CN111737296B - Service processing method, device, equipment and storage medium - Google Patents
Service processing method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN111737296B CN111737296B CN202010540727.4A CN202010540727A CN111737296B CN 111737296 B CN111737296 B CN 111737296B CN 202010540727 A CN202010540727 A CN 202010540727A CN 111737296 B CN111737296 B CN 111737296B
- Authority
- CN
- China
- Prior art keywords
- service data
- service
- data set
- virtual
- processed
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000003672 processing method Methods 0.000 title abstract description 17
- 238000012545 processing Methods 0.000 claims abstract description 42
- 238000000034 method Methods 0.000 claims abstract description 30
- 238000004590 computer program Methods 0.000 claims description 7
- 238000012986 modification Methods 0.000 claims description 5
- 230000004048 modification Effects 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 description 11
- 230000006872 improvement Effects 0.000 description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000001413 cellular effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 239000010979 ruby Substances 0.000 description 1
- 229910001750 ruby Inorganic materials 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- Probability & Statistics with Applications (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Fuzzy Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The embodiment of the specification provides a service processing method, a device, equipment and a storage medium. The method comprises the following steps: receiving a service to be processed; the service to be processed corresponds to a plurality of service data sets; acquiring hierarchical information of each service data set; the hierarchy information indicates a correlation between the service data sets; sequentially calling service data in each service data set according to the hierarchical information to obtain summarized service data; and processing the service to be processed by utilizing the summarized service data. By using the method, when the service is processed, if the data of other data sets related to the service to be processed need to be acquired, corresponding service data can be acquired sequentially under the condition of considering the relevance of each data set, so that the correctness of the acquired data when the service to be processed is ensured, and the condition of error processing on the service is avoided.
Description
Technical Field
Embodiments of the present disclosure relate to the field of computer technologies, and in particular, to a service processing method, apparatus, device, and storage medium.
Background
With the development of science and technology and society, data generated in various fields are increasing, and the complexity of business related to corresponding fields is increasing. For example, a service to be processed may need to communicate with a plurality of different data sources, the data contained between the different data sources also being different. In the service processing process, service data from different data sources needs to be integrated to realize service processing.
However, when processing such services having interactivity with multiple data sources, data in the corresponding data sources is often directly called according to requirements between services. However, there may be a certain correlation between the data sources, and if there is a change in the data in a certain data source in the calling process, the data in other data sources associated with the data source may be affected accordingly, so that erroneous data is obtained in the service processing process, and normal processing of the service is affected. Thus, there is a need for a method that can accurately handle traffic involving multiple data sources.
Disclosure of Invention
An objective of the embodiments of the present disclosure is to provide a service processing method, apparatus, device, and storage medium, so as to solve the problem of how to accurately process a service having interactions with multiple data sources.
In order to solve the above technical problems, an embodiment of the present disclosure provides a service processing method, including:
receiving a service to be processed; the service to be processed corresponds to a plurality of service data sets;
acquiring hierarchical information of each service data set; the hierarchy information indicates a correlation between the service data sets;
sequentially calling service data in each service data set according to the hierarchical information to obtain summarized service data;
and processing the service to be processed by utilizing the summarized service data.
The embodiment of the specification also provides a service processing device, which comprises:
the service receiving module is used for receiving the service to be processed; the service to be processed corresponds to a plurality of service data sets;
the information acquisition module is used for acquiring the hierarchical information of each service data set; the hierarchy information indicates a correlation between the service data sets;
the data calling module is used for sequentially calling the service data in each service data set according to the hierarchical information to obtain summarized service data;
and the service processing module is used for processing the service to be processed by utilizing the summarized service data.
The embodiment of the specification also provides service processing equipment, which comprises a memory and a processor; the memory is used for storing computer program instructions; the processor is configured to execute the computer instructions to implement the steps of: receiving a service to be processed; the service to be processed corresponds to a plurality of service data sets; acquiring hierarchical information of each service data set; the hierarchy information indicates a correlation between the service data sets; sequentially calling service data in each service data set according to the hierarchical information to obtain summarized service data; and processing the service to be processed by utilizing the summarized service data.
The embodiments of the present specification also propose a storage medium having stored thereon computer program instructions which, when executed, implement the above-mentioned business processing method.
