CN112988391B - Data processing method, device, device and storage medium - Google Patents

Abstract

Embodiments of the present disclosure relate to a data processing method, device, device, and storage medium. The method includes: receiving a data acquisition request sent by a client; determining a target data boundary identifier in a data set based on the data acquisition request, and determining a target based on each of the data in the data set that does not exceed the target data boundary identifier data; wherein, the data demarcation identifier is used to characterize the storage order of the corresponding data stored in the data set; and the target data is sent to the client as a data acquisition response. Through the above technical solution, it is possible to obtain data from the same data set each time in the same session, avoiding the interference of new data, achieving the effect of data deduplication, reducing the memory consumption of the data deduplication process, and improving equipment performance.

Description

Data processing method, device, device and storage medium

technical field

The present disclosure relates to the field of computer technology, and in particular, to a data processing method, device, device and storage medium.

Background technique

In Internet products, there are a variety of real-time data pagination display scenarios, such as product information display scenarios in e-commerce systems, search results display scenarios in search engines, etc., and the data involved are all real-time modification, real-time addition, summary, etc. Constantly changing real-time data. These real-time data are limited by the size of the display screen of the client device, and are mostly loaded and displayed in the form of pages. In the process of displaying real-time data by paging, because the data in the server changes in real time, there may be duplication between the data loaded on the previous page and the data loaded on subsequent pages, resulting in low user experience.

At present, the method for deduplication of real-time data displayed by paging is mainly: in the client or server, cache the data of the displayed paging and the data of the pagination to be displayed, then compare these data, and eliminate duplicate data. However, this deduplication method consumes a lot of memory and reduces the performance of the client or server.

Contents of the invention

In order to solve the above technical problem or at least partly solve the above technical problem, the present disclosure provides a data processing method, device, device and storage medium.

An embodiment of the present disclosure provides a data processing method, the method comprising:

Receive the data acquisition request sent by the client;

Based on the data acquisition request, determine the target data boundary identifier in the data set, and determine the target data based on each of the data in the data set that does not exceed the target data boundary identifier; wherein, the data boundary identifier is used to represent the corresponding data storage The order of storage when arriving at said data set;

sending the target data to the client as a data acquisition response.

An embodiment of the present disclosure also provides a data processing device, which includes:

The data acquisition request receiving module is used to receive the data acquisition request sent by the client;

A target data determination module, configured to determine the target data boundary identifier in the data set based on the data acquisition request, and determine target data based on each of the data in the data set that does not exceed the target data boundary identifier; wherein, the data boundary The identifier is used to characterize the storage sequence when the corresponding data is stored in the data set;

A data acquisition response sending module, configured to send the target data to the client as a data acquisition response.

An embodiment of the present disclosure also provides an electronic device, the electronic device includes:

processor and memory;

The processor is used to execute the steps of the method in any embodiment of the present disclosure by invoking the programs or instructions stored in the memory.

An embodiment of the present disclosure also provides a computer-readable storage medium, where the computer-readable storage medium stores a program or an instruction, and the program or the instruction causes a computer to execute the steps of the method described in any embodiment of the present disclosure.

Compared with the prior art, the technical solution provided by the embodiment of the present disclosure has the following advantages: the data processing solution provided by the embodiment of the present disclosure, based on the data acquisition request sent by the client, determines the target data from the data set storing real-time data at the server Demarcation mark, with the help of the target data demarcation mark to divide the data set into two parts, one part is the target data demarcation mark in the data set and the data stored before it, which is called stored data; the other part is the target data demarcation mark in the dataset and stored The data of is called newly added data. And, according to the data acquisition request, the target data is determined from the stored data in the data set, and sent to the client as a data acquisition response. It realizes the acquisition of data from the stored data in the data set every time in the same session, avoids the interference of newly added data, and achieves the effect of data deduplication. Because the data cache operation is avoided, the memory impact of the data deduplication process is reduced. consumption, and because the data comparison operation is omitted, the performance of the server or client is improved.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description serve to explain the principles of the disclosure.

