- 导读
- 集成spring-kafka,生产者生产邮件message,消费者负责发送
- 引入线程池,多线程发送消息
- 多邮件服务器配置
- 定时任务生产消息;计划邮件发送
- 实现过程
- 导入依赖
<properties> <java.version>1.8java.version> <mysql.version>5.1.38mysql.version> <mapper.version>2.1.5mapper.version> <mybatis.version>1.3.2mybatis.version> <gson.version>2.8.2gson.version> <lang3.version>3.4lang3.version> properties> <dependencies> <dependency> <groupId>org.springframework.bootgroupId> <artifactId>spring-boot-starterartifactId> dependency> <dependency> <groupId>org.springframework.bootgroupId> <artifactId>spring-boot-starter-testartifactId> <scope>testscope> dependency> <dependency> <groupId>org.projectlombokgroupId> <artifactId>lombokartifactId> <optional>trueoptional> dependency> <dependency> <groupId>org.springframework.bootgroupId> <artifactId>spring-boot-starter-jdbcartifactId> dependency> <dependency> <groupId>org.mybatis.spring.bootgroupId> <artifactId>mybatis-spring-boot-starterartifactId> <version>${mybatis.version}version> dependency> <dependency> <groupId>mysqlgroupId> <artifactId>mysql-connector-javaartifactId> <version>${mysql.version}version> dependency> <dependency> <groupId>tk.mybatisgroupId> <artifactId>mapper-spring-boot-starterartifactId> <version>${mapper.version}version> dependency> <dependency> <groupId>org.springframework.kafkagroupId> <artifactId>spring-kafkaartifactId> dependency> <dependency> <groupId>org.springframework.bootgroupId> <artifactId>spring-boot-configuration-processorartifactId> <optional>trueoptional> dependency> <dependency> <groupId>org.springframework.bootgroupId> <artifactId>spring-boot-starter-loggingartifactId> dependency> <dependency> <groupId>org.springframework.bootgroupId> <artifactId>spring-boot-starter-mailartifactId> dependency> <dependency> <groupId>com.google.code.gsongroupId> <artifactId>gsonartifactId> <version>${gson.version}version> dependency> <dependency> <groupId>org.apache.commonsgroupId> <artifactId>commons-lang3artifactId> <version>${lang3.version}version> dependency> dependencies>
2.application.yml配置kafka、邮箱、数据库参数
本文采用的yml配置方式,若使用的properties的可使用https://www.toyaml.com/index.html这个在线工具转换;
邮箱配置,若使用的163、或者qq等,自己百度怎么申请授权码(一大堆教程);
数据库采用的Hikari连接池,号称java平台最快的;
# 配置Kafka集群IP地址,多个IP以逗号隔开:
spring:
kafka:
bootstrap-servers: 你的kafkaIP:端口号
producer:
retries: 2 #发送失败后的重复发送次数
key-serializer: org.apache.kafka.common.serialization.StringSerializer #key序列化方式
value-serializer: org.apache.kafka.common.serialization.StringSerializer #value序列化方式
compression-type: gzip #压缩格式
batch-size: 16384 #批量发送的消息数量
buffer-memory: 33554432 #32M的批处理缓冲区
consumer:
auto-offset-reset: earliest #最早未被消费的offset
enable-auto-commit: false #是否开启自动提交
#auto-commit-interval: 1000 #自动提交的时间间隔
key-deserializer: org.apache.kafka.common.serialization.StringDeserializer #key解码方式
value-deserializer: org.apache.kafka.common.serialization.StringDeserializer #value解码方式
group-id: kafka.consumer.group.id.1
max-poll-records: 50
properties:
session-timeout-ms: 20000 #连接超时时间
max-poll-interval-ms: 15000 #手动提交设置与poll的心跳数,如果消息队列中没有消息,等待毫秒后,调用poll()方法。如果队列中有消息,立即消费消息,每次消费的消息的多少可以通过max.poll.records配置。
max-partition-fetch-bytes: 15728640 #设置拉取数据的大小 15M
client-id: kafkacli
listener:
ack-mode: manual_immediate
datasource:
type: com.zaxxer.hikari.HikariDataSource
driver-class-name: com.mysql.jdbc.Driver
url: * #自己的
username: * #账号
password: * #密码
hikari:
minimum-idle: 5
# 空闲连接存活最大时间,默认600000(10分钟)
idle-timeout: 180000
# 连接池最大连接数,默认是10
maximum-pool-size: 10
# 此属性控制从池返回的连接的默认自动提交行为,默认值:true
auto-commit: true
# 连接池名称
pool-name: MyHikariCP
# 此属性控制池中连接的最长生命周期,值0表示无限生命周期,默认1800000即30分钟
max-lifetime: 1800000
# 数据库连接超时时间,默认30秒,即30000
connection-timeout: 30000
connection-test-query: SELECT 1
# 邮箱服务器配置,以163邮箱为例
mail:
host: smtp.163.com #邮箱服务器地址
port: 25 #端口
username: * #用户名
password: * #授权密码
default-encoding: UTF-8
properties:
from: * #用户名
