首先来看看我们可靠性投递的流程图
image流程的示意图如上所示,比如我下单成功了,这时进行 step1,对我的业务数据进行入库,业务数据入库完毕(这里要特别注意一定要保证业务数据入库)再对要发送的消息进行入库,图中采用了两个数据库,可以根据实际业务场景来确定是否采用两个数据库,如果采用了两个数据库,有人可能就像到了采用分布式事务来保证数据的一致性,但是在大型互联网中,基本很少采用事务,都是采用补偿机制。
对业务数据和消息入库完毕就进入 setp2,发送消息到 MQ 服务上,按照正常的流程就是消费者监听到该消息,就根据唯一 id 修改该消息的状态为已消费,并给一个确认应答 ack 到 Listener。如果出现意外情况,消费者未接收到或者 Listener 接收确认时发生网络闪断,接收不到,这时候就需要用到我们的分布式定时任务来从 msg 数据库抓取那些超时了还未被消费的消息,重新发送一遍。重试机制里面要设置重试次数限制,因为一些外部的原因导致一直发送失败的,不能重试太多次,要不然会拖垮整个服务。例如重试三次还是失败的,就把消息的 status 设置成 发送失败,然后通过补偿机制,人工去处理。实际生产中,这种情况还是比较少的,但是你不能没有这个补偿机制,要不然就做不到可靠性了。
这一小节,我们介绍项目的基本搭建
先来看看项目依赖
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.0.2.RELEASE</version>
<relativePath/>
</parent>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<java.version>1.8</java.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>com.rabbitmq</groupId>
<artifactId>amqp-client</artifactId>
<version>3.6.5</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-amqp</artifactId>
</dependency>
<!-- 添加JDBC jar -->
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>1.1.1</version>
</dependency>
<dependency>
<groupId>tk.mybatis</groupId>
<artifactId>mapper-spring-boot-starter</artifactId>
<version>1.1.0</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.0.24</version>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
</dependency>
<!-- mybatis分页插件 -->
<dependency>
<groupId>com.github.pagehelper</groupId>
<artifactId>pagehelper-spring-boot-starter</artifactId>
<version>1.2.5</version>
</dependency>
<dependency>
<groupId>com.github.miemiedev</groupId>
<artifactId>mybatis-paginator</artifactId>
<version>1.2.17</version>
<exclusions>
<exclusion>
<groupId>org.mybatis</groupId>
<artifactId>mybatis</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
<version>3.7</version>
</dependency>
<dependency>
<groupId>commons-io</groupId>
<artifactId>commons-io</artifactId>
<version>2.4</version>
</dependency>
<dependency>
<groupId>org.codehaus.jackson</groupId>
<artifactId>jackson-mapper-asl</artifactId>
<version>1.9.13</version>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>20.0</version>
</dependency>
<dependency>
<groupId>commons-collections</groupId>
<artifactId>commons-collections</artifactId>
<version>3.2.1</version>
</dependency>
<dependency>
<groupId>javax.servlet</groupId>
<artifactId>javax.servlet-api</artifactId>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.17</version>
</dependency>
<dependency>
<groupId>com.hmily.dubbo</groupId>
<artifactId>common</artifactId>
<version>0.0.1-SNAPSHOT</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-amqp</artifactId>
</dependency>
</dependencies>
来看看包结构
image
然后就是 application.properties 的配置
server.port=8030
server.servlet.context-path=/
spring.http.encoding.charset=UTF-8
spring.jackson.date-format=yyyy-MM-dd HH:mm:ss
spring.jackson.time-zone=GMT+8
spring.jackson.default-property-inclusion=NON_NULL
db.driverLocation=G:/test/MySQL/mysql-connector-java-5.1.6-bin.jar
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.url=jdbc:mysql://130.67.151.179:3306/rabbitmq_common?characterEncoding=UTF-8&autoReconnect=true&zeroDateTimeBehavior=convertToNull&useUnicode=true
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.username=root
spring.datasource.password=admin
mybatis.type-aliases-package=com.hmily.rabbitmq.rabbitmqcommon
mybatis.mapper-locations=classpath:mapping/*.xml
logging.level.tk.mybatis=TRACE
########################## server setting for LongID Gene ####################################
snowFlake.workerId = 1
snowFlake.datacenterId = 1
# Dubbo Config properties
dubbo.application.id=rabbitmq-common
dubbo.application.name=rabbitmq-common
dubbo.application.qosPort=22212
dubbo.application.qosEnable=true
dubbo.scan.basePackages=com.hmily.rabbitmq.rabbitmqcommon.*
dubbo.protocol.id=dubbo
dubbo.protocol.name=dubbo
dubbo.protocol.port=12343
dubbo.registry.id=rabbitmq-common-registry