As can be seen from the technical solutions provided in the embodiments of the present disclosure, after receiving a service to be processed, the service processing method in the embodiments of the present disclosure sequentially obtains data in each service data set according to the hierarchical information of each service data set corresponding to the service to be processed and in combination with the relationship corresponding to the hierarchical information, thereby avoiding the influence on data in other data sets when invoking data in a certain data set, and ensuring the correctness of service processing and avoiding occurrence of errors in service processing.
Drawings
In order to more clearly illustrate the embodiments of the present description or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present description, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a service processing method according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram showing a hierarchical structure of a service data set according to an embodiment of the present disclosure;
fig. 3 is a block diagram of a service processing device according to an embodiment of the present disclosure;
fig. 4 is a block diagram of a service processing device according to an embodiment of the present disclosure.
Detailed Description
The technical solutions of the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are intended to be within the scope of the present disclosure.
The embodiment of the present disclosure proposes a service processing method, as shown in fig. 1, where an execution body of the service processing method is a computer device, and the computer device includes, but is not limited to, a server, an industrial personal computer, a PC, and the like. The service processing method specifically comprises the following steps.
S110: receiving a service to be processed; the service to be processed corresponds to a plurality of service data sets.
The service to be processed is a service associated with a plurality of service data sets. For example, the service to be processed may be an account amount summarizing service, and when the service to be processed is processed, account balances of accounts related to the service to be processed need to be obtained, and the account balances are summarized to complete the service to be processed; in another example, the service to be processed may be a data query service, but the data query service cannot directly obtain the corresponding data source, but needs to indirectly obtain the data source corresponding to the data to be queried through other multiple data sources, so as to complete the query of the data. The service to be processed is not limited to the above example, and will not be described herein.
The service data set comprises service data for processing the service to be processed. For example, when the service to be processed is an account amount summary service, each account related to the service to be processed may be used as a service data set, and accordingly, the service data may be account balance in the account.
In some application scenarios, the service data sets may have a correlation, so that when data in a certain service data set is called, the data in other service data sets may be affected, thereby causing the finally obtained data to be erroneous data. In some other application scenarios, when the service data sets are more, unified calling of the data in the service data sets may also cause that the service data obtained by calling lacks of a corresponding relationship, so that it is difficult to process the service to be processed by using the obtained service data.
Since interactions with multiple service data sets are involved in processing the service to be processed and there is a correlation between different service data sets, the collection of data in each service data set needs to be completed with consideration of the correlation of service data sets.
S120: acquiring hierarchical information of each service data set; the hierarchy information indicates associations between the sets of business data.
The hierarchy information is used to represent the association between the sets of business data. In particular, the hierarchical information may be used to represent hierarchical relationships between different sets of traffic data. For example, in the case where the data in the service data set a affects the data in the service data set B after the data in the service data set a is changed, but the data in the service data set B is not affected after the data in the service data set a is changed, the data in the service data set B needs to be preferentially acquired, and then the service data set B may be used as a lower service data set of the service data set a, correspondingly, the service data set a is used as an upper service data set of the service data set B, and a relationship between the service data sets is used as hierarchical information corresponding to the service data set A, B.
In some embodiments, the acquiring the hierarchical information of each service data set may acquire the feature information of each service data set first, then classify the service data set into a plurality of service data units according to the feature information, and determine the hierarchical information between the service data units according to the feature information of different service data units.
The characteristic information is used for representing the type of the service data in the service data set. For example, the feature information may be used to describe a user type corresponding to a service data set, for example, when the service data set is an account, the feature information may be a type of a user corresponding to the account, and the feature information may be a unit, a person, an organization, or the like. The feature information is not limited to the above example, and the corresponding feature information may be determined according to a specific situation in practical application.
In some embodiments, the service data sets in the service data units have the same feature information, that is, the service data sets with the same feature information are divided into the same service data units, so that the service data is conveniently acquired. Correspondingly, the service data sets in the service data units have the same level information, so that corresponding service data can be directly obtained according to the divided service data units when the service data is called in the subsequent step, and the data collection is more conveniently completed.
S130: and sequentially calling the service data in each service data set according to the hierarchy information to obtain summarized service data.
