CN107169103A - A kind of universal architecture data store query method and system - Google Patents
A kind of universal architecture data store query method and system Download PDFInfo
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- CN107169103A CN107169103A CN201710345874.4A CN201710345874A CN107169103A CN 107169103 A CN107169103 A CN 107169103A CN 201710345874 A CN201710345874 A CN 201710345874A CN 107169103 A CN107169103 A CN 107169103A
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F16/2455—Query execution
- G06F16/24552—Database cache management
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F16/242—Query formulation
- G06F16/2423—Interactive query statement specification based on a database schema
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
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Abstract
A kind of storage querying method of universal architecture data, comprises the following steps：The corresponding relation of configuration service title and the Business Name and service attribute；Configuration service attribute, specifically includes service attribute type, facilitates the maintenance of data；The rule searching of service attribute, facilitates the inquiry of business datum；Configuration service data, according to the service attribute of correspondence configuration, data are stored with JSON forms, and non-structured data are switched to the structural data of energy analytic uniform storage with this；Configuration querying is indexed, and according to the service attribute rule searching of configuration, the JSON formatted datas to storage carry out analyzing and processing foundation index；According to the analysis to inquiry request, the rule searching of corresponding service attribute is extracted, querying method is constructed according to the rule searching extracted, data are inquired about with this；Query Result is returned into client.
Description
Technical field
The present invention relates to the online website making system based on SAAS patterns, be related specifically to it is a variety of in the case of data
Definition, storage and data query search, for meet the customer demand under multiple business scene have very strong support and
Help.
Background technology
Medium-sized and small enterprises of current China have had several ten million, account for more than the 99% of national enterprise's sum, medium-sized and small enterprises
The final products of creation and the value of service accounted for nearly 6 one-tenth of GDP there is provided cities and towns job accounted for 75%,
Have become the economic sector that China is current and future is most active.These medium-sized and small enterprises are substantially all and can set up on the net
Promote oneself products ＆ services website, enterprise all can some personalized business need processing, this relates to various data
Storage and inquiry, but these data may no general character can say, if for every family individuation data with specific real
Volume data is stored, then can expend many development and maintenance costs, if a kind of technology can save these maintenances
And development cost, that for the service provider of online service of building a station is provided based on SAAS patterns to having enormous benefits.
System of building a station online both at home and abroad widely used SaaS (Software-as-a-Service, software operation)
Operation way, the system can provide individuation data for all internet information providers and provide storage and inquiry service,
Now it is applied to software-neck based on SaaS that Nanjing focus Ling Dong cloud computing technologies Co., Ltd develops and moves cloud marketing to build a station management
System (lower referred to as to lead dynamic system).The dynamic system of neck is to make release management platform online using the enterprise web site of SaaS patterns, is collected
The subfunctions such as website making, the management of product, abstract generation, keyword management, Quest Central For Databases are.It is intended that Chinese trade
Enterprise provides the easily service plan such as website making issue and back-stage management, helps enterprise to improve efficiency of operation, promotes industry
Business development.Because client has individual demand, such as authorization code inquiry, after sale address lookup etc. to the website of oneself, these
Content does not have the general place that can be refined in definition, because being online system of building a station, and is also impossible to determine for client in advance
The good this kind of management system of justice, this just promotes us to develop a kind of technology, facilitates client to remove definition data structure, edits data, looks into
Ask data.
The content of the invention
The invention aims to provide a kind of convenience, effectively and save the data processing side of development and maintenance cost
Formula, its basic conception is that the data produced by individual demand are uniformly processed into storage and searched for, every kind of to be directed to before replacing
The independent development process data storage of individual demand and the repeated development of search.
In order to solve the above technical problems, technical scheme：
A kind of storage querying method of universal architecture data, it is characterized in that comprising the following steps：
The corresponding relation of configuration service title and the Business Name and service attribute；
Configuration service attribute, specifically includes service attribute type, facilitates the maintenance of data；The rule searching of service attribute,
Facilitate the inquiry of business datum；
Configuration service data, according to the service attribute of correspondence configuration, data are stored with JSON forms, will with this
Non-structured data switch to the structural data of energy analytic uniform storage；
Configuration querying is indexed, and according to the service attribute rule searching of configuration, the JSON formatted datas to storage are analyzed
Index is set up in processing；
According to the analysis to inquiry request, the rule searching of corresponding service attribute is extracted, is advised according to the inquiry extracted
Querying method is then constructed, data are inquired about with this；Query Result is returned into client.
