CN112035288A - Operation fault influence determination method and related equipment - Google Patents

Operation fault influence determination method and related equipment Download PDF

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CN112035288A
CN112035288A CN202010905561.1A CN202010905561A CN112035288A CN 112035288 A CN112035288 A CN 112035288A CN 202010905561 A CN202010905561 A CN 202010905561A CN 112035288 A CN112035288 A CN 112035288A
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target
target operation
determining
job
influence
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CN112035288B (en
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陈世强
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Bank of China Ltd
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Bank of China Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0706Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
    • G06F11/0715Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in a system implementing multitasking

Abstract

The application discloses a method for determining operation fault influence and related equipment, wherein the method comprises the following steps: after determining that the target operation has a fault, determining the associated operation corresponding to the target operation according to the data processing logic in the data system; and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the service scene corresponding to the target operation. The method comprises the steps of determining the fault influence of a target operation according to a related operation corresponding to the target operation and a service scene corresponding to the target operation, wherein the fault influence of the target operation can accurately represent the influence of the target operation with a fault on a data system, so that the determination accuracy of the fault influence of the operation is improved.

Description

Operation fault influence determination method and related equipment
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method for determining an impact of an operation fault and a related device.
Background
A job refers to a computer program code that runs in a computer system for a fixed period of time or at a fixed frequency to perform a specific task, and is generally a program for data processing in a data system.
A plurality of jobs having an association relationship are generally run in a data system, so that different jobs are mutually affected, and thus, a failure of one job may cause many jobs to be affected accordingly.
However, how to determine the effect of the operation fault is a technical problem to be solved urgently.
Disclosure of Invention
In order to solve the technical problems in the prior art, the application provides an operation fault influence determination method and related equipment, which can accurately determine the influence of a fault operation on a data system.
In order to achieve the above purpose, the technical solutions provided in the embodiments of the present application are as follows:
the embodiment of the application provides a method for determining the influence of operation faults, which comprises the following steps:
after determining that the target operation has a fault, determining a related operation corresponding to the target operation according to a data processing logic in a data system;
and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the service scene corresponding to the target operation.
Optionally, the process of acquiring the service scene corresponding to the target job is as follows:
determining a business scene corresponding to the target operation according to the service mapping relation; the service mapping relation comprises a corresponding relation between the target operation and a business scene corresponding to the target operation.
Optionally, the determining the fault influence of the target job according to the associated job corresponding to the target job and the service scenario corresponding to the target job includes:
and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the priority of the service scene corresponding to the target operation.
Optionally, the determining the fault influence of the target job according to the associated job corresponding to the target job and the priority of the service scenario corresponding to the target job includes:
determining a first influence parameter of the target operation according to the associated operation corresponding to the target operation;
determining a second influence parameter of the target operation according to the priority of the service scene corresponding to the target operation;
and determining the fault influence of the target operation according to the first influence parameter of the target operation and the second influence parameter of the target operation.
Optionally, the determining a first impact parameter of the target job according to the associated job corresponding to the target job includes:
determining the number of the associated jobs corresponding to the target job as a first influence parameter of the target job;
alternatively, the first and second electrodes may be,
and when the number of the associated jobs corresponding to the target job is T, summing the system influence degrees of the T associated jobs corresponding to the target job to obtain a first influence parameter of the target job.
Optionally, when the number of the service scenarios corresponding to the target job is M, the determining a second impact parameter of the target job according to the priority of the service scenario corresponding to the target job includes:
carrying out weighted summation on the priorities of the M service scenes corresponding to the target operation to obtain a second influence parameter of the target operation;
alternatively, the first and second electrodes may be,
determining the maximum value in the priorities of the M service scenes corresponding to the target operation as a second influence parameter of the target operation;
alternatively, the first and second electrodes may be,
and determining the weighted average of the priorities of the M service scenes corresponding to the target operation as a second influence parameter of the target operation.
