CN107622055B - Method for rapidly realizing data service release - Google Patents
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Abstract
The invention discloses a method for rapidly realizing data service release, which is used for rapidly and logically or physically organically concentrating data of different sources and different formats and providing a uniform interface for accessing heterogeneous data sources, so that a user can directly configure services through a service configuration console and use released services, and rapid sharing of the data is realized. The invention realizes the configuration and generation of the service through the service configuration console, does not need to write codes and lightens the workload of service configuration personnel. Dynamic configuration of data resources and various services is achieved. Meanwhile, dynamic expansion and flexible mounting of data resources and various services are realized, the efficiency of managing and accessing data is improved, and the rapid release of data services is really realized.
Description
Technical Field
The invention relates to the technical field of data service release, in particular to a method for quickly realizing data service release.
Background
With the rapid development of information technology, different informatization systems are respectively established in enterprises and governments, and the respective informatization systems also generate data resources with certain values, so that how to rapidly realize the logically or physically organic centralization of data with different sources and different formats and provide a uniform interface for accessing heterogeneous data externally, users do not need to consider the problems of heterogeneity, data extraction, data synthesis and the like of a data model, and users only need to specify the data needed by the users without describing how to acquire the data, so that comprehensive data sharing is provided, the overall value of the data resources is improved, and the technical problem which needs to be solved urgently is achieved.
Disclosure of Invention
The present invention aims to provide a method for rapidly implementing data service release, so as to solve the aforementioned problems in the prior art.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
1. a method for rapidly realizing data service release is characterized in that:
the service configuration console provides convenient configuration and generation of the data service, so that the corresponding data service can be generated by simple configuration without compiling codes;
the service operation engine is used for providing an operation environment for the generated data service, analyzing the calling request of the data service, processing the calling process of the data service and returning a calling result;
the public support module provides related support for the service operation engine and the service configuration console, and comprises control of multi-data source connection, database table metadata analysis and data mapping;
the service configuration console comprises a data source configuration module, a service model configuration module and a service state control module; the service operation engine comprises a service unified interface module, a service binding mapping module and a service operation execution module; the public support module comprises a multi-data-source support module, a metadata analysis module and a service model analysis module;
the specific steps of the data service generation process are as follows:
the first step is as follows: extracting data in a data source to obtain data fields in the data source;
the second step is that: packaging the extracted data fields into a data template, and storing the data template in a JSON form;
the third step: converting the data segment in the data template into RESTful architecture style;
the fourth step: and resolving a service operation instruction and issuing the service according to the Rest service link address.
2. The method of claim 1, wherein the service execution engine is further responsible for managing the lifecycle of the data service, including the processes of service startup, service initialization, receiving a service request, processing service logic, returning a service result, and service shutdown.
3. The method of claim 1, wherein the service configuration console operates through a visualization page to configure database connections to be used, view database table metadata, build service models, manage associations of service model attributes/operations with database table metadata, and enable/disable control of services; the database connection supports multiple data sources.
4. The method of claim 1, wherein the method is a method using a hierarchical design, which divides the entire method into a user layer, a presentation layer, a logic layer, and an application layer.
5. The method of claim 1,
the specific steps of the data service call are as follows:
the first step is as follows: resolving a service operation instruction according to the Rest service link address;
the second step is that: searching a data source according to the analyzed operation instruction, analyzing the service model through a data mapping module, and analyzing the relation between the metadata of the service model and the metadata of a related database table;
the third step: analyzing the metadata of the database table through a metadata analysis module to analyze the column information and the primary key column of the database table;
the fourth step: and searching and calling the service by checking the analyzed database table information.
6. The method according to claim 5, characterized in that said first step: resolving a service operation instruction according to the Rest service link address; the method specifically comprises the following steps:
1) acquiring a service link list, and requesting the method: GET, listing the exposed service link address;
2) get portal links for a specific service: the request method comprises the following steps: GET, { serviceName } represents a service name, and the returned result mainly comprises sub-service links and metadata of a service model;
3) and (3) searching service linkage: the device is used for performing paging retrieval according to the specified retrieval condition, the ordering condition and the paging parameter; the request parameter name is series, and the parameter values are packaged together in json format and comprise three parts of paging parameters, sorting conditions and retrieval conditions;
4) acquiring a line information service link, and requesting the method: GET, id represents the primary key value of the row, json represents a row of data matched with the primary key value by returning a response result, and the row is a key value pair consisting of a plurality of attribute names and attribute values;
5) and newly adding service link and requesting method: POST, the request data is put in the body, the MediaType of the request data is 'application/json', namely, the Content-Type is set in the request header, the application/json format is used, key represents the attribute name, and value represents the attribute value;
6) modifying the service link, and requesting: PUT, id represents the primary key value of the row to be modified, the request data is placed in the body, the MediaType of the request data is to be 'application/json', namely, the Content-Type is set in the request header, the application/json uses json format, key represents the attribute name, and value represents the attribute value;
7) deleting the service link, and requesting: DELETE.
