Nandish Kotadia created KAFKA-5868: -------------------------------------- Summary: Kafka Consumer Rebalancing takes too long Key: KAFKA-5868 URL: https://issues.apache.org/jira/browse/KAFKA-5868 Project: Kafka Issue Type: Bug Components: streams Affects Versions: 0.11.0.0 Reporter: Nandish Kotadia
up vote 0 down vote favorite 1 I have a Kafka Streams Application which takes data from few topics and joins the data and puts it in another topic. Kafka Configuration: 5 kafka brokers Kafka Topics - 15 partitions and 3 replication factor. Few millions of records are consumed/produced every hour. Whenever I take any kafka broker down, it goes into rebalancing and it takes approx. 30 minutes or sometimes even more for rebalancing. Anyone has any idea how to solve rebalancing issue in kafka consumer? Also, many times it throws exception while rebalancing. This is stopping us from going live in production environment with this setup. Any help would be appreciated. Caused by: org.apache.kafka.clients.consumer.CommitFailedException: ? Commit cannot be completed since the group has already rebalanced and assigned the partitions to another member. This means that the time between subsequent calls to poll() was longer than the configured max.poll.interval.ms, which typically implies that the poll loop is spending too much time message processing. You can address this either by increasing the session timeout or by reducing the maximum size of batches returned in poll() with max.poll.records. at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.sendOffsetCommitRequest(ConsumerCoordinator.java:725) at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.commitOffsetsSync(ConsumerCoordinator.java:604) at org.apache.kafka.clients.consumer.KafkaConsumer.commitSync(KafkaConsumer.java:1173) at org.apache.kafka.streams.processor.internals.StreamTask.commitOffsets(StreamTask.java:307) at org.apache.kafka.streams.processor.internals.StreamTask.access$000(StreamTask.java:49) at org.apache.kafka.streams.processor.internals.StreamTask$1.run(StreamTask.java:268) at org.apache.kafka.streams.processor.internals.StreamsMetricsImpl.measureLatencyNs(StreamsMetricsImpl.java:187) at org.apache.kafka.streams.processor.internals.StreamTask.commitImpl(StreamTask.java:259) at org.apache.kafka.streams.processor.internals.StreamTask.suspend(StreamTask.java:362) at org.apache.kafka.streams.processor.internals.StreamTask.suspend(StreamTask.java:346) at org.apache.kafka.streams.processor.internals.StreamThread$3.apply(StreamThread.java:1118) at org.apache.kafka.streams.processor.internals.StreamThread.performOnStreamTasks(StreamThread.java:1448) at org.apache.kafka.streams.processor.internals.StreamThread.suspendTasksAndState(StreamThread.java:1110) Kafka Streams Config: bootstrap.servers=kafka-1:9092,kafka-2:9092,kafka-3:9092,kafka-4:9092,kafka-5:9092 max.poll.records = 100 request.timeout.ms=40000 ConsumerConfig it internally creates is: auto.commit.interval.ms = 5000 auto.offset.reset = earliest bootstrap.servers = [kafka-1:9092, kafka-2:9092, kafka-3:9092, kafka-4:9092, kafka-5:9092] check.crcs = true client.id = conversion-live-StreamThread-1-restore-consumer connections.max.idle.ms = 540000 enable.auto.commit = false exclude.internal.topics = true fetch.max.bytes = 52428800 fetch.max.wait.ms = 500 fetch.min.bytes = 1 group.id = heartbeat.interval.ms = 3000 interceptor.classes = null internal.leave.group.on.close = false isolation.level = read_uncommitted key.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer max.partition.fetch.bytes = 1048576 max.poll.interval.ms = 2147483647 max.poll.records = 100 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 = 40000 retry.backoff.ms = 100 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.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 = null 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.ByteArrayDeserializer -- This message was sent by Atlassian JIRA (v6.4.14#64029)