CN105718540A - Data loading method and apparatus - Google Patents

Data loading method and apparatus Download PDF

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Publication number
CN105718540A
CN105718540A CN201610031121.1A CN201610031121A CN105718540A CN 105718540 A CN105718540 A CN 105718540A CN 201610031121 A CN201610031121 A CN 201610031121A CN 105718540 A CN105718540 A CN 105718540A
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data
processing template
template
information
request information
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CN105718540B (en
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温树庭
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • G06F16/254Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses

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  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Transfer Between Computers (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The present application discloses a data loading method and apparatus. One specific implementation manner of the method comprises: receiving data request information in a flow, wherein the data request information comprises address information of to-be-processed data and data processing configuration information; acquiring the to-be-processed data according to the address information; determining a target processing template among preset processing templates according to the data processing configuration information; and performing conversion processing on the to-be-processed data by using the target processing template. The implementation manner implements integration of different data invocation interface types, is capable of speeding up data loading and thus improves the response speed of data requests in the flow.

Description

Data load method and device
Technical field
The application relates to field of computer technology, is specifically related to electricity technical field of data processing, particularly relates to data load method and device.
Background technology
Flow process center, is the processing center for operation flow examination & approval.When application approval operation flow, it is necessary to create list, to inform the applied for business tine in flow process center and other relevant informations.Flow process center, in the process that application is examined, can generate event notice, and show applicant by certain mode, to inform the result of each examination & approval step of applicant.
In above-mentioned operation flow approval process, flow process center needs to render list from external system loading data, after the event of generation notice, it is also desirable to event notice is loaded into external system.But, due to different external system data call interface type disunities, when obtaining data from external system or send data to external system, it is necessary to normal call and the transmission of data could be realized after data form being changed according to the calling interface type of external system.For different types of interface, it is necessary to however same processing template realizes.When calling repeatedly interface in a workflow, the response time at flow process center accordingly increases.
Summary of the invention
In view of this, it is desired to be able to a kind of quickly data load method is provided.Further, also it is desirable to the data load method of a kind of integrating external system interface can be provided.In order to solve said one or multiple problem, this application provides data load method and device.
On the one hand, this application provides a kind of data load method, including: receiving the data request information in flow process, described data request information includes address information and the data process configuration information of pending data;Described pending data are obtained according to described address information;Process configuration information according to described data from default processing template, determine target processing template;Adopt described target processing template that described pending data are carried out conversion process.
In certain embodiments, described default processing template includes: structuralized query template, Remote data processing template and internal data processing template;Before determining target processing template from default processing template according to described data process configuration information, described method also includes: processes configuration information according to described data and determines that described pending data are static data or dynamic data;Described process configuration information according to described data from default processing template, determine target processing template, including: if described pending data are static data, then using described structuralized query template as described target processing template;If described pending data are dynamic data, using described Remote data processing template or described internal data processing template as described target processing template.
In certain embodiments, described data process configuration information and include calling interface type, and described default processing template includes the processing template of configuration data calling interface type;Described according to described data process configuration information from default processing template, determine target processing template, including: if described pending data are dynamic data, the Remote data processing template or internal data processing template that configure the calling interface type of described pending data are defined as described target processing template.
In certain embodiments, described method also includes: configure the data transfer method information of described default processing template.
In certain embodiments, if described default processing template is structuralized query template, the data transfer method information of the described default processing template of described configuration, including: configure the query statement of described structuralized query template;If described default processing template is Remote data processing template or internal data processing template, the data transfer method information of the described default processing template of described configuration, including: configure the calling interface type that described default processing template is corresponding;The input parameter type of processing template is preset according to the calling interface type configuration that described default processing template is corresponding;The output parameter type of described default processing template is configured according to described data request information;It is transformed into the data transfer method of described output parameter type from described input parameter type for the configuration of described default processing template.
In certain embodiments, described method also includes: obtain the data variation frequency that described calling interface type is corresponding;And if data variation frequency corresponding to described calling interface type is less than predetermined threshold value, then the pending data after conversion are added into cache database.
In certain embodiments, described method also includes: processing configuration information based on described data and determine data back pattern, described data back pattern is synchronous mode or asynchronous mode;If described data back pattern is asynchronous mode, described data request information is added into message queue;The described address information according to described pending data obtains described pending data, including: obtain described pending data according to described address information successively according to the sequence of data request information in described message queue.
In certain embodiments, described request of data includes form data load request and event notification request;Described calling interface type at least includes: Simple Object Access Protocol interface, HTML (Hypertext Markup Language) interface.
Second aspect, this application provides a kind of data loading device, including: receiving unit, for receiving the data request information in flow process, described data request information includes address information and the data process configuration information of pending data;Acquiring unit, for obtaining described pending data according to described address information;First determines unit, determines target processing template for processing configuration information according to described data from the default processing template of configuration data conversion regime information;Converting unit, is used for adopting described target processing template that described pending data are carried out conversion process.
In certain embodiments, described default processing template includes: structuralized query template, Remote data processing template and internal data processing template;Described device also includes: second determines unit, determines that described pending data are static data or dynamic data for processing configuration information according to described data;Described first determines that unit is further used for determining target processing template as follows: if described pending data are static data, then using described structuralized query template as described target processing template;If described pending data are dynamic data, using described Remote data processing template or described internal data processing template as described target processing template.
In certain embodiments, described data process configuration information and include calling interface type, and described default processing template includes the processing template of configuration data calling interface type;Described first determines that unit is further used for determining target processing template as follows: if described pending data are dynamic data, and the Remote data processing template or internal data processing template that configure the calling interface type of described pending data are defined as described target processing template.
In certain embodiments, described device also includes: dispensing unit, for configuring the data transfer method information of described default processing template.
In certain embodiments, if described default processing template is structuralized query template, described dispensing unit is further used for configuring the query statement of described structuralized query template;If described default processing template is Remote data processing template or internal data processing template, described dispensing unit is further used for configuring as follows the data transfer method information of described default processing template: configure the calling interface type that described default processing template is corresponding;The input parameter type of processing template is preset according to the calling interface type configuration that described default processing template is corresponding;The output parameter type of described default processing template is configured according to described data request information;It is transformed into the data transfer method of described output parameter type from described input parameter type for the configuration of described default processing template.
In certain embodiments, described device also includes buffer unit, is used for: obtain the data variation frequency that described calling interface type is corresponding;And if data variation frequency corresponding to described calling interface type is less than predetermined threshold value, then the pending data after conversion are added into cache database.
