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The article does a good job of explaining the basics of Kafka consumer groups.
However, there are a few points that I would like to clarify:
💥 The article states that "a consumer group is a logical grouping of consumers that consume messages from the same topic."
This is technically correct, but it's important to note that a consumer group can also consume messages from multiple topics. This is done by configuring the consumer group to consume all of the partitions for a given topic.
💥 The article states that "each consumer in a consumer group has a unique identifier, and each message is assigned to a single consumer."
This is also technically correct, but it's important to note that the assignment of messages to consumers is not always deterministic.
In some cases, a message may be assigned to a different consumer than the one that was assigned the previous message. This is because Kafka uses a round-robin algorithm to assign messages to consumers, and the order in which the consumers are polled can vary.
💥 The article states that "consumer groups can be configured to use different consumption strategies."
This is correct, but the article does not mention all of the available consumption strategies. For example, consumers can also be configured to consume messages based on their timestamp, or they can be configured to consume messages based on their key.
Overall, the article is a good introduction to Kafka consumer groups. However, it's important to keep in mind that there are some subtleties that are not covered in the article. I hope this clarification helps!