How to implement data deduplication and retry mechanism in Storm?

8 months ago

Ava Mitchell

2 minutes

You can implement data deduplication and retry mechanism in Storm by following these steps:

Deduplication mechanism:
Utilizing a cache in Spout or Bolt to store processed data, which can be in the form of a HashMap or Redis. When receiving new data, first check if it already exists in the cache – if it does, the data is ignored, if not, it is processed and stored in the cache.

Retry mechanism:
In Bolt, the ack and fail mechanisms can be used to implement data retry. When a Bolt successfully processes data, it informs Storm that the data has been successfully processed by calling collector.ack(tuple); if the processing fails, collector.fail(tuple) is called to inform Storm that the data needs to be retried. Storm will resend the failed data to the Bolt for processing until it is successfully processed.

Additionally, you can combine the use of message queues to implement a data retry mechanism. When data processing fails, send the data to the message queue and then periodically retrieve data from the message queue for retry processing. This can enhance Storm’s processing efficiency and fault tolerance.