Consumer Offset Commit Strategies

The video tutorial discusses two common strategies for committing offsets in a consumer application. The first strategy involves enabling autocommit, which automatically commits offsets at regular intervals. This method is straightforward but can be risky if asynchronous processing is used. The second strategy involves disabling autocommit and manually committing offsets, providing more control over when commits occur. The tutorial explains the advantages and disadvantages of each approach and provides examples of how they can be implemented, particularly in the context of Elasticsearch.

What are the two most common patterns for committing offsets in a consumer application?

• Batch processing and real-time processing

• Enabling autocommit and manual offset committing

• Offset resetting and offset skipping

• Using synchronous and asynchronous processing

What is the default behavior when autocommit is enabled?

• Offsets are committed only at the end of processing

• Offsets are committed manually

• Offsets are committed automatically at regular intervals

• Offsets are never committed

Why might enabling autocommit be risky for beginners?

• It causes data loss

• It leads to data duplication

• Offsets might be committed before data is processed

• It requires complex configuration

What advantage does disabling autocommit provide?

• Simplified configuration

• Faster data processing

• Control over when offsets are committed

• Automatic error handling

In the manual offset committing strategy, when are offsets typically committed?

• When a batch of records is flushed to a database

• Before processing begins

• At the start of processing

• After every message is processed