CN110990406B - Fuzzy query method, device, equipment and medium - Google Patents

Fuzzy query method, device, equipment and medium Download PDF

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CN110990406B
CN110990406B CN201911194134.0A CN201911194134A CN110990406B CN 110990406 B CN110990406 B CN 110990406B CN 201911194134 A CN201911194134 A CN 201911194134A CN 110990406 B CN110990406 B CN 110990406B
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data dictionary
field information
field
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CN110990406A (en
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熊潇
田茂伟
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China Construction Bank Corp
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    • 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
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2228—Indexing structures
    • 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
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2468—Fuzzy queries
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The invention discloses a fuzzy query method, a fuzzy query device, fuzzy query equipment and a fuzzy query medium. Wherein the method comprises the following steps: inquiring target field information and target coding information associated with target keywords from change information of a pre-constructed data dictionary in response to the target keywords to be inquired; and acquiring a fuzzy query result of the target keyword from an index of the actually stored data according to the target field information and the target coding information. The embodiment of the invention provides a universal method for fuzzily inquiring a coded field, which solves the problems that the coded field is changed to require full refreshing data and an index is rebuilt in a fuzzily searching scene, and improves the fuzzily inquiring efficiency after the coded field is changed.

Description

Fuzzy query method, device, equipment and medium
Technical Field
The embodiment of the invention relates to the technical field of big data detection, in particular to a fuzzy query method, a fuzzy query device, fuzzy query equipment and fuzzy query media.
Background
In an enterprise, i.e., system framework, most fields store codes in order to achieve unification of data dictionaries in various systems. When the fuzzy search is performed on the enterprise-level data, the fuzzy search cannot be directly performed on the code field.
In general, when performing fuzzy search on the data dictionary containing the code values, the code values need to be directly translated and stored in a search engine by using data fields. However, when the data dictionary is modified, the scheme needs to refresh the search engine data reconstruction index in full quantity, has high technical difficulty and has low query efficiency on the changed fields.
Disclosure of Invention
The invention provides a fuzzy query method, a device, equipment and a medium, provides a general two-level index fuzzy query method for big data, and improves the query efficiency of changed data in a data dictionary.
In a first aspect, an embodiment of the present invention provides a fuzzy query method, where the method includes:
inquiring target field information and target coding information associated with target keywords from change information of a pre-constructed data dictionary in response to the target keywords to be inquired;
and acquiring a fuzzy query result of the target keyword from the actual stored data according to the target field information and the target coding information.
In a second aspect, an embodiment of the present invention further provides a fuzzy query device, where the device includes:
the change information query module is used for responding to target keywords to be queried, and querying target field information and target coding information associated with the target keywords from change information of a pre-constructed data dictionary;
and the query result acquisition module is used for acquiring the fuzzy query result of the target keyword from the data dictionary according to the target field information and the target coding information. In a third aspect, an embodiment of the present invention further provides an apparatus, where the apparatus includes:
one or more processors;
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement a fuzzy query method as described in any of the embodiments of the present invention.
In a fourth aspect, embodiments of the present invention further provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a fuzzy query method according to any of the embodiments of the present invention.
According to the invention, the target field information and the target coding information associated with the target keyword are queried from the change information of the pre-constructed data dictionary in response to the target keyword to be queried, and further the fuzzy query result of the target keyword is obtained from the index of the actually stored data according to the target field information and the target coding information. The method for fuzzy search of the code field is universal, the problem that the code field is changed to require full refreshing data and index is rebuilt in a fuzzy search scene is solved, and meanwhile, the fuzzy search efficiency after the code field is changed is improved.
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FIG. 1 is a flowchart of a fuzzy query method according to an embodiment of the present invention;
FIG. 2 is a flowchart of a fuzzy query method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a fuzzy query device according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1 is a flowchart of a fuzzy query method according to an embodiment of the present invention, where the embodiment is applicable to a case of performing fuzzy query on big data, and typically, the method may be applied to two-level index fuzzy query of elastic search. The method may be performed by a fuzzy query device, which may be implemented in software and/or hardware. Referring to fig. 1, the method specifically includes the steps of:
and 110, responding to the target keywords to be queried, and querying target field information and target coding information associated with the target keywords from change information of a pre-constructed data dictionary.
The data dictionary is a directory of record databases and application metadata that can be accessed by a user. In this embodiment, when the data dictionary is applied to the enterprise-level system framework, most of the fields in the data dictionary are stored in the form of codes, and specifically, the data dictionary stores codes, code fields and translation directories corresponding to the code values.
Further, the change information of the data dictionary may be a data dictionary secondary query index structure table, which is used for storing the changed field information and the encoded value corresponding to the field information in the data dictionary. Specifically, when modeling an elastic search, the base index is divided into two indexes, one of which is a normal elastic search index and one of which is a data dictionary query index for realizing a two-level fuzzy query. Wherein, the field information and the coding information of the coding field are simultaneously stored in the data dictionary of the elastic search index.
Further, the change information of the data dictionary includes at least one of the following: the modified field information in the data dictionary and associated coding information, standard classification codes, standard classification names, english abbreviations of data items, version dates of the data dictionary and the like.
Illustratively, the following table refers to a data dictionary secondary query index structure corresponding to change information of the data dictionary. The ALL represents changed field information and coding information in the data dictionary and is used for carrying out fuzzy search of target keywords.
Figure GDA0004193209040000041
Further, in response to a target keyword to be queried, querying target field information and target coding information associated with the target keyword from change information of a pre-constructed data dictionary, including:
and if the target keyword and the field information changed in any one of the data dictionaries belong to synonyms, taking the field information as target field information, and taking the coding information associated with the target field information as target coding information.
For example, if the target keyword to be queried is a, performing synonym query on ALL fields in the change information of the data dictionary according to a preset synonym rule, acquiring the data field name and the code value of the synonym corresponding to the a in the change information of the data dictionary, and taking the acquired data field information and code value as target field information and target code information.
And 120, acquiring a fuzzy query result of the target keyword from an index of the actually stored data according to the target field information and the target coding information.
The index of the actually stored data contains codes, code fields and translation directories corresponding to the code values in the data dictionary, and also contains other non-coded field information.
