Mirror of Apache Kafka
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# 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 #############################
# The id of the broker. This must be set to a unique integer for each broker.
broker.id=0
# Switch to enable topic deletion or not, default value is false
#delete.topic.enable=true
############################# Socket Server Settings #############################
# The address the socket server listens on. It will get the value returned from
# java.net.InetAddress.getCanonicalHostName() if not configured.
# FORMAT:
# listeners = listener_name://host_name:port
# EXAMPLE:
# listeners = PLAINTEXT://your.host.name:9092
#listeners=PLAINTEXT://:9092
# Hostname and port the broker will advertise to producers and consumers. If not set,
# it uses the value for "listeners" if configured. Otherwise, it will use the value
# returned from java.net.InetAddress.getCanonicalHostName().
#advertised.listeners=PLAINTEXT://your.host.name:9092
# Maps listener names to security protocols, the default is for them to be the same. See the config documentation for more details
#listener.security.protocol.map=PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL
# The number of threads handling network requests
num.network.threads=3
# The number of threads doing disk I/O
num.io.threads=8
# The send buffer (SO_SNDBUF) used by the socket server
socket.send.buffer.bytes=102400
# The receive buffer (SO_RCVBUF) used by the socket server
socket.receive.buffer.bytes=102400
# The maximum size of a request that the socket server will accept (protection against OOM)
socket.request.max.bytes=104857600
############################# Log Basics #############################
# A comma seperated list of directories under which to store log files
log.dirs=/tmp/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
KAFKA-3959: enforce offsets.topic.replication.factor upon __consumer_offsets auto topic creation (KIP-115) Kafka brokers have a config called "offsets.topic.replication.factor" that specify the replication factor for the "__consumer_offsets" topic. The problem is that this config isn't being enforced. If an attempt to create the internal topic is made when there are fewer brokers than "offsets.topic.replication.factor", the topic ends up getting created anyway with the current number of live brokers. The current behavior is pretty surprising when you have clients or tooling running as the cluster is getting setup. Even if your cluster ends up being huge, you'll find out much later that __consumer_offsets was setup with no replication. The cluster not meeting the "offsets.topic.replication.factor" requirement on the internal topic is another way of saying the cluster isn't fully setup yet. The right behavior should be for "offsets.topic.replication.factor" to be enforced. Topic creation of the internal topic should fail with GROUP_COORDINATOR_NOT_AVAILABLE until the "offsets.topic.replication.factor" requirement is met. This closely resembles the behavior of regular topic creation when the requested replication factor exceeds the current size of the cluster, as the request fails with error INVALID_REPLICATION_FACTOR. Author: Onur Karaman <okaraman@linkedin.com> Reviewers: Jason Gustafson <jason@confluent.io>, Ismael Juma <ismael@juma.me.uk>, Ewen Cheslack-Postava <ewen@confluent.io> Closes #2177 from onurkaraman/KAFKA-3959
8 years ago
############################# Internal Topic Settings #############################
# 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.
KAFKA-3959: enforce offsets.topic.replication.factor upon __consumer_offsets auto topic creation (KIP-115) Kafka brokers have a config called "offsets.topic.replication.factor" that specify the replication factor for the "__consumer_offsets" topic. The problem is that this config isn't being enforced. If an attempt to create the internal topic is made when there are fewer brokers than "offsets.topic.replication.factor", the topic ends up getting created anyway with the current number of live brokers. The current behavior is pretty surprising when you have clients or tooling running as the cluster is getting setup. Even if your cluster ends up being huge, you'll find out much later that __consumer_offsets was setup with no replication. The cluster not meeting the "offsets.topic.replication.factor" requirement on the internal topic is another way of saying the cluster isn't fully setup yet. The right behavior should be for "offsets.topic.replication.factor" to be enforced. Topic creation of the internal topic should fail with GROUP_COORDINATOR_NOT_AVAILABLE until the "offsets.topic.replication.factor" requirement is met. This closely resembles the behavior of regular topic creation when the requested replication factor exceeds the current size of the cluster, as the request fails with error INVALID_REPLICATION_FACTOR. Author: Onur Karaman <okaraman@linkedin.com> Reviewers: Jason Gustafson <jason@confluent.io>, Ismael Juma <ismael@juma.me.uk>, Ewen Cheslack-Postava <ewen@confluent.io> Closes #2177 from onurkaraman/KAFKA-3959
8 years ago
offsets.topic.replication.factor=1
transaction.state.log.replication.factor=1
transaction.state.log.min.isr=1
KAFKA-3959: enforce offsets.topic.replication.factor upon __consumer_offsets auto topic creation (KIP-115) Kafka brokers have a config called "offsets.topic.replication.factor" that specify the replication factor for the "__consumer_offsets" topic. The problem is that this config isn't being enforced. If an attempt to create the internal topic is made when there are fewer brokers than "offsets.topic.replication.factor", the topic ends up getting created anyway with the current number of live brokers. The current behavior is pretty surprising when you have clients or tooling running as the cluster is getting setup. Even if your cluster ends up being huge, you'll find out much later that __consumer_offsets was setup with no replication. The cluster not meeting the "offsets.topic.replication.factor" requirement on the internal topic is another way of saying the cluster isn't fully setup yet. The right behavior should be for "offsets.topic.replication.factor" to be enforced. Topic creation of the internal topic should fail with GROUP_COORDINATOR_NOT_AVAILABLE until the "offsets.topic.replication.factor" requirement is met. This closely resembles the behavior of regular topic creation when the requested replication factor exceeds the current size of the cluster, as the request fails with error INVALID_REPLICATION_FACTOR. Author: Onur Karaman <okaraman@linkedin.com> Reviewers: Jason Gustafson <jason@confluent.io>, Ismael Juma <ismael@juma.me.uk>, Ewen Cheslack-Postava <ewen@confluent.io> Closes #2177 from onurkaraman/KAFKA-3959
8 years ago
############################# 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=168
# A size-based retention policy for logs. Segments are pruned from the log as long as the remaining
# segments don't drop below log.retention.bytes. Functions independently of log.retention.hours.
#log.retention.bytes=1073741824
# 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=localhost:2181
# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=6000