Method and system for realizing HDFS (Hadoop Distributed File System) metadata backup and recovery in Kerberos environment

Abstract

The invention discloses a method and a system for realizing HDFS (Hadoop Distributed File System) metadata backup and recovery in a Kerberos environment, belongs to the technical field of HDFS metadata backup and recovery, and realizes HDFS metadata backup and recovery in the Kerberos environment based on a Tomcat application and an HDFS Client. The front end of the Tomcat application sends a metadata backup or recovery request to the rear end of the Tomcat application; the back end of the Tomcat application analyzes related request parameters according to the received different requests; a Kerberos bill of the HDFS administrator user is cached; and acquiring a NameNode main node of the HDFS, breaking through a server where the Tomcat is located and the NameNode main node, and backing up and recovering network connection of related nodes. By means of the method, HDFS metadata backup recovery in the Kerberos environment can be achieved, and the stability and reliability of a big data system are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of HDFS metadata backup and recovery, and in particular to a method and system for realizing HDFS metadata backup and recovery in a Kerberos environment. Background Art

[0002] HDFS (Hadoop Distributed File System) is one of the core components of the Apache Hadoop ecosystem, used to store and process large-scale data sets. It is designed to run on cheap hardware and provide high fault tolerance. The working principle of HDFS is to split large files into small blocks and store these blocks on multiple nodes in the cluster to achieve distributed storage and processing of data.

[0003] HDFS metadata includes file system namespace and block location information. These metadata are crucial for locating, reading, and writing files. Since HDFS stores a large amount of data, metadata management becomes particularly important. Once the metadata is lost or damaged, the file system will be unavailable, which will affect the entire data processing and analysis process.

[0004] In order to deal with the situation of metadata loss or damage, metadata backup and recovery strategies are usually implemented. Common strategies include regularly backing up the NameNode metadata or using Secondary NameNode to assist in backup. In addition, some third-party tools or services also provide special metadata backup solutions to enhance the efficiency and reliability of backup and recovery. In general, HDFS metadata backup and recovery is an important measure to ensure the stability and reliability of big data systems, which can help administrators respond to possible failures in a timely manner and minimize data loss and system downtime.

[0005] Kerberos is a network authentication protocol designed to provide secure authentication services and protect the security of communications in computer networks. It was originally developed by the Massachusetts Institute of Technology (MIT) and has become one of the important standards in the field of network security. The working principle of Kerberos is based on the concept of tickets and keys. In a Kerberos environment, there is a central server called the Kerberos authentication server (Key Distribution Center, KDC for short). KDC is responsible for issuing tickets and managing authentication information for users and services. Kerberos uses tickets and keys to implement authentication, effectively preventing network attacks such as eavesdropping, forgery, and replay. It provides strong security and can be used to protect various network applications, including email, file sharing, Web services, etc.

[0006] Kerberos is widely used in enterprise-level networks, especially in large organizations and institutions. It provides a reliable solution for network security, helping organizations protect sensitive data, ensure the legitimacy of user identities, and provide a secure network communication environment. As an efficient authentication protocol, Kerberos is essential for building a secure and reliable network infrastructure.

[0007] However, there is currently no good solution to achieve HDFS metadata backup and recovery in a Kerberos environment. How to achieve HDFS metadata backup and recovery in a Kerberos environment is a problem that needs to be solved urgently. Summary of the invention

[0008] The technical task of the present invention is to address the above shortcomings and provide a method and system for realizing HDFS metadata backup and recovery in a Kerberos environment, which can realize HDFS metadata backup and recovery in a Kerberos environment and ensure the stability and reliability of the big data system.