dubbo.registry.address=zookeeper://130.67.151.179:2181
# Enables Dubbo All Endpoints
management.endpoint.dubbo.enabled = true
management.endpoint.dubbo-shutdown.enabled = true
management.endpoint.dubbo-configs.enabled = true
management.endpoint.dubbo-services.enabled = true
management.endpoint.dubbo-references.enabled = true
management.endpoint.dubbo-properties.enabled = true
# Dubbo Health
## StatusChecker Name defaults (default : "memory", "load" )
management.health.dubbo.status.defaults = memory
## StatusChecker Name extras (default : empty )
management.health.dubbo.status.extras = load,threadpool
spring.rabbitmq.addresses=130.67.151.179:5672
spring.rabbitmq.username=guest
spring.rabbitmq.password=guest
spring.rabbitmq.virtual-host=/
spring.rabbitmq.connection-timeout=15000
spring.rabbitmq.publisher-confirms=true
spring.rabbitmq.publisher-returns=true
spring.rabbitmq.template.mandatory=true
snowFlakeServiceApi.version=1.0.0
order.rabbitmq.listener.order.queue.name=order-create
order.rabbitmq.listener.order.queue.durable=true
order.rabbitmq.listener.order.exchange.name=order
order.rabbitmq.listener.order.exchange.durable=true
order.rabbitmq.listener.order.exchange.type=topic
order.rabbitmq.listener.order.exchange.ignoreDeclarationExceptions=true
order.rabbitmq.listener.order.key=order.*
order.rabbitmq.send.create.key=order.create
druid.properties 的配置如下:
##下面为连接池的补充设置,应用到上面所有数据源中
#初始化大小,最小,最大
druid.initialSize=5
druid.minIdle=10
druid.maxActive=300
#配置获取连接等待超时的时间
druid.maxWait=60000
#配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒
druid.timeBetweenEvictionRunsMillis=60000
#配置一个连接在池中最小生存的时间,单位是毫秒
druid.minEvictableIdleTimeMillis=300000
druid.validationQuery=SELECT 1 FROM DUAL
druid.testWhileIdle=true
druid.testOnBorrow=false
druid.testOnReturn=false
#打开PSCache,并且指定每个连接上PSCache的大小
druid.poolPreparedStatements=true
druid.maxPoolPreparedStatementPerConnectionSize=20
#配置监控统计拦截的filters,去掉后监控界面sql无法统计,'wall'用于防火墙
druid.filters=stat,wall,log4j
#通过connectProperties属性来打开mergeSql功能;慢SQL记录
druid.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
#合并多个DruidDataSource的监控数据
druid.useGlobalDataSourceStat=true
再展开看配置包里面的结构
image
先看看主配置文件
@Configuration
@MapperScan(basePackages = "com.hmily.rabbitmq.rabbitmqcommon.mapper")
@ComponentScan(basePackages = {"com.hmily.rabbitmq.rabbitmqcommon.*", "com.hmily.rabbitmq.rabbitmqcommon.config.*"})
public class MainConfig {
}
接着是从配置文件 druid.properties 获取 DruidDataSource 的信息
@Component
@ConfigurationProperties(prefix="spring.datasource")
@PropertySource("classpath:druid.properties")
public class DruidDataSourceSettings {
private String driverClassName;
private String url;
private String username;
private String password;
@Value("${druid.initialSize}")
private int initialSize;
@Value("${druid.minIdle}")
private int minIdle;
@Value("${druid.maxActive}")
private int maxActive;
@Value("${druid.timeBetweenEvictionRunsMillis}")
private long timeBetweenEvictionRunsMillis;
@Value("${druid.minEvictableIdleTimeMillis}")
private long minEvictableIdleTimeMillis;
@Value("${druid.validationQuery}")
private String validationQuery;
@Value("${druid.testWhileIdle}")
private boolean testWhileIdle;
@Value("${druid.testOnBorrow}")
private boolean testOnBorrow;
@Value("${druid.testOnReturn}")
private boolean testOnReturn;
@Value("${druid.poolPreparedStatements}")
private boolean poolPreparedStatements;
@Value("${druid.maxPoolPreparedStatementPerConnectionSize}")
private int maxPoolPreparedStatementPerConnectionSize;
@Value("${druid.filters}")
private String filters;
@Value("${druid.connectionProperties}")
private String connectionProperties;
@Bean
public static PropertySourcesPlaceholderConfigurer properdtyConfigure(){
return new PropertySourcesPlaceholderConfigurer();
}
public String getDriverClassName() {
return driverClassName;
}
public void setDriverClassName(String driverClassName) {
