CN117499396A - Data processing method and device based on cloud native platform system - Google Patents

Abstract

The invention discloses a data processing method and device based on a cloud native platform system, and relates to the technical field of computers. One embodiment of the method comprises the following steps: a container cluster and a distributed storage system disposed on the container cluster; the container cluster comprises a container master node and a container slave node; the distributed storage system comprises a storage main node, a metadata node and a data sub-node; the storage master node is deployed on the container master node; the metadata node and the data sub-node are deployed on the container slave node and serve as storage spaces of the container slave node to form a storage resource pool. According to the embodiment, the container cluster and the distributed storage system are mixed and deployed, so that the persistent storage of the data in the container cluster is realized, the multi-copy protection of the data is realized, the data reliability is improved, and the local hard disk storage resources of the container cluster are fully utilized.

Description

A data processing method and device based on a cloud native platform system

Technical field

The present invention relates to the field of computer technology, and in particular, to a data processing method and device based on a cloud native platform system.

Background technique

With the popularization of cloud-native and distributed technologies, containers have been widely used. However, because containers are computing resources with "quick startup, scaling, and quick destruction", containers are not suitable for persistent storage of data. Persistent volumes are used for containers. For persistent storage of data.

However, the underlying storage of the persistent volume used by the container is to use the local hard disk of the computing node where the container is located to provide storage space for the container on the computing node. However, the local hard disk does not have a copy protection mechanism, and data will be lost when the computing node is damaged; in addition, One is to use additional shared storage to provide storage space to the container through the NFS protocol. However, when the container accesses the shared storage across the network, it will lead to performance degradation and a waste of local hard disk resources.

Contents of the invention

In view of this, embodiments of the present invention provide a data processing method and device based on a cloud-native platform system. By hybrid deployment of a container cluster and a distributed storage system, persistent storage of data in the container cluster is achieved, and data storage is realized. Multi-copy protection improves data reliability and fully utilizes the local hard disk storage resources of the container cluster.

To achieve the above objectives, according to one aspect of an embodiment of the present invention, a cloud native platform system is provided, including:

Container clusters and distributed storage systems deployed on the container clusters;

The container cluster includes a container master node and a container slave node;

The distributed storage system includes a storage master node, a metadata node and a data sub-node; the storage master node is deployed on the container master node;

The metadata node and the data sub-node are deployed on the container slave node. The metadata node and the data sub-node serve as the storage space of the container slave node to form a storage resource pool.

Optionally, the data sub-node stores a data identifier and stored data corresponding to the data identifier, and the metadata node includes a corresponding relationship between the data identifier and the data sub-node.

Optionally, the distributed storage system also includes a storage service protocol, which is deployed on the container slave node and is used to carry out communication between the storage master node, the metadata node and the data sub-node. Conversion of storage protocols.

Optionally, the metadata node and the data sub-node are deployed separately on the container slave node, and the number of the metadata node and the data sub-node is determined according to the number of the container slave node.

According to another aspect of the embodiment of the present invention, a data processing method based on a cloud native platform system is provided, including:

Utilize the container master node of the cloud native platform system to receive a data storage request sent by the client, where the data storage request includes a data identifier and data to be stored corresponding to the data identifier;

Using the storage master node to determine multiple target data sub-nodes corresponding to the data to be stored according to the storage resource pool;

Using the storage resource pool to obtain multiple copies of the data to be stored;

The container slave node is used to store the data identifier and a copy of the data to be stored on the target data sub-node.

Optionally, use the container slave node to store the data identifier and a copy of the data to be stored on the target data sub-node:

The container slave node is used to store the corresponding relationship between the data identifier, the copy of the data to be stored, and the target data sub-node on the metadata node.

Optionally, the method also includes:

Utilize the container master node to receive a data query request sent by the client, where the data query request indicates a data identifier;

Using the storage master node to determine the target metadata node corresponding to the data query request;

Using the storage resource pool to determine multiple target data sub-nodes corresponding to the data identifier according to the target metadata node;

The container slave node is used to obtain query results corresponding to the data query request from multiple target data sub-nodes.

