How does checkpointing help in ensuring fault tolerance in streaming processing pipelines?
- Automatically retries failed tasks until successful execution
- Distributes data across multiple nodes to prevent single points of failure
- Monitors system metrics to detect abnormal behavior and trigger failover mechanisms
- Periodically saves the state of the streaming application to durable storage
Checkpointing involves periodically saving the state of a streaming application, including the processed data and the application's internal state, to durable storage such as distributed file systems. In case of failures, the system can recover from the last checkpoint, ensuring fault tolerance by resuming processing from a consistent state. This mechanism helps in maintaining data consistency and preventing data loss during failures.
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