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标题: 腾讯服务器单机版 kafka 3.7 安装 [打印本页]

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作者: 张国伟    时间: 2024-8-4 06:33
标题: 腾讯服务器单机版 kafka 3.7 安装
1.Kafka是什么

Kafka是Apache开源的一款基于zookeeper协调的分布式消息系统，具有高吞吐率、高性能、及时、高可靠等特点，可及时处理流式数据。它最初由LinkedIn公司开发，使用Scala语言编写。 Kafka历经数年的发展，从最初纯粹的消息引擎，到近几年开始在流处理平台生态圈发力，多个组织或公司发布了各种不同特性的产品。常见产品如下： <font color="red">**Apache Kafka** ：最“正统”的Kafka`也是开源版，它是背面其他全部发行版的底子。

1. - <font color="red">**Apache Kafka** ：最“正统”的`Kafka`也是开源版，它是后面其他所有发行版的基础</font>。
2. - Cloudera/Hortonworks Kafka ：集成了目前主流的大数据框架，能够帮助用户实现从分布式存储、集群调度、流处理到机器学习、实时数据库等全方位的数据处理。
3. - Confluent Kafka ：主要提供基于`Kafka`的企业级流处理解决方案。
5. `Apache Kafka`，它现在依然是开发人数最多、版本迭代速度最快的`Kafka`

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kafka 架构图

1.1Kafka能干嘛

特点

1. - 高吞吐量、低延迟：即使是非常普通的硬件Kafka也可以支持每秒数百万的消息，它的延迟最低只有几毫秒
3. - 持久性：支持消息持久化，即使数TB级别的消息也能够保持长时间的稳定性能。
5. - 可靠性：支持数据备份防止丢失
7. - 容错性：支持通过Kafka服务器和消费机集群来分区消息，允许集群中的节点失败（若分区副本数量为n，则允许n-1个节点失败）
8. - 高并发：单机可支持数千个客户端同时读写，支持在线水平扩展。可无缝对接hadoop、strom、spark等，支持Hadoop并行数据加载，

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Kafka下载

kafka官网https://kafka.apache.org/kafka下载https://kafka.apache.org/downloads 2. kakfa 安装

2.1 kafka 解压

1. tar  -zxvf  kafka_2.12-3.7.0.tgz
3. cd kafka_2.12-3.7.0/

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2.2 配置zookeeper.properties

1. #1.创建一个目录
2. mkdir zookeeper-data
3. #3.修改文件路径为：
4. dataDir=/opt/software/kafka/kafka_2.12-3.7.0/zookeeper-data

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完整配置

1. # Licensed to the Apache Software Foundation (ASF) under one or more
2. # contributor license agreements.  See the NOTICE file distributed with
3. # this work for additional information regarding copyright ownership.
4. # The ASF licenses this file to You under the Apache License, Version 2.0
5. # (the "License"); you may not use this file except in compliance with
6. # the License.  You may obtain a copy of the License at
7. #
8. #    http://www.apache.org/licenses/LICENSE-2.0
9. #
10. # Unless required by applicable law or agreed to in writing, software
11. # distributed under the License is distributed on an "AS IS" BASIS,
12. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13. # See the License for the specific language governing permissions and
14. # limitations under the License.
15. # the directory where the snapshot is stored.
16. dataDir=/opt/software/kafka/kafka_2.12-3.7.0/zookeeper-data
17. # the port at which the clients will connect
18. clientPort=2181
19. # disable the per-ip limit on the number of connections since this is a non-production config
20. maxClientCnxns=0
21. # Disable the adminserver by default to avoid port conflicts.
22. # Set the port to something non-conflicting if choosing to enable this
23. admin.enableServer=false
24. # admin.serverPort=8080

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2.3 配置 kafak 的 server.properties

   配置kafka_2.12-3.7.0/config下的“server.properties”：
修改log.dirs和zookeeper.connect。前者是日记存放文件夹，后者是zookeeper毗连地点（端口和clientPort保持一致）

1. 创建一个目录：
2. mkdir kafka-logs
4. 修改配置：
6. listeners=PLAINTEXT://0.0.0.0:9092
8. # Listener name, hostname and port the broker will advertise to clients.
9. # If not set, it uses the value for "listeners".
10. #advertised.listeners=PLAINTEXT://your.host.name:9092
11. advertised.listeners=PLAINTEXT://ip:9092
12. ip  为外网ip
15. #日志目录
18. log.dirs=/opt/software/kafka/kafka_2.12-3.7.0/kafka-logs
19. #zookeeper连接地址
20. zookeeper.connect=ip:2181
22. ip  为外网ip