7. The method as claimed in claim 6, wherein the paging parameter, the sorting condition and the retrieving condition are respectively:
(1) the paging parameter is named page, and includes page number and line per page size, example: page { "size {" 20, ":1}, and page numbers begin with 1;
(2) the sorting condition is named sort, comprises attribute name property and sorting direction, and expresses a plurality of groups of sorting by arrays, wherein the sorting direction comprises ASC ascending order and DESC descending order, and the default is ASC ascending order;
(3) the retrieval condition is named as searchCondition, the parameter value represents the combination of the query condition expression, and the retrieval condition mainly comprises two types of logic conditions and comparison expressions; the returned response result is expressed by json and comprises a query result list content, paging information and sorting information sort, wherein the sorting information is similar to the sorting condition in the request, but an identification item ascending for indicating whether the order is ascending is added, the result list is a plurality of rows expressed by an array, and each row is a key value pair consisting of a plurality of attribute names and attribute values; wherein the paging information comprises size, number, totalPages, number OfElements, totalElements, firstPage and lastPage.
The invention has the beneficial effects that:
the method for rapidly realizing the data service release can realize the configuration and generation of the service through the service configuration console, does not need to write codes, and reduces the workload of service configuration personnel. And the functions of multiple data sources, database metadata management and the like are supported. The invention supports the support of various information resources of various mainstream databases (Oracle, DB2, MYSQL and the like). The invention realizes the dynamic configuration of data resources and various services. The dynamic expansion and flexible mounting of data resources and various services can be realized, the efficiency of managing and accessing data is improved, and the rapid release of data services is really realized.
Drawings
FIG. 1 is a general architectural diagram of the present invention;
FIG. 2 is a schematic of the layered structure of the present invention;
FIG. 3 is a schematic diagram of a data service generation flow in the present invention;
fig. 4 is a schematic diagram of a data service call flow in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
The existing data service publishing method generally adopts XML language to uniformly describe the mapping relation of an ontology, and adopts web service to realize the communication between a data source and a middleware, thereby completing the dynamic addition, deletion and modification of the data source. The method adopts XML and data for mapping, so that the service publishing efficiency and the data access efficiency are low, and flexible mounting of various services is complex.
The method for quickly realizing the data service release is different from the prior method, aims to establish a uniform interface of a database system, and completes all operations related to the database through the interface. The databases providing data sources are internally connected, and a uniform and transparent database is externally provided. Meanwhile, the databases providing the data sources also need to be shared with each other to forward data.
The invention mainly aims to realize information exchange among the access systems. The data extraction of the main stream database is supported, the access system registers the information to the service system in a service mode, and other access systems acquire the shared information by requesting the service to complete the information exchange among all specials. The dynamic expansion and flexible mounting of data resources and various services can be realized, and the efficiency of managing and accessing data is improved. The invention relates to a link and a bridge for communicating each access system and each output system to exchange and share information. The data of different sources and different formats are logically or physically organically concentrated, a uniform interface for accessing heterogeneous data sources is provided, so that a user can directly configure the service through a service configuration console and use the published service, and the sharing of the data is realized. Meanwhile, the method of the invention also realizes the functions of modifying service, deleting service, obtaining service, retrieving service, editing service attribute, editing service operation and the like.