In certain embodiments, described device also includes selecting unit, is used for: processing configuration information based on described data and determine data back pattern, described data back pattern is synchronous mode or asynchronous mode;And if described data back pattern is asynchronous mode, described data request information being added into message queue;Described acquiring unit is further used for obtaining described pending data as follows: obtain described pending data according to described address information successively according to the sequence of data request information in described message queue.
In certain embodiments, described request of data includes form data load request and event notification request;Described calling interface type at least includes: Simple Object Access Protocol interface, HTML (Hypertext Markup Language) interface.
The data load method of the application offer and device, by receiving the data request information in flow process, pending data are obtained subsequently according to the address information in data request information, then process configuration information according to the data in data request information from default processing template, determine target processing template, pending data are changed by the data transfer method information finally adopting the configuration of target processing template, achieve the integrated of different pieces of information calling interface type, data loading can be accelerated, thus improving the response speed of request of data in flow process.
Accompanying drawing explanation
Non-limiting example being described in detail with reference to what the following drawings was made by reading, other features, purpose and advantage will become more apparent upon:
Fig. 1 is that the application can apply to exemplary system architecture figure therein;
Fig. 2 is the flow chart of an embodiment of the data load method according to the application;
Fig. 3 is the scene schematic diagram of the default processing template of configuration SOAP interface type;
Fig. 4 is the operation principle schematic diagram of a concrete application of embodiment illustrated in fig. 2;
Fig. 5 is the flow chart of another embodiment of the data load method according to the application;
Fig. 6 is the operation principle schematic diagram of a concrete application of embodiment illustrated in fig. 5;
Fig. 7 is the structural representation of an embodiment of the data loading device according to the application;
Fig. 8 is adapted for the structural representation of the computer system for the terminal unit or server realizing the embodiment of the present application.
Detailed description of the invention
Below in conjunction with drawings and Examples, the application is described in further detail.It is understood that specific embodiment described herein is used only for explaining related invention, but not the restriction to this invention.It also should be noted that, for the ease of describing, accompanying drawing illustrate only the part relevant to about invention.
It should be noted that when not conflicting, the embodiment in the application and the feature in embodiment can be mutually combined.Describe the application below with reference to the accompanying drawings and in conjunction with the embodiments in detail.
Fig. 1 illustrates the exemplary system architecture 100 of the embodiment of data load method or the data loading device that can apply the application.
As it is shown in figure 1, system architecture 100 can include terminal unit 101,102, network 103, and server 104,105,106.Network 103 in order to provide the medium of communication link between terminal unit 101,102 and server 104,105,106.Network 103 can include various connection type, for instance wired, wireless communication link or fiber optic cables etc..
User 110 can use terminal unit 101,102 mutual with server 104,105,106 by network 103, to receive or to send message etc..Terminal unit 101,102 can be provided with various workflow examination and approval client application.Terminal unit 101,102 can be have a display screen and various electronic equipments that supported web page browses, include but not limited to smart mobile phone, panel computer, E-book reader, MP3 player (MovingPictureExpertsGroupAudioLayerIII, dynamic image expert's compression standard audio frequency aspect 3), MP4 (MovingPictureExpertsGroupAudioLayerIV, dynamic image expert's compression standard audio frequency aspect 4) player, pocket computer on knee and desk computer etc..
Server 104,105,106 can be to provide the server of various service, for instance user 110 is provided the data server of data, services support by the flow chart that terminal unit 101,102 is submitted to.The form data request received can be made a look up, call by data server, format transformation etc. processes, and result is fed back to terminal unit.
Server 104,105,106 can also be the server for processing workflow.In some applications, server 104 can be such as flow process central server, for receiving the form data request that user 110 is sent by terminal unit 101,102.Server 105,106 can be outside data server, for providing data, services for list.At this moment, server 104 can pass through the different pieces of information interface of server 105 and 106 and obtain form data, and sends form data to terminal unit 101,102.Terminal unit 101,102 utilizes the form data received render list and present to user 110.
It should be noted that, the data load method that the embodiment of the present application provides can be performed by terminal unit 101,102, can also being performed by server 104,105,106, correspondingly, data loading device can be arranged in terminal unit 101,102 or server 104,105,106.
It should be understood that the number of terminal unit in Fig. 1, network and server is merely schematic.According to realizing needs, it is possible to have any number of terminal unit, network and server.
With continued reference to Fig. 2, it is shown that the flow process 200 according to the data load method of the application embodiment.Described data load method, comprises the following steps:
Step 201, receives the data request information in flow process.
In the present embodiment, if data load method runs on the terminal unit 101,102 shown in Fig. 1, then terminal unit 101,102 can detect the operation of user's visioning procedure list, receives the data request information that user is sent by client.If data load method runs on the server 104,105,106 shown in Fig. 1, then server device 104,105,106 can receive, by the mode of wired or wireless connection, the data request information that user is sent by client.It is pointed out that above-mentioned radio connection can include but not limited to that 3G/4G connects, WiFi connects, bluetooth connects, WiMAX connects, Zigbee connects, UWB (ultrawideband) connects and other currently known or exploitation in the future radio connection.
Usual user is when start flow application, it is necessary to creates list, and applies for according to the content on list.After list is created, it is possible to generating data request information in client and run on electronic equipment thereon to data load method and send this data request information, requested data are the data needing to load in list.Data load method runs on electronic equipment thereon can receive the data request information in this flow process.When a certain project of the flow process application of user is completed to examine by flow processing central server, it is necessary to approval results is sent to relevant external equipment in the way of event notice, to synchronize the data in external equipment.At this moment, flow processing central server can generate data request information, and this data request information is the solicited message that the external equipment to association sends data synchronization message.Data load method runs on electronic equipment thereon can detect whether data request information, when described data request information being detected, receives this data request information.
In the present embodiment, data request information can include address information and the data process configuration information of pending data.Pending data can make the data in external equipment, it is also possible to is that data load method runs on the data to external equipment to be synchronized produced after flow process application is examined by electronic equipment thereon.The address information of pending data may be used for identifying the current memory address of pending data or target storage address.Data process configuration information can include the identification information of target processing template, further, it is possible to include the coding of target processing template.Data load method runs on electronic equipment thereon can quickly load the configuration information of corresponding templates according to the coding of target processing template.
In some optional implementations of the present embodiment, request of data can include form data load request information and time announcement solicited message.After creating list, above-mentioned electronic equipment needs the data obtaining external equipment to render list, and at this moment, above-mentioned electronic equipment can receive form data load request and relevant information.After completing workflow examination and approval, it is necessary to approval results is synchronized to external equipment, at this moment, above-mentioned electronic equipment can receive event notification request and relevant information, sends the form that the data in approval results notify with event to external equipment.
Step 202, pending data according to the acquisition of information of address.
