CN112115303A - Data processing method and device - Google Patents
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- CN112115303A CN112115303A CN202010911571.6A CN202010911571A CN112115303A CN 112115303 A CN112115303 A CN 112115303A CN 202010911571 A CN202010911571 A CN 202010911571A CN 112115303 A CN112115303 A CN 112115303A
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- G06F16/90—Details of database functions independent of the retrieved data types
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Abstract
The present disclosure relates to a data processing method and apparatus, and relates to the technical field of computers, wherein the data processing method includes: receiving request information sent by a user; determining a first target execution flow according to the target operation and the target resource; generating identification information corresponding to the target resource according to the target resource; calling a functional interface corresponding to the target resource according to the identification information of the target resource, and acquiring source information of the target resource in the target cloud platform; determining a second target execution flow of the source information; and executing the first target execution flow and the second target execution flow on the target resource to be processed, namely finishing the target operation on the target resource. Therefore, the cost of the user for learning the process of different target operations of different cloud merchants is reduced and the efficiency of the target operation of the target resource is improved only through simple operation of the user.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a data processing method and apparatus.
Background
In the related art, hybrid cloud management platforms and cloud management platforms on the market are numerous, and at present, resource operation pairs of each home public cloud and each private cloud are generally collected together, and characteristics and operation logics of each cloud business resource are reserved. Therefore, when different cloud merchant platforms are operated, a user needs to learn the operation logic of each cloud merchant platform and perform different operation logic for different cloud merchant platforms, so that the operation requirements of the user on the cloud merchant platforms are met.
In the related art, when a user operates the cloud merchant platforms of different merchants in the hybrid cloud management platform, the user needs to learn the operation logic of each cloud merchant platform, and the learning cost of the user is increased. The operation of the user on the cloud service platform is complex, the operation time of the user on different cloud service platforms is prolonged, and therefore the use experience of the user is influenced.
Disclosure of Invention
The present disclosure provides a data processing method, device, and system, to at least solve the problem in the related art that when operating a cloud merchant in a hybrid cloud management platform, a user needs to learn operation logic for multiple cloud merchant platforms, which increases the learning cost of the user. The technical scheme of the disclosure is as follows:
according to a first aspect of the embodiments of the present disclosure, there is provided a data processing method, including:
receiving request information sent by a user; the request information comprises target resources to be processed and target operations of the target resources; determining a first target execution process corresponding to the target operation and the target resource according to the target operation and the target resource, wherein the target resource and the target operation both have a corresponding relation with the first target execution process; generating identification information corresponding to the target resource according to the target resource; calling a functional interface corresponding to the target resource according to the identification information of the target resource, and acquiring source information of the target resource in a target cloud platform, wherein the identification information and the source information have a corresponding relation; determining a second target execution flow of the source information; and executing the first target execution flow and the second target execution flow on the target resource to finish the target operation on the target resource.
Optionally, the step of calling a functional interface corresponding to the target resource according to the identification information of the target resource, and acquiring source information of the target resource in the target cloud platform corresponding to the identification information includes:
determining the attribute of the target resource and the operation information of the target operation; determining a called functional interface corresponding to the attribute of the target resource and the operation information of the target operation according to the attribute of the target resource and the operation information of the target operation; and calling the functional interface to inquire the corresponding relation between the identification information and the source information according to the identification information of the target resource, and acquiring the source information of the target resource in the target cloud platform, which corresponds to the identification information.
Optionally, before the step of receiving a request instruction issued by a user, the method further includes: integrating the resources of the multiple cloud platforms according to the attributes of the resources and the operation on the resources; and calling a Software Development Kit (SDK) and respectively creating the integrated resources with the same attribute and the functional interfaces corresponding to the same operation on the resources with the same attribute.
Optionally, after the step of executing the first target execution flow and the second target execution flow on the target resource, the method further includes: calling a Software Development Kit (SDK), and acquiring first resource information of a process result of a second target execution process in a target platform from the target cloud platform; and calling the synchronization component to store the first resource information to a local database.
Optionally, the synchronization component includes a first synchronization component and at least two second synchronization components, and the invoking synchronization component stores the first resource information in a local database, including:
calling the first synchronization assembly to monitor the condition that each second synchronization assembly runs the synchronization operation; when the first synchronization assembly monitors that at least one second synchronization assembly fails to run synchronization operation, scheduling the synchronization operation corresponding to the second synchronization assembly which fails to run synchronization operation to a second synchronization assembly which normally works; and storing the first resource information to the local database through the first synchronization component and the second synchronization component which works normally.
Optionally, each synchronization component includes a scheduler, and the first synchronization component is determined by:
determining a first scheduler from each of said schedulers; the first scheduling program monitors the condition that a second scheduling program except the first scheduling program runs synchronous jobs; and determining the synchronous component corresponding to the first scheduler as the first synchronous component.
Optionally, each of the synchronization components further includes a synchronization work thread; the calling synchronization component stores the first resource information to a local database, and further comprises: and under the condition that the first scheduling program monitors that the synchronous working thread of at least one synchronous component fails to run synchronous operation, the synchronous operation is redistributed to the synchronous working thread in a normal working state.
Optionally, the structure of the first target execution flow includes at least one of: the method comprises the steps of identifying a process of a first target execution process, determining a process name of the first target execution process according to request information, determining an environment of the first target execution process, a user corresponding to the first target execution process, and identifying a state of the first target execution process or a parent process of the first target execution process.
Optionally, the first target execution flow includes at least one step, and the structure of the at least one step includes at least one of: step identification of the step, and process identification of a first target execution process to which the step belongs; approval person information and approval information of the approval steps, execution states of the steps, step environments of the steps, running sequence identification of the steps, function entries corresponding to the steps or execution results of the steps.
