Real-time data synchronization method and system based on Redis

Abstract

The invention discloses a real-time data synchronization method and system based on Redis, and belongs to the technical field of computers, a source system generates data, caches the data through Redis middleware and realizes real-time synchronization, and a target system receives and processes the data transmitted by the Redis middleware; real-time data synchronization is carried out based on a Redis publishing-subscribing mechanism, and the accuracy and stability of data are ensured by utilizing a persistence mechanism provided by Redis; the data synchronization process comprises data writing, data updating and data deleting; when a source system generates new data, firstly, the data are written into Redis middleware, and a proper data structure is used for storage; when the data of the source system is updated, the corresponding data is found in the Redis middleware according to the unique identifier of the data, and then the data content is updated. According to the invention, real-time data synchronization is realized, the efficiency and reliability of data synchronization are improved, and the requirement of real-time data processing is met.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method and system for real-time data synchronization based on Redis. Background Art

[0002] In recent years, with the rapid development of big data and real-time data processing, the demand for data synchronization has become increasingly urgent. However, traditional data synchronization methods have problems such as high latency and insufficient reliability, which cannot meet the requirements of real-time data processing. Summary of the invention

[0003] The technical task of the present invention is to address the above shortcomings and provide a method and system for real-time data synchronization based on Redis, which can realize real-time data synchronization, thereby improving the efficiency and reliability of data synchronization and meeting the needs of real-time data processing.

[0004] The technical solution adopted by the present invention to solve its technical problem is:

[0005] A real-time data synchronization method based on Redis. The source system generates data, caches the data through Redis middleware and realizes real-time synchronization. The target system receives and processes the data transmitted by the Redis middleware. Real-time data synchronization is performed based on the Redis publish-subscribe (Pub / Sub) mechanism, and the persistence mechanism provided by Redis is used to ensure the accuracy and stability of the data.

[0006] The data synchronization process includes data writing, data updating and data deletion;

[0007] When the source system generates new data, the data is first written into the Redis middleware and stored using a suitable data structure.

[0008] The data update, when the data in the source system is updated, first find the corresponding data in the Redis middleware according to the unique identifier of the data, and then update the data content;

[0009] For data deletion, after the source system executes the data deletion operation, the deletion instruction is sent to the Redis middleware to ensure that the data in Redis is consistent with the source system.

[0010] By introducing the middle layer Redis service between the source database and the target database, the real-time publishing of source data and the real-time subscription of target data are realized. At the same time, by using Redis's publish-subscribe mechanism and persistence mechanism, the accuracy and stability of data during transmission are ensured. Data producers publish data to designated channels, and data consumers receive data by subscribing to corresponding channels. Redis's fast responsiveness and reliability ensure real-time data delivery, while the persistence mechanism ensures that data will not be lost due to system failures.

[0011] Furthermore, the data is written to organize and classify the data according to business requirements, for example, using a Hash data structure, where the key is the business identifier or data type, and the value is the data content;

[0012] In addition, you can use multiple Redis instances for data storage and sharding as needed to improve concurrent processing capabilities.

[0013] Furthermore, the data update utilizes the publish / subscribe function of Redis to achieve real-time synchronization of data;

[0014] After writing data to Redis, the data source publishes the corresponding data change information to the specified channel; the client that needs to synchronize data subscribes to the corresponding channel, receives data change information in real time, and synchronizes the data to the target system. Through the publish / subscribe model, real-time data transmission can be achieved, avoiding the low efficiency and high latency of the traditional polling method.

[0015] Furthermore, the data is deleted by finding the corresponding data according to the unique identifier of the data and deleting the data from the Redis middleware;

[0016] The deletion operation is synchronized to the target system to ensure that the data in the target system is consistent with the source system; through the publish / subscribe model or other real-time synchronization mechanism, the deletion operation information is sent to the target system, allowing the target system to synchronously execute the corresponding deletion operation;

[0017] After the target system receives the deletion operation information, it deletes the corresponding data according to the unique identifier of the data to ensure the consistency of the data in the target system.

