chau et al. Sep 2002 A1
20020143512 Shamoto et al. Oct 2002 A1
20020156772 Chau et al. Oct 2002 A1
20020156811 Krupa Oct 2002 A1
20020169788 Lee et al. Nov 2002 A1
20020184188 Mandyam et al. Dec 2002 A1
20020184401 Kadel, Jr. et al. Dec 2002 A1
20020198874 Nasr et al. Dec 2002 A1
20030004937 Salmenkaita et al. Jan 2003 A1
20030009361 Hancock et al. Jan 2003 A1
20030014397 Chau et al. Jan 2003 A1
20030033285 Jalali et al. Feb 2003 A1
20030065659 Agarwal et al. Apr 2003 A1
20030093672 Cichowlas May 2003 A1
20030101194 Rys et al. May 2003 A1
20030140308 Murthy et al. Jul 2003 A1
20030154204 Chen-Wright et al. Aug 2003 A1
20030158897 Ben-Natan et al. Aug 2003 A1
20030172135 Bobick et al. Sep 2003 A1
20030182624 Large Sep 2003 A1
20040043758 Sorvari et al. Mar 2004 A1
20040064466 Manikutty et al. Apr 2004 A1
20040148278 Milo et al. Jul 2004 A1
20040176958 Salmenkaita et al. Sep 2004 A1
20040220912 Manikutty et al. Nov 2004 A1
20040220927 Murthy et al. Nov 2004 A1
20040225680 Cameron et al. Nov 2004 A1
20040267760 Brundage et al. Dec 2004 A1
20050010896 Meliksetian et al. Jan 2005 A1
20050050058 Jain et al. Mar 2005 A1
20050050092 Jain et al. Mar 2005 A1
20050289125 Liu et al. Dec 2005 A1
20060031233 Liu et al. Feb 2006 A1
20060259519 Yakushev et al. Nov 2006 A1
20070011167 Krishnaprasad et al. Jan 2007 A1
Foreign Referenced Citations (5)
Number Date Country
1 241 589 Sep 2002 EP
WO 0049533 Aug 2000 WO
WO 0142881 Jun 2001 WO
WO 0159602 Aug 2001 WO
WO 0161566 Aug 2001 WO
Non-Patent Literature Citations (29)
Entry
Manolescu, Dragos, Review of “Metadata solutions: using metamodels, repositories, XML, and enterprise portals to generate information on demand by Adrienne Tannenbaum”, Mar. 2003, ACM Press, vol. 28, Issue 2, p. 38.
Josephine Cheng, et al., “IBM DB2 XML Extender, An end-to-end solution for storing and retrieving XML documents.,” IEEE, ICDE '00 Conference, San Diego, Feb. 2000, 128 pages.
R. Bourret et al.: A Generic Load/Extract Utility for Data Transfer Between XML Documnts and Relational Databases, Jun. 8-9, 2000, IEEE Computing SOC., pp. 134-143.
Hansrudi Noser, et al., “Dynamic 3D Visualization of Database-Defined Tree Structures on the WWW by Using Rewriting Systems,” 2000, IEEE, XP-002262516, pp. 247-254.
Sushil Jajodia, et al., “Toward a Multilevel Secure Relational Data Model,” ACM, 1991, 8393 SIGMOD Record, Jun. 20, 1991, No. 2, New York, US, XP 000364619, pp. 50-59.
S. Vorthmann, et al. “Beyond Schemas, Schema Adjuncts and the Outside World,” Markup Languages, Online!, vol. 2, No. 3, Jun. 2000, pp. 1-8.
Mi-Ok Chae, et al., “Design and Implementation of an Object-Oriented Multimedia DBMS Tightly Coupled with Information Retrieval Functions,” Proc. 17th IASTED International Conference on Applied Informatics, Feb. 15-18, 1999, abstract.
