How does Flume ensure data reliability and consistency?

Flume ensures data reliability and consistency through the following methods:

  1. Transactional mechanism: Flume utilizes a transactional mechanism to ensure the reliability and consistency of data. During the data transfer process, Flume divides the data into multiple transaction units, each with its own transaction ID and sequence number. Only after all transaction units have been successfully sent will Flume confirm the entire data transfer process is successful.
  2. Retry Mechanism: If a transaction unit fails to send, Flume will automatically retry until successful, ensuring data is not lost during transmission.
  3. Reliability monitoring: Flume monitors the process of data transmission, promptly detects any transmission failures or timeouts, and takes appropriate actions to ensure reliable data transfer.
  4. Persistent storage: Flume supports storing data in persistent storage systems such as HDFS and Kafka to ensure data can be safely stored and retrieved.

Overall, Flume ensures data reliability and consistency through mechanisms such as transactional control, retry control, reliability monitoring, and persistent storage. These mechanisms and strategies help users prevent data loss or errors during the data transfer process.


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