[0018] Further, methods to ensure real-time data synchronization include:

[0019] 1) Message queue mechanism: A message queue is used between the Redis middleware and the target system. After the source system writes data into Redis, it sends a message to notify the target system to process it, thus achieving real-time data transmission;

[0020] 2) Scheduled synchronization strategy: To address the delay problem of data synchronization, a scheduled synchronization strategy is designed to regularly check the data consistency between the source system and the Redis middleware, and perform synchronization operations to ensure the final consistency of the data;

[0021] 3) Incremental synchronization mechanism: In order to achieve real-time data synchronization, an incremental synchronization mechanism is used to handle data changes. When data changes, the source system sends the changed data to the Redis middleware and records the timestamp of the change; the target system regularly polls the timestamp in Redis, filters out the newly added or updated data, and performs corresponding synchronization operations to ensure the real-time and accuracy of the data;

[0022] 4) To ensure the real-time data synchronization, high reliability is achieved by setting up a redundant backup mechanism: by setting up master-slave replication or multi-node deployment, the Redis middleware and the target system are redundantly backed up. When the master node fails, it automatically switches to the backup node to ensure the continuity and real-time performance of data synchronization;

[0023] 5) Establish a data synchronization monitoring and alarm system to monitor the status and performance indicators of data synchronization in real time; through the monitoring and alarm system, timely discover problems such as data synchronization delays, errors or anomalies, and send alarm notifications through emails, text messages, etc. to ensure the real-time and accuracy of data synchronization;

[0024] 6) Optimize the performance of the data synchronization process, including optimizing code implementation, adjusting system configuration, using high-performance hardware devices, etc., to improve the speed and efficiency of data synchronization, reduce the time and resource consumption of data synchronization, and improve the real-time and stability of data synchronization;

[0025] 7) Fault handling and disaster recovery plan: Plan for possible faults that may occur during data synchronization, including emergency response plans for network failures, system crashes, etc., to ensure the real-time and reliability of data synchronization and reduce the risk of data loss and business interruption;

[0026] 8) Monitoring and optimization: Use monitoring tools to monitor the entire data synchronization process in real time and optimize performance; make adjustments and optimizations based on monitoring data to improve the speed and efficiency of data synchronization and ensure the real-time and accuracy of data.

[0027] Further, ways to ensure data consistency include:

[0028] 1) Transaction mechanism: In data writing, updating and deleting operations, Redis transaction mechanism is used to ensure the atomicity of these operations to avoid data inconsistency;

[0029] 2) Backup and recovery: Back up the data in Redis regularly. To ensure data reliability and consistency, combine the persistence function of Redis to persist the data to the disk. Select the RDB persistence method and configure it according to the needs. The persistence function can quickly restore data when the Redis server is restarted or fails, ensuring data integrity and system stability.

[0030] 3) Data synchronization verification: During the data synchronization process, a data synchronization verification mechanism is used to verify the consistency of data between the source system and the Redis middleware. By comparing the source data with the data in Redis, the data is checked to see if it is complete and accurate, and data synchronization problems are discovered in a timely manner to ensure the consistency of data synchronization.

[0031] 4) Data compression and encryption: In order to improve the efficiency and security of data synchronization, data compression and encryption technology are used to compress the data that needs to be synchronized, reduce the network traffic of data transmission, and improve the efficiency of data transmission; at the same time, encryption algorithms are used to encrypt the data to ensure the security of the data during transmission;

[0032] 5) Record data version information through the data version control mechanism: When the source system changes the data, mark the data as a new version and synchronize the new version of the data to the Redis middleware and the target system; when the target system receives the new version of the data, it updates it according to the version information to ensure the consistency and correctness of the data;

[0033] 6) Ensure data consistency through data redundancy and distributed architecture: Perform data backup and synchronization between multiple Redis nodes and build a distributed system architecture to improve system reliability and fault tolerance. At the same time, use a load balancing mechanism to achieve balanced distribution and flow of data between nodes to ensure data consistency and reliability.

[0034] 7) Continuous integration and testing: During the development process, the consistency and correctness of data synchronization are verified through continuous integration and automated testing. The data synchronization operations of the source system and the target system are incorporated into the continuous integration process. The data synchronization process is tested and verified regularly to promptly identify and fix potential problems and ensure the reliability and stability of data synchronization.