[0009] The technical solution adopted by the present invention to solve its technical problem is:

[0010] A method for implementing HDFS metadata backup and recovery in a Kerberos environment is provided. The method implements HDFS metadata backup and recovery in a Kerberos environment based on Tomcat application and HDFSClient. The implementation of the method specifically includes:

[0011] 1) The Tomcat application front end sends a metadata backup or restore request to the Tomcat application back end;

[0012] 2) The Tomcat application backend parses the relevant request parameters based on the different requests received;

[0013] 3) Connect to the server where the Tomcat application is located and cache the Kerberos ticket of the HDFS administrator user;

[0014] 4) Get the HDFS NameNode master node, and open up the network connection between the Tomcat server and the NameNode master node and the backup and recovery related nodes;

[0015] 5) If it is HDFS metadata backup, connect to the NameNode master node, package and back up the NameNode metadata directory to the current user folder, then connect to the backup-related node specified by the user, and download the metadata backup recovery file from the NameNode master node user directory;

[0016] 6) If it is HDFS metadata recovery, query the backup related information in the backend data backup table, connect to the node where the backup data is located, stop all NameNode nodes, back up the existing metadata directories on all NameNode nodes, and restore the backed up HDFS metadata files to the metadata directories of all NameNode nodes;

[0017] 7) Update the relevant backup and recovery data information in the Tomcat application backend data table. The Tomcat application front end determines whether the task is successfully executed by querying the backend database table.

[0018] Tomcat is an open source, lightweight Java Servlet container developed and maintained by the Apache Software Foundation. As a Java application server, Tomcat's main function is to run Java Servlet, JavaServer Pages (JSP), and other Java-based web applications. It provides a container environment that allows developers to easily develop, deploy, and manage Java Web applications. Tomcat applications refer to Java Web applications deployed on Tomcat servers, usually in the form of WAR (Web Application Archive) files. Tomcat applications can be various types of Java Web applications, including enterprise applications, e-commerce websites, blog systems, forum platforms, etc. Developers can use technologies such as Java Servlet, JSP, JavaServer Faces (JSF) to develop Tomcat applications, and can also use various frameworks and tools to improve development efficiency and application performance.

[0019] The architecture of HDFS consists of two main components: NameNode and DataNode. NameNode is responsible for managing the namespace and metadata of the file system. It records the hierarchical structure of files and directories and the location information of file blocks. DataNode is responsible for actually storing data blocks and performing read, write and copy operations of data blocks under the guidance of NameNode.

[0020] This method can effectively implement HDFS metadata backup and recovery in a Kerberos environment based on Tomcat application and HDFS Client, providing a safe and reliable solution for data management in a big data environment.

[0021] Furthermore, the backup or restore request sent by the Tomcat application front end contains relevant parameters, including the backup directory, the restore file path, the user-specified server IP, the server login method, etc.

[0022] Furthermore, the user inputs relevant operation requests through the front-end page, including selecting the HDFS metadata directory to be backed up or specifying the backup file path to be restored. The request parameters will be sent to the Tomcat application backend for processing, thereby triggering the corresponding backup or restore operation;

[0023] The backend of the Tomcat application is responsible for receiving, processing, and responding to user requests. When receiving a backup or restore request from a user, the backend will parse the request parameters and extract key information including the backup directory and restore file path for subsequent operations.

[0024] Furthermore, in a Kerberos environment, to access the HDFS cluster, you first need to authenticate yourself; the Tomcat application backend obtains the Kerberos ticket of the HDFS administrator user by executing the Kerberos command in the SSH connection, and caches it so that you can authenticate yourself when subsequent operations require it. Obtaining and caching Kerberos tickets is one of the key steps to ensure the safe and reliable operation of the program. It can effectively prevent unauthorized access and ensure the security of the system.

[0025] Furthermore, use the HDFS Client to determine the NameNode master node in the HDFS cluster, and use the command line to ensure that the network connection of the backup and recovery related nodes is unobstructed before data backup and recovery operations can be performed;

[0026] HDFS Client is an important tool for connecting to the HDFS cluster. It provides a rich set of APIs and functions, and can easily interact with HDFS. The Tomcat application backend uses HDFS Client to establish a network connection with the HDFS cluster, including connecting to the NameNode master node to obtain metadata information, and connecting to backup and recovery related nodes to perform data backup and recovery operations. By establishing a network connection with other nodes, subsequent operations can be ensured to proceed smoothly and data transmission can be guaranteed to be secure.

