CN115733771A

CN115733771A - Storage module detection method, device, equipment and storage medium

Info

Publication number: CN115733771A
Application number: CN202211376679.5A
Authority: CN
Inventors: 张春和
Original assignee: Ping An Bank Co Ltd
Current assignee: Ping An Bank Co Ltd
Priority date: 2022-11-04
Filing date: 2022-11-04
Publication date: 2023-03-03

Abstract

The application provides a storage module detection method, a device, equipment and a storage medium, wherein the method comprises the following steps: responding to the detection request of the storage module, and acquiring a target equipment cluster corresponding to the detection request of the storage module; driving each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction to obtain detection feedback information of the distributed storage module; positioning an abnormal storage module and associated abnormal cluster equipment according to the detection feedback information and the storage type of the distributed storage module; and calculating the storage connection health degree of the abnormal storage module and the abnormal cluster equipment, and outputting an equipment detection result corresponding to the storage connection health degree. The abnormal storage module and the abnormal cluster equipment in the equipment cluster can be quickly positioned, the equipment detection results of the abnormal storage module and the abnormal cluster equipment can be accurately output according to the storage connection health degree, and the detection efficiency and the detection accuracy are improved.

Description

Storage module detection method, device, equipment and storage medium

Technical Field

The application relates to the technical field of Internet of things, in particular to a storage module detection method, device, equipment and storage medium.

Background

Currently, with the development of digital technology, many enterprises need to deploy various service systems to execute various services. Various subsystems exist in an existing financial system, different subsystems need a plurality of entity servers or build a virtual server to form a server cluster to operate together to execute various functions of the subsystems, a rear-end server depends on various storage devices as storage media of data files, however, under the conditions of large-scale version distribution, application online and offline, machine room shutdown maintenance and the like, due to the lack of an effective heartbeat mechanism, whether the connection condition between the servers and the storage media is healthy or not is judged, if the access between an individual server and the storage media is in a problem, the potential problem can directly cause program operation error reporting, and abnormal problems are caused.

Disclosure of Invention

The embodiment of the application provides a storage module detection method, a storage module detection device, storage equipment and a storage medium, and aims to solve the technical problem that the connection condition of a storage module in a service system cannot be quickly and accurately checked in the prior art.

In one aspect, an embodiment of the present application provides a storage module detection method, where the storage module detection method includes the following steps:

responding to a storage module detection request, and acquiring a target equipment cluster corresponding to the storage module detection request;

driving each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction, so as to obtain detection feedback information of the distributed storage module;

positioning an abnormal storage module and associated abnormal cluster equipment in the target equipment cluster according to the detection feedback information and the storage type of the distributed storage module;

and calculating the storage connection health degree of the abnormal storage module and the abnormal cluster equipment, and outputting an equipment detection result corresponding to the storage connection health degree.

In a possible implementation manner of the present application, the locating, according to the detection feedback information and the storage type of the distributed storage module, an abnormal storage module and associated abnormal cluster equipment in the target equipment cluster includes:

acquiring the storage type of the distributed storage module and the equipment type of cluster equipment corresponding to the distributed storage module, and generating a cluster state image of the target cluster according to the storage type, the equipment type and the detection feedback information;

inputting the cluster state image into a preset storage detection model for feature extraction to obtain cluster state features of the cluster state image;

and positioning the abnormal cluster equipment corresponding to the abnormal storage module and the abnormal storage module according to the cluster state characteristics.

In a possible implementation manner of the present application, the determining, according to the storage connection characteristic, a storage connection state of the distributed storage module and the abnormal cluster device includes:

inputting the cluster state features into a full connection layer in the storage detection model to perform feature classification processing to obtain storage connection features in the cluster state features;

calculating the feature similarity of the storage connection feature and a preset disconnection feature, and comparing the feature similarity with a preset disconnection threshold value;

and acquiring an abnormal storage module and abnormal cluster equipment corresponding to the storage connection characteristics with the characteristic similarity larger than the preset disconnection threshold.

acquiring a preset detection check code and a preset feedback time threshold;

acquiring a detection check code of a preset target field in the detection feedback information and detection feedback time corresponding to the detection feedback information;

if the detection check code is not matched with the detection check code, and/or the detection feedback time is greater than the feedback time threshold, setting the distributed storage module corresponding to the detection feedback information as an abnormal storage module, and setting the cluster equipment corresponding to the abnormal storage module as abnormal cluster equipment.

In a possible implementation manner of the present application, the calculating a storage connection health degree of the abnormal storage module and the abnormal cluster device, and outputting a device detection result corresponding to the storage connection health degree includes:

acquiring a feedback characteristic parameter in the detection feedback information and a characteristic weight of the feedback characteristic parameter;

inputting the feedback characteristic parameters into a preset health degree model for health degree calculation to obtain the characteristic health degree of the feedback characteristic parameters;

and carrying out weighted summation on the characteristic health degrees according to the characteristic weights to obtain the storage connection health degrees of the abnormal storage module and the abnormal cluster equipment, and outputting an equipment detection result corresponding to the storage connection health degrees.

In a possible implementation manner of the present application, the outputting the device detection result corresponding to the storage connection health degree includes:

acquiring a preset health degree detection interval and a health detection threshold value of the health degree detection interval;

if the storage connection health degree does not exceed the health detection threshold, setting a connection health grade corresponding to the health degree detection interval as an abnormal connection grade of the storage connection health degree;

and acquiring a device detection result corresponding to the abnormal connection grade, and outputting the device detection result.

In a possible implementation manner of the present application, the responding to a storage module detection request to obtain a target device cluster corresponding to the storage module detection request includes:

acquiring device dimension parameters in the storage module detection request, wherein the device dimension parameters comprise at least one of a device identifier, an application identifier, a machine room dimension identifier and a device sub-environment identifier;

inputting the equipment dimension parameters into a preset equipment database for query to obtain cluster equipment corresponding to the equipment dimension parameters;

summarizing the abnormal cluster equipment, and generating a target equipment cluster corresponding to the storage module detection request.

In another aspect, the present application provides a memory module testing apparatus, including:

the cluster acquisition module is configured to respond to a storage module detection request and acquire a target equipment cluster corresponding to the storage module detection request;

the detection interaction module is configured to drive each cluster device in the target device cluster and the distributed storage module corresponding to the cluster device to perform connection detection interaction, so as to obtain detection feedback information of the distributed storage module;

an anomaly positioning module configured to position an anomaly storage module and associated anomaly cluster equipment in the target equipment cluster according to the detection feedback information and the storage type of the distributed storage module;

and the connection analysis module is configured to calculate the storage connection health degrees of the abnormal storage module and the abnormal cluster equipment and output an equipment detection result corresponding to the storage connection health degrees.

On the other hand, the present application further provides a storage module detection apparatus, including:

one or more processors;

a memory; and

one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor to implement the storage module detection method.

In another aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is loaded by a processor to execute the steps in the storage module detection method.

In the application, a target equipment cluster corresponding to a storage module detection request is obtained by responding to the storage module detection request; driving each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction, so as to obtain detection feedback information of the distributed storage module; positioning an abnormal storage module and associated abnormal cluster equipment in the target equipment cluster according to the detection feedback information and the storage type of the distributed storage module; and calculating the storage connection health degree of the abnormal storage module and the abnormal cluster equipment, and outputting an equipment detection result corresponding to the storage connection health degree. The abnormal storage module and the abnormal cluster equipment in the equipment cluster can be quickly positioned, the equipment detection results of the abnormal storage module and the abnormal cluster equipment can be accurately output according to the storage connection health degree, and the detection efficiency and the detection accuracy are improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a schematic view of a scenario of a storage module detection method according to an embodiment of the present application;

FIG. 2 is a schematic flow chart diagram illustrating an embodiment of a method for detecting a memory module according to the present disclosure;

fig. 3 is a schematic flowchart of an embodiment of locating an abnormal memory module in a memory module detection method according to the present application;

fig. 4 is a schematic flowchart of an embodiment of determining an apparatus detection result in a storage module detection method according to the embodiment of the present application;

fig. 5 is a schematic structural diagram of an embodiment of a memory module detection apparatus according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of an embodiment of a memory module detection device provided in an embodiment of the present application.

Detailed Description

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 invention, 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 invention.

In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, features defined as "first", "second", may explicitly or implicitly include one or more of the described features. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.

In this application, the word "exemplary" is used to mean "serving as an example, instance, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the invention. In the following description, details are set forth for the purpose of explanation. It will be apparent to one of ordinary skill in the art that the present invention may be practiced without these specific details. In other instances, well-known structures and processes are not set forth in detail in order to avoid obscuring the description of the present invention with unnecessary detail. Thus, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.

Currently, with the development of digital technology, many enterprises need to implement various services by deploying various service systems. Various subsystems exist in the existing financial system, different subsystems need a plurality of entity servers or build a virtual server to form a server cluster to operate together to execute various functions of the subsystems, a back-end server depends on various storage devices as storage media of data files, however, under the scenes of large-scale version distribution, application online and offline, machine room shutdown maintenance and the like, due to the lack of an effective heartbeat mechanism, the connection condition between the servers and the storage media is healthy, if the access between individual servers and the storage media is in a problem, the potential problem can directly cause program operation error reporting, and the abnormal problem is caused.

Based on this, the application provides a storage module detection method, device, equipment and computer readable storage medium, so as to solve the technical problem that the prior art cannot quickly and accurately perform effective check on the connection condition of a storage module in a service system.

The storage module detection method in the embodiment of the invention is applied to a storage module detection device, the storage module detection device is arranged on storage module detection equipment, and one or more processors, memories and one or more application programs are arranged in the storage module detection equipment, wherein the one or more application programs are stored in the memories and are configured to be executed by the processors to implement the storage module detection method; the storage module detection device can be an intelligent terminal, such as a mobile phone, a tablet computer, an intelligent television, a network device, an intelligent computer and the like; optionally, the storage module detection device may also be a device or a service cluster formed by multiple devices.

As shown in fig. 1, fig. 1 is a schematic view of a storage module detection method according to an embodiment of the present disclosure, where a storage module detection scenario according to an embodiment of the present disclosure includes a storage module detection device 100 (a storage module detection apparatus is integrated in the storage module detection device 100), a plurality of cluster devices 200, and a storage module 300 in data connection with the cluster devices, and a computer-readable storage medium corresponding to the storage module detection method is run in the storage module detection device 100, so as to execute steps of the storage module detection method. The cluster device 200 may be a virtual server or an entity server, and the distributed storage module 300 is a distributed storage module such as Ceph or Sftp.

It should be understood that the storage module detection device in the storage module detection method scenario shown in fig. 1, or the apparatuses included in the storage module detection device, do not constitute a limitation to the embodiment of the present invention, that is, the number of devices and the types of devices included in the storage module detection device included in the storage module detection method scenario, or the number of apparatuses and the types of apparatuses included in each device do not affect the overall implementation of the technical solution in the embodiment of the present invention, and may be calculated as an equivalent replacement or a derivative of the technical solution claimed in the embodiment of the present invention.

The storage module detection device 100 in the embodiment of the present invention is mainly used for: responding to a storage module detection request, and acquiring a target equipment cluster corresponding to the storage module detection request; driving each cluster device in the target device cluster to perform detection interaction to the associated distributed storage module, and generating detection feedback information; positioning a target storage module in the target equipment cluster and target cluster equipment associated with the target storage module according to storage load data and interaction record data in the detection feedback information; and acquiring a candidate storage module associated with the target storage module, and driving the target cluster equipment to perform data interaction with the candidate storage module to obtain a storage module detection result.

The storage module detection device 100 in the embodiment of the present invention may be an independent storage module detection device, such as an intelligent terminal like a mobile phone, a tablet computer, an intelligent television, a network device, a device, and an intelligent computer, or a storage module detection network or a storage module detection cluster composed of a plurality of storage module detection devices.

The embodiments of the present application provide a storage module detection method, apparatus, device and computer-readable storage medium, which are described in detail below.

Those skilled in the art can understand that the application environment shown in fig. 1 is only one of the application scenarios related to the present application, and does not constitute a limitation on the application scenario of the present application, and other application environments may further include more or less storage module detection devices than those shown in fig. 1, or a storage module detection network connection relationship, for example, only one storage module detection device is shown in fig. 1, and it is understood that the scenario of the storage module detection method may further include one or more storage module detection devices, which is not limited herein; the storage module detection device 100 may also include a memory for storing cluster device information and other data.

It should be noted that the scene schematic diagram of the storage module detection method shown in fig. 1 is only an example, and the scene of the storage module detection method described in the embodiment of the present invention is for more clearly explaining the technical solution of the embodiment of the present invention, and does not constitute a limitation to the technical solution provided in the embodiment of the present invention.

Based on the scene of the storage module detection method, the embodiments of the storage module detection method disclosed by the invention are provided.

As shown in fig. 2, fig. 2 is a schematic flowchart of an embodiment of a storage module detection method in an embodiment of the present application, where the storage module detection method includes the following steps 201 to 204:

201. responding to a storage module detection request, and acquiring a target equipment cluster corresponding to the storage module detection request;

the storage module detection method in this embodiment is applied to storage module detection equipment, and the type and number of the storage module detection equipment are not specifically limited, that is, the storage module detection equipment may be one or more intelligent terminals or devices, and in a specific embodiment, the storage module detection equipment is an intelligent computer.

The storage module detection device is configured to determine a target device cluster to be diagnosed according to the multi-dimensional device information, and perform fault diagnosis on cluster devices in the target device cluster and a storage module connected with the cluster devices, so as to obtain a storage module detection result of the target device cluster. The cluster device can be a server or other intelligent devices for supporting the operation of a service system; the storage module is distributed storage equipment such as Ceph or Sftp which is in communication connection with the designated cluster equipment.

Specifically, the storage module detection device receives a storage module detection request in an operation process. The storage module detection request is an operation instruction for requesting the storage module detection device to perform fault diagnosis on the cluster device and the storage module in the target cluster. The triggering mode of the storage module detection request is not specifically limited, that is, the storage module detection request may be actively triggered by a user, for example, the user is an operation and maintenance person, and inputs the device information of the target device cluster to be detected to the storage module detection device, so as to actively trigger the storage module detection request; in addition, the storage module detection request may also be automatically triggered by the storage module detection device, for example, the storage module detection device sets a timing cluster diagnosis process in advance, and automatically triggers the storage module detection request for performing fault diagnosis on the target device cluster within a preset time period.

Specifically, after obtaining the storage module detection request, the storage module detection device obtains device information carried in the device fault diagnosis request, where the device information is a query instruction of a multi-dimensional determination target device, and optionally, the device information at least includes at least one or more of an application identifier, device environment information, device room information, and a storage space identifier.

After acquiring the information of each device, the cluster fault contention device accesses a preset content management database, inputs information such as an application identifier, device environment information, device room information, a storage space identifier and the like carried by the device information, and queries each cluster device associated with the device information in the content management database, thereby obtaining a target device cluster associated with the device information in the content management database.

202. Driving each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction to obtain detection feedback information of the distributed storage module;

after the storage module detection device obtains the target device cluster corresponding to the device fault diagnosis request, the storage module detection device also drives the distributed storage modules associated with the cluster devices in the target device cluster to perform detection interaction, and detection feedback information is generated.

Specifically, the storage module detection device sends a device fault detection instruction to each cluster device in each target device cluster, and drives the cluster device to perform detection interaction to the associated distributed storage module. That is, the cluster device is driven to send a device detection instruction to the associated distributed storage module, so as to perform detection interaction on the distributed storage module.

Specifically, the storage module detection device acquires storage feedback information returned by the distributed storage module according to the detection interaction and device feedback information of the cluster device, collects the storage feedback information and the device feedback information to generate detection feedback information of the cluster device and the distributed storage module, and performs fault diagnosis on the cluster device and the distributed storage module through the detection feedback information. Optionally, the detection feedback information includes a detection check code, detection feedback time, and other feedback characteristic parameters for characterizing the connection state of the device.

203. Positioning an abnormal storage module and associated abnormal cluster equipment in the target equipment cluster according to the detection feedback information and the storage type of the distributed storage module;

after the storage module detection device obtains the detection feedback information of the distributed storage modules, the abnormal storage modules in the target device cluster and the abnormal cluster devices related to the abnormal storage modules are located according to the detection feedback information.

Specifically, the storage module detection device obtains the storage type of each distributed storage module in the target device cluster and the device type of the cluster device corresponding to the distributed storage module. And generating a cluster state image of the target equipment cluster according to the storage type, the equipment type and the detection feedback information, and inputting the cluster state image into a preset storage detection model for coding, thereby obtaining the cluster state characteristics of the target equipment cluster.

Specifically, the storage module detection device analyzes the device feedback information, acquires the device type of each cluster device, generates a device node corresponding to the device type, and associates and inputs the device feedback information and the device node into a preset cluster image template, thereby generating a cluster state image. The cluster state image is a node connection image representing the operation connection relation of each cluster device in the device cluster. The connection relation is characterized in that interactive communication operation can be carried out between each cluster device and the cluster device and between each cluster device and the storage module detection device. Optionally, the cluster state image can also be displayed in a contiguous matrix form.

After the storage module detection device generates the cluster state image, the cluster state image is input into a preset storage detection model for feature extraction, so that the cluster state features corresponding to the cluster state image are obtained. The storage detection model may be a feature extraction model, the storage module detection device inputs the cluster state image into the storage detection model, and feature extraction is performed on the adjacent matrix in the cluster state image through the storage detection model, so as to obtain the cluster state feature of the cluster state image.

After the storage module detection device obtains the cluster state characteristics of each cluster device and each distributed storage module in the cluster state image, the abnormal cluster device corresponding to the abnormal storage module and the abnormal storage module is positioned according to the cluster state characteristics.

Specifically, the storage module detection device inputs the cluster state characteristics into a full connection layer in the storage detection model to perform characteristic classification processing, so as to obtain the storage connection characteristics of each cluster device and the distributed storage module in the cluster state characteristics;

the storage module detection device also obtains a preset disconnection characteristic after obtaining the storage connection characteristic of each cluster device and the distributed storage module in the cluster state characteristic, wherein the preset disconnection characteristic is a characteristic parameter representing abnormal connection between the cluster device and the distributed storage module. The storage module detection equipment calculates the feature similarity of the storage connection feature and a preset disconnection feature and compares the feature similarity with a preset disconnection threshold value;

optionally, if the feature similarity is greater than the preset similarity, the storage module detection device determines that the storage connection feature with the feature similarity greater than the preset disconnection threshold is an abnormal connection feature, and sets the distribution storage module and the cluster device corresponding to the abnormal connection feature as an abnormal storage module and an abnormal cluster device.

Optionally, the storage module detection device may further be configured to locate the abnormal storage module and the abnormal cluster device by obtaining the detection check code and the detection feedback time in the detection feedback information.

204. And calculating the storage connection health degree of the abnormal storage module and the abnormal cluster equipment, and outputting an equipment detection result corresponding to the storage connection health degree.

After the storage module detection device locates each abnormal storage module and abnormal cluster device in the target device cluster, the storage module detection device also calculates the storage connection health degree between the abnormal storage module and the abnormal cluster device, and outputs a device detection result corresponding to the storage connection health degree.

Specifically, the storage module detection device acquires detection feedback information of the abnormal storage module and the abnormal cluster device, and acquires a feedback characteristic parameter in the detection feedback information. After obtaining the feedback characteristic parameters in the detection feedback information, the storage module detection device also accesses a preset weight database to obtain the characteristic weights corresponding to the feedback characteristic parameters in the weight database.

After the storage module detection equipment acquires the feedback characteristic parameters and the corresponding characteristic weights of the detection feedback information, the feedback characteristic parameters are input into a preset health degree module to be calculated to obtain the characteristic health degrees of the feedback characteristic parameters, the characteristic health degrees are weighted through the characteristic weights, the sum of each weighted characteristic health degree is acquired, and therefore the storage connection health degree between the abnormal storage module and the abnormal cluster equipment is generated.

After the storage connection health degree is obtained, the storage module detection device also obtains a device detection result corresponding to the storage connection health degree, wherein the device detection result is prompt information representing the abnormal state degree of the connection state between the abnormal storage module and the abnormal cluster device.

And after the storage module detection equipment acquires the equipment detection results of the abnormal storage module and the abnormal cluster equipment, outputting the equipment detection result in a preset display area.

In this embodiment, a storage module detection device obtains a target device cluster corresponding to a storage module detection request by responding to the storage module detection request; driving each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction, so as to obtain detection feedback information of the distributed storage module;

positioning an abnormal storage module and associated abnormal cluster equipment in the target equipment cluster according to the detection feedback information and the storage type of the distributed storage module; and calculating the storage connection health degree of the abnormal storage module and the abnormal cluster equipment, and outputting an equipment detection result corresponding to the storage connection health degree. The abnormal storage module and the abnormal cluster equipment in the equipment cluster can be quickly positioned, the equipment detection results of the abnormal storage module and the abnormal cluster equipment can be accurately output according to the storage connection health degree, and the detection efficiency and the detection accuracy are improved.

As shown in fig. 3, fig. 3 is a schematic flowchart of an embodiment of locating an abnormal memory module in the memory module detection method provided in the embodiment of the present application, and specifically includes steps 301 to 303:

301. acquiring a preset detection check code and a preset feedback time threshold;

302. acquiring a detection check code of a preset target field in the detection feedback information and detection feedback time corresponding to the detection feedback information;

303. if the detection check code is not matched with the detection check code and/or the detection feedback time is greater than the feedback time threshold, setting a distributed storage module corresponding to the detection feedback information as an abnormal storage module, and setting cluster equipment corresponding to the abnormal storage module as abnormal cluster equipment.

Based on the foregoing embodiment, in this embodiment, the storage module detection device presets a detection verification code and a feedback time threshold for detecting the connection state of the device. After the storage module detection device acquires the detection feedback information of the cluster device and the corresponding distributed storage device, the abnormal storage module and the abnormal cluster device are positioned by acquiring the detection check code and the detection feedback time in the detection feedback information.

Specifically, the detection module detection device obtains a detection check code of a preset target field in the detection feedback information and the detection feedback time of the detection feedback information. And the storage module detection equipment is matched through the detection check code and the detection verification code to obtain a detection matching result. And the storage module detection equipment also compares the detection feedback time with a feedback time threshold value to obtain a time comparison result, so that the equipment connection state of the distributed storage module and the cluster equipment is determined.

Optionally, if the detection check code is the same as the detection check code, and the detection feedback time is less than the feedback time threshold, the storage module detection device determines that the detection matching result is a successful match, and the time comparison result is that the feedback is not overtime, and the storage module detection device determines that the device connection state of the distributed storage module and the cluster device is a normal connection state.

Optionally, if the detection check code is different from the detection check code or the detection feedback time is greater than the feedback time threshold, the storage module detection device determines that the detection matching result is a matching failure or the time comparison result is that the feedback is overtime, the storage module detection device determines that the device connection state of the distributed storage module and the cluster device is an abnormal connection state, the storage module detection device marks the distributed storage module in the abnormal connection state as an abnormal storage module, and marks the cluster device corresponding to the abnormal storage module as an abnormal cluster device.

In this embodiment, the storage module detection device obtains a preset detection check code and a preset feedback time threshold; acquiring a detection check code of a preset target field in the detection feedback information and detection feedback time corresponding to the detection feedback information; if the detection check code is not matched with the detection check code, and/or the detection feedback time is greater than the feedback time threshold, setting the distributed storage module corresponding to the detection feedback information as an abnormal storage module, and setting the cluster equipment corresponding to the abnormal storage module as abnormal cluster equipment. And realizing the rapid positioning of abnormal cluster equipment and an abnormal storage module in the target equipment cluster.

As shown in fig. 4, fig. 4 is a schematic flowchart of an embodiment of determining a device detection result in the storage module detection method provided in the embodiment of the present application, and specifically includes steps 401 to 403:

401. acquiring a preset health degree detection interval and a health detection threshold value of the health degree detection interval;

402. if the storage connection health degree does not exceed the health detection threshold, setting a connection health grade corresponding to the health degree detection interval as an abnormal connection grade of the storage connection health degree;

403. and acquiring a device detection result corresponding to the abnormal connection grade, and outputting the device detection result.

Based on the foregoing embodiment, in this embodiment, after the storage module detection device calculates the storage connection health degrees of the abnormal storage module and the abnormal cluster device, the storage module detection device further determines the device detection results of the abnormal storage module and the abnormal cluster device according to the storage connection health degrees.

Specifically, the storage module detection device establishes health degree detection intervals corresponding to different device evaluation states in advance. And different health detection thresholds are set for different health detection intervals. The health detection threshold value of each health degree detection interval comprises a first detection threshold value and a second detection threshold value, and the first detection threshold value is smaller than the second detection threshold value.

Specifically, the storage module detection device compares the storage connection health degrees of the abnormal storage module and the abnormal cluster device with the health detection threshold values of the health detection intervals, so as to determine the health detection interval in which the storage connection health degree is located, and further determine the abnormal connection grade of the abnormal storage module and the abnormal cluster device.

Optionally, if the storage connection health degree is greater than a first detection threshold of a health degree detection interval and smaller than a second detection threshold of the health degree detection interval, it is determined that the storage connection health degree does not exceed the health detection threshold of the health degree detection interval, and the connection health level corresponding to the health degree detection interval is set as the abnormal connection level of the storage connection health degree. And the abnormal connection grade is a quantization grade representing the equipment connection state of the abnormal storage module and the abnormal cluster equipment. Optionally, in a specific application scenario, the abnormal connection level is divided into a normal abnormal level and an emergency abnormal level.

Specifically, the storage module detection device presets device detection results corresponding to different abnormal connection levels, acquires a device detection result corresponding to the abnormal connection level after acquiring the abnormal connection levels of the abnormal storage module and the abnormal cluster device, and outputs the device detection result. The equipment evaluation result is a quantitative result and maintenance suggestion information of the connection state of the abnormal storage module and the abnormal cluster equipment. In one embodiment, the abnormal connection level is an emergency abnormal level, and the equipment evaluation result is that the health condition is poor, obvious abnormal fault signs appear in middle or later period, and the equipment needs to be overhauled immediately.

In the embodiment, a storage module detection device obtains a preset health degree detection interval and a health detection threshold value of the health degree detection interval; if the storage connection health degree does not exceed the health detection threshold, setting a connection health grade corresponding to the health degree detection interval as an abnormal connection grade of the storage connection health degree; and acquiring the equipment detection result corresponding to the abnormal connection grade, and outputting the equipment detection result. The abnormal storage module and the abnormal cluster equipment are accurately output according to the storage connection health degree, and the detection efficiency and the detection accuracy are improved.

In order to better implement the memory module detection method in the embodiment of the present application, based on the memory module detection method, an embodiment of the present application further provides a memory module detection apparatus, as shown in fig. 5, where fig. 5 is a schematic structural diagram of an embodiment of the memory module detection apparatus provided in the embodiment of the present application. The memory module detecting apparatus 500 includes:

a cluster obtaining module 501, configured to respond to a storage module detection request, and obtain a target device cluster corresponding to the storage module detection request;

a detection interaction module 502 configured to drive each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction, so as to obtain detection feedback information of the distributed storage module;

an anomaly locating module 503 configured to locate an anomaly storage module and associated anomaly cluster equipment in the target equipment cluster according to the detection feedback information and the storage type of the distributed storage module;

a connection analysis module 504 configured to calculate a storage connection health degree of the abnormal storage module and the abnormal cluster device, and output a device detection result corresponding to the storage connection health degree.

In some embodiments of the present application, the storage module detecting apparatus locates an abnormal storage module and an associated abnormal cluster device in the target device cluster according to the detection feedback information and the storage type of the distributed storage module, including:

and positioning the abnormal storage module and abnormal cluster equipment corresponding to the abnormal storage module according to the cluster state characteristics.

In some embodiments of the present application, the determining, by the storage module detecting device, the storage connection state of the distributed storage module and the abnormal cluster device according to the storage connection feature includes:

calculating the feature similarity of the stored connection feature and a preset disconnection feature, and comparing the feature similarity with a preset disconnection threshold value;

In some embodiments of the present application, a storage module detecting apparatus locates an abnormal storage module and associated abnormal cluster devices in the target device cluster according to the detection feedback information and the storage type of the distributed storage module, including:

acquiring a preset detection check code and a preset feedback time threshold;

In some embodiments of the present application, a storage module detecting apparatus calculates a storage connection health degree of the abnormal storage module and the abnormal cluster device, and outputs a device detection result corresponding to the storage connection health degree, including:

In some embodiments of the present application, the outputting, by the storage module detecting device, the device detection result corresponding to the storage connection health degree includes:

and acquiring the equipment detection result corresponding to the abnormal connection grade, and outputting the equipment detection result.

In some embodiments of the present application, a storage module detecting apparatus, in response to a storage module detection request, acquires a target device cluster corresponding to the storage module detection request, including:

acquiring equipment dimension parameters in the storage module detection request, wherein the equipment dimension parameters comprise at least one of an equipment identifier, an application identifier, a machine room dimension identifier and an equipment sub-environment identifier;

In this embodiment, the storage module detection apparatus obtains a target device cluster corresponding to a storage module detection request by responding to the storage module detection request; driving each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction, so as to obtain detection feedback information of the distributed storage module;

An embodiment of the present invention further provides a storage module detection device, as shown in fig. 6, fig. 6 is a schematic structural diagram of an embodiment of the storage module detection device provided in the embodiment of the present application.

The storage module detection device integrates any one of the storage module detection devices provided by the embodiments of the present invention, and the storage module detection device includes:

one or more processors;

a memory; and

one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to perform the steps of the memory module detection method described in any of the above embodiments of the memory module detection method.

Specifically, the method comprises the following steps: the memory module detection apparatus may include components such as a processor 601 of one or more processing cores, memory 602 of one or more computer-readable storage media, a power supply 603, and an input unit 604. Those skilled in the art will appreciate that the memory module detection device configuration shown in FIG. 6 does not constitute a limitation of the memory module detection device, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components. Wherein:

the processor 601 is a control center of the memory module test apparatus, connects various parts of the entire memory module test apparatus using various interfaces and lines, and performs various functions of the memory module test apparatus and processes data by running or executing software programs and/or modules stored in the memory 602 and calling data stored in the memory 602, thereby performing overall monitoring of the memory module test apparatus. Alternatively, processor 601 may include one or more processing cores; preferably, the processor 601 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 601.

The memory 602 may be used to store software programs and modules, and the processor 601 executes various functional applications and data processing by operating the software programs and modules stored in the memory 602. The memory 602 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to the use of the storage module detection apparatus, and the like. Further, the memory 602 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 602 may also include a memory controller to provide the processor 601 with access to the memory 602.

The storage module detection device further comprises a power supply 603 for supplying power to each component, and preferably, the power supply 603 may be logically connected to the processor 601 through a power management system, so as to implement functions of managing charging, discharging, power consumption management and the like through the power management system. The power supply 603 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.

The memory module detecting device may further include an input unit 604, and the input unit 604 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

Although not shown, the storage module detecting device may further include a display unit and the like, which are not described herein. Specifically, in this embodiment, the processor 601 in the storage module detection device loads the executable file corresponding to the process of one or more application programs into the memory 602 according to the following instructions, and the processor 601 runs the application program stored in the memory 602, thereby implementing various functions as follows:

It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions, or by instructions controlling associated hardware, which may be stored in a computer-readable storage medium and loaded and executed by a processor.

To this end, an embodiment of the present invention provides a computer-readable storage medium, which may include: read Only Memory (ROM), random Access Memory (RAM), magnetic or optical disks, and the like. The computer program is loaded by a processor to execute the steps of any one of the storage module detection methods provided by the embodiments of the present invention. For example, the computer program may be loaded by a processor to perform the steps of:

driving each cluster device in the target device cluster and a distributed storage module corresponding to the cluster device to perform connection detection interaction to obtain detection feedback information of the distributed storage module;

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and parts that are not described in detail in a certain embodiment may refer to the above detailed descriptions of other embodiments, which are not described herein again.

In a specific implementation, each unit or structure may be implemented as an independent entity, or may be combined arbitrarily to be implemented as one or several entities, and the specific implementation of each unit or structure may refer to the foregoing method embodiment, which is not described herein again.

The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.

The foregoing describes in detail a memory module detection method provided in an embodiment of the present application, and a specific example is applied in the description to explain the principle and the implementation of the present invention, and the description of the foregoing embodiment is only used to help understanding the method and the core idea of the present invention; meanwhile, for those skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed, and in summary, the content of the present specification should not be construed as limiting the present invention.

Claims

1. A storage module detection method is characterized by comprising the following steps:

2. The storage module detection method of claim 1, wherein said locating anomalous storage modules and associated anomalous cluster devices in the target device cluster based on the detection feedback information and storage types of the distributed storage modules comprises:

3. The storage module detection method of claim 2, wherein the determining the storage connection status of the distributed storage module and the abnormal cluster device according to the storage connection characteristic comprises:

4. The storage module detection method of claim 1, wherein said locating abnormal storage modules and associated abnormal cluster devices in the target device cluster according to the detection feedback information and the storage types of the distributed storage modules comprises:

acquiring a preset detection check code and a preset feedback time threshold;

if the detection check code is not matched with the detection check code and/or the detection feedback time is greater than the feedback time threshold, setting a distributed storage module corresponding to the detection feedback information as an abnormal storage module, and setting cluster equipment corresponding to the abnormal storage module as abnormal cluster equipment.

5. The storage module detection method according to claim 1, wherein the calculating the storage connection health degrees of the abnormal storage module and the abnormal cluster device and outputting the device detection result corresponding to the storage connection health degrees comprises:

6. The method for detecting the storage module according to claim 5, wherein the outputting the device detection result corresponding to the storage connection health degree comprises:

7. The storage module detection method according to any one of claims 1 to 6, wherein the obtaining, in response to the storage module detection request, a target device cluster corresponding to the storage module detection request includes:

8. A memory module testing apparatus, comprising:

the cluster acquisition module is configured to respond to a storage module detection request and acquire a target device cluster corresponding to the storage module detection request;

and the connection analysis module is configured to calculate the storage connection health degrees of the abnormal storage module and the abnormal cluster equipment and output an equipment detection result corresponding to the storage connection health degree.

9. A memory module test apparatus, comprising:

one or more processors;

a memory; and

one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor to implement the steps of the storage module detection method of any of claims 1 to 7.

10. A computer-readable storage medium, having stored thereon a computer program which is loaded by a processor for performing the steps of the storage module detection method of any one of claims 1 to 7.