[0035] The present invention also claims protection for a real-time data synchronization system based on Redis, including a source system, a Redis middleware and a target system, wherein the source system generates data, caches the data through the Redis middleware and implements real-time synchronization, and the target system receives and processes the data transmitted by the Redis middleware;

[0036] The system realizes real-time data synchronization through the above-mentioned method of real-time data synchronization based on Redis.

[0037] Furthermore, the system's realization of real-time data synchronization specifically includes a data source module, a data synchronization service module, a Redis database, a data consumption service module, and a client application.

[0038] The data source module is used to provide data. The data source is the origin of the original data, including databases, message queues, etc.

[0039] The data synchronization service module is responsible for obtaining the data from the data source in real time and synchronizing the data to the Redis in-memory database.

[0040] The Redis database is used to store the real-time synchronized data and provides fast data access and query functions.

[0041] The data consumption service module is used to read the data from the Redis database and use the data for business processing or display.

[0042] For the said client application, users can access the data consumption service through the client application to realize data display and analysis.

[0043] The present invention also claims to protect an implementation device for real-time data synchronization based on Redis, including: at least one memory and at least one processor;

[0044] The said at least one memory is used to store machine-readable programs;

[0045] The said at least one processor is used to call the machine-readable program to implement the above-mentioned method.

[0046] The present invention also claims to protect a computer-readable medium, on which computer instructions are stored. When the computer instructions are executed by a processor, the processor is caused to execute the above-mentioned method.

[0047] Compared with the prior art, a method and system for real-time data synchronization based on Redis of the present invention have the following beneficial effects:

[0048] The present invention can realize real-time data synchronization based on Redis. By utilizing the high-performance in-memory storage and publish-subscribe function of Redis, fast data transmission and real-time update are achieved.

[0049] The present invention solves the problems of data delay and data loss in traditional data synchronization methods. By using Redis as middleware, data can be effectively synchronized from one data source to another, ensuring the real-time and accuracy of the data. The present invention also provides a reliable data synchronization mechanism to ensure the security and integrity of data during transmission, thereby meeting the high requirements of enterprises for data synchronization.

[0050] The present invention enables users to migrate and synchronize data more simply and efficiently. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a flowchart of a method for real-time data synchronization based on Redis provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0053] The embodiment of the present invention provides a method for real-time data synchronization based on Redis, wherein a source system generates data, caches the data through Redis middleware and realizes real-time synchronization, and a target system receives and processes the data transmitted by the Redis middleware; real-time data synchronization is performed based on the Redis publish-subscribe (Pub / Sub) mechanism, and the accuracy and stability of the data are ensured by using the persistence mechanism provided by Redis; and real-time publishing of source data and real-time subscription of target data are realized by introducing the middle-layer Redis service between the source database and the target database. At the same time, by using the publish-subscribe mechanism and persistence mechanism of Redis, the accuracy and stability of the data during the transmission process are ensured. The data producer publishes the data to the specified channel, and the data consumer receives the data by subscribing to the corresponding channel. The rapid responsiveness and reliability of Redis ensure the real-time transmission of data, and the persistence mechanism ensures that the data will not be lost due to system failure. The method has the advantages of simple implementation, high efficiency, strong reliability, etc., and is suitable for various real-time data synchronization scenarios, such as distributed system data backup, real-time data sharing, etc.

[0054] The data synchronization process includes data writing, data updating and data deletion.

[0055] When the source system generates new data, the data is first written into the Redis middleware and stored using a suitable data structure. The data can be organized and classified according to business requirements, such as using a Hash data structure, where the key is the business identifier or data type and the value is the data content. In addition, multiple Redis instances can be used for data storage and sharding as needed to improve concurrent processing capabilities.