According to another aspect of the embodiment of the present invention, a data processing device based on a cloud native platform system is provided, including:

The receiving module uses the container master node of the cloud native platform system to receive the data storage request sent by the client, where the data storage request includes a data identifier and the data to be stored corresponding to the data identifier;

A determination module that uses the storage master node to determine multiple target data sub-nodes corresponding to the data to be stored according to the storage resource pool;

An acquisition module that uses the storage resource pool to acquire multiple copies of the data to be stored;

A storage module that uses the container slave node to store the data identifier and a copy of the data to be stored on the target data sub-node.

According to another aspect of the embodiment of the present invention, an electronic device is provided, including:

one or more processors;

a storage device for storing one or more programs,

When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the data processing method based on the cloud native platform system provided by the present invention.

According to yet another aspect of an embodiment of the present invention, a computer-readable medium is provided, on which a computer program is stored. When the program is executed by a processor, the data processing method based on the cloud native platform system provided by the present invention is implemented.

One embodiment of the above invention has the following advantages or beneficial effects: the cloud native platform system and the data processing method based on the cloud native platform system provided by the embodiment of the present invention, the cloud native platform system containerizes the components of the distributed storage system , hybrid deployment of container clusters and distributed storage systems, making full use of the storage capabilities of local hard disks in the container cluster, overcoming the problem of container data persistence relying on external storage, and realizing the separation of application data storage and computing, reducing storage costs Cost and operation and maintenance complexity; the storage resource pool of distributed storage can be used as shared storage for persistent storage of container clusters to form a converged cloud-native container platform; this data processing method can achieve multiple copies of data protection and improve data reliability, and can effectively avoid the overhead and delay caused by cross-network data access.

Further effects of the above-mentioned non-conventional optional methods will be described below in conjunction with specific implementations.

Description of drawings

The accompanying drawings are used to better understand the present invention and do not constitute an improper limitation of the present invention. in:

Figure 1 is a schematic diagram of the main flow of a data processing method based on a cloud native platform system according to an embodiment of the present invention;

Figure 2 is a schematic diagram of the main flow of another data processing method based on a cloud native platform system according to an embodiment of the present invention;

Figure 3 is a schematic architectural diagram of a cloud native platform system according to an embodiment of the present invention;

Figure 4 is a schematic diagram of the main modules of a data processing device based on a cloud native platform system according to an embodiment of the present invention;

Figure 5 is an exemplary system architecture diagram in which embodiments of the present invention can be applied;

FIG. 6 is a schematic structural diagram of a computer system suitable for implementing a terminal device or server according to an embodiment of the present invention.

Detailed ways

Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding and should be considered to be exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted from the following description for clarity and conciseness.

According to one aspect of an embodiment of the present invention, a cloud native platform system is provided, including: a container cluster and a distributed storage system deployed on the container cluster; the container cluster includes a container master node and a container slave node; the distributed storage system includes Storage master node, metadata node and data sub-node; storage master node is deployed on the container master node; metadata node and data sub-node are deployed on the container slave node, and the metadata node and data sub-node serve as the storage space of the container slave node , forming a storage resource pool.

In this embodiment of the present invention, the cloud native platform system is implemented through integrated deployment of containers and distributed storage. The cloud native platform system includes a container cluster and a distributed storage system deployed on the container cluster. The container cluster includes a container master node and a container slave node. The container cluster is a k8s (Kubernetes, an open source container orchestration platform) cluster. , the container master node is the master node of the k8s cluster, which is used for the scheduling, management and operation and maintenance of the container cluster, and the container slave node is the worker node of the k8s cluster. The distributed storage system, that is, the distributed storage cluster, includes storage master nodes, metadata nodes and data sub-nodes. The storage master node, which is the resource management node, is used to schedule and manage storage nodes, that is, metadata nodes and data sub-nodes. The storage master node can Deployed on any container master node in the k8s cluster, that is, the k8s master node and the storage master node of the distributed storage system are mixed and deployed. The storage master node of the distributed storage system is deployed on the container master node as a container service.