In the method for the invention, the address of the entitled configuration different business scene of configuration service.
In the method for the invention, the service inquiry rule is the corresponding granularity of query of different business attribute.
In the method for the invention, the JSON (JavaScript Object Notation, JS object tag) is
A kind of data interchange format of lightweight.Its a subset based on ECMAScript specifications, using being totally independent of programming language
The text formatting of speech stores and represented data.
In the method for the invention, in addition to：It is adapted to the storage of different pieces of information Source Type.
In the method for the invention, in addition to：Query display quantity and query caching are set；When inquiry data result
Quantity reaches display number, the result inquired is returned into client, and this querying condition and Query Result are carried out
Caching；And when same inquiry next time direct returning result.
The present invention also provides a kind of storage inquiry system of universal architecture data, including：
Business configuration unit, for configuration service title and the corresponding relation of the Business Name and service attribute.Match somebody with somebody
Service attribute is put, service attribute type is specifically included, facilitates the maintenance of data.The rule searching of service attribute, facilitates data
Inquiry；
Business datum memory cell, according to the service attribute of correspondence configuration, data is stored in JSON forms, with this
By non-structured data switch to can analytic uniform storage structural data, be stored in multiple data sources while can be adapted to；
Search index sets up unit, and according to the service attribute rule searching of configuration, the JSON data to storage are analyzed
Index is set up in processing, and what is indexed here creates a mechanism, and uses third party's instrument Lucene (and its Related product)；
Enquiring component is set, and for building a station, system queries business specifically shows form on webpage, component selection tool
The Business Name of body, so that this inquiry and the business set up direct contact, shows specific Query Result.
Query unit, according to the analysis to inquiry request, extracts the rule searching of corresponding service attribute, according to extracting
Rule searching construction querying method, data are inquired about with this, Query Result is returned into client.
In system of the present invention, the address of the entitled configuration different business scene of configuration service.
In system of the present invention, the service inquiry rule is the corresponding granularity of query of different business attribute.
In system of the present invention, the JSON (JavaScript Object Notation, JS object tag) is
A kind of data interchange format of lightweight.Its a subset based on ECMAScript specifications, using being totally independent of programming language
The text formatting of speech stores and represented data.
In system of the present invention, the component is the general designation of the unit module of composition page structure.
Also include：Query display quantity and query caching are set；Display number is reached when inquiring about data result quantity, will
The result inquired returns to client, and this querying condition and Query Result are cached；And it is same next time
Direct returning result when inquiry.
In system of the present invention, in addition to：It is adapted to the storage of different pieces of information Source Type.
In system of the present invention, in addition to：Query display quantity and query caching are set；When inquiry data result
Quantity reaches display number, the result inquired is returned into client, and this querying condition and Query Result are carried out
Caching；And when same inquiry next time direct returning result.
The present invention compared to the prior art, beneficial effect：Fast adaptation is built a station the demand of system queries business, greatly full
Foot client's needs, facilitate the development of client's own service；Efficiency of the system provider in terms of business development of building a station is improved,
Unnecessary development expenditure is reduced, economic benefit is brought.
Brief description of the drawings
Fig. 1 is the universal architecture data store query system architecture schematic diagram of the embodiment of the present invention；
Fig. 2 is the inquiry workflow diagram of the universal architecture data store query system of the embodiment of the present invention；
Fig. 3 is the inquiry business analysis process figure of the universal architecture data store query system of the embodiment of the present invention；
Fig. 4 is the query processing flow chart of the universal architecture data store query system of the embodiment of the present invention.
Specific embodiment
The present invention is described in further detail below by embodiment combination accompanying drawing.
