CN112269807A - Configurable credit file retrieval method and system based on Elasticissearch technology - Google Patents
Configurable credit file retrieval method and system based on Elasticissearch technology Download PDFInfo
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Abstract
The invention discloses a configurable credit archive retrieval method and a system based on an elastic search technology, which belong to the field of data search, and aim to solve the technical problem that a traditional database cannot meet the requirement of accurately and quickly returning customer demand data on the premise of large data volume, and adopt the technical scheme that: the method utilizes the distributed mass data searching and analyzing technology of the elastic search, and enters a credit inquiry page through credit searching configuration and archive configuration according to the self requirements of a user, thereby realizing flexible configuration of a credit archive data directory and further improving the satisfaction degree of the user; the searching configuration is as follows: creating an index group; index management; maintaining variables; reconstructing an index; the file configuration is as follows: managing a file set; establishing a file directory tree by file management; and initializing the file template. The invention also discloses a configurable credit archive retrieval system based on the Elasticissearch technology.
Description
Technical Field
The invention relates to the field of data search, in particular to a configurable credit file retrieval method and a system based on an Elasticissearch technology.
Background
elastic search: compared with the traditional relational databases mysql, oracle and the like, the distributed extensible real-time search and analysis engine supports massive and PB-level big data search, can quickly and accurately position a credit subject by means of a unique scoring mechanism, and supports the expansion of hundreds of service nodes.
redis: the data storage method is a high-performance key-value library, runs based on a memory, supports a persistent Nosql database, is different from a traditional database in that data of Redis is stored in the memory, so that the storage and writing speed is very high, and the Redis is widely applied to a cache direction.
Data desensitization: aiming at a part of data with private information, such as an identity card, a mobile phone number, a mailbox and the like, a data desensitization rule can be set for a field in the file maintenance process, and then the protection of the private data can be realized.
With the comprehensive development of the data collection work of the public credit information platform, a target main body (a natural person or a legal person) needs to be quickly and accurately inquired in mass data, and multidimensional credit information associated with the main body is comprehensively displayed, so that a user can comprehensively master the credit condition of the main body. Because the credit information directory has too many branches, the file configuration tree of a general item is very huge, so that the query requirement on the database is high in the process of actually querying the credit file, and the speed of generating the file is limited to a certain extent under the condition of massive concurrence.
Disclosure of Invention
The invention provides a configurable credit file retrieval method and a configurable credit file retrieval system based on an elastic search technology, and aims to solve the problem that a traditional database cannot meet the requirement of accurately and quickly returning customer required data on the premise of large data volume.
The technical task of the invention is realized in the following way, and the configurable credit archive retrieval method based on the elastic search technology is characterized in that the method utilizes the distributed mass data searching and analyzing technology of the elastic search, and enters a credit inquiry page through credit searching configuration and archive configuration according to the self requirement of a user to realize flexible configuration of a credit archive data directory, thereby improving the satisfaction degree of the user.
Preferably, the hit configuration is specifically as follows:
creating an index group: creating an index group required by credit inquiry for distinguishing service scenes;
index management: creating legal person and natural person indexes under the index group, and associating the legal person and natural person indexes to a specific database table;
and (3) variable maintenance: fields in a database table are selected, fields related to query are maintained, and all the fields do not need to be extracted, so that the hard disk space of a server is saved;
reconstructing an index: the database table data is extracted into the elastic search engine for subsequent query and delete operations.
Preferably, the file configuration is as follows:
archive set management: establishing a file set and managing;
file management establishes a file directory tree: a user configures a file directory tree according to the requirement of the user or configures the file directory tree by referring to a national standard credit information directory;
initializing a file template: after the archive configuration is completed, one archive template initialization operation needs to be executed, and the archive template is stored in the redis in an XML form, so that the problem that a huge archive tree needs to be traversed in each archive query is avoided, the query efficiency can be effectively improved, and resources are saved.
Preferably, each leaf node of the file directory tree corresponds to a database table, and a user automatically filters non-social public (non-public) data through configuration data filtering SQL;
and after the file directory tree is established, file style configuration is carried out, specifically, sensitive data desensitization, user-defined hyperlink and user-defined page style are configured.