[0027] Furthermore, for HDFS metadata backup requests, the Tomcat application backend connects to the NameNode master node in the HDFS cluster, obtains the NameNode metadata directory, and packages and backs it up to the current user folder; then, according to the backup-related node information specified by the user, it connects to the corresponding node and downloads the metadata backup recovery file from the NameNode master node user directory; this operation completes the backup of HDFS metadata and ensures the safe storage and transmission of the backup files;

[0028] For HDFS metadata recovery requests, after receiving the HDFS metadata recovery request, the Tomcat application backend first queries the backup-related information in the backend database table, obtains the path and node information of the backup file, and verifies whether the user-specified backup is available; then connects to the node where the backup metadata file is located, stops all NameNode nodes to ensure data consistency; then backs up the existing metadata directories on all NameNode nodes, and restores the user-specified HDFS metadata backup file to the metadata directory of all NameNode nodes; through this operation, the HDFS metadata is restored, and the restored data is ensured to be consistent with the backup file, thereby ensuring the integrity and reliability of the HDFS metadata.

[0029] Furthermore, after the backup and restore operations are completed, the Tomcat application backend writes relevant backup and restore data information to the backend database table, including the operation type, execution result, operation time, etc.; this information can be used for subsequent query and monitoring, helping administrators understand the operation of the system and promptly discover and solve possible problems;

[0030] The Tomcat application front end obtains the execution results of the backup and recovery operations by querying the backend database table to determine whether the task is executed successfully; if the operation is successful, the front end will display the corresponding prompt information to the user; if the operation fails, the front end will remind the user of the operation failure and the reason for the failure.

[0031] The present invention also claims a system for realizing HDFS metadata backup and recovery under Kerberos environment. The system realizes HDFS metadata backup and recovery under Kerberos environment according to the above method. The system includes a Tomcat application front-end device and a Tomcat application back-end server.

[0032] Tomcat application front-end device improves the interface for users to interact with the system;

[0033] The Tomcat application backend server receives, processes, and responds to user requests, and implements HDFS metadata backup and recovery in a Kerberos environment based on the Tomcat application and the HDFS Client.

[0034] The present invention also claims a device for implementing HDFS metadata backup and recovery in a Kerberos environment, comprising: at least one memory and at least one processor;

[0035] The at least one memory is used to store a machine-readable program;

[0036] The at least one processor is used to call the machine-readable program to implement the above method.

[0037] The present invention also claims protection for a computer-readable medium having computer instructions stored thereon, which, when executed by a processor, causes the processor to perform the above method.

[0038] Compared with the prior art, the method and system for realizing HDFS metadata backup and recovery under Kerberos environment of the present invention have the following beneficial effects:

[0039] The present invention provides an innovative solution for HDFS metadata backup and recovery in a Kerberos environment based on Tomcat application and HDFS Client. Compared with the commonly used backup and recovery methods, this solution has the following innovative features:

[0040] First, by using Tomcat application as the front end to receive user requests, backup and recovery operations are incorporated into a unified management framework, improving the controllability and ease of use of operations. Traditionally, backup and recovery operations often require command lines or special management tools to operate, but this solution uses the Tomcat application front end to allow users to complete operation requests through a simple interface, lowering the operation threshold and improving user experience.

[0041] Secondly, by using Tomcat application backend to parse parameters, cache Kerberos tickets, connect to HDFS clusters, etc., the automated management of HDFS metadata backup and recovery operations is achieved, reducing the possibility of manual intervention and operational errors. Compared with traditional manual operation methods, this solution greatly improves the efficiency and accuracy of operations, reduces operational risks, and improves the stability and reliability of the system.

[0042] In addition, by optimizing network connections, resource management, cache mechanisms, and data transmission, the solution achieves fast and efficient backup and recovery operations. By rationally utilizing system resources and optimizing data transmission methods, the execution speed of operations and data transmission efficiency are improved, thereby reducing the execution time of operations and improving the overall performance of the system.

[0043] In summary, this technical solution is significantly innovative in HDFS metadata backup and recovery in a Kerberos environment based on Tomcat applications and HDFS Client. By integrating multiple technical means such as front-end interface, automated management, and optimized execution, it achieves efficient, secure, and reliable management of backup and recovery operations, providing a new solution for data management in a big data environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1It is a flowchart of a method for implementing HDFS metadata backup and recovery in a Kerberos environment provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0046] The embodiment of the present invention provides a method for implementing HDFS metadata backup and recovery under Kerberos environment, and implements HDFS metadata backup and recovery under Kerberos environment based on Tomcat application and HDFS Client. Figure 1 As shown, the implementation of this method includes the following steps:

