CN110580255A - method and system for storing and retrieving data - Google Patents
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- CN110580255A CN110580255A CN201810585342.2A CN201810585342A CN110580255A CN 110580255 A CN110580255 A CN 110580255A CN 201810585342 A CN201810585342 A CN 201810585342A CN 110580255 A CN110580255 A CN 110580255A
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- 238000000034 method Methods 0.000 title claims abstract description 46
- 230000002776 aggregation Effects 0.000 claims abstract description 60
- 238000004220 aggregation Methods 0.000 claims abstract description 60
- 238000012545 processing Methods 0.000 claims abstract description 16
- 238000013500 data storage Methods 0.000 claims abstract description 12
- 238000007726 management method Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 9
- 238000012163 sequencing technique Methods 0.000 claims description 9
- 238000006116 polymerization reaction Methods 0.000 claims description 8
- 238000013507 mapping Methods 0.000 claims description 5
- 230000009467 reduction Effects 0.000 claims description 4
- 210000001503 joint Anatomy 0.000 claims description 3
- 230000008901 benefit Effects 0.000 abstract description 6
- 238000013479 data entry Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Abstract
The invention discloses a method and a system for storing and retrieving data, wherein the method comprises the following steps: a data storage step: storing data to be stored into a relational database or/and a non-relational database according to data types; and a data synchronization step: calling data of the non-relational database at regular time to carry out aggregation processing to obtain an aggregation result, and synchronizing the aggregation result to a search engine; and (3) retrieval step: and the search engine carries out retrieval based on the aggregation result according to the keywords input by the user and presents the retrieval result to the user. The invention can realize the rapid search of the unstructured texts of any words or word groups, has high storage efficiency and retrieval efficiency, preferably can provide the checking details, and ensures the advantages of structured data by inquiring the relational database.
Description
Technical Field
The present invention relates to the field of internet, and in particular, to a method and system for storing and retrieving data.
background
Many current systems require the ability to store and retrieve data. If a relational database is adopted to store and retrieve data, the unstructured text of any word or word group which exists in large quantity is searched rapidly and difficultly; if the non-relational database is used for storage and retrieval, the retrieval efficiency is low when the data volume is large, and the high-efficiency requirement of people on the retrieval cannot be met.
disclosure of Invention
the present invention is directed to a method and system for storing and retrieving data, which overcome the above-mentioned shortcomings in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: a method of storing and retrieving data is constructed, the method comprising:
A data storage step: storing data to be stored into a relational database or/and a non-relational database according to data types;
And a data synchronization step: calling data of the non-relational database at regular time to carry out aggregation processing to obtain an aggregation result, and synchronizing the aggregation result to a search engine;
And (3) retrieval step: and the search engine carries out retrieval based on the aggregation result according to the keywords input by the user and presents the retrieval result to the user.
In the method for storing and retrieving data according to the present invention, the storing the data to be stored in the relational database or/and the non-relational database according to the data type includes:
Storing the non-relational data to be stored into a non-relational database;
storing the relational data to be stored into a relational database, and storing field data in the relational data, which conforms to preset common retrieval data, into a non-relational database.
in the method for storing and retrieving data, the relational data to be stored come from data input by a user acquired from a WEB input page; the non-relational data to be stored come from field data which is in accordance with preset common retrieval data in the relational data to be stored, and data generated by certain modules in the management platform.
In the method for storing and retrieving data according to the present invention, the non-relational database is Mongodb, and the data synchronization step specifically includes:
The data stored in the Mongodb are subjected to polymerization processing by calling a mapping reduction method of the Mongodb regularly to obtain a polymerization result;
And synchronizing the aggregation result to a search engine by a data synchronization tool of Mongodb.
in the method for storing and retrieving data according to the present invention, the retrieving step specifically includes:
a search engine acquires keywords input by a user and uploaded on a WEB retrieval page;
the search engine retrieves based on the aggregation result according to the keywords;
And sequencing the retrieval results according to a preset sequencing rule, presenting the sequencing results to a user, and providing an interface of a relational database related to the retrieval results for the user to check details.
in the method for storing and retrieving data according to the present invention, the search engine is an elastic search, the non-relational database is Mongodb, and the relational database is MySql or Oracle.
the invention also discloses a system for storing and retrieving data, which comprises:
The data storage unit is used for storing the data to be stored into a relational database or/and a non-relational database according to the data types;
the data synchronization unit is used for calling the data of the non-relational database at regular time to carry out aggregation processing to obtain an aggregation result and synchronizing the aggregation result to the search engine;
And the retrieval unit is used for retrieving based on the aggregation result according to the keywords input by the user through the search engine and presenting the retrieval result to the user.
