2021.9.13,内容:this,package,import。

本文介绍了编程中this关键字的用法,包括其在属性和方法调用中的作用,以及package和import关键字的用途,展示了如何组织和引用类与包。同时涵盖了如何避免命名冲突和正确导入相关结构。

1,可以调用的结构:属性、方法;构造器。

2,this理解为:当前对象 或 当前正在创建的对象

this关键字的使用:
 * 1.this可以用来修饰:属性、方法、构造器。
 * 
 * 2.this修饰属性和方法:
 *      this理解为:当前对象
 * 
 *   在类的方法中,我们可以使用"this.属性"或"this.方法"的方式,调用当前对象属性或方法。
 *   通常情况下,我们都选择省略"this."。特殊情况下,如果方法的形参和类的属性同名时,
 *   我们必须显式的使用"this.变量"的方式,表明此变量是属性,而非形参。

3,package关键字的使用
 * 1,为了更好的实现项目中类的管理,提供包的概念
 * 2.使用package声明类或接口所属的包,声明在源文件的首行
 * 3.包,属于标识符,遵循标识符的命名规则、规范(xxx,yyy,zzz)、“见名知意”
 * 4.每“.”一次,就代表一层文件目录。
 * 
 * 补充:同一个包下,不能命名同名的接口、类。
 *          不同的包下,可以命名同名的接口、类。