In this embodiment of the present invention, metadata nodes and data subnodes are deployed on container slave nodes, metadata nodes are deployed on one or more container slave nodes, and data subnodes are deployed on each container slave node. Each server node includes a system disk, cache disk and data disk. Metadata nodes and data sub-nodes are scattered on the container slave node of the container cluster, that is, the worker node. Metadata nodes and data sub-nodes are deployed separately. Metadata nodes and data sub-nodes are deployed separately. The node serves as the storage space of the container slave node. The storage space includes cache disk and data disk. That is, the metadata node and data sub-node take over the cache disk and data disk of the container slave node, so that the metadata node and data sub-node form a cross-node network. The distributed storage resource pool exposes two interfaces, POSIX and Object API, for calls by the k8s cluster. By deploying the components of the distributed storage system in the k8s cluster, intercepting access to the local Data hard disk through device plugin (a grpc service), a distributed storage resource pool in the cluster is formed, and the storage resource pool is mounted to The k8s cluster solves the original problem of local hard disk data reliability and can also make full use of the local hard disk space of each computing node.

In the embodiment of the present invention, the data sub-node stores the data identifier and the stored data corresponding to the data identifier, and the metadata node includes the corresponding relationship between the data identifier and the data sub-node. Through the metadata node, the data sub-node corresponding to the data identifier can be obtained, and then the stored data corresponding to the data identifier can be obtained.

In the embodiment of the present invention, the distributed storage system also includes a storage service protocol (storage service). The storage service protocol is deployed on the container slave node and is used to convert the storage protocol between the storage master node and the metadata node and data sub-node. . This storage protocol is used for storage protocol conversion, obtaining storage volume information from the storage master node, and communicating directly with metadata nodes and data subnodes. Good compatibility with container clusters is achieved through the storage service protocol.

In this embodiment of the present invention, metadata nodes and data sub-nodes are separately deployed on container slave nodes, and the number of metadata nodes and data sub-nodes is determined based on the number of container slave nodes. The storage service protocol, metadata nodes and data sub-nodes all have high scalability. Metadata nodes and data sub-nodes are deployed separately. According to the increase in the number of container slave nodes, storage capacity and access volume in the container cluster, the metadata nodes and data sub-nodes are expanded respectively. The number of data nodes, data sub-nodes, and data storage service protocols is horizontally expanded on multiple computing nodes, that is, server nodes, thereby dispersing application data access requests on different metadata nodes, avoiding data access hotspots, and ensuring Read and write performance to avoid performance bottlenecks.

Figure 1 is a schematic diagram of the main flow of a data processing method based on a cloud native platform system according to an embodiment of the present invention. As shown in Figure 1, the data processing method based on a cloud native platform system includes the following steps:

Step S101: Use the container master node of the cloud native platform system to receive the data storage request sent by the client. The data storage request includes a data identifier and the data to be stored corresponding to the data identifier;

Step S102: Use the storage master node to determine multiple target data sub-nodes corresponding to the data to be stored according to the storage resource pool;

Step S103: Use the storage resource pool to obtain multiple copies of the data to be stored;

Step S104: Use the container slave node to store the data identifier and a copy of the data to be stored on the target data child node.

In this embodiment of the present invention, the data processing method is implemented based on a cloud native platform system. The container master node receives the data storage request sent by the client. The client can be the storage client of the application. The container master node sends the data storage request to the container slave node through the storage service protocol. The data storage request includes the data identifier and the corresponding For the data to be stored, the data identifier can be an application identifier. Use the storage master node to determine multiple target data sub-nodes corresponding to the data to be stored based on the storage resource pool, and then obtain multiple copies of the data to be stored through the storage resource pool, thereby using the container slave node to store copies of the data to be stored in the target On the data sub-nodes, the storage resource pool implements a copy protection mechanism for the data to be stored, which can effectively avoid the loss of the data to be stored.

In the embodiment of the present invention, after using the container slave node to store the data identifier and the copy of the data to be stored on the target data sub-node, it also includes: using the container slave node to store the data identifier, the copy of the data to be stored and the target data sub-node. The corresponding relationship is stored on the metadata node. That is, the corresponding target data sub-node can be determined through the data identification, and then the data to be stored can be obtained from the target data sub-node.