[0047] 1. The Tomcat application front end sends a metadata backup or restore request to the Tomcat application back end;

[0048] 2. The Tomcat application backend parses the relevant request parameters according to the different requests received;

[0049] 3. Connect to the server where the Tomcat application is located and cache the Kerberos ticket of the HDFS administrator user;

[0050] 4. Get the HDFS NameNode master node, and open up the network connection between the server where Tomcat is located and the NameNode master node and the backup and recovery related nodes;

[0051] 5. If it is HDFS metadata backup, connect to the NameNode master node, package and back up the NameNode metadata directory to the current user folder, then connect to the backup-related node specified by the user, and download the metadata backup recovery file from the NameNode master node user directory;

[0052] 6. If it is HDFS metadata recovery, query the backup-related information in the backend data backup table, connect to the node where the backup data is located, stop all NameNode nodes, back up the existing metadata directories on all NameNode nodes, and restore the backed-up HDFS metadata files to the metadata directories of all NameNode nodes;

[0053] 7. Update the relevant backup and recovery data information in the Tomcat application backend data table. The Tomcat application front end determines whether the task is successfully executed by querying the backend database table.

[0054] This method implements the backup and recovery of HDFS metadata by integrating Tomcat application and HDFSClient. Users can send HDFS metadata backup or recovery requests with one click through the front-end page. The background data table is used to record the success or failure of each operation and provide user-friendly prompts. The security of HDFS metadata backup and recovery operations is protected based on Kerberos, and users are unaware of the authentication process.

[0055] This method receives user requests through the Tomcat application front end, including backup requests and restore requests. The request contains relevant parameters, such as backup directory, restore file path, user-specified server IP, server login method, etc.

[0056] In actual applications, the Tomcat application front end is the interface for users to interact with the system. Users enter relevant operation requests through the front end page, select the HDFS metadata directory to be backed up, or specify the backup file path to be restored. These request parameters will be sent to the Tomcat application back end for processing, thereby triggering the corresponding backup or restore operation. Receiving user requests through the front end can facilitate user operations and provide a friendly interactive interface, improving the system's ease of use and user experience.

[0057] The backend of the Tomcat application is the core of the entire system, responsible for receiving, processing and responding to user requests. When receiving a backup or restore request from a user, the backend will parse the request parameters and extract key information such as the backup directory and restore file path for subsequent operations. Correct parsing and extraction of parameters is a key step to ensure smooth operation, which directly affects the accuracy and effectiveness of subsequent operations.

[0058] In a Kerberos environment, to access the HDFS cluster, you first need to authenticate your identity. The Tomcat application backend obtains the Kerberos ticket of the HDFS administrator user by executing the Kerberos command in the SSH connection and caches it so that you can authenticate your identity when subsequent operations require it. Obtaining and caching Kerberos tickets is one of the key steps to ensure the safe and reliable operation of the program. It can effectively prevent unauthorized access and ensure the security of the system.

[0059] Use HDFS Client to determine the NameNode master node in the HDFS cluster, and use the command line to ensure that the network connection of the backup and recovery related nodes is smooth before data backup and recovery operations can be performed. HDFS Client is an important tool for connecting to the HDFS cluster. It provides a rich API and functions that can easily interact with HDFS. The Tomcat application backend will use HDFS Client to establish a network connection with the HDFS cluster, including connecting to the NameNode master node to obtain metadata information, and connecting to the backup and recovery related nodes to perform data backup and recovery operations. By establishing a network connection with other nodes, it can ensure that subsequent operations can proceed smoothly and ensure the secure transmission of data.

[0060] The Tomcat application backend will then connect to the NameNode master node in the HDFS cluster, obtain the NameNode metadata directory, and package it for backup in the current user folder. Then, according to the backup-related node information specified by the user, it will connect to the corresponding node and download the metadata backup recovery file from the NameNode master node user directory. The above operations complete the backup of HDFS metadata and ensure the safe storage and transmission of backup files.

