CN109743202B - Data management method, device and equipment and readable storage medium - Google Patents
Data management method, device and equipment and readable storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a data management method, a device, equipment and a readable storage medium, wherein the method comprises the following steps: the method comprises the steps of receiving a data processing flow change request sent by a user, wherein the data processing flow change request comprises a data processing flow identification, displaying a data flow change interface to the user, and then receiving a changed data processing flow input by the user through the change interface, wherein the changed data processing flow is the same as a data format output after the data is processed by the corresponding data processing flow before the change. The embodiment of the invention has the beneficial effects that: when the actual work needs change, a user can add, modify and delete data processing flows according to the actual work needs, and a corresponding data management system is set up through upward compatibility from the bottom layer design, so that the system is upgraded quickly, and the improvement efficiency is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a data management method, a data management device, data management equipment and a readable storage medium.
Background
With the development of science and technology, data management systems are adopted in many fields of communication collaboration, process management, business management and the like of enterprises, organizations and groups. The data management system provides great help for improving the service processing efficiency, standardizing the flow, overall scheduling and the like.
The existing data management system is a mode of combining a server and a database, the server uniformly plans functions, and when a user uses services provided by the server, the server calls the database to acquire data from the database to provide the services for the user.
The existing data management system is served by a server unified planning function, and along with the change of external environment and the increase of internal requirements, the functions of the server cannot be upgraded at any time, so that the flexibility of data management is poor, and the upgrading time period is longer.
Disclosure of Invention
Embodiments of the present invention provide a method, an apparatus, a device and a readable storage medium for managing data, so as to improve flexibility of data management and shorten upgrade time.
In a first aspect, an embodiment of the present invention provides a data management method, where the method includes:
receiving a data processing flow change request sent by a user, wherein the data processing flow change request comprises a data processing flow identifier;
displaying a data processing flow change interface to a user;
and receiving a changed data processing flow input by a user through the change interface, wherein the changed data processing flow is the same as the data format output after the data is processed by the corresponding data processing flow before the change.
Optionally, after receiving the modified data processing flow input by the user through the modification interface, the method further includes:
acquiring data to be processed;
and processing the data to be processed according to the changed data processing flow.
Optionally, the processing the data to be processed according to the changed data processing flow specifically includes:
and processing the data to be processed locally according to the changed data processing flow to obtain a processing result corresponding to the changed data processing flow.
Optionally, the processing the data to be processed according to the changed data processing flow specifically includes:
sending a data processing request to an upper layer of cluster management node equipment, so that the upper layer of cluster management node equipment acquires load information of terminal equipment controlled by the upper layer of cluster management node equipment according to the data processing request, distributes a computing task of the changed data processing flow to at least one other terminal equipment according to the load information, and acquires a computing result corresponding to the at least one other terminal equipment;
receiving a calculation result corresponding to the at least one terminal device sent by the previous layer of cluster management node device;
and summarizing the calculation result corresponding to the at least one terminal device to obtain the processing result corresponding to the changed data processing flow.
Optionally, the acquiring the data to be processed specifically includes:
and acquiring data to be processed from the certain cluster management node equipment or other terminal equipment.
Optionally, after processing the data to be processed according to the changed data processing flow, the method further includes:
storing the processing result corresponding to the changed data processing flow locally;
sending the changed data processing flow and the terminal equipment identification to the previous layer of cluster management node equipment so that the previous layer of cluster management node equipment updates the data processing flow and stores the changed data processing flow and the terminal equipment identification in an associated manner;
and judging whether the processing result corresponding to the changed data processing flow meets a backup condition, if so, sending the processing result corresponding to the changed data processing flow to the previous layer of cluster management node equipment so as to enable the previous layer of cluster management node equipment to backup the processing result corresponding to the changed data processing flow.
In a second aspect, the present invention provides an apparatus for managing data, the apparatus comprising:
the first receiving module is used for receiving a data processing flow change request sent by a user, wherein the data processing flow change request comprises a data processing flow identifier;
the display module is used for displaying a data processing flow change interface to a user;
and the second receiving module is used for receiving the changed data processing flow input by the user through the change interface, and the changed data processing flow is the same as the data format output after the data is processed by the corresponding data processing flow before the change.
Optionally, the apparatus further comprises: the device comprises an acquisition module and a processing module;
the acquisition module is used for acquiring data to be processed;
and the processing module is used for processing the data to be processed according to the changed data processing flow.
Optionally, the processing module is specifically configured to locally process the data to be processed according to the changed data processing flow, so as to obtain a processing result corresponding to the changed data processing flow.
Optionally, the processing module includes: a sending sub-module, a receiving sub-module and a gathering sub-module:
the sending submodule is configured to send a data processing request to an upper layer of cluster management node equipment, so that the upper layer of cluster management node equipment obtains load information of terminal equipment controlled by the upper layer of cluster management node equipment according to the data processing request, distributes a calculation task of the changed data processing flow to at least one other terminal equipment according to the load information, and obtains a calculation result corresponding to the at least one other terminal equipment;
the receiving submodule is configured to receive a calculation result corresponding to the at least one terminal device sent by the upper-layer cluster management node device;
and the summarizing submodule is used for summarizing the calculation result corresponding to the at least one terminal device so as to obtain the processing result corresponding to the changed data processing flow.
Optionally, the obtaining module is specifically configured to: and acquiring data to be processed from the certain cluster management node equipment or other terminal equipment.