In the present embodiment, the address information of above-mentioned pending data can be the target storage address of the current memory address of pending data or pending data.Data load method runs on electronic equipment thereon can read pending data according to the address information in the data request information that step 201 receives from corresponding current memory address, or determines, from the event notification message generated, the pending data that need to be synchronized to external equipment according to target storage address.
For data request information for form data load request information, described pending data are for being stored in external equipment, it is necessary to be loaded into the data in list.In the present embodiment, above-mentioned electronic equipment can send data acquisition request to external equipment, and receives the pending data that external-device response provides in this request.
It should be noted that, it is generally required to obtain data by multiple different external equipments during due to load table forms data, the data call interface of these external equipments is different, and therefore the data form of its pending data provided in response to data acquisition request also differs.Such as, different external equipments are different to the packaged type of data, the pending data types that it provides is different, such as integer (int), character type (char), floating type (float), character string type (string) etc., data head is different, such as different extensible markup language (XML) types.
Step 203, processes configuration information according to data and determines target processing template from default processing template.
The form of the pending data owing to obtaining from different external equipments in step 202 differs, the data of different-format directly cannot be loaded or process by flow process center, need the form by pending data to be converted to the accessible data form in flow process center so data load method runs on electronic equipment thereon, could in list normal load data.
In the present embodiment, data load method runs on electronic equipment thereon when pending data carry out the operations such as data parsing, data type conversion, data encapsulation, it is possible to use the default processing template stored processes.Above-mentioned electronic equipment can prestore multiple default processing template, and each default processing template all can configure the data transfer method information of correspondence.Data transfer method information can include data parsing mode, data type conversion mode and data packaged type etc..In actual applications, data transfer method information can include realizing the function call statement that data parsing, data type conversion and data encapsulate.Alternatively, data transfer method information can include the conversion method that input parameter type, output parameter type and the data by input parameter type are converted to the data of output parameter type.In actual scene, conversion method can be passed through to call corresponding data form transfer function, and inputs corresponding parameter, such as inputs parameter type, output parameter type etc. and realizes.
In the present embodiment, data load method run on electronic equipment thereon the method calling function as above can be configured to correspondence default processing template.After getting pending data, it is possible to directly adopt default processing template to carry out conversion process, call corresponding transfer function without by coding.Above-mentioned electronic equipment only need to obtain the parameters such as input parameter type, output parameter type, calling interface type from client, and default processing template can automatically be called corresponding function and data are changed.In other words, data load method run on electronic equipment thereon can by abstract for the method being called data by calling interface be a service, this service can be directly invoked in load table forms data or when notifying to external equipment synchronous event.Further, data load method runs on electronic equipment thereon can be pre-configured with multiple default processing template, namely can issue multiple service, corresponding to different data call interface types.And by multiple different Services Integration in same module, the data of different calling interface types are processed by normalized mode.So, when processing request of data, it is possible to either directly through this module, data are called, carry out corresponding encoding operation without further according to data type such that it is able to quickly respond form data request and event notification data request.
Further, data load method runs on electronic equipment thereon can store the multiple default processing template corresponding to different pieces of information calling interface type, and multiple default processing template is integrated in same processing module.So, when loading data, it is possible to either directly through processing module, the external system data of different calling interface types are called or by the external equipment of data syn-chronization to different calling interface types.
In the present embodiment, data process configuration information can include the identification information of target processing template, for instance the coding of target processing template.Then above-mentioned electronic equipment can determine target processing template according to the identification information of target processing template from default processing template.
In certain embodiments, default processing template can include structuralized query template, Remote data processing template and internal data processing template.Wherein structuralized query template may be used for processing the static data of request during form data loads.Remote data processing template and internal data processing template may be used for processing the data of form data load request and event notification request.Structuralized query template can be the statement template of SQL (StructuredQueryLanguage, SQL), it is possible to automatically inquire about required data in the data base that above-mentioned electronic equipment stores.Remote data processing template can include the processing template corresponding to different calling interface types.Alternatively, calling interface type can include Simple Object Access Protocol (SimpleObjectAccessProtocol, SOAP) interface, HTML (Hypertext Markup Language) (HyperTextTransferProtocol, HTTP) interface, and other self-defining calling interface types.Then Remote data processing template can include SOAP processing template, HTTP processing template and the processing template corresponding to other self-defining calling interface types or service framework.The reception that Remote data processing template can directly access external equipment and provide realizes the loading of data, namely directly pending data can be called and be changed.Internal data processing template is the processing template that the encoding operation by developer realizes that data load.In certain embodiments, internal data processing template can be the processing template being integrated with Remote data processing template and encoding operation.
In certain embodiments, before determining target processing template, data load method can also include: processes configuration information according to data and determines that described pending data are static data or dynamic data.Static data is immutable data, it is possible to be saved in the memorizer that data load method runs on electronic equipment thereon, when calling static data, it is possible to inquired about by SQL statement.Dynamic data is variable data, it is necessary to obtain in real time from external system.Target processing template can be determined in the following way: if pending data are static data, using structuralized query template as target processing template from default processing template;If pending data are dynamic data, using Remote data processing template or internal data processing template as target processing template.
Further, data process configuration information can include data call interface message, and default processing template can include the processing template of configuration data calling interface type.When pending data are static data, it is possible to the Remote data processing template or internal data processing template that configure the calling interface type of pending data are defined as target processing template.Namely the processing template of the calling interface type configuring pending data can be found out in default processing template, as target processing template.
Step 204, adopts target processing template that pending data are carried out conversion process.
In the present embodiment, it is possible to pending data are carried out conversion process with the data transfer method of configuration by based target processing template.Specifically, can by input target processing template such as the data type of pending data, target data type, interface type, checking information, adopt target processing template that pending data carry out header checking, data parsing, data type conversion and data encapsulation etc. automatically to process, the pending data obtained from external equipment are converted to the data type rendered required for list, or the data type that the pending data to external equipment to be synchronized are converted to external equipment calling interface type is corresponding.Exemplarily, the data type required for list is int, and when the data type read from external system is char, the data of char type can be converted to int type by target processing template automatically, and are supplied to list.
The data call of different interface type can be standardized by the data load mode that the present embodiment provides, thus accelerating data loading, improves the response speed of request of data in flow process.