[0056] The data update, when the data of the source system is updated, first find the corresponding data in the Redis middleware according to the unique identifier of the data, and then update the data content. Use the publish / subscribe function of Redis to achieve real-time data synchronization. After the data source writes the data to Redis, it publishes the corresponding data change information to the specified channel; and the client that needs to synchronize data subscribes to the corresponding channel, receives data change information in real time, and synchronizes the data to the target system. Through the publish / subscribe mode, real-time data transmission can be achieved, avoiding the low efficiency and high latency of the traditional polling method.

[0057] For the data deletion, after the source system executes the data deletion operation, it is necessary to send the deletion instruction to the Redis middleware to ensure that the data in Redis is consistent with the source system. Find the corresponding data according to the unique identifier of the data, and delete the data from the Redis middleware. The deletion operation also needs to be synchronized to the target system to ensure that the data in the target system is consistent with the source system. Through the publish / subscribe mode or other real-time synchronization mechanism, the deletion operation information is sent to the target system, allowing the target system to synchronously execute the corresponding deletion operation. After the target system receives the deletion operation information, it deletes the corresponding data according to the unique identifier of the data to ensure the consistency of the data in the target system.

[0058] In order to ensure the real-time nature of data synchronization, the following measures are adopted:

[0059] 1. Message queue mechanism: A message queue is used between the Redis middleware and the target system. After the source system writes data to Redis, it sends a message to notify the target system for processing, thus achieving real-time data transmission.

[0060] 2. Scheduled synchronization strategy: To address the delay problem of data synchronization, a scheduled synchronization strategy is designed to regularly check the data consistency between the source system and the Redis middleware, and perform synchronization operations to ensure the final consistency of the data.

[0061] 3. Incremental synchronization mechanism: In order to achieve real-time data synchronization, an incremental synchronization mechanism is used to handle data changes. When the data changes, the source system sends the changed data to the Redis middleware and records the timestamp of the change. The target system regularly polls the timestamp in Redis, filters out the newly added or updated data, and performs corresponding synchronization operations to ensure the real-time and accuracy of the data.

[0062] 4. High reliability implementation: In order to ensure the real-time data synchronization, a redundant backup mechanism is set up. By setting up master-slave replication or multi-node deployment, the Redis middleware and the target system are redundantly backed up. When the master node fails, it automatically switches to the backup node to ensure the continuity and real-time performance of data synchronization.

[0063] 5. Monitoring and alarm system: A data synchronization monitoring and alarm system has been established to monitor the status and performance indicators of data synchronization in real time. Through the monitoring system, problems such as data synchronization delays, errors or anomalies can be discovered in a timely manner, and alarm notifications can be sent through emails, text messages, etc. to ensure the real-time and accuracy of data synchronization.

[0064] 6. Performance optimization: Optimize the performance of the data synchronization process to improve the speed and efficiency of data synchronization. By optimizing code implementation, adjusting system configuration, using high-performance hardware devices, etc., the time and resource consumption of data synchronization can be reduced, and the real-time and stability of data synchronization can be improved.

[0065] 7. Fault handling and disaster recovery plan: A comprehensive fault handling and disaster recovery plan has been developed to plan for possible faults that may occur during data synchronization, including emergency response plans for network failures, system crashes, etc., to ensure the real-time and reliability of data synchronization and reduce the risk of data loss and business interruption.

[0066] 8. Monitoring and optimization: Use monitoring tools to monitor the entire data synchronization process in real time and optimize performance. Make adjustments and optimizations based on monitoring data to improve the speed and efficiency of data synchronization and ensure the real-time and accuracy of data.

[0067] In order to ensure data consistency, the following measures are adopted:

[0068] 1. Transaction mechanism: In data writing, updating and deleting operations, use Redis's transaction mechanism to ensure the atomicity of these operations and avoid data inconsistency.

[0069] 2. Backup and recovery: Back up the data in Redis regularly. In order to ensure the reliability and consistency of the data, combine the persistence function of Redis to persist the data to the disk. Select the RDB persistence mode and configure it according to the needs. The persistence function can quickly restore data when the Redis server is restarted or fails, ensuring data integrity and system stability.

[0070] 3. Data synchronization verification: During the data synchronization process, a data synchronization verification mechanism is used to verify the consistency of data between the source system and the Redis middleware. By comparing the source data with the data in Redis, check whether the data is complete and accurate, and discover data synchronization problems in a timely manner to ensure the consistency of data synchronization.

