CA2484009A1 - Managing expressions in a database system - Google Patents

Managing expressions in a database system Download PDF

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Publication number
CA2484009A1
CA2484009A1 CA002484009A CA2484009A CA2484009A1 CA 2484009 A1 CA2484009 A1 CA 2484009A1 CA 002484009 A CA002484009 A CA 002484009A CA 2484009 A CA2484009 A CA 2484009A CA 2484009 A1 CA2484009 A1 CA 2484009A1
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CA
Canada
Prior art keywords
predicate
data
query
expression
expressions
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CA002484009A
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French (fr)
Other versions
CA2484009C (en
Inventor
Aravind Yalamanchi
Dieter Gawlick
Jagannathan Srinivasan
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Oracle International Corp
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Individual
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Publication of CA2484009A1 publication Critical patent/CA2484009A1/en
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Expired - Lifetime legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21—Design, administration or maintenance of databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/80—Information retrieval; Database structures therefor; File system structures therefor of semi-structured data, e.g. markup language structured data such as SGML, XML or HTML
    • G06F16/84—Mapping; Conversion
    • G06F16/86—Mapping to a database
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/12—Use of codes for handling textual entities
    • G06F40/137—Hierarchical processing, e.g. outlines
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/953—Organization of data
    • Y10S707/961—Associative
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/99931—Database or file accessing
    • Y10S707/99933—Query processing, i.e. searching
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/99941—Database schema or data structure
    • Y10S707/99943—Generating database or data structure, e.g. via user interface

Abstract

Managing expressions includes receiving a first query that includes a conditional expression. The expression is then represented as data in a colu mn of a table. A second query is received that specifies a first set of criteri a, and the second query is executed to select data based at least on whether expressions in the column satisfy the first set of criteria. In an embodimen t, the second query further specifies a second set of criteria, wherein executi ng the second query includes selecting data based on whether data in columns other than the expression column satisfy the second criteria. A special inde x is defined, which can be created on the column that stores the expressions, to filter large sets of expressions efficiently. A method of evaluating an expression set stored as data in a table classifies each predicate from each expression, and filters the expression set based on the predicate classification.

Claims (16)

1. A method for managing expressions in a database, the method comprising the steps of:
receiving a first query that includes a first conditional expression;
representing the first conditional expression as data in a column of a table;
receiving a second query that specifies a first set of one or more criteria;
and executing the second query to select data based at least on whether conditional expressions in the column satisfy the first set of criteria.
2. The method of Claim 1, wherein the second query further specifies a second set of one or more criteria, and wherein the step of executing the second query includes selecting data based on whether data in one or more columns other than the column satisfies the second set of criteria.
3. The method of Claim 1, wherein the step of receiving a first query includes receiving the first query from a first user of a database application, and wherein the first conditional expression specifies one or more criteria that must be satisfied by data for the data to be of interest to the user.
4. The method of Claim 3, wherein the step of receiving the second query includes receiving the second query from a second user of a database application, and wherein the second query specifies a second set of one or more criteria that must be satisfied by data for the data to be made available to the first user, thus enabling mutual filtering among the first user and the second user.
5. The method of Claim 1, wherein the step of receiving a first query includes receiving the first query from a subscriber to an information subscription system, and wherein the first conditional expression specifies one or more criteria that must be satisfied by data for the data to be of interest to the subscriber.
6. The method of Claim 5, wherein the step of receiving the second query includes receiving the second query from a publisher in the subscription system, and wherein the second query specifies a second set of one or more criteria that must be satisfied by data for the data to be published to the subscriber.
7. The method of Claim 1, wherein the step of receiving the second query includes receiving the second query from a publisher in an information subscription system, and wherein the second query specifies a second set of one or more criteria that must be satisfied by data for the data to be published to a subscriber to the subscription system.
8. The method of Claim 1, wherein the step of representing a first conditional expression as data in a column includes representing a set of first conditional expressions from a plurality of first queries as data in the column, the method further comprising the steps of:
creating an index on the column of the table by grouping predicates from the set of first conditional expressions based on predicate identifiers that are associated with respective criteria of the first set of criteria;
storing in a predicate table sets of predicate operators and constants in association with respective predicate identifiers;
creating a concatenated bitmap index based on a set of predicate operators and constants associated with a particular predicate identifier.
9. A computer-readable medium carrying one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the any one of the methods recited in Claims 1-8.
10. A method for evaluating an expression set that is stored as data in a column of a table, the method comprising the steps of:
classifying each predicate from each expression of the expression set as one of, an indexed attribute predicate, wherein a bitmap index is created based on a set of operator and constant attributes that are stored in respective columns of a predicate table in association with a respective predicate identifier;
a stored attribute predicate, wherein a set of operator and constant attributes are stored in respective columns of the predicate table in association with a respective predicate identifier, and wherein no index is created on the set of operator and constant attributes;

