Method and system for realizing automatic rollback of state of controllable processor based on Apache NiFi

Abstract

The invention relates to the technical field of big data processing, in particular to a method and system for achieving automatic rollback of the state of a controllable processor based on Apache NiFi, and the method comprises the following steps: state information collection and storage and state recovery execution; the method and the system for realizing automatic rollback of the state of the controllable processor based on the Apache NiFi have the beneficial effects that after the Apache NiFi controller is restarted, the state of each processor under the controller can be automatically rolled back to the final state before the controller stops, so that the service continuity is ensured. According to the method, a state snapshot mechanism and a state storage and recovery strategy are established, and a REST API interface of NiFi is combined, so that efficient and accurate rollback of the state of the processor is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of big data processing, and in particular to a method and system for realizing automatic rollback of controllable processor state based on Apache NiFi. Background Art

[0002] In existing Apache NiFi applications, when a controller needs to be restarted due to maintenance, upgrade, or unexpected failure, the processor state under its management is usually not retained, which may cause the ongoing data processing tasks to be interrupted or important state information to be lost.

[0003] Although NiFi provides persistent storage capabilities for data streams, it lacks direct management and rollback mechanisms for processor states, which poses challenges to maintenance and fault recovery. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for realizing automatic rollback of controllable processor state based on Apache NiFi, so as to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for realizing automatic rollback of controllable processor state based on Apache NiFi, the method comprising the following steps:

[0006] State information collection and storage: Develop scripts or microservices to call NiFi's REST API in a scheduled or real-time manner to capture the current state information of all processors, including processor ID, state, configuration parameters, and relationship connections, and encrypt and store this information in the state storage database;

[0007] State recovery execution: retrieve the target state information from the state storage database, compare the current configuration with the stored configuration, call NiFi's REST API to update the configuration of the difference, realize automatic rollback of the processor state, and verify whether the rollback is successful by querying the processor state.

[0008] Preferably, the method further comprises the following steps:

[0009] Visual monitoring and management: Build a Web front-end interface to display the current status of the controller and each processor, and provide function buttons for viewing historical status records and triggering status recovery, allowing administrators to select the status at a specific point in time for rollback operations.

[0010] Preferably, the method further comprises the following steps:

[0011] Controller event monitoring and response: Implement the start / stop event monitoring of the NiFi controller. Once the controller restart is detected, the state recovery module is automatically triggered to retrieve and restore the last state of the processor from the state storage database.

[0012] Preferably, the following enhancement measures are also included:

[0013] Enhanced elasticity and fault tolerance: A distributed storage solution is used as the state storage database, and data replication and consistency protocols are implemented to ensure the integrity and accessibility of state information. At the same time, the state recovery module has an intelligent sorting function to prioritize the recovery of processors on the critical path.

[0014] Preferably, the following functions are also included:

[0015] State recovery policy configuration: allows administrators to set different recovery policies through the management interface, such as recovery by processor importance priority, state recovery within a specified time window, or manual selection of recovery points. It also introduces rule engine technology to support complex logical judgments and realize intelligent decision-making for state recovery.

[0016] A controllable processor state automatic rollback system based on Apache NiFi, the system comprising:

[0017] Status monitoring and recording module: used to periodically or in real time monitor the status information of all processors in the NiFi environment, including operating status and configuration parameters. This information is obtained by calling NiFi's REST API interface and stored in the status storage database after encryption.

[0018] State storage database: used to persistently store processor state information collected from the monitoring module to ensure that the state information is retained when the NiFi controller is restarted or fails;

[0019] Visual management interface: Provides a graphical interface to display the current system status, including the real-time status of the processor, historical status records, and integrates a function button to trigger status recovery, allowing administrators to select the status at a specific time point for rollback operations;

[0020] State recovery module: It is automatically activated when the NiFi controller starts. By comparing the current processor state with the stored state information, it automatically adjusts the processor configuration to the most recent normal state to ensure rapid system recovery.

[0021] Preferably, the status monitoring and recording module further includes:

[0022] Real-time status capture function: call NiFi REST API regularly or in real time to obtain processor status information;

[0023] Data storage function: The acquired status information is encrypted and stored in the status storage database.