[0071] 4. Data compression and encryption: In order to improve the efficiency and security of data synchronization, data compression and encryption technology are used. The data to be synchronized is compressed to reduce the network traffic of data transmission and improve the efficiency of data transmission. At the same time, encryption algorithms are used to encrypt the data to ensure the security of the data during transmission.

[0072] 5. Data version control: Introduce a data version control mechanism to record data version information. When the source system changes the data, mark the data as a new version and synchronize the new version of the data to the Redis middleware and the target system. When the target system receives the new version of the data, it updates it according to the version information to ensure data consistency and correctness.

[0073] 6. Data redundancy and distributed architecture: Data consistency is ensured through data redundancy and distributed architecture. Data is backed up and synchronized between multiple Redis nodes, and a distributed system architecture is built to improve the reliability and fault tolerance of the system. At the same time, a load balancing mechanism is used to achieve balanced distribution and flow of data between nodes, ensuring data consistency and reliability.

[0074] 7. Continuous integration and testing: During the development process, the consistency and correctness of data synchronization are verified through continuous integration and automated testing. The data synchronization operations of the source system and the target system are incorporated into the continuous integration process, and the data synchronization process is tested and verified regularly to promptly discover and fix potential problems and ensure the reliability and stability of data synchronization.

[0075] As attached Figure 1 As shown, the process of implementing this method is as follows:

[0076] The data source provides data in real time. The data source is the source of the original data, which can be a database, message queue, etc.

[0077] The data synchronization service is responsible for obtaining data from the data source in real time and synchronizing the data to the Redis memory database;

[0078] The Redis database stores real-time synchronized data and provides fast data access and query functions;

[0079] The data consumption service reads data from the Redis database and uses the data for business processing or display;

[0080] Users can access data consumption services through client applications to display and analyze data.

[0081] This method makes full use of the high performance and persistence characteristics of the Redis in-memory database, combines the publish-subscribe model and data persistence capabilities, and realizes real-time data synchronization, thereby improving the efficiency and reliability of data synchronization and meeting the needs of real-time data processing.

[0082] The embodiment of the present invention also provides a system for real-time data synchronization based on Redis, which realizes real-time data synchronization through the method for real-time data synchronization based on Redis described in the above embodiment. The system includes a source system, Redis middleware and a target system, the source system generates data, caches the data through the Redis middleware and realizes real-time synchronization, and the target system receives and processes the data transmitted by the Redis middleware.

[0083] The system realizes real-time data synchronization, including data source module, data synchronization service module, Redis database, data consumption service module and client application.

[0084] The data source module is used to implement data provision. The data source is the source of the original data, including databases, message queues, etc.

[0085] The data synchronization service module is responsible for obtaining data from the data source in real time and synchronizing the data to the Redis memory database;

[0086] The Redis database is used to store real-time synchronized data and provide fast data access and query functions;

[0087] The data consumption service module is used to read data from the Redis database and use the data for business processing or display;

[0088] The client application can be used by users to access data consumption services to display and analyze data.

[0089] The data synchronization process of this system includes data writing, data updating and data deletion.

[0090] When the source system generates new data, the data is first written into the Redis middleware and stored using a suitable data structure. The data can be organized and classified according to business requirements, such as using a Hash data structure, where the key is the business identifier or data type and the value is the data content. In addition, multiple Redis instances can be used for data storage and sharding as needed to improve concurrent processing capabilities.

[0091] The data update, when the data of the source system is updated, first find the corresponding data in the Redis middleware according to the unique identifier of the data, and then update the data content. Use the publish / subscribe function of Redis to achieve real-time data synchronization. After the data source writes the data to Redis, it publishes the corresponding data change information to the specified channel; and the client that needs to synchronize data subscribes to the corresponding channel, receives data change information in real time, and synchronizes the data to the target system. Through the publish / subscribe mode, real-time data transmission can be achieved, avoiding the low efficiency and high latency of the traditional polling method.