Optionally, determining approval information in the step of the first target execution process; and under the condition that the approval information indicates that approval is passed, the first target execution process and the second target execution process are executed on the target resource to approve the steps of the execution processes, so that the feasibility of the execution processes can be improved.
According to a second aspect of the embodiments of the present disclosure, there is provided a data processing apparatus including:
a receiving module configured to perform: receiving request information sent by a user; the request information comprises target resources to be processed and target operations of the target resources; a first determination module configured to perform: determining a first target execution process corresponding to the target operation and the target resource according to the target operation and the target resource, wherein the target resource and the target operation both have a corresponding relation with the first target execution process; a generation module configured to perform: generating identification information corresponding to the target resource according to the target resource; a calling module configured to perform: calling a functional interface corresponding to the target resource according to the identification information of the target resource, and acquiring source information of the target resource in a target cloud platform, wherein the identification information and the source information have a corresponding relation; a second determination module configured to perform: determining a second target execution flow of the source information; an execution module configured to perform: and executing the first target execution flow and the second target execution flow on the target resource to finish the target operation on the target resource.
Optionally, the data processing apparatus is a terminal device or a server.
Optionally, the calling module is specifically configured to execute:
determining the attribute of the target resource and the operation information of the target operation;
determining a called functional interface corresponding to the attribute of the target resource and the operation information of the target operation according to the attribute of the target resource and the operation information of the target operation;
and calling the functional interface to inquire the corresponding relation between the identification information and the source information according to the identification information of the target resource, and acquiring the source information of the target resource in the target cloud platform, which corresponds to the identification information.
Optionally, the data processing apparatus further includes: an integration module configured to perform:
before the receiving module receives a request instruction sent by a user, integrating the resources of a plurality of cloud platforms according to the attributes of the resources and the operation on the resources;
a creation module configured to perform:
calling a Software Development Kit (SDK) and respectively creating resources with the same attribute after integration and functional interfaces corresponding to the same operation on the resources with the same attribute; wherein the software development kit SDK comprises at least one of the functional interfaces.
Optionally, the data processing apparatus further includes: an acquisition module configured to perform:
after the execution module executes the first target execution flow and the second target execution flow on the target resource, calling a Software Development Kit (SDK), and acquiring first resource information of a flow result of the second target execution flow in the target platform from the target cloud platform;
a storage module configured to perform:
and calling a synchronization component to store the first resource information to a local database.
Optionally, the synchronization component includes a first synchronization component and at least two second synchronization components, and the storage module is specifically configured to execute:
calling the first synchronization assembly to monitor the operation condition of the running synchronization of each second synchronization assembly;
when the first synchronization assembly monitors that at least one second synchronization assembly fails to run synchronization operation, scheduling the synchronization operation corresponding to the second synchronization assembly which fails to run synchronization operation to a second synchronization assembly which normally works;
and storing the first resource information to the local database through the first synchronization component and the second synchronization component which works normally.
Optionally, each of the synchronization components includes a scheduler, and the first synchronization component is determined by:
determining a first scheduler from each of said schedulers; the first scheduling program monitors the condition that a second scheduling program except the first scheduling program runs synchronous jobs;
and determining the synchronous component corresponding to the first scheduler as the first synchronous component.
Optionally, each of the synchronization components further includes a synchronization work thread; the storage module is further configured to perform:
and under the condition that the first scheduling program monitors that the synchronous working thread of at least one synchronous component fails to run synchronous operation, the operation is redistributed to the synchronous working thread in a normal working state.
Optionally, the structure of the execution flow includes at least one of: the process identifier of the first target execution process, the process name of the first target execution process determined according to the request information, the environment of the first target execution process, the user corresponding to the first target execution process, the state of the first target execution process, or the parent process identifier of the first target execution process.
Optionally, the first target execution flow includes at least one step, and the structure of the at least one step includes at least one of: step identification of the step and process identification of a first target execution process to which the step belongs; examining and approving the information of the examining and approving person of the step, the first execution state of the step, the step environment of the step, the name of the step, the running sequence identification of the step, the function entry corresponding to the step or the execution result of the step.
Optionally, the execution module is specifically configured to execute:
determining the approval information in the step of the first target execution flow;
and executing the first target execution process and the second target execution process on the target resource under the condition that the approval information indicates that approval is passed.
According to a third aspect of the embodiments of the present disclosure, there is provided a data processing apparatus including: a processor, a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement the data processing method as provided in the first aspect above.
Optionally, the data processing apparatus specifically includes: a terminal device or a server.
According to a fourth aspect of embodiments of the present disclosure, there is provided a storage medium having instructions that, when executed by a processor of a data processing apparatus, enable the data processing apparatus to perform the data processing method according to any one of the first aspects described above.
According to a fifth aspect of embodiments of the present disclosure, there is provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the data processing method as any one of the optional methods of the first aspect described above.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects: receiving request information sent by a user; the request information comprises target resources to be processed and target operations of the target resources; determining a first target execution flow according to the target operation and the target resource, wherein the target resource and the target operation have a corresponding relation with the first target execution flow; generating identification information corresponding to the target resource according to the target resource; calling a functional interface corresponding to a target resource according to identification information of the target resource, and acquiring source information of the target resource in a target cloud platform, wherein the identification information and the source information have a corresponding relation; determining a second target execution flow of the source information; and executing the first target execution flow and the second target execution flow on the target resource to finish the target operation on the target resource. The process is executed based on the first target of the target operation on the target resource and the target resource to ensure feasibility of the target operation on the target resource. And calling a corresponding functional interface of the target resource to determine source information from the target cloud platform, generating a second target execution flow based on the source information, and executing the first target execution flow and the second target execution flow, so that target operation on the target resource can be completed. The target operation on the target resource can be realized directly through the functional interface corresponding to the target resource without the step-by-step execution of the target cloud platform by the user to achieve the result of the target operation. Therefore, the cost of the user for learning the process of different target operations of different cloud merchants is reduced and the efficiency of the target operation of the target resource is improved only through simple operation of the user.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure and are not to be construed as limiting the disclosure.
