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0003.Spring内嵌Kafka Server与Hello

0003.Spring内嵌Kafka Server与Hello

作者: 笑着字太黑 | 来源:发表于2022-04-14 10:40 被阅读0次

Spring-Kafka-Test已经封装了Kafka-test提供了注解式的一键开启Kafka Server的功能.

1.搭建工程

参考:0000.Eclipse+Maven+SpringBoot+MongoDB搭建工程 - 简书 (jianshu.com)

2.目录结构
image.png
3.Hello World

3.1.pom.xml中引入spring-kafka-test

    <dependency>
      <groupId>org.springframework.kafka</groupId>
      <artifactId>spring-kafka-test</artifactId>
      <scope>test</scope>
    </dependency>

3.2.LaunchKafkaServer.java
@EmbeddedKafka启动Kafka Server
因为测试进程结束后Kafka Server就会被关闭
所以这里做了一个不会结束的进程来让Kafka Server保持生存。
右键->run as->junit test 启动

package study.kafka2;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.kafka.test.context.EmbeddedKafka;
import org.springframework.test.context.junit4.SpringRunner;

@SpringBootTest
@RunWith(SpringRunner.class)
@EmbeddedKafka(
    count = 1,
    ports = {9092}, 
    brokerPropertiesLocation = "classpath:study/kafka2/kafka-server.properties")
public class LaunchKafkaServer {

    @Test
    public void testHelloWorld() throws InterruptedException {
        while (true) {
            Thread.sleep(5000);
        }
    }
}

3.3.kafka-server.properties

############################# Server Basics #############################

# The id of the broker. This must be set to a unique integer for each broker.
broker.id=0

############################# Socket Server Settings #############################
# 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 separated list of directories under which to store log files
#log.dirs=C:\\kafka_2.13-3.1.0\\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.
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 to ensure availability such as 3.
offsets.topic.replication.factor=1
transaction.state.log.replication.factor=1
transaction.state.log.min.isr=1

############################# Log Retention Policy #############################
# The minimum age of a log file to be eligible for deletion due to age
log.retention.hours=168

# A size-based retention policy for logs. Segments are pruned from the log unless the remaining
# segments 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=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

# Timeout in ms for connecting to zookeeper
#zookeeper.connection.timeout.ms=18000


############################# 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

其他部分参考:0002.Kafka Server的安装与Spring-Kafka Helloworld - 简书 (jianshu.com)

3.4.右键App.java->run as->Java Application启动Listener

3.5.HelloWorldTest.java
右键->run as->junit test 启动

@SpringBootTest
@RunWith(SpringRunner.class)
public class HelloWorldTest {

    @Autowired
    private KafkaTemplate<Integer,String> kafkaTemplate;

    @Test
    public void testHelloWorld() throws InterruptedException {
        System.out.println("====testHelloWorld run");
        kafkaTemplate.send("topic.quick.helloWorld", "this is my first demo, Hello World!!!");
        
        // 如果在数据送达kafka服务器之前进程就结束了的话,就会造成数据丢失
        // 所以休眠5秒,让进程活着,为了使监听器有足够的时间监听到topic的数据
        Thread.sleep(5000);
    }
}
成功的话,控制台打出以下信息 image.png

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