2

我有一个关于保留主题消息的问题。

我有以下情况:

  • 两个 Kafka 主题;
  • 经纪人有财产log.retention.hours=1

描述两个主题中的每一个的命令:

[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:

  1. 数字入职主题如何保留 1 天和数字贷款 1 周(根据我的观察 - 尝试多次从队列中获取所有消息,一个主题的保留时间为 1 天,另一个主题为 1星期)?

  2. --describe除了命令和 server.properties 文件之外,还有其他地方设置它吗?

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
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2 回答 2

0

请记住,保留时间不是硬性上限,而是您的消息留在主题中的下限。需要注意的是,来自活动段的消息永远不会从主题中删除,即使消息超过了保留时间。更多细节可以在数据中找到,即使在保留时间之后仍然保留在 kafka 主题中

在 Kafka 中,您可以通过集群范围的设置或特定主题的设置来设置保留时间。如果您在创建主题时未指定主题特定值,则集群范围设置将作为默认值。

在主题配置的 Kafka 文档中,它是这样写的:

保留.ms:如果我们使用“删除”保留策略,此配置控制我们在丢弃旧日志段以释放空间之前保留日志的最长时间。这代表了消费者必须在多长时间内读取其数据的 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

如果您不设置此项,将使用log.retention.ms(或log.retention.hours)。

于 2020-07-27T11:16:15.560 回答
0

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

新的保留政策应列在Configs:

于 2020-07-27T11:18:19.533 回答