After each service data set is determined, the hierarchical information can be used for indicating the association relation between the service data sets, so that the service data in each service data set can be acquired in sequence directly according to the hierarchical information, and the process of acquiring the service data is ensured not to cause interference to the data.
In some embodiments, a virtual service data set corresponding to each service data set may be established first, then a hierarchical relationship between each virtual service data set is determined according to the hierarchical information, a virtual service data network is constructed by using the hierarchical relationship and the virtual service data set, and summarized service data is obtained by using the virtual service data network.
A virtual traffic data set is a data set established specifically for collecting traffic data. Since processing data directly in the service data set may affect the original data in the service data set, interference between the data may be avoided by establishing a virtual service data set.
The hierarchical relationship may be used to distinguish the associated two virtual service data sets into an upper virtual service data set and a lower virtual service data set, i.e. to indicate a data transfer relationship between the virtual service data sets. And when collecting the data in the service data set, preferentially acquiring the service data in the lower virtual service data set.
In some embodiments, after the virtual service data network is constructed, the steps of transmitting the service data in the service data set corresponding to the bottom virtual service data set and transmitting the service data in the bottom virtual service data set to the upper virtual service data set corresponding to the bottom virtual service data set may be repeated, where the upper virtual service data set is used as a new bottom virtual service data set, transmitting the service data in the service data set to the bottom virtual service data set, and transmitting the service data in the bottom virtual service data set to the upper virtual service data set until the service data is transmitted to the top virtual service data set, and obtaining the service data in the top virtual service data set as summarized service data.
By utilizing the mode in the embodiment to collect the service data, the identity of the collecting mode is ensured, and meanwhile, the data collecting process cannot influence the corresponding service data set, so that the service to be processed is favorably processed.
In some embodiments, data adjustment instructions corresponding to the set of business data may be received when the business data is collected. The data adjustment instruction is used for modifying data in the service data set. After receiving the data adjustment instruction, the service data set needs to be adjusted to be in a locking state, and data in the service data set is modified based on the data adjustment instruction. In the locking state, the data in the service data set cannot be called, so that the situation that the collected data is different from the data obtained after adjustment in the actual application, and the service processing errors are caused is avoided. And after detecting that the data modification is completed, unlocking the service data set.
Accordingly, based on the above embodiment, in the process of collecting service data, if it is detected that the service data set corresponding to the bottom virtual service data set is in a locked state, service data in the service data set cannot be obtained, and the state of the service data set needs to be queried at intervals of preset detection time. The preset detection time can be, for example, one second, half a minute, one minute, etc., and can be adjusted according to the requirements of practical applications. After the service data set is inquired to release the locking state, the service data in the service data set is transmitted to the bottom virtual service data set, so that the correctness of the acquired service data is ensured.
In some embodiments, since the bottom virtual service data set does not have a corresponding lower virtual service data set, it is not necessary to construct a virtual service data set corresponding to the lowest service data set when constructing a virtual service data network, but the data of the service data set is directly transmitted to a corresponding upper virtual service data set, and the upper virtual service data set is used as the bottom virtual service data set, so that the simplicity of the constructed virtual service data network is ensured.
S140: and processing the service to be processed by utilizing the summarized service data.
After the summarized service data is obtained, the summarized service data can be utilized to complete the processing of the service to be processed. Because the summarized service data are acquired in consideration of the relevance of each service data set, the accuracy of the summarized service data can be ensured, and service processing errors are avoided.
If the to-be-processed service comprises a data summarizing service, the summarized service data can be directly fed back as a service processing result corresponding to the data summarizing service. The data summarizing service is a service for summarizing corresponding service data in each service data set. Because the service data in each service data set is acquired in turn based on the above process, the summarized service data can be directly fed back, thereby completing the processing of the data summarized service.
The above service processing method is described with a specific scenario example, for example, when the material industry needs to perform cost statistics for a certain cell, the service to be processed is a service for summarizing the cost of each account in the cell. The fees in the cell correspond to the individual fees generated by the houses in the cell, the public fees of the floors generated by the public equipments of the floors, the public fees of the units generated by the units and the public fees of the cells generated by the maintenance of the cell as a whole. If the cost of each category is counted in turn, the statistics may be wrong due to the complicated category. Therefore, the account generating the various fees of the house can be used as a primary real account, the account generating the public fees of the floor can be used as a secondary real account, the account generating the public fees of the unit can be used as a tertiary real account, and the account generating the public fees of the cell can be used as a quaternary real account. The four-level real account is a top-level real account, and the four-level virtual account is a top-level virtual account.
