kafka数据自动清理失效

kafka只会回收上个分片的数据,所以

log.roll.ms

log.retention.hours

要设置成一样的


# 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


############################# 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://192.168.1.1:9092


# 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 that the server uses for receiving requests from the network and sending responses to the network

num.network.threads=6


# The number of threads that the server uses for processing requests, which may include disk I/O

num.io.threads=16


# 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=/opt/kafka_2.11-2.1.1/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  #############################

# 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

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.

#    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 excessive 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.


# 10分钟内数据没有变化即删除

log.retention.minutes=10



# 日志达到100M即删除

log.retention.bytes=104857600


# 分片大小100M,回滚时长10分钟

log.segment.bytes=104857600

# 分片时长

log.roll.ms=60000


# 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=127.0.0.1:2181


# Timeout in ms for connecting to zookeeper

zookeeper.connection.timeout.ms=6000



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

delete.topic.enable=true


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转载自blog.51cto.com/204222/2530582