Specifically, as shown in fig. 1-4, the present invention discloses a method for rapidly implementing data service release, which comprises: the service configuration console provides convenient configuration and generation of the data service, so that the corresponding data service can be generated by simple configuration without compiling codes; the service operation engine is used for providing an operation environment for the generated data service, analyzing the calling request of the data service, processing the calling process of the data service and returning a calling result; the public support module provides related support for the service operation engine and the service configuration console, and comprises control of multi-data source connection, database table metadata analysis and data mapping; the service configuration console comprises a data source configuration module, a service model configuration module and a service state control module; the service operation engine comprises a service unified interface module, a service binding mapping module and a service operation execution module; the public support module comprises a multi-data-source support module, a metadata analysis module and a service model analysis module;
the specific steps of the data service generation process are as follows:
the first step is as follows: extracting data in a data source to obtain data fields in the data source;
the second step is that: packaging the extracted data fields into a data template, and storing the data template in a JSON form;
the third step: converting the data segment in the data template into RESTful architecture style;
the fourth step: and resolving a service operation instruction and issuing the service according to the Rest service link address.
The service operation engine is also responsible for managing the life cycle of the data service, including the processes of service starting, service initialization, receiving a service request, processing service logic, returning a service result and service closing. The service configuration console configures database connection to be used, views database table metadata, establishes a service model, manages the incidence relation between service model attributes/operations and the database table metadata, and controls the activation/deactivation of services through visual page operation; the database connection supports multiple data sources. The method adopts a layered design method, and the whole method is divided into a user layer, a presentation layer, a logic layer and an application layer.
The specific step flow of the data service call is four steps, and the following steps are carried out:
the first step is as follows: resolving a service operation instruction according to the Rest service link address;
the first step specifically comprises:
1) acquiring a service link list, and requesting the method: GET, listing the exposed service link address;
2) get portal links for a specific service: the request method comprises the following steps: GET, { serviceName } represents the service name, and the returned result mainly includes sub-service links (e.g., retrieval), and metadata of the service model;
3) and (3) searching service linkage: the device is used for performing paging retrieval according to the specified retrieval condition, the ordering condition and the paging parameter; the request parameter name is series, the parameter values are packaged together by json format, and the request parameter name comprises three parts of paging parameters, sorting conditions and retrieval conditions, wherein:
(1) the paging parameter is named page, and includes page number (number) and line per page (size), example: page { "size {" 20, ":1}, and page numbers begin with 1;
(2) the sorting condition is named sort, comprises attribute name (property) and sorting direction (direction), and expresses a plurality of groups of sorting by arrays, the sorting direction comprises ASC (ascending order) and DESC (descending order), and the default is ASC;
(3) the retrieval condition is named as searchCondition, the parameter value represents the combination of the query condition expression, and the retrieval condition mainly comprises two types of logic conditions and comparison expressions; the returned response result is expressed by json and comprises a query result list (content), paging information (including size, number, totalPages, numberOfElements, totalElements, firstPage and lastPage) and sort information (sort), wherein the sort information is similar to the sort condition in the request, but an identification item (spacing) for indicating whether the order is ascending or not is added, the result list is a plurality of rows represented by an array, and each row is a key-value pair consisting of a plurality of attribute names and attribute values.
4) Acquiring a line information service link, and requesting the method: GET, id represents the primary key value of the row, json represents a row of data matched with the primary key value by returning a response result, and the row is a key value pair consisting of a plurality of attribute names and attribute values;
5) and newly adding service link and requesting method: POST, the request data is put in the body, the MediaType of the request data is to be 'application/json' (namely, the Content-Type: application/json is set in the request header), json (key-value) format is used, key represents the attribute name, and value represents the attribute value;
6) modifying the service link, and requesting: PUT, id represents the primary key value of the row to be modified, the request data is placed in the body, the MediaType of the request data is to be 'application/json' (namely, Content-Type is set in the request header: application/json), json (key-value) format is used, key represents the attribute name, and value represents the attribute value;
7) deleting the service link, and requesting: DELETE.
The second step is that: searching a data source according to the analyzed operation instruction, analyzing the service model through a data mapping module, and analyzing the relation between metadata (attribute and operation) of the service model and metadata of a related database table;
the third step: analyzing the metadata of the database table through a metadata analysis module to analyze the column information and the primary key column of the database table;
the fourth step: and searching and calling the service by checking the analyzed database table information.
The following is a noun explanation:
JSON (JavaScript Object Notification) is a lightweight data exchange format. It is based on a subset of ECMAScript. JSON employs a text format that is completely language independent, but also uses conventions similar to the C language family (including C, C + +, C #, Java, JavaScript, Perl, Python, etc.). These properties make JSON an ideal data exchange language. Easy to read and write by humans, and also easy to parse and generate by machines (typically used to increase network transmission rates).