[0024] Preferably, a controller event monitoring and response module is also included, and the module includes:

[0025] Event monitoring mechanism: used to monitor the start / stop events of the NiFi controller;

[0026] Automatic recovery logic: Once a controller restart is detected, the state recovery module is automatically triggered to retrieve and restore the processor state from the state storage database.

[0027] Preferably, measures to enhance resilience and fault tolerance are also included, specifically including:

[0028] Distributed state storage: Use distributed storage solutions such as Apache Cassandra or Amazon DynamoDB to ensure the availability and fault tolerance of state information;

[0029] Data consistency guarantee: Implement data replication and consistency protocols, such as Raft or Paxos, in a distributed storage environment to ensure the consistency and reliability of state information;

[0030] Progressive execution of state recovery: The state recovery module has intelligent sorting function, which prioritizes the recovery of processors on the critical path to ensure business continuity.

[0031] Preferably, the following enhancements are included:

[0032] Custom recovery policy configuration: allows administrators to set different recovery policies through the management interface, such as recovery by processor importance priority and state recovery within a specified time window;

[0033] Policy execution rule engine: Introducing rule engine technology to support complex logical judgment and realize intelligent decision-making for state recovery;

[0034] Logging and auditing functions: Record detailed logs of each status monitoring, storage, and recovery operation, and automatically generate regular audit reports to help evaluate system stability and optimize strategies;

[0035] High availability and disaster recovery: Design and implement backup state storage solutions across data centers or cloud regions to ensure that when the primary data center fails, services can be quickly switched to backup resources to continue to be provided;

[0036] Elastic Scaling and Resource Management: Integrated resource monitoring tools automatically adjust resources based on processor load to maintain system efficiency and cost-effectiveness.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] The method and system for realizing automatic rollback of controllable processor state based on Apache NiFi proposed in the present invention can automatically roll back the state of each processor under the controller to the last state before the controller was stopped after the Apache NiFi controller is restarted, thereby ensuring business continuity. The method realizes efficient and accurate rollback of processor state by establishing a state snapshot mechanism, state storage and recovery strategy, and combining NiFi's REST API interface. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 is a flow chart of the method of the present invention;

[0040] Figure 2 This is a schematic diagram of the processor operating state under the Nifi controller of the present invention;

[0041] Figure 3 This is a schematic diagram of the restart controller of the present invention;

[0042] Figure 4 It is a schematic diagram of the automatic saving and restoring state of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose and technical solution of the present invention clearly and completely described, and the advantages more clearly understood, the embodiments of the present invention are further described in detail with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are part of the embodiments of the present invention, rather than all of the embodiments, and are only used to explain the embodiments of the present invention, and are not used to limit the embodiments of the present invention. All other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] For example, see Figures 1 to 4 The present invention provides a technical solution: a method for realizing automatic rollback of controllable processor state based on Apache NiFi, the method comprising the following steps:

[0045] S1. State information collection and storage

[0046] S1.1 Real-time status capture: Develop scripts or microservices to call the NiFi REST API (such as / nifi-api / controller / process-groups / {id}) regularly or in real time to obtain all processors and their status information.

[0047] S1.2 Data storage: The captured state information is encrypted and stored in the state storage database, including but not limited to processor ID, state (Running / Stopped), configuration parameters, relationship connections, etc.

[0048] S2. Visual monitoring and management

[0049] S2.1 Interface design: Build a web front-end interface to display the current status of the controller and each processor, and provide an option to view historical status records.

[0050] S2.2 Operation interface: A function button for triggering status recovery is integrated into the interface, allowing the administrator to select the status at a specific time point for rollback operation.

[0051] S3. Controller event monitoring and response

[0052] S3.1 Event Monitoring: Implement the start / stop event monitoring mechanism for the NiFi controller, which can be achieved through log monitoring or NiFi's own event notification system.

[0053] S3.2 Automatic recovery logic: Once the controller restart is detected, the state recovery module is automatically triggered. The module first retrieves the last saved processor state information from the state storage database.