Optionally, the determining the fault influence of the target job according to the first influence parameter of the target job and the second influence parameter of the target job includes:
carrying out weighted summation on the first influence parameter of the target operation and the second influence parameter of the target operation to obtain the fault influence of the target operation;
alternatively, the first and second electrodes may be,
and determining the product of the first influence parameter of the target operation and the second influence parameter of the target operation as the fault influence of the target operation.
An embodiment of the present application further provides an operation failure influence determination device, where the device includes:
the first determining unit is used for determining the related operation corresponding to the target operation according to the data processing logic in the data system after the target operation is determined to have a fault;
and the second determining unit is used for determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the service scene corresponding to the target operation.
An embodiment of the present application further provides an apparatus, where the apparatus includes a processor and a memory:
the memory is used for storing a computer program;
the processor is configured to execute any implementation of the job failure impact determination method provided by the embodiment of the present application according to the computer program.
The embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium is used to store a computer program, and the computer program is used to execute any implementation manner of the method for determining the influence of the job fault provided in the embodiment of the present application.
Compared with the prior art, the embodiment of the application has at least the following advantages:
according to the method for determining the influence of the operation fault, after the target operation is determined to have the fault, the associated operation corresponding to the target operation is determined according to the data processing logic in the data system; and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the service scene corresponding to the target operation. The method comprises the steps of determining the fault influence of a target operation according to a related operation corresponding to the target operation and a service scene corresponding to the target operation, wherein the fault influence of the target operation can accurately represent the influence of the target operation with a fault on a data system, so that the determination accuracy of the fault influence of the operation is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for determining an influence of an operation fault according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an operation failure influence determination apparatus according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an apparatus provided in an embodiment of the present application.
Detailed Description
The inventor finds out in the research on the influence of the operation fault that: when the target job fails, a technician can perform failure analysis on the data system. However, the manual failure analysis is time-consuming and error-prone, resulting in relatively low accuracy of the effect of the operation failure and relatively high time cost.
In order to solve the technical problems of the background art and the defects of the related art, an embodiment of the present application provides a method for determining an influence of a job fault, where the method includes: after determining that the target operation has a fault, determining the associated operation corresponding to the target operation according to the data processing logic in the data system; and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the service scene corresponding to the target operation. The method comprises the steps of determining the fault influence of a target operation according to a related operation corresponding to the target operation and a service scene corresponding to the target operation, wherein the fault influence of the target operation can accurately represent the influence of the target operation with a fault on a data system, so that the determination accuracy of the fault influence of the operation is improved. And because the fault influence of the target operation is automatically determined, manual participation is not needed, so that the time cost for determining the fault influence of the operation can be effectively reduced, and the accuracy of the fault influence of the operation can be effectively improved.
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Method embodiment
Referring to fig. 1, the figure is a flowchart of a method for determining an influence of a job fault according to an embodiment of the present application.
The method for determining the influence of the operation fault comprises the following steps of S1-S2:
s1: and after determining that the target operation has a fault, determining the associated operation corresponding to the target operation according to the data processing logic in the data system.
The target job refers to a job in which a failure (i.e., failure to operate normally) occurs in the data system.
A data system refers to a computer software system for processing (e.g., cleaning, converting, processing, analyzing, mining, etc.) received data. In addition, the data system is not limited in the embodiments of the present application, and for example, the data system may be a data warehouse system, a data mart system, a big data analysis system, or the like. In addition, the number of data systems is not limited in the embodiments of the present application, for example, the number of data systems is N, and N is a positive integer.
The data processing logic is to describe execution logic to generate another data using at least one data. For example, the data processing logic may be: and generating a VIP customer deposit sum table according to the customer identity table and the customer deposit sum table.
In addition, each data processing logic can determine one operation and the corresponding data mapping relation. The job refers to an execution program for completing a data processing logic, and the data mapping relationship corresponding to the job refers to a mapping relationship between different data related to the data processing logic. For example, when the data processing logic is "generate the VIP client total deposit amount table based on the client identity table and the client total deposit amount table", the job refers to an execution program that enables generation of the VIP client total deposit amount table from the client identity table and the client total deposit amount table, and the job corresponds to a data mapping relationship in which there is a mapping relationship between the client identity table and the VIP client total deposit amount table, and there is a mapping relationship between the client total deposit amount table and the VIP client total deposit amount table.