Further, after the target field information and the target coding information of the target keyword are obtained from the change information of the data dictionary, the accurate matching is performed in the data dictionary according to the obtained information, so as to obtain a fuzzy query result of the target keyword. The query efficiency of the data dictionary change information is improved by the fuzzy query mode of the secondary index.
According to the technical scheme of the embodiment, the target field information and the target coding information related to the target keywords are queried from the change information of the pre-constructed data dictionary in response to the target keywords to be queried, and further the fuzzy query result of the target keywords is obtained from the index of the actually stored data according to the target field information and the target coding information. The fuzzy search is carried out through the change information of the pre-constructed data dictionary, so that a universal fuzzy query coding field method is provided, and the query efficiency of the change data in the data dictionary is improved.
Further, on the basis of the above embodiment, when the secondary index of the data dictionary corresponding to the change information of the data dictionary is initialized, only the field information of the change of the data dictionary is recorded. When the data dictionary index is empty, the related target dictionary information and coding information cannot be matched when the target keyword is used for carrying out secondary indexing, but because the coding field and the coding value are stored in the data dictionary of the data index, the target keyword can be used for directly carrying out indexing in the data index, and the method also realizes the initial fuzzy matching requirement while the original value is stored.
Example two
Fig. 2 is a flowchart of a fuzzy query method according to a second embodiment of the present invention. Based on the above embodiment, the method further includes, before step 110, obtaining new field information and new coding information associated with the new field information in response to a change operation of any field information in the data dictionary; and writing the new field information and the new coding information associated with the new field into the change information of the data dictionary. Referring to fig. 2, the method specifically includes the steps of:
step 210, in response to the change operation of any field information in the data dictionary, obtaining new field information and new coding information associated with the new field information.
In this embodiment, the change information of the data dictionary is initialized to be empty and is used to record the change information of the data dictionary. When field information in the data dictionary is changed, new changed field information and new coded information corresponding to the new field information need to be acquired.
And 220, writing the new field information and the new coding information associated with the new field into the change information of the data dictionary.
Further, after the new field information and the new code information are acquired, the new field information and the new code information are written into the change information of the data dictionary, and the method realizes the function of synonyms and simultaneously saves the original value of the field before the change in the data dictionary.
And step 230, responding to the target keyword to be queried, and querying target field information and target coding information associated with the target keyword from change information of a pre-constructed data dictionary.
And 240, acquiring a fuzzy query result of the target keyword from the actual stored data according to the target field information and the target coding information.
According to the technical scheme provided by the embodiment of the invention, the changed field information of the data dictionary is written into the changed information of the data dictionary, so that the original data is not influenced by the change of the data dictionary, the full refreshing of the data is not needed, and the method can be realized only by adding one line of data into the secondary query index of the data dictionary corresponding to the changed information of the data dictionary. In addition, after the field information of the data dictionary is changed, the fuzzy query result is subjected to the secondary fuzzy query in the change information of the data dictionary, and the query result can be changed along with the change of the data dictionary, so that the latest fuzzy query result can be obtained.
Example III
Fig. 3 is a schematic structural diagram of a fuzzy query device according to a third embodiment of the present invention. Referring to fig. 3, the apparatus may specifically include a change information query module 310 and a query result acquisition module 320.
The change information query module is used for responding to target keywords to be queried, and querying target field information and target coding information associated with the target keywords from change information of a pre-constructed data dictionary;
and the query result acquisition module is used for acquiring the fuzzy query result of the target keyword from the actual stored data according to the target field information and the target coding information. According to the embodiment of the invention, the target field information and the target coding information associated with the target keyword are queried from the change information of the pre-constructed data dictionary in response to the target keyword to be queried, and further the fuzzy query result of the target keyword is obtained from the actual storage data according to the target field information and the target coding information. The fuzzy search is carried out through the change information of the pre-constructed data dictionary, so that a two-level index fuzzy query method of the same general big data is provided, and the query efficiency of the change data in the data dictionary is improved.
Further, on the basis of the foregoing embodiment, the apparatus further includes:
the change information acquisition module is used for responding to the change operation of any field information in the data dictionary and acquiring new field information and new coding information associated with the new field information;
and the change information writing module is used for writing the new field information and the new coding information associated with the new field into the change information of the data dictionary.
Further, the change query module 310 is specifically configured to: and if the target keyword and the field information changed in any one of the data dictionaries belong to synonyms, taking the field information as target field information, and taking the coding information associated with the target field information as target coding information.
Optionally, the change information in the data dictionary includes at least one of the following:
the modified field information in the data dictionary and associated coding information, standard classification codes, standard classification names, english abbreviations of data items and version dates of the data dictionary.
The fuzzy query device provided by the embodiment of the invention can execute the fuzzy query method provided by any embodiment of the invention, has corresponding functional modules and beneficial effects of the execution method, and is not repeated.
Example IV
Fig. 4 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention. Fig. 4 shows a block diagram of an exemplary device 12 suitable for use in implementing embodiments of the present invention. The device 12 shown in fig. 4 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 4, device 12 is in the form of a general purpose computing device. Components of device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.
Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. Device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, commonly referred to as a "hard disk drive"). Although not shown in fig. 4, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.
Device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with device 12, and/or any devices (e.g., network card, modem, etc.) that enable device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Also, device 12 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, via network adapter 20. As shown, network adapter 20 communicates with other modules of device 12 over bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, implementing a fuzzy query method provided by an embodiment of the present invention.
Example five
The fifth embodiment of the present invention further provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements a fuzzy query method according to any one of the embodiments of the present invention. Wherein the method comprises the following steps: inquiring target field information and target coding information associated with target keywords from change information of a pre-constructed data dictionary in response to the target keywords to be inquired;
and acquiring a fuzzy query result of the target keyword from a data dictionary according to the target field information and the target coding information.
The computer storage media of embodiments of the invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.