[0061] If it is an HDFS metadata recovery request, after receiving the HDFS metadata recovery request, the Tomcat application backend will first query the backup-related information in the backend database table, obtain the path and node information of the backup file, and verify whether the user-specified backup is available. Then connect to the node where the backup metadata file is located and stop all NameNode nodes to ensure data consistency. Then back up the existing metadata directories on all NameNode nodes and restore the user-specified HDFS metadata backup files to the metadata directories of all NameNode nodes. The above operations are used to restore the HDFS metadata and ensure that the restored data is consistent with the backup file, thereby ensuring the integrity and reliability of the HDFS metadata.

[0062] After the backup and restore operation is completed, the Tomcat application backend will write relevant backup and restore data information to the backend database table, including operation type, execution result, operation time, etc. This information can be used for subsequent query and monitoring to help administrators understand the operation of the system and promptly discover and solve possible problems.

[0063] Finally, the Tomcat application front end will query the backend database table to obtain the execution results of the backup and recovery operation to determine whether the task is successfully executed. If the operation is successful, the front end will display the corresponding prompt information to the user; if the operation fails, the front end will remind the user of the failure and the reason for the failure.

[0064] When implementing this method, some additional technical details need to be considered. For example, when connecting to the HDFS cluster, you need to ensure that the network connection between the Tomcat application server and the HDFS cluster nodes is stable and has sufficient permissions to perform backup and recovery operations. In addition, when performing recovery operations, you need to be careful to back up the existing HDFS metadata directory to prevent data loss or corruption. In addition, to ensure the security and reliability of operations, it is recommended to regularly update and manage Kerberos tickets and clear the cache in time after the operation is completed to prevent security vulnerabilities. Finally, in order to improve the maintainability of the system, you can consider implementing logging and exception handling mechanisms to promptly detect and resolve possible problems.

[0065] In order to measure the advantages and disadvantages of this solution and other HDFS metadata backup and recovery solutions, the following common indicators are used for comparison. The specific instructions are as follows:

[0066] Operation time comparison: Compare the execution time of backup and recovery operations before and after using the method. For example, the time required to back up HDFS metadata is compared before and after using the solution to compare the differences in operation efficiency between different solutions.

[0067] User operation ease: Collect data through user surveys or questionnaires to evaluate the user's operation experience before and after using the solution. Compare the user satisfaction and ease of operation before and after using the solution to compare the performance of different solutions in terms of user experience.

[0068] System resource utilization: Monitor the utilization of system resources when using the solution to perform backup and recovery operations, including CPU utilization, memory usage, etc. Compare the utilization of system resources before and after using the solution to compare the usage of system resources by different solutions.

[0069] Operation success rate: Statistics on the success rate of backup and recovery operations using the solution, that is, the ratio of the number of successful operations to the total number of operations. By comparing the operation success rates, we can compare the operational reliability and stability of different solutions.

[0070] Network connection speed: Record the network connection speed between the server where the Tomcat application is located and the HDFS cluster node, including the time to establish the connection and the data transmission rate. Compare the network connection speed before and after using different solutions to compare the impact of different solutions on network communication performance.

[0071] Data transmission efficiency: Monitor the efficiency of data transmission using the solution, including data transmission rate and bandwidth usage. Compare the data transmission efficiency before and after using the solution to demonstrate the solution’s innovation in data transmission optimization.

[0072] By collecting and analyzing the above data from different aspects, we can comprehensively evaluate the effectiveness and innovation of this method. These data reflect the innovation of this method in improving operational efficiency, simplifying user operations, optimizing system resource utilization, increasing operation success rate, improving network connection speed and optimizing data transmission efficiency, and prove the application value of this method in the big data environment.

[0073] The embodiment of the present invention also provides a system for implementing HDFS metadata backup and recovery in a Kerberos environment, including a Tomcat application front-end device and a Tomcat application back-end server.

[0074] Tomcat application front-end device improves the interface for users to interact with the system;

[0075] The Tomcat application backend server receives, processes, and responds to user requests, and implements HDFS metadata backup and recovery in a Kerberos environment based on the Tomcat application and the HDFS Client.