this.driverClassName = driverClassName;
}
public String getUrl() {
return url;
}
public void setUrl(String url) {
this.url = url;
}
public String getUsername() {
return username;
}
public void setUsername(String username) {
this.username = username;
}
public String getPassword() {
return password;
}
public void setPassword(String password) {
this.password = password;
}
public int getInitialSize() {
return initialSize;
}
public void setInitialSize(int initialSize) {
this.initialSize = initialSize;
}
public int getMinIdle() {
return minIdle;
}
public void setMinIdle(int minIdle) {
this.minIdle = minIdle;
}
public int getMaxActive() {
return maxActive;
}
public void setMaxActive(int maxActive) {
this.maxActive = maxActive;
}
public long getTimeBetweenEvictionRunsMillis() {
return timeBetweenEvictionRunsMillis;
}
public void setTimeBetweenEvictionRunsMillis(long timeBetweenEvictionRunsMillis) {
this.timeBetweenEvictionRunsMillis = timeBetweenEvictionRunsMillis;
}
public long getMinEvictableIdleTimeMillis() {
return minEvictableIdleTimeMillis;
}
public void setMinEvictableIdleTimeMillis(long minEvictableIdleTimeMillis) {
this.minEvictableIdleTimeMillis = minEvictableIdleTimeMillis;
}
public String getValidationQuery() {
return validationQuery;
}
public void setValidationQuery(String validationQuery) {
this.validationQuery = validationQuery;
}
public boolean isTestWhileIdle() {
return testWhileIdle;
}
public void setTestWhileIdle(boolean testWhileIdle) {
this.testWhileIdle = testWhileIdle;
}
public boolean isTestOnBorrow() {
return testOnBorrow;
}
public void setTestOnBorrow(boolean testOnBorrow) {
this.testOnBorrow = testOnBorrow;
}
public boolean isTestOnReturn() {
return testOnReturn;
}
public void setTestOnReturn(boolean testOnReturn) {
this.testOnReturn = testOnReturn;
}
public boolean isPoolPreparedStatements() {
return poolPreparedStatements;
}
public void setPoolPreparedStatements(boolean poolPreparedStatements) {
this.poolPreparedStatements = poolPreparedStatements;
}
public int getMaxPoolPreparedStatementPerConnectionSize() {
return maxPoolPreparedStatementPerConnectionSize;
}
public void setMaxPoolPreparedStatementPerConnectionSize(
int maxPoolPreparedStatementPerConnectionSize) {
this.maxPoolPreparedStatementPerConnectionSize = maxPoolPreparedStatementPerConnectionSize;
}
public String getFilters() {
return filters;
}
public void setFilters(String filters) {
this.filters = filters;
}
public String getConnectionProperties() {
return connectionProperties;
}
public void setConnectionProperties(String connectionProperties) {
this.connectionProperties = connectionProperties;
}
}
再到 DruidDataSource 的配置
@Configuration
@EnableTransactionManagement
public class DruidDataSourceConfig {
private static Logger logger = LoggerFactory.getLogger(DruidDataSourceConfig.class);
@Autowired
private DruidDataSourceSettings druidSettings;
public static String DRIVER_CLASSNAME ;
@Bean
public static PropertySourcesPlaceholderConfigurer propertyConfigure(){
return new PropertySourcesPlaceholderConfigurer();
}
@Bean
public ServletRegistrationBean druidServlet() {
ServletRegistrationBean reg = new ServletRegistrationBean();
reg.setServlet(new StatViewServlet());
// reg.setAsyncSupported(true);
reg.addUrlMappings("/druid/*");
reg.addInitParameter("allow", "localhost");
reg.addInitParameter("deny","/deny");
// reg.addInitParameter("loginUsername", "bhz");
// reg.addInitParameter("loginPassword", "bhz");
logger.info(" druid console manager init : {} ", reg);
return reg;
}
@Bean
public FilterRegistrationBean filterRegistrationBean() {
FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean();
filterRegistrationBean.setFilter(new WebStatFilter());
filterRegistrationBean.addUrlPatterns("/*");
filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico, /druid/*");