In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, In other words, other drawings can also be obtained from these drawings without paying creative labor.

FIG. 1 is a schematic flowchart of a data processing method provided by an embodiment of the present disclosure;

FIG. 2 is a schematic diagram of an interactive process based on a data processing method provided by an embodiment of the present disclosure;

FIG. 3 is a schematic flowchart of another data processing method provided by an embodiment of the present disclosure;

FIG. 4 is a schematic structural diagram of a data processing device provided by an embodiment of the present disclosure;

FIG. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure.

Detailed ways

In order to more clearly understand the above objects, features and advantages of the present disclosure, the solutions of the present disclosure will be further described in detail below. It should be noted that, in the case of no conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other.

In the following description, many specific details are set forth in order to fully understand the present disclosure, but the present disclosure can also be implemented in other ways than described here; obviously, the embodiments in the description are only some of the embodiments of the present disclosure, and Not all examples.

The data processing method provided by the embodiments of the present disclosure is mainly applicable to scenarios where non-repetitive real-time data is acquired according to a certain granularity (such as pagination or block, etc.), such as commodity information display scenarios in e-commerce systems, search engine The search result display scene, the feed stream data display scene, etc. The method can be executed by a data acquisition device, which can be realized by software and/or hardware, and the device can be integrated in an electronic device with a data storage function, such as a notebook computer, a desktop computer, or a server.

Fig. 1 is a flowchart of a data processing method provided by an embodiment of the present disclosure. Referring to Figure 1, the data processing method specifically includes:

S110. Receive a data acquisition request sent by the client.

The client sends a data acquisition request to the data processing device, so as to request to acquire the data to be displayed. The data acquisition request includes at least request parameters, that is, information about the data to be requested, such as the amount of requested data, information about the requested data, and the like.

S120. Based on the data acquisition request, determine a target data boundary identifier in the data set, and determine target data based on each data in the data set that does not exceed the target data boundary identifier.

Among them, the data set is a collection used to store various pieces of data, and the data in it will change in real time, such as adding new data, changing the location of data storage, and so on. The data demarcation mark is used to characterize the storage sequence when the corresponding data is stored in the data set. When each piece of data in the dataset is inserted into the dataset, the storage sequence will be determined for the corresponding data first, and then the data and its storage sequence will be inserted into the dataset together. The storage order here is the order in which data can be inserted into the data set. In some embodiments, the data demarcation identifier is the system time point or storage sequence number when the corresponding data is stored in the data set. The target data demarcation identifier is the data demarcation identifier corresponding to this session connection, which is used to isolate the old and new data in the data set, that is, the data set is divided into two parts, one part is the target data demarcation identifier in the data set and the data stored before it, called It is the stored data (old data); the other part is the data stored after the target data boundary mark in the data set, which is called newly added data (new data).

According to the information in the data acquisition request, the data processing device determines the target data boundary identifier suitable for the current session connection from the data boundary identifiers of each piece of data in the data set. Then, the data processing device obtains the data corresponding to the data acquisition request from the stored data as the target data, taking the target data demarcation mark as the boundary.

In some embodiments, in S120, based on the data acquisition request, determining the target data boundary identifier in the data set includes:

Step A, judging whether the data acquisition request is the first request of the current session.

After receiving the data acquisition request, the data processing device judges whether the data acquisition request is for the first request. For example, if the number of requests in the session information of the current session is 0, it is judged that the data acquisition request is the first request; otherwise, if the number of requests is greater than 0, it is judged that the data acquisition request is not the first request, which is called a follow-up request or a page turning request wait.