[0076] The system implements HDFS metadata backup and recovery under Kerberos environment according to the method for implementing HDFS metadata backup and recovery under Kerberos environment described in the above embodiment. The system execution process is as follows:

[0077] The Tomcat application frontend sends a metadata backup or restore request to the Tomcat application backend;

[0078] The Tomcat application backend parses the relevant request parameters based on the different requests received;

[0079] Connect to the server where the Tomcat application is located and cache the Kerberos ticket of the HDFS administrator user;

[0080] Get the HDFS NameNode master node, and open up the network connection between the server where Tomcat is located and the NameNode master node and the backup and recovery related nodes;

[0081] If it is an HDFS metadata backup, connect to the NameNode master node, package and back up the NameNode metadata directory to the current user folder, then connect to the backup-related node specified by the user, and download the metadata backup recovery file from the NameNode master node user directory;

[0082] If it is HDFS metadata recovery, query the backup-related information in the backend data backup table, connect to the node where the backup data is located, stop all NameNode nodes, back up the existing metadata directories on all NameNode nodes, and restore the backed-up HDFS metadata files to the metadata directories of all NameNode nodes;

[0083] Update the relevant backup and recovery data information in the Tomcat application backend data table. The Tomcat application front end determines whether the task is successfully executed by querying the backend database table.

[0084] The embodiment of the present invention also provides a device for implementing HDFS metadata backup and recovery in a Kerberos environment, comprising: at least one memory and at least one processor;

[0085] The at least one memory is used to store a machine-readable program;

[0086] The at least one processor is used to call the machine-readable program to implement the method for implementing HDFS metadata backup and recovery in a Kerberos environment described in the above embodiment.

[0087] The embodiment of the present invention also provides a computer-readable medium, on which computer instructions are stored, and when the computer instructions are executed by a processor, the processor executes the method for implementing HDFS metadata backup and recovery in a Kerberos environment described in the above embodiment. Specifically, a system or device equipped with a storage medium can be provided, on which software program codes implementing the functions of any of the above embodiments are stored, and a computer (or CPU or MPU) of the system or device reads and executes the program code stored in the storage medium.

[0088] In this case, the program code itself read from the storage medium can realize the function of any one of the above-mentioned embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.

[0089] The storage medium embodiments for providing the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), a magnetic tape, a non-volatile memory card, and a ROM. Alternatively, the program code can be downloaded from a server computer by a communication network.

[0090] In addition, it should be clear that the functions of any of the above embodiments can be implemented not only by executing the program code read by the computer, but also by enabling an operating system operating on the computer to complete part or all of the actual operations based on instructions from the program code.

[0091] In addition, it can be understood that the program code read from the storage medium is written to a memory provided in an expansion board inserted into the computer or written to a memory provided in an expansion unit connected to the computer, and then based on the instructions of the program code, a CPU installed on the expansion board or the expansion unit is enabled to perform part or all of the actual operations, thereby realizing the functions of any of the above-mentioned embodiments.

[0092] The present invention is shown and described in detail above through the accompanying drawings and preferred embodiments. However, the present invention is not limited to these disclosed embodiments. Based on the above multiple embodiments, those skilled in the art can know that the code review methods in the above different embodiments can be combined to obtain more embodiments of the present invention, and these embodiments are also within the protection scope of the present invention.

Claims

1. A method for implementing HDFS metadata backup and recovery in a Kerberos environment, characterized in that: HDFS metadata backup and recovery in Kerberos environment is implemented based on Tomcat application and HDFS Client. The implementation of this method includes: 1) The Tomcat application front end sends a metadata backup or restore request to the Tomcat application back end; 2) The Tomcat application backend parses the relevant request parameters based on the different requests received; 3) Connect to the server where the Tomcat application is located and cache the Kerberos ticket of the HDFS administrator user; 4) Get the HDFS NameNode master node, and open up the network connection between the Tomcat server and the NameNode master node and the backup and recovery related nodes; 5) If it is HDFS metadata backup, connect to the NameNode master node, package and back up the NameNode metadata directory to the current user folder, then connect to the backup-related node specified by the user, and download the metadata backup recovery file from the NameNode master node user directory; 6) If it is HDFS metadata recovery, query the backup related information in the backend data backup table, connect to the node where the backup data is located, stop all NameNode nodes, back up the existing metadata directories on all NameNode nodes, and restore the backed up HDFS metadata files to the metadata directories of all NameNode nodes; 7) Update the relevant backup and recovery data information in the Tomcat application backend data table. The Tomcat application front end determines whether the task is successfully executed by querying the backend database table.

