# Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # see kafka.server.KafkaConfig for additional details and defaults ############################# Server Basics ############################# listeners=SASL_PLAINTEXT://{{ inventory_hostname }}:9094,PLAINTEXT://{{ inventory_hostname }}:9092,SSL://{{ inventory_hostname }}:9095 advertised.listeners=SASL_PLAINTEXT://{{ inventory_hostname }}:9094,PLAINTEXT://{{ inventory_hostname }}:9092,SSL://{{ inventory_hostname }}:9095 ssl.keystore.location=/opt/{{ component_version }}/config/keystore.jks ssl.keystore.password=galaxy2019 ssl.key.password=galaxy2019 ssl.truststore.location=/opt/{{ component_version }}/config/truststore.jks ssl.truststore.password=galaxy2019 #ssl.client.auth=required ssl.enabled.protocols=TLSv1.2,TLSv1.1,TLSv1 ssl.keystore.type=JKS ssl.truststore.type=JKS # kafka2.0.x开始,将ssl.endpoint.identification.algorithm设置为了HTTPS,即:需要验证主机名 # 如果不需要验证主机名,那么可以这么设置 ssl.endpoint.identification.algorithm=即可 ssl.endpoint.identification.algorithm= # 设置内部访问也用SSL,默认值为security.inter.broker.protocol=PLAINTEXT security.inter.broker.protocol=SASL_PLAINTEXT #sasl配置 sasl.mechanism.inter.broker.protocol=PLAIN sasl.enabled.mechanisms=PLAIN # The id of the broker. This must be set to a unique integer for each broker. broker.id={{ groups['kafka'].index(inventory_hostname) +1 }} ############################# Socket Server Settings ############################# #Is it deleted directlytopic delete.topic.enable=true #Are you allowed to create automatically topic auto.create.topics.enable=false #Enable log periodic deletion strategy log.cleanup.policy=delete # The number of threads that the server uses for receiving requests from the network and sending responses to the network num.network.threads=3 # The number of threads that the server uses for processing requests, which may include disk I/O num.io.threads=8 # The send buffer (SO_SNDBUF) used by the socket server socket.send.buffer.bytes=10485760 # The receive buffer (SO_RCVBUF) used by the socket server socket.receive.buffer.bytes=10485760 # The maximum size of a request that the socket server will accept (protection against OOM) #socket.request.max.bytes=2147483600 socket.request.max.bytes=104857600 #The maximum size of a message body, unit byte. message.max.bytes=10485760 #replicas Maximum size of data obtained eachtime replica.fetch.max.bytes=20485760 ############################# Log Basics ############################# # A comma seperated list of directories under which to store log files log.dirs=/opt/{{ component_version }}/kafka-logs # The default number of log partitions per topic. More partitions allow greater # parallelism for consumption, but this will also result in more files across # the brokers. num.partitions=1 # The number of threads per data directory to be used for log recovery at startup and flushing at shutdown. # This value is recommended to be increased for installations with data dirs located in RAID array. num.recovery.threads.per.data.dir=1 ############################# Internal Topic Settings ############################# {% if groups.kafka | length >= 3 %} # The replication factor for the group metadata internal topics "__consumer_offsets" and "__transaction_state" # For anything other than development testing, a value greater than 1 is recommended for to ensure availability such as 3. offsets.topic.replication.factor=3 #事务主题的复制因子(设置更高以确保可用性)。 内部主题创建将失败,直到群集大小满足此复制因素要求 transaction.state.log.replication.factor=3 #覆盖事务主题的min.insync.replicas配置,在min.insync.replicas中,replicas数量为1,该参数将默认replicas定义为2 transaction.state.log.min.isr=2 {% elif groups.kafka | length == 1 %} # The replication factor for the group metadata internal topics "__consumer_offsets" and "__transaction_state" # For anything other than development testing, a value greater than 1 is recommended for to ensure availability such as 3. offsets.topic.replication.factor=1 #事务主题的复制因子(设置更高以确保可用性)。 内部主题创建将失败,直到群集大小满足此复制因素要求 transaction.state.log.replication.factor=1 #覆盖事务主题的min.insync.replicas配置,在min.insync.replicas中,replicas数量为1,该参数将默认replicas定义为2 transaction.state.log.min.isr=1 {% endif %} #是否允许非ISR的Replica参与竞选Leader。 unclean.leader.election.enable=true #如果某个Partition的Leader挂掉,则当原来挂掉的Broker恢复正常以后,可以夺回Leader auto.leader.rebalance.enable=true ############################# Log Flush Policy ############################# # Messages are immediately written to the filesystem but by default we only fsync() to sync # the OS cache lazily. The following configurations control the flush of data to disk. # There are a few important trade-offs here: # 1. Durability: Unflushed data may be lost if you are not using replication. # 2. Latency: Very large flush intervals may lead to latency spikes when the flush does occur as there will be a lot of data to flush. # 3. Throughput: The flush is generally the most expensive operation, and a small flush interval may lead to exceessive seeks. # The settings below allow one to configure the flush policy to flush data after a period of time or # every N messages (or both). This can be done globally and overridden on a per-topic basis. # The number of messages to accept before forcing a flush of data to disk #log.flush.interval.messages=10000 # The maximum amount of time a message can sit in a log before we force a flush #log.flush.interval.ms=1000 ############################# Log Retention Policy ############################# # The following configurations control the disposal of log segments. The policy can # be set to delete segments after a period of time, or after a given size has accumulated. # A segment will be deleted whenever *either* of these criteria are met. Deletion always happens # from the end of the log. # The minimum age of a log file to be eligible for deletion due to age log.retention.hours={{ kafka['log.retention.hours'] }} # A size-based retention policy for logs. Segments are pruned from the log unless the remaining # segments drop below log.retention.bytes. Functions independently of log.retention.hours. log.retention.bytes={{ kafka['log.retention.bytes'] }} # The maximum size of a log segment file. When this size is reached a new log segment will be created. log.segment.bytes=1073741824 # The interval at which log segments are checked to see if they can be deleted according # to the retention policies log.retention.check.interval.ms=300000 ############################# Zookeeper ############################# # Zookeeper connection string (see zookeeper docs for details). # This is a comma separated host:port pairs, each corresponding to a zk # server. e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002". # You can also append an optional chroot string to the urls to specify the # root directory for all kafka znodes. zookeeper.connect={% for dev_info in groups.zookeeper -%} {% if loop.last -%} {{dev_info}}:2181/kafka {%- else %} {{dev_info}}:2181, {%- endif %} {%- endfor %} # Timeout in ms for connecting to zookeeper zookeeper.connection.timeout.ms=60000 #zookeeper session超时时间 zookeeper.session.timeout.ms=60000 #Set zookeeper client to use secure ACLs zookeeper.set.acl=false ############################# Group Coordinator Settings ############################# # The following configuration specifies the time, in milliseconds, that the GroupCoordinator will delay the initial consumer rebalance. # The rebalance will be further delayed by the value of group.initial.rebalance.delay.ms as new members join the group, up to a maximum of max.poll.interval.ms. # The default value for this is 3 seconds. # We override this to 0 here as it makes for a better out-of-the-box experience for development and testing. # However, in production environments the default value of 3 seconds is more suitable as this will help to avoid unnecessary, and potentially expensive, rebalances during application startup. group.initial.rebalance.delay.ms=0