4,import:导入

        1.在源文件中显式的使用import结构导入指定包下的类、接口

        2.声明在包的声明和类的声明之间

        3.如果需要导入多个结构,并列写出即可

        4.可以使用"XXX.*"的方式,表示可以导入XXX包下的所有结构

        5.如果使用的类或接口是java.lang包下定义的,则可以省略import结构

        6.如果使用的类或接口是本包下定义的,则可以省略import结构

        7.如果在源文件中,使用了不同包下的同名的类,则必须至少有一个类需要以全类名的方式显示

        8.使用"XXX.*"方式表明可以调用XXX包下的所有结构,但是如果使用的是XXX子包下的结构,则仍需要显式导入

package com.tongchuang.realtime.mds; import com.alibaba.fastjson.JSON; import com.alibaba.fastjson.JSONObject; import com.tongchuang.realtime.bean.ULEParamConfig; import com.tongchuang.realtime.util.KafkaUtils; import org.apache.flink.api.common.eventtime.WatermarkStrategy; import org.apache.flink.api.common.state.*; import org.apache.flink.api.common.time.Time; import org.apache.flink.api.common.typeinfo.BasicTypeInfo; import org.apache.flink.api.common.typeinfo.TypeHint; import org.apache.flink.api.common.typeinfo.TypeInformation; import org.apache.flink.configuration.Configuration; import org.apache.flink.connector.kafka.source.KafkaSource; import org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer; import org.apache.flink.streaming.api.datastream.*; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.api.functions.co.KeyedBroadcastProcessFunction; import org.apache.flink.streaming.api.functions.source.RichSourceFunction; import org.apache.flink.util.Collector; import org.apache.flink.util.OutputTag; import java.io.Serializable; import java.sql.*; import java.text.ParseException; import java.text.SimpleDateFormat; import java.time.Duration; import java.util.*; import java.util.Date; import java.util.concurrent.TimeUnit; public class ULEDataanomalyanalysis { public static void main(String[] args) throws Exception { final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); env.setParallelism(1); env.getConfig().setAutoWatermarkInterval(1000); // 设置水位线生成间隔 // 创建Kafka消费者 KafkaSource<String> kafkaConsumer = KafkaUtils.getKafkaConsumer( "realdata_minute", "minutedata_uledataanomalyanalysis", OffsetsInitializer.latest() ); // 修改Watermark策略为有界乱序 DataStreamSource<String> kafkaDS = env.fromSource( kafkaConsumer, WatermarkStrategy.<String>forBoundedOutOfOrderness(Duration.ofMinutes(1)) .withTimestampAssigner((event, timestamp) -> { try { JSONObject json = JSON.parseObject(event); return new SimpleDateFormat("yyyy-MM-dd HH:mm").parse(json.getString("times")).getTime(); } catch (ParseException e) { return System.currentTimeMillis(); // 使用当前时间作为回退 } }), "realdata_uledataanomalyanalysis" ); kafkaDS.print("分钟数据流"); // 解析JSON并拆分每个tag的数据 SingleOutputStreamOperator<JSONObject> splitStream = kafkaDS .map(JSON::parseObject) .returns(TypeInformation.of(JSONObject.class)) // 显式指定返回类型 .flatMap((JSONObject value, Collector<JSONObject> out) -> { JSONObject data = value.getJSONObject("datas"); String time = value.getString("times"); for (String tag : data.keySet()) { JSONObject tagData = data.getJSONObject(tag); JSONObject newObj = new JSONObject(); newObj.put("time", time); newObj.put("tag", tag); newObj.put("ontime", tagData.getDouble("ontime")); newObj.put("avg", tagData.getDouble("avg")); out.collect(newObj); } }) .returns(TypeInformation.of(JSONObject.class)) // 显式指定返回类型 .name("Split-By-Tag"); // 每5分钟加载参数配置 DataStream<ConfigCollection> configDataStream = env .addSource(new MysqlConfigSource()) .setParallelism(1) .filter(Objects::nonNull) .name("Config-Source"); // 创建标签值数据流(修复类型擦除问题) DataStream<Map<String, Object>> tagValueStream = splitStream .map(json -> { Map<String, Object> valueMap = new HashMap<>(); valueMap.put("tag", json.getString("tag")); // 根据数据类型选择合适的值 valueMap.put("value", "436887485805570949".equals(json.getString("datatype")) ? json.getDouble("ontime") : json.getDouble("avg")); return valueMap; }) .returns(new TypeHint<Map<String, Object>>() {}) // 显式指定返回类型 .name("Tag-Value-Stream"); // 合并配置流和标签值流(修复类型擦除问题) DataStream<Object> broadcastStream = configDataStream .map(config -> (Object) config) .returns(TypeInformation.of(Object.class)) // 显式指定返回类型 .union( tagValueStream.map(tagValue -> (Object) tagValue) .returns(TypeInformation.of(Object.class)) // 显式指定返回类型 ); // 