Kafka Consumer Group

The Consumer Group page displays detailed information of a selected consumer group.

Summary Panel

The summary panel displays the current status of the following metrics.

Metric	Description
Num Clients	The number of clients.
Num Topics	The number of topics.
Client Coordinator	The host ID that is selected as client coordinator.
State	The current state of the consumer group. The state can be either of the following: Completing Rebalance, Dead, Empty, Preparing Rebalance, Stable, Unknown.
Assignment Strategy	The consumer or producer strategy used to read and assign data from topics. The strategy can be either Range or Round Robin.
# of Rebalance	The number of times rebalance was done during the selected time period.
# Rebalance Change (Avg of last 7 days)	This widget compares the average rebalances of last 7 days with current day's rebalances.

Note The statistics and data in the dashboard are displayed based on the date range selected.

Date Range

For every consumer group, you can view data in the following columns.

Note Click any row in Topic to view more details of the topic.

Column Name	Description
Topic	The topic name in the consumer group.
Num Clients	The number of clients.
Num consumers	The number of consumers.
Lag	The amount of lag between Kafka producers and consumers.

For every topic, you can view the following metrics.

Note Click Group By drop-down in the right corner of the second panel and click Topic or Client ID.

Metric	Description
Consumer ID	The ID of the consumer in the topic.
Client ID	The client ID in the topic.
Host	The host ID the consumer group is connected to.
Partition	The number of partitions the topic contains.
Topic	The name of the currently selected topic.
Lag	The amount of lag between Kafka producers and consumers.
Offset	The current position of the consumer. In case of a lag, the Offset value will be less than the End Offset value.
End Offset	The last numerical value of the unique identifier of a record.

Events panel displays the set of activities occurred in the consumer group of Kafka services, as shown in the following image.

Consumer Group Events

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