04. Kafka 설정 꼼꼼히 들여다보기

kafka/server.properties at trunk · apache/kafka

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# 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
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#    <http://www.apache.org/licenses/LICENSE-2.0>
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# 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.

#
# This configuration file is intended for use in ZK-based mode, where Apache ZooKeeper is required.
# 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
// broker id 유일한 값이어야 한다.

############################# Socket Server Settings #############################

# The address the socket server listens on. If not configured, the host name will be equal to the value of
# java.net.InetAddress.getCanonicalHostName(), with PLAINTEXT listener name, and port 9092.
#   FORMAT:
#     listeners = listener_name://host_name:port
#   EXAMPLE:
#     listeners = PLAINTEXT://your.host.name:9092
#listeners=PLAINTEXT://:9092
// broker에서 참조하는 endpoint

# Listener name, hostname and port the broker will advertise to clients.
# If not set, it uses the value for "listeners".
#advertised.listeners=PLAINTEXT://your.host.name:9092
// producer or consumer가 참조하는 endpoint
/**
* 나눠서 관리하는 이유
* 1. 외부 트레픽은 프록시나 로드벨런서를 타고 들어오는데 브로커로 직접 붙이는게 낫다.
* 2. 외부, 내부의 보안을 따로 관리하기 위해
*/

# 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 that the server uses for receiving requests from the network and sending responses to the network
num.network.threads=3
// 서버가 직접 응답을 받거나 내보내거나 하는 스레드

# The number of threads that the server uses for processing requests, which may include disk I/O
num.io.threads=8
// 서버가 클라이언트의 요청을 처리할 때 disk io를 처리할 때 스레드

# 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 separated list of directories under which to store log files
log.dirs=/tmp/kafka-logs
// 브로커가 데이터가 저장하는 dir 설정

# 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
// 기본적으로 사용할 파티션 개수(지정을 하지 않는 경우 사용됨)

# 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  #############################
# 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 to ensure availability such as 3.
offsets.topic.replication.factor=1
transaction.state.log.replication.factor=1
transaction.state.log.min.isr=1

############################# 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.
			// fsync 되기전 리플리케이션을 사용하지 않는다면 잃어버릴 수 있다. 
#    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.
			// 플러시에 대한 인터벌이 길어서 누적된 데이터가 많다면 잃어버릴 수 있다.
#    3. Throughput: The flush is generally the most expensive operation, and a small flush interval may lead to excessive seeks.
			// 플러시 인터벌을 짧게 가져가면 성능에 문제가 있을 수 있다.
# 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
// 플러시를 하는 메시지 개수

# The maximum amount of time a message can sit in a log before we force a flush
#log.flush.interval.ms=1000
// 플러시 시간으로 계산

############################# 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 unless the remaining
# segments 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
// 삭제할 수 있는지 여부를 확인하기 위해 로그 세그먼트를 확인 / 기본: 5분

############################# 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=18000

############################# 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

Additional Option

  • auto.create.topics.enable

    • 토픽의 오토 크리에이션 기능 설정

    • default: true

  • compression.type

    • gzip, snappy, lz4, zstd

    • default: producer

  • delete.topic.enble

    • 토픽 삭제 활성화

    • default: true

  • message.max.bytes

    • 브로커에서 허용할 메시지 최대 크기

    • 압축 기능이 있는 경우 압축된 크기를 체크

    • default:

  • replica.lag.time.max.ms

    • follower가 leader에게 해당 시간 동안 fetch 하지 않는다면 팔로워에서 제거

    • default: 30000 (30sec)

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