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springboot-starter如何整合阿里云datahub呢？

下文笔者讲述springboot整合datahub的方法分享,如下所示

Datahub简介说明

DataHub的功能：1.与大数据解决方案中Kafka具有相同的角色同时还提供数据队列功能2.DataHub还可与阿里云其它上下游产品对接其一个交换的功能，称之为数据交换

DataHub 简介

datahub对外提供开发者生产和消费的sdk在springboot中,我们也可用使用自定义starter的方式加载sdk

实现思路:1.引入相应的starter器2.application.yml中加入相应的配置信息3.编写相应的代码

引入相应的starter器

cry-starters-projectscn.com.cry.starters2022-1.0.0

启动客户端

配置阿里云DataHub的endpoint以及AK信息

aliyun:datahub:# 开启功能havingValue: true#是否为私有云isPrivate: falseaccessId: xxxaccessKey: xxxendpoint: xxx#连接DataHub客户端超时时间conn-timeout: 10000

获取DataHub客户端

DatahubClient datahubClient=DataHubTemplate.getDataHubClient();

写数据

public int write(@RequestParam("id") Integer shardId) {List datas = new ArrayList<>();for (int i = 0; i < 10; i++) {Student s = new Student();s.setAge(i);s.setName("name-" + i);s.setAddress("address-" + i);datas.add(s);}int successNumbers = DataHubTemplate.write("my_test", "student", datas, shardId);return successNumbers;
}

 上述代码说明:projectName为my_testtopicName为studentshardId 为N的hub里写数据且返回插入成功的条数

读数据

读数据开发的逻辑类似RabbitMq的starter
使用@DataHubListener和@DataHubHandler处理器注解进行使用

@Component
@DataHubListener(projectName = "my_test")
public class ReadServiceImpl {@DataHubHandler(topicName = "student", shardId = 0, cursorType = CursorTypeWrapper.LATEST)public void handler(Message message) {System.out.println("读取到shardId=0的消息");System.out.println(message.getData());System.out.println(message.getCreateTsime());System.out.println(message.getSize());System.out.println(message.getConfig());System.out.println(message.getMessageId());}
}

以上代码通过LATEST游标的方式监听 project=my_testtopicName=studentshardId=0最终使用Message的包装类获取dataHub实时写入的数据 
此处可设置多种游标类型例:根据最新的系统时间、最早录入的序号等

核心代码

需一个DataHubClient增强类
在SpringBoot启动时开启一个线程来监听对应的project-topic-shardingId
根据游标规则来读取当前的cursor进行数据的读取