In some optional implementations of the present embodiment, above-mentioned data load method can also include: the data transfer method information of processing template is preset in configuration.Wherein, data transfer method information can include the input data type of parameter, the data type of output parameter, data type conversion function, calling interface type.Alternatively, it is also possible to include input parameterized template, output parameter template, interface checking header, the input address information of parameter, calling interface describe information etc..Further, if presetting processing template is structuralized query template, then the data transfer method information of configuration structure query template can be carried out by configuration querying statement.If presetting processing template is Remote data processing template or internal data processing template, then can configure described data transfer method information in the following way: first the calling interface type that processing template is corresponding is preset in configuration, then according to the input parameter type presetting the default processing template of calling interface type configuration corresponding to processing template, the output parameter type of described default processing template can be configured afterwards according to request of data, be finally transformed into the data transfer method of output parameter type for presetting processing template configuration from input parameter type.Specifically, it is possible to determine input parameter type and output parameter type respectively according to the calling interface type of pending data and data request information, the transfer function of output parameter type is converted to afterwards from input parameter type for presetting processing template configuration.
Refer to Fig. 3, it illustrates the scene schematic diagram of the processing template of configuration SOAP interface type.As shown in Figure 3, the following items of this template can be configured: interface type, method of calling, interface name, URL (UniformResourceLocator, URL), interface describes, whether buffer memory, interface method, interface checking header, input type, input parameterized template, output type, output parameter template.Wherein, interface type is for identifying the calling interface type that template is corresponding;Method of calling is used for identifying data back pattern, it is possible to for either synchronously or asynchronously;Interface name is for identifying the interface name of external system;URL is for identifying the reference address of external system data;Whether buffer memory is used for identifying whether pending data are carried out buffer memory;Interface method is for identifying the data calling method of interface, specifically, it is possible to for data call function;Interface checking header is for identifying the checking information of client or flow processing central server, it is possible to adopt username and password checking;Input type is for identifying the type of input parameter, it is possible to for XML;Output type is for identifying the type of output parameter, it is also possible to for XML;Input parameterized template can be the template for loading input parameter, for instance for "<in><in>", output parameter template can be the template for encapsulating output parameter, for instance for "<out_LIST></out_LIST>".
In some optional implementations of the present embodiment, it is possible to enable cache mode.If the calling interface type of pending data is business datum change calling interface type infrequently, then pending data can be added cache database.Specifically, data load method can also include: obtains the data variation frequency that calling interface type is corresponding, if data variation frequency corresponding to described calling interface type is less than predetermined threshold value, then the pending data after conversion in step 204 are added into cache database.The calling interface type of these data can be added up after each loading data, and before finding out from daily record one or many load with these data, there are the data of identical storage address, judge whether the data of repeated loading change, so that it is determined that the data variation frequency of this calling interface type.When data variation frequency is less than default threshold value, these data can be added into cache database, then upper once load these data time, can without reacquiring data by external equipment and selecting processing template to carry out data conversion, only need to be loaded directly into this data from cache database, from the response speed greatly improving data load requests.It is possible to further arrange the data cached pot-life, automatically again can load this data from external system at data cached after date of crossing, or manual activation reloads data.
The data load method that the present embodiment provides can apply to the data call scene at flow process center, in flow process the loading of form data and time announcement can configuration ground integrated such that it is able to the quickly change of response service demand.When the process being applied to workflow, the information that workflow is relevant can realize based on configuration completely, it is possible to the changes in demand that quickly responsive operation stream is relevant.
With continued reference to Fig. 4, it illustrates the operation principle schematic diagram of the concrete application of embodiment illustrated in fig. 2.As shown in Figure 4, flow process center 41 may be used for the data service request information in handling process, and it can be arranged in server or terminal unit.External system 42 can for providing the system of data, services to flow process center.Flow process center 41 can render list by the data that multiple interfaces is called in external system 42, it is also possible to by multiple interfaces, event notice is sent to external system 42.
Fig. 4 schematically shows list 401 and event notice list 402 two parts content at flow process center.When loading the data of list 401, if the data loaded are static data, then corresponding data according to the address information in form data request, can be inquired about by SQL template in flow process center in the data base stored.If the data loaded are dynamic data, then can extract the address information of data in external system from data request information, and extract the calling interface type information of the external system at pending data place, calling interface type information according to external system selects corresponding processing template, including SOAP template (or Webservice template), HTTP template, inter-process template etc..Template by selecting calls the data of external system afterwards, namely the data of the external system got is carried out data conversion treatment.Can determine whether that the data after by process are added in cache database Redis according to the conversion frequency of the data of this calling interface type after process.In actual applications, the data after processing template process can also be packaged by flow process center 41, and the data after encapsulation are returned list.402 are notified for event, in workflow examination and approval process, if producing to need to be synchronized to the data of external system 42, flow process center 41 can send data request information, can include the calling interface type information of data storage address information in external system that needs synchronize and external system in data request information.Then corresponding processing template is selected according to calling interface type information, after adopting selected template to carry out data conversion treatment, by the data syn-chronization after conversion to external system 42.In the process, flow process center 41 can notify 402 offer data call services to list 401 and event in the way of template.The processing template of the data of different calling interface types is integrated, it is achieved that the standardization of the data call of different calling interface types.
With further reference to Fig. 5, it illustrates the flow chart of another embodiment of the data load method according to the application.As it is shown in figure 5, described data load method 500, comprise the following steps:
Step 501, receives the data request information in flow process.
In the present embodiment, data load method runs on electronic equipment thereon (terminal unit 101,102 or server 104,105,106) as shown in Figure 1 and can receive the data request information that client sends in several ways.Such as by obtaining data request information in response to detecting user to create the operation of list, or asked the data request information sent in response to user by the mode receiving terminal apparatus of wired or wireless connection.
Creating after list, it is possible to generating data request information in client and run on electronic equipment thereon to data load method and send this data request information, requested data are the data needing to load in list.When a certain project of the flow process application of user is completed to examine by flow processing central server, it is necessary to approval results is sent to relevant external equipment in the way of event notice, to synchronize the data in external equipment.At this moment, flow processing central server can generate data request information, and this data request information is the solicited message that the external equipment to association sends data synchronization message.
In the present embodiment, data request information can include address information and the data process configuration information of pending data.Pending data can make the data in external equipment, it is also possible to is that data load method runs on the data to external equipment to be synchronized produced after flow process application is examined by electronic equipment thereon.The address information of pending data may be used for identifying the current memory address of pending data or target storage address.Data process configuration information can include the identification information of target processing template, further, it is possible to include the coding of target processing template.Data load method runs on electronic equipment thereon can quickly load the configuration information of corresponding templates according to the coding of target processing template.
Step 502, processes configuration information based on data and determines data back pattern.
In the present embodiment, data process in configuration information can include the information calling result loopback mode for identifying pending data, and wherein, data back pattern is synchronous mode or asynchronous mode.In synchronous mode, client or server need response data solicited message return requested data or data set in real time, it is adaptable to the data request information that ageing requirement is higher;In asynchronous mode, data request information can be processed by client or server asynchronously, complete to return the requested data of data request information or data set afterwards in client or server process, it is adaptable to require relatively low data request information to ageing.