The universal architecture data store query method of the embodiment of the present invention, it mainly includes：
The corresponding relation of configuration service title and the Business Name and service attribute；
Configuration service attribute, specifically includes service attribute type, facilitates the maintenance of data.The rule searching of service attribute,
Facilitate the inquiry of data；
Configuration service data, according to the service attribute of correspondence configuration, data are stored in JSON forms, will be non-with this
The data of structuring switch to can analytic uniform storage structural data；
Configuration querying is indexed, and according to the service attribute rule searching of configuration, the JSON data to storage are analyzed and processed
Set up index；
According to the analysis to inquiry request, the rule searching of corresponding service attribute is extracted, is advised according to the inquiry extracted
Querying method is then constructed, data are inquired about with this, Query Result is returned into client.
Wherein, service attribute, such as including city, address, phone, member's rank, member's type etc., service attribute
Type is mainly the form of data inputting, including (the text field, radio button, drop-down list, multiselect button, big text word
Section), the data item for radio button, drop-down list, multiselect button can set multiple, facilitate the typing of data.Business belongs to
Property in the JSON structures that preserve of radio button, drop-down list and multiselect type of button data item therein may be referred to it is as follows：
The rule searching of service attribute is divided into two kinds of situations, and one kind is, directly as screening conditions mode, can to make here
Can only be for the service attribute type of screening conditions：Radio button, drop-down list and multiselect button, this data structure is the most
Simple type, user directly can just accomplish the injection of data screening condition by selection.Another is to participate in way of search,
Program towards rear end is handled, and can only be the text field and Appendchunk type.
Business datum, is after being set according to service attribute, to be constructed by selecting and inputting, its basic JSON knot stored
Structure is as follows：
Wherein such as 15_2 is this be full key that numeral and underscore are constituted represent be radio button, drop-down list and
Numeral before multiselect button, underscore can identify specific service attribute.What key with trans prefixes was represented is
Numeral behind text type and big text type, underscore can identify specific service attribute.
As shown in figure 1, realizing a kind of system of above-mentioned universal architecture data store query method includes：Data control mould
Block, business diagnosis module, data memory module, inquiry control module, query analysis module and cache module.
Data control block：It is connected with business diagnosis module.Data control block mainly accept business data submission please
Ask, control follow-up flow processing.Data control block is substantially carried out authorization check and security processing.Meeting requirement will enter
Enter business diagnosis module, do subsequent treatment.
Business diagnosis module：It is connected with data memory module.After the request of data control block is received, business diagnosis
Business datum then according to the rule of service attribute, is converted to JSON structures by module, then carries out data memory module.
Data memory module：It is connected with business diagnosis module, query analysis module.Receive inquiry and storage number after request
According to.Because data and data source types have tight association, if data source types change, such as file system is changed to using database
System carries out data storage, then each submodule is required for changing in data memory module.Therefore in data memory module, also
There are multi-data source adaptation module, if system need change data source, then only need to modification data source adaptation module or
Person's system configuration parameter can, and other modules in not influence system.In this way, the present invention can meet different numbers
Supported according to the storage in the case of source and inquiry.
Inquire about control module：It is connected with query analysis module.Inquiry control module mainly accept business data query please
Ask, control follow-up flow processing.Enquiring component of the entrance of inquiry request on the described page, inquires about control module master
Carry out authorization check and security processing.Query analysis module will be entered by meeting requirement, do subsequent treatment.
Query analysis module：It is connected with cache module and data memory module.Query analysis module receives from inquiry control
The request of molding block.The module is in addition to receiving the request of query analysis module, in addition it is also necessary to which run timing task is used
Lucene builds search index file.The build mechanism of the search index file is as follows：By have the service attribute of variation with
And business datum finds correspondence Business Name and is polled scanning, and configured service attribute number is found according to Business Name
According to including service attribute type and rule searching, according to last time index file run time, the data changed after this time
Be required for checking out, as long as page screening conditions and the corresponding data of data attribute for participating in search, be required for by
Rule searching according to service attribute is indexed.If service attribute, to have changed data type and inquiry mode so corresponding
Index file is required for rebuilding.After the request for receiving query analysis module, analyze request in screening conditions and
Search value, directly goes in cache module to be inquired about, if corresponding data are then directly returned, once have data attribute and
The variation of data, then remove all for data cached under the Business Name.There is no corresponding data cached, then construction inquiry
Scheme, specific query scheme constructs Lucene search parameters by screening conditions and search value, is sieved for the page of transmission
It is all accurate matching to select the targeted service attribute of conditional parameter, and the service attribute of the targeted participation search of search value parameter is all
Fuzzy matching, inquires the unique identifier for all data for meeting conditions above, and correspondence is inquired by data memory module
Data, this batch data is cached by cache module, then directly return.
