Method for effectively solving containerized zookeeper data migration

Abstract

The invention discloses a method for effectively solving containerized zookeeper data migration. The method comprises the following steps of S1, confirming whether container environments of zookeeper and target zookeeper are consistent or not; s2, carrying out backup on the total amount of data, and clearing the data directory content of the target zookeeper; s3, data migration is carried out, and the user and the user group are modified; and S4, checking the content of the migrated data, and starting the target zookeeper. In the data migration process, service interruption caused by data migration is reduced through real-time synchronization; normal starting and running of the migrated Zookeeper are ensured through data backup and permission setting; and clear operation steps are provided, so that operation and maintenance personnel can quickly operate, and the operation risk is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of software operation and maintenance, and in particular to a method for effectively solving containerized zookeeper data migration. Background Art

[0002] Zookeeper is an open source distributed coordination service, mainly used to manage configuration, naming, synchronization and cluster management in large-scale distributed systems. Its main functions include: 1. Configuration management: Centrally manage the configuration information of applications and support dynamic updates. 2. Naming service: Provide a unique naming mechanism for distributed applications to facilitate service discovery. 3. Distributed synchronization: Provide simple distributed locks and synchronization primitives to ensure coordinated operations among multiple nodes. 4. Cluster management: Monitor the status of nodes in the cluster and support master-slave elections, load balancing and other functions.

[0003] Main features: 1. High availability: Zookeeper adopts a master-slave architecture and achieves high availability through an election mechanism to ensure that services can still be provided when some nodes fail. 2. Strong consistency: Zookeeper uses the ZAB (Zookeeper AtomicBroadcast) protocol to ensure data consistency and order, making all clients view data Figure 1 3. Simple API: Zookeeper provides a concise API that is easy to use and suitable for various programming languages, reducing the complexity of development and maintenance. 4. Node data persistence: Zookeeper's nodes (znodes) can save data and can be configured as persistent or temporary to meet the needs of different application scenarios. 5. High performance: Zookeeper can handle a large number of concurrent requests and has a short response time, which is suitable for high-frequency read and write operations. These characteristics of Zookeeper make it a key component in distributed systems and provide developers with a reliable infrastructure.

[0004] Problem: Zookeeper, as a distributed coordination service, is widely used in microservice architecture and big data ecosystem. With the development of containerization technology, the containerized deployment of Zookeeper has become more and more common. However, when migrating Zookeeper data in a container environment, challenges such as data consistency, permission settings, and downtime are often faced. Therefore, it is particularly important to develop an efficient and reliable data migration method. Summary of the invention

[0005] In order to solve the above problems, the present invention provides a method for effectively solving containerized zookeeper data migration, comprising the following steps: S1. confirming whether the container environment of zookeeper and target zookeeper are consistent; S2. backing up all data and clearing the data directory content of target zookeeper; S3. migrating data and modifying users and user groups; S4. checking the migrated data content and starting the target zookeeper.

[0006] Furthermore, the specific contents confirmed in the container environment of zookeeper and target zookeeper in step S1 include: zookeeper version and zookeeper dependency configuration.

[0007] Furthermore, in the step S2, the full amount of data is backed up specifically through the snapshot and log of Zookeeper.

[0008] Furthermore, the S3 step specifically includes the following sub-steps: S31. Copying the data directory content of the source zookeeper to the corresponding directory of the target zookeeper through the network channel; S32. Modifying the data directory permission of the target zookeeper to the original configuration.

[0009] Furthermore, the verification of the migrated data content in the step S4 mainly includes: performing a consistency check between the migrated data content and the backed-up full data.

[0010] Furthermore, a data synchronization step is included: when data is to be synchronized in real time during data migration, incremental backup is set, and updated data is regularly transferred to the target zookeeper.

[0011] The present invention provides a method for effectively solving containerized zookeeper data migration, which has the following beneficial effects: During the data migration process, the present invention reduces service interruption caused by data migration through real-time synchronization; data backup and permission setting ensure the normal startup and operation of Zookeeper after migration; and provides clear operation steps so that operation and maintenance personnel can quickly get started, reducing operation risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0013] Figure 1 The present invention provides a flow chart of the method. DETAILED DESCRIPTION

[0014] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0015] The following is a detailed description of the implementation method of the present invention in conjunction with the accompanying drawings. Only some embodiments are described, not all embodiments. For the purpose of clarity, representations and descriptions that are not related to the present invention are omitted in the drawings and descriptions.