In some embodiments, step A includes: if the value of the initial data demarcation identifier carried in the data acquisition request is outside the value range of the data demarcation identifier, then determining that the data acquisition request is the first request of the current session; if the initial data If the value of the boundary identifier is within the value range, it is determined that the data acquisition request is not the first request of the current session. In addition to using the session information of the current session to determine whether the request is the first, the data processing device may also use the data boundary identifier (ie, the initial data boundary identifier) carried in the data acquisition request to determine. The initial data demarcation identifier may be a preset default value different from any data demarcation identifier, or may be a target data demarcation identifier transmitted by the data processing device to the client. Specifically, the value range of the data demarcation identifier may be predetermined, and it is predetermined that the initial data demarcation identifier must be included in the data acquisition request. If the initial data demarcation identifier carried in the data acquisition request is a default value or an invalid value such as a null value, then its value is outside the value range of the data demarcation identifier, and it is considered that the data processing device has not fed back the data demarcation identifier to the client , it is judged that the data acquisition request is the first request of the current session. If the value of the initial data demarcation identifier carried in the data acquisition request is within the value range of the data demarcation identifier, it is considered that the data processing device has fed back the data demarcation identifier to the client, and it is judged that the data acquisition request is not the first time of the current session ask. The advantage of this setting is that by interactively transmitting the target data demarcation mark as interactive data, it can be more convenient to determine whether it is the first request, and to determine the target data demarcation mark more quickly.

Step B. Determine the target data boundary mark in the data set based on the judgment result.

The data processing device may determine an appropriate way to determine the target data boundary identifier according to whether the request is for the first time, and then determine the correct target data boundary identifier.

In some embodiments, step B includes: if the data acquisition request is the first request of the current session, determining the data boundary identifier of the last data stored in the data set at the current moment as the target data boundary identifier. If the data acquisition request is the first request of the current session, then obtain the data boundary identifier of the last inserted piece of data in the data set at the current moment, and determine it as the target data boundary identifier of the current session.

In some embodiments, step B includes: if the data acquisition request is not the first request of the current session, determining the initial data boundary identifier carried in the data acquisition request as the target data boundary identifier. Considering that there is no insertion of new data in the stored data, it can ensure that there is relatively no change between the data, so the embodiments of the present disclosure set that the data in the same session connection are all obtained from the same data subset, that is, they are all obtained from the target data. Obtained from the stored data delimited by the demarcation identifier, so as to ensure that the data obtained by multiple requests in one session connection are not duplicated. In view of this, in the embodiment where the initial data boundary identifier is carried in the data acquisition request, the target data boundary identifier will be transmitted between the client and the server corresponding to the data processing device as fixed interaction data in a session connection. Therefore, if the data acquisition request is not the first request of the current session, then the initial data boundary identifier is the target data boundary identifier.

S130. Send the target data to the client as a data acquisition response.

The data processing device sends the target data to the client as a response to data acquisition.

In some embodiments, S130 includes: determining the target data and the target data boundary identifier as a data acquisition response, and sending the data acquisition response to the client. In the embodiment where the data acquisition request needs to include the initial data demarcation identifier, the data processing device also needs to send the target data demarcation identifier and the target data together as a data acquisition response to the client.

Referring to FIG. 2 , for the embodiment in which the target data demarcation identifier is included in the data acquisition response, the interaction process between the client and the data processing device during data processing is as follows: in the first request of the current session, the client carries the default value The initial data boundary identifier and request parameters are used to send a data acquisition request to the data processing device. The data processing device sends the target data and the target data boundary identifier as a data acquisition response to the client after processing according to S110-130. In the process of sending the subsequent data acquisition request, the client also carries the initial data demarcation identifier, but the content of the initial data demarcation identifier is no longer the default value, but the target data demarcation identifier. Then repeat the above interaction process until the current session ends. When a new session is established between the client and the server corresponding to the data processing device, the new target data demarcation identifier needs to be determined again according to the above process.