a sparse predicate, in which a predicate identifier associated with a sparse predicate is uncommon in the expression set, and wherein a sparse predicate is stored as data in the predicate table; and filtering the expression set based on the classification of predicates from the expression set.,
11. The method of Claim 10, wherein the step of filtering the expression set includes the steps of first, filtering the indexed attribute predicates to obtain a first set of expressions that includes one or more expressions for which all of its indexed attribute predicates are true for a given data item;
second, filtering the stored attribute predicates of the first set of expressions to obtain a second set of expressions that includes one or more expressions for which all of its stored attributes are true for the given data item; and third, filtering the sparse predicates, if any, of the second set of expressions to obtain a third set of expressions that includes one or more expressions for which all of its predicates are true for the given data item.
12. The method of Claim 11, further comprising the step of:
publishing the given data item to a subscriber to an information subscription system that has expressed interest in data that meets criteria represented by an expression from the third set of expressions.
13. A computer-readable medium carrying one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the any one of the methods recited in Claims 10-12.
14. A computer-readable medium storing an index that is built on a table that has a plurality of rows, the index comprising:
concatenated bit vectors, wherein each bit vector is associated with one of an operator and a constant that are each stored in respective columns of the table;
wherein the operator and the constant are associated with a predicate of one or more predicates from a conditional expression that specifies one or more criteria that must be satisfied by data for the data to be of interest to a subscriber to a subscription system.
15. An apparatus for managing expressions in a database, comprising:
means for receiving a first query that includes a first conditional expression;
means for representing the first conditional expression as data in a column of a table;
means for receiving a second query that specifies a first set of one or more criteria; and means for executing the second query to select data based at least on whether conditional expressions in the column satisfy the first set of criteria.
16. An apparatus for evaluating an expression set that is stored as data in a column of a table, comprising:
means for classifying each predicate from each expression of the expression set as one of, an indexed attribute predicate, wherein a bitmap index is created based on a set of operator and constant attributes that are stored in respective columns of a predicate table in association with a respective predicate identifier;
a stored attribute predicate, wherein a set of operator and constant attributes are stored in respective columns of the predicate table in association with a respective predicate identifier, and wherein no index is created on the set of operator and constant attributes;
a sparse predicate, in which a predicate identifier associated with a sparse predicate is uncommon in the expression set, and wherein a sparse predicate is stored as data in the predicate table; and means for filtering the expression set based on the classification of predicates from the expression set.
CA2484009A 2002-05-10 2003-05-08 Managing expressions in a database system Expired - Lifetime CA2484009C (en)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US37801802P 2002-05-10 2002-05-10
US60/378,018 2002-05-10
US10/254,383 US7127467B2 (en) 2002-05-10 2002-09-24 Managing expressions in a database system
US10/254,383 2002-09-24
PCT/US2003/014892 WO2003098479A2 (en) 2002-05-10 2003-05-08 Managing search expressions in a database system

Publications (2)

Publication Number Publication Date
CA2484009A1 true CA2484009A1 (en) 2003-11-27
CA2484009C CA2484009C (en) 2012-12-11

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US (4) US7127467B2 (en)
EP (1) EP1504380A2 (en)
JP (1) JP2005525657A (en)
CN (1) CN100428227C (en)
AU (1) AU2003249632B2 (en)
CA (1) CA2484009C (en)
WO (1) WO2003098479A2 (en)

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