Optionally, the apparatus further comprises: the device comprises a storage module, a sending module and a judging module;
the storage module is used for locally storing the processing result corresponding to the changed data processing flow;
the sending module is used for sending the changed data processing flow and the terminal equipment identification to the previous layer of cluster management node equipment so as to enable the previous layer of cluster management node equipment to update the data processing flow and store the changed data processing flow and the terminal equipment identification in an associated manner;
the judging module is used for judging whether the processing result corresponding to the changed data processing flow meets the backup condition or not; accordingly, if the backup condition is satisfied,
the sending module is further configured to send the processing result corresponding to the changed data processing flow to the previous layer of cluster management node device, so that the previous layer of cluster management node device backs up the processing result corresponding to the changed data processing flow.
In a third aspect, the present invention provides a terminal device, including:
a memory, a processor, and a computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method of the first aspect.
In a fourth aspect, the present invention also provides a computer readable storage medium having a computer program stored thereon, the computer program being executable by a processor to implement the method of the first aspect.
The embodiment of the invention provides a data management method, a data management device, data management equipment and a readable storage medium, wherein the method comprises the steps of receiving a data processing flow change request sent by a user, displaying a data processing flow change interface to the user, and then receiving a changed data processing flow input by the user through the change interface, wherein the changed data processing flow is the same as a data format output after the data is processed by the corresponding data processing flow before the change. The embodiment of the invention has the beneficial effects that: when the actual work needs change, the user can add, modify and delete the data processing flow according to the actual work needs, so that the system is upgraded quickly, and the improvement efficiency is improved.
It should be understood that what is described in the summary above is not intended to limit key or critical features of embodiments of the invention, nor is it intended to limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is an architecture diagram of a system for managing data provided by the present invention;
FIG. 2 is a flowchart illustrating a first embodiment of a data management method according to the present invention;
FIG. 3 is a flowchart illustrating a second embodiment of a data management method according to the present invention;
fig. 4 is a schematic flowchart of a third embodiment of a data management method provided in the present invention;
fig. 5 is a schematic flowchart of a fourth embodiment of a data management method provided in the present invention;
fig. 6 is a schematic flowchart of a fifth embodiment of a data management method provided in the present invention;
fig. 7 is a schematic flowchart of a sixth embodiment of a data management method according to the present invention;
FIG. 8 is a schematic structural diagram of a first embodiment of a data management device according to the present invention;
FIG. 9 is a schematic structural diagram of a second embodiment of a data management device according to the present invention;
FIG. 10 is a schematic structural diagram of a third embodiment of a data management device provided in the present invention;
fig. 11 is a schematic structural diagram of a fourth embodiment of a data management device provided in the present invention;
fig. 12 is a schematic structural diagram of a first terminal device according to an embodiment of the present invention;
fig. 13 is a schematic structural diagram of a fifth embodiment of a data management device provided in the present invention;
fig. 14 is a schematic structural diagram of a sixth embodiment of a data management device provided in the present invention;
fig. 15 is a schematic structural diagram of a first embodiment of a cluster management node device provided in the present invention.
Detailed Description
Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present invention. It should be understood that the drawings and the embodiments of the present invention are illustrative only and are not intended to limit the scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, and in the above-described drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Office automation is a way of doing business that combines modern office work with computer technology, embodied as serving enterprises, organizations, and groups through office management systems. The existing office management system usually has the characteristics of top-level design, centralized deployment, unified maintenance, directional access and the like, and with the development of internet technology and the rise of artificial intelligence, the traditional office management system cannot be applied to a data management method. The concrete points are as follows:
1. and the upgrading and reconstruction are delayed. Under the background of external environment change, internal requirement optimization and the like, the system is insensitive to the change of the system, and generally needs to be found manually, entrusts professionals to optimize the flow and upgrade the function after conference discussion, so the time period is long, and the cost is high.
2. Hardware acquisition or maintenance costs are high. In order to ensure the performance and stability of the system, a certain number of servers are required to be purchased, and the system has necessary machine room guarantee capability, and is a little investment for medium-sized and small enterprises. If the cloud server is selected for hosting, the risk of leakage of confidential data inside the enterprise exists.
3. Multi-system collaboration is difficult. For large and medium-sized enterprises, there are usually multiple sets of systems serving different fields or functions, and data interaction is difficult and function cooperation is poor due to many reasons such as internal management and control or construction planning.
4. And the outgoing access is inconvenient. The enterprise internal system is usually built in an internal local area network, and the mobile office is difficult to go out. Even if a VPN tunnel mechanism is built, users need additional development support for accessing through the mobile terminal.
Based on the defects in the prior art, the invention provides a data management method to improve the flexibility of data management and shorten the upgrade time.
Before describing the method provided by the embodiment of the present invention in detail, first, an application scenario of the data management method provided by the embodiment of the present invention is described in detail.
Fig. 1 is an architecture diagram of a data management system provided by the present invention. As shown in fig. 1, among others, the management system of data includes: the data management method comprises at least one cluster management node device and a local terminal device, wherein the at least one cluster management node device and the local terminal device participate in data management together, that is, the local terminal device has the capability of executing the data management method provided by the embodiment of the invention so as to realize data management.
The cluster management node device may be a server, wherein the server includes, but is not limited to, a single network server, a server group composed of a plurality of network servers, or a cloud based on cloud computing composed of a large number of computers or network servers. Cloud computing is a kind of distributed computing, and is a super virtual computer composed of a group of loosely coupled computers.
