Consumer Repeatedly Consumes Data

Symptom

When the data volume is large, rebalance occurs frequently, causing repeated consumption. The key logs are as follows:

2018-05-12 10:58:42,561 | INFO | [kafka-request-handler-3] | [GroupCoordinator 2]: Preparing to restabilize group DemoConsumer with old generation 118 | kafka.coordinator.GroupCoordinator (Logging.scala:68)
2018-05-12 10:58:43,245 | INFO | [kafka-request-handler-5] | [GroupCoordinator 2]: Stabilized group DemoConsumer generation 119 | kafka.coordinator.GroupCoordinator (Logging.scala:68)
2018-05-12 10:58:43,560 | INFO | [kafka-request-handler-7] | [GroupCoordinator 2]: Assignment received from leader for group DemoConsumer for generation 119 | kafka.coordinator.GroupCoordinator (Logging.scala:68)
2018-05-12 10:59:13,562 | INFO | [executor-Heartbeat] | [GroupCoordinator 2]: Preparing to restabilize group DemoConsumer with old generation 119 | kafka.coordinator.GroupCoordinator (Logging.scala:68)
2018-05-12 10:59:13,790 | INFO | [kafka-request-handler-3] | [GroupCoordinator 2]: Stabilized group DemoConsumer generation 120 | kafka.coordinator.GroupCoordinator (Logging.scala:68)
2018-05-12 10:59:13,791 | INFO | [kafka-request-handler-0] | [GroupCoordinator 2]: Assignment received from leader for group DemoConsumer for generation 120 | kafka.coordinator.GroupCoordinator (Logging.scala:68)
2018-05-12 10:59:43,802 | INFO | [kafka-request-handler-2] | Rolled new log segment for '__consumer_offsets-17' in 2 ms. | kafka.log.Log (Logging.scala:68)
2018-05-12 10:59:52,456 | INFO | [group-metadata-manager-0] | [Group Metadata Manager on Broker 2]: Removed 0 expired offsets in 0 milliseconds. | kafka.coordinator.GroupMetadataManager (Logging.scala:68)
2018-05-12 11:00:49,772 | INFO | [kafka-scheduler-6] | Deleting segment 0 from log __consumer_offsets-17. | kafka.log.Log (Logging.scala:68)
2018-05-12 11:00:49,773 | INFO | [kafka-scheduler-6] | Deleting index /srv/BigData/kafka/data4/kafka-logs/__consumer_offsets-17/00000000000000000000.index.deleted | kafka.log.OffsetIndex (Logging.scala:68)
2018-05-12 11:00:49,773 | INFO | [kafka-scheduler-2] | Deleting segment 2147948547 from log __consumer_offsets-17. | kafka.log.Log (Logging.scala:68)
2018-05-12 11:00:49,773 | INFO | [kafka-scheduler-4] | Deleting segment 4282404355 from log __consumer_offsets-17. | kafka.log.Log (Logging.scala:68)
2018-05-12 11:00:49,775 | INFO | [kafka-scheduler-2] | Deleting index /srv/BigData/kafka/data4/kafka-logs/__consumer_offsets-17/00000000002147948547.index.deleted | kafka.log.OffsetIndex (Logging.scala:68)
2018-05-12 11:00:49,775 | INFO | [kafka-scheduler-4] | Deleting index /srv/BigData/kafka/data4/kafka-logs/__consumer_offsets-17/00000000004282404355.index.deleted | kafka.log.OffsetIndex (Logging.scala:68)
2018-05-12 11:00:50,533 | INFO | [kafka-scheduler-6] | Deleting segment 4283544095 from log __consumer_offsets-17. | kafka.log.Log (Logging.scala:68)
2018-05-12 11:00:50,569 | INFO | [kafka-scheduler-6] | Deleting index /srv/BigData/kafka/data4/kafka-logs/__consumer_offsets-17/00000000004283544095.index.deleted | kafka.log.OffsetIndex (Logging.scala:68)
2018-05-12 11:02:21,178 | INFO | [kafka-request-handler-2] | [GroupCoordinator 2]: Preparing to restabilize group DemoConsumer with old generation 120 | kafka.coordinator.GroupCoordinator (Logging.scala:68)
2018-05-12 11:02:22,839 | INFO | [kafka-request-handler-4] | [GroupCoordinator 2]: Stabilized group DemoConsumer generation 121 | kafka.coordinator.GroupCoordinator (Logging.scala:68)
2018-05-12 11:02:23,169 | INFO | [kafka-request-handler-1] | [GroupCoordinator 2]: Assignment received from leader for group DemoConsumer for generation 121 | kafka.coordinator.GroupCoordinator (Logging.scala:68)
2018-05-12 11:02:49,913 | INFO | [kafka-request-handler-6] | Rolled new log segment for '__consumer_offsets-17' in 2 ms. | kafka.log.Log (Logging.scala:68)

In the logs, "Preparing to restabilize group DemoConsumer with old generation" indicates that rebalance occurs.

Possible Causes

The parameter settings are improper.

Cause Analysis

Cause: Due to improper parameter settings, the data processing time is too long when the data volume is large. Balance frequently occurs, and the offset cannot be submitted normally. As a result, the data is repeatedly consumed.

Principle: The offset is submitted only after the poll data is processed. If the processing duration after the poll data is processed exceeds the duration specified by session.timeout.ms, the rebalance occurs. As a result, the consumption fails and the offset of the consumed data cannot be submitted. Therefore, the data is consumed at the old offset next time. As a result, the data is repeatedly consumed.

Solution

Adjust the following service parameters on Manager:

request.timeout.ms=100000
session.timeout.ms=90000
max.poll.records=50
heartbeat.interval.ms=3000

Among the preceding parameters:

The value of request.timeout.ms is 10s greater than that of session.timeout.ms.
The value of session.timeout.ms must be within the values of group.min.session.timeout.ms and group.max.session.timeout.ms on the server.

Set the parameters as required. The max.poll.records parameter specifies the number of records for each poll. The purpose is to ensure that the processing time of poll data does not exceed the value of session.timeout.ms.