[0054] S4. State recovery execution

[0055] S4.1 Configuration comparison and adjustment: The state recovery module traverses all processors, compares the current configuration with the stored configuration, and calls the corresponding NiFi REST API (such as / nifi-api / processors / {id}) for the processor with differences to update the configuration.

[0056] S4.2 Status verification: After completing the configuration update, query the processor status again to verify whether it has been successfully rolled back to the target state, and feedback the results through the log or management interface.

[0057] S5. Enhanced elasticity and fault tolerance

[0058] S5.1 Distributed state storage: To improve the availability and fault tolerance of the system, the state storage database uses a distributed storage solution (such as Apache Cassandra or Amazon DynamoDB) to ensure that even a single node failure does not affect the integrity and accessibility of the state information.

[0059] S5.2 Data consistency guarantee: Implement data replication and consistency protocols (such as Raft or Paxos) in a distributed storage environment to ensure the consistency and reliability of state information among multiple nodes.

[0060] S5.3 Progressive execution of state recovery: The state recovery module should have an intelligent sorting function to prioritize the recovery of processors on the critical path to restore the main process of the data flow as soon as possible, and then gradually recover other auxiliary processors to ensure business continuity while reducing resource competition and potential conflicts during the recovery process.

[0061] Security and Optimization

[0062] Data encryption: Ensure that information stored in the state database is encrypted and protect sensitive configurations from unauthorized access.

[0063] Fault-tolerant processing: Add error handling logic to the state recovery process, record and alarm the processors that fail to recover, so as to facilitate manual intervention.

[0064] Performance optimization: Optimize the state collection and recovery algorithm to reduce the impact on NiFi system performance, especially when deployed on large-scale processors.

[0065] S6. Grayscale testing strategy

[0066] S6.1 Select some non-critical business flows: Deploy the automatic rollback solution on a small number of processors or business processes in the actual production environment to perform functional verification and stability testing in real scenarios.

[0067] S6.2 Monitoring and Evaluation: Evaluate the effectiveness of the solution in a grayscale environment through log analysis, performance indicator monitoring, and user feedback, especially the accuracy and efficiency of state recovery, and the degree of interference with existing workflows.

[0068] S6.3 Gradual promotion plan: Based on the results of the grayscale test, formulate a detailed phased promotion plan, give priority to promoting it in business lines or departments with high availability requirements, and gradually expand the scope of application.

[0069] S7. State recovery strategy configuration

[0070] S7.1 Customized recovery strategy: allows administrators to set different recovery strategies through the management interface, such as recovery by processor importance priority, status recovery within a specified time window, or manual selection of recovery points, to meet different business needs.

[0071] S7.2 Policy Execution Rule Engine: Introduces rule engine technology to support complex logical judgments, making state recovery more intelligent and able to automatically decide the best recovery path based on preset rules.

[0072] S8.Audit logs and reports

[0073] S8.1 Detailed operation log: A detailed log is recorded for each status monitoring, storage, and recovery operation, including the operation time, operator (if triggered manually), operation content, and results, to facilitate post-audit and problem tracking.

[0074] S8.2 Regular audit reports: The system automatically generates audit reports on processor status changes and recovery status and provides them to management personnel to help evaluate system stability and optimize strategies.

[0075] S9. Multi-node status synchronization

[0076] S9.1 Cluster state synchronization mechanism: In a multi-node NiFi cluster, ensure that the state monitoring and recovery module achieves real-time synchronization of state information between all nodes to avoid single point failure leading to state information loss.

[0077] S9.2 Disaster Recovery Plan: Design and implement a backup state storage solution across data centers or cloud regions to ensure that when the primary data center fails, it can quickly switch to backup resources to continue providing state recovery services.

[0078] S10. Dynamic resource adjustment

[0079] S10.1 Adaptive processor load monitoring: Integrated resource monitoring tools to continuously monitor processor load, including CPU usage, memory usage, network IO, etc.

[0080] S10.2 Automatic expansion and contraction: According to preset policies, it automatically increases processor instances when the processor load is too high, or releases excess resources when the load decreases to maintain system efficiency and cost-effectiveness.