Further, the local terminal device may be a mobile phone terminal, a computer terminal, or the like. The server and the plurality of local terminal devices may communicate with each other through a switch, or the server and the plurality of local terminal devices may communicate with each other through an external network.
Further, the local terminal device has a capability of acquiring the basic data from other systems, and can process the acquired basic data according to the corresponding data processing flow, so as to output a processing result in the target format. Accordingly, the server can provide necessary device management, mission-critical node setup, and resource coordination and allocation of global clustered computing tasks.
The system can distribute the service functions on each node, thereby reducing the computation load of the total server.
The following describes the data management method provided by the present invention in detail by using specific embodiments.
Fig. 2 is a flowchart illustrating a first embodiment of a data management method according to the present invention. The execution subject of the data management method provided by the embodiment of the present invention may be a management apparatus or a terminal device of the data provided by the embodiment of the present invention, for example, the terminal device may be, but is not limited to, a smart phone, a computer, a tablet computer, and the like. In this embodiment, an example in which an execution subject is a terminal device (hereinafter, the terminal device will be simply referred to as a terminal) will be described. As shown in fig. 2, the method of the present embodiment includes:
s101, receiving a data processing flow change request sent by a user, wherein the data processing flow change request comprises a data processing flow identifier.
Specifically, when a user needs to change the data processing flow according to the actual work requirement, the user sends a data processing flow change request to the terminal. In a possible implementation manner, the data processing flow is changed by adding, deleting or modifying steps based on the original data processing flow, and therefore, the data processing flow change request may be an add data processing flow change request, a modify data processing flow change request, or a delete data processing flow change request. In another possible implementation manner, the data processing flow modification may also be a request for creating a new data processing flow in a customized manner, where the new data processing flow is completely different from the original data processing flow, and therefore, the data processing flow modification request may also be a request for creating a data processing flow in a customized manner.
Further, the data processing flow change request includes a data processing flow identifier, and the data processing flow identifier is used to indicate which data processing flow needs to be changed. After receiving a data processing flow change request sent by a user, the terminal determines which data processing flow the user needs to change is according to the data processing flow identification in the data processing flow change request.
It should be noted that the terminal changes the data processing flow, which is a prerequisite to meet the established flow convention of the upper-layer cluster management node.
And S102, displaying a data processing flow change interface to a user.
And S103, receiving the changed data processing flow input by the user through the change interface.
The data processing flow after the change is the same as the data processing flow before the corresponding change in the format of the data output after the data is processed.
The terminal displays a visual data processing flow change interface to a user so that the user inputs the changed data processing flow to the terminal, the terminal receives the changed data processing flow input by the user through the change interface, namely, the user adds, deletes or modifies the original data processing flow through the change interface displayed by the terminal to obtain the changed data processing flow, the terminal stores the changed data processing flow, and when the terminal needs to process data, the terminal processes the data according to the changed data processing flow.
Wherein, the difference between the data processing flow before the modification and the data processing flow after the modification is that: the data is processed in different ways, but the output data has the same format, that is, the data format of the output processing result is the same.
In this embodiment, a data processing flow modification request sent by a user is received, where the data processing flow modification request includes a data processing flow identifier, a data flow modification interface is displayed to the user, and then a modified data processing flow input by the user through the modification interface is received, where the modified data processing flow is the same as a data format output after data is processed by a corresponding data processing flow before modification. The beneficial effect of this embodiment lies in: when the actual work needs change, a user can add, modify and delete data processing flows according to the actual work needs, and a data management system is set up through upward compatibility from the bottom layer design, so that the system is upgraded quickly, and the improvement efficiency is improved. In addition, the method in the embodiment is used for changing the data processing flow by taking the actual work flow of the user as an entry point and performing data management according to the object as a unit, so that the efficiency of data management can be effectively improved, and meanwhile, the method is closer to the use habit of the user and can effectively improve the user experience.
Fig. 3 is a flowchart illustrating a second embodiment of a data management method according to the present invention. As shown in fig. 3, on the basis of the embodiment shown in fig. 2, after receiving the modified data processing flow input by the user through the modification interface in step S103, the method of this embodiment further includes the following steps:
and S104, acquiring data to be processed.
And S105, processing the data to be processed according to the changed data processing flow.
Specifically, the terminal may obtain the data to be processed from other systems according to the data acquisition mode, period, and acquisition parameters configured by the user.
Illustratively, the implementation manner of the terminal acquiring the data to be processed may be: the user inputs a data acquisition instruction to the terminal, the terminal sends the data to be processed acquisition instruction to other systems, and the other systems send the data to be processed to the terminal after receiving the data to be processed acquisition instruction sent by the terminal.
Illustratively, the implementation manner of the terminal acquiring the data to be processed may be: other systems send the data to be processed to the terminal periodically or at a specific time, so that the terminal processes the data to be processed.
For example, because the mapping relationship between the to-be-processed data stored or to be acquired in the upper-layer cluster management node device and the lower-layer cluster management node device or the terminal device, the implementation manner of acquiring the to-be-processed data by the terminal may be: and the terminal acquires the data to be processed from a certain cluster management node device or other terminal devices.
Of course, the data to be processed may also be obtained in other manners, and the specific implementation manner of obtaining the data to be processed is not limited in the embodiment of the present invention.