Preferably, after entering a credit inquiry page (credit searching), a keyword is input to search a credit subject, a searched result list enters a corresponding credit archive page by clicking a subject name, basic information and various service information of the subject are checked, and a credit report is downloaded; wherein the keywords include business names, unified social credit codes, and legal representatives.
A configurable credit file retrieval system based on the Elasticissearch technology, the system comprises,
the searching configuration unit is used for creating an index group, creating indexes of legal people and natural people under the index group and finishing reconstructing the indexes;
the file configuration unit is used for configuring files and executing file template initialization to realize flexible configuration of credit file data directories;
the searching unit is used for inputting keywords to search credit subjects after entering a credit inquiry page (credit searching), entering a corresponding credit archive page by clicking the name of the subject in a searched result list, checking the basic information and various service information of the subject and downloading a credit report of the basic information and various service information; wherein the keywords include business names, unified social credit codes, and legal representatives.
Preferably, the hit configuration unit includes,
the index group creating module is used for creating an index group required by credit inquiry and used for distinguishing service scenes;
the index management module is used for creating legal person and natural person indexes under the index group and associating the legal person and natural person indexes to a specific database table;
the variable maintenance module is used for checking fields in the database table and maintaining the fields related to the query, and all the fields are not required to be extracted, so that the hard disk space of the server is saved;
and the index reconstruction module is used for extracting the database table data into the elastic search engine so as to facilitate subsequent query and deletion operations.
Preferably, the file configuration unit includes,
the archive collection management module is used for establishing and managing an archive collection;
the file directory tree building module is used for configuring the file directory tree according to the requirement of a user or configuring the file directory tree by referring to a national standard credit information directory; each leaf node of the file directory tree corresponds to a database table, and a user automatically filters non-socially-disclosed (non-disclosed) data through configuration data filtering SQL;
the file style configuration module is used for configuring sensitive data desensitization, custom hyperlinks and custom page style;
the file template initialization module is used for executing file template initialization operation once after file configuration is completed, and the file template is stored in redis in an XML form, so that the problem that a huge file tree needs to be traversed during file query every time is avoided, the query efficiency can be effectively improved, and resources are saved.
An electronic device, comprising: a memory and at least one processor;
wherein the memory has stored thereon a computer program;
the at least one processor executes the memory-stored computer program such that the at least one processor executes the configurable credit profile retrieval method based on the Elasticsearch technique as described above.
A computer-readable storage medium having stored thereon a computer program executable by a processor to implement a configurable credit profile retrieval method based on the Elasticsearch technique as described above.
The configurable credit file retrieval method and the system based on the Elasticissearch technology have the following advantages:
the invention belongs to a link which is more basic and more important in credit construction work, and compared with the traditional relational database, the invention has the advantages that the query efficiency and the query precision can be effectively improved by utilizing the distributed mass data searching and analyzing technology of the elastic search, and in addition, a user can flexibly configure a credit archive data directory according to the self requirement, thereby improving the satisfaction degree of the client;
secondly, when the method is used for inquiring, an elastic search engine is used for inquiring, and the elastic search has higher timeliness and inquiry efficiency compared with solr which is realized on the basis of Lucene;
the invention supports flexible file catalog configuration, after the configuration is completed, the file is stored in the redis in the form of XML, and the template information is firstly obtained from the redis before the credit file is inquired each time, thereby avoiding redundant database inquiry, improving the file generation efficiency and saving resources;
and fourthly, the invention can carry out archive style configuration, and can adopt mask operation aiming at sensitive data, such as information of identity cards and the like, thereby avoiding the leakage of the sensitive data.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a flow chart of a configurable credit file retrieval method based on the Elasticissearch technology.
Detailed Description
The configurable credit file retrieval method and system based on the Elasticsearch technology of the present invention are described in detail below with reference to the drawings and the specific embodiments of the specification.
Example 1:
as shown in fig. 1, the configurable credit archive retrieval method based on the Elasticsearch technology of the present invention utilizes the distributed mass data search and analysis technology of Elasticsearch, and enters a credit inquiry page through credit searching configuration and archive configuration according to the needs of the user, so as to flexibly configure a credit archive data directory, thereby improving the satisfaction of the user.