In the system for storing and retrieving data according to the present invention, the data storage unit includes:
the data acquisition unit is used for being in butt joint with the WEB entry page so as to acquire the user-entered data acquired by the WEB entry page; and for interfacing with certain modules in the management platform to obtain data generated by the certain modules;
the relational database recording unit is used for storing the relational data acquired by the data acquisition unit into a relational database;
And the non-relational database entry unit is used for storing the non-relational data acquired by the data acquisition unit into the non-relational database and storing field data which are in accordance with preset common retrieval data in the relational data acquired by the data acquisition unit into the non-relational database.
In the system for storing and retrieving data of the present invention, the search engine is an elastic search, the non-relational database is Mongodb, and the relational database is MySql or Oracle;
the data synchronization unit is specifically used for calling a mapping reduction method of the Mongodb at regular time to perform aggregation processing on the data stored in the Mongodb to obtain an aggregation result, and synchronizing the aggregation result to a search engine by a data synchronization tool of the Mongodb;
The retrieval unit is specifically used for acquiring keywords input by a user and uploaded on a WEB retrieval page through a search engine, retrieving based on the aggregation result according to the keywords, sequencing the retrieval result according to a preset sequencing rule and presenting the sequencing result to the user, and providing an interface of a relational database related to the retrieval result for the user to check details.
the invention also discloses a system for storing and retrieving data, comprising a memory and a processor, wherein the memory stores a computer program, and the processor can run the computer program to execute the method.
the method and the system for storing and retrieving data have the following beneficial effects: the invention stores the data to be stored into the relational database or/and the non-relational database according to the data type, regularly calls the data of the non-relational database to carry out aggregation processing to obtain an aggregation result, synchronizes the aggregation result to a search engine, carries out retrieval based on the aggregation result during retrieval, presents the retrieval result to a user, and provides an interface of the relational database related to the retrieval result for the user to check details. Therefore, the method can realize the rapid search of the unstructured texts of any words or word groups in a large quantity, and has high storage efficiency and retrieval efficiency; preferably, the method can also provide viewing details, and the advantage of the structured data is ensured by querying the relational database.
drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative effort:
FIG. 1 is a flow chart of a method for storing and retrieving data according to an embodiment.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Exemplary embodiments of the invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
the general idea of the invention is as follows: a method and system for storing and retrieving data is constructed, the method comprising:
a data storage step: storing data to be stored into a relational database or/and a non-relational database according to data types;
and a data synchronization step: calling data of the non-relational database at regular time to carry out aggregation processing to obtain an aggregation result, and synchronizing the aggregation result to a search engine;
And (3) retrieval step: and the search engine carries out retrieval based on the aggregation result according to the keywords input by the user and presents the retrieval result to the user.
The three steps are executed independently, and there is no precedence dependency relationship, for example, the data synchronization step is executed regardless of whether the data synchronization step is executed.
in order to better understand the technical solutions, the technical solutions will be described in detail below with reference to the drawings of the specification and specific embodiments, and it should be understood that the specific features of the embodiments and examples of the present invention are detailed descriptions of the technical solutions of the present application, and are not limitations of the technical solutions of the present application, and the technical features of the embodiments and examples of the present invention may be combined with each other without conflict.
example one
Referring to fig. 1, the present embodiment discloses a method for storing and retrieving data, which is applied to a management platform and used for providing a data retrieval function of the management platform, and the method mainly includes:
data storage step S100: and storing the data to be stored into a relational database or/and a non-relational database according to the data type.
data synchronization step S200: calling data of the non-relational database at regular time to carry out aggregation processing to obtain an aggregation result, and synchronizing the aggregation result to a search engine;
A search step S300: and the search engine carries out retrieval based on the aggregation result according to the keywords input by the user and presents the retrieval result to the user. Preferably, an interface to a relational database associated with the search results may also be provided for the user to view the details.
in this embodiment, the search engine is an elastic search. The non-relational database is Mongodb. The relational database is MySql, which can be Oracle. The management platform applied in the embodiment belongs to a knowledge base management platform, which is used for inputting, retrieving and downloading various document data.
in this embodiment, the data to be stored in the data storage step S100 comes from two channels, the first channel is the data entered by the user and acquired from the WEB entry page, and the data acquired by this channel is relational data; the second channel is data generated by some modules in the management platform, and the data acquired by the second channel is non-relational data.
in this embodiment, the non-relational data to be stored is stored in the non-relational database; the relational data to be stored is stored in a relational database, and field data (generally, unstructured text data such as words or word groups) in the relational data, which conforms to preset common retrieval data, is also stored in a non-relational database. Therefore, the searching efficiency of the relational data can be greatly improved during subsequent searching.
