CN111625262B - Rollback method, system, equipment and storage medium of workload resource - Google Patents
Rollback method, system, equipment and storage medium of workload resource Download PDFInfo
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- 238000004590 computer program Methods 0.000 claims description 9
- 238000005096 rolling process Methods 0.000 claims description 8
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Abstract
The application discloses a rollback method of workload resources, which comprises the following steps: after any parameter adjustment is performed on the target workload resource, saving parameter information of the target workload resource subjected to the parameter adjustment, and generating a version number corresponding to the target workload resource subjected to the parameter adjustment; when a rollback request aiming at a target workload resource is received, extracting stored parameter information corresponding to the version number carried in the rollback request based on the version number carried in the rollback request; based on the extracted parameter information, performing parameter rollback on the target workload resource; wherein the target workload resource is any one of any type of workload resource. By applying the scheme of the application, the rollback efficiency is improved, and the error probability in the rollback process is reduced. The application also provides a rollback system, equipment and a storage medium of the workload resource, which have corresponding effects.
Description
Technical Field
The present application relates to the field of cloud platform management technologies, and in particular, to a rollback method, system, device and storage medium for workload resources.
Background
In the cloud computing era, in order to adapt to complex and changeable business demands of users, upgrading and modifying of workload resources, particularly stateful load resources, are often required, and upgrading and modifying of parameters are often required. In practical application, when a worker upgrades and modifies parameters of a workload resource, unexpected situations are unavoidable, so that resource service is not available, and the workload resource needs to be rolled back, namely, the operation of parameter backfilling is performed, errors are easy to occur in the rolling back process, and the efficiency is low due to the fact that each parameter data needs to be rolled back one by one. Particularly for stateful load resources, the need for improved rollback efficiency is higher because the rollback operations are very frequent.
In summary, how to effectively roll back the workload resources, improve the roll-back efficiency, and reduce the occurrence probability of misoperation is a technical problem that needs to be solved by those skilled in the art.
Disclosure of Invention
The application aims to provide a rollback method, a system, equipment and a storage medium of workload resources, so as to improve rollback efficiency and reduce occurrence probability of misoperation.
In order to solve the technical problems, the application provides the following technical scheme:
a method of rollback of workload resources, comprising:
after any parameter adjustment is performed on a target workload resource, saving parameter information of the target workload resource after the parameter adjustment is performed, and generating a version number corresponding to the target workload resource after the parameter adjustment is performed;
when a rollback request aiming at the target workload resource is received, extracting stored parameter information corresponding to the version number carried in the rollback request based on the version number carried in the rollback request;
performing parameter rollback on the target workload resource based on the extracted parameter information;
wherein the target workload resource is any workload resource in any type of workload resource.
Preferably, after extracting the saved parameter information corresponding to the version number carried in the rollback request, the method further includes:
judging whether the extracted parameter information corresponding to the version number carried in the rollback request is supported by the current cloud platform or not;
if yes, executing the operation of parameter rollback on the target workload resource based on the extracted parameter information;
if not, stopping the rollback process and outputting the first prompt message.
Preferably, after generating the version number corresponding to the target workload resource after the parameter adjustment, the method further includes:
version description information corresponding to the target workload resource after parameter adjustment, version generation time, resource type, resource unique identification and current version mark information are recorded.
Preferably, the target workload resource is any one of stateful load resources.
Preferably, after parameter rollback is performed on the target workload resource, the method further comprises:
and outputting the second prompt information.
A rollback system for workload resources, comprising:
the version control module is used for storing the parameter information of the target workload resource after the parameter adjustment is carried out on the target workload resource for any time, and generating a version number corresponding to the target workload resource after the parameter adjustment is carried out;
the version selection module is used for extracting the saved parameter information corresponding to the version number carried in the rollback request based on the version number carried in the rollback request when the rollback request for the target workload resource is received;
the rollback execution module is used for performing parameter rollback on the target workload resource based on the extracted parameter information;
wherein the target workload resource is any workload resource in any type of workload resource.
Preferably, after extracting the saved parameter information corresponding to the version number carried in the rollback request, the method further includes:
the parameter verification module is used for judging whether the extracted parameter information corresponding to the version number carried in the rollback request is supported by the current cloud platform; if yes, triggering the rollback execution module; if not, stopping the rollback process and outputting the first prompt message.
