Stream Computing Fault Handling via Checkpoint Replay

The patent introduces an intermediary checkpoint mechanism between data production and consumption. Checkpoints periodically store computation state and data sequences, acting as a mediator that enables fault recovery without requiring complex user-side verification logic. This intermediary layer handles the complexity of data integrity guarantees internally.

The system performs preliminary actions by proactively creating checkpoints before failures occur. Data sequences and computation states are persisted in advance, enabling rapid recovery without requiring complex post-failure verification logic from users. The checkpoint mechanism prepares recovery data beforehand, reducing both complexity and recovery time.

The patent segments the data processing function into multiple components: simple storage for checkpoint data, sequential recording modules for data arrival sequences, and replay modules for computation recovery. This segmentation allows the system to maintain simple storage operations while achieving high data accuracy through the coordinated work of multiple specialized components.

The system creates copies of data sequences and computation states at checkpoint intervals. These copies enable accurate replay of computations without requiring complex storage operations during normal processing. The copy mechanism preserves data accuracy while maintaining operational simplicity through standardized copy-paste semantics.

The patent implements periodic checkpoint creation at fixed intervals during stream processing. This periodic action provides reliable fault tolerance through regular state snapshots without requiring complex continuous monitoring or adaptive checkpointing logic. The periodic mechanism achieves reliability through simplicity, using fixed-time intervals rather than complex decision-making.

The system discards computation state periodically by storing it in checkpoints, then recovers from these checkpoints after failures. This discard-recover pattern provides reliable fault tolerance through simple periodic storage and recovery operations, avoiding the need for complex continuous state management or sophisticated recovery algorithms.

The checkpoint mechanism acts as an intermediary that enables exactly once semantics with no-duplicate and no-loss guarantees. By mediating between data production and consumption through periodic state snapshots, the system achieves precise data accuracy while maintaining flexibility in handling different stream processing scenarios.

The patent replaces complex mechanical verification and deduplication logic with a simpler checkpoint-based recovery mechanism. This substitution achieves exactly once semantics through state restoration rather than through complex comparison and filtering operations, improving data accuracy while maintaining scenario adaptability.