Claims (8)

1. A method of fuzzy query, the method comprising:
inquiring target field information and target coding information associated with target keywords from change information of a pre-constructed data dictionary in response to the target keywords to be inquired; the change information of the data dictionary is used for storing changed field information and coded values corresponding to the field information in the data dictionary;
acquiring a fuzzy query result of the target keyword from an index of actual stored data according to the target field information and the target coding information;
wherein before the target field information and the target coding information associated with the target keyword are queried from the change information of the pre-constructed data dictionary, the method further comprises the following steps:
responding to the change operation of any field information in the data dictionary, and acquiring new field information and new coding information associated with the new field information;
and writing the new field information and the new coding information associated with the new field into the change information of the data dictionary.
2. The method according to claim 1, wherein the querying, in response to the target keyword to be queried, target field information and target coding information associated with the target keyword from change information of a pre-constructed data dictionary includes:
and if the target keyword and the field information changed in any one of the data dictionaries belong to synonyms, taking the field information as target field information, and taking the coding information associated with the target field information as target coding information.
3. The method of claim 1, wherein the change information in the data dictionary comprises at least one of:
the modified field information in the data dictionary and associated coding information, standard classification codes, standard classification names, english abbreviations of data items and version dates of the data dictionary.
4. A fuzzy query device, the device comprising:
the change information query module is used for responding to target keywords to be queried, and querying target field information and target coding information associated with the target keywords from change information of a pre-constructed data dictionary; the change information of the data dictionary is used for storing changed field information and coded values corresponding to the field information in the data dictionary;
the query result acquisition module is used for acquiring a fuzzy query result of the target keyword from the actual stored data according to the target field information and the target coding information;
the change information acquisition module is used for responding to the change operation of any field information in the data dictionary and acquiring new field information and new coding information associated with the new field information;
and the change information writing module is used for writing the new field information and the new coding information associated with the new field into the change information of the data dictionary.
5. The apparatus of claim 4, wherein the change query module is specifically configured to:
and if the target keyword and the field information changed in any one of the data dictionaries belong to synonyms, taking the field information as target field information, and taking the coding information associated with the target field information as target coding information.
6. The apparatus of claim 4, wherein the change information in the data dictionary comprises at least one of:
the modified field information in the data dictionary and associated coding information, standard classification codes, standard classification names, english abbreviations of data items and version dates of the data dictionary.
7. An apparatus, the apparatus comprising:
one or more processors;
storage means for storing one or more programs,
when executed by the one or more processors, causes the one or more processors to implement a fuzzy query method as claimed in any one of claims 1 to 3.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when executed by a processor, implements a fuzzy query method as claimed in any one of claims 1-3.
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