In the above technical solution of the embodiment of the present disclosure, based on the data acquisition request sent by the client, the target data demarcation identifier is determined from the data set storing real-time data at the server, and the data set is divided into two parts by means of the target data demarcation identifier. One part is the target data boundary identifier in the dataset and the data stored before it, called stored data; the other part is the data stored after the target data boundary identifier in the dataset, called newly added data. And, according to the data acquisition request, the target data is determined from the stored data in the data set, and sent to the client as a data acquisition response. It realizes the acquisition of data from the stored data in the data set every time in the same session, avoids the interference of newly added data, and achieves the effect of data deduplication. Because the data cache operation is avoided, the memory impact of the data deduplication process is reduced. consumption, and because the data comparison operation is omitted, the performance of the server or client is improved.

Fig. 3 is a flowchart of another data processing method provided by an embodiment of the present disclosure. It further optimizes "determining the target data demarcation mark in the data set based on the data acquisition request". The explanations of terms that are the same as or corresponding to the above-mentioned embodiments will not be repeated here. Referring to Figure 3, the data processing method includes:

S210. Receive a data acquisition request sent by the client.

S220. Determine the current session identifier based on the data acquisition request.

The data processing device determines the session information of the current session according to the data acquisition request, and determines the session identifier (ie, the current session identifier) from the session information.

S230. Based on the current session identifier, the correspondence between the session identifier and the data boundary identifier, determine a target data boundary identifier in the data set.

For the above-mentioned implementation method that uses the target data demarcation mark as interactive information for interactive transmission, considering the interaction process between the client and the server, there may be situations such as loss of interactive information or information tampering due to reasons such as the network, which may cause the target data corresponding to the current session to The demarcation mark is wrong, which may cause duplication of data obtained by different requests in the same session. Therefore, in some embodiments, the target data demarcation identifier determined in each session may be stored on the server side, that is, the corresponding relationship between the session identifier and the data demarcation identifier is stored. In this way, after the data processing device determines the current session identifier, it can find out the data demarcation identifier corresponding to the current session identifier from the stored correspondence, and determine the found data demarcation identifier as the target data demarcation identifier corresponding to the current session .

In some embodiments, S230 includes: if the current session identifier and the corresponding relationship meet the set conditions, then determine the data boundary identifier of the last stored data in the data set at the current moment as the target data boundary identifier; set the current session identifier and the target data boundary identifier , correspondingly stored in the corresponding relationship; where the set condition is that there is no current session identifier in the corresponding relationship, there is no data boundary identifier corresponding to the current session identifier in the corresponding relationship, or the value of the data boundary identifier corresponding to the current session identifier in the corresponding relationship It is outside the value range of the data boundary identifier. The data processing device queries the corresponding relationship between the session identifier and the data boundary identifier by using the current session identifier as an index. If there is no current session identifier in the corresponding relationship, or there is a current session identifier in the corresponding relationship, but there is no corresponding data boundary identifier, or there is a current session identifier and its corresponding data boundary identifier in the corresponding relationship, but the data boundary If the value of the identifier is outside the value range of the data boundary identifier of the data set, then it is considered that there is no target data boundary identifier corresponding to the current session in the corresponding relationship. At this time, the data boundary identifier of the last inserted piece of data in the data set at the current moment is obtained, and determined as the target data boundary identifier of the current session. At the same time, the current session identifier and the target data demarcation identifier need to be correspondingly stored in the above correspondence.

In some embodiments, S230 includes: if the value of the data boundary identifier corresponding to the current dialogue identifier in the corresponding relationship is within the value range of the data boundary identifier, determining the data boundary identifier corresponding to the current dialogue identifier as the target data boundary logo. If the data processing device finds the data demarcation identifier corresponding to the current session identifier from the corresponding relationship, and it is within the value range of the data demarcation identifier in the data set, then determine the found data demarcation identifier as the target corresponding to the current session Data demarcation mark.

S240. Determine the target data based on each data in the data set that does not exceed the boundary mark of the target data.

S250. Send the target data to the client as a data acquisition response.

In this embodiment, it is only necessary to send the target data to the client as a data acquisition response, and the target data boundary identifier will be stored in the corresponding relationship in the server.