Wherein, the preset common retrieval data can be set as required.
In this embodiment, the data synchronization step S200 specifically includes: the method for mapping and reducing Mongodb is called regularly to conduct polymerization processing on data stored in Mongodb to obtain a polymerization result; the polymerization results were synchronized to the ElasticSearch by the data synchronization tool mongo-connector-master of Mongdb. Before aggregation, an aggregation strategy needs to be set, such as counting the occurrence times of sensitive words such as 'discount'.
in this embodiment, the data synchronization step S300 specifically includes: acquiring keywords input by a user and uploaded on a WEB retrieval page by an elastic search; performing retrieval by the ElasticSearch according to the keyword based on the aggregation result; the search results are sorted according to a preset sorting rule (for example, sorted according to the total occurrence times of keywords contained in the search results from high to low, or sorted according to the occurrence times within a recent period from high to low, and the like), and are presented to the user, and an interface of a relational database related to the search results is provided for the user to view details, for example, a link of the relational database is provided for the user to click in.
In a specific embodiment, data entry and retrieval are realized by developing through Java, the data entry is carried out by a WEB entry page developed by WEB engineering, and data are written into MongoDB and MySql through Java in the Web. The data retrieval is carried out by adopting a WEB retrieval page developed by WEB engineering, and the data retrieval is carried out in the Web through Java operation ElasticSearch.
According to the embodiment, the advantages of MongoDB and elastic search are combined, the full-text retrieval function integrating efficient storage and efficient retrieval can be realized, meanwhile, the Mysql database is inquired for checking details, and the advantages of structured data are guaranteed.
Example two
Based on the same inventive concept, the embodiment discloses a system for storing and retrieving data, which comprises:
The data storage unit is used for storing the data to be stored into a relational database or/and a non-relational database according to the data types;
The data synchronization unit is used for calling the data of the non-relational database at regular time to carry out aggregation processing to obtain an aggregation result and synchronizing the aggregation result to the search engine;
And the retrieval unit is used for retrieving based on the aggregation result according to the keywords input by the user through a search engine, presenting the retrieval result to the user, and providing an interface of a relational database related to the retrieval result for the user to check details.
specifically, the data storage unit includes:
The data acquisition unit is used for being in butt joint with the WEB entry page so as to acquire the user-entered data acquired by the WEB entry page; and the system is used for interfacing with certain modules in a management platform applied by the system to acquire data generated by the certain modules;
the relational database recording unit is used for storing the relational data acquired by the data acquisition unit into a relational database;
And the non-relational database entry unit is used for storing the non-relational data acquired by the data acquisition unit into the non-relational database and storing field data which are in accordance with preset common retrieval data in the relational data acquired by the data acquisition unit into the non-relational database.
Specifically, the data synchronization unit is specifically configured to call a MapReduce method MapReduce of the monteadb at regular time to perform aggregation processing on data stored in the monteadb to obtain an aggregation result; the polymerization results were synchronized to the ElasticSearch by the data synchronization tool mongo-connector-master of Mongodb. Before aggregation, an aggregation strategy needs to be set, such as counting the occurrence times of sensitive words such as 'discount'.
specifically, the retrieval unit is specifically configured to acquire a keyword input by a user from a WEB retrieval page through an elastic search, perform retrieval based on the aggregation result according to the keyword, sort and present the retrieval result to the user according to a preset sorting rule, and provide an interface of a relational database related to the retrieval result for the user to view details.
For other details, reference may be made to the first embodiment, which is not described herein again.
EXAMPLE III
Based on the same inventive concept, the present embodiment discloses a system for storing and retrieving data, which includes a memory and a processor, wherein the memory stores a computer program, and the processor can run the computer program to execute the method of the first embodiment.
In summary, the method and system for storing and retrieving data of the present invention have the following advantages: the invention stores the data to be stored into the relational database or/and the non-relational database according to the data type, regularly calls the data of the non-relational database to carry out aggregation processing to obtain an aggregation result, synchronizes the aggregation result to a search engine, carries out retrieval based on the aggregation result during retrieval, presents the retrieval result to a user, and provides an interface of the relational database related to the retrieval result for the user to check details. Therefore, the method can realize the rapid search of the unstructured texts of any words or word groups in a large quantity, and has high storage efficiency and retrieval efficiency; preferably, the method can also provide viewing details, and the advantages of the structured data are ensured by querying the relational database.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read Only Memory (ROM), a Random Access Memory (RAM), or the like.
