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linux搭建,kafkao3節點虛拟機為CentOS6,ip為192.168.1.128，192.168.1.129和192.168.1.130，域名分别為master,worker1,worker2
1. 叢集
#192.168.1.128
[root@master local]# cd /home/gilbert/app/rar/
[root@master rar]# tar zxvf kafka_2.10-0.10.2.0.tgz
[root@master rar]# mv kafka_2.10-0.10.2.0 /home/gilbert/app/kafka
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配置檔案路徑：kafka/config/server.properties
修改配置檔案
[root@master config]# more server.properties
# 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.
##每一個broker在叢集中的唯一标示，要求是正數。在改變IP位址，不改變broker.id的話不會影響consumers
broker.id=0
# Switch to enable topic deletion or not, default value is false
## 是否允許自動建立topic ，若是false，就需要通過指令建立topic
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://:9092
##提供給用戶端響應的端口
port=9092
host.name=192.168.1.128
# 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://your.host.name:9092
# 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
# The number of threads handling network requests
## broker 處理消息的最大線程數，一般情況下不需要去修改
num.network.threads=3
# The number of threads doing disk I/O
## broker處理磁盤IO 的線程數 ，數值應該大于你的硬碟數
num.io.threads=8
# The send buffer (SO_SNDBUF) used by the socket server
## socket的發送緩沖區，socket的調優參數SO_SNDBUFF
socket.send.buffer.bytes=102400
# The receive buffer (SO_RCVBUF) used by the socket server
## socket的接受緩沖區，socket的調優參數SO_RCVBUFF
socket.receive.buffer.bytes=102400
# The maximum size of a request that the socket server will accept (protection against OOM)
## socket請求的最大數值，防止serverOOM，message.max.bytes必然要小于socket.request.max.bytes，會被topic建立時的指定參數覆寫
socket.request.max.bytes=104857600
############################# Log Basics #############################
# A comma seperated list of directories under which to store log files
##kafka資料的存放位址，多個位址的話用逗号分割/data/kafka-logs-1，/data/kafka-logs-2
log.dirs=/tmp/kafka-logs
# 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.
##每個topic的分區個數，若是在topic建立時候沒有指定的話會被topic建立時的指定參數覆寫
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.
##我們知道segment檔案預設會被保留7天的時間，逾時的話就
##會被清理，那麼清理這件事情就需要有一些線程來做。這裡就是
##用來設定恢複和清理data下資料的線程數量
num.recovery.threads.per.data.dir=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
##segment檔案保留的最長時間，預設保留7天（168小時），
##逾時将被删除，也就是說7天之前的資料将被清理掉。
log.retention.hours=168
# 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.
###日志檔案中每個segment的大小，預設為1G
log.segment.bytes=1073741824
# The interval at which log segments are checked to see if they can be deleted according
# to the retention policies
##上面的參數設定了每一個segment檔案的大小是1G，那麼
##就需要有一個東西去定期檢查segment檔案有沒有達到1G，
##多長時間去檢查一次，就需要設定一個周期性檢查檔案大小
##的時間（機關是毫秒）。
log.retention.check.interval.ms=300000
############################# 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=localhost:2181
##消費者叢集通過連接配接Zookeeper來找到broker。
##zookeeper連接配接伺服器位址
zookeeper.connect=master:2181,worker1:2181,worker2:2181
# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=6000 複制
啟動kafka 複制
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[root@master kafka]# ./bin/kafka-server-start.sh config/server.properties &
[2018-06-25 02:31:21,931] INFO KafkaConfig values:
advertised.host.name = null
advertised.listeners = null
advertised.port = null
authorizer.class.name =
auto.create.topics.enable = true
auto.leader.rebalance.enable = true
background.threads = 10
broker.id = 0
broker.id.generation.enable = true
broker.rack = null
compression.type = producer
connections.max.idle.ms = 600000
controlled.shutdown.enable = true
controlled.shutdown.max.retries = 3
controlled.shutdown.retry.backoff.ms = 5000
controller.socket.timeout.ms = 30000 複制
建立topic
#建立topic topic名字為gilbert
[root@master kafka]# ./bin/kafka-topics.sh --create --zookeeper master:2181,worker1:2181,worker2:2181 --replication-factor 3 --partitions 3 --topic gilbert
Created topic "gilbert". 複制
檢視topic
[root@master kafka]# ./bin/kafka-topics.sh --describe --zookeeper master:2181,worker1:2181,worker2:2181 --topic gilbert
Topic:gilbert PartitionCount:3 ReplicationFactor:3 Configs:
Topic: gilbert Partition: 0 Leader: 2 Replicas: 2,0,1 Isr: 2,0,1
Topic: gilbert Partition: 1 Leader: 0 Replicas: 0,1,2 Isr: 0,1,2
Topic: gilbert Partition: 2 Leader: 1 Replicas: 1,2,0 Isr: 1,2,0
[root@master kafka]# ./bin/kafka-topics.sh --list --zookeeper master:2181,worker1:2181,worker2:2181
gilbert
test 複制
建立producer
./bin/kafka-console-producer.sh --broker-list master:9092 -topic gilbert 複制
建立consumer，分别在3台伺服器上執行建立消費者
#192.168.1.128伺服器
[root@master kafka]# ./bin/kafka-console-consumer.sh --zookeeper master:2181,worker1:2181,worker2:2181 -topic gilbert --from-beginning
Using the ConsoleConsumer with old consumer is deprecated and will be removed in a future major release. Consider using the new consumer by passing [bootstrap-server] instead of [zookeeper].