In this embodiment, after the user changes the data processing flow according to the requirement, the data to be processed is acquired, and the data to be processed is processed according to the changed data processing flow. According to the method, the user changes the data processing flow by taking the actual work flow of the user as an entry point and performing data management by taking things as units, the data is processed according to the changed data processing flow, the efficiency of data management can be effectively improved, meanwhile, the method is closer to the use habit of the user, and the user experience can be effectively improved.
Fig. 4 is a flowchart illustrating a third embodiment of a data management method according to the present invention. On the basis of the embodiment shown in fig. 3, in a possible implementation manner, the step S105 of processing the data to be processed according to the changed data processing flow may be implemented by the method of this embodiment.
As shown in fig. 4, the method of the present embodiment includes:
s201, sending a data processing request to the upper layer of cluster management node equipment, so that the upper layer of cluster management node obtains load information of the terminal equipment controlled by the upper layer of cluster management node according to the data processing request, distributes a calculation task of the changed data processing flow to at least one other terminal equipment according to the load information, and obtains a calculation result corresponding to the at least one other terminal equipment.
Specifically, the upper layer of cluster management node device stores a list of the layer of data processing flow and the lower layer of cluster management node device or terminal device under control, and stores or needs to obtain a mapping relationship between data and the lower layer of cluster management node device or terminal device.
The terminal sends a data processing request to a corresponding upper-layer cluster management node device, so that the upper-layer cluster management node obtains load information for controlling each terminal device after receiving the data processing request, where the load information represents a current operation capability of the terminal device, and for example, the load information may include: CPU utilization, memory usage, etc. The last layer of cluster management nodes distribute computing tasks to at least one other terminal device according to the load information of each terminal device, and the cluster management node devices distribute reasonable computing tasks according to the running conditions of each terminal device controlled by the cluster management node devices, so that the data processing efficiency is effectively improved.
And the terminal equipment to the calculation task processes the data to be processed according to the changed data processing flow, and at least one terminal equipment completes the corresponding calculation task and then sends the calculation result to the cluster management node.
S202, receiving a calculation result corresponding to at least one terminal device sent by the previous layer of cluster management node.
Specifically, the cluster management node device receives a calculation result corresponding to the calculation task sent by the terminal device to which the calculation task is allocated, and then sends the calculation result to the terminal device that submitted the data processing request.
S203, summarizing the calculation result corresponding to at least one terminal device to obtain the processing result corresponding to the changed data processing flow.
And the terminal equipment submitting the data processing request collects the received calculation results to obtain a processing result corresponding to the changed data processing flow, wherein the data format of the processing result corresponding to the changed data processing flow is the same as that of the data processing result corresponding to the original data processing flow.
Further, after the terminal device obtains the processing result corresponding to the changed data processing flow, the processing result can be displayed to the user through a display of the terminal device, so that the user can obtain the processing result through a visual interface.
In this embodiment, the terminal device sends a data processing request to an upper layer of cluster management node device, so that the upper layer of cluster management node obtains load information of the terminal device controlled by the upper layer of cluster management node according to the data processing request, allocates a calculation task of a modified data processing flow to at least one other terminal device according to the load information, and obtains a calculation result corresponding to the at least one other terminal device, and further, the terminal device receives a calculation result corresponding to the at least one terminal device sent by the upper layer of cluster management node, and summarizes the calculation result corresponding to the at least one terminal device, so as to obtain a processing result corresponding to the modified data processing flow. According to the method, through cluster operation, the terminal equipment distributed with the computing tasks processes the data to be processed according to the changed data processing flow, the computing resources of the terminal equipment controlled by the previous layer of cluster management node equipment are effectively utilized to carry out computing scheduling on the plurality of terminal equipment, load balancing is carried out among the plurality of terminal equipment, and the data processing efficiency is effectively improved.
Fig. 5 is a flowchart illustrating a fourth embodiment of a data management method according to the present invention. On the basis of the embodiment shown in fig. 4, step S203 may further include the method shown in this embodiment after summarizing the calculation result corresponding to at least one terminal device to obtain the processing result corresponding to the changed data processing flow. As shown in fig. 5, the method of the present embodiment includes:
and S301, storing the processing result corresponding to the changed data processing flow locally.
The terminal device stores the summarized processing result locally, for example, the terminal device may store the processing result in a memory configured in the terminal device, or the terminal device may also store the processing result in a cloud.
S302, the changed data processing flow and the terminal equipment identification are sent to the previous layer of cluster management node equipment, so that the previous layer of cluster management node equipment updates the data processing flow, and the changed data processing flow and the terminal equipment identification are stored in a correlation mode.
And sending the changed data processing flow and the corresponding terminal equipment identifier to the upper-layer cluster management node equipment, so that the upper-layer cluster management node equipment establishes an association relationship between the updated data processing flow and the terminal equipment identifier and stores the association relationship.
When new data to be processed needs to be subjected to cluster operation processing according to the changed data processing flow in the follow-up process, the cluster management node equipment does not need to acquire the changed data processing flow from the terminal equipment again, so that the data processing time is shortened, and the data processing efficiency is improved.
And S303, determining whether a processing result corresponding to the changed data processing flow meets a backup condition, for example, the backup condition may be set according to a service type, a service level, and the like corresponding to the data to be processed, and if the backup condition is met, sending the processing result corresponding to the changed data processing flow to the previous layer of cluster management node device, so that the previous layer of cluster management node device backs up the processing result corresponding to the changed data processing flow.
