【代码优化】IoT: Redis Stream 数据桥梁执行器
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@ -18,7 +18,7 @@ import lombok.Data;
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@JsonSubTypes({
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@JsonSubTypes.Type(value = IotDataBridgeHttpConfig.class, name = "1"),
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@JsonSubTypes.Type(value = IotDataBridgeMqttConfig.class, name = "10"),
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@JsonSubTypes.Type(value = IotDataBridgeRedisStreamMQConfig.class, name = "21"),
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@JsonSubTypes.Type(value = IotDataBridgeRedisStreamConfig.class, name = "21"),
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@JsonSubTypes.Type(value = IotDataBridgeRocketMQConfig.class, name = "30"),
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@JsonSubTypes.Type(value = IotDataBridgeRabbitMQConfig.class, name = "31"),
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@JsonSubTypes.Type(value = IotDataBridgeKafkaMQConfig.class, name = "32"),
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@ -2,14 +2,13 @@ package cn.iocoder.yudao.module.iot.controller.admin.rule.vo.databridge.config;
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import lombok.Data;
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// TODO @puhui999:MQ 可以去掉哈。stream 更精准
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/**
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* IoT Redis Stream 配置 {@link IotDataBridgeAbstractConfig} 实现类
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*
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* @author HUIHUI
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*/
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@Data
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public class IotDataBridgeRedisStreamMQConfig extends IotDataBridgeAbstractConfig {
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public class IotDataBridgeRedisStreamConfig extends IotDataBridgeAbstractConfig {
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/**
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* Redis 服务器地址
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@ -101,7 +101,7 @@ public abstract class AbstractCacheableDataBridgeExecute<Config, Producer> imple
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@Override
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@SuppressWarnings({"unchecked"})
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public void execute(IotDeviceMessage message, IotDataBridgeDO dataBridge) {
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if (ObjUtil.notEqual(message.getType(), getType())) {
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if (ObjUtil.notEqual(dataBridge.getType(), getType())) {
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return;
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}
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try {
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@ -1,12 +1,9 @@
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package cn.iocoder.yudao.module.iot.service.rule.action.databridge;
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import cn.hutool.core.util.ReflectUtil;
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import cn.hutool.core.util.StrUtil;
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import cn.iocoder.yudao.module.iot.controller.admin.rule.vo.databridge.config.IotDataBridgeRedisStreamMQConfig;
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import cn.iocoder.yudao.module.iot.controller.admin.rule.vo.databridge.config.IotDataBridgeRedisStreamConfig;
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import cn.iocoder.yudao.module.iot.enums.rule.IotDataBridgeTypeEnum;
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import cn.iocoder.yudao.module.iot.mq.message.IotDeviceMessage;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
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import lombok.extern.slf4j.Slf4j;
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import org.redisson.Redisson;
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import org.redisson.api.RedissonClient;
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@ -21,14 +18,14 @@ import org.springframework.data.redis.serializer.RedisSerializer;
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import org.springframework.stereotype.Component;
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/**
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* Redis Stream MQ 的 {@link IotDataBridgeExecute} 实现类
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* Redis Stream 的 {@link IotDataBridgeExecute} 实现类
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*
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* @author HUIHUI
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*/
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@Component
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@Slf4j
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public class IotRedisStreamMQDataBridgeExecute extends
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AbstractCacheableDataBridgeExecute<IotDataBridgeRedisStreamMQConfig, RedisTemplate<String, Object>> {
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public class IotRedisStreamDataBridgeExecute extends
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AbstractCacheableDataBridgeExecute<IotDataBridgeRedisStreamConfig, RedisTemplate<String, Object>> {
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@Override
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public Integer getType() {
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@ -36,7 +33,7 @@ public class IotRedisStreamMQDataBridgeExecute extends
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}
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@Override
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public void execute0(IotDeviceMessage message, IotDataBridgeRedisStreamMQConfig config) throws Exception {
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public void execute0(IotDeviceMessage message, IotDataBridgeRedisStreamConfig config) throws Exception {
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// 1. 获取 RedisTemplate