In synchronous mode, the method for synchronization can obtain data in real time and carry out conversion process.Under synchronous mode, during malloc failure malloc, result passback can be called by manual type trigger data.In asynchronous system, data request information call first result passback can have time delay.Data load mode runs on electronic equipment thereon can pre-set acquiescence call number, for instance 3 times.If the result of calling returned in asynchronous mode is unsuccessfully, then can repeatedly send data request information by the acquiescence call number pre-set and carry out data loading.If after the data of default number of times load, calling result is still unsuccessfully, then can be changed by manual type trigger data and the passback of transformation result.
Specifically, the data request information in the present embodiment can include form data load request information and event notification request information.Wherein, form data load request information needs to be responded in real time, it is possible to adopt synchronous mode;Event notification request information to ageing require relatively low, inter-system data coherence request is higher, it is possible to adopt asynchronous mode.Further, when loading data, according to the type of data request information, data back pattern can be included in data to process in configuration information and send, then data load method runs on electronic equipment thereon and can process from data and extract data back pattern configuration information and load based on corresponding Pattern completion data.
Step 503, if data back pattern is asynchronous mode, is added into message queue by data request information.
In the present embodiment, if determining in step 502, data back pattern is asynchronous mode, then data request information can write message queue (MessageQueue, MQ), and return the message that data have processed.
In some optional implementations of the present embodiment, data load method runs on electronic equipment thereon can the implementation status of message in supervisory messages queue, it is judged that whether data request information is successfully processed.If data request information is not successfully processed due to network jitter or data exception, data load unsuccessful, then can carry out re-request loading data by call operation daily record, alternatively, if data load unsuccessful, it is possible to repeatedly repetitive requests loading data, till data load successfully.
Step 504, the pending data according to the acquisition of information of address successively according to the sequence of data request information in message queue.
In the present embodiment, the address information of above-mentioned pending data can be the target storage address of the current memory address of pending data or pending data.Data load method runs on electronic equipment thereon can read pending data according to the address information in the data request information that step 501 receives from corresponding current memory address, or determines, from the time announcement message generated, the pending data that need to be synchronized to external equipment according to target storage address.
In step 503, data request information is added into message queue and waits for a period of time.Above-mentioned electronic equipment needs to obtain successively the pending data of correspondence according to the sequence of data request information in message queue.Namely need to call the data of external equipment successively according to order or successively by data syn-chronization to external equipment.Thus can reduce the requirement to network, promote the treatment effeciency that data load, promote the stability of system.
Step 505, processes configuration information according to data and determines target processing template from default processing template.
In the present embodiment, above-mentioned electronic equipment can prestore multiple default processing template, and each default processing template all can configure the data transfer method information of correspondence.Data transfer method information can include data head analysis mode, data type conversion mode and data packaged type etc..Alternatively, data transfer method information can include the conversion method that input parameter type, output parameter type and the data by input parameter type are converted to the data of output parameter type.In actual scene, conversion method can pass through to call the transfer function of corresponding data form, and inputs corresponding parameter, such as inputs parameter type, output parameter type etc. and realizes.
In the present embodiment, data load method run on electronic equipment thereon the method calling function as above can be configured to correspondence default processing template.After getting pending data, it is possible to directly adopt default processing template to carry out conversion process, call corresponding transfer function without by coding.Above-mentioned electronic equipment only need to obtain the parameters such as input parameter type, output parameter type, calling interface type from client, and namely default processing template can automatically be called corresponding function and data are changed.Further, data load method runs on electronic equipment thereon can be pre-configured with multiple default processing template, namely can issue multiple service, corresponding to different data call interface types.And by multiple different Services Integration in same module, the data of different calling interface types are processed by normalized mode.So, when processing request of data, it is possible to either directly through this module, data are called, carry out corresponding encoding operation without further according to data type such that it is able to quickly respond form data request and event notification data request.
In some optional implementations of the present embodiment, above-mentioned data load method can also include: the data transfer method information of processing template is preset in configuration.Wherein, data transfer method information can include the input data type of parameter, the data type of output parameter, data type conversion function, calling interface type.Alternatively, it is also possible to include input parameterized template, output parameter template, interface checking header, the input address information (such as URL) of parameter, calling interface describe information etc..It is possible to further carried out the data transfer method information of configuration structure query template by configuration querying statement.Teleprocessing template and the data transfer method information of inter-process template can be configured in the following way: first the calling interface type that processing template is corresponding is preset in configuration, then according to the input parameter type presetting the default processing template of calling interface type configuration corresponding to processing template, the output parameter type of described default processing template can be configured afterwards according to request of data, be finally transformed into the data transfer method of output parameter type for presetting processing template configuration from input parameter type.Specifically, it is possible to determine input parameter type and output parameter type respectively according to the calling interface type of pending data and data request information, the transfer function of output parameter type is converted to afterwards from input parameter type for presetting processing template configuration.
Step 506, adopts target processing template that pending data are carried out conversion process.
In the present embodiment, it is possible to pending data are carried out conversion process with the data transfer method of configuration by based target processing template.Specifically, can by input target processing template such as the data type of pending data, target data type, interface type, checking information, adopt target processing template that pending data carry out message header checking, data parsing, data type conversion and data encapsulation etc. automatically to process, the type of the pending data obtained from external equipment is converted to the data type rendered required for list, or the data type that calling interface type that the type of the pending data to external equipment to be synchronized is converted to external equipment is corresponding.For example, the data type required for list is int, and when the data type read from external system is char, the data of char type can be converted to int type by target processing template automatically, and are supplied to list.
Above-mentioned step 501, step 505 and the step 506 realized in flow process respectively with the step 201 in previous embodiment, step 203 and step 204 one_to_one corresponding, repeat no more herein.
From fig. 5, it can be seen that compared with embodiment illustrated in fig. 2, the flow process 500 of the data load method of the present embodiment adds the step determining data back pattern, and highlights the step that data request information adds message queue in asynchronous mode.Requiring relatively low scene accordingly, for data response is ageing, the scheme that the present embodiment describes can reduce the requirement to network and system resource by the mode of asynchronous call, strengthens the stability of flow processing system.