广播合并流(使用两个状态描述符) BroadcastStream<Object> finalBroadcastStream = broadcastStream .broadcast(Descriptors.configStateDescriptor, Descriptors.tagValuesDescriptor); // 按tag分组并连接广播流 KeyedStream<JSONObject, String> keyedStream = splitStream .keyBy(json -> json.getString("tag")); BroadcastConnectedStream<JSONObject, Object> connectedStream = keyedStream.connect(finalBroadcastStream); // 异常检测处理 SingleOutputStreamOperator<JSONObject> anomalyStream = connectedStream .process(new OptimizedAnomalyDetectionFunction()) .name("Anomaly-Detection"); anomalyStream.print("异常检测结果"); // 获取侧输出流(离线检测结果)并打印 DataStream<String> offlineCheckStream = anomalyStream.getSideOutput(OptimizedAnomalyDetectionFunction.OFFLINE_CHECK_TAG); offlineCheckStream.print("离线检测结果"); env.execute("uledataanomalyanalysis"); } // 配置集合类 public static class ConfigCollection implements Serializable { private static final long serialVersionUID = 1L; public final Map<String, List<ULEParamConfig>> tagToConfigs; public final Map<String, ULEParamConfig> encodeToConfig; public final Set<String> allTags; public final long checkpointTime; // 配置加载的时间戳 public ConfigCollection(Map<String, List<ULEParamConfig>> tagToConfigs, Map<String, ULEParamConfig> encodeToConfig) { this.tagToConfigs = new HashMap<>(tagToConfigs); this.encodeToConfig = new HashMap<>(encodeToConfig); this.allTags = new HashSet<>(tagToConfigs.keySet()); this.checkpointTime = System.currentTimeMillis(); // 记录配置加载时间 } } // MySQL配置源 public static class MysqlConfigSource extends RichSourceFunction<ConfigCollection> { private volatile boolean isRunning = true; private final long interval = TimeUnit.MINUTES.toMillis(5); @Override public void run(SourceContext<ConfigCollection> ctx) throws Exception { while (isRunning) { ConfigCollection newConfig = loadParams(); if (newConfig != null) { ctx.collect(newConfig); System.out.println("配置加载完成,检查点时间: " + new Date(newConfig.checkpointTime)); } else { System.out.println("配置加载失败"); } Thread.sleep(interval); } } private ConfigCollection loadParams() { Map<String, List<ULEParamConfig>> tagToConfigs = new HashMap<>(5000); Map<String, ULEParamConfig> encodeToConfig = new HashMap<>(5000); String url = "jdbc:mysql://10.51.37.73:3306/eps?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8"; String user = "root"; String password = "6CKIm5jDVsLrahSw"; String query = "SELECT F_tag AS tag, F_enCode AS encode, F_dataTypes AS datatype, " + "F_isConstantValue AS constantvalue, F_isOnline AS isonline, " + "F_isSync AS issync, F_syncParaEnCode AS syncparaencode, " + "F_isZero AS iszero, F_isHigh AS ishigh, F_highThreshold AS highthreshold, " + "F_isLow AS islow, F_lowThreshold AS lowthreshold, F_duration AS duration " + "FROM t_equipmentparameter " + "WHERE F_enabledmark = &#39;1&#39; AND (F_isConstantValue =&#39;1&#39; OR F_isZero= &#39;1&#39; " + "OR F_isHigh = &#39;1&#39; OR F_isLow = &#39;1&#39; OR F_isOnline = &#39;1&#39; OR F_isSync = &#39;1&#39;)"; try (Connection conn = DriverManager.getConnection(url, user, password); Statement stmt = conn.createStatement(); ResultSet rs = stmt.executeQuery(query)) { while (rs.next()) { ULEParamConfig config = new ULEParamConfig(); config.tag = rs.getString("tag"); config.encode = rs.getString("encode"); config.datatype = rs.getString("datatype"); config.constantvalue = rs.getInt("constantvalue"); config.iszero = rs.getInt("iszero"); config.ishigh = rs.getInt("ishigh"); config.highthreshold = rs.getDouble("highthreshold"); config.islow = rs.getInt("islow"); config.lowthreshold = rs.getDouble("lowthreshold"); config.duration = rs.getLong("duration"); config.isonline = rs.getInt("isonline"); config.issync = rs.getInt("issync"); config.syncparaencode = rs.getString("syncparaencode"); // 跳过无效配置 if (config.encode == null || config.encode.isEmpty()) { System.err.println("忽略无效配置: 空encode"); continue; } String tag = config.tag; tagToConfigs.computeIfAbsent(tag, k -> new ArrayList<>(10)).add(config); encodeToConfig.put(config.encode, config); } System.out.println("加载配置: " + encodeToConfig.size() + " 个参数"); return new ConfigCollection(tagToConfigs, encodeToConfig); } catch (SQLException