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2.3.1 全部配置文件

1. # Licensed to the Apache Software Foundation (ASF) under one or more
2. # contributor license agreements.  See the NOTICE file distributed with
3. # this work for additional information regarding copyright ownership.
4. # The ASF licenses this file to You under the Apache License, Version 2.0
5. # (the "License"); you may not use this file except in compliance with
6. # the License.  You may obtain a copy of the License at
7. #
8. #    http://www.apache.org/licenses/LICENSE-2.0
9. #
10. # Unless required by applicable law or agreed to in writing, software
11. # distributed under the License is distributed on an "AS IS" BASIS,
12. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13. # See the License for the specific language governing permissions and
14. # limitations under the License.
16. #
17. # This configuration file is intended for use in ZK-based mode, where Apache ZooKeeper is required.
18. # See kafka.server.KafkaConfig for additional details and defaults
19. #
21. ############################# Server Basics #############################
23. # The id of the broker. This must be set to a unique integer for each broker.
24. broker.id=0
26. ############################# Socket Server Settings #############################
28. # The address the socket server listens on. If not configured, the host name will be equal to the value of
29. # java.net.InetAddress.getCanonicalHostName(), with PLAINTEXT listener name, and port 9092.
30. #   FORMAT:
31. #     listeners = listener_name://host_name:port
32. #   EXAMPLE:
33. #     listeners = PLAINTEXT://your.host.name:9092
34. #listeners=PLAINTEXT://:9092
35. listeners=PLAINTEXT://0.0.0.0:9092
37. # Listener name, hostname and port the broker will advertise to clients.
38. # If not set, it uses the value for "listeners".
39. #advertised.listeners=PLAINTEXT://your.host.name:9092
40. advertised.listeners=PLAINTEXT://ip:9092
42. # Maps listener names to security protocols, the default is for them to be the same. See the config documentation for more details
43. #listener.security.protocol.map=PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL
45. # The number of threads that the server uses for receiving requests from the network and sending responses to the network
46. num.network.threads=3
48. # The number of threads that the server uses for processing requests, which may include disk I/O
49. num.io.threads=8
51. # The send buffer (SO_SNDBUF) used by the socket server
52. socket.send.buffer.bytes=102400
54. # The receive buffer (SO_RCVBUF) used by the socket server
55. socket.receive.buffer.bytes=102400
57. # The maximum size of a request that the socket server will accept (protection against OOM)
58. socket.request.max.bytes=104857600
61. ############################# Log Basics #############################
63. # A comma separated list of directories under which to store log files
64. log.dirs=/opt/software/kafka/kafka_2.12-3.7.0/kafka-logs
66. # The default number of log partitions per topic. More partitions allow greater
67. # parallelism for consumption, but this will also result in more files across
68. # the brokers.
69. num.partitions=1
71. # The number of threads per data directory to be used for log recovery at startup and flushing at shutdown.
72. # This value is recommended to be increased for installations with data dirs located in RAID array.
73. num.recovery.threads.per.data.dir=1
75. ############################# Internal Topic Settings  #############################
76. # The replication factor for the group metadata internal topics "__consumer_offsets" and "__transaction_state"
77. # For anything other than development testing, a value greater than 1 is recommended to ensure availability such as 3.
78. offsets.topic.replication.factor=1
79. transaction.state.log.replication.factor=1
80. transaction.state.log.min.isr=1
82. ############################# Log Flush Policy #############################
84. # Messages are immediately written to the filesystem but by default we only fsync() to sync
85. # the OS cache lazily. The following configurations control the flush of data to disk.
86. # There are a few important trade-offs here:
87. #    1. Durability: Unflushed data may be lost if you are not using replication.
88. #    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.
89. #    3. Throughput: The flush is generally the most expensive operation, and a small flush interval may lead to excessive seeks.
90. # The settings below allow one to configure the flush policy to flush data after a period of time or
91. # every N messages (or both). This can be done globally and overridden on a per-topic basis.
93. # The number of messages to accept before forcing a flush of data to disk
94. #log.flush.interval.messages=10000
96. # The maximum amount of time a message can sit in a log before we force a flush
97. #log.flush.interval.ms=1000
99. ############################# Log Retention Policy #############################
101. # The following configurations control the disposal of log segments. The policy can
102. # be set to delete segments after a period of time, or after a given size has accumulated.
103. # A segment will be deleted whenever *either* of these criteria are met. Deletion always happens
104. # from the end of the log.
106. # The minimum age of a log file to be eligible for deletion due to age
107. log.retention.hours=168
109. # A size-based retention policy for logs. Segments are pruned from the log unless the remaining
110. # segments drop below log.retention.bytes. Functions independently of log.retention.hours.
111. #log.retention.bytes=1073741824
113. # The maximum size of a log segment file. When this size is reached a new log segment will be created.
114. #log.segment.bytes=1073741824
116. # The interval at which log segments are checked to see if they can be deleted according
117. # to the retention policies
118. log.retention.check.interval.ms=300000
120. ############################# Zookeeper #############################
122. # Zookeeper connection string (see zookeeper docs for details).
123. # This is a comma separated host:port pairs, each corresponding to a zk
124. # server. e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002".
125. # You can also append an optional chroot string to the urls to specify the
126. # root directory for all kafka znodes.
127. zookeeper.connect=ip:2181
129. # Timeout in ms for connecting to zookeeper
130. zookeeper.connection.timeout.ms=18000
133. ############################# Group Coordinator Settings #############################
135. # The following configuration specifies the time, in milliseconds, that the GroupCoordinator will delay the initial consumer rebalance.
136. # 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.
137. # The default value for this is 3 seconds.
138. # We override this to 0 here as it makes for a better out-of-the-box experience for development and testing.
139. # 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.
140. group.initial.rebalance.delay.ms=0

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3. 启动

3.1 zookeeper启动

1. # 后台启动zookeeper，指定启动日志
2. nohup ./bin/zookeeper-server-start.sh ./config/zookeeper.properties > ./zookeeper-run.log 2>&1 &

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3.2 后台启动kafka，指定启动日记

1. # 后台启动kafka，指定启动日志
2. nohup ./bin/kafka-server-start.sh ./config/server.properties > ./kafka-run.log 2>&1 &

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4.测试使用

4.1 创建主题：

1. bin/kafka-topics.sh --create --topic test --bootstrap-server localhost:9092 --replication-factor 1 --partitions 1

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4.2 生产消息：

1. bin/kafka-console-producer.sh --topic test --bootstrap-server localhost:9092

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4.3 消耗消息

1. bin/kafka-console-consumer.sh --topic test --bootstrap-server localhost:9092 --from-beginning

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5.克礼服务

5.1 kafka 克制

1. bin/kafka-server-stop.sh

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5.2 zookeeper 克制

1. bin/zookeeper-server-stop.sh  

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