In the embodiment of the present invention, as shown in Figure 2, the data processing method further includes:

Step S201: Use the container master node to receive the data query request sent by the client, where the data query request indicates the data identifier;

Step S202: Use the storage master node to determine the target metadata node corresponding to the data query request;

Step S203: Use the storage resource pool to determine multiple target data sub-nodes corresponding to the data identifier according to the target metadata node;

Step S204: Use the container slave node to obtain query results corresponding to the data query request from multiple target data sub-nodes.

In the embodiment of the present invention, when the cloud native platform system performs data query, the container master node is used to receive the data query request sent by the client, and then the container master node sends the data query request to the container slave node, so as to send the data query request to the container slave node. The metadata node sends a data query request, which includes a data identifier. The storage master node is used to determine the target metadata node. According to the data identifier and the target metadata node, each target data corresponding to the data identifier in the storage resource pool can be determined. Sub-nodes, each target data sub-node stores a data copy corresponding to the data identifier. The query results can be obtained from the corresponding target data sub-nodes through the corresponding container slave nodes, and the query results are returned to the container master node to Causes the container master node to return query results to the client.

The cloud native platform system and the data processing method based on the cloud native platform system provided by the embodiments of the present invention. The cloud native platform system containerizes the components of the distributed storage system and hybridly deploys the container cluster and the distributed storage system to make full use of The storage capacity of the local hard disk in the container cluster overcomes the problem of container data persistence relying on external storage, and realizes the separation of application data storage and computing, reducing storage costs and operation and maintenance complexity; distributed storage storage resource pool It can be used as shared storage for persistent storage of container clusters to form a converged cloud-native container platform; this data processing method can achieve multi-copy protection of data, improve data reliability, and can effectively avoid the overhead caused by cross-network data access. and delay.

According to another aspect of the embodiment of the present invention, as shown in Figure 4, a data processing device 400 based on a cloud native platform system is provided, including:

The receiving module 401 uses the container master node of the cloud native platform system to receive the data storage request sent by the client. The data storage request includes a data identifier and the data to be stored corresponding to the data identifier;

The determination module 402 uses the storage master node to determine multiple target data sub-nodes corresponding to the data to be stored according to the storage resource pool;

The acquisition module 403 uses the storage resource pool to acquire multiple copies of the data to be stored;

The storage module 404 uses the container slave node to store the data identifier and a copy of the data to be stored on the target data sub-node.

In the embodiment of the present invention, the storage module 404 is also used to: after using the container slave node to store the data identifier and the copy of the data to be stored on the target data sub-node, use the container slave node to store the data identifier and the copy of the data to be stored. The corresponding relationship with the target data sub-node is stored on the metadata node.

In the embodiment of the present invention, the device also includes a query module, which is used to: use the container master node to receive the data query request sent by the client, where the data query request indicates the data identifier; use the storage master node to determine the target corresponding to the data query request Metadata node; use the storage resource pool to determine multiple target data sub-nodes corresponding to the data identifier according to the target metadata node; use the container slave node to obtain query results corresponding to the data query request from multiple target data sub-nodes.

According to another aspect of an embodiment of the present invention, an electronic device is provided, including: one or more processors; a storage device for storing one or more programs. When the one or more programs are processed by one or more The processor executes, causing one or more processors to implement the data processing method based on the cloud native platform system provided by the present invention.

According to another aspect of the embodiments of the present invention, a computer-readable medium is provided, on which a computer program is stored. When the program is executed by a processor, the data processing method based on the cloud native platform system provided by the present invention is implemented.

FIG. 5 shows an exemplary system architecture 500 in which the data processing method based on the cloud native platform system or the data processing device based on the cloud native platform system according to the embodiment of the present invention can be applied.

As shown in Figure 5, the system architecture 500 may include terminal devices 501, 502, 503, a network 504 and a server 505. Network 504 is used to provide a medium for communication links between terminal devices 501, 502, 503 and server 505. Network 504 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

Users can use terminal devices 501, 502, 503 to interact with the server 505 through the network 504 to receive or send messages, etc. Various communication client applications can be installed on the terminal devices 501, 502, and 503, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (only examples).