REST (Representational State Transfer, REST for short) describes an architecture-style network system, such as a web application. Among the three mainstream Web service interaction schemes, REST is simpler and clearer than SOAP (Simple Object Access protocol) and XML-RPC, and tends to be designed and implemented in a simpler and lighter method no matter processing URL or encoding Payload. It is worth noting that REST does not have a clear standard, but rather a stylistic design. REST refers to a set of architectural constraints and principles. The application or design that satisfies these constraints and principles is RESTful.
By adopting the technical scheme disclosed by the invention, the following beneficial effects are obtained:
the method for rapidly realizing the data service release can realize the configuration and generation of the service through the service configuration console, does not need to write codes, and reduces the workload of service configuration personnel. And the functions of multiple data sources, database metadata management and the like are supported. The invention supports the support of various information resources of various mainstream databases (Oracle, DB2, MYSQL and the like). The invention realizes the dynamic configuration of data resources and various services. The dynamic expansion and flexible mounting of data resources and various services can be realized, the efficiency of managing and accessing data is improved, and the rapid release of data services is really realized.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and improvements can be made without departing from the principle of the present invention, and such modifications and improvements should also be considered within the scope of the present invention.
Claims (4)
1. A method for rapidly realizing data service release is characterized in that:
the service configuration console provides convenient configuration and generation of the data service, so that the corresponding data service can be generated by simple configuration without compiling codes;
the service operation engine is used for providing an operation environment for the generated data service, analyzing the calling request of the data service, processing the calling process of the data service and returning a calling result;
the public support module provides related support for the service operation engine and the service configuration console, and comprises control of multi-data source connection, database table metadata analysis and data mapping;
the service configuration console comprises a data source configuration module, a service model configuration module and a service state control module; the service operation engine comprises a service unified interface module, a service binding mapping module and a service operation execution module; the public support module comprises a multi-data-source support module, a metadata analysis module and a service model analysis module;
the specific steps of the data service generation process are as follows:
the first step is as follows: extracting data in a data source to obtain data fields in the data source;
the second step is that: packaging the extracted data fields into a data template, and storing the data template in a JSON form;
the third step: converting the data segment in the data template into RESTful architecture style;
the fourth step: resolving a service operation instruction and issuing service according to the Rest service link address;
the specific steps of the data service call are as follows:
the first step is as follows: resolving a service operation instruction according to the Rest service link address;
the second step is that: searching a data source according to the analyzed operation instruction, analyzing the service model through a data mapping module, and analyzing the relation between the metadata of the service model and the metadata of a related database table;
the third step: analyzing the metadata of the database table through a metadata analysis module to analyze the column information and the primary key column of the database table;
the fourth step: searching and calling service through the database table information analyzed by searching;
the first step of the data service invocation: resolving a service operation instruction according to the Rest service link address; the method specifically comprises the following steps:
1) acquiring a service link list, and requesting the method: GET, listing the exposed service link address;
2) get portal links for a specific service: the request method comprises the following steps: GET, { serviceName } represents a service name, and the returned result mainly comprises sub-service links and metadata of a service model;
3) and (3) searching service linkage: the device is used for performing paging retrieval according to the specified retrieval condition, the ordering condition and the paging parameter; the request parameter name is series, and the parameter values are packaged together in json format and comprise three parts of paging parameters, sorting conditions and retrieval conditions;
4) acquiring a line information service link, and requesting the method: GET, id represents the primary key value of the row, json represents a row of data matched with the primary key value by returning a response result, and the row is a key value pair consisting of a plurality of attribute names and attribute values;
5) and newly adding service link and requesting method: the POST is used for requesting data to be placed in the body, the MediaType of the requested data is 'application/json', namely, the Content-Type is set in a request header, application/json is used, the json format is expressed as key-value, the key expresses the attribute name, and the value expresses the attribute value;
6) modifying the service link, and requesting: PUT, id represents a main key value of a row to be modified, request data is placed in body, the MediaType of the request data is 'application/json', namely, the Content-Type is set in a request header, application/json uses json format, the json format is represented as key-value, the key represents an attribute name, and the value represents an attribute value;
7) deleting the service link, and requesting: DELETE;
the paging parameters, the sorting conditions and the retrieval conditions are respectively as follows:
(1) the paging parameter is named page, and includes page number and line per page size, example: page { "size {" 20, ":1}, and page numbers begin with 1;
(2) the sorting condition is named sort, comprises attribute name property and sorting direction, and expresses a plurality of groups of sorting by arrays, wherein the sorting direction comprises ASC ascending order and DESC descending order, and the default is ASC ascending order;
(3) the retrieval condition is named as searchCondition, the parameter value represents the combination of the query condition expression, and the retrieval condition mainly comprises two types of logic conditions and comparison expressions; the returned response result is expressed by json and comprises a query result list content, paging information and sequencing information sort, wherein compared with the sequencing condition in the request, the sequencing information only adds an identification item ascending for indicating whether the sequence is ascending or not, and the rest parts are the same; the result list is a plurality of rows represented by an array, and each row is a key value pair consisting of a plurality of attribute names and attribute values; wherein the paging information comprises size, number, totalPages, number OfElements, totalElements, firstPage and lastPage.