Specifically, the purpose of determining whether the processing result corresponding to the changed data processing flow satisfies the backup condition in this step is to determine the importance level of the processing result, and if the backup condition is satisfied, it indicates that the importance level of the processing result is higher, and the backup processing is required, and if the backup condition is not satisfied, it indicates that the importance level of the processing result is general, and the processing result does not need to be backed up, but only needs to be stored locally in the terminal device.
The processing result meeting the backup condition is sent to the previous layer of cluster management node equipment, so that the previous layer of cluster management node equipment performs backup, the safety and reliability of data are improved, and in addition, the higher-level cluster management node equipment can inquire relevant information through the backup processing result in the next layer of cluster management node equipment, so that high-level decision is made.
In this embodiment, the processing result corresponding to the changed data processing flow is stored locally, and the terminal device identifier of the changed data processing flow is sent to the previous layer of cluster management node device, so that the previous layer of cluster management node device updates the data processing flow, and the changed data processing flow and the terminal device identifier are stored in association, further, the terminal device determines whether the processing result corresponding to the changed data processing flow meets the backup condition, and if the backup condition is met, the processing result corresponding to the changed data processing flow is sent to the previous layer of cluster management node device, so that the previous layer of cluster management node device backs up the processing result corresponding to the changed data processing flow. According to the method, the changed data processing flow is sent to the upper-layer cluster management node equipment for updating the data processing flow, so that when new data to be processed needs to be processed, the data processing time can be effectively shortened, and the data processing efficiency is improved; furthermore, the processing result is locally stored or stored in a cluster mode according to the requirement according to the importance of the processing result, so that the safety and reliability of data are effectively improved, and a high-level decision basis is improved for cluster management node equipment of a higher level.
Fig. 6 is a schematic flowchart of a fifth embodiment of a data management method provided in the present invention. An execution main body of the data management method of this embodiment is a cluster management node device, and exemplarily, the cluster management node device may be a server. As shown in fig. 6, the method of the present embodiment includes:
s401, receiving a data processing request sent by the terminal equipment.
It should be noted that the server includes the layer data processing flow, the list of the managed and controlled lower layer terminal device, and the mapping relationship of the stored or acquired data lower layer terminal device. The server can only receive the data processing request sent by the managed terminal equipment.
In a possible implementation manner, the data processing request received by the server carries a terminal device identifier, where the terminal device identifier is used to represent a terminal device identity, and for example, the terminal device identifier may be an international mobile equipment identity of the terminal, and may also be identity tag information allocated by the server for the terminal device.
S402, acquiring load information of each terminal device managed and controlled by the cluster management node device.
The server acquires load information of each managed terminal device, where the load information is used to indicate a current operation capability of the terminal device, and the load information may include, for example: CPU utilization, memory usage, etc.
And S403, distributing the calculation task of the changed data processing flow to at least one terminal device according to the load information of each terminal device.
And the server distributes proper calculation tasks to the terminals with calculation capacity according to the load information of each terminal device, so that the terminal devices distributed with the calculation tasks process the to-be-processed data according to the changed data processing flow, and corresponding calculation results are obtained.
S404, obtaining a calculation result corresponding to at least one terminal device, and sending the calculation result corresponding to the at least one terminal device to the terminal device sending the data processing request.
And the server receives a calculation result obtained after the terminal equipment distributed with the calculation tasks processes the data to be processed according to the changed data processing flow. If the server allocates the computing tasks to the plurality of terminal devices in step S403, the server obtains computing results sent by the plurality of terminal devices, and if the server allocates the computing tasks to one terminal device in step S403, the server receives the computing results sent by the one terminal device. And then, the server sends the received multiple or one calculation result to the corresponding terminal equipment according to the terminal equipment identification in the data processing request.
In this embodiment, the cluster management node device receives the data processing request sent by the terminal device, then obtains load information of each terminal device managed and controlled by the cluster management node device, and allocates a calculation task of the changed data processing flow to at least one terminal device according to the load information of each terminal device, further, the cluster management node device obtains a calculation result corresponding to at least one terminal device, and sends the calculation result corresponding to at least one terminal device to the terminal device in the data processing request. In this embodiment, the cluster management node can perform operation scheduling on a plurality of device resources according to the operating conditions of the terminal devices controlled by the cluster management node, and perform load balancing among the plurality of terminal devices, thereby effectively improving the data processing efficiency.
Fig. 7 is a flowchart illustrating a sixth embodiment of a data management method according to the present invention. On the basis of the embodiment shown in fig. 6, after step S404, obtaining a calculation result corresponding to at least one terminal device, and sending the calculation result corresponding to the at least one terminal device to the terminal device that sends the data processing request, the method of this embodiment may also be included. As shown in fig. 7, the method of the present embodiment includes:
s501, updating the data processing flow according to the changed data processing flow sent by the terminal equipment and the terminal equipment identification.
And S502, associating and storing the changed data processing flow with the terminal equipment identifier.
And the terminal equipment sends the changed data processing flow and the corresponding terminal equipment identifier to the server, so that the server establishes an association relationship between the updated data processing flow and the terminal equipment identifier and stores the association relationship.
When new data to be processed needs to be subjected to cluster operation processing according to the changed data processing flow in the follow-up process, the server does not need to acquire the changed data processing flow from the terminal equipment again, so that the data processing time is shortened, and the data processing efficiency is improved.