e) { System.err.println("加载参数配置错误:"); e.printStackTrace(); return null; } } @Override public void cancel() { isRunning = false; } } // 状态描述符 public static class Descriptors { // 配置状态描述符 public static final MapStateDescriptor<Void, ConfigCollection> configStateDescriptor = new MapStateDescriptor<>( "configState", TypeInformation.of(Void.class), TypeInformation.of(ConfigCollection.class) ); // 标签值广播状态描述符 public static final MapStateDescriptor<String, Double> tagValuesDescriptor = new MapStateDescriptor<>( "tagValuesBroadcastState", BasicTypeInfo.STRING_TYPE_INFO, BasicTypeInfo.DOUBLE_TYPE_INFO); } // 优化后的异常检测函数 public static class OptimizedAnomalyDetectionFunction extends KeyedBroadcastProcessFunction<String, JSONObject, Object, JSONObject> { // 状态管理 private transient MapState<String, AnomalyState> stateMap; // key=encode private transient MapState<String, Double> lastValuesMap; // key=tag private transient MapState<String, Long> lastDataTimeMap; // key=tag private transient ValueState<Long> lastCheckpointState; // 记录该tag上次处理的检查点时间 private transient MapState<String, Long> offlineTimerState; // 离线检测定时器状态 (修复点1) private transient SimpleDateFormat timeFormat; // 日志频率控制 private transient long lastSyncLogTime = 0; // 侧输出标签用于离线检测 public static final OutputTag<String> OFFLINE_CHECK_TAG = new OutputTag<String>("offline-check"){}; @Override public void open(Configuration parameters) { // 状态TTL配置(30天自动清理) StateTtlConfig ttlConfig = StateTtlConfig.newBuilder(Time.days(30)) .setUpdateType(StateTtlConfig.UpdateType.OnCreateAndWrite) .setStateVisibility(StateTtlConfig.StateVisibility.NeverReturnExpired) .cleanupFullSnapshot() .build(); // 初始化异常状态存储(启用TTL) MapStateDescriptor<String, AnomalyState> stateDesc = new MapStateDescriptor<>( "anomalyState", BasicTypeInfo.STRING_TYPE_INFO, TypeInformation.of(AnomalyState.class) ); stateDesc.enableTimeToLive(ttlConfig); stateMap = getRuntimeContext().getMapState(stateDesc); // 初始化最新值存储(启用TTL) MapStateDescriptor<String, Double> valuesDesc = new MapStateDescriptor<>( "lastValuesState", BasicTypeInfo.STRING_TYPE_INFO, BasicTypeInfo.DOUBLE_TYPE_INFO ); valuesDesc.enableTimeToLive(ttlConfig); lastValuesMap = getRuntimeContext().getMapState(valuesDesc); // 初始化最后数据时间存储(启用TTL) MapStateDescriptor<String, Long> timeDesc = new MapStateDescriptor<>( "lastDataTimeState", BasicTypeInfo.STRING_TYPE_INFO, BasicTypeInfo.LONG_TYPE_INFO ); timeDesc.enableTimeToLive(ttlConfig); lastDataTimeMap = getRuntimeContext().getMapState(timeDesc); // 初始化检查点状态(记录上次处理的配置时间) ValueStateDescriptor<Long> checkpointDesc = new ValueStateDescriptor<>( "lastCheckpointState", BasicTypeInfo.LONG_TYPE_INFO ); checkpointDesc.enableTimeToLive(ttlConfig); lastCheckpointState = getRuntimeContext().getState(checkpointDesc); // 初始化离线检测定时器状态 (修复点1) MapStateDescriptor<String, Long> timerDesc = new MapStateDescriptor<>( "offlineTimerState", BasicTypeInfo.STRING_TYPE_INFO, BasicTypeInfo.LONG_TYPE_INFO ); timerDesc.enableTimeToLive(ttlConfig); offlineTimerState = getRuntimeContext().getMapState(timerDesc); timeFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm"); } @Override public void processElement(JSONObject data, ReadOnlyContext ctx, Collector<JSONObject> out) throws Exception { String tag = ctx.getCurrentKey(); String timeStr = data.getString("time"); long eventTime = timeFormat.parse(timeStr).getTime(); // 更新最后数据时间 lastDataTimeMap.put(tag, eventTime); // 获取广播配置 ConfigCollection configCollection = getBroadcastConfig(ctx); if (configCollection == null) { return; } List<ULEParamConfig> configs = configCollection.tagToConfigs.get(tag); if (configs == null || configs.isEmpty()) { return; } // 清理无效状态 List<String> keysToRemove = new ArrayList<>(); for (String encode : stateMap.keys()) { boolean found = false; for (ULEParamConfig cfg : configs) { if (cfg.encode.equals(encode)) { found = true; break; } } if (!found) { System.out.println("清理过期状态: " + encode); keysToRemove.add(encode); } } for (String encode : keysToRemove) { stateMap.remove(encode); } double value = 0; boolean valueSet = false; // 检查该tag是否需要离线检测 (修复点2) boolean hasOnlineConfig = false; long minDuration = Long.MAX_VALUE; for (ULEParamConfig config : configs) { if (config.isonline == 1) { hasOnlineConfig = true; minDuration = Math.min(minDuration, config.duration); } } // 管理离线检测定时器 (修复点3) if (hasOnlineConfig) { // 删除现有定时器 Long currentTimer = offlineTimerState.get(tag); if (currentTimer != null) { ctx.timerService().deleteEventTimeTimer(currentTimer); } // 注册新定时器(使用最小duration) long offlineTimeout = eventTime + minDuration * 60 * 1000; ctx.timerService().registerEventTimeTimer(offlineTimeout); offlineTimerState.put(tag, offlineTimeout); // 重置离线状态(数据到达表示恢复) for (ULEParamConfig config : configs) { if (config.isonline == 1) { AnomalyState state = getOrCreateState(config.encode); AnomalyStatus status = state.getStatus(6); if (status.reported) { // 数据恢复,发送恢复事件 reportAnomaly(6, 0, 0.0, timeStr, config, out); status.reset(); stateMap.put(config.encode, state); } } } } // 遍历配置项进行异常检测 for (ULEParamConfig config : configs) { if (!valueSet) { value = "436887485805570949".equals(config.datatype) ? data.getDouble("ontime") : data.getDouble("avg"); lastValuesMap.put(tag, value); valueSet = true; } // 获取或初始化状态 AnomalyState state = getOrCreateState(config.encode); // 处理异常类型 checkConstantValueAnomaly(config, value, timeStr, state, out); // 1. 恒值检测 checkZeroValueAnomaly(config, value, timeStr, state, out); // 2. 零值检测 checkThresholdAnomaly(config, value, timeStr, state, out); // 3. 上阈值, 4. 下阈值 checkSyncAnomaly(config, value, timeStr, state, configCollection, ctx, out); // 5. 同步检测 // 保存状态 stateMap.put(config.encode, state); } } @Override public void onTimer(long timestamp, OnTimerContext ctx, Collector<JSONObject> out) throws Exception { String tag = ctx.getCurrentKey(); Long lastEventTime = lastDataTimeMap.get(tag); // 获取配置 ConfigCollection configCollection = getBroadcastConfig(ctx); if (configCollection == null) return; List<ULEParamConfig> configs = configCollection.tagToConfigs.get(tag); if (configs == null) return; // 检查所有需要离线检测的配置项 (修复点4) boolean hasOnlineConfig = false; for (ULEParamConfig config : configs) { if (config.isonline == 1) { hasOnlineConfig = true; AnomalyState state = getOrCreateState(config.encode); AnomalyStatus status = state.getStatus(6); // 6表示离线异常 // 检查是否超时 if (lastEventTime != null && (timestamp - lastEventTime) >= config.duration * 60 * 1000) { if (!status.reported) { String triggerTime = timeFormat.format(new Date(timestamp)); reportAnomaly(6, 1, 0.0, triggerTime, config, out); status.reported = true; // 输出到侧输出流 ctx.output(OFFLINE_CHECK_TAG, String.format("离线异常: tag=%s, encode=%s, 最后数据时间=%s, 超时时间=%s", config.tag, config.encode, lastEventTime != null ? timeFormat.format(new Date(lastEventTime)) : "N/A", triggerTime)); } } else { // 数据已恢复,重置状态 if (status.reported) { reportAnomaly(6, 0, 0.0, timeFormat.format(new Date()), config, out); status.reset(); } } stateMap.put(config.encode, state); } } // 重新注册定时器(如果tag仍然存在)(修复点5) if (hasOnlineConfig) { long newTimeout = timestamp + TimeUnit.MINUTES.toMillis(1); // 每分钟检查一次 ctx.timerService().registerEventTimeTimer(newTimeout); offlineTimerState.put(tag, newTimeout); } else { offlineTimerState.remove(tag); } } // 恒值检测 - 异常类型1 private void checkConstantValueAnomaly(ULEParamConfig config, double currentValue, String timeStr, AnomalyState state, Collector<JSONObject> out) { if (config.constantvalue != 1) return; try { AnomalyStatus status = state.getStatus(1); long durationThreshold = config.duration * 60 * 1000; Date timestamp = timeFormat.parse(timeStr); if (status.lastValue == null) { status.lastValue = currentValue; status.lastChangeTime = timestamp; return; } if (Math.abs(currentValue - status.lastValue) > 0.001) { status.lastValue = currentValue; status.lastChangeTime = timestamp; if (status.reported) { reportAnomaly(1, 0, currentValue, timeStr, config, out); } status.reset(); return; } long elapsed = timestamp.getTime() - status.lastChangeTime.getTime(); if (elapsed > durationThreshold) { if (!status.reported) { reportAnomaly(1, 1, currentValue, timeStr, config, out); status.reported = true; } } } catch (Exception e) { System.err.println("恒值检测错误: " + config.encode + " - " + e.getMessage()); } } // 