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Nandish Kotadia updated KAFKA-5868: ----------------------------------- Description: 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. Also it kills many of my Kafka Streams processes. *Note: My Kafka Streams processes are running on the same machine as of Kafka Broker.* 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 was: 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 > 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. Also it kills many of my Kafka > Streams processes. > *Note: My Kafka Streams processes are running on the same machine as of Kafka > Broker.* > 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)