And then, respectively establishing virtual accounts corresponding to the real accounts, wherein the virtual accounts do not need to be established corresponding to the primary real accounts, and the virtual accounts respectively have corresponding relations. As shown in fig. 2, are account data networks corresponding to respective real and virtual accounts.
When the cost of each account is summarized, firstly, the account cost of a primary real account is transmitted to a secondary virtual account, the secondary virtual account generates account cost running water according to the account cost of the secondary real account and the received account cost summary of the real account, and the account cost running water is transmitted to a tertiary virtual account. Correspondingly, the tertiary virtual account generates new account cost running water corresponding to the tertiary virtual account according to account cost corresponding to the tertiary real account and the received account cost running water, and transmits the new account cost running water to the quaternary virtual account. Because the fourth virtual account is the top virtual account, the fourth virtual account can directly collect the account collected cost corresponding to the cell according to the received account cost flow of the third virtual account and the account cost in the fourth real account, namely, the service to be processed, which is to collect the cost of each account in the cell, is completed.
As can be seen from the description of the flow of the service processing method and the scenario examples, after receiving the service to be processed, the service processing method in the embodiment of the present disclosure sequentially acquires data in each service data set according to the hierarchical information of each service data set corresponding to the service to be processed and the relationship corresponding to the hierarchical information, thereby avoiding the influence on data in other data sets when invoking data in a certain data set, and ensuring the correctness of service processing and avoiding the occurrence of service processing errors.
In order to better implement the above service processing method, as shown in fig. 3, an embodiment of the present disclosure provides a service processing apparatus, where the apparatus is disposed on the computer device, and the apparatus includes:
a service receiving module 310, configured to receive a service to be processed; the service to be processed corresponds to a plurality of service data sets;
an information obtaining module 320, configured to obtain hierarchical information of each service data set; the hierarchy information indicates a correlation between the service data sets;
a data calling module 330, configured to call the service data in each service data set in turn according to the hierarchical information to obtain summarized service data;
and a service processing module 340, configured to process the service to be processed by using the summarized service data.
In order to better implement the above service processing method, as shown in fig. 4, an embodiment of the present disclosure provides a service processing apparatus. The traffic processing device may include a memory and a processor.
In this embodiment, the memory may be implemented in any suitable manner. For example, the memory may be a read-only memory, a mechanical hard disk, a solid state hard disk, or a usb disk. The memory may be used to store computer instructions.
In this embodiment, the processor may be implemented in any suitable manner. For example, the processor may take the form of, for example, a microprocessor or processor, and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a programmable logic controller, and an embedded microcontroller, among others. The processor may execute the computer instructions to implement the steps of: intercepting a data request sent to a data background by a system to be tested; modifying the data request to obtain a modified data request; sending the data modification request to a data background; and sending response data fed back by the data background to the system to be tested for system testing.
The present description also provides one embodiment of a computer storage medium. The computer storage medium includes, but is not limited to, random access Memory (Random Access Memory, RAM), read-Only Memory (ROM), cache (Cache), hard Disk (HDD), memory Card (Memory Card), and the like. The computer storage medium stores computer program instructions. The computer program instructions, when executed, implement: program instructions or modules of the corresponding embodiments of fig. 1 are described herein.
In the 90 s of the 20 th century, improvements to one technology could clearly be distinguished as improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) or software (improvements to the process flow). However, with the development of technology, many improvements of the current method flows can be regarded as direct improvements of hardware circuit structures. Designers almost always obtain corresponding hardware circuit structures by programming improved method flows into hardware circuits. Therefore, an improvement of a method flow cannot be said to be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (e.g., field programmable gate array (Field Programmable Gate Array, FPGA)) is an integrated circuit whose logic function is determined by the programming of the device by a user. A designer programs to "integrate" a digital system onto a PLD without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, such programming is mostly implemented with "logic compiler" software, which is similar to the software compiler used in program development and writing, and the original code before the compiling is also written in a specific programming language, which is called hardware description language (Hardware Description Language, HDL), but HDL is not only one, but a plurality of kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), lava, lola, myHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog2 are most commonly used at present. It will also be apparent to those skilled in the art that a hardware circuit implementing the logic method flow can be readily obtained by merely slightly programming the method flow into an integrated circuit using several of the hardware description languages described above.