[0016] In order to have a clearer understanding of the technical features, purposes and beneficial effects of the present invention, the technical solution of the present invention is now described in detail below. Obviously, the implementation cases described are part of the embodiments of the present invention, not all of the embodiments, and cannot be understood as limiting the scope of the implementation of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the protection scope of the present invention.

[0017] like Figure 1 As shown, the present invention provides a method for effectively solving containerized zookeeper data migration, including the following steps: S1. Confirm whether the container environment of zookeeper and target zookeeper is consistent; S2. Back up all data and clear the data directory content of target zookeeper; S3. Migrate data and modify users and user groups; S4. Check the migrated data content and start the target zookeeper.

[0018] In the S1 step, the specific contents to be confirmed in the container environment of zookeeper and the target zookeeper include: zookeeper version, zookeeper dependency configuration. Taking the 0-node PVC (persistent volume) as an example, check the user and user group of the data directory of the source node (original zookeeper). You can confirm it by running the command ls -n / path / to / data. Assuming that the obtained user and user group are 1001:root, it may also be patrol:root. Be sure to record this information in advance.

[0019] In step S2, the full data is backed up through the snapshot and log of Zookeeper. In the target Zookeeper, execute the following command to delete the current data directory content to ensure the cleanliness of the migration: rm -rf / path / to / zk2 / data / *.

[0020] Step S3 specifically includes the following sub-steps: S31. Copy the data directory content of the source zookeeper to the corresponding directory of the target zookeeper through the network channel. The specific command used is: cp -R / path / to / zk1 / data / nfs / zookeeper-data. S32. Modify the data directory permissions of the target zookeeper to the original configuration: After copying, the data directory permissions of the target node are set to root:root by default, which will cause Zookeeper to fail to start. Use the following command to modify the user and user group to the original configuration: chown 1001:root -R / nfs / zookeeper-data-zookeeper-0-pvc / data.

[0021] The verification of the migrated data content in step S4 is mainly to check the consistency of the migrated data content with the full amount of backed up data. Before starting Zookeeper on the target node, perform a data consistency check to ensure that the migrated data is complete and not damaged. You can use the Zookeeper command line tool to check the node. After confirming that all steps are correct, start the target Zookeeper and monitor its startup log to ensure that there are no problems with permissions or data integrity.

[0022] It also includes the data synchronization step: when you want to keep data in real-time synchronization during data migration, set up incremental backups, and regularly transfer updated data to the target zookeeper.

[0023] During the data migration process, the present invention reduces service interruption caused by data migration through real-time synchronization; data backup and permission setting ensure the normal startup and operation of Zookeeper after migration; and provides clear operation steps so that operation and maintenance personnel can quickly get started, reducing operation risks.

[0024] The above is only a preferred embodiment of the present invention. It should be understood that the present invention is not limited to the form disclosed herein, and should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and environments, and can be modified within the scope of the concept described herein through the above teachings or the technology or knowledge of the relevant field. The changes and modifications made by those skilled in the art shall not deviate from the spirit and scope of the present invention, and shall be within the scope of protection of the claims attached to the present invention.

Claims

1. A method for effectively solving containerized zookeeper data migration, characterized in that: The following steps are involved: S1. Confirm whether the container environment of ZooKeeper is consistent with that of the target ZooKeeper; S2. Back up all data and clear the data directory of the target zookeeper; S3. Data migration and modification of users and user groups; S4. Verify the migrated data content and start the target zookeeper.

2. The method for effectively solving containerized zookeeper data migration according to claim 1 is characterized in that: The specific contents confirmed in the container environment of zookeeper and target zookeeper in step S1 include: zookeeper version and zookeeper dependency configuration.

3. The method for effectively solving containerized zookeeper data migration according to claim 1 is characterized in that: In the step S2, the full amount of data is backed up by using the snapshot and log of Zookeeper.

4. The method for effectively solving containerized zookeeper data migration according to claim 1 is characterized in that: The S3 step specifically includes the following sub-steps: S31. Copy the data directory content of the source zookeeper to the corresponding directory of the target zookeeper through the network channel; S32. Change the permissions of the target zookeeper’s data directory to the original configuration.

5. The method for effectively solving containerized zookeeper data migration according to claim 1 is characterized in that: The verification of the migrated data content in the step S4 mainly includes: performing a consistency check between the migrated data content and the full amount of backed up data.

6. The method for effectively solving containerized zookeeper data migration according to claim 1 is characterized in that: It also includes the data synchronization step: when you want to keep data in real-time synchronization during data migration, set up incremental backups, and regularly transfer updated data to the target zookeeper.

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