The associated job corresponding to the target job refers to a job other than the target job which directly or indirectly refers to the generation result (such as the above VIP customer deposit total table) of the target job in the data system. Here, the direct reference means directly taking the generation result of the target job as input data (i.e., basic data). The indirect reference means that data obtained by performing data processing at least once on the generation result of the target job is taken as input data (i.e., basic data).
Based on the above-mentioned related content of S1, in the embodiment of the present application, after determining that the target job has failed, according to the data processing logic in the data system, the related job corresponding to the target job is determined, which specifically is: firstly, determining each operation and a corresponding data mapping relation from data processing logic in a data system; and then, searching out the job which directly refers to the generation result of the target job or indirectly refers to the generation result of the target job in the data system from each job and the corresponding data mapping relation of the job, and taking the job as the associated job corresponding to the target job.
It should be noted that the determination time of each job and the corresponding data mapping relationship thereof is not fixed, and may be extracted from the data processing logic in the data system in advance, and each job and the corresponding data mapping relationship thereof need to be updated as long as the data processing logic in the data system changes.
S2: and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the service scene corresponding to the target operation.
The service scene corresponding to the target job refers to the service scene served by the target job. In addition, the number of service scenes is not limited in the embodiments of the present application, for example, if a target job serves M service scenes, the number of service scenes corresponding to the target job is M; wherein M is a positive integer.
The service scene refers to an application scene of the job to be processed. In addition, the embodiment of the present application does not limit the service scenario, for example, the service scenario may be an internal data management scenario, a customer data providing scenario, a market data research and development scenario, and the like.
In addition, an embodiment of the present application further provides an implementation manner for determining a service scenario corresponding to a target job, which specifically includes: and determining a business scene corresponding to the target operation according to the service mapping relation.
The service mapping relationship is used to record a corresponding relationship between each job to be determined and a service scenario of the service thereof, for example, the service mapping relationship includes a corresponding relationship between the target job and a service scenario corresponding to the target job. It should be noted that one job to be determined may correspond to at least one application scenario.
In addition, the service mapping relation is generated in advance, and the construction process of the service mapping relation is as follows: after each job in the data system is acquired, the service scene served by each job is acquired, the corresponding relation between each job and the service scene served by each job is established, and the service mapping relation is generated based on the corresponding relation between each job and the service scene served by each job.
For example, when the number of jobs in the data system is T, S102 may specifically be: first, M serviced by the ith job is acquirediA service scene, and respectively establishing the ith job and the MiThe corresponding relation between the service scenes; wherein i is a positive integer, and i is less than or equal to T, MiIs a positive integer. Then, according to the 1 st job and M1Correspondence between individual service scenarios, 2 nd job and M2Correspondence between individual business scenarios, … …, Tth job andthe MTGenerating a service mapping relation by the corresponding relation between the business scenes so as to ensure that the service mapping relation comprises the 1 st job and M1Correspondence between individual service scenarios, 2 nd job and M2Correspondence between individual service scenarios, … …, Tth job and the MTThe corresponding relation between the service scenes.
It should be noted that, in the embodiment of the present application, the update time of the service mapping relationship is not limited, and the service mapping relationship needs to be updated only when the corresponding relationship between at least one job and the service scenario of the job changes.
Based on the relevant content of the service scene corresponding to the target job, the service scene corresponding to the target job can be queried from the service mapping relationship constructed in advance as the service scene corresponding to the target job. It should be noted that, in the embodiment of the present application, the determination time of the service scenario corresponding to the target job is not limited, and the execution may be completed before executing S2.
In some cases, the priority of the service scenario corresponding to the target job may affect the fault effect of the target job, so this application embodiment further provides an implementation manner of S2, which is specifically: and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the priority of the service scene corresponding to the target operation. Wherein, the priority of the service scene is used for describing the importance degree of the service scene.
For ease of understanding, the following description is made in connection with one possible embodiment.
In one possible embodiment, S2 may specifically include S21-S23:
s21: and determining a first influence parameter of the target operation according to the associated operation corresponding to the target operation.
The first influence parameter of the target job is used for describing the influence of the fault state of the target job on the associated job corresponding to the target job.
In addition, the embodiment of the present application does not limit the acquisition process of the first influencing parameter of the target job, and for the convenience of understanding, the following description will be made with reference to two cases.
In case 1, the more related jobs corresponding to the target job, the more serious the influence of the target job on the data system is, so that the number of related jobs corresponding to the target job and the influence of the target job on the data system are positively correlated. Based on this, S21 may be specifically: and determining the number of the associated jobs corresponding to the target job as a first influence parameter of the target job.
In case 2, the data system is affected to a different extent by different related jobs corresponding to the target job. Based on this, S21 may be specifically: and when the number of the associated jobs corresponding to the target job is T, summing up the system influence degrees of the T associated jobs corresponding to the target job to obtain a first influence parameter of the target job (as shown in a formula (1)). The system influence degree of the associated job is used for describing the influence degree of the associated job on the data system.
Figure BDA0002661302730000081
In the formula (I), the compound is shown in the specification,1a first impact parameter of the target operation; h istThe system influence degree of the t-th associated job corresponding to the target job; m is the number of related jobs corresponding to the target job.
Based on the above-mentioned related content of S21, after T related jobs corresponding to the target job are acquired, the first influence parameter of the target job may be determined according to the T related jobs, so that the first influence parameter of the target job can represent the influence of the fault state of the target job on the related job corresponding to the target job.
S22: and determining a second influence parameter of the target operation according to the priority of the service scene corresponding to the target operation.
To facilitate understanding of S22, the following description is made in conjunction with three examples.
Example 1, S22 may specifically be: and carrying out weighted summation on the priorities of the M service scenes corresponding to the target operation to obtain a second influence parameter of the target operation. Note that the weight involved in the "weighted sum" may be set in advance.
Example 2, S22 may specifically be: and determining the maximum value in the priority levels of the M service scenes corresponding to the target operation as a second influence parameter of the target operation.
Example 3, S22 may specifically be: and determining the weighted average of the priorities of the M service scenes corresponding to the target operation as a second influence parameter of the target operation. It should be noted that the weight involved in the solving of the "weighted average" may be set in advance.
Based on the related content of S22, after the M service scenes corresponding to the target job are obtained, the second impact parameter of the target job may be determined according to the priorities of the M service scenes, so that the second impact parameter of the target job can accurately represent the impact of the service scene corresponding to the target job on the data system.
S23: and determining the fault influence of the target operation according to the first influence parameter of the target operation and the second influence parameter of the target operation.
For ease of explanation, the following description is made in conjunction with two examples.
Example 1, S23 may specifically be: and carrying out weighted summation on the first influence parameter of the target operation and the second influence parameter of the target operation to obtain the fault influence of the target operation. Note that the weight involved in the "weighted sum" may be set in advance.
Example 2, S23 may specifically be: and determining the product of the first influence parameter of the target operation and the second influence parameter of the target operation as the fault influence of the target operation.
Based on the above-mentioned contents of S2, after acquiring the related job corresponding to the target job and the business scenario corresponding to the target job, the fault influence of the target job can be determined according to the related job corresponding to the target job and the business scenario thereof, so that the fault influence of the target job can accurately represent the influence of the faulty target job on the data system.
Based on the above-mentioned relevant contents of S1 to S2, in the method for determining influence of job failure according to the embodiment of the present application, after determining that a target job has failed, a related job corresponding to the target job is determined according to the data processing logic in the data system; and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the service scene corresponding to the target operation. The method comprises the steps of determining the fault influence of a target operation according to a related operation corresponding to the target operation and a service scene corresponding to the target operation, wherein the fault influence of the target operation can accurately represent the influence of the target operation with a fault on a data system, so that the determination accuracy of the fault influence of the operation is improved.
Based on the method for determining the influence of the operation fault provided by the above method embodiment, the embodiment of the present application further provides an apparatus for determining the influence of the operation fault, which is explained and explained below with reference to the accompanying drawings.
Device embodiment
Please refer to the above method embodiment for the technical details of the operation failure influence determination apparatus provided by the apparatus embodiment.
Referring to fig. 2, the figure is a schematic structural diagram of an operation failure influence determination apparatus according to an embodiment of the present application.
The device 200 for determining the influence of the operation fault provided by the embodiment of the application includes:
the first determining unit 201 is configured to determine, according to data processing logic in a data system, a related job corresponding to a target job after determining that the target job has a fault;
a second determining unit 202, configured to determine a fault influence of the target job according to the associated job corresponding to the target job and the service scenario corresponding to the target job.
In a possible implementation manner, the process of acquiring the service scenario corresponding to the target job is as follows:
determining a business scene corresponding to the target operation according to the service mapping relation; the service mapping relation comprises a corresponding relation between the target operation and a business scene corresponding to the target operation.
In a possible implementation manner, the second determining unit 202 is specifically configured to:
and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the priority of the service scene corresponding to the target operation.
In a possible implementation, the second determining unit 202 includes:
the first determining subunit is configured to determine, according to the associated job corresponding to the target job, a first impact parameter of the target job;
the second determining subunit is configured to determine, according to the priority of the service scenario corresponding to the target job, a second impact parameter of the target job;
and the third determining subunit is used for determining the fault influence of the target operation according to the first influence parameter of the target operation and the second influence parameter of the target operation.
In a possible implementation manner, the first determining subunit is specifically configured to:
determining the number of the associated jobs corresponding to the target job as a first influence parameter of the target job;
alternatively, the first and second electrodes may be,
and when the number of the associated jobs corresponding to the target job is T, summing the system influence degrees of the T associated jobs corresponding to the target job to obtain a first influence parameter of the target job.
In a possible implementation manner, the second determining subunit is specifically configured to: when the number of the service scenes corresponding to the target operation is M,
carrying out weighted summation on the priorities of the M service scenes corresponding to the target operation to obtain a second influence parameter of the target operation;
alternatively, the first and second electrodes may be,
determining the maximum value in the priorities of the M service scenes corresponding to the target operation as a second influence parameter of the target operation;
alternatively, the first and second electrodes may be,
and determining the weighted average of the priorities of the M service scenes corresponding to the target operation as a second influence parameter of the target operation.
In a possible implementation manner, the third determining subunit is specifically configured to:
carrying out weighted summation on the first influence parameter of the target operation and the second influence parameter of the target operation to obtain the fault influence of the target operation;
alternatively, the first and second electrodes may be,
and determining the product of the first influence parameter of the target operation and the second influence parameter of the target operation as the fault influence of the target operation.
Based on the relevant content of the work failure influence determination device 200, after determining that the target work has failed, determining the related work corresponding to the target work according to the data processing logic in the data system; and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the service scene corresponding to the target operation. The method comprises the steps of determining the fault influence of a target operation according to a related operation corresponding to the target operation and a service scene corresponding to the target operation, wherein the fault influence of the target operation can accurately represent the influence of the target operation with a fault on a data system, so that the determination accuracy of the fault influence of the operation is improved.
Based on the method for determining the influence of the operation fault provided by the method embodiment, the embodiment of the present application further provides a device, which is explained and explained with reference to the drawings.
Apparatus embodiment
Please refer to the above method embodiment for the device technical details provided by the device embodiment.
Referring to fig. 3, the figure is a schematic structural diagram of an apparatus provided in the embodiment of the present application.
The device 300 provided by the embodiment of the application comprises: a processor 301 and a memory 302;
the memory 302 is used for storing computer programs;
the processor 301 is configured to execute any implementation of the method for determining the influence of the job fault according to the above method embodiments. That is, the processor 301 is configured to perform the following steps:
after determining that the target operation has a fault, determining a related operation corresponding to the target operation according to a data processing logic in a data system;
and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the service scene corresponding to the target operation.
Optionally, the process of acquiring the service scene corresponding to the target job is as follows:
determining a business scene corresponding to the target operation according to the service mapping relation; the service mapping relation comprises a corresponding relation between the target operation and a business scene corresponding to the target operation.
Optionally, the determining the fault influence of the target job according to the associated job corresponding to the target job and the service scenario corresponding to the target job includes:
and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the priority of the service scene corresponding to the target operation.
Optionally, the determining the fault influence of the target job according to the associated job corresponding to the target job and the priority of the service scenario corresponding to the target job includes:
determining a first influence parameter of the target operation according to the associated operation corresponding to the target operation;
determining a second influence parameter of the target operation according to the priority of the service scene corresponding to the target operation;
and determining the fault influence of the target operation according to the first influence parameter of the target operation and the second influence parameter of the target operation.
Optionally, the determining a first impact parameter of the target job according to the associated job corresponding to the target job includes:
determining the number of the associated jobs corresponding to the target job as a first influence parameter of the target job;
alternatively, the first and second electrodes may be,
and when the number of the associated jobs corresponding to the target job is T, summing the system influence degrees of the T associated jobs corresponding to the target job to obtain a first influence parameter of the target job.
Optionally, when the number of the service scenarios corresponding to the target job is M, the determining a second impact parameter of the target job according to the priority of the service scenario corresponding to the target job includes:
carrying out weighted summation on the priorities of the M service scenes corresponding to the target operation to obtain a second influence parameter of the target operation;
alternatively, the first and second electrodes may be,
determining the maximum value in the priorities of the M service scenes corresponding to the target operation as a second influence parameter of the target operation;
alternatively, the first and second electrodes may be,
and determining the weighted average of the priorities of the M service scenes corresponding to the target operation as a second influence parameter of the target operation.
Optionally, the determining the fault influence of the target job according to the first influence parameter of the target job and the second influence parameter of the target job includes:
carrying out weighted summation on the first influence parameter of the target operation and the second influence parameter of the target operation to obtain the fault influence of the target operation;
alternatively, the first and second electrodes may be,
and determining the product of the first influence parameter of the target operation and the second influence parameter of the target operation as the fault influence of the target operation.
The above is related to the apparatus 300 provided in the embodiments of the present application.
Based on the method for determining the influence of the operation fault provided by the method embodiment, the embodiment of the application also provides a computer readable storage medium.
Media embodiments
Media embodiments provide technical details of computer-readable storage media, please refer to method embodiments.
Embodiments of the present application provide a computer-readable storage medium for storing a computer program for executing any implementation of the method for determining an impact on a job fault provided by the above method embodiments. That is, the computer program is for performing the steps of:
after determining that the target operation has a fault, determining a related operation corresponding to the target operation according to a data processing logic in a data system;
and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the service scene corresponding to the target operation.
Optionally, the process of acquiring the service scene corresponding to the target job is as follows:
determining a business scene corresponding to the target operation according to the service mapping relation; the service mapping relation comprises a corresponding relation between the target operation and a business scene corresponding to the target operation.
Optionally, the determining the fault influence of the target job according to the associated job corresponding to the target job and the service scenario corresponding to the target job includes:
and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the priority of the service scene corresponding to the target operation.
Optionally, the determining the fault influence of the target job according to the associated job corresponding to the target job and the priority of the service scenario corresponding to the target job includes:
determining a first influence parameter of the target operation according to the associated operation corresponding to the target operation;
determining a second influence parameter of the target operation according to the priority of the service scene corresponding to the target operation;
and determining the fault influence of the target operation according to the first influence parameter of the target operation and the second influence parameter of the target operation.
Optionally, the determining a first impact parameter of the target job according to the associated job corresponding to the target job includes:
determining the number of the associated jobs corresponding to the target job as a first influence parameter of the target job;
alternatively, the first and second electrodes may be,
and when the number of the associated jobs corresponding to the target job is T, summing the system influence degrees of the T associated jobs corresponding to the target job to obtain a first influence parameter of the target job.
Optionally, when the number of the service scenarios corresponding to the target job is M, the determining a second impact parameter of the target job according to the priority of the service scenario corresponding to the target job includes:
carrying out weighted summation on the priorities of the M service scenes corresponding to the target operation to obtain a second influence parameter of the target operation;
alternatively, the first and second electrodes may be,
determining the maximum value in the priorities of the M service scenes corresponding to the target operation as a second influence parameter of the target operation;
alternatively, the first and second electrodes may be,
and determining the weighted average of the priorities of the M service scenes corresponding to the target operation as a second influence parameter of the target operation.
Optionally, the determining the fault influence of the target job according to the first influence parameter of the target job and the second influence parameter of the target job includes:
carrying out weighted summation on the first influence parameter of the target operation and the second influence parameter of the target operation to obtain the fault influence of the target operation;
alternatively, the first and second electrodes may be,
and determining the product of the first influence parameter of the target operation and the second influence parameter of the target operation as the fault influence of the target operation.
The above is related to the computer-readable storage medium provided in the embodiments of the present application.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
The foregoing is merely a preferred embodiment of the invention and is not intended to limit the invention in any manner. Although the present invention has been described with reference to the preferred embodiments, it is not intended to be limited thereto. Those skilled in the art can make numerous possible variations and modifications to the present teachings, or modify equivalent embodiments to equivalent variations, without departing from the scope of the present teachings, using the methods and techniques disclosed above. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.

Claims (10)

1. A method of determining operational fault impact, the method comprising:
after determining that the target operation has a fault, determining a related operation corresponding to the target operation according to a data processing logic in a data system;
and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the service scene corresponding to the target operation.
2. The method according to claim 1, wherein the obtaining process of the service scenario corresponding to the target job is as follows:
determining a business scene corresponding to the target operation according to the service mapping relation; the service mapping relation comprises a corresponding relation between the target operation and a business scene corresponding to the target operation.
3. The method according to claim 1, wherein the determining the fault effect of the target job according to the associated job corresponding to the target job and the service scenario corresponding to the target job comprises:
and determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the priority of the service scene corresponding to the target operation.
4. The method according to claim 3, wherein the determining the fault impact of the target job according to the priority of the associated job corresponding to the target job and the service scenario corresponding to the target job comprises:
determining a first influence parameter of the target operation according to the associated operation corresponding to the target operation;
determining a second influence parameter of the target operation according to the priority of the service scene corresponding to the target operation;
and determining the fault influence of the target operation according to the first influence parameter of the target operation and the second influence parameter of the target operation.
5. The method according to claim 4, wherein the determining a first impact parameter of the target job according to the associated job corresponding to the target job comprises:
determining the number of the associated jobs corresponding to the target job as a first influence parameter of the target job;
alternatively, the first and second electrodes may be,
and when the number of the associated jobs corresponding to the target job is T, summing the system influence degrees of the T associated jobs corresponding to the target job to obtain a first influence parameter of the target job.
6. The method according to claim 4, wherein when the number of the service scenarios corresponding to the target job is M, the determining the second impact parameter of the target job according to the priority of the service scenario corresponding to the target job comprises:
carrying out weighted summation on the priorities of the M service scenes corresponding to the target operation to obtain a second influence parameter of the target operation;
alternatively, the first and second electrodes may be,
determining the maximum value in the priorities of the M service scenes corresponding to the target operation as a second influence parameter of the target operation;
alternatively, the first and second electrodes may be,
and determining the weighted average of the priorities of the M service scenes corresponding to the target operation as a second influence parameter of the target operation.
7. The method of claim 4, wherein determining the fault impact of the target job based on the first impact parameter of the target job and the second impact parameter of the target job comprises:
carrying out weighted summation on the first influence parameter of the target operation and the second influence parameter of the target operation to obtain the fault influence of the target operation;
alternatively, the first and second electrodes may be,
and determining the product of the first influence parameter of the target operation and the second influence parameter of the target operation as the fault influence of the target operation.
8. An operational fault impact determination apparatus, the apparatus comprising:
the first determining unit is used for determining the related operation corresponding to the target operation according to the data processing logic in the data system after the target operation is determined to have a fault;
and the second determining unit is used for determining the fault influence of the target operation according to the associated operation corresponding to the target operation and the service scene corresponding to the target operation.
9. An apparatus, comprising a processor and a memory:
the memory is used for storing a computer program;
the processor is configured to perform the method of any one of claims 1-7 in accordance with the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium is used to store a computer program for performing the method of any of claims 1-7.
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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070168201A1 (en) * 2006-01-06 2007-07-19 Chellam Sudhakar V Formula for automatic prioritization of the business impact based on a failure on a service in a loosely coupled application
CN101778017A (en) * 2010-01-05 2010-07-14 中国工商银行股份有限公司 Method and server for processing on-line transaction fault event of mainframe
CN103378980A (en) * 2012-04-16 2013-10-30 中兴通讯股份有限公司 Method for correlation analysis of layer network alarm with business and device thereof
CN106603264A (en) * 2015-10-20 2017-04-26 阿里巴巴集团控股有限公司 Method and equipment for positioning fault root
CN107729252A (en) * 2013-07-09 2018-02-23 甲骨文国际公司 For reducing instable method and system when upgrading software
CN108833184A (en) * 2018-06-29 2018-11-16 腾讯科技(深圳)有限公司 Service fault localization method, device, computer equipment and storage medium
CN108880838A (en) * 2017-05-10 2018-11-23 阿里巴巴集团控股有限公司 Monitoring method and device, the computer equipment and readable medium of traffic failure
CN110334012A (en) * 2019-05-31 2019-10-15 口碑(上海)信息技术有限公司 A kind of methods of risk assessment and device
CN111144720A (en) * 2019-12-13 2020-05-12 新华三大数据技术有限公司 Association analysis method and device of operation and maintenance scene and computer readable storage medium
CN111193605A (en) * 2019-08-28 2020-05-22 腾讯科技(深圳)有限公司 Fault positioning method and device and storage medium

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070168201A1 (en) * 2006-01-06 2007-07-19 Chellam Sudhakar V Formula for automatic prioritization of the business impact based on a failure on a service in a loosely coupled application
CN101778017A (en) * 2010-01-05 2010-07-14 中国工商银行股份有限公司 Method and server for processing on-line transaction fault event of mainframe
CN103378980A (en) * 2012-04-16 2013-10-30 中兴通讯股份有限公司 Method for correlation analysis of layer network alarm with business and device thereof
CN107729252A (en) * 2013-07-09 2018-02-23 甲骨文国际公司 For reducing instable method and system when upgrading software
CN106603264A (en) * 2015-10-20 2017-04-26 阿里巴巴集团控股有限公司 Method and equipment for positioning fault root
CN108880838A (en) * 2017-05-10 2018-11-23 阿里巴巴集团控股有限公司 Monitoring method and device, the computer equipment and readable medium of traffic failure
CN108833184A (en) * 2018-06-29 2018-11-16 腾讯科技(深圳)有限公司 Service fault localization method, device, computer equipment and storage medium
CN110334012A (en) * 2019-05-31 2019-10-15 口碑(上海)信息技术有限公司 A kind of methods of risk assessment and device
CN111193605A (en) * 2019-08-28 2020-05-22 腾讯科技(深圳)有限公司 Fault positioning method and device and storage medium
CN111144720A (en) * 2019-12-13 2020-05-12 新华三大数据技术有限公司 Association analysis method and device of operation and maintenance scene and computer readable storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
嵇智辉;倪宏;: "网络管理中故障业务影响模型研究", 计算机工程与应用 *

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