The configuration is found in this embodiment as follows:
s101, creating an index group: creating an index group required by credit inquiry for distinguishing service scenes;
s102, index management: creating legal person and natural person indexes under the index group, and associating the legal person and natural person indexes to a specific database table;
s103, variable maintenance: fields in a database table are selected, fields related to query are maintained, and all the fields do not need to be extracted, so that the hard disk space of a server is saved;
s104, reconstructing the index: the database table data is extracted into the elastic search engine for subsequent query and delete operations.
The file configuration in this embodiment is as follows:
s201, archive set management: establishing a file set and managing;
s202, file directory tree establishment by file management: a user configures a file directory tree according to the requirement of the user or configures the file directory tree by referring to a national standard credit information directory; each leaf node of the file directory tree corresponds to a database table, and a user automatically filters non-socially-disclosed (non-disclosed) data through configuration data filtering SQL;
s203, file template initialization: after the archive configuration is completed, one archive template initialization operation needs to be executed, and the archive template is stored in the redis in an XML form, so that the problem that a huge archive tree needs to be traversed in each archive query is avoided, the query efficiency can be effectively improved, and resources are saved.
In this embodiment, after the file directory tree is established, file style configuration is performed, specifically, sensitive data desensitization, custom hyperlink, and custom page style are configured.
In this embodiment, after entering a credit inquiry page (credit hit), a keyword is input to search a credit subject, a searched result list enters a corresponding credit archive page by clicking a subject name, and basic information and various service information of the subject are checked and a credit report thereof is downloaded; wherein the keywords include business names, unified social credit codes, and legal representatives.
Example 2:
the configurable credit profile retrieval system based on the Elasticissearch technology comprises,
the searching configuration unit is used for creating an index group, creating indexes of legal people and natural people under the index group and finishing reconstructing the indexes; the searching configuration unit comprises a searching configuration unit,
the index group creating module is used for creating an index group required by credit inquiry and used for distinguishing service scenes;
the index management module is used for creating legal person and natural person indexes under the index group and associating the legal person and natural person indexes to a specific database table;
the variable maintenance module is used for checking fields in the database table and maintaining the fields related to the query, and all the fields are not required to be extracted, so that the hard disk space of the server is saved;
and the index reconstruction module is used for extracting the database table data into the elastic search engine so as to facilitate subsequent query and deletion operations.
The file configuration unit is used for configuring files and executing file template initialization to realize flexible configuration of credit file data directories; the file configuration unit includes a file configuration unit,
the archive collection management module is used for establishing and managing an archive collection;
the file directory tree building module is used for configuring the file directory tree according to the requirement of a user or configuring the file directory tree by referring to a national standard credit information directory; each leaf node of the file directory tree corresponds to a database table, and a user automatically filters non-socially-disclosed (non-disclosed) data through configuration data filtering SQL;
the file style configuration module is used for configuring sensitive data desensitization, custom hyperlinks and custom page style;
the file template initialization module is used for executing file template initialization operation once after file configuration is completed, and the file template is stored in redis in an XML form, so that the problem that a huge file tree needs to be traversed during file query every time is avoided, the query efficiency can be effectively improved, and resources are saved.
The searching unit is used for inputting keywords to search credit subjects after entering a credit inquiry page (credit searching), entering a corresponding credit archive page by clicking the name of the subject in a searched result list, checking the basic information and various service information of the subject and downloading a credit report of the basic information and various service information; wherein the keywords include business names, unified social credit codes, and legal representatives.
Example 3:
an embodiment of the present invention further provides an electronic device, including: a memory and at least one processor;
wherein the memory stores computer-executable instructions;
the at least one processor executes the computer-executable instructions stored by the memory, so that the at least one processor executes the configurable credit profile retrieval method based on the Elasticsearch technology in any embodiment of the invention.
Example 4:
the embodiment of the invention also provides a computer-readable storage medium, wherein a plurality of instructions are stored, and the instructions are loaded by a processor, so that the processor executes the configurable credit file retrieval method based on the Elasticsearch technology in any embodiment of the invention. Specifically, a system or an apparatus equipped with a storage medium on which software program codes that realize the functions of any of the above-described embodiments are stored may be provided, and a computer (or a CPU or MPU) of the system or the apparatus is caused to read out and execute the program codes stored in the storage medium.
In this case, the program code itself read from the storage medium can realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.