In the above technical solution of the embodiment of the present disclosure, the current session identifier is determined based on the data acquisition request sent by the client; based on the current session identifier, the correspondence between the session identifier and the data boundary identifier, the target data boundary identifier in the data set is determined. It realizes storing the session ID of each session connection and its corresponding data demarcation ID in the server, and then determines the target data demarcation ID according to the current session ID to divide the data set, so that each data in the same session The acquisition request obtains data from the target data demarcation mark and its previous stored data, which avoids data duplication, simplifies the interaction information between the client and the server, and avoids data loss caused by errors in the target data demarcation mark during the interaction process. Pull duplicates to further improve data deduplication efficiency.

FIG. 4 is a schematic structural diagram of a data processing device provided by an embodiment of the present disclosure. The device can ensure that there is no duplicate data between data acquired at the same granularity (page or block, etc.) each time by executing a data processing method. As shown in Figure 4, the device includes:

A data acquisition request receiving module 410, configured to receive a data acquisition request sent by the client;

The target data determination module 420 is configured to determine the target data demarcation mark in the data set based on the data acquisition request, and determine the target data based on each data in the data set that does not exceed the target data demarcation mark; wherein, the data demarcation mark is used to represent the corresponding data storage The storage order when entering the data set;

A data acquisition response sending module 430, configured to send the target data to the client as a data acquisition response.

In some embodiments, target data determination module 420 includes:

The first request judging sub-module is used to judge whether the data acquisition request is the first request of the current session;

The target data demarcation mark determining submodule is configured to determine the target data demarcation mark in the data set based on the judgment result.

In some embodiments, the target data demarcation identifier determining submodule is specifically used for:

If the data acquisition request is the first request of the current session, determine the data boundary identifier of the last data stored in the data set at the current moment as the target data boundary identifier.

In some embodiments, the target data demarcation identifier determining submodule is specifically used for:

If the data acquisition request is not the first request of the current session, the initial data boundary identifier carried in the data acquisition request is determined as the target data boundary identifier.

In some embodiments, the first request judgment submodule is specifically used for:

If the value of the initial data demarcation identifier carried in the data acquisition request is outside the value range of the data demarcation identifier, then determine that the data acquisition request is the first request of the current session;

If the value of the initial data boundary identifier is within the value range, it is determined that the data acquisition request is not the first request of the current session.

In some embodiments, the data acquisition response sending module 430 is specifically used to:

Determine the target data and the target data boundary identifier as a data acquisition response, and send the data acquisition response to the client.

In some embodiments, target data determination module 420 includes:

The current session identifier determination submodule is used to determine the current session identifier based on the data acquisition request;

The target data demarcation identifier determining submodule is configured to determine the target data demarcation identifier in the data set based on the current session identifier, the correspondence between the session identifier and the data demarcation identifier.

In some embodiments, the target data demarcation identifier determining submodule is specifically used for:

If the current session identifier and the corresponding relationship meet the set conditions, then determine the data boundary identifier of the last data stored in the data set at the current moment as the target data boundary identifier;

Correspondingly store the current session identifier and the target data demarcation identifier in the corresponding relationship;

Wherein, the setting condition is that there is no current session identifier in the corresponding relationship, there is no data demarcation identifier corresponding to the current session identifier in the corresponding relationship, or the value of the data demarcation identifier corresponding to the current session identifier in the corresponding relationship is within the value range of the data demarcation identifier outside.

In some embodiments, the target data demarcation identifier determining submodule is specifically used for:

If the value of the data boundary identifier corresponding to the current dialogue identifier in the corresponding relationship is within the value range of the data boundary identifier, then the data boundary identifier corresponding to the current dialogue identifier is determined as the target data boundary identifier.

In some embodiments, the data demarcation identifier is the system time point or storage sequence number when the corresponding data is stored in the data set.