#192.168.1.129伺服器
[root@worker1 kafka_2.10-0.10.2.0]# ./bin/kafka-console-consumer.sh --zookeeper master:2181,worker1:2181,worker2:2181 -topic gilbert --from-beginning
Using the ConsoleConsumer with old consumer is deprecated and will be removed in a future major release. Consider using the new consumer by passing [bootstrap-server] instead of [zookeeper].
#192.168.1.130伺服器
[root@worker2 kafka_2.10-0.10.2.0]# ./bin/kafka-console-consumer.sh --zookeeper master:2181,worker1:2181,worker2:2181 -topic gilbert --from-beginning
Using the ConsoleConsumer with old consumer is deprecated and will be removed in a future major release. Consider using the new consumer by passing [bootstrap-server] instead of [zookeeper].
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在#192.168.1.128伺服器上生産者控制台輸入：hello kafka進行測試
在3台伺服器上的消費者都正常接收到消息
删除topic
[root@master kafka]# ./bin/kafka-topics.sh --delete --zookeeper master:2181,worker1:2181,worker2:2181 --topic test
Topic test is marked for deletion.
Note: This will have no impact if delete.topic.enable is not set to true 複制
springboot內建kafka
1.生産者kafka-producer
a) pom檔案
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
</dependency>
<dependency>
<groupId>com.google.code.gson</groupId>
<artifactId>gson</artifactId>
<version>2.8.2</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency> 複制
b) yml配置檔案,本例為kafka3節點叢集
spring:
kafka:
bootstrap-servers: http://master:9092,http://worker1:9092,http://worker2:9092
producer:
retries: 0
batch-size: 16384
buffer-memory: 33554432
key-serializer: org.apache.kafka.common.serialization.StringSerializer
value-serializer: org.apache.kafka.common.serialization.StringSerializer 複制
c) message消息實體類
@Data
public class Message {
private Long id; //id
private String msg; //消息
private Date sendTime; //時間戳
} 複制
d) 生産者
@Component
@Slf4j
public class KafkaProducer {
@Autowired
private KafkaTemplate<String, String> kafkaTemplate;
private Gson gson = new GsonBuilder().create();
//發送消息方法
public void send() {
Message message = new Message();
message.setId(System.currentTimeMillis());
message.setMsg(UUID.randomUUID().toString());
message.setSendTime(new Date());
log.info("+++++++++++++++++++++ message = {}", gson.toJson(message));
//topic-ideal為主題
kafkaTemplate.send("topic-ideal", gson.toJson(message));
}
} 複制
e) 測試類,運作kafkaProducer方法即可
@RunWith(SpringRunner.class)
@SpringBootTest
public class KafkaProducerApplicationTests {
@Autowired
private KafkaProducer kafkaProducer;
@Test
public void kafkaProducer(){
this.kafkaProducer.send();
}
@Test
public void contextLoads() {
}
} 複制
2. 消費者kafka-consumer
a) pom檔案
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
</dependency>
<dependency>
<groupId>com.google.code.gson</groupId>
<artifactId>gson</artifactId>
<version>2.8.2</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency> 複制
b) yml配置檔案
server:
port: 9999
spring:
kafka:
bootstrap-servers: http://master:9092,http://worker1:9092,http://worker2:9092
consumer:
group-id: ideal-consumer-group
auto-offset-reset: earliest
enable-auto-commit: true
auto-commit-interval: 20000
key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
value-deserializer: org.apache.kafka.common.serialization.StringDeserializer 複制
c) 消費者類
@Component
@Slf4j
public class KafkaConsumer {
@KafkaListener(topics = {
"topic-ideal"})
public void consumer(ConsumerRecord<?, ?> record){
Optional<?> kafkaMessage = Optional.ofNullable(record.value());
if (kafkaMessage.isPresent()) {
Object message = kafkaMessage.get();
log.info("----------------- record =" + record);
log.info("------------------ message =" + message);
}
}
} 複制
運作消費者kafka-consumer，再運作kafka-producer工程測試類KafkaProducerApplicationTests中kafkaProducer()方法,可以看到消費者背景正常接收消息
釋出者：全棧程式員棧長，轉載請注明出處：https://javaforall.cn/129939.html原文連結：https://javaforall.cn