Examples of the storage medium for supplying the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (e.g., CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RYM, DVD-RW, DVD + RW), a magnetic tape, a nonvolatile memory card, and a ROM. Alternatively, the program code may be downloaded from a server computer via a communications network.
Further, it should be clear that the functions of any one of the above-described embodiments may be implemented not only by executing the program code read out by the computer, but also by causing an operating system or the like operating on the computer to perform a part or all of the actual operations based on instructions of the program code.
Further, it is to be understood that the program code read out from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion unit connected to the computer, and then causes a CPU or the like mounted on the expansion board or the expansion unit to perform part or all of the actual operations based on instructions of the program code, thereby realizing the functions of any of the above-described embodiments.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A configurable credit archive retrieval method based on an elastic search technology is characterized in that the method utilizes the distributed mass data search and analysis technology of the elastic search, and enters a credit inquiry page through credit searching configuration and archive configuration according to the self requirements of a user, so that a credit archive data directory is flexibly configured, and the satisfaction degree of the user is further improved.
2. The configurable credit profile retrieval method based on the Elasticsearch technology as claimed in claim 1, wherein the searching configuration is as follows:
creating an index group: creating an index group required by credit inquiry for distinguishing service scenes;
index management: creating legal person and natural person indexes under the index group, and associating the legal person and natural person indexes to a specific database table;
and (3) variable maintenance: checking fields in a database table, and maintaining the fields related to query;
reconstructing an index: the database table data is extracted into the elastic search engine.
3. The configurable credit profile retrieval method based on the Elasticsearch technology as claimed in claim 1, wherein the profile configuration is as follows:
archive set management: establishing a file set and managing;
file management establishes a file directory tree: a user configures a file directory tree according to the requirement of the user or configures the file directory tree by referring to a national standard credit information directory;
initializing a file template: after the configuration of the file is completed, a file template initialization operation needs to be executed once, and the file template is stored in the redis in an XML form.
4. The configurable credit archive retrieval method based on the Elasticissearch technology as claimed in claim 1, wherein each leaf node of the archive directory tree corresponds to a database table, and the user filters the non-social public data by itself through the configuration data filtering SQL;
and after the file directory tree is established, file style configuration is carried out, specifically, sensitive data desensitization, user-defined hyperlink and user-defined page style are configured.
5. The configurable credit profile retrieval method based on the Elasticsearch technology as claimed in any of claims 1-4, wherein after entering the credit inquiry page, a keyword is input to search the credit subject, the searched result list enters the corresponding credit profile page by clicking the name of the subject, the basic information and various service information of the subject are checked, and the credit report is downloaded; wherein the keywords include business names, unified social credit codes, and legal representatives.
6. A configurable credit file retrieval system based on the Elasticissearch technology is characterized in that the system comprises,
the searching configuration unit is used for creating an index group, creating indexes of legal people and natural people under the index group and finishing reconstructing the indexes;
the file configuration unit is used for configuring files and executing file template initialization to realize flexible configuration of credit file data directories;
the searching unit is used for inputting keywords to search credit subjects after entering a credit inquiry page, entering a corresponding credit archive page by clicking the name of the subject in a searched result list, checking the basic information and various service information of the subject and downloading a credit report of the basic information and various service information; wherein the keywords include business names, unified social credit codes, and legal representatives.
7. The configurable credit profile retrieval system based on the Elasticsearch technique of claim 6, wherein the searching configuration unit comprises,
the index group creating module is used for creating an index group required by credit inquiry and used for distinguishing service scenes;
the index management module is used for creating legal person and natural person indexes under the index group and associating the legal person and natural person indexes to a specific database table;
the variable maintenance module is used for checking fields in the database table and maintaining the fields related to the query;
and the index reconstruction module is used for extracting the database table data into the elastic search engine.
8. The configurable credit profile retrieval system based on the Elasticsearch technique of claim 6 or 7, wherein the profile configuration unit comprises,
the archive collection management module is used for establishing and managing an archive collection;
the file directory tree building module is used for configuring the file directory tree according to the requirement of a user or configuring the file directory tree by referring to a national standard credit information directory; each leaf node of the file directory tree corresponds to a database table, and a user automatically filters non-socially-disclosed data through configuration data filtering SQL;
the file style configuration module is used for configuring sensitive data desensitization, custom hyperlinks and custom page style;
and the file template initialization module is used for executing one file template initialization operation after the file configuration is finished, and storing the file template into the redis in an XML form.