The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
From the above description of embodiments, it will be apparent to those skilled in the art that the present description may be implemented in software plus a necessary general purpose hardware platform. Based on this understanding, the technical solution of the present specification may be embodied in essence or a part contributing to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the embodiments or some parts of the embodiments of the present specification.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
The specification is operational with numerous general purpose or special purpose computer system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
The description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
Although the present specification has been described by way of example, it will be appreciated by those skilled in the art that there are many variations and modifications to the specification without departing from the spirit of the specification, and it is intended that the appended claims encompass such variations and modifications as do not depart from the spirit of the specification.
Claims (10)
1. A method for processing a service, comprising:
receiving a service to be processed; the service to be processed corresponds to a plurality of service data sets; the plurality of service data sets are derived from a plurality of data sources;
acquiring hierarchical information of each service data set; the hierarchy information indicates a correlation between the service data sets; the hierarchy information is used for determining a hierarchy relation in the service data set; the hierarchical relationship is used for dividing the service data set into an upper service data set and a lower service data set; the data in the lower business data set is not influenced after being changed; the data in the upper business data set influences the data in the lower business data set after being changed;
sequentially calling service data in each service data set according to the hierarchical information to obtain summarized service data; wherein, include: preferentially acquiring service data in a lower service data set;
and processing the service to be processed by utilizing the summarized service data.
2. The method of claim 1, wherein the set of business data comprises a user account.
3. The method of claim 1, wherein the obtaining hierarchical information for each set of business data comprises:
acquiring characteristic information of each service data set; the characteristic information is used for representing the type of the service data in the service data set;
classifying the service data set into a plurality of service data units according to the characteristic information; the service data sets in the service data units have the same characteristic information;
determining hierarchy information between service data units according to the characteristic information of different service data units; the service data sets in the service data units have the same hierarchical information.
4. The method of claim 1, wherein sequentially invoking the service data in each service data set according to the hierarchy information to obtain summarized service data comprises:
establishing virtual service data sets corresponding to the service data sets;
determining the hierarchical relation among the virtual business data sets according to the hierarchical information; the hierarchical relationship is used for dividing the two associated virtual service data sets into an upper virtual service data set and a lower virtual service data set;
constructing a virtual service data network by utilizing the hierarchical relationship and the virtual service data set;
and acquiring summarized service data by utilizing the virtual service data network.
5. The method of claim 4, wherein the virtual traffic data network comprises a top layer virtual traffic data set and a bottom layer virtual traffic data set; the acquiring summarized service data by using the virtual service data network comprises the following steps:
transmitting service data in the service data set corresponding to the bottom virtual service data set;
transmitting service data in the bottom layer virtual service data set to an upper layer virtual service data set corresponding to the bottom layer virtual service data set;
repeatedly executing the steps of taking the upper virtual service data set as a new bottom virtual service data set, transmitting service data in the service data set to the bottom virtual service data set, and transmitting the service data in the bottom virtual service data set to the upper virtual service data set until the service data is transmitted to the top virtual service data set;
and acquiring service data in the top-layer virtual service data set as summarized service data.
6. The method of claim 5, wherein before transmitting the service data in the service data set corresponding to the underlying virtual service data set, further comprises:
receiving a data adjustment instruction corresponding to the service data set;
adjusting the service data set to be in a locking state;
modifying data in the service data set based on the data adjustment instruction;
after the completion of data modification is detected, the locking state of the service data set is released;
correspondingly, the transmitting the service data in the service data set corresponding to the bottom virtual service data set includes:
if the service data set corresponding to the bottom virtual service data set is detected to be in a locking state, inquiring the state of the service data set at intervals of preset detection time;
and after the service data set is inquired to release the locking state, transmitting the service data in the service data set to the bottom virtual service data set.
7. The method of claim 1, wherein the service to be processed comprises a data summary service; the processing the service to be processed by utilizing the summarized service data comprises the following steps:
and feeding back the summarized service data as a service processing result corresponding to the data summarized service.