FIG. 1 is a schematic diagram of an implementation environment, shown in accordance with an exemplary embodiment;
FIG. 2 is a flow diagram illustrating a method of data processing in accordance with an exemplary embodiment;
FIG. 3 is an architectural design diagram illustrating a method of data processing in accordance with an exemplary embodiment;
FIG. 4 is one of the block diagrams of a data processing apparatus according to an exemplary embodiment;
fig. 5 is a second schematic diagram of a data processing apparatus according to an exemplary embodiment.
Detailed Description
In order to make the technical solutions of the present disclosure better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings 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 is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
First, a brief description is given of an application scenario related to an embodiment of the present disclosure.
The data processing method provided by the embodiment of the disclosure can be applied to a scene that a user needs to process data. The user selects a target resource to be processed, determines a first target execution flow directly according to the target resource and target operation on the target resource, determines a source resource corresponding to the target resource according to the target resource, and determines a second target execution flow of the source resource. And completing the target operation on the target resource according to the first target execution flow and the second target execution flow. The user does not need to operate step by step in the target cloud platform to complete the target operation on the target resource, and the target operation on the target resource can be realized only by inputting the target resource. The steps of target operation on the target resources are greatly simplified, the learning cost of the user is reduced, and the user experience is improved.
Next, a brief description will be given of an implementation environment related to the embodiments of the present disclosure.
Fig. 1 is a schematic diagram of an implementation environment provided in the embodiment of the present disclosure. The implementation environment can comprise: a hybrid cloud management platform 11 and a plurality of cloud platforms 12.
The hybrid cloud management platform 11 and the cloud platforms 12 are respectively connected in a wired or wireless manner to establish a communication connection. The hybrid cloud management platform 11 may be a terminal device or a server, and the target cloud platform 12 may also be a terminal device or a server. Of course, the actual forms of the hybrid cloud management platform 11 and the target cloud platform 12 are not particularly limited in the embodiments of the present disclosure.
For example, when the hybrid cloud management platform 11 or the target cloud platform 12 is a server, the hybrid cloud management platform may be one server, or may also be a server cluster composed of a plurality of servers, which is not limited in this disclosure.
When the hybrid cloud management platform 11 or the target cloud platform 12 in the embodiment of the present disclosure is a terminal device, the terminal device may be a mobile phone, a tablet computer, a desktop, a laptop, a handheld computer, a notebook, an ultra-mobile personal computer (UMPC), a netbook, a device capable of performing data processing, such as a cellular phone, a Personal Digital Assistant (PDA), an Augmented Reality (AR), a Virtual Reality (VR) device, and the like.
The cloud platform can provide cloud resources of cloud computing, cloud storage and other services for users or enterprises, and can include public clouds or private clouds, and the users can select to deploy the public clouds or the private clouds according to business needs. The user can use the cloud storage service provided by the cloud platform, upload local resources to the cloud end provided by the cloud platform, and connect to the internet at any place to acquire the resources on the cloud platform, or perform operations such as updating and deleting on the resources on the cloud platform. The cloud platform may also provide a storage container service, a backup service, an archive service, a record management service, and the like to the user, and this disclosure is not particularly limited. The hybrid cloud management platform 11 can perform corresponding processing on resources stored on the cloud platform according to a request of a user, and can provide a uniform interface for the outside (for example, the user) by integrating the resources on different cloud platforms, and provide different functional interfaces corresponding to resource operations of different cloud platforms inside, and can call the corresponding functional interfaces according to different instructions input by the user, thereby realizing the processing of the resources on different cloud platforms, and because the uniform input interface is provided for the user, the purpose of simplifying the user operation for the resource operations on different cloud platforms can be achieved.
In the related art, when processing resources of different cloud platforms, a user is required to learn related execution logic and rules in the different cloud platforms. In order to solve the above problem, embodiments of the present disclosure provide a data processing method to reduce the learning cost of a user.
Next, a data processing method provided by an embodiment of the present disclosure will be described in detail with reference to the accompanying drawings.
Fig. 2 is a flowchart illustrating a data processing method according to an exemplary embodiment, and as shown in fig. 2, the data processing method may be applied to the hybrid cloud management platform 11 shown in fig. 1 (in this embodiment, the hybrid cloud management platform 11 is taken as an example for illustration, but this does not limit the method of the present disclosure), and may include the following steps.
In step S21, request information transmitted by the user is received.
The request information may include a target resource to be processed and a target operation on the target resource.
The resources may be electronic data that is expressed or propagated through one or more media in a computer system, and the resources may be represented as a structured codestream that is then transformed, reassembled, and analyzed for further storage, transmission, export, and interactive control. According to different expression media of resource usage, the resource can include character resource, picture resource, video resource, voice resource (including music, voice, special sound effect, etc.), animation resource, account resource, etc. The present disclosure is not so limited.
The target resource is a resource to be processed input by the user, and may be, for example, a picture, a video, text, an account number, or the like.
The operation refers to a processing means for the resource, and the purpose of corresponding storage, update, deletion, transmission, output or interactive control can be generated by different operations for the resource, for example, the operation may include a deletion operation, an addition operation or a change operation.
The target operation is the operation corresponding to the target video input by the user.
The user may input the request message to the hybrid cloud management platform 11 in various forms, and the disclosure is not limited in any way. For example, the hybrid cloud management platform 11 may be provided with an input interface, and the user may add the resource and the operation on the resource in the corresponding input interface, and determine the added resource and the operation on the resource as the request information sent by the user.
