title: Offset commit failed on partition
body: <p>Kafka consumer continues to print error messages</p>
  
  <p>I built a cluster (kafka version 2.3.0) using 5 machines kafka, which has a partition with a partition of 0 and a data copy of 3. When I consume the kafka-clients api, I continue to output exceptions:
  Offset commit failed on partition test-0 at offset 1: The request timed out.
  But this topic reads and writes messages are fine.</p>
  
  <p>Consumer configuration:</p>
  
  <pre><code>Auto.commit.interval.ms = 5000
  Auto.offset.reset = latest
  Bootstrap.servers = [qs-kfk-01:9092, qs-kfk-02:9092, qs-kfk-03:9092, qs-kfk-04:9092, qs-kfk-05:9092]
  Check.crcs = true
  Client.id =
  Connections.max.idle.ms = 540000
  Default.api.timeout.ms = 60000
  Enable.auto.commit = true
  Exclude.internal.topics = true
  Fetch.max.bytes = 52428800
  Fetch.max.wait.ms = 500
  Fetch.min.bytes = 1
  Group.id = erp-sales
  Heartbeat.interval.ms = 3000
  Interceptor.classes = []
  Internal.leave.group.on.close = true
  Isolation.level = read_uncommitted
  Key.deserializer = class org.apache.kafka.common.serialization.StringDeserializer
  Max.partition.fetch.bytes = 1048576
  Max.poll.interval.ms = 300000
  Max.poll.records = 500
  Metadata.max.age.ms = 300000
  Metric.reporters = []
  Metrics.num.samples = 2
  Metrics.recording.level = INFO
  Metrics.sample.window.ms = 30000
  Partition.assignment.strategy = [class org.apache.kafka.clients.consumer.RangeAssignor]
  Receive.buffer.bytes = 65536
  Reconnect.backoff.max.ms = 1000
  Reconnect.backoff.ms = 50
  Request.timeout.ms = 30000
  Retry.backoff.ms = 100
  Sasl.client.callback.handler.class = null
  Sasl.jaas.config = null
  Sasl.kerberos.kinit.cmd = /usr/bin/kinit
  Sasl.kerberos.min.time.before.relogin = 60000
  Sasl.kerberos.service.name = null
  Sasl.kerberos.ticket.renew.jitter = 0.05
  Sasl.kerberos.ticket.renew.window.factor = 0.8
  Sasl.login.callback.handler.class = null
  Sasl.login.class = null
  Sasl.login.refresh.buffer.seconds = 300
  Sasl.login.refresh.min.period.seconds = 60
  Sasl.login.refresh.window.factor = 0.8
  Sasl.login.refresh.window.jitter = 0.05
  Sasl.mechanism = GSSAPI
  Security.protocol = PLAINTEXT
  Send.buffer.bytes = 131072
  Session.timeout.ms = 10000
  Ssl.cipher.suites = null
  Ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
  Ssl.endpoint.identification.algorithm = https
  Ssl.key.password = null
  Ssl.keymanager.algorithm = SunX509
  Ssl.keystore.location = null
  Ssl.keystore.password = null
  Ssl.keystore.type = JKS
  Ssl.protocol = TLS
  Ssl.provider = null
  Ssl.secure.random.implementation = null
  Ssl.trustmanager.algorithm = PKIX
  Ssl.truststore.location = null
  Ssl.truststore.password = null
  Ssl.truststore.type = JKS
  Value.deserializer = class org.apache.kafka.common.serialization.StringDeserializer
  </code></pre>
  
  <p>java code:</p>
  
  <pre><code>ConsumerRecords&lt;K, V&gt; consumerRecords = _kafkaConsumer.poll(50L);
  for (ConsumerRecord&lt;K, V&gt; record : consumerRecords.records(topic)) {
      kafkaConsumer.receive(topic, record.key(), record.value(), record.partition(), record.offset());
  }
  </code></pre>
  
  <p>I have tried the following:</p>
  
  <ol>
  <li><p>Increase request timeout to 5 minutes (not working)</p></li>
  <li><p>Replaced another group-id (it work): I found that as long as I use this group-id, there will be problems.</p></li>
  <li><p>Kill the machine where the group coordinator is located. After the group coordinator switches to another machine, the error remains.</p></li>
  </ol>
  
  <p>I get continuous error message output in the console</p>
  
  <pre><code>2019-11-03 16:21:11.687 DEBUG org.apache.kafka.clients.consumer.internals.ConsumerCoordinator - [Consumer clientId=consumer-1, groupId=erp-sales] Sending asynchronous auto-commit of offsets {test-0=OffsetAndMetadata{offset=1, metadata=''}}
  2019-11-03 16:21:11.704 ERROR org.apache.kafka.clients.consumer.internals.ConsumerCoordinator - [Consumer clientId=consumer-1, groupId=erp-sales] Offset commit failed on partition test-0 at offset 1: The request timed out.
  2019-11-03 16:21:11.704 INFO  org.apache.kafka.clients.consumer.internals.AbstractCoordinator - [Consumer clientId=consumer-1, groupId=erp-sales] Group coordinator qs-kfk-04:9092 (id: 2147483643 rack: null) is unavailable or invalid, will attempt rediscovery
  2019-11-03 16:21:11.705 DEBUG org.apache.kafka.clients.consumer.internals.ConsumerCoordinator - [Consumer clientId=consumer-1, groupId=erp-sales] Asynchronous auto-commit of offsets {test-0=OffsetAndMetadata{offset=1, metadata=''}} failed due to retriable error: {}
  org.apache.kafka.clients.consumer.RetriableCommitFailedException: Offset commit failed with a retriable exception. You should retry committing the latest consumed offsets.
  Caused by: org.apache.kafka.common.errors.TimeoutException: The request timed out.
  2019-11-03 16:21:11.708 DEBUG org.apache.kafka.clients.NetworkClient - [Consumer clientId=consumer-1, groupId=erp-sales] Manually disconnected from 2147483643. Removed requests: OFFSET_COMMIT.
  2019-11-03 16:21:11.708 DEBUG org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient - [Consumer clientId=consumer-1, groupId=erp-sales] Cancelled request with header RequestHeader(apiKey=OFFSET_COMMIT, apiVersion=4, clientId=consumer-1, correlationId=42) due to node 2147483643 being disconnected
  2019-11-03 16:21:11.708 DEBUG org.apache.kafka.clients.consumer.internals.ConsumerCoordinator - [Consumer clientId=consumer-1, groupId=erp-sales] Asynchronous auto-commit of offsets {test-0=OffsetAndMetadata{offset=1, metadata=''}} failed due to retriable error: {}
  org.apache.kafka.clients.consumer.RetriableCommitFailedException: Offset commit failed with a retriable exception. You should retry committing the latest consumed offsets.
  Caused by: org.apache.kafka.common.errors.DisconnectException: null
  </code></pre>
  
  <ol>
  <li><p>Why did the submission of the offset fail?</p></li>
  <li><p>Why is the offset information in the kafka cluster still correct when the submission fails?</p></li>
  </ol>
  
  <p>Thank you for your help.</p>