According to a data processing device provided by an embodiment of the present disclosure, based on the data acquisition request sent by the client, the target data boundary identifier is determined from the data set storing real-time data at the server, so that the data set can be divided into There are two parts, one part is the target data demarcation mark in the data set and the data stored before it, called stored data; the other part is the data stored after the target data demarcation mark in the data set, called newly added data. And, according to the data acquisition request, the target data is determined from the stored data in the data set, and sent to the client as a data acquisition response. It realizes the acquisition of data from the stored data in the data set every time in the same session, avoids the interference of newly added data, and achieves the effect of data deduplication. Because the data cache operation is avoided, the memory impact of the data deduplication process is reduced. consumption, and because the data comparison operation is omitted, the performance of the server or client is improved.

The data processing device provided by the embodiments of the present disclosure can execute the data processing method provided by any embodiment of the present disclosure, and has corresponding functional modules and beneficial effects for executing the method. It is worth noting that, in the embodiments of the data processing device above, the included modules and sub-modules are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be realized; in addition, each The specific names of the functional modules and sub-modules are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the present disclosure.

FIG. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure. As shown in FIG. 5 , an electronic device 500 includes one or more processors 501 and a memory 502 .

The processor 501 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 500 to perform desired functions.

Memory 502 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and/or cache memory (cache). The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, and the like. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 501 may execute the program instructions to implement the data processing methods of the embodiments of the present disclosure described above and/or other desired Function. Various contents such as data sets, data boundary identifiers, and session identifiers may also be stored in the computer-readable storage medium.

In an example, the electronic device 500 may further include: an input device 503 and an output device 504, and these components are interconnected through a bus system and/or other forms of connection mechanisms (not shown). The input device 503 may include, for example, a keyboard, a mouse, and the like. The output device 504 can output various information to the outside. The output device 504 may include, for example, a display, a speaker, a printer, a communication network and remote output devices connected thereto, and the like.

Of course, for simplicity, only some components related to the present disclosure in the electronic device 500 are shown in FIG. 5 , and components such as bus, input/output interface, etc. are omitted. In addition, according to specific application conditions, the electronic device 500 may further include any other appropriate components.

In addition to the above methods and devices, the embodiments of the present disclosure also provide a computer program product, which includes computer programs/instructions, and when the computer programs/instructions are executed by a processor, the processor executes the computer programs described in the embodiments of the present disclosure. Steps of the data processing method provided.

The computer program product can be written in any combination of one or more programming languages to execute the program codes for performing the operations of the embodiments of the present disclosure, and the programming languages include object-oriented programming languages, such as Java, C++, etc. , also includes conventional procedural programming languages, such as the "C" language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server to execute.

In addition, the embodiments of the present disclosure may also be a computer-readable storage medium on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the processor performs the data processing provided by the embodiments of the present disclosure. method steps.

The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof, for example. More specific examples (non-exhaustive list) of readable storage media include: electrical connection with one or more conductors, portable disk, hard disk, random access memory (RAM), read only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

It should be noted that the terms used in the present disclosure are only used to describe specific embodiments, but not to limit the scope of the present application. As indicated in the present disclosure and claims, the words "a", "an", "an" and/or "the" are not specific to the singular and may include the plural unless the context clearly suggests an exception. The term "and/or" includes any and all combinations of one or more of the associated listed items. The term "comprising", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method or apparatus comprising a set of elements includes not only those elements but also other elements not expressly listed, Alternatively, elements inherent in such a process, method, or apparatus are also included. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method or apparatus comprising said element.

The above descriptions are only specific implementation manners of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments described herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (13)