Preferably, the method further comprises:
and the recording module is used for recording version description information, version generation time, resource type, resource unique identification and current version mark information corresponding to the target workload resource after parameter adjustment.
A rollback apparatus of workload resources, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the steps of the method of rollback of workload resources as claimed in any one of the preceding claims.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the method of rollback of workload resources of any of the preceding claims.
By applying the technical scheme provided by the embodiment of the application, after the target workload resource is subjected to parameter adjustment for any time, the parameter information of the target workload resource subjected to parameter adjustment is stored, and meanwhile, the version number corresponding to the target workload resource subjected to parameter adjustment is generated, so that when the rollback is required to be carried out subsequently, a user only needs to send a rollback request, and the cloud platform can extract the stored parameter information corresponding to the version number carried in the rollback request based on the version number carried in the rollback request, thereby carrying out parameter rollback on the target workload resource aimed by the rollback request.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an embodiment of a method for rolling back workload resources according to the present application;
FIG. 2 is a schematic diagram of a rollback system for workload resources according to the present application;
FIG. 3 is a schematic diagram of a rollback apparatus for workload resources according to the present application.
Detailed Description
The core of the application is to provide a rollback method of the workload resource, which is beneficial to improving the rollback efficiency and reducing the error probability in the rollback process.
In order to better understand the aspects of the present application, the present application will be described in further detail with reference to the accompanying drawings and detailed description. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, fig. 1 is a flowchart illustrating an implementation of a method for rolling back a workload resource according to the present application, where the method for rolling back a workload resource may include the following steps:
step S101: after any one parameter adjustment is performed on the target workload resource, saving the parameter information of the target workload resource after the parameter adjustment, and generating a version number corresponding to the target workload resource after the parameter adjustment.
In particular, the target workload resource described herein may be any one of any type of workload resource.
For example, any workload resource in the workload resource of the type of the stateful load resource may be used, and for example, any workload resource in the workload resource of the type of the stateless load resource may be used, or the type of the job resource may be used, which does not affect the implementation of the present application.
Of course, in practical applications, the rollback operation of the stateful load resource is very frequent, so the target workload resource described in the present application may be generally of the type of stateful load resource, i.e., the target workload resource may be any one of the stateful load resources.
The optional parameter adjustment for the target workload resource described in step S101 of the present application may be established for the initial parameter or may be updated for any subsequent parameter. For example, 10 stateful services are running in the cloud platform, and correspondingly, 10 stateful load resources are available, for example, one of the stateful load resources is denoted by a, and when a is established, lower parameter information is stored, for example, the stored parameter information is called C1, and a corresponding version number is generated, for example, called 001. Subsequent to an upgrade, for example, a, parameter information after the upgrade, for example, referred to as C2, is saved after the upgrade, and a corresponding version number, for example, referred to as 002, is generated. Then in this example, for a there are two versions, the first being 001, the version at the time of creation, 002 being the current version. Of course, for example, if 8 subsequent upgrade operations are performed, there are 10 versions for a, and each version has parameter information corresponding to the version and a corresponding version number.
This may be generally done on the basis of Controller Revision when saving parameter information. Controller Revision is a resource in the kubernetes bottom layer for listening to and recording statefulset, daemonSet version information, although in other embodiments, parameter information may be stored in other ways, as long as the purpose of the present application can be achieved, without affecting the implementation of the present application.
Step S102: and when a rollback request aiming at the target workload resource is received, extracting the saved parameter information corresponding to the version number carried in the rollback request based on the version number carried in the rollback request.
The rollback request needs to carry the version number and the number of the target workload resource, for example, in the foregoing example, 10 stateful services are totally run in the cloud platform, and then 10 stateful load resources are available, for example, the numbers are a, B and C … in sequence, and of course, other numbering manners may be available in actual situations, and each stateful load resource can be distinguished. The number of the target workload resource may also be generally referred to as the Lable Selector of the target workload resource.
For example, there are 10 versions of the stateful load resource a, the version numbers are 001 to 010 in turn, the current version number is 010, the user wishes to scroll back to the version corresponding to 006, the scroll request may include two information, a and 006, with a number a indicating which target workload resource the scroll request is directed to, and 006 indicating which version the user wishes to scroll back to.