mail:
smtp:
connectiontimeout: 5000
timeout: 3000
writetimeout: 5000
# 邮件模板
thymeleaf:
cache: false
prefix: classpath:/views/
# 邮件附件
servlet:
multipart:
max-file-size: 10MB #限制单个文件大小
max-request-size: 50MB #限制请求总量
logging:
level:
com.example: debug
pattern:
# console: %d{yyyy/MM/dd-HH:mm:ss} [%thread] %-5level %logger- %msg%n
# file: %d{yyyy/MM/dd-HH:mm} [%thread] %-5level %logger- %msg%n
path: C:\log
# 邮件失败重试次数
com:
example:
mail:
sendNumber: 3 #邮件发送失败重试次数
threadKillTime: 60 #线程超时杀死
mybatis:
type-aliases-package: com.example.mail.entity
configuration:
map-underscore-to-camel-case: true
mapper-locations: mappers/*Mapper.xml
# 异步线程配置,配置核心线程数
async:
executor:
thread:
core_pool_size: 15 #核心线程数量,线程池创建时候初始化的线程数
max_pool_size: 15 #最大线程数,只有在缓冲队列满了之后才会申请超过核心线程数的线程
queue_capacity: 99999 #缓冲队列,用来缓冲执行任务的队列
keep_alive_seconds: 60 #当超过了核心线程出之外的线程在空闲时间到达之后会被销毁
await_termination_seconds: 30 #设置线程池中任务的等待时间,如果超过这个时候还没有销毁就强制销毁,以确保应用最后能够被关闭,而不是阻塞住。
name:
prefix: async-service-
prefixson: async-service-son
3.邮件消息格式
{
"mailUid": "邮件唯一标识",
"fromName": "发件人别名",
"fromMail": "发件人地址",
"toMail": "收件人地址(多个邮箱则用逗号","隔开)",
"ccMail": "抄送人地址(多个邮箱则用逗号","隔开)",
"bccMail": "密送人地址(多个邮箱则用逗号","隔开)",
"planSendTime": "计划邮件时间",
"mailSubject": "邮件主题",
"mailContent": "邮件正文",
"sendNum": 发送次数,
"serverFlag": "邮件服务器标识(多邮件服务器用)"
}
4.kafka生产者、消费者、mail发送类等主要方法代码
//生产者
public void sendToKafkaStandardMessageAsync(MailDTO mailDTO) {
producer = new KafkaProducer(kafkaConfig.producerConfigs());
producer.send(new ProducerRecord(topicName, gson.toJson(mailDTO)), new Callback() {
@Override
public void onCompletion(RecordMetadata metadata, Exception exception) {
if (metadata != null) {
log.info("生产消息成功{},发送次数{},checksum:{},offset:{},partition:{},topic:{}", mailDTO.getMailUid(),mailDTO.getSendNum(),metadata.checksum(), metadata.offset(), metadata.partition(), metadata.topic());
}
if (exception != null) {
log.info("生产消息失败{}", exception.getMessage());
}
}
});
producer.close();
}
//消费者
/**
* 监听一个Kafka 主题
**/
@KafkaListener(topics = MQConstants.Topic.ITEM_EXCHANGE_NAME)
public void receiveMessageFromKafka(ConsumerRecord, ?> record, Acknowledgment ack) {
log.info("监听消息,MailUid:{}", gson.fromJson(String.valueOf(record.value()), MailDTO.class).getMailUid());
Optional> kafkaMessage = Optional.ofNullable(record.value());
if (kafkaMessage.isPresent()) {
sendMessageService.sendMessages(gson.fromJson(String.valueOf(record.value()), MailDTO.class));
}
ack.acknowledge();//手动提交偏移量
}
//构建复杂邮件信息类 public void sendMimeMail(MailVo mailVo) { try { MimeMessageHelper messageHelper = new MimeMessageHelper(mailSender.createMimeMessage(), true);//true表示支持复杂类型 mailVo.setFrom("这里读取配置文件中配的from地址");//邮件发信人从配置项读取 messageHelper.setFrom(mailVo.getFrom());//邮件发信人 messageHelper.setSentDate(new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").parse("2019-07-18 12:45:48")); messageHelper.setTo(mailVo.getTo().split(","));//邮件收信人 messageHelper.setSubject(mailVo.getSubject());//邮件主题 messageHelper.setText(mailVo.getText());//邮件内容 if (!StringUtils.isEmpty(mailVo.getCc())) {//抄送 messageHelper.setCc(mailVo.getCc().split(",")); } if (!StringUtils.isEmpty(mailVo.getBcc())) {//密送 messageHelper.setCc(mailVo.getBcc().split(",")); } if (mailVo.getMultipartFiles() != null) {//添加邮件附件 for (MultipartFile multipartFile : mailVo.getMultipartFiles()) { messageHelper.addAttachment(multipartFile.getOriginalFilename(), multipartFile); } } if (StringUtils.isEmpty((CharSequence) mailVo.getSentDate())) {//发送时间 mailVo.setSentDate(new Date()); messageHelper.setSentDate(mailVo.getSentDate()); } mailSender.send(messageHelper.getMimeMessage());//正式发送邮件 mailVo.setStatus("ok"); log.info("发送邮件成功:{}->{}", mailVo.getFrom(), mailVo.getTo()); } catch (Exception e) { throw new RuntimeException(e);//发送失败 } }
5.思路解析,画图吧,口述太费劲
完整代码: https://github.com/wwt729/mail.git