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