Or after the user inputs the target resource to be processed on the input interface, the target operation can be input through voice or preset operation. For example: the method comprises the following steps of changing the picture, destroying the account, deleting the picture and the like. The input can be performed in a voice mode, and the input can also be performed through preset gestures such as double-click, long-press, upward-sliding and downward-sliding. The specific configuration may be set as needed, and the present disclosure is not particularly limited.
After receiving the request information of the user, the hybrid cloud management platform can determine the target resource and the target operation on the resource contained in the request information.
It should be noted that, for the operation of the resources of different cloud platforms, the manner of inputting information by the user may be the same, that is, for the user, the input interface opened to the user is uniform regardless of which cloud platform the resource corresponds to. For example, for a scene in which the first picture is uploaded to the cloud platform a, or a scene in which the first picture is uploaded to the cloud platform B, the input information of the user is the first picture and the uploading operation.
In step S22, a first target execution flow corresponding to the target operation and the target resource is determined according to the target operation and the target resource.
The first execution process is an approval process of the operation on the resource, and whether the operation on the resource is reasonable or not can be judged through the first execution process. The first execution flow has a corresponding relation with the resource and the operation, and different operations of different resources correspond to different first execution flows. For example: when applying for account information, the first execution flow may include determining whether a user needs to apply for account information, an application for account information, whether characteristics of a cloud platform corresponding to the account information are met, and the like, and applying for the account information to construct the execution flow based on the approval of the application for the account information and whether the characteristics of the cloud platform corresponding to the account information are met.
The first target execution flow is one of the first execution flows, and the corresponding relation can be inquired through the target operation and the target resource, so that the first target execution flow corresponding to the target resource and the target operation is obtained.
For example, the first execution flow may be pre-arranged according to the resource and the operation on the resource, and stored in the hybrid cloud management platform. Illustratively, the first execution flow includes, but is not limited to, the following: the method comprises an execution flow of deleting the picture, an execution flow of deleting the account number, an execution flow of applying for the account number, an execution flow of changing the account number or an execution flow of changing the picture and the like.
For the pre-arrangement of the first execution flow, the first execution flow can be constructed through the attribute of the resource and the operation mode of the resource.
For example: in the hybrid cloud management platform, for the application of the account, a first execution flow is arranged based on the application operation of the resource with the attribute as the account. The first execution flow may specifically include an approval of the account resources and an application operation for the account resources. For example: the hybrid cloud management platform firstly needs to examine and approve the resources required to be applied through a first execution process, and examine and approve information such as feasibility, authority and the like of the resources required to be applied.
The structure of the first execution flow may include at least one of: the flow identification of the first execution flow, the flow name of the first execution flow, the environment of the first execution flow, the user corresponding to the first execution flow, the state of the first execution flow or the parent flow identification of the first execution flow are determined according to the request information.
The identification of the first execution flow is a unique identification of the first execution flow, and the flow name of the first execution flow is used for the piece count and the flow content, and is generated by the system according to the request information. The user corresponding to the first execution flow is used to identify who initiated the flow. And the environment of the first execution flow is used for storing the context variable of the first execution flow. The type of the first execution flow identifies a category of the first execution flow. The parent flow identification of the first execution flow is used to identify which execution flow the flow is derived from.
The first execution flow may include at least one step, and the structure of the at least one step includes at least one of: step identification of the step, and flow identification of a first execution flow to which the step belongs; approval person information and approval information of the approval steps, execution states of the steps, step environments of the steps, running sequence identification of the steps, function entries corresponding to the steps or execution results of the steps.
The step identification is a unique step identification. The name of the step is used for describing the content of the current step. The step environment of the step is used for storing context variables of the current step, including upstream parameters and the like. And the approver information of the approval step is used for indicating that the current step needs to be approved and corresponds to the approver information. And identifying the running sequence of the step, and identifying the running sequence of the current step. And identifying the function entry corresponding to the current step. And the execution result of the step is used for storing the execution result of the current step.
In the process of executing the first target execution flow, when an approval step exists in the first target execution flow, the request information sent by the user may be approved in a manual manner. For example: when a user initiates a resource application process, the system automatically limits the authority and project of the resource application or checks the resource, and artificially approves the rationality of the resource application. And executing the subsequent steps of the first target execution flow after the resource application is passed.
In step S23, identification information corresponding to the target resource is generated from the target resource.
The identification information is a serial number or an account number. The relatively unique code in a certain system is equivalent to an 'identity card', and in a cloud mixed management platform, identification information corresponding to resources is unchanged and is used for identifying the corresponding resources.
When request information initiated by a user is received, the hybrid cloud management platform directly and automatically generates identification information for target resources to be processed in the request information.
In step S24, according to the identification information of the target resource, a functional interface corresponding to the target resource is called, and source information of the target resource in the target cloud platform corresponding to the identification information is acquired.
Wherein, the identification information and the source information have a corresponding relation.
The source information refers to information transmitted through a certain substance, i.e. the origin/source of the information. Is a device or raw media that provides some desired data.
For example, the source information corresponding to the target resource may be determined by the identification information. The source information and the identification information have a corresponding relationship, and the source information corresponding to the target resource can be found through the identification information of the target resource similarly to the situation that a file can be found in a file system by specifying a file name.
For example: the pictures correspond to a target cloud platform for storing the pictures, pictures stored based on what account number, positions stored in the target cloud platform and the like.
In one example, when the target resource is picture information, the target operation of the request information sent by the user is: and modifying the picture information. The method comprises the steps of generating first identification information of picture information according to the picture information input by a user, calling a Software Development Kit (SDK) in a hybrid flat management platform based on the first identification information, receiving the first identification information of the picture information by the SDK, calling a functional interface corresponding to the picture information modification, and obtaining source information corresponding to the picture information from a target cloud platform according to the first identification information, wherein the source information is the target cloud platform to which the picture belongs, and account information used by the picture and the region of the picture on the target cloud platform are located.