2. According to a method for implementing HDFS metadata backup and recovery under Kerberos environment according to claim 1, it is characterized in that: The backup or restore request sent by the Tomcat application front end contains relevant parameters, including the backup directory, the restore file path, the user-specified server IP, and the server login method.

3. A method for implementing HDFS metadata backup and recovery under Kerberos environment according to claim 1 or 2, characterized in that: The user enters relevant operation requests through the front-end page, including selecting the HDFS metadata directory to be backed up or specifying the backup file path to be restored. The request parameters will be sent to the Tomcat application backend for processing, thereby triggering the corresponding backup or restore operation; The backend of the Tomcat application is responsible for receiving, processing, and responding to user requests. When receiving a backup or restore request from a user, the backend will parse the request parameters and extract key information including the backup directory and restore file path for subsequent operations.

4. The method for implementing HDFS metadata backup and recovery under Kerberos environment according to claim 1, characterized in that: The Tomcat application backend obtains the Kerberos ticket of the HDFS administrator user by executing the Kerberos command in the SSH connection and caches it for identity authentication when subsequent operations are required.

5. The method for implementing HDFS metadata backup and recovery under Kerberos environment according to claim 1, characterized in that: Use HDFS Client to determine the NameNode master node in the HDFS cluster, and use the command line to ensure that the network connection of the backup and recovery related nodes is smooth, and perform data backup and recovery operations; The Tomcat application backend uses the HDFS Client to establish a network connection with the HDFS cluster, including connecting to the NameNode master node to obtain metadata information, and connecting to backup and recovery related nodes to perform data backup and recovery operations.

6. A method for implementing HDFS metadata backup and recovery under Kerberos environment according to claim 1 or 5, characterized in that: For HDFS metadata backup requests, the Tomcat application backend connects to the NameNode master node in the HDFS cluster, obtains the NameNode metadata directory, and packages and backs it up to the current user folder; then, based on the backup-related node information specified by the user, it connects to the corresponding node and downloads the metadata backup recovery file from the NameNode master node user directory; This operation completes the backup of HDFS metadata and ensures the safe storage and transmission of backup files. For HDFS metadata recovery requests, after receiving the HDFS metadata recovery request, the Tomcat application backend first queries the backup-related information in the backend database table, obtains the path and node information of the backup file, and verifies whether the backup specified by the user is available; then connects to the node where the backup metadata file is located and stops all NameNode nodes to ensure data consistency; Then back up the existing metadata directories on all NameNode nodes and restore the user-specified HDFS metadata backup files to the metadata directories of all NameNode nodes; This operation restores the HDFS metadata and ensures that the restored data is consistent with the backup file, thus ensuring the integrity and reliability of the HDFS metadata.

7. The method for implementing HDFS metadata backup and recovery under Kerberos environment according to claim 1, characterized in that: After the backup and restore operation is completed, the Tomcat application backend writes the relevant backup and restore data information to the backend database table, including the operation type, execution result, and operation time; this information can be used for subsequent query and monitoring; The Tomcat application front end obtains the execution result of the backup and recovery operation by querying the back-end database table to determine whether the task is successfully executed; if the operation is successful, the front end will display the corresponding prompt information to the user; If the operation fails, the front end will remind the user that the operation failed and the reason for the failure.

8. A system for implementing HDFS metadata backup and recovery in a Kerberos environment, characterized in that: The system implements HDFS metadata backup and recovery in a Kerberos environment according to any one of the methods described in claims 1 to 7. The system includes a Tomcat application front-end device and a Tomcat application back-end server. Tomcat application front-end device improves the interface for users to interact with the system; The Tomcat application backend server receives, processes, and responds to user requests, and implements HDFS metadata backup and recovery in a Kerberos environment based on the Tomcat application and HDFSClient.

9. A device for implementing HDFS metadata backup and recovery in a Kerberos environment, characterized in that: include: at least one memory and at least one processor; The at least one memory is used to store a machine-readable program; The at least one processor is used to call the machine-readable program to implement the method described in any one of claims 1 to 7.

10. A computer-readable medium, characterized in that The computer readable medium stores computer instructions, which, when executed by a processor, cause the processor to execute the method according to any one of claims 1 to 7.

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