1. A data processing method, characterized in that, comprising: Receive the data acquisition request sent by the client; Based on the data acquisition request, determine the target data boundary identifier in the data set, and determine the target data based on each of the data in the data set that does not exceed the target data boundary identifier; wherein, the data boundary identifier is used to represent the corresponding data storage The storage sequence when reaching the data set; the target data demarcation identifier is a data demarcation identifier adapted to the current session connection, and the target data demarcation identifier remains unchanged in the current session connection; the data set does not The data beyond the boundary mark of the target data is stored data, and the data after the mark of the target data in the data set is newly added data; Get the data corresponding to the request; sending the target data to the client as a data acquisition response. 2. The method according to claim 1, wherein, based on the data acquisition request, determining the target data demarcation mark in the data set comprises: Judging whether the data acquisition request is the first request of the current session; Determine the target data boundary identifier in the data set based on the judgment result. 3. The method according to claim 2, wherein determining the target data demarcation mark in the data set based on the judgment result comprises: If the data acquisition request is the first request of the current session, it is determined that the data boundary identifier of the last data stored in the data set at the current moment is the target data boundary identifier. 4. The method according to claim 2, wherein determining the target data demarcation mark in the data set based on the judgment result comprises: If the data acquisition request is not the first request of the current session, the initial data boundary identifier carried in the data acquisition request is determined as the target data boundary identifier. 5. The method according to claim 2, wherein judging whether the data acquisition request is the first request of the current session comprises: If the value of the initial data demarcation identifier carried in the data acquisition request is outside the value range of the data demarcation identifier, then determine that the data acquisition request is the first request of the current session; If the value of the initial data boundary identifier is within the value range, it is determined that the data acquisition request is not the first request of the current session. 6. The method according to any one of claims 1-5, wherein sending the target data to the client as a data acquisition response comprises: Determining the target data and the target data boundary identifier as the data acquisition response, and sending the data acquisition response to the client. 7. The method according to claim 1, wherein, based on the data acquisition request, determining the target data demarcation mark in the data set comprises: determining a current session identifier based on the data acquisition request; The target data boundary identifier in the data set is determined based on the correspondence between the current session identifier, the session identifier, and the data boundary identifier. 8. The method according to claim 7, wherein, based on the correspondence between the current session identifier, the session identifier, and the data boundary identifier, determining the target data boundary identifier in the data set comprises: If the current session identifier and the corresponding relationship meet the set conditions, then determine the data boundary identifier of the last data stored in the data set at the current moment as the target data boundary identifier; Correspondingly storing the current session identifier and the target data boundary identifier in the corresponding relationship; Wherein, the setting condition is that the current session identifier does not exist in the corresponding relationship, there is no data boundary identifier corresponding to the current session identifier in the corresponding relationship, or the data boundary identifier corresponding to the current session identifier in the corresponding relationship The value of the data boundary identifier is outside the value range of the data boundary identifier. 9. The method according to claim 7, wherein, based on the correspondence between the current session identifier, the session identifier, and the data boundary identifier, determining the target data boundary identifier in the data set comprises: If the value of the data boundary identifier corresponding to the current session identifier in the correspondence relationship is within the value range of the data boundary identifier, then determine the data boundary identifier corresponding to the current session identifier as the target data Demarcation mark. 10. The method according to claim 1, wherein the data boundary identifier is a system time point or a storage sequence number when the corresponding data is stored in the data set. 11. A data processing device, characterized in that it comprises: The data acquisition request receiving module is used to receive the data acquisition request sent by the client; A target data determination module, configured to determine the target data boundary identifier in the data set based on the data acquisition request, and determine target data based on each of the data in the data set that does not exceed the target data boundary identifier; wherein, the data boundary The identifier is used to characterize the storage order when the corresponding data is stored in the data set; the target data demarcation identifier is a data demarcation identifier adapted to the current session connection, and the target data demarcation identifier remains unchanged in the current session connection Change; the data in the data set that does not exceed the target data boundary mark is stored data, and the data in the data set after the target data boundary mark is newly added data; the target data is the stored data in the data corresponding to the data acquisition request; A data acquisition response sending module, configured to send the target data to the client as a data acquisition response. 12. An electronic device, characterized in that the electronic device comprises: processor and memory; The processor is used to execute the steps of the method according to any one of claims 1 to 10 by invoking the programs or instructions stored in the memory. 13. A computer-readable storage medium, wherein the computer-readable storage medium stores a program or an instruction, and the program or instruction causes a computer to execute the steps of the method according to any one of claims 1 to 10.