The terminal devices 501, 502, and 503 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and so on.

The server 505 may be a server that provides various services, such as a backend management server that provides support for shopping websites browsed by users using the terminal devices 501, 502, and 503 (example only). The background management server can analyze and process the received product information query request and other data, and feed back the processing results (such as target push information, product information - only examples) to the terminal device.

It should be noted that the data processing method based on the cloud native platform system provided by the embodiment of the present invention is generally executed by the server 505. Correspondingly, the data processing device based on the cloud native platform system is generally provided in the server 505.

It should be understood that the number of terminal devices, networks and servers in Figure 5 is only illustrative. Depending on implementation needs, there can be any number of end devices, networks, and servers.

Referring now to FIG. 6 , which shows a schematic structural diagram of a computer system 600 suitable for implementing a terminal device according to an embodiment of the present invention. The terminal device shown in FIG. 6 is only an example and should not impose any restrictions on the functions and scope of use of the embodiments of the present invention.

As shown in FIG. 6 , computer system 600 includes a central processing unit (CPU) 601 that can operate according to a program stored in a read-only memory (ROM) 602 or loaded from a storage portion 608 into a random access memory (RAM) 603 And perform various appropriate actions and processing. In the RAM 603, various programs and data required for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other through a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

The following components are connected to the I/O interface 605: an input section 606 including a keyboard, a mouse, etc.; an output section 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., speakers, etc.; and a storage section 608 including a hard disk, etc. ; and a communication section 609 including a network interface card such as a LAN card, a modem, etc. The communication section 609 performs communication processing via a network such as the Internet. Driver 610 is also connected to I/O interface 605 as needed. Removable media 611, such as magnetic disks, optical disks, magneto-optical disks, semiconductor memories, etc., are installed on the drive 610 as needed, so that a computer program read therefrom is installed into the storage portion 608 as needed.

In particular, according to embodiments disclosed in the present invention, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, the disclosed embodiments of the present invention include a computer program product including a computer program carried on a computer-readable medium, the computer program including program code for executing the method shown in the flowchart. In such embodiments, the computer program may be downloaded and installed from the network via communication portion 609, and/or installed from removable media 611. When the computer program is executed by the central processing unit (CPU) 601, the above-mentioned functions defined in the system of the present invention are performed.

It should be noted that the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the above two. The computer-readable storage medium may be, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or any combination thereof. More specific examples of computer readable storage media may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard drive, random access memory (RAM), read only memory (ROM), removable Programmed read-only memory (EPROM or flash memory), fiber optics, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium that contains or stores a program for use by or in conjunction with an instruction execution system, apparatus, or device. In the present invention, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, in which computer-readable program code is carried. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device . Program code embodied on a computer-readable medium may be transmitted using any suitable medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the foregoing.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more logic functions that implement the specified executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown one after another may actually execute substantially in parallel, or they may sometimes execute in the reverse order, depending on the functionality involved. It will also be noted that each block in the block diagram or flowchart illustration, and combinations of blocks in the block diagram or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or operations, or may be implemented by special purpose hardware-based systems that perform the specified functions or operations. Achieved by a combination of specialized hardware and computer instructions.

The modules involved in the embodiments of the present invention can be implemented in software or hardware. The described module can also be provided in a processor. For example, it can be described as: a processor includes a receiving module, a determining module, an obtaining module and a storage module. Among them, the names of these modules do not constitute a limitation on the module itself under certain circumstances. For example, the receiving module can also be described as "a module that uses the container master node of the cloud native platform system to receive data storage requests sent by the client. ".

As another aspect, the present invention also provides a computer-readable medium. The computer-readable medium may be included in the device described in the above embodiments; it may also exist separately without being assembled into the device. The above computer-readable medium carries one or more programs. When the above one or more programs are executed by a device, the device includes: using the container master node of the cloud native platform system to receive the data storage request sent by the client, The data storage request includes a data identifier and the data to be stored corresponding to the data identifier; the storage master node is used to determine multiple target data sub-nodes corresponding to the data to be stored according to the storage resource pool; the storage resource pool is used to obtain multiple copies of the data to be stored ;Use the container slave node to store the data identification and a copy of the data to be stored on the target data child node.