零值检测 - 异常类型2 private void checkZeroValueAnomaly(ULEParamConfig config, double currentValue, String timeStr, AnomalyState state, Collector<JSONObject> out) { if (config.iszero != 1) return; try { AnomalyStatus status = state.getStatus(2); Date timestamp = timeFormat.parse(timeStr); boolean isZero = Math.abs(currentValue) < 0.001; if (isZero) { if (status.startTime == null) { status.startTime = timestamp; } else if (!status.reported) { long elapsed = timestamp.getTime() - status.startTime.getTime(); if (elapsed >= config.duration * 60 * 1000) { reportAnomaly(2, 1, currentValue, timeStr, config, out); status.reported = true; } } } else { if (status.reported) { reportAnomaly(2, 0, currentValue, timeStr, config, out); status.reset(); } else if (status.startTime != null) { status.startTime = null; } } } catch (Exception e) { System.err.println("零值检测错误:极速版 " + config.encode + " - " + e.getMessage()); } } // 阈值检测 - 异常类型3(上阈值)和4(下阈值) private void checkThresholdAnomaly(ULEParamConfig config, double currentValue, String timeStr, AnomalyState state, Collector<JSONObject> out) { try { if (config.ishigh == 1) { AnomalyStatus highStatus = state.getStatus(3); processThresholdAnomaly(highStatus, currentValue, timeStr, currentValue > config.highthreshold, config, 3, out); } if (config.islow == 1) { AnomalyStatus lowStatus = state.getStatus(4); processThresholdAnomaly(lowStatus, currentValue, timeStr, currentValue < config.lowthreshold, config, 4, out); } } catch (Exception e) { System.err.println("阈值检测错误: " + config.encode + " - " + e.getMessage()); } } private void processThresholdAnomaly(AnomalyStatus status, double currentValue, String timeStr, boolean isAnomaly, ULEParamConfig config, int anomalyType, Collector<JSONObject> out) { try { Date timestamp = timeFormat.parse(timeStr); if (isAnomaly) { if (status.startTime == null) { status.startTime = timestamp; } else if (!status.reported) { long elapsed = timestamp.getTime() - status.startTime.getTime(); if (elapsed >= config.duration * 60 * 1000) { reportAnomaly(anomalyType, 1, currentValue, timeStr, config, out); status.reported = true; } } } else { if (status.reported) { reportAnomaly(anomalyType, 0, currentValue, timeStr, config, out); status.reset(); } else if (status.startTime != null) { status.startTime = null; } } } catch (Exception e) { System.err.println("阈值处理错误: " + config.encode + " - " + e.getMessage()); } } // 同步检测 - 异常类型5 private void checkSyncAnomaly(ULEParamConfig config, double currentValue, String timeStr, AnomalyState state, ConfigCollection configCollection, ReadOnlyContext ctx, Collector<JSONObject> out) { if (config.issync != 1 || config.syncparaencode == null || config.syncparaencode.isEmpty()) { return; } try { // 1. 通过encode获取关联配置 ULEParamConfig relatedConfig = configCollection.encodeToConfig.get(config.syncparaencode); if (relatedConfig == null) { if (System.currentTimeMillis() - lastSyncLogTime > 60000) { System.out.println("同步检测: 未找到关联配置, encode=" + config.syncparaencode); lastSyncLogTime = System.currentTimeMillis(); } return; } // 2. 获取关联配置的tag String relatedTag = relatedConfig.tag; if (relatedTag == null || relatedTag.isEmpty()) { if (System.currentTimeMillis() - lastSyncLogTime > 60000) { System.out.println("同步检测: 关联配置没有tag, encode=" + config.syncparaencode); lastSyncLogTime = System.currentTimeMillis(); } return; } // 3. 从广播状态获取关联值 ReadOnlyBroadcastState<String, Double> tagValuesState = ctx.getBroadcastState(Descriptors.tagValuesDescriptor); Double relatedValue = tagValuesState.get(relatedTag); if (relatedValue == null) { if (System.currentTimeMillis() - lastSyncLogTime > 60000) { System.out.println("同步检测: 关联值未初始化, tag=" + relatedTag); lastSyncLogTime = System.currentTimeMillis(); } return; } // 4. 同步检测逻辑 AnomalyStatus status = state.getStatus(5); Date timestamp = timeFormat.parse(timeStr); // 根据业务需求调整同步异常判断逻辑 boolean isAnomaly = (currentValue >= 0.99) && (Math.abs(relatedValue) < 0.01); // 记录调试信息 if (System.currentTimeMillis() - lastSyncLogTime > 60000) { System.out.printf("同步检测: %s (%.4f) vs %s (%.4f) -> %b%n", config.tag, currentValue, relatedTag, relatedValue, isAnomaly); lastSyncLogTime = System.currentTimeMillis(); } // 5. 