public class DataHubClientWrapper implements InitializingBean, DisposableBean {@Autowiredprivate AliyunAccountProperties properties;@Autowiredprivate ApplicationContext context;private DatahubClient datahubClient;public DataHubClientWrapper() {}/*** 执行销毁方法** @throws Exception*/@Overridepublic void destroy() throws Exception {WorkerResourceExecutor.shutdown();}@Overridepublic void afterPropertiesSet() throws Exception {/*** 创建DataHubClient*/this.datahubClient = DataHubClientFactory.create(properties);/*** 打印Banner*/BannerUtil.printBanner();/*** 赋值Template的静态对象dataHubClient*/DataHubTemplate.setDataHubClient(datahubClient);/*** 初始化Worker线程*/WorkerResourceExecutor.initWorkerResource(context);/*** 启动Worker线程*/WorkerResourceExecutor.start();}
}//写数据
//构建了一个类似RedisDataTemplate的模板类
//封装了write的逻辑
//调用时只需要用DataHubTemplate.write调用public class DataHubTemplate {private static DatahubClient dataHubClient;private final static Logger logger = LoggerFactory.getLogger(DataHubTemplate.class);/*** 默认不开启重试机制** @param projectName* @param topicName* @param datas* @param shardId* @return*/public static int write(String projectName, String topicName, List datas, Integer shardId) {return write(projectName, topicName, datas, shardId, false);}/*** 往指定的projectName以及topic和shard下面写数据** @param projectName* @param topicName* @param datas* @param shardId* @param retry* @return*/private static int write(String projectName, String topicName, List datas, Integer shardId, boolean retry) {RecordSchema recordSchema = dataHubClient.getTopic(projectName, topicName).getRecordSchema();List recordEntries = new ArrayList<>();for (Object o : datas) {RecordEntry entry = new RecordEntry();Map data = BeanUtil.beanToMap(o);TupleRecordData tupleRecordData = new TupleRecordData(recordSchema);for (String key : data.keySet()) {tupleRecordData.setField(key, data.get(key));}entry.setRecordData(tupleRecordData);entry.setShardId(String.valueOf(shardId));recordEntries.add(entry);}PutRecordsResult result = dataHubClient.putRecords(projectName, topicName, recordEntries);int failedRecordCount = result.getFailedRecordCount();if (failedRecordCount > 0 && retry) {retry(dataHubClient, result.getFailedRecords(), 1, projectName, topicName);}return datas.size() - failedRecordCount;}/*** @param client* @param records* @param retryTimes* @param project* @param topic*/private static void retry(DatahubClient client, List records, int retryTimes, String project, String topic) {boolean suc = false;List failedRecords = records;while (retryTimes != 0) {logger.info("the time to send message has [{}] records failed, is starting retry", records.size());retryTimes = retryTimes - 1;PutRecordsResult result = client.putRecords(project, topic, failedRecords);int failedNum = result.getFailedRecordCount();if (failedNum > 0) {failedRecords = result.getFailedRecords();continue;}suc = true;break;}if (!suc) {logger.error("DataHub send message retry failure");}}public static DatahubClient getDataHubClient() {return dataHubClient;}public static void setDataHubClient(DatahubClient dataHubClient) {DataHubTemplate.dataHubClient = dataHubClient;}
}//读数据
//需要在Spring启动时开启一个监听线程DataListenerWorkerThread
//执行一个死循环不停轮询DataHub下的对应通道public class DataListenerWorkerThread extends Thread {private final static Logger logger = LoggerFactory.getLogger(DataListenerWorkerThread.class);private volatile boolean init = false;private DatahubConfig config;private String workerKey;private int recordLimits;private int sleep;private RecordSchema recordSchema;private RecordHandler recordHandler;private CursorHandler cursorHandler;public DataListenerWorkerThread(String projectName, String topicName, int shardId, CursorTypeWrapper cursorType, int recordLimits, int sleep, int sequenceOffset, String startTime, StringRedisTemplate redisTemplate) {this.config = new DatahubConfig(projectName, topicName, shardId);this.workerKey = projectName + "-" + topicName + "-" + shardId;this.cursorHandler = new CursorHandler(cursorType, sequenceOffset, startTime, redisTemplate, workerKey);this.recordLimits = recordLimits;this.sleep = sleep;this.setName("DataHub-Worker");this.setDaemon(true);}@Overridepublic void run() {initRecordSchema();String cursor = cursorHandler.positioningCursor(config);for (; ; ) {try {GetRecordsResult result = DataHubTemplate.getDataHubClient().getRecords(config.getProjectName(), config.getTopicName(), String.valueOf(config.getShardId()), recordSchema, cursor, recordLimits);if (result.getRecordCount() <= 0) {// 无数据，sleep后读取Thread.sleep(sleep);continue;}List> dataMap = recordHandler.convert2List(result.getRecords());logger.info("receive [{}] records from project:[{}] topic:[{}] shard:[{}]", dataMap.size(), config.getProjectName(), config.getTopicName(), config.getShardId());// 拿到下一个游标cursor = cursorHandler.nextCursor(result);//执行方法WorkerResourceExecutor.invokeMethod(workerKey, JsonUtils.toJson(dataMap), dataMap.size(), config, cursor);} catch (InvalidParameterException ex) {//非法游标或游标已过期，建议重新定位后开始消费cursor = cursorHandler.resetCursor(config);logger.error("get Cursor error and reset cursor localtion ,errorMessage:{}", ex.getErrorMessage());} catch (DatahubClientException e) {logger.error("DataHubException:{}", e.getErrorMessage());this.interrupt();} catch (InterruptedException e) {logger.info("daemon thread {}-{} interrupted", this.getName(), this.getId());} catch (Exception e) {this.interrupt();logger.error("receive DataHub records cry.exception:{}", e, e);}}}/*** 终止*/public void shutdown() {if (!interrupted()) {interrupt();}}/*** 初始化topic字段以及recordSchema*/private void initRecordSchema() {try {if (!init) {recordSchema = DataHubTemplate.getDataHubClient().getTopic(config.getProjectName(), config.getTopicName()).getRecordSchema();List fields = recordSchema.getFields();this.recordHandler = new RecordHandler(fields);init = true;}} catch (Exception e) {logger.error("initRecordSchema error:{}", e, e);}}
}//read的时候结合了注解开发
//通过定义类注解DataHubListener和方法注解DataHubHandler内置属性
//来动态的控制需要在哪些方法中处理监听到的数据的逻辑：DataHubHandler@Target(ElementType.METHOD)
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface DataHubHandler {/*** 话题名称** @return*/String topicName();/*** shardId** @return*/int shardId();/*** 最大数据量限制** @return*/int recordLimit() default 1000;/*** 游标类型** @return*/CursorTypeWrapper cursorType() default CursorTypeWrapper.LATEST;/*** 若未监听到数据添加,休眠时间 ms** @return*/int sleep() default 10000;/*** 使用CursorType.SYSTEM_TIME的时候配置 时间偏移量** @return*/String startTime() default "";/*** 使用使用CursorType.SEQUENCE的时候配置,偏移量，必须是正整数** @return*/int sequenceOffset() default 0;
}DataHubListener@Target(ElementType.TYPE)
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface DataHubListener {String projectName();
}//启动SpringBootStarter的EnableConfigurationProperties注解
//使用配置文件来控制default-bean的开启或关闭启动类
@Configuration
@EnableConfigurationProperties(value = {AliyunAccountProperties.class})
public class DataHubClientAutoConfiguration {/*** 初始化dataHub装饰bean** @return*/@Beanpublic DataHubClientWrapper dataHubWrapper() {return new DataHubClientWrapper();}}//属性配置类
@ConditionalOnProperty(prefix = "aliyun.datahub",havingValue = "true")
@Data
public class AliyunAccountProperties implements Properties{/*** http://xxx.aliyuncs.com*/private String endpoint;/*** account*/private String accessId;/*** password*/private String accessKey;/*** private cloud || public cloud*/private boolean isPrivate;/*** unit: ms*/private Integer connTimeout = 10000;
} 

最后记得要做成一个starter
在resources下新建一个META-INF文件夹
新建一个spring.factories文件

org.springframework.boot.autoconfigure.EnableAutoConfiguration= \cry.starter.datahub.DataHubClientAutoConfiguration