[0081] Through the above technical scheme, the present invention not only realizes the automatic rollback of the NiFi processor state, but also improves the maintainability and fault recovery capability of the system, ensuring the continuity and reliability of data processing tasks.

[0082] Embodiment 2, based on embodiment 1, proposes a controllable processor state automatic rollback system based on Apache NiFi, the system comprising:

[0083] Status monitoring and recording module: used to periodically or in real time monitor the status information of all processors in the NiFi environment, including operating status and configuration parameters, obtain this information by calling NiFi's REST API interface, and encrypt and store it in the status storage database; further includes:

[0084] Real-time status capture function: call NiFi REST API regularly or in real time to obtain processor status information;

[0085] Data storage function: The acquired status information is encrypted and stored in the status storage database.

[0086] State storage database: used to persistently store processor state information collected from the monitoring module to ensure that the state information is retained when the NiFi controller is restarted or fails;

[0087] Visual management interface: Provides a graphical interface to display the current system status, including the real-time status of the processor, historical status records, and integrates a function button to trigger status recovery, allowing administrators to select the status at a specific time point for rollback operations;

[0088] State recovery module: It is automatically activated when the NiFi controller starts. By comparing the current processor state with the stored state information, it automatically adjusts the processor configuration to the most recent normal state to ensure rapid system recovery.

[0089] It also includes a controller event monitoring and response module, which includes:

[0090] Event monitoring mechanism: used to monitor the start / stop events of the NiFi controller;

[0091] Automatic recovery logic: Once a controller restart is detected, the state recovery module is automatically triggered to retrieve and restore the processor state from the state storage database.

[0092] It also includes resilience and fault tolerance enhancements, including:

[0093] Distributed state storage: Use distributed storage solutions such as Apache Cassandra or Amazon DynamoDB to ensure the availability and fault tolerance of state information;

[0094] Data consistency guarantee: Implement data replication and consistency protocols, such as Raft or Paxos, in a distributed storage environment to ensure the consistency and reliability of state information;

[0095] Progressive execution of state recovery: The state recovery module has intelligent sorting function, which prioritizes the recovery of processors on the critical path to ensure business continuity.

[0096] Includes the following enhancements:

[0097] Custom recovery policy configuration: allows administrators to set different recovery policies through the management interface, such as recovery by processor importance priority and state recovery within a specified time window;

[0098] Policy execution rule engine: Introducing rule engine technology to support complex logical judgment and realize intelligent decision-making for state recovery;

[0099] Logging and auditing functions: Record detailed logs of each status monitoring, storage, and recovery operation, and automatically generate regular audit reports to help evaluate system stability and optimize strategies;

[0100] High availability and disaster recovery: Design and implement backup state storage solutions across data centers or cloud regions to ensure that when the primary data center fails, services can be quickly switched to backup resources to continue to be provided;

[0101] Elastic Scaling and Resource Management: Integrated resource monitoring tools automatically adjust resources based on processor load to maintain system efficiency and cost-effectiveness.

[0102] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for realizing automatic rollback of controllable processor state based on Apache NiFi, characterized in that: The method comprises the following steps: State information collection and storage: Develop scripts or microservices to call NiFi's REST API in a scheduled or real-time manner to capture the current state information of all processors, including processor ID, state, configuration parameters, and relationship connections, and encrypt and store this information in the state storage database; State recovery execution: retrieve the target state information from the state storage database, compare the current configuration with the stored configuration, call NiFi's REST API to update the configuration of the difference, realize automatic rollback of the processor state, and verify whether the rollback is successful by querying the processor state.

2. According to claim 1, a method for realizing automatic rollback of controllable processor state based on Apache NiFi is characterized in that: The following steps are also included: Visual monitoring and management: Build a Web front-end interface to display the current status of the controller and each processor, and provide function buttons for viewing historical status records and triggering status recovery, allowing administrators to select the status at a specific point in time for rollback operations.