8. A service processing apparatus, comprising:
the service receiving module is used for receiving the service to be processed; the service to be processed corresponds to a plurality of service data sets; the plurality of service data sets are derived from a plurality of data sources;
the information acquisition module is used for acquiring the hierarchical information of each service data set; the hierarchy information indicates a correlation between the service data sets; the hierarchy information is used for determining a hierarchy relation in the service data set; the hierarchical relationship is used for dividing the service data set into an upper service data set and a lower service data set; the data in the lower business data set is not influenced after being changed; the data in the upper business data set influences the data in the lower business data set after being changed;
the data calling module is used for sequentially calling the service data in each service data set according to the hierarchical information to obtain summarized service data; wherein, include: preferentially acquiring service data in a lower service data set;
and the service processing module is used for processing the service to be processed by utilizing the summarized service data.
9. A service processing device comprising a memory and a processor;
the memory is used for storing computer program instructions;
the processor is configured to execute the computer program instructions to implement the steps of: receiving a service to be processed; the service to be processed corresponds to a plurality of service data sets; the plurality of service data sets are derived from a plurality of data sources; acquiring hierarchical information of each service data set; the hierarchy information indicates a correlation between the service data sets; the hierarchy information is used for determining a hierarchy relation in the service data set; the hierarchical relationship is used for dividing the service data set into an upper service data set and a lower service data set; the data in the lower business data set is not influenced after being changed; the data in the upper business data set influences the data in the lower business data set after being changed; sequentially calling service data in each service data set according to the hierarchical information to obtain summarized service data; wherein, include: preferentially acquiring service data in a lower service data set; and processing the service to be processed by utilizing the summarized service data.
10. A storage medium having stored thereon computer program instructions which, when executed, implement the method steps of any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010540727.4A CN111737296B (en) | 2020-06-15 | 2020-06-15 | Service processing method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010540727.4A CN111737296B (en) | 2020-06-15 | 2020-06-15 | Service processing method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111737296A CN111737296A (en) | 2020-10-02 |
| CN111737296B true CN111737296B (en) | 2024-03-01 |
Family
ID=72649129
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010540727.4A Active CN111737296B (en) | 2020-06-15 | 2020-06-15 | Service processing method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111737296B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102929587A (en) * | 2012-09-28 | 2013-02-13 | 用友软件股份有限公司 | Data processing system and data processing method |
| CN103348331A (en) * | 2010-10-27 | 2013-10-09 | 尹摩特斯公司 | Tiered data storage system with data management and method of operation thereof |
| CN104657381A (en) * | 2013-11-21 | 2015-05-27 | 杭州洱海科技有限公司 | Elastic sense data platform |
| CN105677625A (en) * | 2014-11-21 | 2016-06-15 | 中国科学院沈阳自动化研究所 | Processing method for cooperatively filling multi-tier summarized statistical forms |
| CN106482783A (en) * | 2016-09-30 | 2017-03-08 | 重庆同远能源技术有限公司 | A kind of distribution ring main unit running status on-line monitoring system and method |
| CN109376188A (en) * | 2018-09-13 | 2019-02-22 | 智恒科技股份有限公司 | A kind of wisdom water utilities big data fusion method and system based on subject area |
| CN110019561A (en) * | 2018-05-14 | 2019-07-16 | 网联清算有限公司 | Transaction data method of summary, device and computer equipment |
| CN110069519A (en) * | 2018-08-23 | 2019-07-30 | 平安科技（深圳）有限公司 | Data information management method, apparatus, computer equipment and storage medium |
| CN110502549A (en) * | 2019-07-08 | 2019-11-26 | 招联消费金融有限公司 | User data processing method, device, computer equipment and storage medium |
| CN110705838A (en) * | 2019-09-12 | 2020-01-17 | 国网河北省电力有限公司电力科学研究院 | Comprehensive evaluation system for evaluating power supply service level |