as will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above description refers to various units, and it should be noted that the above description of various units is divided into these units for clarity of illustration. However, in actual implementation, the boundaries of the various elements may be fuzzy. For example, any or all of the functional units herein may share various hardware and/or software elements. Also for example, any and/or all of the functional units herein may be implemented in whole or in part by a common processor executing software instructions. Accordingly, the scope of the present invention is not limited by the mandatory boundaries between the various hardware and/or software elements, unless explicitly claimed otherwise.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A method of storing and retrieving data, the method comprising:
a data storage step: storing data to be stored into a relational database or/and a non-relational database according to data types;
And a data synchronization step: calling data of the non-relational database at regular time to carry out aggregation processing to obtain an aggregation result, and synchronizing the aggregation result to a search engine;
and (3) retrieval step: and the search engine carries out retrieval based on the aggregation result according to the keywords input by the user and presents the retrieval result to the user.
2. the method for storing and retrieving data as claimed in claim 1, wherein the storing the data to be stored in the relational database or/and the non-relational database according to the data type comprises:
Storing the non-relational data to be stored into a non-relational database;
Storing relational data to be stored into a relational database, and storing field data in the relational data, which accord with preset common retrieval data, into a non-relational database.
3. The method for storing and retrieving data as claimed in claim 1, wherein the method is applied to a management platform, wherein: the relational data to be stored come from user-entered data acquired from a WEB entry page; the non-relational data to be stored come from field data which is in accordance with preset common retrieval data in the relational data to be stored and data generated by certain modules in the management platform.
4. The method for storing and retrieving data as claimed in claim 1, wherein said non-relational database is Mongodb, and said data synchronization step specifically comprises:
the data stored in the Mongodb are subjected to polymerization processing by calling a mapping reduction method of the Mongodb regularly to obtain a polymerization result;
and synchronizing the aggregation result to a search engine by a data synchronization tool of Mongodb.
5. The method for storing and retrieving data as claimed in claim 1, wherein said retrieving step specifically comprises:
A search engine acquires keywords input by a user and uploaded on a WEB retrieval page;
The search engine retrieves based on the aggregation result according to the keywords;
The search engine sorts the retrieval results according to a preset sorting rule and presents the retrieval results to the user, and an interface of a relational database related to the retrieval results is provided for the user to check details.
6. the method of storing and retrieving data as claimed in claim 1, wherein the search engine is an elastic search, the non-relational database is Mongodb, and the relational database is MySql or Oracle.
7. a system for storing and retrieving data, comprising:
The data storage unit is used for storing the data to be stored into a relational database or/and a non-relational database according to the data types;
The data synchronization unit is used for calling the data of the non-relational database at regular time to carry out aggregation processing to obtain an aggregation result and synchronizing the aggregation result to the search engine;
and the retrieval unit is used for retrieving based on the aggregation result according to the keywords input by the user through the search engine and presenting the retrieval result to the user.
8. The system for storing and retrieving data as claimed in claim 7, wherein the system is applied to a management platform, and the data storage unit comprises:
The data acquisition unit is used for being in butt joint with the WEB entry page so as to acquire the user-entered data acquired by the WEB entry page; and for interfacing with certain modules in the management platform to obtain data generated by the certain modules;
The relational database recording unit is used for storing the relational data acquired by the data acquisition unit into a relational database;
and the non-relational database entry unit is used for storing the non-relational data acquired by the data acquisition unit into the non-relational database and storing field data which accord with preset common retrieval data in the relational data acquired by the data acquisition unit into the non-relational database.
9. the system for storing and retrieving data as claimed in claim 7, wherein the search engine is an elastic search, the non-relational database is Mongodb, and the relational database is MySql or Oracle;
the data synchronization unit is specifically used for calling a mapping reduction method of the Mongodb at regular time to perform aggregation processing on the data stored in the Mongodb to obtain an aggregation result, and synchronizing the aggregation result to a search engine by a data synchronization tool of the Mongodb;
the retrieval unit is specifically used for acquiring keywords input by a user and uploaded on a WEB retrieval page through a search engine, retrieving based on the aggregation result according to the keywords, sequencing the retrieval result according to a preset sequencing rule and presenting the sequencing result to the user, and providing an interface of a relational database related to the retrieval result for the user to check details.
10. A system for storing and retrieving data, comprising a memory having stored therein a computer program and a processor operable to execute the computer program to perform the method of any one of claims 1 to 5.
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| CN201810585342.2A CN110580255A (en) | 2018-06-08 | 2018-06-08 | method and system for storing and retrieving data |
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Application publication date: 20191217 |