The workflow for inquiry in universal architecture data store query system is highlighted below, as shown in Figure 2
The workflow of inquiry is as follows：
Step 1：Inquiry control module receives the inquiry request of user's (browser), and querying condition is delivered into next step,
Perform step 2.
Step 2：Query analysis module is by the querying condition of request, the rule searching of service attribute, by request condition and
Business Name combines the key values as caching, and whether inquiry had had the inquiry request of the same terms.If had
Corresponding request results, then perform step 3, is formal inquiry if not, generates the query scheme based on Lucene.
If there are corresponding data after cache module inquiry, step 3 is performed, subsequent treatment is done
If not having corresponding data after cache module inquiry, the identification code of date checked out based on query scheme is passed
Next step is delivered to, step 4 is performed, does subsequent treatment.
Step 3：After the request for receiving query analysis module, whether inquiry has the key Value Datas of satisfaction, is then returned if having
Return.
Step 4：After the request for receiving query analysis module, the data for meeting requirement are returned.
Query analysis module described in step 2, when receiving the querying condition of inquiry control module, its business diagnosis
Main flow as shown in figure 3, including：
Configuration querying parameter, query argument can carry out initial configuration when system starts, at the beginning of being some that system needs
Beginning data, and online editing can handle as needed, so as to the demand of quick response user.Such as inquire about maximum amount of data, data
It must sort.The configuration of service attribute rule searching is then service attribute according to pointed by querying condition, obtained using this be as
Screening conditions still participate in search and carry out processing business attribute.
By query argument and rule searching more than query analysis, the query scheme based on Lucene can be constructed,
Specific data are inquired about by search index.
As shown in figure 4, being carried out by taking database data as an example to query portion process chart in the embodiment of the present invention detailed
Explanation.
1st, inquiry control module receives inquiry request, extracts querying condition therein.
2nd, into inquiry business analysis module, querying condition is analyzed, is advised according to the inquiry of query argument and service attribute
Then, the key of query caching can be generated, checks whether the key for the caching there are corresponding data in cache module.
3rd, if data cached, then inquiry is done directly, client is returned data to.
If the 4, constructing query scheme without data cached, search index obtains the identification code of data, checked whether there is
Corresponding identification code.
5th, if corresponding identification code data, then corresponding data are inquired about by data memory module, and by slow
Storing module stores current inquiry data, and returns data to client.
If the 6, without corresponding identification code data, directly returning to empty data to client.
Said system, is only description of the angle to system divided from functional module, need not be strictly according to above-mentioned when realizing
The form of functional module is realized, for example, being realized with the system framework shown in Fig. 1, as long as the system realized includes above-mentioned functions,
Belong within claimed system scope of the invention.
Claims (10)
1. a kind of storage querying method of universal architecture data, it is characterized in that comprising the following steps：
The corresponding relation of configuration service title and the Business Name and service attribute；
Configuration service attribute, specifically includes service attribute type, facilitates the maintenance of data；The rule searching of service attribute, it is convenient
The inquiry of business datum；
Configuration service data, according to the service attribute of correspondence configuration, data are stored with JSON forms, with this by non-knot
The data of structure switch to the structural data of energy analytic uniform storage；
Configuration querying is indexed, and according to the service attribute rule searching of configuration, the JSON formatted datas to storage are analyzed and processed
Set up index；
According to the analysis to inquiry request, the rule searching of corresponding service attribute is extracted, according to the rule searching structure extracted
Querying method is made, data are inquired about with this；Query Result is returned into client.
2. the method as described in claim 1, it is characterised in that the title of the entitled configuration different business scene of configuration service
Exhale.
3. the method as described in claim 1, it is characterised in that service inquiry rule correspondence known to different business is looked into
Ask granularity.