S503, performing backup processing on a processing result which is sent by the terminal device and needs to be backed up, wherein the processing result is a processing result corresponding to the changed data processing flow.
The terminal equipment determines the importance level of the processing result by judging whether the processing result corresponding to the changed data processing flow meets the backup condition, if the processing result meets the backup condition, the importance level of the processing result is higher, the backup processing is required, and if the processing result does not meet the backup condition, the importance level of the processing result is general, the backup processing is not required, and the processing result is only stored locally in the terminal equipment.
And the server receives the processing result with higher importance level sent by the terminal equipment and backs up the processing result, wherein the server can back up the processing result to a memory configured by the server, or the server can also perform cloud storage on the processing result to realize the backup.
In this embodiment, the cluster management node device updates the data processing flow according to the changed data processing flow sent by the terminal device and the terminal device identifier, associates and stores the changed data processing flow and the terminal device identifier, and further receives a processing result sent by the terminal device and needing to be backed up, where the processing result is a processing result corresponding to the changed data processing flow. In the embodiment, by updating the data processing flow and storing the changed data processing flow in association with the terminal equipment identifier, when new data to be processed needs to be processed, the cluster management node can directly determine the data processing flow, so that the data processing time is effectively shortened, and the data processing efficiency is improved; furthermore, according to the importance of the processing result, the processing result is stored locally or in a cluster mode according to the requirement, so that the safety and reliability of data are effectively improved, and a high-level decision basis is improved for cluster management node equipment of a higher level.
Fig. 8 is a schematic structural diagram of a first embodiment of a data management device according to the present invention. As shown in fig. 8, the apparatus 80 of the present embodiment includes: a first receiving module 81, a display module 82 and a second receiving module 83.
The first receiving module 81 is configured to receive a data processing flow change request sent by a user, where the data processing flow change request includes a data processing flow identifier.
And the display module 82 is used for displaying the data processing flow change interface to the user.
And the second receiving module is used for receiving the changed data processing flow input by the user through the change interface, and the changed data processing flow is the same as the data format output after the data is processed by the corresponding data processing flow before the change.
The data management apparatus provided in this embodiment may execute the technical solution of the method embodiment shown in fig. 2, and the implementation principle and the technical effect are similar, which are not described herein again.
Fig. 9 is a schematic structural diagram of a second embodiment of a data management device according to the present invention. As shown in fig. 9, the apparatus 90 of the present embodiment further includes, on the basis of the embodiment shown in fig. 8: an acquisition module 84 and a processing module 85.
The obtaining module 84 is configured to obtain data to be processed.
In some embodiments, the obtaining module 84 is specifically configured to obtain the data to be processed from a certain cluster management node device or other terminal devices.
And the processing module 85 is configured to process the data to be processed according to the changed data processing flow.
In some embodiments, the processing module 85 is specifically configured to process the data to be processed locally according to the changed data processing flow, so as to obtain a processing result corresponding to the changed data processing flow.
The management apparatus for data provided in this embodiment may be used to execute the technical solution of the method embodiment shown in fig. 3, and the implementation principle and the technical effect are similar, which are not described herein again.
Fig. 10 is a schematic structural diagram of a third embodiment of a data management device provided in the present invention. As shown in fig. 10, in the apparatus 100 of the present embodiment, on the basis of the embodiment shown in fig. 9, the processing module 85 can also be implemented by:
the processing module 85 includes: a sending submodule 851, a receiving submodule 852 and a summarizing submodule 853.
The sending submodule 851 is configured to send a data processing request by the upper layer of cluster management node device, so that the upper layer of cluster management node device obtains load information of the terminal device controlled by the upper layer of cluster management node device according to the data processing request, distributes a calculation task of the changed data processing flow to at least one other terminal device according to the load information, and obtains a calculation result corresponding to the at least one other terminal device.
The receiving submodule 852 is configured to receive a calculation result corresponding to at least one terminal device sent by a previous layer of cluster management node.
And the summarizing submodule 853 is configured to summarize a calculation result corresponding to at least one terminal device to obtain a processing result corresponding to the changed data processing flow.
The management apparatus for data provided in this embodiment may be used to execute the technical solution of the method embodiment shown in fig. 4, and the implementation principle and the technical effect are similar, which are not described herein again.
Fig. 11 is a schematic structural diagram of a fourth embodiment of a data management device provided in the present invention. As shown in fig. 10, the apparatus 110 of the present embodiment further includes, on the basis of the embodiment shown by reference numeral 100: a storage module 86, a sending module 87, and a determining module 88.
The storage module 86 is configured to locally store the processing result corresponding to the changed data processing flow.
The sending module 87 is configured to send the changed data processing flow and the terminal device identifier to the previous layer of cluster management node device, so that the previous layer of cluster management node device updates the data processing flow, and stores the changed data processing flow and the terminal device identifier in an associated manner.
The judging module 88 is configured to judge whether a processing result corresponding to the changed data processing flow meets the backup condition.
If the backup condition is met, the sending module 87 is further configured to send the processing result corresponding to the changed data processing flow to the previous layer of cluster management node device, so that the previous layer of cluster management node device backs up the processing result corresponding to the changed data processing flow.
The management apparatus for data provided in this embodiment may be used to execute the technical solution of the method embodiment shown in fig. 5, and the implementation principle and the technical effect are similar, which are not described herein again.