With further reference to Fig. 6, it illustrates the operation principle schematic diagram of the concrete application of embodiment illustrated in fig. 5.As shown in Figure 6, flow process center 61 may be used for the data service request information in handling process, and it can be arranged in server or terminal unit.External system 62 can for providing the system of data, services to flow process center.Flow process center 61 can render list by the data that multiple interfaces is called in external system 62, it is also possible to by multiple interfaces, event notice is sent to external system 62.In figure 6, load the data of list 601 or event is notified, and 603 when being synchronized to external system 62, if the data loaded are static data, then corresponding data according to the address information of data to be loaded, can be inquired about by SQL template in flow process center in the data base stored.If the data loaded are dynamic data, then can extract the address information of data in external system from data request information, and extract the calling interface type information of the external system at pending data place, and the calling interface type information according to external system selects corresponding processing template, including SOAP template (or Webservice template), HTTP template, inter-process template and self-defined template etc., and called the data of external system by the template selected.Before data are called, it is also possible to select data call result loopback mode.If selecting synchronous working pattern, it is possible to directly the data of the external system got are carried out data conversion treatment.If selection asynchronous work mode, it is possible to by data call request write MQ, and inform that flow process centre data request has processed.Can ask to carry out conversion process to the data call in MQ after waiting a period of time.Then can determine whether that the data after by process are added in cache database Redis according to the conversion frequency of the data of this calling interface type.In the process, flow process center 61 can notify 602 offer data call services to list 601 and event in the way of template.The processing template of the data of different calling interface types is integrated, and different mode of operation is provided, the treatment effeciency at flow process center can be promoted while specification difference calling interface type.
With continued reference to Fig. 7, as the realization to method shown in above-mentioned each figure, this application provides a kind of data loading device a embodiment, this device embodiment is corresponding with the embodiment of the method shown in Fig. 2, and this device specifically can apply in various electronic equipment.
As it is shown in fig. 7, the data loading device 700 described in the present embodiment includes: receive unit 701, acquiring unit 702, first determine unit 703 and converting unit 704.Wherein, receiving the unit 701 data request information for receiving in flow process, wherein, data request information includes address information and the data process configuration information of pending data;Acquiring unit 702 is for pending data according to the acquisition of information of address;First determines that unit 703 determines target processing template for processing configuration information according to data from default processing template;Converting unit 704 is used for adopting target processing template that pending data are carried out conversion process.
In the present embodiment, receive unit 701 and may be used for receiving in several ways the data request information that client sends.Data request information can include form data load request and event notification request.Receive unit 701 and can receive form data solicited message in response to the operation of user's visioning procedure list, it is also possible to receive the event notification request comprising data to be synchronized according to the result data of workflow examination and approval.
Acquiring unit 702 can obtain pending data according to the address information in data request information.Such as, when the reference address of the data call interface that address information is external system, acquiring unit 702 can access pending data according to this reference address;When address information is pending data be the storage address of the cured static data to flow process center time, acquiring unit 702 can according to the storage pending data of digital independent.
First determines that unit 703 can process configuration information according to the data received in the data request information that unit 701 receives and determine the target processing template for pending data carry out data conversion from multiple default processing template.Data process in configuration information the coding that can comprise mark calling interface type, then first determines that unit 703 can according to the codes selection default processing template corresponding with this calling interface type as target processing template.Wherein, calling interface type can include Simple Object Access Protocol interface, HTML (Hypertext Markup Language) interface and other self-defining calling interfaces.Default processing template can be the processing template being pre-configured with data transfer method.Specifically, default processing template input parameter type, output parameter type, the interface checking information such as header, calling interface type can be pre-configured with, when loading the data of external system or by system synchronization to external system, default processing template can be directly invoked data are carried out place's conversion process, with by Data Format Transform for data form corresponding to the data form required for list or external system calling interface type.
Converting unit 704 can adopt first to determine, and the pending data that acquiring unit 702 is obtained by the target processing template that unit 703 is determined are changed.Further, pending data can be carried out the operations such as interface checking, data parsing, data type conversion, data encapsulation by target processing template automatically, generate the data after conversion.Afterwards can by the data render after conversion in list or notice to external system.
In certain embodiments, data loading device can also include dispensing unit, buffer unit and selection unit (not shown).Wherein, dispensing unit is for configuring the data transfer method information of default processing template.Such as can configure teleprocessing template and inter-process template data conversion regime information in the following way: the calling interface type that processing template is corresponding is preset in configuration, the input parameter type of processing template set by the calling interface type configuration that default processing template is corresponding, configure the output parameter type of described default processing template according to data request information, be transformed into the data transfer method of output parameter type for the configuration of default processing template from input parameter type.
Buffer unit may be used for obtaining the data variation frequency that different calling interface type is corresponding, and when data variation frequency corresponding to calling interface type is less than predetermined threshold value, the pending data after conversion is added into cache database.
Selecting unit to may be used for processing configuration information based on data and determine data back pattern, wherein, data back pattern is synchronous mode or asynchronous mode.If described data back pattern is asynchronous mode, data request information is added into message queue.At this moment, acquiring unit 702 can be further used for according to the sequence of data request information in message queue successively according to the pending data of address acquisition of information.Thus realizing for the ageing asynchronous process requiring relatively low data request information, reduce the requirement to network.
Should be appreciated that all unit recorded in device 700 are corresponding with reference to each step in Fig. 2 method described.Thus, the operation and the feature that describe above with respect to data load method are equally applicable to device 700 and the unit wherein comprised, and the operation and the feature that describe above with respect to data load method are equally applicable to device 700 and the unit wherein comprised, and do not repeat them here.Corresponding units in device 700 can cooperate to realize the scheme of the embodiment of the present application with the unit in terminal unit and/or server.
The data loading device 700 that the present embodiment provides, achieves the integrated of different pieces of information calling interface type by the default processing template that is pre-configured with, it is possible to accelerate data loading, thus improving the response speed of request of data in flow processing.
Below with reference to Fig. 8, it illustrates the structural representation of the computer system 800 being suitable to terminal unit or server for realizing the embodiment of the present application.
As shown in Figure 8, computer system 800 includes CPU (CPU) 801, its can according to the program being stored in read only memory (ROM) 802 or from storage part 808 be loaded into the program random access storage device (RAM) 803 and perform various suitable action and process.In RAM803, also storage has system 800 to operate required various programs and data.CPU801, ROM802 and RAM803 are connected with each other by bus 804.Input/output (I/O) interface 805 is also connected to bus 804.
It is connected to I/O interface 805: include the importation 806 of keyboard, mouse etc. with lower component;Output part 807 including such as cathode ray tube (CRT), liquid crystal display (LCD) etc. and speaker etc.;Storage part 808 including hard disk etc.;And include the communications portion 809 of the NIC of such as LAN card, modem etc..Communications portion 809 performs communication process via the network of such as the Internet.Driver 810 is connected to I/O interface 805 also according to needs.Detachable media 811, such as disk, CD, magneto-optic disk, semiconductor memory etc., be arranged in driver 810 as required, in order to the computer program read from it is mounted into storage part 808 as required.
