Kafka主题虽然配置相同,但保留率不同

vulvrdjw  于 2021-06-04  发布在  Kafka
关注(0)|答案(2)|浏览(788)

我有一个关于保留主题信息的问题。
我有以下情况:
两个Kafka主题;
经纪人有财产 log.retention.hours=1 ;
描述两个主题中每个主题的命令:

[oracleas@zkafka01vdc bin]$ ./kafka-topics.sh --zookeeper 192.168.163.71:2181 --describe --topic digital-lending
Topic:digital-lending   PartitionCount:3        ReplicationFactor:2     Configs:
        Topic: digital-lending  Partition: 0    Leader: 3       Replicas: 1,3   Isr: 3,1
        Topic: digital-lending  Partition: 1    Leader: 2       Replicas: 2,1   Isr: 1,2
        Topic: digital-lending  Partition: 2    Leader: 3       Replicas: 3,2   Isr: 3,2

[oracleas@zkafka01vdc bin]$ ./kafka-topics.sh --zookeeper 192.168.163.71:2181 --describe --topic digital-onboarding
Topic:digital-onboarding        PartitionCount:1        ReplicationFactor:1     Configs:
        Topic: digital-onboarding       Partition: 0    Leader: 1       Replicas: 1     Isr: 1

问题是:
“数字入职”主题怎么可能有1天的保留期和1周的数字借阅期(根据我的观察-尝试了几次从队列中提取所有邮件,其中一个主题的保留期为1天,另一个主题的保留期为1周)?
有没有其他的地方,它是设置除了 --describe 命令和server.properties文件?
编辑1:
server.properties文件:


# 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

# 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://10.206.23.71:9092

listeners=EXTERNAL://zkafka01vdc-pub:9092,INTERNAL://zkafka01vdc-int:9093

# 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://zkafka01vdc.bcr.wan:9092

advertised.listeners=EXTERNAL://zkafka01vdc.bcr.wan:9092,INTERNAL://zkafka01vdc-int:9093

# 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

listener.security.protocol.map=EXTERNAL:PLAINTEXT,INTERNAL:PLAINTEXT

inter.broker.listener.name=INTERNAL

# The number of threads that the server uses for receiving requests from the network and sending responses to the network

num.network.threads=3

# The number of threads that the server uses for processing requests, which may include 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=/zkafka/kafka

# 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 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=1

# 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=30000

############################# 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=zkafka01vdc-int:2181,zkafka02vdc-int:2181,zkafka03vdc-int: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
q5iwbnjs

q5iwbnjs1#

您可以运行以下命令来设置每个主题的保留配置:

bin/kafka-configs.sh \
    --zookeeper 192.168.163.71:2181 \
    --alter \
    --entity-type topics \
    --entity-name digital-onboarding \
    --add-config retention.hours=24

bin/kafka-configs.sh \
    --zookeeper 192.168.163.71:2181 \
    --alter \
    --entity-type topics \
    --entity-name digital-lengid  \
    --add-config retention.hours=168

更改后,您可以通过描述以下主题来验证配置是否有效:

bin/kafka-topics.sh \
    --zookeeper 192.168.163.71:2181 
    --describe \
    --topic digital-onboarding

新的保留策略应列在 Configs:

vxbzzdmp

vxbzzdmp2#

请记住,保留时间不是一个严格的上限,而是一个下限,让您的邮件保留在主题中。重要的是要注意,来自活动段的邮件永远不会从主题中删除,即使邮件超过了保留时间。更多细节可以在Kafka主题中找到,即使在保留时间之后
在kafka中,可以通过集群范围的设置或特定于主题的设置来设置保留时间。如果在创建主题时未指定特定于主题的值,则集群范围的设置将作为默认设置。
关于主题配置的Kafka文档中写道:
retention.ms:如果使用“删除”保留策略,此配置控制在丢弃旧日志段以释放空间之前保留日志的最长时间。这表示消费者必须多久读取数据的sla。如果设置为-1,则不应用时间限制。

Type:                       long
Default:                    604800000
Valid Values:               [-1,...]
Server Default Property:    log.retention.ms
Importance:                 medium

如果你不设定这个 log.retention.ms (或 log.retention.hours )将使用。

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