[0092] For the data deletion, after the source system executes the data deletion operation, it is necessary to send the deletion instruction to the Redis middleware to ensure that the data in Redis is consistent with the source system. Find the corresponding data according to the unique identifier of the data, and delete the data from the Redis middleware. The deletion operation also needs to be synchronized to the target system to ensure that the data in the target system is consistent with the source system. Through the publish / subscribe mode or other real-time synchronization mechanism, the deletion operation information is sent to the target system, allowing the target system to synchronously execute the corresponding deletion operation. After the target system receives the deletion operation information, it deletes the corresponding data according to the unique identifier of the data to ensure the consistency of the data in the target system.

[0093] In order to ensure the real-time data synchronization, this system adopts the following measures:

[0094] 1. Message queue mechanism: A message queue is used between the Redis middleware and the target system. After the source system writes data to Redis, it sends a message to notify the target system for processing, thus achieving real-time data transmission.

[0095] 2. Scheduled synchronization strategy: To address the delay problem of data synchronization, a scheduled synchronization strategy is designed to regularly check the data consistency between the source system and the Redis middleware, and perform synchronization operations to ensure the final consistency of the data.

[0096] 3. Incremental synchronization mechanism: In order to achieve real-time data synchronization, an incremental synchronization mechanism is used to handle data changes. When the data changes, the source system sends the changed data to the Redis middleware and records the timestamp of the change. The target system regularly polls the timestamp in Redis, filters out the newly added or updated data, and performs corresponding synchronization operations to ensure the real-time and accuracy of the data.

[0097] 4. High reliability implementation: In order to ensure the real-time data synchronization, a redundant backup mechanism is set up. By setting up master-slave replication or multi-node deployment, the Redis middleware and the target system are redundantly backed up. When the master node fails, it automatically switches to the backup node to ensure the continuity and real-time performance of data synchronization.

[0098] 5. Monitoring and alarm system: A data synchronization monitoring and alarm system has been established to monitor the status and performance indicators of data synchronization in real time. Through the monitoring system, problems such as data synchronization delays, errors or anomalies can be discovered in a timely manner, and alarm notifications can be sent through emails, text messages, etc. to ensure the real-time and accuracy of data synchronization.

[0099] 6. Performance optimization: Optimize the performance of the data synchronization process to improve the speed and efficiency of data synchronization. By optimizing code implementation, adjusting system configuration, using high-performance hardware devices, etc., the time and resource consumption of data synchronization can be reduced, and the real-time and stability of data synchronization can be improved.

[0100] 7. Fault handling and disaster recovery plan: A comprehensive fault handling and disaster recovery plan has been developed to plan for possible faults that may occur during data synchronization, including emergency response plans for network failures, system crashes, etc., to ensure the real-time and reliability of data synchronization and reduce the risk of data loss and business interruption.

[0101] 8. Monitoring and optimization: Use monitoring tools to monitor the entire data synchronization process in real time and optimize performance. Make adjustments and optimizations based on monitoring data to improve the speed and efficiency of data synchronization and ensure the real-time and accuracy of data.

[0102] In order to ensure data consistency, this system adopts the following measures:

[0103] 1. Transaction mechanism: In data writing, updating and deleting operations, use Redis's transaction mechanism to ensure the atomicity of these operations and avoid data inconsistency.

[0104] 2. Backup and recovery: Back up the data in Redis regularly. In order to ensure the reliability and consistency of the data, combine the persistence function of Redis to persist the data to the disk. Select the RDB persistence mode and configure it according to the needs. The persistence function can quickly restore data when the Redis server is restarted or fails, ensuring data integrity and system stability.

[0105] 3. Data synchronization verification: During the data synchronization process, a data synchronization verification mechanism is used to verify the consistency of data between the source system and the Redis middleware. By comparing the source data with the data in Redis, check whether the data is complete and accurate, and discover data synchronization problems in a timely manner to ensure the consistency of data synchronization.

[0106] 4. Data compression and encryption: In order to improve the efficiency and security of data synchronization, data compression and encryption technology are used. The data to be synchronized is compressed to reduce the network traffic of data transmission and improve the efficiency of data transmission. At the same time, encryption algorithms are used to encrypt data to ensure the security of data during transmission.