Especially, according to embodiment of the disclosure, the process described above with reference to flow chart may be implemented as computer software programs.Such as, embodiment of the disclosure and include a kind of computer program, it includes the computer program being tangibly embodied on machine readable media, and described computer program comprises the program code for performing the method shown in flow chart.In such embodiments, this computer program can pass through communications portion 809 and be downloaded and installed from network, and/or is mounted from detachable media 811.
Flow chart in accompanying drawing and block diagram, it is illustrated that according to the system of the various embodiment of the application, the architectural framework in the cards of method and computer program product, function and operation.In this, flow chart or each square frame in block diagram can represent a part for a module, program segment or code, and a part for described module, program segment or code comprises the executable instruction of one or more logic function for realizing regulation.It should also be noted that at some as in the realization replaced, the function marked in square frame can also to be different from the order generation marked in accompanying drawing.Such as, two square frames succeedingly represented can essentially perform substantially in parallel, and they can also perform sometimes in the opposite order, and this determines according to involved function.It will also be noted that, the combination of the square frame in each square frame in block diagram and/or flow chart and block diagram and/or flow chart, can realize by the special hardware based system of the function or operation that perform regulation, or can realize with the combination of specialized hardware Yu computer instruction.
It is described in unit involved in the embodiment of the present application to be realized by the mode of software, it is also possible to realized by the mode of hardware.Described unit can also be arranged within a processor, for instance, it is possible to it is described as: a kind of processor includes receiving unit, acquiring unit, first determines unit and converting unit.Wherein, the title of these unit is not intended that the restriction to this unit itself under certain conditions, for instance, receive unit and be also described as " for receiving the unit of the data request information in flow process ".
As on the other hand, present invention also provides a kind of nonvolatile computer storage media, this nonvolatile computer storage media can be the nonvolatile computer storage media comprised in device described in above-described embodiment;Can also be individualism, be unkitted the nonvolatile computer storage media allocating in terminal.Above-mentioned nonvolatile computer storage media storage has one or more program, when one or multiple program are performed by an equipment, making described equipment: receive the data request information in flow process, described data request information includes address information and the data process configuration information of pending data;Described pending data are obtained according to described address information;Process configuration information according to described data from default processing template, determine target processing template;Adopt described target processing template that described pending data are carried out conversion process.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.Skilled artisan would appreciate that, invention scope involved in the application, it is not limited to the technical scheme of the particular combination of above-mentioned technical characteristic, when also should be encompassed in without departing from described inventive concept simultaneously, other technical scheme being carried out combination in any by above-mentioned technical characteristic or its equivalent feature and being formed.Such as features described above and (but not limited to) disclosed herein have the technical characteristic of similar functions and replace mutually and the technical scheme that formed.

Claims (12)

1. a data load method, it is characterised in that including:
Receiving the data request information in flow process, described data request information includes address information and the data process configuration information of pending data;
Described pending data are obtained according to described address information;
Process configuration information according to described data from default processing template, determine target processing template;
Adopt described target processing template that described pending data are carried out conversion process.
2. method according to claim 1, it is characterised in that described default processing template includes: structuralized query template, Remote data processing template and internal data processing template;
Before determining target processing template from default processing template according to described data process configuration information, described method also includes:
Process configuration information according to described data and determine that described pending data are static data or dynamic data;
Described according to described data process configuration information from default processing template, determine target processing template, including:
If described pending data are static data, then using described structuralized query template as described target processing template;
If described pending data are dynamic data, using described Remote data processing template or described internal data processing template as described target processing template.
3. method according to claim 2, it is characterised in that described data process configuration information and include calling interface type, and described default processing template includes the processing template of configuration data calling interface type;
Described according to described data process configuration information from default processing template, determine target processing template, including:
If described pending data are dynamic data, the Remote data processing template or internal data processing template that configure the calling interface type of described pending data are defined as described target processing template.
4. method according to claim 3, it is characterised in that described method also includes:
Configure the step of the data transfer method information of described default processing template, including:
If described default processing template is structuralized query template, configure the query statement of described structuralized query template;And
If described default processing template is Remote data processing template or internal data processing template, perform following operation:
Configure the calling interface type that described default processing template is corresponding;
The input parameter type of processing template is preset according to the calling interface type configuration that described default processing template is corresponding;
The output parameter type of described default processing template is configured according to described data request information;
It is transformed into the data transfer method of described output parameter type from described input parameter type for the configuration of described default processing template.
5. method according to claim 1, it is characterised in that described method also includes:
Processing configuration information based on described data and determine data back pattern, described data back pattern is synchronous mode or asynchronous mode;
If described data back pattern is asynchronous mode, described data request information is added into message queue;And
The described address information according to described pending data obtains described pending data, including:
Described pending data are obtained according to described address information successively according to the sequence of data request information in described message queue.
6. according to the method one of claim 3-5 Suo Shu, it is characterised in that described request of data includes form data load request information and event notification request information;
Described calling interface type at least includes: Simple Object Access Protocol interface, HTML (Hypertext Markup Language) interface.
7. a data loading device, it is characterised in that including:
Receiving unit, for receiving the data request information in flow process, described data request information includes address information and the data process configuration information of pending data;
Acquiring unit, for obtaining described pending data according to described address information;
First determines unit, determines target processing template for processing configuration information according to described data from default processing template;
Converting unit, is used for adopting described target processing template that described pending data are carried out conversion process.
8. device according to claim 7, it is characterised in that described default processing template includes: structuralized query template, Remote data processing template and internal data processing template;
Described device also includes:
Second determines unit, determines that described pending data are static data or dynamic data for processing configuration information according to described data;
Described first determines that unit is further used for determining target processing template as follows:
If described pending data are static data, then using described structuralized query template as described target processing template;
If described pending data are dynamic data, using described Remote data processing template or described internal data processing template as described target processing template.
9. device according to claim 8, it is characterised in that described data process configuration information and include calling interface type, and described default processing template includes the processing template of configuration data calling interface type;
Described first determines that unit is further used for determining target processing template as follows:
If described pending data are dynamic data, the Remote data processing template or internal data processing template that configure the calling interface type of described pending data are defined as described target processing template.
10. device according to claim 9, it is characterised in that described device also includes:
Dispensing unit, for configuring the data transfer method information of described default processing template;
Wherein, if described default processing template is structuralized query template, described dispensing unit is for configuring the query statement of described structuralized query template;
If described default processing template is Remote data processing template or internal data processing template, described dispensing unit is for configuring the data transfer method information of described default processing template as follows:
Configure the calling interface type that described default processing template is corresponding;
The input parameter type of processing template is preset according to the calling interface type configuration that described default processing template is corresponding;
The output parameter type of described default processing template is configured according to described data request information;
It is transformed into the data transfer method of described output parameter type from described input parameter type for the configuration of described default processing template.