Fig. 12 is a schematic structural diagram of a first terminal device according to an embodiment of the present invention. As shown in fig. 12, the apparatus 120 of the present embodiment includes: a memory 121 and a processor 122.
In which a computer program is stored, which is configured to be executed by the processor 122 to implement the above-mentioned method embodiments shown in fig. 2 to 5. The related description may be understood by referring to the related description and effect corresponding to the steps in fig. 2 to fig. 5, and redundant description is not repeated here.
Further, the memory 121 may be a separate physical unit, and may be connected to the processor 122 through a bus 123. The memory 121 and the processor 122 may also be integrated together, implemented by hardware, and the like.
The memory 121 is used for storing programs implementing the above method embodiments, and the processor 122 calls the programs to perform the operations of the above method embodiments.
Alternatively, when part or all of the method of the above embodiment is implemented by software, the terminal device 120 may only include a processor. A memory for storing the program is located outside the terminal device 120, and the processor is connected to the memory through a circuit/wire for reading and executing the program stored in the memory.
The Processor 122 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP.
The processor 122 may further include a hardware chip. The hardware chip may be an Application-Specific Integrated Circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a Field-Programmable Gate Array (FPGA), General Array Logic (GAL), or any combination thereof.
The Memory 121 may include a Volatile Memory (Volatile Memory), such as a Random-Access Memory (RAM); the Memory may also include a Non-volatile Memory (Non-volatile Memory), such as a Flash Memory (Flash Memory), a Hard Disk Drive (HDD) or a Solid-state Drive (SSD); the memory may also comprise a combination of memories of the kind described above.
Further, the present invention also provides a program product, for example, a computer-readable storage medium, the storage medium comprising: a computer program for performing the method of any of the embodiments of fig. 2 to 5 when executed by a processor.
Fig. 13 is a schematic structural diagram of a fifth embodiment of a data management device according to the present invention. As shown in fig. 13, the apparatus 130 of the present embodiment includes: a receiving module 131, a first obtaining module 132, a distributing module 133, and a second obtaining module 134.
The receiving module 131 is configured to receive a data processing request sent by a terminal device.
The first obtaining module 132 is configured to obtain load information of each terminal device managed and controlled by the cluster management node device.
The allocating module 133 is configured to allocate a calculation task of the changed data processing flow to at least one terminal device according to the load information of each terminal device.
The second obtaining module 134 is configured to obtain a calculation result corresponding to at least one terminal device, and send the calculation result corresponding to the at least one terminal device to the terminal device that sends the data processing request.
The management apparatus for data provided in this embodiment may be used to execute the technical solution of the method embodiment shown in fig. 6, and the implementation principle and the technical effect are similar, which are not described herein again.
Fig. 14 is a schematic structural diagram of a sixth embodiment of a data management device provided in the present invention. As shown in fig. 14, the apparatus 140 of the present embodiment further includes, on the basis of the embodiment shown in fig. 3: an update module 135, a storage module 136, and a backup module 137.
Specifically, the receiving module 131 is further configured to receive the modified data processing flow and the terminal device identifier sent by the terminal.
Accordingly, the updating module 135 is configured to update the data processing flow according to the changed data processing flow sent by the terminal and the terminal device identifier.
And the storage module 136 is configured to perform associated storage on the changed data processing flow and the terminal device identifier.
In some embodiments, the receiving module 131 is further configured to receive a processing result that needs to be backed up and is sent by the terminal, where the processing result is a processing result corresponding to the changed data processing flow.
Correspondingly, the backup module 137 is configured to perform backup processing on a processing result that needs to be backed up and is sent by the terminal device.
The management apparatus for data provided in this embodiment may be used to execute the technical solution of the method embodiment shown in fig. 7, and the implementation principle and the technical effect are similar, which are not described herein again.
Fig. 15 is a schematic structural diagram of a first embodiment of a cluster management node device provided in the present invention. As shown in fig. 15, the clustered management node device 150 provided in the present embodiment includes: a memory 151 and a processor 152.
In which a computer program is stored in the memory, which computer program is configured to be executed by the processor 152 for implementing the above-described method embodiments shown in fig. 6 to 7. The relevant description may be understood by referring to the relevant description and effect corresponding to the steps in fig. 6 to fig. 7, and redundant description is not repeated here.
Further, the memory 151 may be a separate physical unit, and may be connected to the processor 152 through a bus 153. The memory 151 and the processor 152 may also be integrated together, implemented by hardware, and the like.
The memory 151 is used for storing a program implementing the above method embodiment, and the processor 152 calls the program to perform the operation of the above method embodiment.
Alternatively, when part or all of the methods of the above embodiments are implemented by software, the cluster management node device 150 may only include a processor. The memory for storing the program is located outside the cluster management node device 150, and the processor is connected to the memory through a circuit/wire for reading and executing the program stored in the memory.
The Processor 152 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP.
The processor 152 may further include a hardware chip. The hardware chip may be an Application-Specific Integrated Circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a Field-Programmable Gate Array (FPGA), General Array Logic (GAL), or any combination thereof.
The Memory 151 may include a Volatile Memory (Volatile Memory), such as a Random-Access Memory (RAM); the Memory may also include a Non-volatile Memory (Non-volatile Memory), such as a Flash Memory (Flash Memory), a Hard Disk Drive (HDD) or a Solid-state Drive (SSD); the memory may also comprise a combination of memories of the kind described above.