9. An electronic device, comprising: a memory and at least one processor;
wherein the memory has stored thereon a computer program;
the at least one processor executing the memory-stored computer program causes the at least one processor to execute the configurable credit profile retrieval method based on the Elasticsearch technique of any of claims 1 to 5.
10. A computer-readable storage medium, in which a computer program is stored, the computer program being executable by a processor to implement the configurable credit profile retrieval method based on the Elasticsearch technique as claimed in claims 1 to 5.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112965992A (en) * | 2021-03-22 | 2021-06-15 | 三门核电有限公司 | Multi-parameter constraint data retrieval man-machine interaction method and device |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105302810A (en) * | 2014-06-12 | 2016-02-03 | 北京搜狗科技发展有限公司 | Information search method and apparatus |
CN106095964A (en) * | 2016-06-17 | 2016-11-09 | 浪潮软件股份有限公司 | A kind of method that data are carried out visualization filing and search |
CN109376121A (en) * | 2018-08-10 | 2019-02-22 | 南京华讯方舟通信设备有限公司 | A kind of document indexing system and method based on ElasticSearch full-text search |
CN109492148A (en) * | 2018-11-22 | 2019-03-19 | 北京明朝万达科技股份有限公司 | ElasticSearch paging query method and apparatus based on Redis |
CN109509516A (en) * | 2018-07-26 | 2019-03-22 | 深圳还是威健康科技有限公司 | A kind of Profile management method based on block chain |
CN110378538A (en) * | 2019-07-26 | 2019-10-25 | 浪潮软件股份有限公司 | A kind of method and system of combination joint rewards and punishments optimization examination & approval environment |
CN110543517A (en) * | 2019-08-26 | 2019-12-06 | 汉纳森(厦门)数据股份有限公司 | Method, device and medium for realizing complex query of mass data based on elastic search |
CN110795494A (en) * | 2018-07-17 | 2020-02-14 | 北京京东尚科信息技术有限公司 | Automatic testing method and device for synchronous and asynchronous cache data |
CN111694866A (en) * | 2020-06-09 | 2020-09-22 | 南京领行科技股份有限公司 | Data searching and storing method, data searching system, data searching device, data searching equipment and data searching medium |
-
2020
- 2020-11-09 CN CN202011235317.5A patent/CN112269807A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105302810A (en) * | 2014-06-12 | 2016-02-03 | 北京搜狗科技发展有限公司 | Information search method and apparatus |
CN106095964A (en) * | 2016-06-17 | 2016-11-09 | 浪潮软件股份有限公司 | A kind of method that data are carried out visualization filing and search |
CN110795494A (en) * | 2018-07-17 | 2020-02-14 | 北京京东尚科信息技术有限公司 | Automatic testing method and device for synchronous and asynchronous cache data |
CN109509516A (en) * | 2018-07-26 | 2019-03-22 | 深圳还是威健康科技有限公司 | A kind of Profile management method based on block chain |
CN109376121A (en) * | 2018-08-10 | 2019-02-22 | 南京华讯方舟通信设备有限公司 | A kind of document indexing system and method based on ElasticSearch full-text search |
CN109492148A (en) * | 2018-11-22 | 2019-03-19 | 北京明朝万达科技股份有限公司 | ElasticSearch paging query method and apparatus based on Redis |
CN110378538A (en) * | 2019-07-26 | 2019-10-25 | 浪潮软件股份有限公司 | A kind of method and system of combination joint rewards and punishments optimization examination & approval environment |
CN110543517A (en) * | 2019-08-26 | 2019-12-06 | 汉纳森(厦门)数据股份有限公司 | Method, device and medium for realizing complex query of mass data based on elastic search |
CN111694866A (en) * | 2020-06-09 | 2020-09-22 | 南京领行科技股份有限公司 | Data searching and storing method, data searching system, data searching device, data searching equipment and data searching medium |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112965992A (en) * | 2021-03-22 | 2021-06-15 | 三门核电有限公司 | Multi-parameter constraint data retrieval man-machine interaction method and device |
CN112965992B (en) * | 2021-03-22 | 2023-08-15 | 三门核电有限公司 | Multi-parameter constraint data retrieval man-machine interaction method and device |
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