我的主题有以下描述：
Topic:test-topic PartitionCount:1 ReplicationFactor:1 Configs:min.cleanable.dirty.ratio=0.01,min.compaction.lag.ms=86400000,cleanup.policy=compact
Topic: test-topic Partition: 0 Leader: 1 Replicas: 1 Isr: 1
我的经纪人有log.cleaner.enable = true
本主题包含870778条消息，其中存在大量重复密钥（其中一些重复密钥数量达到数千条）。根据Kafka docs，Kafka应该在这些条件下部署日志压缩，并使用给定密钥修剪除最新消息之外的所有消息。如果不是几个月，这种情况在几周之后就不会发生。我在这里错过了什么来跳跃启动日志压缩？
经纪人配置：
# 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=1
############################# Socket Server Settings #############################
# The port the socket server listens on
port=<port>
# Hostname the broker will bind to. If not set, the server will bind to all interfaces
#host.name=localhost
# Hostname the broker will advertise to producers and consumers. If not set, it uses the
# value for "host.name" if configured. Otherwise, it will use the value returned from
# java.net.InetAddress.getCanonicalHostName().
#advertised.host.name=<hostname routable by clients>
# The port to publish to ZooKeeper for clients to use. If this is not set,
# it will publish the same port that the broker binds to.
#advertised.port=<port accessible by clients>
# The number of threads handling network requests
num.network.threads=8
# 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=1048576
# The receive buffer (SO_RCVBUF) used by the socket server
socket.receive.buffer.bytes=1048576
# 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=<dir-path>
# 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=30
############################# 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=20000
inter.broker.protocol.version=0.8.2.0
log.message.format.version=0.8.2.0
# The maximum amount of time a message can sit in a log before we force a flush
log.flush.interval.ms=10000
message.max.bytes=1000000
auto.create.topics.enable=false
log.index.interval.bytes=4096
log.index.size.max.bytes=10485760
log.flush.scheduler.interval.ms=2000
log.roll.hours=24
log.retention.check.interval.ms=300000
log.segment.bytes=1073741824
############################# 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
log.retention.hours=24
# 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.
#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=536870912
# The interval at which log segments are checked to see if they can be deleted according
# to the retention policies
# By default the log cleaner is disabled and the log retention policy will default to just delete segments after their retention expires.
# If log.cleaner.enable=true is set the cleaner will be enabled and individual logs can then be marked for log compaction.
log.cleaner.enable=true
default.replication.factor=3
num.replica.fetchers=4
replica.fetch.max.bytes=1048576
replica.fetch.wait.max.ms=2000
replica.high.watermark.checkpoint.interval.ms=5000
replica.socket.timeout.ms=60000
replica.socket.receive.buffer.bytes=65536
replica.lag.time.max.ms=30000
replica.lag.max.messages=12000
controller.socket.timeout.ms=60000
controller.message.queue.size=20
auto.leader.rebalance.enable=true
leader.imbalance.per.broker.percentage=5
leader.imbalance.check.interval.seconds=300
############################# 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=<connection-string>
# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=1000000
#zk.sync.time.ms=2000
kafka.metrics.reporters=com.airbnb.kafka.KafkaStatsdMetricsReporter
# enable the reporter, (false)
external.kafka.statsd.reporter.enabled=true
# the host of the StatsD server (localhost)
external.kafka.statsd.host=statsd
# the port of the StatsD server (8995)
external.kafka.statsd.port=<port>
# a prefix for all metrics names (empty)
external.kafka.statsd.metrics.prefix=<connection-string>
答案 0 :(得分：14)
要进行压缩运行，您需要至少有2个段文件（一个已完成，一个已运行）。
根据您的配置
log.segment.bytes=1073741824
log.segment.bytes=536870912
（请检查为什么你有两个相同的属性）。
你需要有一个512Mb的文件，所以kafka可以对它进行压缩。请检查您想要压缩的主题分区是否至少有2个段文件
答案 1 :(得分：3)
正如Natalia所说，我们可以log.segment.bytes配置通过大小确定日志段文件卷。
如果您不想更改log.segment.bytes（或者）不想等到日志段达到其完整大小，则可以使用log.segment.ms配置来滚动日志段按时间归档并触发压缩。
答案 2 :(得分：0)
“ Kafka应该在这种情况下部署日志压缩，并使用给定密钥修剪除最新消息以外的所有消息。”
这似乎是对Kafka的日志压缩的主要误解之一。在Log Compaction上的Kafka文档中，指出
“日志压缩可确保Kafka始终为单个主题分区的数据日志中的每个消息键至少保留至少个已知值。”
不不能保证压缩的主题中没有重复的键。如其他答案中所述，至关重要的是仔细查看数据在日志/段中的物理存储。在LogCleaner class中，您可以很好地解释 clean 和 dirty 段之间的区别：