Further, the present invention also provides a program product, for example, a computer-readable storage medium, the storage medium comprising: a computer program for performing the method of any of the embodiments of fig. 6, 7 when executed by a processor.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of modules is merely a division of logical functions, and an actual implementation may have another division, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware form, and can also be realized in a form of hardware and a software functional module.
Program code for implementing the methods of the present invention may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
Further, while operations are depicted in a particular order, this should be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single implementation. Conversely, various features that are described in the context of a single implementation can also be implemented in multiple implementations separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (7)
1. A data management method is applied to a terminal device, and comprises the following steps:
receiving a data processing flow change request sent by a user, wherein the data processing flow change request comprises a data processing flow identifier; the data processing flow change request is used for requesting to change the data processing flow, and the change data processing flow comprises at least one of the following items: adding a data processing flow, modifying the data processing flow and deleting the data processing flow;
displaying a data processing flow change interface to a user;
receiving a modified data processing flow input by a user through the modification interface, wherein the modified data processing flow is the same as a data format output after the data is processed by the corresponding data processing flow before modification;
acquiring data to be processed;
processing the data to be processed according to the changed data processing flow;
the processing the data to be processed according to the changed data processing flow specifically includes:
sending a data processing request to an upper layer of cluster management node equipment, so that the upper layer of cluster management node equipment acquires load information of terminal equipment controlled by the upper layer of cluster management node equipment according to the data processing request, distributes a computing task of the changed data processing flow to at least one other terminal equipment according to the load information, and acquires a computing result corresponding to the at least one other terminal equipment;
receiving a calculation result corresponding to the at least one terminal device sent by the previous layer of cluster management node device;
and summarizing the calculation result corresponding to the at least one terminal device to obtain the processing result corresponding to the changed data processing flow.
2. The method according to claim 1, wherein the acquiring the data to be processed specifically comprises:
and acquiring data to be processed from a certain cluster management node device or other terminal devices.
3. The method according to claim 1, wherein after processing the data to be processed according to the changed data processing flow, the method further comprises:
storing the processing result corresponding to the changed data processing flow locally;
sending the changed data processing flow and the terminal equipment identification to the previous layer of cluster management node equipment so that the previous layer of cluster management node equipment updates the data processing flow and stores the changed data processing flow and the terminal equipment identification in an associated manner;
and judging whether the processing result corresponding to the changed data processing flow meets a backup condition, if so, sending the processing result corresponding to the changed data processing flow to the previous layer of cluster management node equipment so as to enable the previous layer of cluster management node equipment to backup the processing result corresponding to the changed data processing flow.
4. An apparatus for managing data, comprising:
the first receiving module is used for receiving a data processing flow change request sent by a user, wherein the data processing flow change request comprises a data processing flow identifier; the data processing flow change request is used for requesting to change the data processing flow, and the change data processing flow comprises at least one of the following items: adding a data processing flow, modifying the data processing flow and deleting the data processing flow;
the display module is used for displaying a data processing flow change interface to a user;
the second receiving module is used for receiving the changed data processing flow input by the user through the change interface, and the changed data processing flow is the same as the data format output after the data is processed by the corresponding data processing flow before the change;
the acquisition module is used for acquiring data to be processed;
the processing module is used for processing the data to be processed according to the changed data processing flow; the processing module comprises: the sending submodule, the receiving submodule and the collecting submodule;
the sending submodule is configured to send a data processing request to an upper-layer cluster management node device, so that the upper-layer cluster management node device obtains load information of a terminal device controlled by the upper-layer cluster management node device according to the data processing request, distributes a calculation task of the changed data processing flow to at least one other terminal device according to the load information, and obtains a calculation result corresponding to the at least one other terminal device;
the receiving submodule is used for receiving a calculation result corresponding to at least one terminal device sent by the previous layer of cluster management node;
and the summarizing submodule is used for summarizing the calculation result corresponding to at least one terminal device so as to obtain the processing result corresponding to the changed data processing flow.
5. The apparatus of claim 4, further comprising: the device comprises a storage module, a sending module and a judging module;
the storage module is used for locally storing the processing result corresponding to the changed data processing flow;
the sending module is used for sending the changed data processing flow and the terminal equipment identification to the previous layer of cluster management node equipment so as to enable the previous layer of cluster management node equipment to update the data processing flow and carry out associated storage on the changed data processing flow and the terminal equipment identification;
the judging module is used for judging whether the processing result corresponding to the changed data processing flow meets the backup condition or not; accordingly, if the backup condition is satisfied,
the sending module is further configured to send the processing result corresponding to the changed data processing flow to the previous layer of cluster management node device, so that the previous layer of cluster management node device backs up the processing result corresponding to the changed data processing flow.
6. A terminal device, comprising:
a memory, a processor, and a computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method of any one of claims 1-3.
7. A computer-readable storage medium, having stored thereon a computer program for execution by a processor to perform the method of any one of claims 1-3.
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| CN111754204A (en) * | 2020-06-30 | 2020-10-09 | 北京来也网络科技有限公司 | Process grouping method, device, equipment and medium for RPA process execution end |
| CN112597210A (en) * | 2020-12-16 | 2021-04-02 | 中国建设银行股份有限公司 | Data summarizing method, device, equipment and storage medium |
| CN114531437B (en) * | 2022-02-14 | 2023-02-17 | 镁佳(北京)科技有限公司 | MQTT-based non-homologous uplink data processing method and device |
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