[0107] 5. Data version control: Introduce a data version control mechanism to record data version information. When the source system changes the data, mark the data as a new version and synchronize the new version of the data to the Redis middleware and the target system. When the target system receives the new version of the data, it updates it according to the version information to ensure data consistency and correctness.

[0108] 6. Data redundancy and distributed architecture: Data consistency is ensured through data redundancy and distributed architecture. Data is backed up and synchronized between multiple Redis nodes, and a distributed system architecture is built to improve the reliability and fault tolerance of the system. At the same time, a load balancing mechanism is used to achieve balanced distribution and flow of data between nodes, ensuring data consistency and reliability.

[0109] 7. Continuous integration and testing: During the development process, the consistency and correctness of data synchronization are verified through continuous integration and automated testing. The data synchronization operations of the source system and the target system are incorporated into the continuous integration process, and the data synchronization process is tested and verified regularly to promptly discover and fix potential problems and ensure the reliability and stability of data synchronization.

[0110] The embodiment of the present invention also provides a device for implementing real-time data synchronization based on Redis, comprising: at least one memory and at least one processor;

[0111] The at least one memory is used to store a machine-readable program;

[0112] The at least one processor is used to call the machine-readable program to implement the Redis-based real-time data synchronization method described in the above embodiment.

[0113] 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 real-time data synchronization based on Redis 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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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 real-time data synchronization method based on Redis, characterized in that: The source system generates data, which is cached and synchronized in real time through the Redis middleware. The target system receives and processes the data transmitted by the Redis middleware. Real-time data synchronization is performed based on the Redis publish-subscribe mechanism, and the persistence mechanism provided by Redis is used to ensure data accuracy and stability. The data synchronization process includes data writing, data updating and data deletion; When the source system generates new data, the data is first written into the Redis middleware and stored using a suitable data structure. The data update, when the data in the source system is updated, first find the corresponding data in the Redis middleware according to the unique identifier of the data, and then update the data content; For data deletion, after the source system executes the data deletion operation, the deletion instruction is sent to the Redis middleware to ensure that the data in Redis is consistent with the source system.

2. According to a method for real-time data synchronization based on Redis according to claim 1, it is characterized in that: The data is written to organize and classify the data according to business requirements; Use multiple Redis instances for data storage and sharding as needed.

3. According to a method for real-time data synchronization based on Redis according to claim 1, it is characterized in that: The data update uses the publish / subscribe function of Redis to achieve real-time synchronization of data; After writing data to Redis, the data source publishes the corresponding data change information to the specified channel; Clients that need to synchronize data subscribe to the corresponding channel, receive data change information in real time, and synchronize the data to the target system.

4. The method for real-time data synchronization based on Redis according to claim 1, characterized in that: The data deletion includes finding the corresponding data according to the unique identifier of the data and deleting the data from the Redis middleware; The deletion operation is synchronized to the target system to ensure that the data in the target system is consistent with the source system; Through the publish / subscribe model or other real-time synchronization mechanism, the deletion operation information is sent to the target system, allowing the target system to synchronously execute the corresponding deletion operation; After the target system receives the deletion operation information, it deletes the corresponding data according to the unique identifier of the data to ensure the consistency of the data in the target system.