2. The method of claim 1, wherein the service execution engine is further responsible for managing the lifecycle of the data service, including the processes of service startup, service initialization, receiving a service request, processing service logic, returning a service result, and service shutdown.
3. The method of claim 1, wherein the service configuration console operates through a visualization page to configure database connections to be used, view database table metadata, build service models, manage associations of service model attributes/operations with database table metadata, and enable/disable control of services; the database connection supports multiple data sources.
4. The method of claim 1, wherein the method is a method using a hierarchical design, which divides the entire method into a user layer, a presentation layer, a logic layer, and an application layer.
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| CN108681507A (en) * | 2018-05-08 | 2018-10-19 | 浪潮软件集团有限公司 | Method for realizing automatic testing of RESTful API and web service |
| CN111198901B (en) * | 2020-01-06 | 2023-03-10 | 北京邮电大学 | Unified data service opening method and system based on multiple data sources |
| CN111767328A (en) * | 2020-06-04 | 2020-10-13 | 北京思特奇信息技术股份有限公司 | Method for inquiring data through interface |
| CN111984240A (en) * | 2020-06-29 | 2020-11-24 | 山东浪潮通软信息科技有限公司 | Method and device for expanding public service logic of domain entity |
| CN112506943B (en) * | 2020-10-30 | 2022-06-07 | 福建亿能达信息技术股份有限公司 | Heterogeneous data service providing method, device, equipment and medium |
| CN113064948B (en) * | 2021-04-29 | 2022-10-04 | 济南慧天云海信息技术有限公司 | Efficient and safe data service publishing method |
| CN115836284A (en) * | 2021-06-07 | 2023-03-21 | 京东方科技集团股份有限公司 | Universal data extraction system |
| CN117194533A (en) * | 2023-11-08 | 2023-12-08 | 中国电子科技集团公司第十五研究所 | Metadata service release method and system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040215604A1 (en) * | 2003-04-23 | 2004-10-28 | International Business Machines Corporation | System and method for querying a data source |
| CN102567024A (en) * | 2011-12-28 | 2012-07-11 | 畅捷通信息技术股份有限公司 | Script executing system and method |
| CN104133717A (en) * | 2014-08-26 | 2014-11-05 | 中电海康集团有限公司 | Service automatic generation and deployment method for data open system |
| CN105718601A (en) * | 2016-03-09 | 2016-06-29 | 浪潮通信信息系统有限公司 | Dynamic business integrating model and application method thereof |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7610348B2 (en) * | 2003-05-07 | 2009-10-27 | International Business Machines | Distributed file serving architecture system with metadata storage virtualization and data access at the data server connection speed |
| CN102497451B (en) * | 2011-12-28 | 2014-06-18 | 用友软件股份有限公司 | Service processing system and service processing method |
-
2016
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040215604A1 (en) * | 2003-04-23 | 2004-10-28 | International Business Machines Corporation | System and method for querying a data source |
| CN102567024A (en) * | 2011-12-28 | 2012-07-11 | 畅捷通信息技术股份有限公司 | Script executing system and method |
| CN104133717A (en) * | 2014-08-26 | 2014-11-05 | 中电海康集团有限公司 | Service automatic generation and deployment method for data open system |
| CN105718601A (en) * | 2016-03-09 | 2016-06-29 | 浪潮通信信息系统有限公司 | Dynamic business integrating model and application method thereof |
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