In another example, when the target resource is account information, the target operation of the request information sent by the user is: the account is destroyed. The method comprises the steps of generating second identification information corresponding to account information according to the account information input by a user, sending the second identification information to a Software Development Kit (SDK), receiving the second identification information of the account information by the SDK, calling a functional interface for destroying the account information, and obtaining source information corresponding to the account information from a target cloud platform according to the second identification information. The source information is a target cloud platform to which the account belongs, and the account is in the region of the target cloud platform.
One implementation for step S24 may be:
determining the attribute of the target resource and the operation information of the target operation; determining a called functional interface corresponding to the attribute of the target resource and the operation information of the target operation according to the attribute of the target resource and the operation information of the target operation; and calling a functional interface to inquire the corresponding relation between the identification information and the source information according to the identification information of the target resource, and acquiring the source information of the target resource to be processed in the target cloud platform, which corresponds to the identification information.
Attributes of a resource include, but are not limited to, any of: numeric type, text type, table, voice type.
The operation information corresponding to the operation is actually characterized as the purpose of the resource, such as: deleting resources, applying for resources, changing resources, and the like.
And determining the called functional interface according to the attribute of the resource and the operator information of the operation. The hybrid flat management platform integrates resources in different cloud platforms, and the resources in different cloud platforms are gathered together, and have different attributes. Determining resources with the same attributes in different cloud platforms, for example: and if the attribute of the resource A is a picture, the attribute of the resource B is a table and the attribute of the resource C is a picture, the attributes of the resource A and the resource C are the same, and the resource A and the resource B are determined. And then, according to the operation on the resources, creating functional interfaces for different operations on the resources with the same attribute. For example: and modifying the resource with the attribute of the picture, and creating a first functional interface of the picture resource. And deleting the resource with the attribute of the table, and creating a second functional interface of the resource. And deleting the resources with the attributes of the pictures, and then creating a third functional structure of the picture resources. The first functional interface is a picture resource modification interface, the second functional structure is a table resource deletion interface, and the third functional structure is a picture resource deletion interface.
It should be noted that the functional interfaces are software development kit SDKs that are constructed in advance according to the attribute of the resource and the operation information of the operation, and at least one constructed functional interface is set in the hybrid cloud management platform.
Software Development Kit (SDK) is generally a collection of Development tools used by some Software engineers to build application Software for a particular Software package, Software framework, hardware platform, operating system, etc. A software development kit is a collection of development tools used by software engineers to create application software for a specific software package, software framework, hardware platform, operating system, etc., and in general, a software development kit SDK is a software development kit SDK used for developing application programs on a Windows platform. It may simply be a file that provides an application program interface API for a certain programming language, but may also include complex hardware that can communicate with a certain embedded system. Typical tools include utility tools for debugging and other purposes. Software development kit SDKs also often include example code, supporting technical notes, or other supporting documentation to clarify suspicions for basic reference.
When the hybrid cloud platform management system receives a target resource and a target operation on the target resource, determining an attribute corresponding to the target resource, determining operation information of the target operation on the target resource, matching the attribute corresponding to the target resource and the operation information corresponding to the target operation, and matching the attribute corresponding to the target resource and the operation information corresponding to the target operation with resource attributes and operation information corresponding to each function interface in a Software Development Kit (SDK), and determining a function interface which is successfully matched, namely the function interface for performing the target operation on the target resource.
And performing data interaction with the target cloud platform through the functional interface for performing target operation on the target resource, so that the source information corresponding to the identification information of the target resource is searched in the target cloud platform according to the identification information of the target resource. And sending the source information to the hybrid cloud management platform according to the functional interface for carrying out target operation on the target resource.
In step S25, a second target execution flow of the source information is determined.
And the SDK of the software development kit of the hybrid cloud management platform generates a second target execution flow corresponding to the source information according to the received source information. The execution flow corresponding to the source information is actually execution logic for operating the resource.
The execution flow corresponding to the source information is generated based on the actual operation on the resource. For example: destruction of the account number. Determining the source information of the account as follows: the account corresponds to the A cloud platform, and the position where the account is stored is located at the B position of the A cloud platform. The execution flow corresponding to the source information is to determine the cloud platform a, and destroy the account information according to the position B of the cloud platform a.
The execution flow of the source information is generated in real time according to the acquired source information.
In step S26, the first target execution flow and the second target execution flow are executed on the target resource, and the target operation on the target resource is completed.
And judging whether the reasonability of the target operation on the target resource accords with the rules of the platform or not according to the first target execution flow. And executing the second target execution flow to finish the target operation on the target resource. For example: when the account is destroyed by input, the first target execution process judges the feasibility and the rationality of the account destruction, and under the condition that the account is reasonably and feasibly destroyed, the second target execution process of the account destruction is executed, so that the account destruction is completed.
After the first target execution process and the second target execution process are executed on the target resource, data synchronization can be performed on the local databases of the target cloud platform and the hybrid cloud management platform, and the specific method is as follows:
calling a Software Development Kit (SDK), and acquiring first resource information of a process result of a second target execution process in a target platform from the target cloud platform; and calling the synchronization component to store the first resource information to a local database.
And when the second target execution flow is the modification of the resource, the first resource information of the execution result of the second target execution flow is the modified resource.
The following are exemplary: and after the second target execution process is finished, deleting or modifying the target data in the Ali cloud platform, and calling a synchronization component to store the first resource information into the local database for the consistency of the data of the target cloud platform and the local database of the hybrid cloud management platform.
