WO2021179488A1

WO2021179488A1 - Monitoring data storage method and device, server and storage medium

Info

Publication number: WO2021179488A1
Application number: PCT/CN2020/099395
Authority: WO
Inventors: 林水明
Original assignee: 平安科技（深圳）有限公司
Priority date: 2020-03-11
Filing date: 2020-06-30
Publication date: 2021-09-16
Also published as: CN111475105B; CN111475105A

Abstract

Disclosed is a monitoring data storage method. The method comprises: acquiring monitoring data, which corresponds, within a preset duration, to a monitoring item of a device to be monitored (S101); dividing monitoring performance information on the basis of timestamp information to obtain a plurality of target monitoring performance information sets (S102); respectively determining a preset storage node corresponding to each target monitoring performance information set by using a preset consistency algorithm (S103); and storing, in an associated manner and in the preset storage node corresponding to each target monitoring performance information set, timestamp information and monitoring performance information corresponding to each target monitoring performance information set (S104). A preset storage node corresponding to each target monitoring performance information set is determined by means of a preset consistency algorithm, and timestamp information and monitoring performance information corresponding to each target monitoring performance information set are stored in an associated manner in the corresponding preset storage node, such that the problem of continuous disk write-in operations during the storage of massive monitoring data can be avoided.

Description

Monitoring data storage method, equipment, server and storage medium

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on March 11, 2020, the application number is 202010165126.X, and the invention title is "Monitoring Data Storage Methods, Equipment, Servers and Storage Media". The entire content of the application is approved The reference is incorporated in this application.

Technical field

This application belongs to the field of data monitoring technology, and in particular relates to a monitoring data storage method, device, server, and storage medium.

Background technique

When performing data monitoring, the inventor realized that the current monitoring system requires high timeliness of data query and frequent read and write operations. Therefore, when storing monitoring data, the timeliness of query and read and write operations need to be considered. Convenience.

At present, storage solutions for massive monitoring data require continuous disk write operations, which makes it difficult to read and write during queries, and in scenarios with large query volumes, the timeliness of queries cannot be guaranteed.

technical problem

The storage solution for massive monitoring data requires continuous disk write operations, which makes it difficult to read and write during queries, and in scenarios with large query volumes, the timeliness of queries cannot be guaranteed.

Technical solutions

In view of this, the embodiments of the present application provide a monitoring data storage method, a server, a computing device, and a storage medium, which can avoid the problem of continuous disk write operations when storing massive monitoring data.

The first aspect of the embodiments of the present application provides a monitoring data storage method, including:

Acquiring monitoring data corresponding to at least one monitoring item of the device to be monitored within a preset time period, where the monitoring data includes monitoring performance information and time stamp information;

Dividing the monitoring performance information based on the time stamp information to obtain a plurality of target monitoring performance information sets, each of the target monitoring performance information sets including a plurality of continuous monitoring performance information;

Using a preset consistency algorithm to respectively determine the preset storage node corresponding to each of the target monitoring performance information sets;

The time stamp information corresponding to each target monitoring performance information set and the monitoring performance information are respectively associated and stored in the preset storage node corresponding to each target monitoring performance information set.

A second aspect of the embodiments of the present application provides a monitoring data storage device, including:

An acquiring module, configured to acquire monitoring data corresponding to at least one monitoring item of the equipment to be monitored within a preset time period, where the monitoring data includes monitoring performance information and time stamp information;

A dividing module, configured to divide the monitoring performance information based on the time stamp information to obtain a plurality of target monitoring performance information sets, each of the target monitoring performance information sets includes a plurality of continuous monitoring performance information;

The determining module is configured to use a preset consistency algorithm to separately determine the preset storage node corresponding to each of the target monitoring performance information sets;

The storage module is configured to associate and store the time stamp information and the monitoring performance information corresponding to each target monitoring performance information set to the preset storage node corresponding to each target monitoring performance information set.

The third aspect of the embodiments of the present application provides a server, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program When implementing the following steps:

The fourth aspect of the application embodiments provides a computer-readable storage medium storing a computer program, wherein the computer program is executed by a processor to implement the following steps:

Beneficial effect

This application divides the monitoring performance information based on the time stamp information to obtain multiple target monitoring performance information sets; and uses a preset consistency algorithm to determine the preset storage node corresponding to each target monitoring performance information set, and The time stamp information and monitoring performance information corresponding to each of the target monitoring performance information sets are stored in association with the corresponding preset storage node, which can avoid the problem of continuous disk write operations when storing massive monitoring data.

Description of the drawings

In order to more clearly describe the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only of the present application. For some embodiments, for those of ordinary skill in the art, other drawings may be obtained based on these drawings without creative labor.

FIG. 1 is an implementation flowchart of the monitoring data storage method provided by the first embodiment of the present application;

Figure 2 is a specific implementation flow chart of S103 in Figure 1;

FIG. 3 is a schematic diagram of a structure in which the first hash value and the second hash value are respectively mapped on a hash circle;

FIG. 4 is an implementation flowchart of the monitoring data storage method provided by the second embodiment of the application;

FIG. 5 is an implementation flowchart of the monitoring data storage method provided by the third embodiment of the present application;

FIG. 6 is an implementation flowchart of the monitoring data storage method provided by the fourth embodiment of the present application;

FIG. 7 is a schematic structural diagram of a monitoring data storage device provided by an embodiment of the present application;

Fig. 8 is a schematic structural diagram of a server provided by an embodiment of the present application.

Embodiments of the present invention

In the following description, for the purpose of illustration rather than limitation, specific details such as a specific system structure and technology are proposed for a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from obstructing the description of this application.

In order to illustrate the technical solutions described in the present application, specific embodiments are used for description below. As shown in FIG. 1, it is an implementation flowchart of the monitoring data storage method provided by the first embodiment of the present application. This embodiment may be implemented by hardware or software of a monitoring data storage device, and the monitoring data storage device may be a server. Specifically, the details are as follows:

S101: Obtain monitoring data corresponding to at least one monitoring item of a device to be monitored within a preset time period, where the monitoring data includes monitoring performance information and time stamp information.

Understandably, the equipment to be monitored usually includes multiple monitoring items, and each of the monitoring items corresponds to preset performance information. Understandably, the monitoring items can be determined according to monitoring strategies, and different monitoring strategies correspond to different There are no specific restrictions on the monitoring items.

During the operation of the equipment to be monitored, in order to ensure the normal operation of the equipment to be monitored and when a failure occurs, it is necessary to monitor each monitoring item and obtain the monitoring corresponding to the preset performance information. Performance information.

Wherein, in this embodiment, the monitoring data includes monitoring performance information and time stamp information. Specifically, a time stamp (timestamp) indicates that a piece of data has existed before a certain time, is complete and verifiable. Data, usually a sequence of characters, is used to uniquely identify a certain moment of time.

Understandably, since monitoring data is closely related to monitoring time, when analyzing monitoring data, a preset time period is required. As the preset time period increases, the monitoring data will also increase. When the number increases to a certain extent, to store the monitoring data, it is necessary to consider the convenience of read and write operations and the timeliness of query.

S102: Divide the monitoring performance information based on the timestamp information to obtain multiple target monitoring performance information sets, each of the target monitoring performance information sets includes a plurality of continuous monitoring performance information.

Understandably, the monitoring performance information is continuous information. The same time stamp information usually corresponds to multiple continuous monitoring performance information. The monitoring performance information can be divided based on the time stamp information. For example, in a In an optional implementation manner, the dividing the monitoring performance information based on the time stamp information to obtain multiple target monitoring performance information sets includes: dividing the monitoring performance information with the same time stamp information into the same target Monitor performance information to obtain multiple sets of target monitoring performance information. Understandably, each of the target monitoring performance information sets includes multiple contacted monitoring performance information.

S103: Using a preset consistency algorithm, respectively determine a preset storage node corresponding to each of the target monitoring performance information sets.

In an optional implementation manner, the consistency algorithm is a consistent hash algorithm, and the preset consistency algorithm is used to separately determine the preset storage nodes corresponding to each of the target monitoring performance information sets, include:

Using a consistent hashing algorithm, the preset storage nodes corresponding to each of the target monitoring performance information sets are respectively determined.

Specifically, as shown in FIG. 2, it is a specific implementation flowchart of S103 in FIG. 1. It can be seen from Figure 2 that S103 includes:

S1031: Calculate the first hash value corresponding to each of the target monitoring performance information sets and the second hash value corresponding to each of the preset storage nodes by using a preset hash algorithm.

Among them, the preset hash algorithm includes MD5 algorithm, hash algorithm, etc. In this embodiment, it is assumed that the preset hash algorithm is the MD5 algorithm, and the MD5 algorithm is used to calculate the corresponding information of each target monitoring performance information set. The first hash value, for example, the first hash value is respectively expressed as: key1, key2, ..., key(n-1), where n is an integer.

The MD5 algorithm is used to calculate the second hash value corresponding to each of the preset storage nodes. For example, the second hash value is expressed as: KEY1, KEY2, ..., KEY(nk), where k≤n .

S1032: Map the first hash value and the second hash value on a hash circle with a preset number space according to a preset mapping rule to obtain the first hash value and The first mapping relationship between the second hash values.

Wherein, the preset mapping rule is to determine the starting position of the mapping, and then from the starting position to search the preset number space corresponding to the hash circle clockwise, for example, in this example, the hash The ring has 2 ⁿ digital spaces, and the first hash value and the second hash value are respectively mapped to the corresponding digital spaces to obtain one of the first hash value and the second hash value The first mapping relationship between.

Specifically, as shown in FIG. 3, it is a schematic structural diagram in which the first hash value and the second hash value are respectively mapped on a hash circle. In Figure 3, 0 is the starting position of the mapping, corresponding to the first digital space; 2 ⁿ is the ending position of the mapping, corresponding to the 2 ^n- th digital space. In FIG. 3, for convenience of observation, the first hash value and the second hash value are not mapped at the ^{2n position.}

It can be seen from FIG. 3 that there is a one-to-one mapping relationship between the first hash value and the second hash value. Understandably, when the number of the target monitoring performance information set exceeds the number of the number space preset by the hash circle, starting from the starting position, the hash circle is searched again clockwise The preset digital space corresponding to the ring remaps the first hash value corresponding to the redundant target monitoring performance information set on the hash circle to cover the previous first hash value.

S1033: Determine the preset storage node corresponding to each target monitoring performance information set according to the first mapping relationship.

Understandably, since each of the target monitoring performance information sets corresponds to a unique first hash value, each of the preset storage nodes also corresponds to a unique second hash value. Therefore, according to the first The mapping relationship can respectively determine the preset storage node corresponding to each target monitoring performance information set.

S104. The time stamp information corresponding to each target monitoring performance information set and the monitoring performance information are respectively associated and stored in the preset storage node corresponding to each target monitoring performance information set.

From the foregoing analysis, it can be seen that the monitoring data storage method provided by the embodiment of the present application divides the monitoring performance information based on the time stamp information to obtain multiple target monitoring performance information sets; and uses a preset consistency algorithm to determine each The preset storage node corresponding to the target monitoring performance information set, associates the time stamp information and monitoring performance information corresponding to each target monitoring performance information set to the corresponding preset storage node, which can avoid storing massive monitoring data The problem of continuous disk write operations.

As shown in Figure 4, it is a flowchart of the implementation of the monitoring data storage method provided by the second embodiment of the application. It can be seen from FIG. 4 that compared with the embodiment shown in FIG. 1, the specific implementation process of S401~S404 is the same as that of S101~S104. The difference is that S405, S404 and S405 are included after S404. To execute the relationship sequentially, specifically, the detailed process of S405 is as follows:

S405: Perform read and write operations on the monitored performance information stored by the preset storage node based on the time stamp information.

Understandably, the monitoring performance information stored by each of the preset storage nodes is the monitoring performance information included in the same target monitoring performance information set, and the same target monitoring performance information set corresponds to the same time stamp information. Therefore, Performing read and write operations on the monitoring performance information stored by the preset storage node directly based on the time stamp information to improve the convenience of the read and write operations.

As shown in FIG. 5, it is a flow chart of the implementation of the monitoring data storage method provided by the third embodiment of the present application. It can be seen from FIG. 5 that compared with the embodiment shown in FIG. 1, the specific implementation process of S501~S504 is the same as the specific implementation process of S101~S104. The difference is that after S504, it also includes S505~S506. Among them, S505 and S504 are in a sequential execution relationship. Specifically, the specific implementation process of S505~S506 is as follows:

S505: Establish index information corresponding to each of the target performance information sets.

Wherein, the index information corresponding to each target performance information set is unique. In this example, the index information corresponding to each target performance information set may be each target performance information set. The corresponding timestamp information, or the first hash value, or can be identified by a preset index term, which is not specifically limited here.

S506: Generate a second mapping relationship between the index information and the preset storage node.

Since there is a first mapping relationship between the preset storage node and the target performance information set, after the index information corresponding to each target performance information set is established, the first mapping relationship and each target performance information set may be established according to the first mapping relationship and each target performance information set. The index information corresponding to the target performance information set is used to generate a second mapping relationship between the index information and the preset storage node.

It can be seen from the above analysis that, on the basis of the embodiment shown in FIG. 1, this embodiment establishes index information corresponding to each of the target performance sets, and generates a relationship between the index information and the preset storage node. The second mapping relationship. In the query process, the corresponding target monitoring performance information set may be queried from the preset storage node based on the second mapping relationship, so as to improve the timeliness of query.

Specifically, as shown in FIG. 6, it is an implementation flowchart of the monitoring data storage method provided by the fourth embodiment of the present application. It can be seen from FIG. 6 that compared with the embodiment shown in FIG. 5, the specific implementation process of S601~S606 is the same as the specific implementation process of S501~S506. The difference is that after S606 it also includes S607, S607 and S606. For the sequential execution relationship, the details are as follows:

S607: When the query request information is detected, query the target monitoring performance information set corresponding to the index information in the query request information from the preset storage node based on the second mapping relationship.

It can be seen from the above analysis that, on the basis of the embodiment shown in FIG. 5, the embodiment of the present application searches for all corresponding index information in the query request information from the preset storage node based on the second mapping relationship. The target monitoring performance information collection. Improve the timeliness of monitoring data query.

Fig. 7 is a schematic structural diagram of a monitoring data storage device provided by an embodiment of the present application. It can be seen from FIG. 7 that the monitoring data storage device 7 provided by the embodiment of the present application includes:

The obtaining module 701 is configured to obtain monitoring data corresponding to at least one monitoring item of the device to be monitored within a preset time period, where the monitoring data includes monitoring performance information and time stamp information;

The dividing module 702 is configured to divide the monitoring performance information based on the time stamp information to obtain a plurality of target monitoring performance information sets, each of the target monitoring performance information sets includes a plurality of continuous monitoring performance information;

The determining module 703 is configured to use a preset consistency algorithm to separately determine the preset storage node corresponding to each of the target monitoring performance information sets;

The storage module 704 is configured to associate the time stamp information and the monitoring performance information corresponding to each target monitoring performance information set to the preset storage node corresponding to each target monitoring performance information set. .

In an optional implementation manner, it also includes:

The read and write module is configured to perform read and write operations on the monitored performance information stored by the preset storage node based on the time stamp information.

In an optional implementation manner, the division module is specifically configured to:

The monitoring performance information with the same time stamp information is divided into the same target monitoring performance information, and multiple target monitoring performance information sets are obtained.

In an optional implementation manner, the determining module is specifically configured to:

In an optional implementation manner, the determining module includes:

A calculation unit, configured to use a preset hash algorithm to separately calculate a first hash value corresponding to each of the target monitoring performance information sets, and a second hash value corresponding to each of the preset storage nodes;

The mapping unit is configured to respectively map the first hash value and the second hash value on a hash circle with a preset number space according to a preset mapping rule to obtain the first hash value. A first mapping relationship between the hope value and the second hash value;

The determining unit is configured to separately determine the preset storage node corresponding to each target monitoring performance information set according to the first mapping relationship.

In an optional implementation manner, it further includes:

An establishment module, configured to separately establish index information corresponding to each of the target performance information sets;

The generating module is configured to generate a second mapping relationship between the index information and the preset storage node.

In an optional implementation manner, it also includes:

The query module is configured to query the target monitoring performance information set corresponding to the index information in the query request information from the preset storage node based on the second mapping relationship when the query request information is detected .

Fig. 8 is a schematic structural diagram of a server provided by an embodiment of the present application. As shown in FIG. 8, the server 8 of this embodiment includes a processor 80, a memory 81, and a computer program 82 stored in the memory 81 and running on the processor 80, such as a monitoring data storage program. The processor 80 implements the steps in the foregoing embodiments of the monitoring data storage method when the computer program 82 is executed, such as steps 101 to 104 shown in FIG. 1.

Exemplarily, the computer program 82 may be divided into one or more modules/units, and the one or more modules/units are stored in the memory 81 and executed by the processor 80 to complete the application. The one or more modules/units may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program 82 in the server 8. For example, the computer program 82 can be divided into an acquisition module, a division module, a determination module, and a storage module (modules in the virtual device), and the specific functions of each module are as follows:

An acquisition module, configured to acquire monitoring data corresponding to at least one monitoring item of the equipment to be monitored within a preset time period, where the monitoring data includes monitoring performance information and time stamp information;

Those skilled in the art can clearly understand that, for the convenience and conciseness of description, only the division of the above functional units and modules is used as an example. In practical applications, the above functions can be allocated to different functional units and modules as needed. Module completion, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist alone physically, or two or more units can be integrated into one unit. The above-mentioned integrated units can be hardware-based Formal realization can also be realized in the form of a software functional unit. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the present application. For the specific working process of the units and modules in the foregoing system, reference may be made to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the above-mentioned embodiments, the description of each embodiment has its own focus. For parts that are not described in detail or recorded in an embodiment, reference may be made to related descriptions of other embodiments.

A person of ordinary skill in the art may realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of this application.

In the embodiments provided in this application, it should be understood that the disclosed device/terminal device and method may be implemented in other ways. For example, the device/terminal device embodiments described above are only illustrative. For example, the division of the modules or units is only a logical function division, and there may be other divisions in actual implementation, such as multiple units. Or components can be combined or integrated into another system, or some features can be omitted or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple communication units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

In addition, the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or software functional unit.

If the integrated module/unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, this application implements all or part of the procedures in the above-mentioned embodiments and methods, and can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be non-volatile or volatile; when the computer program is executed by the processor, the steps of the foregoing method embodiments may be implemented. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file, or some intermediate forms. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory) , Random Access Memory (RAM, Random Access Memory), electrical carrier signal, telecommunications signal, and software distribution media, etc. It should be noted that the content contained in the computer-readable medium can be appropriately added or deleted according to the requirements of the legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to the legislation and patent practice, the computer-readable medium Does not include electrical carrier signals and telecommunication signals.

The above-mentioned embodiments are only used to illustrate the technical solutions of the present application, not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still implement the foregoing The technical solutions recorded in the examples are modified, or some of the technical features are equivalently replaced; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the application, and should be included in Within the scope of protection of this application.

Claims

A monitoring data storage method, which includes:

Acquiring monitoring data corresponding to at least one monitoring item of the device to be monitored within a preset time period, where the monitoring data includes monitoring performance information and time stamp information;

Dividing the monitoring performance information based on the time stamp information to obtain a plurality of target monitoring performance information sets, each of the target monitoring performance information sets including a plurality of continuous monitoring performance information;

Using a preset consistency algorithm to respectively determine the preset storage node corresponding to each of the target monitoring performance information sets;

The time stamp information corresponding to each target monitoring performance information set and the monitoring performance information are respectively associated and stored in the preset storage node corresponding to each target monitoring performance information set.
The monitoring data storage method according to claim 1, wherein the time stamp information corresponding to each of the target monitoring performance information sets and the included monitoring performance information are respectively stored in association with each of the targets. After monitoring the preset storage nodes corresponding to each of the performance information sets, the method further includes:

Perform read and write operations on the monitoring performance information stored by the preset storage node based on the time stamp information.
3. The monitoring data storage method according to claim 2, wherein the dividing the monitoring performance information based on the time stamp information to obtain multiple target monitoring performance information sets includes:

The monitoring performance information with the same time stamp information is divided into the same target monitoring performance information, and multiple target monitoring performance information sets are obtained.
The monitoring data storage method according to any one of claims 1 to 3, wherein the using a preset consistency algorithm to separately determine the preset storage nodes corresponding to each of the target monitoring performance information sets comprises:

Using a consistent hashing algorithm, the preset storage nodes corresponding to each of the target monitoring performance information sets are respectively determined.
8. The monitoring data storage method according to claim 4, wherein said using a consistent hashing algorithm to respectively determine the preset storage node corresponding to each said target monitoring performance information set comprises:

Respectively calculating the first hash value corresponding to each of the target monitoring performance information sets and the second hash value corresponding to each of the preset storage nodes by using a preset hash algorithm;

According to preset mapping rules, the first hash value and the second hash value are respectively mapped on a hash circle with a preset number space to obtain the first hash value and the The first mapping relationship between the second hash values;

According to the first mapping relationship, the preset storage nodes corresponding to each of the target monitoring performance information sets are respectively determined.
The monitoring data storage method according to claim 5, wherein the time stamp information corresponding to each of the target performance information sets and the included performance information are respectively stored in association with each of the target performance information After the preset storage nodes corresponding to each of the collections, include:

Respectively establishing index information corresponding to each of the target performance information sets;

Generate a second mapping relationship between the index information and the preset storage node.
8. The monitoring data storage method according to claim 6, wherein after said generating the second mapping relationship between the index information and the preset storage node, the method further comprises:

When the query request information is detected, query the target monitoring performance information set corresponding to the index information in the query request information from the preset storage node based on the second mapping relationship.
A monitoring data storage device, which includes:

An acquisition module, configured to acquire monitoring data corresponding to at least one monitoring item of the equipment to be monitored within a preset time period, where the monitoring data includes monitoring performance information and time stamp information;

A dividing module, configured to divide the monitoring performance information based on the time stamp information to obtain a plurality of target monitoring performance information sets, each of the target monitoring performance information sets includes a plurality of continuous monitoring performance information;

The determining module is configured to use a preset consistency algorithm to separately determine the preset storage node corresponding to each of the target monitoring performance information sets;

The storage module is configured to associate and store the time stamp information and the monitoring performance information corresponding to each target monitoring performance information set to the preset storage node corresponding to each target monitoring performance information set.
A server includes a memory, a processor, and a computer program that is stored in the memory and can run on the processor, wherein the processor implements the following steps when the processor executes the computer program:

Acquiring monitoring data corresponding to at least one monitoring item of the device to be monitored within a preset time period, where the monitoring data includes monitoring performance information and time stamp information;

Dividing the monitoring performance information based on the time stamp information to obtain a plurality of target monitoring performance information sets, each of the target monitoring performance information sets including a plurality of continuous monitoring performance information;

Using a preset consistency algorithm to respectively determine the preset storage node corresponding to each of the target monitoring performance information sets;

The time stamp information corresponding to each target monitoring performance information set and the monitoring performance information are respectively associated and stored in the preset storage node corresponding to each target monitoring performance information set.
The server according to claim 9, wherein the time stamp information corresponding to each of the target monitoring performance information sets and the included monitoring performance information are respectively stored in association with each of the target monitoring performance information After the preset storage nodes corresponding to each of the collections, the method further includes:

Perform read and write operations on the monitoring performance information stored by the preset storage node based on the time stamp information.
The server according to claim 10, wherein said dividing said monitoring performance information based on said time stamp information to obtain a plurality of target monitoring performance information sets comprises:

The monitoring performance information with the same time stamp information is divided into the same target monitoring performance information, and multiple target monitoring performance information sets are obtained.
The server according to any one of claims 9 to 11, wherein said using a preset consistency algorithm to separately determine the preset storage node corresponding to each of the target monitoring performance information sets comprises:

Using a consistent hashing algorithm, the preset storage nodes corresponding to each of the target monitoring performance information sets are respectively determined.
The server according to claim 12, wherein said using a consistent hashing algorithm to respectively determine the preset storage nodes corresponding to each of said target monitoring performance information sets comprises:

Respectively calculating the first hash value corresponding to each of the target monitoring performance information sets and the second hash value corresponding to each of the preset storage nodes by using a preset hash algorithm;

According to preset mapping rules, the first hash value and the second hash value are respectively mapped on a hash circle with a preset number space to obtain the first hash value and the The first mapping relationship between the second hash values;

According to the first mapping relationship, the preset storage nodes corresponding to each of the target monitoring performance information sets are respectively determined.
The server according to claim 13, wherein the time stamp information corresponding to each of the target performance information sets and the included performance information are respectively stored in association with each of the target performance information sets corresponding to each of the target performance information sets. After the said preset storage node, it includes:

Respectively establishing index information corresponding to each of the target performance information sets;

Generate a second mapping relationship between the index information and the preset storage node.
The server according to claim 14, wherein after said generating the second mapping relationship between the index information and the preset storage node, the method further comprises:

When the query request information is detected, query the target monitoring performance information set corresponding to the index information in the query request information from the preset storage node based on the second mapping relationship.
A computer-readable storage medium storing a computer program, wherein the computer program is executed by a processor to implement the following steps:

Acquiring monitoring data corresponding to at least one monitoring item of the device to be monitored within a preset time period, where the monitoring data includes monitoring performance information and time stamp information;

Dividing the monitoring performance information based on the time stamp information to obtain a plurality of target monitoring performance information sets, each of the target monitoring performance information sets including a plurality of continuous monitoring performance information;

Using a preset consistency algorithm to respectively determine the preset storage node corresponding to each of the target monitoring performance information sets;

The time stamp information corresponding to each target monitoring performance information set and the monitoring performance information are respectively associated and stored in the preset storage node corresponding to each target monitoring performance information set.
The storage medium according to claim 16, wherein the time stamp information corresponding to each of the target monitoring performance information sets and the included monitoring performance information are respectively stored in association with each of the target monitoring performance information sets. After the respective preset storage nodes corresponding to the information sets, it further includes:

Perform read and write operations on the monitoring performance information stored by the preset storage node based on the time stamp information.
17. The storage medium of claim 17, wherein the dividing the monitoring performance information based on the time stamp information to obtain multiple target monitoring performance information sets includes:

The monitoring performance information with the same time stamp information is divided into the same target monitoring performance information, and multiple target monitoring performance information sets are obtained.
18. The storage medium according to any one of claims 16 to 18, wherein the respectively determining the preset storage node corresponding to each of the target monitoring performance information sets by using a preset consistency algorithm comprises:

Using a consistent hashing algorithm, the preset storage nodes corresponding to each of the target monitoring performance information sets are respectively determined.
22. The storage medium according to claim 19, wherein said using a consistent hashing algorithm to respectively determine the preset storage nodes corresponding to each of said target monitoring performance information sets comprises:

Respectively calculating the first hash value corresponding to each of the target monitoring performance information sets and the second hash value corresponding to each of the preset storage nodes by using a preset hash algorithm;

According to preset mapping rules, the first hash value and the second hash value are respectively mapped on a hash circle with a preset number space to obtain the first hash value and the The first mapping relationship between the second hash values;

According to the first mapping relationship, the preset storage nodes corresponding to each of the target monitoring performance information sets are respectively determined.