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RedisTemplate<String, Object> redisTemplate = getProducer(config);
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@ -48,7 +45,7 @@ public class IotRedisStreamMQDataBridgeExecute extends
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}
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@Override
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protected RedisTemplate<String, Object> initProducer(IotDataBridgeRedisStreamMQConfig config) {
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protected RedisTemplate<String, Object> initProducer(IotDataBridgeRedisStreamConfig config) {
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// 1.1 创建 Redisson 配置
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Config redissonConfig = new Config();
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SingleServerConfig serverConfig = redissonConfig.useSingleServer()
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@ -59,20 +56,17 @@ public class IotRedisStreamMQDataBridgeExecute extends
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serverConfig.setPassword(config.getPassword());
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}
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// TODO @huihui:看看能不能简化一些。按道理说,不用这么多的哈。
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// 2.1 创建 RedissonClient
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// TODO @芋艿:看看怎么优化
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// 创建 RedisTemplate 并配置
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RedissonClient redisson = Redisson.create(redissonConfig);
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// 2.2 创建并配置 RedisTemplate
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RedisTemplate<String, Object> template = new RedisTemplate<>();
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// 设置 RedisConnection 工厂。😈 它就是实现多种 Java Redis 客户端接入的秘密工厂。感兴趣的胖友,可以自己去撸下。
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template.setConnectionFactory(new RedissonConnectionFactory(redisson));
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// 使用 String 序列化方式,序列化 KEY 。
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// 设置序列化器
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template.setKeySerializer(RedisSerializer.string());
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template.setHashKeySerializer(RedisSerializer.string());
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// 使用 JSON 序列化方式(库是 Jackson ),序列化 VALUE 。
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template.setValueSerializer(buildRedisSerializer());
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template.setHashValueSerializer(buildRedisSerializer());
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template.afterPropertiesSet();// 初始化
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template.setValueSerializer(RedisSerializer.json());
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template.setHashValueSerializer(RedisSerializer.json());
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template.afterPropertiesSet();
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return template;
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}
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@ -84,13 +78,4 @@ public class IotRedisStreamMQDataBridgeExecute extends
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}
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}
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// TODO @huihui:看看能不能简化一些。按道理说,不用这么多的哈。
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public static RedisSerializer<?> buildRedisSerializer() {
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RedisSerializer<Object> json = RedisSerializer.json();
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// 解决 LocalDateTime 的序列化
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ObjectMapper objectMapper = (ObjectMapper) ReflectUtil.getFieldValue(json, "mapper");
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objectMapper.registerModules(new JavaTimeModule());
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return json;
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}
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}
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@ -92,12 +92,12 @@ public class IotDataBridgeExecuteTest extends BaseMockitoUnitTest {
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}
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@Test
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public void testRedisStreamMQDataBridge() throws Exception {
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public void testRedisStreamDataBridge() throws Exception {
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// 1. 创建执行器实例
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IotRedisStreamMQDataBridgeExecute action = new IotRedisStreamMQDataBridgeExecute();
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IotRedisStreamDataBridgeExecute action = new IotRedisStreamDataBridgeExecute();
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// 2. 创建配置
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IotDataBridgeRedisMQConfig config = new IotDataBridgeRedisMQConfig()
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IotDataBridgeRedisStreamConfig config = new IotDataBridgeRedisStreamConfig()
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.setHost("127.0.0.1")
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.setPort(6379)
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.setDatabase(0)
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@ -105,7 +105,7 @@ public class IotDataBridgeExecuteTest extends BaseMockitoUnitTest {
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.setTopic("test-stream");
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// 3. 执行测试并验证缓存
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executeAndVerifyCache(action, config, "RedisStreamMQ");
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executeAndVerifyCache(action, config, "RedisStream");
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}
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@Test
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