4. the method as described in claim 1, it is characterised in that also include：It is adapted to the storage of different pieces of information Source Type.
5. the method as described in claim 1, it is characterised in that also include：Query display quantity and query caching are set；When
Inquiry data result quantity reaches display number, and the result inquired returned into client, and to this querying condition and
Query Result is cached；And when same inquiry next time direct returning result.
6. a kind of storage inquiry system of universal architecture data, it is characterised in that including：
Business configuration unit, for configuration service title and the corresponding relation of the Business Name and service attribute.With the purchase of property
Business attribute, specifically includes service attribute type, facilitates the maintenance of data.The rule searching of service attribute, facilitates the inquiry of data；
Business datum memory cell, according to the service attribute of correspondence configuration, data are stored in JSON forms, will be non-with this
The data of structuring switch to can analytic uniform storage structural data, be stored in multiple data sources while can be adapted to；
Search index sets up unit, and according to the service attribute rule searching of configuration, the JSON formatted datas to storage are analyzed
Index is set up in processing, and what is indexed here creates a mechanism, and uses third party's instrument Lucene (and its Related product)；
Enquiring component is set, and for building a station, system queries business specifically shows form on webpage, and component selection is specific
Business Name, so that this inquiry and the business set up direct contact, shows specific Query Result.
Query unit, according to the analysis to inquiry request, extracts the rule searching of corresponding service attribute, according to looking into for extracting
Rule construct querying method is ask, data are inquired about with this, Query Result is returned into client.
7. system as claimed in claim 6, it is characterised in that the title of the entitled configuration different business scene of configuration service
Exhale.
8. system as claimed in claim 6, it is characterised in that the service inquiry rule is looked into for the correspondence of different business attribute
Ask granularity.
9. system as claimed in claim 6, it is characterised in that also include：It is adapted to the storage of different pieces of information Source Type.
10. system as claimed in claim 6, it is characterised in that also include：Query display quantity and query caching are set；
When inquiry data result quantity reaches display number, the result inquired is returned into client, and to this querying condition
Cached with Query Result；And when same inquiry next time direct returning result.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109977139A (en) * | 2019-03-18 | 2019-07-05 | 京东数字科技控股有限公司 | Data processing method and device based on type of structured query statement |
| CN110399374A (en) * | 2019-07-05 | 2019-11-01 | 东软集团股份有限公司 | Data retrieval method, device, storage medium and electronic equipment |
| CN111078956A (en) * | 2019-12-17 | 2020-04-28 | 安徽中科大国祯信息科技有限责任公司 | A shrinkage storage query method for the distribution of intelligent pipe network inspection traces |
| CN114611476A (en) * | 2022-01-26 | 2022-06-10 | 博思数采科技发展有限公司 | Form content structured processing method and device |
| CN115080988A (en) * | 2021-09-13 | 2022-09-20 | 鼎链数字科技(深圳)有限公司 | Method and system for storing, using and auditing unstructured data based on block chain |
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| US20070219976A1 (en) * | 2006-03-20 | 2007-09-20 | Microsoft Corporation | Extensible query language with support for rich data types |
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| CN105404665A (en) * | 2015-11-12 | 2016-03-16 | 南威软件股份有限公司 | JSON format data query management system |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109977139A (en) * | 2019-03-18 | 2019-07-05 | 京东数字科技控股有限公司 | Data processing method and device based on type of structured query statement |
| CN110399374A (en) * | 2019-07-05 | 2019-11-01 | 东软集团股份有限公司 | Data retrieval method, device, storage medium and electronic equipment |
| CN111078956A (en) * | 2019-12-17 | 2020-04-28 | 安徽中科大国祯信息科技有限责任公司 | A shrinkage storage query method for the distribution of intelligent pipe network inspection traces |
| CN115080988A (en) * | 2021-09-13 | 2022-09-20 | 鼎链数字科技(深圳)有限公司 | Method and system for storing, using and auditing unstructured data based on block chain |
| CN114611476A (en) * | 2022-01-26 | 2022-06-10 | 博思数采科技发展有限公司 | Form content structured processing method and device |
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Application publication date: 20170915 |