logger.info(" druid filter register : {} ", filterRegistrationBean);
return filterRegistrationBean;
}
@Bean
public DataSource dataSource() throws SQLException {
DruidDataSource ds = new DruidDataSource();
ds.setDriverClassName(druidSettings.getDriverClassName());
DRIVER_CLASSNAME = druidSettings.getDriverClassName();
ds.setUrl(druidSettings.getUrl());
ds.setUsername(druidSettings.getUsername());
ds.setPassword(druidSettings.getPassword());
ds.setInitialSize(druidSettings.getInitialSize());
ds.setMinIdle(druidSettings.getMinIdle());
// ds.setMaxIdle(druidSettings.getMaxIdle());
ds.setMaxActive(druidSettings.getMaxActive());
ds.setTimeBetweenEvictionRunsMillis(druidSettings.getTimeBetweenEvictionRunsMillis());
ds.setMinEvictableIdleTimeMillis(druidSettings.getMinEvictableIdleTimeMillis());
ds.setValidationQuery(druidSettings.getValidationQuery());
ds.setTestWhileIdle(druidSettings.isTestWhileIdle());
ds.setTestOnBorrow(druidSettings.isTestOnBorrow());
ds.setTestOnReturn(druidSettings.isTestOnReturn());
ds.setPoolPreparedStatements(druidSettings.isPoolPreparedStatements());
ds.setMaxPoolPreparedStatementPerConnectionSize(druidSettings.getMaxPoolPreparedStatementPerConnectionSize());
ds.setFilters(druidSettings.getFilters());
ds.setConnectionProperties(druidSettings.getConnectionProperties());
//proxyFilters ===> 有问题
// WallFilter wallFilter = new WallFilter();
// WallConfig wallConfig = new WallConfig();
// wallConfig.setMultiStatementAllow(true);
// wallFilter.setConfig(wallConfig);
// List<Filter> wallFilterList = new ArrayList<Filter>();
// wallFilterList.add(wallFilter);
// ds.setProxyFilters(wallFilterList);
logger.info(" druid datasource config : {} ", ds);
return ds;
}
@Bean
public PlatformTransactionManager transactionManager() throws Exception {
DataSourceTransactionManager txManager = new DataSourceTransactionManager();
txManager.setDataSource(dataSource());
return txManager;
}
}
再接着就是 mybatis 的配置
@Configuration
@AutoConfigureAfter(MybatisDataSourceConfig.class)
public class MybatisMapperScanerConfig {
@Bean
public MapperScannerConfigurer mapperScannerConfigurer() {
MapperScannerConfigurer mapperScannerConfigurer = new MapperScannerConfigurer();
mapperScannerConfigurer.setSqlSessionFactoryBeanName("sqlSessionFactory");
mapperScannerConfigurer.setBasePackage("com.hmily.rabbitmq.rabbitmqcommon.mapper");
return mapperScannerConfigurer;
}
}
@Configuration
public class MybatisDataSourceConfig {
@Autowired
private DataSource dataSource;
@Bean(name="sqlSessionFactory")
public SqlSessionFactory sqlSessionFactoryBean() {
SqlSessionFactoryBean bean = new SqlSessionFactoryBean();
bean.setDataSource(dataSource);
// 添加XML目录
ResourcePatternResolver resolver = new PathMatchingResourcePatternResolver();
try {
// 如果是刚开始搭建项目时,mapping 底下没有 xml 就要注释掉这里,要不然会报错
bean.setMapperLocations(resolver.getResources("classpath:mapping/*.xml"));
SqlSessionFactory sqlSessionFactory = bean.getObject();
sqlSessionFactory.getConfiguration().setCacheEnabled(Boolean.TRUE);
return sqlSessionFactory;
} catch (Exception e) {
throw new RuntimeException(e);
}
}
@Bean
public SqlSessionTemplate sqlSessionTemplate(SqlSessionFactory sqlSessionFactory) {
return new SqlSessionTemplate(sqlSessionFactory);
}
}
public interface BaseMapper<T> extends Mapper<T>, MySqlMapper<T> {
}
最后是我们的定时任务 task 配置
@Configuration
@EnableScheduling
public class TaskSchedulerConfig implements SchedulingConfigurer {
@Override
public void configureTasks(ScheduledTaskRegistrar taskRegistrar) {
taskRegistrar.setScheduler(taskScheduler());
}
@Bean(destroyMethod="shutdown")
public Executor taskScheduler(){
return Executors.newScheduledThreadPool(100);
}
}
就这样,启动项目,运行不报错,写个简单接口调用一下不报错,我们的项目就搭建好了。
完整代码:
https://github.com/hmilyos/common.git
https://github.com/hmilyos/snowFlakeDemo.git
https://github.com/hmilyos/rabbitmq-common.git available 分支
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