Kafka Log Compaction无法启动
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我有一个主题与以下描述:
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的说法,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
要使压缩运行,您需要至少有2个段文件(一个完成,一个运行)。
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。请检查您要为要压缩的主题分区至少有2个段文件
另一答案
正如Natalia所说,我们可以通过log.segment.bytes
配置确定日志段文件的大小。
如果您不想更改log.segment.bytes
(或),您不想等到日志段达到其完整大小,您可以使用log.segment.ms
config按时间滚动日志段文件并触发压缩。
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