3. According to claim 2, a method for realizing automatic rollback of controllable processor state based on Apache NiFi is characterized in that: The following steps are also included: Controller event monitoring and response: Implement the start / stop event monitoring of the NiFi controller. Once the controller restart is detected, the state recovery module is automatically triggered to retrieve and restore the last state of the processor from the state storage database.

4. According to claim 1, a method for realizing automatic rollback of controllable processor state based on Apache NiFi is characterized in that: The following enhancements are also included: Enhanced elasticity and fault tolerance: A distributed storage solution is used as the state storage database, and data replication and consistency protocols are implemented to ensure the integrity and accessibility of state information. At the same time, the state recovery module has an intelligent sorting function to prioritize the recovery of processors on the critical path.

5. According to claim 1, a method for realizing automatic rollback of controllable processor state based on Apache NiFi is characterized in that: Also includes the following features: State recovery policy configuration: allows administrators to set different recovery policies through the management interface, such as recovery by processor importance priority, state recovery within a specified time window, or manual selection of recovery points. It also introduces rule engine technology to support complex logical judgments and realize intelligent decision-making for state recovery.

6. A method for realizing automatic rollback of controllable processor state based on Apache NiFi according to any one of claims 1 to 5, and a system for realizing automatic rollback of controllable processor state based on Apache NiFi, characterized in that: The system comprises: Status monitoring and recording module: used to periodically or in real time monitor the status information of all processors in the NiFi environment, including operating status and configuration parameters. This information is obtained by calling NiFi's REST API interface and stored in the status storage database after encryption. State storage database: used to persistently store processor state information collected from the monitoring module to ensure that the state information is retained when the NiFi controller is restarted or fails; Visual management interface: Provides a graphical interface to display the current system status, including the real-time status of the processor, historical status records, and integrates a function button to trigger status recovery, allowing administrators to select the status at a specific time point for rollback operations; State recovery module: It is automatically activated when the NiFi controller starts. By comparing the current processor state with the stored state information, it automatically adjusts the processor configuration to the most recent normal state to ensure rapid system recovery.

7. According to claim 6, a controllable processor state automatic rollback system based on Apache NiFi is characterized in that: The status monitoring and recording module further includes: Real-time status capture function: call NiFi REST API regularly or in real time to obtain processor status information; Data storage function: The acquired status information is encrypted and stored in the status storage database.

8. The system for realizing automatic rollback of controllable processor state based on Apache NiFi according to claim 6, characterized in that: It also includes a controller event monitoring and response module, which includes: Event monitoring mechanism: used to monitor the start / stop events of the NiFi controller; Automatic recovery logic: Once a controller restart is detected, the state recovery module is automatically triggered to retrieve and restore the processor state from the state storage database.

9. The system for realizing automatic rollback of controllable processor state based on Apache NiFi according to claim 6, characterized in that: It also includes resilience and fault tolerance enhancements, including: Distributed state storage: Use distributed storage solutions such as Apache Cassandra or Amazon DynamoDB to ensure the availability and fault tolerance of state information; Data consistency guarantee: Implement data replication and consistency protocols, such as Raft or Paxos, in a distributed storage environment to ensure the consistency and reliability of state information; Progressive execution of state recovery: The state recovery module has intelligent sorting function, which prioritizes the recovery of processors on the critical path to ensure business continuity.

10. The system for realizing automatic rollback of controllable processor state based on Apache NiFi according to claim 6, characterized in that: Includes the following enhancements: Custom recovery policy configuration: allows administrators to set different recovery policies through the management interface, such as recovery by processor importance priority and state recovery within a specified time window; Policy execution rule engine: Introducing rule engine technology to support complex logical judgment and realize intelligent decision-making for state recovery; Logging and auditing functions: Record detailed logs of each status monitoring, storage, and recovery operation, and automatically generate regular audit reports to help evaluate system stability and optimize strategies; High availability and disaster recovery: Design and implement backup state storage solutions across data centers or cloud regions to ensure that when the primary data center fails, services can be quickly switched to backup resources to continue to be provided; Elastic Scaling and Resource Management: Integrated resource monitoring tools automatically adjust resources based on processor load to maintain system efficiency and cost-effectiveness.

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