In the case of deletion of the target resource, the local database is characterized as having the deletion target resource recorded therein. And acquiring the deleted target resource in the Ali cloud platform by calling the synchronization component, and recording the first target resource in a local database of the hybrid cloud management platform. The resources in the target cloud platform and the local database are synchronized, so that the change of the resources of the target cloud platform can be monitored in real time conveniently.
The synchronization component is a highly available and high-performance distributed coordination service, and can be used for service discovery, distributed locks, distributed leader election, configuration management and the like.
In the case of modifying the target resource, the modified resource is recorded in the local database, and the target resource in the local database is modified.
It should be noted that the local database includes one or more resources of the cloud platform.
Storing the first resource information to the local database for invoking the synchronization component may be accomplished by:
the synchronization assembly comprises a first synchronization assembly and at least two second synchronization assemblies, and the first synchronization assembly is called to monitor the operation condition of each second synchronization assembly; when the first synchronization assembly monitors that at least one second synchronization assembly fails to operate, scheduling the operation corresponding to the second synchronization assembly which fails to operate to the second synchronization assembly which normally operates; and storing the first resource information to a local database through the first synchronization component and the second synchronization component which works normally.
Only one actually working Leader exists at the same time in one synchronization cluster component, namely the first synchronization component, which can initiate and maintain heartbeat with the Follower and the Observer, all write operations must be completed through the first synchronization component, and then the first synchronization component broadcasts the write operations to other servers.
The synchronization component as a distributed coordination service needs the first synchronization component node to accept external requests and convert them into internal operations (such as creating, modifying, deleting nodes), and several operations that need to be executed atomically constitute a job, here denoted by T. The synchronization modules require ordered transactions and therefore each job is given a number less than the job number plus 1, assuming the first synchronization module is running n jobs, denoted T1, T2, T3 … Tn, to prevent a single point problem from causing job data loss, the first synchronization module will synchronize the failed job to the other second synchronization modules.
When the first synchronization component node runs short, a new first synchronization component is reselected.
Determining the first synchronization component is achieved by: each synchronization component includes a scheduler, the first synchronization component being determined by: determining a first scheduler from the schedulers; the method comprises the steps that a first scheduling program monitors the operation condition of a second schedule except for the first scheduling program; and determining the synchronous component corresponding to the first scheduler as the first synchronous component. Each synchronization component also comprises a worker; and under the condition that the first scheduling program monitors that the worker operation of at least one synchronous component fails, the operation is redistributed to the worker in a normal working state.
The determination of the first synchronization component is performed by detecting the scheduler in each synchronization component, each scheduler selecting a first scheduler from the first, the first scheduler being determined randomly. The purpose of the first scheduler is: and monitoring the working condition of the second schedule except the first scheduler. And determining the synchronous component corresponding to the first scheduler as the first synchronous component.
The disclosed operation includes synchronization of different resource types in different areas of different cloud platforms. The synchronous working thread monitors the job list belonging to the synchronous working thread, and checks the execution time to start executing the corresponding job.
Referring to FIG. 3, an architectural design diagram of a data processing method is shown in accordance with an exemplary embodiment. And the application programming interface receives the request information sent by the user, generates identification information of the target resource according to the target resource of the request information, and sends the identification information to the software development kit SDK. And the workflow engine determines a first target execution flow of the target resource and the target operation according to the target resource and the target operation on the target resource in the request information sent by the user, and executes the first target execution flow. And the SDK calls a functional interface corresponding to the target resource according to the identification information to acquire source information of the target resource to be processed in the target cloud platform, wherein the source information corresponds to the identification information. And the SDK determines a second target execution flow of the source information and executes the second target execution flow so as to complete the target operation on the target resource. The local database is used for synchronizing the resources of the target cloud platform.
FIG. 4 is a block diagram illustrating a data processing apparatus according to an example embodiment. Referring to fig. 4, the apparatus includes a receiving module 41, a first determining module 42, a generating module 43, a calling module 44, a second determining module 45, and an executing module 46.
The receiving module 41 is configured to perform receiving request information sent by a user; the request information comprises target resources to be processed and target operations of the target resources;
the first determining module 42 is configured to execute a first target execution process according to a target operation and the target resource, where the target operation and the target resource have a corresponding relationship with the first target execution process;
the generating module 43 is configured to execute to generate identification information corresponding to the target resource according to the target resource;
the calling module 44 is configured to execute calling a functional interface corresponding to the target resource according to the identification information of the target resource, and obtaining source information of the target resource in the target cloud platform, where the identification information and the source information have a corresponding relationship;
the second determining module 45 is configured to execute a second target execution procedure for determining the source information;
the execution module 46 is configured to execute the first target execution flow and the second target execution flow on the target resource to complete the target operation on the target resource.
Optionally, the invoking module 44 is specifically configured to perform:
determining the attribute of the target resource and the operation information of the target operation; determining a called functional interface corresponding to the attribute of the target resource and the operation information of the target operation according to the attribute of the target resource and the operation information of the target operation; and calling the functional interface according to the identification information of the target resource, inquiring the corresponding relation between the identification information and the source information, and acquiring the source information of the target resource in the target cloud platform, which corresponds to the identification information.
Optionally, the structure for executing the flow includes at least one of: the flow identification of the first execution flow, the flow name of the first execution flow, the environment of the first execution flow, the user corresponding to the first execution flow, the state of the first execution flow or the parent flow identification of the first execution flow are determined according to the request information.
Optionally, the first execution flow includes at least one step, and the structure of the at least one step includes at least one of: step identification of the step, and flow identification of a first execution flow to which the step belongs; examining and approving information and examining and approving information of the steps, a first execution state of the steps, step environments of the steps, names of the steps, running sequence identification of the steps, and function entries corresponding to the steps or execution results of the steps.
Optionally, the execution module 46 is specifically configured to execute: determining the approval information in the step of the first target execution flow; and executing the first target execution process and the second target execution process on the target resource under the condition that the approval information indicates that approval is passed.
Optionally, with reference to fig. 4, as shown in fig. 5, the data processing apparatus provided in the embodiment of the present disclosure further includes an integrating module 47, a creating module 48, an obtaining module 49, and a storing module 410.
The integration module configured to perform:
before the receiving module 41 receives a request instruction sent by a user, integrating resources of a plurality of cloud platforms according to attributes of the resources and operations on the resources;
the creating module is configured to execute calling of a Software Development Kit (SDK) and create the integrated resources with the same attribute and the functional interfaces corresponding to the same operation on the resources with the same attribute respectively; wherein the software development kit SDK comprises at least one of the functional interfaces.
The obtaining module 49 is configured to perform:
after the execution module 46 executes the first target execution flow and the second target execution flow on the target resource, calling a software development kit SDK, and acquiring first resource information of a flow result of the second target execution flow in the target platform from the target cloud platform;
the storing module 410 is configured to execute the call synchronization component to store the first resource information to a local database.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
In an exemplary embodiment, a storage medium comprising instructions, such as the memory 804 comprising instructions, executable by the processor 820 of the apparatus 800 to perform the method described above is also provided. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
In another embodiment of the present disclosure, there is also provided a computer program product comprising computer executable instructions stored in a computer readable storage medium. The processor of the data processing apparatus may read the computer executable instructions from the computer readable storage medium, and the processor executes the computer executable instructions to cause the data processing apparatus to perform the data processing method of the embodiment shown in fig. 2.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method of data processing, the method comprising:
receiving request information sent by a user; the request information comprises target resources to be processed and target operations of the target resources;
determining a first target execution process corresponding to the target operation and the target resource according to the target operation and the target resource, wherein the target resource and the target operation both have a corresponding relation with the first target execution process;
generating identification information corresponding to the target resource according to the target resource;
calling a functional interface corresponding to the target resource according to the identification information of the target resource, and acquiring source information of the target resource in a target cloud platform, wherein the identification information and the source information have a corresponding relation;
determining a second target execution flow of the source information;
and executing the first target execution flow and the second target execution flow on the target resource to finish the target operation on the target resource.
2. The data processing method according to claim 1, wherein the step of calling a functional interface corresponding to the target resource according to the identification information of the target resource to obtain source information of the target resource in the target cloud platform corresponding to the identification information comprises:
determining the attribute of the target resource and the operation information of the target operation;
determining a called functional interface corresponding to the attribute of the target resource and the operation information of the target operation according to the attribute of the target resource and the operation information of the target operation;
and calling the functional interface to inquire the corresponding relation between the identification information and the source information according to the identification information of the target resource, and acquiring the source information of the target resource in the target cloud platform, which corresponds to the identification information.
3. The data processing method of claim 1, wherein prior to the step of receiving a request instruction from a user, the method further comprises:
integrating the resources of the plurality of cloud platforms according to the attributes of the resources and the operation on the resources;
calling a Software Development Kit (SDK) and respectively creating resources with the same attribute after integration and functional interfaces corresponding to the same operation on the resources with the same attribute; wherein the software development kit SDK comprises at least one of the functional interfaces.
4. The data processing method of claim 1, wherein after the step of executing the first target execution flow and the second target execution flow on the target resource, the method further comprises:
calling a Software Development Kit (SDK), and acquiring first resource information of a process result of the second target execution process in the target platform from the target cloud platform;
and calling a synchronization component to store the first resource information to a local database.
5. The data processing method of claim 4, wherein the synchronization component comprises a first synchronization component and at least two second synchronization components, and the invoking synchronization component stores the first resource information in a local database, comprising:
calling the first synchronization assembly to monitor the condition that each second synchronization assembly runs the synchronization operation;
when the first synchronization assembly monitors that at least one second synchronization assembly fails to run synchronization operation, scheduling the synchronization operation corresponding to the second synchronization assembly which fails to run synchronization operation to a second synchronization assembly which normally works;
and storing the first resource information to the local database through the first synchronization component and the second synchronization component which works normally.
6. The data processing method of claim 5, wherein each of the synchronization components comprises a scheduler, and wherein the first synchronization component is determined by:
determining a first scheduler from each of said schedulers; the first scheduling program monitors the condition that a second scheduling program except the first scheduling program runs synchronous jobs;
and determining the synchronous component corresponding to the first scheduler as the first synchronous component.
7. The data processing method of claim 6, wherein each of the synchronization components further comprises a synchronization worker thread; the calling synchronization component stores the first resource information to a local database, and further comprises:
and under the condition that the first scheduling program monitors that the synchronous working thread of at least one synchronous component fails to run synchronous operation, the synchronous operation is redistributed to the synchronous working thread in a normal working state.
8. A data processing apparatus, comprising:
a receiving module configured to perform:
receiving request information sent by a user; the request information comprises target resources to be processed and target operations of the target resources;
a first determination module configured to perform:
determining a first target execution process corresponding to the target operation and the target resource according to the target operation and the target resource, wherein the target resource and the target operation both have a corresponding relation with the first target execution process;
a generation module configured to perform:
generating identification information corresponding to the target resource according to the target resource;
a calling module configured to perform:
calling a functional interface corresponding to the target resource according to the identification information of the target resource, and acquiring source information of the target resource in a target cloud platform, wherein the identification information and the source information have a corresponding relation;
a second determination module configured to perform:
determining a second target execution flow of the source information;
an execution module configured to perform:
and executing the first target execution flow and the second target execution flow on the target resource to finish the target operation on the target resource.
9. A data processing apparatus, comprising: a processor, a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the data processing method of any one of claims 1-7.
10. A storage medium comprising instructions which, when executed by a processor of a data processing apparatus, enable the data processing apparatus to perform the data processing method of any one of claims 1 to 7.
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Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103092670A (en) * | 2011-11-02 | 2013-05-08 | 佳都新太科技股份有限公司 | Cross-platform virtual computing resource management method under cloud computing environment |
| CN105871963A (en) * | 2015-01-23 | 2016-08-17 | 中兴通讯股份有限公司 | Processing method and device of resource operation requesting |
| CN105956481A (en) * | 2015-09-17 | 2016-09-21 | 中国银联股份有限公司 | Data processing method and device |
| CN106506244A (en) * | 2016-12-20 | 2017-03-15 | 郑州云海信息技术有限公司 | A kind of unified supervision device of mixed cloud |
| CN107181808A (en) * | 2017-06-01 | 2017-09-19 | 安徽祥云科技有限公司 | A kind of privately owned cloud system and operation method |
| CN107193654A (en) * | 2017-05-12 | 2017-09-22 | 广州接入信息科技有限公司 | The resource operating methods and device of distributed system, distributed system |
| CN107659624A (en) * | 2017-09-06 | 2018-02-02 | 国云科技股份有限公司 | A kind of isomery cloud management system and method suitable for cloud computing |
| CN108076156A (en) * | 2017-12-27 | 2018-05-25 | 北京航空航天大学 | A kind of mixing cloud system based on Chinese cloud product |
| CN108449418A (en) * | 2018-03-29 | 2018-08-24 | 新华三云计算技术有限公司 | A kind of mixed cloud platform management system and method |
| CN109117235A (en) * | 2018-08-24 | 2019-01-01 | 腾讯科技（深圳）有限公司 | A kind of business data processing method, device and relevant device |
| CN109347676A (en) * | 2018-11-02 | 2019-02-15 | 杭州云霁科技有限公司 | A kind of isomery, integrated mixed cloud resource management platform |
| CN109885780A (en) * | 2019-02-14 | 2019-06-14 | 珠海天燕科技有限公司 | Data processing method and device |
| CN109981322A (en) * | 2017-12-28 | 2019-07-05 | 北京京东尚科信息技术有限公司 | The method and apparatus of cloud resource management based on label |
| CN110213092A (en) * | 2019-05-21 | 2019-09-06 | 深信服科技股份有限公司 | Resource access method, platform management equipment, storage medium and the device of mixed cloud |
| CN110322230A (en) * | 2019-07-08 | 2019-10-11 | 佛山市众联成云科技有限公司 | A kind of Workflow system docks specification implementation method with operation system |
| CN111224981A (en) * | 2019-12-31 | 2020-06-02 | 北京天融信网络安全技术有限公司 | Data processing method and device, electronic equipment and storage medium |
| CN111552471A (en) * | 2020-04-07 | 2020-08-18 | 电科云(北京)科技有限公司 | Task arrangement method and system under hybrid cloud environment |
-
2020
- 2020-09-02 CN CN202010911571.6A patent/CN112115303B/en active Active
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103092670A (en) * | 2011-11-02 | 2013-05-08 | 佳都新太科技股份有限公司 | Cross-platform virtual computing resource management method under cloud computing environment |
| CN105871963A (en) * | 2015-01-23 | 2016-08-17 | 中兴通讯股份有限公司 | Processing method and device of resource operation requesting |
| CN105956481A (en) * | 2015-09-17 | 2016-09-21 | 中国银联股份有限公司 | Data processing method and device |
| CN106506244A (en) * | 2016-12-20 | 2017-03-15 | 郑州云海信息技术有限公司 | A kind of unified supervision device of mixed cloud |
| CN107193654A (en) * | 2017-05-12 | 2017-09-22 | 广州接入信息科技有限公司 | The resource operating methods and device of distributed system, distributed system |
| CN107181808A (en) * | 2017-06-01 | 2017-09-19 | 安徽祥云科技有限公司 | A kind of privately owned cloud system and operation method |
| CN107659624A (en) * | 2017-09-06 | 2018-02-02 | 国云科技股份有限公司 | A kind of isomery cloud management system and method suitable for cloud computing |
| CN108076156A (en) * | 2017-12-27 | 2018-05-25 | 北京航空航天大学 | A kind of mixing cloud system based on Chinese cloud product |
| CN109981322A (en) * | 2017-12-28 | 2019-07-05 | 北京京东尚科信息技术有限公司 | The method and apparatus of cloud resource management based on label |
| CN108449418A (en) * | 2018-03-29 | 2018-08-24 | 新华三云计算技术有限公司 | A kind of mixed cloud platform management system and method |
| CN109117235A (en) * | 2018-08-24 | 2019-01-01 | 腾讯科技（深圳）有限公司 | A kind of business data processing method, device and relevant device |
| CN109347676A (en) * | 2018-11-02 | 2019-02-15 | 杭州云霁科技有限公司 | A kind of isomery, integrated mixed cloud resource management platform |
| CN109885780A (en) * | 2019-02-14 | 2019-06-14 | 珠海天燕科技有限公司 | Data processing method and device |
| CN110213092A (en) * | 2019-05-21 | 2019-09-06 | 深信服科技股份有限公司 | Resource access method, platform management equipment, storage medium and the device of mixed cloud |
| CN110322230A (en) * | 2019-07-08 | 2019-10-11 | 佛山市众联成云科技有限公司 | A kind of Workflow system docks specification implementation method with operation system |
| CN111224981A (en) * | 2019-12-31 | 2020-06-02 | 北京天融信网络安全技术有限公司 | Data processing method and device, electronic equipment and storage medium |
| CN111552471A (en) * | 2020-04-07 | 2020-08-18 | 电科云(北京)科技有限公司 | Task arrangement method and system under hybrid cloud environment |
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