11. device according to claim 7, it is characterised in that described device also includes selecting unit, is used for:
Processing configuration information based on described data and determine data back pattern, described data back pattern is synchronous mode or asynchronous mode;And
If described data back pattern is asynchronous mode, described data request information is added into message queue;
Described acquiring unit is further used for obtaining described pending data as follows:
Described pending data are obtained according to described address information successively according to the sequence of data request information in described message queue.
12. according to the device one of claim 9-11 Suo Shu, it is characterised in that described data request information includes form data load request information and event notification request information;
Described calling interface type at least includes: Simple Object Access Protocol interface, HTML (Hypertext Markup Language) interface.
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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106649638A (en) * 2016-12-08 2017-05-10 贵州数据宝网络科技有限公司 Big data acquisition method
CN107220274A (en) * 2017-04-13 2017-09-29 江苏曙光信息技术有限公司 One kind visualization data-interface fairground implementation method
CN108509447A (en) * 2017-02-24 2018-09-07 北京国双科技有限公司 Data processing method and device
CN108833355A (en) * 2018-05-21 2018-11-16 深圳云之家网络有限公司 Data processing method, device, computer equipment and computer readable storage medium
CN109165856A (en) * 2018-08-31 2019-01-08 平安科技(深圳)有限公司 Examine Dynamic Configuration, device and the storage medium of chain
CN109873863A (en) * 2019-01-18 2019-06-11 北京百度网讯科技有限公司 The asynchronous invoking method and device of service
CN110262796A (en) * 2019-06-27 2019-09-20 广州力挚网络科技有限公司 Data processing method, device and electronic equipment based on java
CN110377356A (en) * 2019-06-14 2019-10-25 北京奇艺世纪科技有限公司 Task processing method, device, system and computer readable storage medium
CN110532305A (en) * 2018-05-23 2019-12-03 中国移动通信集团浙江有限公司 A kind of business datum method for cutting over and system
CN112231727A (en) * 2020-10-19 2021-01-15 北京达佳互联信息技术有限公司 Data processing method and device, electronic equipment, server and storage medium
CN112559813A (en) * 2021-01-29 2021-03-26 广州技象科技有限公司 Internet of things gateway data processing method and device based on instruction association pushing
CN113064950A (en) * 2021-03-18 2021-07-02 北京沃东天骏信息技术有限公司 Data synchronization method, device, equipment and storage medium
CN114257577A (en) * 2021-12-08 2022-03-29 长城计算机软件与系统有限公司 Service request message response method and system for micro service

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1271362A3 (en) * 2001-06-20 2005-10-12 Navarasoft Limited A method of handling a data request
CN102377798A (en) * 2010-08-13 2012-03-14 捷达世软件(深圳)有限公司 Process integration server and method for realizing system integration by utilizing same
CN103905526A (en) * 2014-03-05 2014-07-02 深圳市同洲电子股份有限公司 Dispatching method and server
CN104461516A (en) * 2014-11-21 2015-03-25 北京锐安科技有限公司 Data processing method and device
CN105245622A (en) * 2015-11-11 2016-01-13 中国建设银行股份有限公司 Configurable data processing method and system and mobile platform

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1271362A3 (en) * 2001-06-20 2005-10-12 Navarasoft Limited A method of handling a data request
CN102377798A (en) * 2010-08-13 2012-03-14 捷达世软件(深圳)有限公司 Process integration server and method for realizing system integration by utilizing same
CN103905526A (en) * 2014-03-05 2014-07-02 深圳市同洲电子股份有限公司 Dispatching method and server
CN104461516A (en) * 2014-11-21 2015-03-25 北京锐安科技有限公司 Data processing method and device
CN105245622A (en) * 2015-11-11 2016-01-13 中国建设银行股份有限公司 Configurable data processing method and system and mobile platform

Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106649638A (en) * 2016-12-08 2017-05-10 贵州数据宝网络科技有限公司 Big data acquisition method
CN106649638B (en) * 2016-12-08 2020-01-17 贵州数据宝网络科技有限公司 Big data acquisition method
CN108509447A (en) * 2017-02-24 2018-09-07 北京国双科技有限公司 Data processing method and device
CN107220274A (en) * 2017-04-13 2017-09-29 江苏曙光信息技术有限公司 One kind visualization data-interface fairground implementation method
CN108833355A (en) * 2018-05-21 2018-11-16 深圳云之家网络有限公司 Data processing method, device, computer equipment and computer readable storage medium
CN108833355B (en) * 2018-05-21 2020-12-29 深圳云之家网络有限公司 Data processing method, data processing device, computer equipment and computer readable storage medium
CN110532305A (en) * 2018-05-23 2019-12-03 中国移动通信集团浙江有限公司 A kind of business datum method for cutting over and system
CN109165856A (en) * 2018-08-31 2019-01-08 平安科技(深圳)有限公司 Examine Dynamic Configuration, device and the storage medium of chain
CN109165856B (en) * 2018-08-31 2023-08-08 平安科技(深圳)有限公司 Dynamic configuration method, device and storage medium of approval chain
CN109873863A (en) * 2019-01-18 2019-06-11 北京百度网讯科技有限公司 The asynchronous invoking method and device of service
CN109873863B (en) * 2019-01-18 2021-10-15 北京百度网讯科技有限公司 Asynchronous calling method and device of service
CN110377356A (en) * 2019-06-14 2019-10-25 北京奇艺世纪科技有限公司 Task processing method, device, system and computer readable storage medium
CN110262796A (en) * 2019-06-27 2019-09-20 广州力挚网络科技有限公司 Data processing method, device and electronic equipment based on java
CN112231727A (en) * 2020-10-19 2021-01-15 北京达佳互联信息技术有限公司 Data processing method and device, electronic equipment, server and storage medium
CN112231727B (en) * 2020-10-19 2024-10-29 北京达佳互联信息技术有限公司 Data processing method, device, electronic equipment, server and storage medium
CN112559813A (en) * 2021-01-29 2021-03-26 广州技象科技有限公司 Internet of things gateway data processing method and device based on instruction association pushing
CN113064950A (en) * 2021-03-18 2021-07-02 北京沃东天骏信息技术有限公司 Data synchronization method, device, equipment and storage medium
CN113064950B (en) * 2021-03-18 2024-04-16 北京沃东天骏信息技术有限公司 Data synchronization method, device, equipment and storage medium
CN114257577A (en) * 2021-12-08 2022-03-29 长城计算机软件与系统有限公司 Service request message response method and system for micro service

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