Based on the version number carried in the rollback request, the previously stored parameter information corresponding to the version number carried in the rollback request can be extracted.
Step S103: and carrying out parameter rollback on the target workload resource based on the extracted parameter information.
After the extracted parameter information, the target workload resource can be subjected to parameter rollback, namely, the current parameter information is covered by the extracted parameter information.
Further, in a specific embodiment of the present application, after step S102, the method may further include:
judging whether the extracted parameter information corresponding to the version number carried in the rollback request is supported by the current cloud platform or not;
if yes, step S103 is performed;
if not, stopping the rollback process and outputting the first prompt message.
In such an embodiment, considering that the saving of the parameter information is generally achieved through Controller Revision, as the cloud platform operates, the present application discovers that the current environment of the cloud platform may not necessarily support rollback, that is, the parameter information saved before is not necessarily trusted.
Therefore, in this embodiment, it is determined whether the extracted parameter information corresponding to the version number carried in the rollback request is supported by the current cloud platform, that is, whether the dependency configuration of the parameter information corresponding to the version number carried in the rollback request exists, and of course, the specific item to be determined may be set according to the actual situation, for example, whether the pvc storage volume is occupied by other workloads or not.
If the extracted parameter information corresponding to the version number carried in the rollback request is judged not to be supported by the current cloud platform, the rollback process is stopped and the first prompt information is output. In the embodiment, whether the extracted parameter information is credible or not can be determined, rollback can be performed only when the parameter information is credible, rollback failure can be avoided or other abnormal conditions can be triggered, and the rollback is guaranteed to be performed correctly.
In a specific embodiment of the present application, after generating the version number corresponding to the target workload resource after the parameter adjustment in step S101, the method may further include:
version description information corresponding to the target workload resource after parameter adjustment, version generation time, resource type, resource unique identification and current version mark information are recorded.
In the embodiment, besides the generated version number, the version description information, the version generation time, the resource type, the unique resource identifier and the current version mark information of the target workload resource are also stored, so that a user can more accurately grasp the conditions of each version of the target workload resource, and further the user can be assisted in deciding which version to roll back.
The version description information may be an introduction of the target workload resource of the version, the type of the resource describes the type of the target workload resource, such as the stateful load resource, the stateless load resource and the like, the unique identifier of the resource is equivalent to the role, so that the retrieval is convenient, and the current version mark information is used for indicating whether the version of the current target workload resource is the version corresponding to the version record.
In a specific embodiment of the present application, after step S103, the method may further include: and outputting a second prompt message so that the staff timely notices the condition and knows that the rolling-back process is successfully completed.
By applying the technical scheme provided by the embodiment of the application, after the target workload resource is subjected to parameter adjustment for any time, the parameter information of the target workload resource subjected to parameter adjustment is stored, and meanwhile, the version number corresponding to the target workload resource subjected to parameter adjustment is generated, so that when the rollback is required to be carried out subsequently, a user only needs to send a rollback request, and the cloud platform can extract the stored parameter information corresponding to the version number carried in the rollback request based on the version number carried in the rollback request, thereby carrying out parameter rollback on the target workload resource aimed by the rollback request.
Corresponding to the above method embodiment, the embodiment of the application also provides a rollback system of the workload resource, which can be referred to above in a mutual correspondence manner.
Referring to fig. 2, a schematic structural diagram of a rollback system for workload resources according to the present application includes:
a version control module 201, configured to store parameter information of the target workload resource after performing parameter adjustment on the target workload resource for any one time, and generate a version number corresponding to the target workload resource after performing parameter adjustment;
the version selection module 202 is configured to extract, when a rollback request for a target workload resource is received, saved parameter information corresponding to a version number carried in the rollback request based on the version number carried in the rollback request;
the rollback execution module 203 is configured to perform parameter rollback on the target workload resource based on the extracted parameter information;
wherein the target workload resource is any one of any type of workload resource.