| CN110968262A (en) * | 2018-09-28 | 2020-04-07 | 株式会社日立制作所 | Storage device and data storage method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8027981B2 (en) * | 2008-12-10 | 2011-09-27 | International Business Machines Corporation | System, method and program product for classifying data elements into different levels of a business hierarchy |
| US9026560B2 (en) * | 2011-09-16 | 2015-05-05 | Cisco Technology, Inc. | Data center capability summarization |
-
2020
- 2020-06-15 CN CN202010540727.4A patent/CN111737296B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103348331A (en) * | 2010-10-27 | 2013-10-09 | 尹摩特斯公司 | Tiered data storage system with data management and method of operation thereof |
| CN102929587A (en) * | 2012-09-28 | 2013-02-13 | 用友软件股份有限公司 | Data processing system and data processing method |
| CN104657381A (en) * | 2013-11-21 | 2015-05-27 | 杭州洱海科技有限公司 | Elastic sense data platform |
| CN105677625A (en) * | 2014-11-21 | 2016-06-15 | 中国科学院沈阳自动化研究所 | Processing method for cooperatively filling multi-tier summarized statistical forms |
| CN106482783A (en) * | 2016-09-30 | 2017-03-08 | 重庆同远能源技术有限公司 | A kind of distribution ring main unit running status on-line monitoring system and method |
| CN110019561A (en) * | 2018-05-14 | 2019-07-16 | 网联清算有限公司 | Transaction data method of summary, device and computer equipment |
| CN110069519A (en) * | 2018-08-23 | 2019-07-30 | 平安科技（深圳）有限公司 | Data information management method, apparatus, computer equipment and storage medium |
| CN109376188A (en) * | 2018-09-13 | 2019-02-22 | 智恒科技股份有限公司 | A kind of wisdom water utilities big data fusion method and system based on subject area |
| CN110968262A (en) * | 2018-09-28 | 2020-04-07 | 株式会社日立制作所 | Storage device and data storage method |
| CN110502549A (en) * | 2019-07-08 | 2019-11-26 | 招联消费金融有限公司 | User data processing method, device, computer equipment and storage medium |
| CN110705838A (en) * | 2019-09-12 | 2020-01-17 | 国网河北省电力有限公司电力科学研究院 | Comprehensive evaluation system for evaluating power supply service level |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111737296A (en) | 2020-10-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108595157B (en) | Block chain data processing method, device, equipment and storage medium | |
| CN110007957A (en) | Call link construction method, device and equipment | |
| US20070016893A1 (en) | Tracking resource usage by applications | |
| CN106156119A (en) | A kind of distributed transaction communication means, system and device | |
| CN110457578B (en) | Customer service demand identification method and device | |
| CN110503435B (en) | Transaction early warning method, device and equipment based on blockchain | |
| CN107066519A (en) | A kind of task detection method and device | |
| CN110516090A (en) | A kind of object detecting method, device, equipment and computer readable storage medium | |
| CN110650531B (en) | Base station coordinate calibration method, system, storage medium and equipment | |
| US7716531B2 (en) | System and method for fault mapping of exceptions across programming models | |
| US10803091B2 (en) | Method and device for determining a category directory, and an automatic classification method and device | |
| US20180052754A1 (en) | Performance metric contextualization in a distributed computing environment | |
| CN106201859A (en) | A kind of regression testing method and system | |
| CN110264213A (en) | A kind of processing method of information, device and equipment | |
| CN111737296B (en) | Service processing method, device, equipment and storage medium | |
| CN113408254A (en) | Page form information filling method, device, equipment and readable medium | |
| CN110245166B (en) | Data checking method and device | |
| CN111178846B (en) | Workflow file generation method, device, equipment and storage medium | |
| CN110046028B (en) | Data processing method, device and server | |
| CN111651522A (en) | Data synchronization method and device | |
| CN110059712A (en) | The detection method and device of abnormal data | |
| CN112800188B (en) | Dialogue processing method and device | |
| CN106548331B (en) | Method and device for determining release sequence | |
| CN110502551A (en) | Data read-write method, system and infrastructure component | |
| CN113157583B (en) | Test method, device and equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20220916 Address after: 25 Financial Street, Xicheng District, Beijing 100033 Applicant after: CHINA CONSTRUCTION BANK Corp. Address before: 25 Financial Street, Xicheng District, Beijing 100033 Applicant before: CHINA CONSTRUCTION BANK Corp. Applicant before: Jianxin Financial Science and Technology Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |