WO2019028988A1

WO2019028988A1 - Data processing method, electronic device and computer readable storage medium

Info

Publication number: WO2019028988A1
Application number: PCT/CN2017/104534
Authority: WO
Inventors: 何刘兴
Original assignee: 上海壹账通金融科技有限公司
Priority date: 2017-08-10
Filing date: 2017-09-29
Publication date: 2019-02-14
Also published as: CN107589907A; CN107589907B

Abstract

A data processing method, an electronic device and a computer readable storage medium, being able to effectively save system resources. The data processing method above comprises: monitoring an operation event regarding various data in a cache (101); when it is detected that an operation event regarding any type of data in the cache, updating the score of the data of a corresponding type according to the type to which the current operated data belongs, and a pre-set scoring algorithm associated with the type of the currently detected operation event (102); when a pre-set persistence condition is satisfied, determining persistent data volume of various types of data according to scoring intervals to which the real-time scores of various types of data in the cache belongs (103); and performing persistence of the various types of data in the cache according to the determined persistent data volume of the various types of data (104).

Description

[0001] This application claims the priority of the Chinese Patent Application, filed on Aug. 10, 2017, the application Serial No. 201710680232.X, entitled "Data Processing Method, Electronic Device, and Computer Readable Storage Media", The entire contents of this application are incorporated herein by reference.

Technical field

The present application relates to the field of data processing technologies, and in particular, to a data processing method, an electronic device, and a computer readable storage medium.

Background technique

[0003] In order to pursue the practicality of data analysis, the traditional real data analysis system will cache some data (intermediate data or result data) in memory for later use, avoiding reading the disk, thereby increasing the speed, but the system crashes. Or power outage can result in loss of memory data.

[0004] Although there are currently schemes for periodically persisting cached data, the process of persistence requires a certain amount of system resources, and excessive persistence may result in unnecessary waste of system resources.

technical problem

The present application provides a data processing method, an electronic device, and a computer readable storage medium for saving system resources.

Problem solution

Technical solution

The first aspect of the present application provides a data processing method, including:

[0008] listening for operational events for various types of data in the cache;

[0009] When an operation event for any type of data in the cache is monitored, based on the type of data currently being operated, and a preset scoring algorithm associated with the type of the currently monitored operation event, the update is corresponding a score of the type of data, wherein each type of data corresponds to a score, and the initialized score of each type of data is a preset value; [0010] When the preset persistence condition satisfies 吋, the persistent data amount of each type of data is determined based on the scoring interval in which the scores of the various types of data in the cache are located, wherein different scoring intervals correspond to different persistent data. the amount;

[0011] persisting various types of data in the cache based on the determined amount of persistent data of various types of data.

[0012] A second aspect of the present application provides an electronic device, including: a memory, a processor, and computer readable instructions stored on the memory and executable on the processor, wherein the processor executes the computer readable The instruction 吋 implements the following steps:

[0013] listening for operational events for various types of data in the cache;

[0014] when an operation event for any type of data in the cache is monitored, based on the type to which the currently operated data belongs, and a preset scoring algorithm associated with the type of the currently monitored operation event, updating the corresponding a score of the type of data, wherein each type of data corresponds to a score, and the initialized score of each type of data is a preset value;

[0015] When the preset persistence condition satisfies 吋, based on the scoring interval in which the scores of the various types of data in the cache are located, the persistent data amount of each type of data is determined, wherein different scoring intervals correspond to different persistent data. the amount;

[0016] Persistence of various types of data in the cache based on the determined amount of persistent data of various types of data.

[0017] The third aspect of the present application provides an electronic device, including:

[0018] a monitoring module, configured to listen to an operation event for various types of data in the cache;

[0019] an update module, configured to: when the listening module listens to an operation event for any type of data in the cache, based on a type to which the currently operated data belongs, and a preset and currently monitored operation event a type-associated scoring algorithm, which updates a score of a corresponding type of data, wherein each type of data corresponds to a score, and the initialized score of each type of data is a preset value;

[0020] a determining module, configured to determine, according to a scoring interval in which the scores of the various types of data in the cache are located, the persistent data amount of each type of data is determined, wherein different scoring intervals are corresponding to each other Different amounts of persistent data;

[0021] The persistence module is configured to persist the various types of data in the cache based on the amount of persistent data of the various types of data determined by the determining module.

[0022] A fourth aspect of the present application provides a computer readable storage medium, where the computer readable storage medium is stored Having computer readable instructions, the computer readable instructions being executed by at least one processor, the steps of:

[0023] listening for operational events on various types of data in the cache;

[0024] when an operation event for any type of data in the cache is monitored, based on the type to which the currently operated data belongs, and a pre-designed sub-algorithm associated with the type of the currently-listed operational event, updating the corresponding type a score of the data, wherein each type of data corresponds to a score, and the initialized score of each type of data is a preset value;

[0025] When the preset persistence condition satisfies 吋, the amount of persistent data of each type of data is determined based on the scoring interval of the scores of the various types of data, wherein different scoring intervals correspond to different persistent data amounts; 0026] Persistence of various types of data in the cache based on the determined amount of persistent data of various types of data.

Advantageous effects of the invention

Beneficial effect

[0027] It can be seen that, in the solution of the present application, the scores of the corresponding types of data are updated based on the monitored operation events for various types of data, and when the preset persistence conditions are satisfied, based on various types of data in the cache. The scoring interval of the score of 吋 determines the amount of persistent data of various types of data, and persists various types of data in the cache based on the determined amount of persistent data of various types of data. Since the different scoring intervals correspond to different amounts of persistent data, and the scores of the various types of data are obtained based on the monitored operational events of the corresponding categories of data, the data in the cache can be persisted by the solution of the present application. Resolving, the persistence of various types of data is related to operational events, thereby avoiding wasted system resources caused by persisting all cached data each time, saving system resources to a certain extent.

Brief description of the drawing

DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings to be used in the embodiments or the prior art description will be briefly described below, and obviously, in the following description The drawings are only some of the embodiments of the present application, and other drawings may be obtained from those skilled in the art without departing from the drawings.

1 is a schematic flow chart of an embodiment of a data processing program method provided by the present application;

2 is a schematic structural diagram of an embodiment of an electronic device provided by the present application; [0031] FIG. 3 is a schematic structural diagram showing the structure of a function module of a data processing program provided by the present application.

[0032] Embodiments of the present application

[0033] In order to make the object, the features and the advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present application will be clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present application. The described embodiments are only a part of the embodiments of the present application, and not all of them. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

[0034] Embodiment 1

[0035] A data processing method is described in the embodiment of the present application. Referring to FIG. 1, the data processing method in the embodiment of the present application includes:

[0036] Step 101: Listen to an operation event for each type of data in the cache;

[0037] In the embodiment of the present application, the buffer is a data exchange buffer (also referred to as a Cache in some embodiments), and the cache is a high-speed data exchange memory. Since the cache runs much faster than the memory, the role of the cache is to help the hardware run faster. Therefore, in order to pursue the practicality of data analysis, some data (such as intermediate data or result data) is usually stored in the cache. For later use, to improve data reading speed. The cache can contain multiple types of data, for example, in redis (redis is a key-val ue storage system) cache, the types of data can be divided into the following five types: String (string), List (list), Hash ( Hash), Set (unordered and non-repeating collections), and ZSet (ordered and non-repeating collections). Specifically, the classification of the data in the cache may be implemented by referring to the prior art, and details are not described herein again.

[0038] In step 101, an operation event for various types of data in the cache may be monitored, so as to proceed to step 102 after listening to the above operation event.

[0039] Step 102: When an operation event for any type of data in the cache is monitored, based on a type to which the currently operated data belongs, and a pre-designed sub-algorithm associated with the type of the currently monitored operation event, updating The score of the corresponding type of data;

[0040] In the embodiment of the present application, each type of data corresponds to a score, and the initialized score of each type of data is a preset value. For example, the initialization score of each type of data can be set to 0 in advance.

[0041] In the embodiment of the present application, an associated scoring algorithm may be set in advance for each operation event. When an operation event for any type of data in the cache is listened to, based on the type of data currently being operated on, And a pre-designed sub-algorithm associated with the type of the currently monitored operational event, updating the score of the corresponding type of data.

[0042] In an application scenario, the score interval in which the score is located may be positively correlated with the amount of persistent data, that is, the higher the score interval in which the score of a certain type of data is, the persistence of the data. The amount of data is also higher. In this application scenario, when an update event is detected, the requirement for the updated data to be persisted is considered to be small, and thus the score of the data can be subtracted, and when the insertion event and the query event are monitored, the The data for the corresponding category is more important, so you can increase the score for that type of data. Therefore, the step 102 may include: if the type of the currently monitored operation event is a query event, adding a score of the corresponding type of data to the preset first score based on the type of the currently operated data Updating the score of the corresponding type of data; if the type of the currently monitored operation event is an insertion event, adding a score of the corresponding type of data to the preset second score based on the type of the currently operated data Updating the score of the corresponding type of data; if the type of the currently monitored operation event is an update event, subtracting the score of the corresponding type of data from the preset third score based on the type of the currently operated data The score for the corresponding type of data.

[0043] Of course, the embodiment of the present application may also preset other scoring algorithms for different types of operation events. The above operational events may include but are not limited to: query events, insert events, and update events, which are not limited herein.

[0044] Step 103: When the preset persistence condition is satisfied, determining a persistent data amount of each type of data based on a score interval in which the scores of the various types of data in the cache are in the cache;

[0045] As can be seen from the foregoing, in the embodiment of the present application, different scoring intervals correspond to different persistent data amounts. When the pre-established persistence condition is satisfied, the amount of persistent data of each type of data is determined based on the scoring interval in which the scores of the various types of data in the cache are located.

[0046] In an application scenario, the preset persistence condition may be: a distance interval from a previous execution of the persistence to a preset interval threshold. Step 103 may include: determining a persistent data amount of each type of data based on a scoring interval in which the scores of the various types of data are performed, when the interval between the previous executions of the previous durations reaches a preset interval threshold. That is, step 103 may determine the amount of persistent data of each type of data for a periodicity interval based on the scores of various types of data.

[0047] Of course, the above persistence conditions may also include other conditions or set to other conditions, for example, in the above Based on the first application scenario, the above persistence conditions may further include: a preset control is triggered (for example, a button named "Start Persistence" is triggered). Step 103 may include: when the preset control is triggered, determining the persistent data of each type of data based on the scoring interval of the scores of the various data entities

[0048] Step 104: Perform persistence on various types of data in the cache based on the determined amount of persistent data of each type of data;

[0049] In the embodiment of the present application, based on the persistent data amount of each type of data determined in step 103, each type of data in the cache is persisted. For example, when the amount of persistent data of the character string data determined in step 103 is 20 megabytes, the string data in the cache is persisted and the amount of persistent data is not more than 20 megabytes. It should be noted that when the amount of data of a certain type of data in the cache is smaller than the amount of persistent data determined in step 103, the data in the cache can be persisted.

[0050] Optionally, after the data of the corresponding category is persisted, the score of the data of the corresponding category may also be reset, so that the score of the data of the corresponding category is restored to the score of the initial group.

[0051] Optionally, in the step of persisting the various types of data in step 104, the method further includes: prioritizing the high priority data priority. In the embodiment of the present application, high priority may be set for part of data (for example, important data), so that this part of data can be preferentially persisted in the process of persistence to reduce the probability of losing important data.

[0052] It should be noted that the foregoing persistence refers to a process of saving data in a cache to a storage device (for example, a disk) that can be permanently saved. The specific process of persistence can be implemented by referring to the prior art, and will not be described here.

[0053] Optionally, in order to further reduce the probability of data loss, the data processing method in the embodiment of the present application may further include: when the data arrives in the buffer, the preset effective time associated with the data, Persistence of data that achieves the above effective time. Specifically, by default, all data in the cache can be set to a fixed value in the cache, such as a small number, after a piece of data is stored in the cache.

, persisting the data (for example, removing the data from the cache and persisting it to a disk or database). Alternatively, an operation interface may be provided in the embodiment of the present application, where the user can customize the effective time of a certain data in the cache, and whether the user is persistent in the effective time, if the user selects the effective time to proceed Persistence, when the data reaches the preset in the cache The data is effectively correlated with the data, and the data is persisted.

[0054] It is to be noted that the data processing method in the embodiment of the present application may be implemented by a data processing device, and the data processing device may be integrated into an electronic device such as a mobile phone, a server, a personal computer, or the like, which is not limited herein.

[0055] It can be seen that, in the embodiment of the present application, the scores of the corresponding types of data are updated based on the monitored operation events for various types of data, and when the preset persistence conditions are satisfied, based on various types of data in the cache. The scoring interval in which the score of the actual score is located determines the amount of persistent data of each type of data, and persists various types of data in the cache based on the determined amount of persistent data of various types of data. Since the different scoring intervals correspond to different amounts of persistent data, and the scores of the various types of data are obtained based on the monitored operational events of the corresponding categories of data, the data in the cache can be persisted by the solution of the present application. Resolving, the persistence of various types of data is related to operational events, thereby avoiding wasted system resources caused by persisting all cached data each time, saving system resources to a certain extent.

[0056] Embodiment 2

[0057] Corresponding to the data processing method according to the first embodiment, FIG. 2 is a schematic diagram showing the operating environment of the computer readable instructions (for example, the data processing program) related to the data processing method provided by the embodiment of the present application, The description only shows the parts related to the embodiments of the present application.

[0058] In the embodiment of the present application, the foregoing data processing program is installed and runs in an electronic device. The electronic device may include, but is not limited to, one or more memories 21 (only one is shown), one or more processors 22 (only one is shown), and the above-described memory 21 and processor 22 are connected by a bus 23. . Figure 2 shows only the electronic device with components 21-23, but it should be understood that not all illustrated components may be implemented, and more components (e.g., displays, etc.) or fewer components may be implemented instead.

[0059] The memory 21 may be an internal storage unit of an electronic device, such as a hard disk or memory of the electronic device, in some embodiments. The memory 21 may also be an external storage device of the electronic device in other embodiments, such as a plug-in hard disk equipped with an electronic device, a smart memory card (SMC), and a Secure Digital (SD) card. Flash card (Flash

Card) and so on. Further, the memory 21 may also include both an internal storage unit of the electronic device and an external storage device. The memory 21 is used to store application software installed on an electronic device and various types of data, such as program codes of the above data processing program. The memory 21 can also be used to temporarily store the output or The data that will be output.

[0060] The processor 22 may be a Central Processing Unit (CPU) in some embodiments.

, a microprocessor or other data processing chip for running program code or processing data stored in the memory 21, for example, executing the above data processing program and the like.

[0061] Further, based on FIG. 2, please refer to FIG. 3. FIG. 3 is a functional block diagram of a data processing program corresponding to the data processing method according to Embodiment 1 according to an embodiment of the present application. In the embodiment of the present application, the data processing program may be divided into one or more modules, and the one or more modules are stored in the memory 21 and are processed by one or more processors (the processor 22 in this embodiment). ) executed to complete the application. For example, in Fig. 3, the above data processing program can be divided into a listening module 31, an updating module 32, a determining module 33, and a persistence module 34. A module as referred to in the present application refers to a series of computer readable instruction instruction segments capable of performing a specific function, which is more suitable than the program for describing the execution of the above data processing program in the above electronic device. The following description will specifically describe the functions of the listening module 31, the updating module 32, the determining module 33, and the persistence module 34.

[0062] The monitoring module 31 is configured to listen to an operation event for each type of data in the cache;

[0063] The update module 32 is configured to: when the listening module 31 monitors an operation event for any type of data in the cache, based on a type to which the currently operated data belongs, and a preset and currently monitored operation event a type-associated scoring algorithm, which updates a score of a corresponding type of data, wherein each type of data corresponds to a score, and the initialized score of each type of data is a preset value;

[0064] The determining module 33 is configured to determine, according to a scoring interval in which the scores of the various types of data in the cache are located, the persistent data amount of each type of data is determined, wherein different scoring intervals are used. Corresponding to different amounts of persistent data;

[0065] The persistence module 34 is configured to persist the various types of data in the cache based on the amount of persistent data of the various types of data determined by the determining module 33.

[0066] Optionally, the above-mentioned scoring interval is positively correlated with the amount of persistent data. The update module 32 is specifically configured to: if the type of the operation event currently monitored by the monitoring module 31 is a query event, add the score of the corresponding type of data to the preset first score based on the type of the currently operated data. a value to update the score of the corresponding type of data; if the type of the operation event currently being monitored by the listening module 31 is an insertion event, the score of the corresponding type of data is added to the preset based on the type of the currently operated data. Second point a value to update the score of the corresponding type of data; if the type of the operation event currently monitored by the listening module 31 is an update event, the score of the corresponding type of data is subtracted from the preset based on the type of the currently operated data. The third score, the score of the corresponding type of data.

[0067] Optionally, the persistence module 34 is further configured to: prioritize high priority data.

[0068] Optionally, the determining module 33 is specifically configured to: when the distance between the previous execution of the persistent interval reaches a preset interval threshold, determine each of the score intervals based on the scores of the various types of data The amount of persistent data for class data.

[0069] Optionally, the persistence module 34 is further configured to: when the data arrives in the cache, the preset valid data associated with the data, and the data that reaches the valid time is persisted.

[0070] It should be understood that the electronic device in the embodiment of the present application may be used to implement all the technical solutions in the foregoing method embodiments, and the parts that are not detailed and mentioned in the embodiments of the present application may be referred to the foregoing method embodiments. Description, no longer repeat here.

[0071] It can be seen that, in the embodiment of the present application, the scores of the corresponding types of data are updated based on the monitored operation events for various types of data, and when the preset persistence conditions are satisfied, based on various types of data in the cache. The scoring interval in which the score of the actual score is located determines the amount of persistent data of each type of data, and persists various types of data in the cache based on the determined amount of persistent data of various types of data. Since the different scoring intervals correspond to different amounts of persistent data, and the scores of the various types of data are obtained based on the monitored operational events of the corresponding categories of data, the data in the cache can be persisted by the solution of the present application. Resolving, the persistence of various types of data is related to operational events, thereby avoiding wasted system resources caused by persisting all cached data each time, saving system resources to a certain extent.

[0072] For convenience and brevity of description, only the division of each functional unit and module described above is exemplified. In practical applications, the above-mentioned function assignment can be completed by different functional units and modules as needed, that is, the inside of the above device. The structure is divided into different functional units or modules to perform all or part of the functions described above. Each functional unit and module in the embodiment may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit, and the integrated unit may be implemented by hardware. Formal implementation can also be implemented in the form of software functional units. In addition, the specific names of the functional units and modules are only for the purpose of distinguishing from each other, and are not intended to limit the scope of protection of the present application. The specific working process of the unit and module in the above system can be referred to The corresponding processes in the foregoing method embodiments are not described herein.

[0073] Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the various examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods for implementing the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present application.

[0074] In the embodiments provided by the present application, it should be understood that the disclosed apparatus and method can be implemented in other manners. For example, the system embodiment described above is merely illustrative. For example, the division of the above module or unit is only a logical function division, and the actual implementation may have another division manner, for example, multiple units or components may be combined. Either can be integrated into another system, or some features can be ignored, or not executed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in electrical, mechanical or other form.

[0075] The units described above as separate components may or may not be physically distributed, and the components displayed as the units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple networks. On the unit. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules.

[0077] The integrated modules described above, if implemented in the form of software functional modules and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the embodiments of the present application may contribute to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage. The medium includes a plurality of instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform all or part of the above steps of the various embodiments of the embodiments of the present application. The foregoing storage medium includes: a USB flash drive, a mobile hard disk, and a read only memory (R) OM, Read-Only Memory), Random Access Memory (RAM)

) A variety of media that can store program code, such as a disk or a disc.

The above-mentioned embodiments are only used to explain the technical solutions of the present application, and are not limited thereto; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that The technical solutions described in the examples are modified, or some of the technical features are equivalently replaced; and the modifications or substitutions do not deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in Within the scope of protection of this application.

Claims

Claim

[Claim 1] A data processing method, comprising:

Listen for operational events for various types of data in the cache;

When an operation event for any type of data in the cache is monitored, the corresponding type of data is updated based on the type of the currently operated data and the preset scoring algorithm associated with the type of the currently monitored operation event. a score, where each type of data corresponds to a score

, and the initialization score of each type of data is a preset value;

When the preset persistence condition satisfies 吋, the amount of persistent data of each type of data is determined based on the scoring interval in which the scores of the various types of data in the cache are located, wherein different scoring intervals correspond to different amounts of persistent data;

Persistence of various types of data in the cache based on the determined amount of persistent data of various types of data

[Claim 2] The data processing method according to claim 1, wherein the scoring interval is positively correlated with the amount of persistent data;

Updating the score of the corresponding type of data based on the type of the current data for the operation and the preset scoring algorithm associated with the type of the currently monitored operation event, including:

If the type of the currently monitored operation event is a query event, based on the type of the currently operated data, the score of the corresponding type of data is added to the preset first score to update the score of the corresponding type of data. ;

If the type of the currently monitored operation event is an insertion event, the score of the corresponding type of data is added to the preset second score based on the type of the currently operated data to update the score of the corresponding type of data;

If the type of the currently monitored operation event is an update event, the score of the corresponding type of data is subtracted from the preset third score based on the type of the currently operated data, with the score of the corresponding type of data.

[Claim 3] The data processing method according to claim 1 or 2, wherein a high priority is set in advance for part of the data; The persistent data volume based on the determined various types of data persists various types of data in the cache, including:

Prioritize high priority data.

[Claim 4] The data processing method according to claim 1 or 2, wherein, when the preset persistence condition satisfies 吋, the score interval based on the score of the various types of data in the cache is Determine the amount of persistent data for each type of data, including:

When the interval between the previous execution of the persistence reaches the preset interval threshold, the persistent data of each type of data is determined based on the score interval in which the scores of the various data are actually calculated.

[Claim 5] The data processing method according to claim 1 or 2, wherein the data processing method further comprises:

When the data arrives at the preset effective time associated with the data in the buffer, the data reaching the valid time is persisted.

[Claim 6] An electronic device, comprising: a memory, a processor, and computer readable instructions stored on the memory and executable on the processor, the processor executing the computer Read the command to achieve the following steps:

Listen for operational events for various types of data in the cache;

When an operation event for any type of data in the cache is monitored, the corresponding type of data is updated based on the type of the currently operated data and the preset scoring algorithm associated with the type of the currently monitored operation event. a score, where each type of data corresponds to a score, and the initialized score of each type of data is a preset value;

[Claim 7] The electronic device according to claim 6, wherein the scoring interval is positively correlated with the amount of persistent data; Updating the score of the corresponding type of data based on the type of the current data for the operation and the preset scoring algorithm associated with the type of the currently monitored operation event, including:

[Claim 8] The electronic device according to claim 6 or 7, wherein a high priority is set in advance for part of the data;

The persistent data volume based on the determined various types of data persists various types of data in the cache, including:

Prioritize high priority data.

[Claim 9] The electronic device according to claim 6 or 7, wherein, when the preset persistence condition satisfies 吋, the score interval based on the score of each type of data in the cache is determined. The amount of persistent data for all types of data, including:

[Claim 10] The electronic device according to claim 6 or 7, wherein the processor executes the computer readable instructions and further implements the following steps:

[Claim 11] An electronic device, comprising: a monitoring module, configured to listen to an operation event for various types of data in the cache; an update module, configured to: when the listening module listens to an operation event for any type of data in the cache, based on the data currently being operated a type, and a preset scoring algorithm associated with the type of the currently monitored operation event, updating a score of the corresponding type of data, wherein each type of data corresponds to a score, and the initialized score of each type of data is a preset value a determining module, configured to determine a persistent data amount of each type of data based on a scoring interval in which the scores of the various types of data in the cache are located when the preset persistence condition is satisfied, wherein different scoring intervals correspond to different persistent Amount of data

a persistence module for persisting various types of data in the cache based on the amount of persistent data of various types of data determined by the determining module.

[Claim 12] The electronic device according to claim 11, wherein the scoring interval is positively correlated with the amount of persistent data;

The update module is specifically configured to: if the type of the operation event currently monitored by the monitoring module is a query event, add a score of the corresponding type of data to the preset number based on the type of the currently operated data a score to update the score of the corresponding type of data; if the type of the operation event currently being monitored by the listening module is an insertion event, the score of the corresponding type of data is added based on the type of the currently operated data. a preset second score to update the score of the corresponding type of data; if the type of the operation event currently monitored by the listening module is an update event, the data of the corresponding type is based on the type of the currently operated data The score is subtracted from the preset third score, with the score of the corresponding type of data.

[Claim 13] The electronic device according to claim 11 or 12, wherein a high priority is set in advance for part of the data;

The persistence module is specifically configured to: prioritize high priority data.

[Claim 14] The electronic device according to claim 11 or 12, wherein the determining module is specifically configured to: when a distance between the previous execution of the persistence is reached by a preset interval threshold, Based on the scoring interval of the scores of various types of data, determine the holding of various types of data. Long-term data volume.

[Claim 15] The electronic device according to claim 11 or 12, wherein the persistence module is further configured to: when the data arrives in the cache, the preset effective time associated with the data吋, persisting the data that reaches the effective time.

[Claim 16] A computer readable storage medium having stored thereon computer readable instructions, wherein the computer readable instructions are executed by a processor to implement the following steps:

Listen for operational events for various types of data in the cache;

The computer readable storage medium according to claim 16, wherein the score interval is positively correlated with the amount of persistent data;

If the type of the currently monitored operation event is an insertion event, the score of the corresponding type of data is added to the preset second score based on the type of the currently operated data to update the score of the corresponding type of data; If the type of the currently monitored operation event is an update event, the score of the corresponding type of data is subtracted from the preset third score based on the type of the currently operated data, with the score of the corresponding type of data.

[Claim 18] The computer readable storage medium according to claim 16 or 17, wherein a high priority is set in advance for the partial data;

Prioritize high priority data.

[Claim 19] The computer readable storage medium according to claim 16 or 17, wherein, when the preset persistence condition satisfies 吋, the score based on the score of the various types of data in the cache is Interval, determining the amount of persistent data for each type of data, including:

[Claim 20] The computer readable storage medium according to claim 16 or 17, wherein the computer readable instructions are executed by a processor, further implementing the following steps: when the data arrives in the cache The effective time associated with the data is set to persist the data that reaches the effective time.