In one embodiment of the present application, the method further comprises:
the parameter verification module is configured to determine whether the extracted parameter information corresponding to the version number carried in the rollback request is supported by the current cloud platform after the version selection module 202 extracts the saved parameter information corresponding to the version number carried in the rollback request; if yes, triggering the rollback execution module 203; if not, stopping the rollback process and outputting the first prompt message.
In one embodiment of the present application, the method further comprises:
the recording module is used for recording version description information, version generation time, resource type, resource unique identification and current version mark information corresponding to the target workload resource after parameter adjustment.
In one embodiment of the present application, the target workload resource is any one of the stateful load resources.
In one embodiment of the present application, the method further comprises:
the prompting module is configured to output a second prompting message after the rollback execution module 203 performs parameter rollback on the target workload resource.
Corresponding to the above method and system embodiments, the embodiments of the present application further provide a rollback apparatus for workload resources and a computer readable storage medium, which may be referred to above in correspondence with each other. A computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the method for rollback of workload resources in any of the embodiments described above. The computer readable storage medium as described herein includes Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Referring to fig. 3, a schematic structural diagram of a rollback apparatus for workload resources according to the present application includes:
a memory 301 for storing a computer program;
a processor 302 for executing a computer program to implement the steps of the method of rolling back workload resources in any of the embodiments described above.
It is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application. The principles and embodiments of the present application have been described herein with reference to specific examples, but the description of the examples above is only for aiding in understanding the technical solution of the present application and its core ideas. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the application can be made without departing from the principles of the application and these modifications and adaptations are intended to be within the scope of the application as defined in the following claims.
Claims (8)
1. A method of rolling back workload resources, comprising:
after any parameter adjustment is performed on a target workload resource, saving parameter information of the target workload resource after the parameter adjustment is performed, and generating a version number corresponding to the target workload resource after the parameter adjustment is performed;
when a rollback request aiming at the target workload resource is received, extracting stored parameter information corresponding to the version number carried in the rollback request based on the version number carried in the rollback request;
performing parameter rollback on the target workload resource based on the extracted parameter information;
wherein the target workload resource is any workload resource in any type of workload resource;
after extracting the saved parameter information corresponding to the version number carried in the rollback request, the method further comprises the following steps:
judging whether the extracted parameter information corresponding to the version number carried in the rollback request is supported by the current cloud platform or not;
if yes, executing the operation of parameter rollback on the target workload resource based on the extracted parameter information;
if not, stopping the rollback process and outputting the first prompt message.
2. The method of rolling back workload resources according to claim 1, further comprising, after generating a version number corresponding to the target workload resource after the parameter adjustment has been made:
version description information corresponding to the target workload resource after parameter adjustment, version generation time, resource type, resource unique identification and current version mark information are recorded.
3. The method of rolling back workload resources according to claim 1, wherein the target workload resource is any one of stateful load resources.
4. A method of rollback of workload resources according to any of claims 1 to 3, further comprising, after parameter rollback of the target workload resource:
and outputting the second prompt information.
5. A rollback system for workload resources, comprising:
the version control module is used for storing the parameter information of the target workload resource after the parameter adjustment is carried out on the target workload resource for any time, and generating a version number corresponding to the target workload resource after the parameter adjustment is carried out;
the version selection module is used for extracting the saved parameter information corresponding to the version number carried in the rollback request based on the version number carried in the rollback request when the rollback request for the target workload resource is received;
the rollback execution module is used for performing parameter rollback on the target workload resource based on the extracted parameter information;
wherein the target workload resource is any workload resource in any type of workload resource;
after extracting the saved parameter information corresponding to the version number carried in the rollback request, the method further comprises the following steps:
the parameter verification module is used for judging whether the extracted parameter information corresponding to the version number carried in the rollback request is supported by the current cloud platform; if yes, triggering the rollback execution module; if not, stopping the rollback process and outputting the first prompt message.
6. The rollback system of workload resources of claim 5, further comprising:
and the recording module is used for recording version description information, version generation time, resource type, resource unique identification and current version mark information corresponding to the target workload resource after parameter adjustment.
7. A rollback apparatus for workload resources, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the steps of the rollback method of workload resources according to any of claims 1 to 4.
8. A computer readable storage medium, characterized in that it has stored thereon a computer program which, when executed by a processor, implements the steps of the method of rollback of workload resources according to any of claims 1 to 4.
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