5. The method for real-time data synchronization based on Redis according to claim 1, characterized in that: Ways to ensure real-time data synchronization include: 1) Message queue mechanism: A message queue is used between the Redis middleware and the target system. After the source system writes data into Redis, it sends a message to notify the target system to process it, thus achieving real-time data transmission; 2) Scheduled synchronization strategy: Regularly check the data consistency between the source system and the Redis middleware, and perform synchronization operations to ensure the final consistency of the data; 3) Incremental synchronization mechanism: The incremental synchronization mechanism is used to handle data changes. When the data changes, the source system sends the changed data to the Redis middleware and records the timestamp of the change. The target system regularly polls the timestamp in Redis to filter out the newly added or updated data and perform corresponding synchronization operations. 4) Achieve high reliability by setting up a redundant backup mechanism: By setting up master-slave replication or multi-node deployment, the Redis middleware and the target system are redundantly backed up. When the master node fails, it automatically switches to the backup node to ensure the continuity and real-time performance of data synchronization; 5) Establish a data synchronization monitoring and alarm system to monitor the status and performance indicators of data synchronization in real time; through the monitoring and alarm system, timely discover data synchronization delays, errors or abnormal problems, and send alarm notifications to ensure the real-time and accuracy of data synchronization; 6) Optimize the performance of the data synchronization process, including optimizing code implementation, adjusting system configuration, and using high-performance hardware devices to reduce the time and resource consumption of data synchronization and improve the real-time and stability of data synchronization; 7) Fault handling and disaster recovery plan: Plan for possible faults that may occur during data synchronization, including emergency response plans for network failures and system crashes, to ensure the real-time and reliability of data synchronization; 8) Monitoring and optimization: Use monitoring tools to monitor the entire data synchronization process in real time and optimize performance; make adjustments and optimizations based on monitoring data to improve the speed and efficiency of data synchronization and ensure the real-time and accuracy of data.

6. The method for real-time data synchronization based on Redis according to claim 1, characterized in that: Ways to ensure data consistency include: 1) Transaction mechanism: In data writing, updating and deleting operations, Redis transaction mechanism is used to ensure the atomicity of these operations to avoid data inconsistency; 2) Backup and recovery: Back up the data in Redis regularly, and use the persistence function of Redis to persist the data to the disk; select the RDB persistence method and configure it according to the needs; 3) Data synchronization verification: During the data synchronization process, a data synchronization verification mechanism is used to verify the consistency of data between the source system and the Redis middleware. By comparing the source data with the data in Redis, the data is checked to see if it is complete and accurate, and data synchronization problems are discovered in a timely manner to ensure the consistency of data synchronization. 4) Data compression and encryption: compress the data that needs to be synchronized to reduce the network traffic of data transmission and improve the efficiency of data transmission; at the same time, use encryption algorithms to encrypt the data to ensure the security of the data during transmission; 5) Record data version information through the data version control mechanism: When the source system changes the data, mark the data as a new version and synchronize the new version of the data to the Redis middleware and the target system; when the target system receives the new version of the data, it updates it according to the version information to ensure the consistency and correctness of the data; 6) Ensure data consistency through data redundancy and distributed architecture: Perform data backup and synchronization between multiple Redis nodes and build a distributed system architecture to improve system reliability and fault tolerance. At the same time, use a load balancing mechanism to achieve balanced distribution and flow of data between nodes to ensure data consistency and reliability. 7) Continuous integration and testing: During the development process, the consistency and correctness of data synchronization are verified through continuous integration and automated testing. The data synchronization operations of the source system and the target system are incorporated into the continuous integration process. The data synchronization process is tested and verified regularly to promptly identify and fix potential problems and ensure the reliability and stability of data synchronization.

7. A real-time data synchronization system based on Redis, characterized in that: It includes the source system, Redis middleware and target system. The source system generates data, which is cached and synchronized in real time through Redis middleware. The target system receives and processes the data transmitted by Redis middleware. The system realizes real-time data synchronization through the real-time data synchronization method based on Redis described in any one of claims 1 to 6.

8. A real-time data synchronization system based on Redis according to claim 7, characterized in that: The system realizes real-time data synchronization, including data source module, data synchronization service module, Redis database, data consumption service module and client application. The data source module is used to implement data provision. The data source is the source of the original data, including databases and message queues. The data synchronization service module is responsible for obtaining data from the data source in real time and synchronizing the data to the Redis memory database; The Redis database is used to store real-time synchronized data and provide fast data access and query functions; The data consumption service module is used to read data from the Redis database and use the data for business processing or display; The client application can be used by users to access data consumption services to display and analyze data.

9. A device for implementing real-time data synchronization based on Redis, 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 6.

10. A computer-readable medium, characterized in that The computer readable medium stores computer instructions, and when the computer instructions are executed by a processor, the processor executes the method according to any one of claims 1 to 6.

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