Daniele Braga et al., “A Graphical Environment to Query XML Data with Query,” Proceedings of the Fourth International Conference on Web Information Systems Engineering (WISE '03), 2003, IEEE, 10 pages.
J. Shanmugasundaram, et al. “Querying XML Views of Relational Data,” Proceedings of the 27th Very Large Databases Conference, Rome, Italy, Sep. 2001, pp. 261-270.
Sandeepan Banerjee, Oracle Corporation, “Oracle 9i ‘Project XDB’—The XML Database,” Oracle—2001, (pp. 1-18).
Sandeepan Banerjee, et al., “Oracle8i—The XML Enabled Data Management System,” Oracle Corporation, Mar. 2000 IEEE pp. 561-568.
Ramon Lawrence et al., “Integrating Relational Database Schemas Using a Standardized Dictionary,” 2001, ACM (pp. 225-230).
Latifur Khan et al., “A Performance Evaluation of Storing XML Data in Relational Database Management Systems,” ACM-2001 (pp. 31-38).
Philip Bohannon, et al., “From XML Schema to Relations: A Cost-Based Approach to XML Storage,” Bell Laboratories, IEEE, 2002, Proceedings of the 18th International Conference on Data Engineering (ICDE'02), 12 pages.
Raghu Ramakrishnan, et al., “SRQL: Sorted Relational Query Language,” Jul. 1-3, 1998, IEEE pp. 84-95.
Daniela Florescu et al., “A Performance Evaluation of Alternative Mapping Schemes for Storing XML Data in a Relational Database,” May 1999, XP-002168318, pp. 1-31.
Melton, John, “ISO-ANSI Working Draft, XML-Related Specifications (SQL/XML),” WG3: DRS-020, H2-2002-365, Aug. 2002, 154 pages.
Oracle Corporation, “Oracle9i XML Database Developer's Guide—Oracle XML DB,” Release 2 (9.2), Mar. 2002, Part No. A96620-1, pp. 4-31-4-35, 5-21-5-24 and 5-70-5-71.
W3C, “XML Schema Part 1: Structures,” W3C Recommendation, May 2, 2001, <http://www.w3.org/TR/2001/REC-xmlschema-1-20010502/>, pp. 1-203.
W3C, “XML Schema Part 2: Datatypes,” W3C Recommendation, May 2, 2001, <http://www.w3.org/TR/2001/REC-xmlschema-2-20010502/>, pp. 1-146.
Ming-Ling Lo et al., “XAS: A System for Accessing Componentized, Virtual XML Documents,” IEEE, 2001, pp. 493-502.
Andrea Zisman et al., “Using XML to Build Consistency Rules for Distributed Specifications,” Proceedings of the Tenth International Workshop on Software Specification and Design (IWSD'00), IEEE 2000, 8 pages.
Jussi Myllymaki, “Effective Web Data Extraction with Standard XML Technologies,” WWW10, May 1-5, 2001, pp. 689-696.
Albrecht Schmidt et al., “Why and How to Benchmark XML Databases,” SIGMOND Record, vol. 3, No. 3, Sep. 2001, pp. 27-32.
Japanese Patent Office, “Notice of Grounds of Rejection”, Patent application No. 533163/2003, mailed Aug. 19, 2008, 7 pages.
Claims, Patent application No. 533163/2003, 9 pages.
Tomoharu, Asami, “Development of Database System by XML, Relaxer, and JDBC”, partial English translation, XML Press, Gijutsu-Hyohron Co., Jul. 10, 2001, vol. 3, 2 pages.
Makoto, Onizuka, “XML and Database”, partial English translation, XML Magazine, Shoeisha Co., Ltd., Jul. 1, 2000, vol. 10, No. 3, 1 page.
Hironobu, Koyaku, “What is brought to SQL Server 2000 by XML?”, partial English translation, Enterprise Servers, IDG Japan, Dec. 1, 2000, vol. 3, No. 12, 1 page.
Related Publications (1)
Number Date Country
20070083542 A1 Apr 2007 US