According to the technical solution of the embodiment of the present invention, the cloud native platform system and the data processing method based on the cloud native platform system are provided by the embodiment of the present invention. The cloud native platform system combines the container cluster and the data processing method by containerizing the components of the distributed storage system. The hybrid deployment of distributed storage systems makes full use of the storage capabilities of local hard disks in container clusters, overcomes the problem of container data persistence relying on external storage, and realizes the separation of application data storage and computing, reducing storage costs and operation and maintenance complexity. degree; the storage resource pool of distributed storage can be used as shared storage for persistent storage of container clusters, forming a converged cloud-native container platform; this data processing method can achieve multiple copies of data protection, improve data reliability, and can Effectively avoid overhead and delays caused by cross-network data access.

The above-mentioned specific embodiments do not constitute a limitation on the scope of the present invention. It will be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims (10)

1. A cloud native platform system, characterized by comprising: a container cluster and a distributed storage system deployed on the container cluster; The container cluster includes a container master node and a container slave node; The distributed storage system includes a storage master node, a metadata node and a data sub-node; the storage master node is deployed on the container master node; The metadata node and the data sub-node are deployed on the container slave node. The metadata node and the data sub-node serve as the storage space of the container slave node to form a storage resource pool. 2. The system according to claim 1, wherein the data sub-node stores a data identifier and stored data corresponding to the data identifier, and the metadata node includes a corresponding relationship between the data identifier and the data sub-node. . 3. The system according to claim 1, characterized in that the distributed storage system further includes a storage service protocol, the storage service protocol is deployed on the container slave node and is used to communicate with the storage master node. Conversion of the storage protocols of the metadata node and the data subnode. 4. The system according to claim 1, characterized in that the metadata node and the data sub-node are deployed separately on the container slave node, and the number of the metadata node and the number of the data sub-node are The number is determined based on the number of slave nodes of the container. 5. A data processing method based on a cloud native platform system, characterized by including: Utilizing the container master node of the cloud native platform system to receive a data storage request sent by the client, the data storage request includes a data identifier and the data to be stored corresponding to the data identifier; the cloud native platform system is claimed in claims 1-4 The system described in any of the items; Using the storage master node to determine multiple target data sub-nodes corresponding to the data to be stored according to the storage resource pool; Using the storage resource pool to obtain multiple copies of the data to be stored; The container slave node is used to store the data identifier and a copy of the data to be stored on the target data sub-node. 6. The method according to claim 5, characterized in that after using the container slave node to store the data identifier and the copy of the data to be stored on the target data sub-node, it further includes: The container slave node is used to store the corresponding relationship between the data identifier, the copy of the data to be stored, and the target data sub-node on the metadata node. 7. The method according to claim 6, characterized in that the method further comprises: Utilize the container master node to receive a data query request sent by the client, where the data query request indicates a data identifier; Using the storage master node to determine the target metadata node corresponding to the data query request; Using the storage resource pool to determine multiple target data sub-nodes corresponding to the data identifier according to the target metadata node; The container slave node is used to obtain query results corresponding to the data query request from multiple target data sub-nodes. 8. A data processing device based on a cloud native platform system, characterized by including: The receiving module uses the container master node of the cloud native platform system to receive the data storage request sent by the client. The data storage request includes a data identifier and the data to be stored corresponding to the data identifier; the cloud native platform system is a claim The system described in any one of 1-4; A determination module that uses the storage master node to determine multiple target data sub-nodes corresponding to the data to be stored according to the storage resource pool; An acquisition module that uses the storage resource pool to acquire multiple copies of the data to be stored; A storage module that uses the container slave node to store the data identifier and a copy of the data to be stored on the target data sub-node. 9. An electronic device, characterized in that it includes: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method as described in any one of claims 5-7. 10. A computer-readable medium with a computer program stored thereon, characterized in that when the program is executed by a processor, the method according to any one of claims 5-7 is implemented.