处理异常状态 if (isAnomaly) { if (status.startTime == null) { status.startTime = timestamp; } else if (!status.reported) { long elapsed = timestamp.getTime() - status.startTime.getTime(); if (elapsed >= config.duration * 60 * 1000) { reportAnomaly(5, 1, currentValue, timeStr, config, out); status.reported = true; } } } else { if (status.reported) { reportAnomaly(5, 0, currentValue, timeStr, config, out); status.reset(); } else if (status.startTime != null) { status.startTime = null; } } } catch (ParseException e) { System.err.println("同步检测时间解析错误: " + config.encode + " - " + e.getMessage()); } catch (Exception e) { System.err.println("同步检测错误: " + config.encode + " - " + e.getMessage()); } } // 报告异常 private void reportAnomaly(int anomalyType, int statusFlag, double value, String time, ULEParamConfig config, Collector<JSONObject> out) { JSONObject event = new JSONObject(); event.put("tag", config.tag); event.put("paracode", config.encode); event.put("abnormaltype", anomalyType); event.put("statusflag", statusFlag); event.put("datavalue", value); event.put("triggertime", time); out.collect(event); } @Override public void processBroadcastElement(Object broadcastElement, Context ctx, Collector<JSONObject> out) throws Exception { // 处理配置更新 if (broadcastElement instanceof ConfigCollection) { ConfigCollection newConfig = (ConfigCollection) broadcastElement; BroadcastState<Void, ConfigCollection> configState = ctx.getBroadcastState(Descriptors.configStateDescriptor); // 获取旧配置 ConfigCollection oldConfig = configState.get(null); // 处理配置变更:清理不再启用的报警 if (oldConfig != null) { for (Map.Entry<String, ULEParamConfig> entry : oldConfig.encodeToConfig.entrySet()) { String encode = entry.getKey(); ULEParamConfig oldCfg = entry.getValue(); // 检查配置是否被删除或禁用 ULEParamConfig newCfg = newConfig.encodeToConfig.get(encode); if (newCfg == null || !isAlarmEnabled(newCfg, oldCfg)) { // 发送恢复事件 sendRecoveryEvents(encode, oldCfg, ctx, out); } } } // 更新广播状态 configState.put(null, newConfig); System.out.println("广播配置更新完成, 配置项: " + newConfig.encodeToConfig.size()); } // 处理标签值更新 else if (broadcastElement instanceof Map) { @SuppressWarnings("unchecked") Map<String, Object> tagValue = (Map<String, Object>) broadcastElement; String tag = (String) tagValue.get("tag"); Double value = (Double) tagValue.get("value"); if (tag != null && value != null) { BroadcastState<String, Double> tagValuesState = ctx.getBroadcastState(Descriptors.tagValuesDescriptor); tagValuesState.put(tag, value); // System.out.println("更新标签值: " + tag + " = " + value); } } } // 检查报警是否启用 private boolean isAlarmEnabled(ULEParamConfig newCfg, ULEParamConfig oldCfg) { // 检查所有报警类型是否被禁用 return (oldCfg.constantvalue == 1 && newCfg.constantvalue == 1) || (oldCfg.iszero == 1 && newCfg.iszero == 1) || (oldCfg.ishigh == 1 && newCfg.ishigh == 1) || (oldCfg.islow == 1 && newCfg.islow == 1) || (oldCfg.isonline == 1 && newCfg.isonline == 1) || (oldCfg.issync == 1 && newCfg.issync == 1); } // 发送恢复事件 private void sendRecoveryEvents(String encode, ULEParamConfig config, Context ctx, Collector<JSONObject> out) { try { AnomalyState state = stateMap.get(encode); if (state == null) return; // 遍历所有可能的报警类型 for (int type = 1; type <= 6; type++) { // 包括1-6所有异常类型 AnomalyStatus status = state.getStatus(type); if (status.reported) { JSONObject recoveryEvent = new JSONObject(); recoveryEvent.put("tag", config.tag); recoveryEvent.put("paracode", config.encode); recoveryEvent.put("abnormaltype", type); recoveryEvent.put("statusflag", 0); // 恢复事件 recoveryEvent.put("datavalue", 0.0); recoveryEvent.put("triggertime", timeFormat.format(new Date())); out.collect(recoveryEvent); status.reset(); } } // 更新状态 stateMap.put(encode, state); } catch (Exception e) { System.err.println("发送恢复事件失败: " + e.getMessage()); } } // 辅助方法 private ConfigCollection getBroadcastConfig(ReadOnlyContext ctx) throws Exception { return ctx.getBroadcastState(Descriptors.configStateDescriptor).get(null); } private AnomalyState getOrCreateState(String encode) throws Exception { AnomalyState state = stateMap.get(encode); if (state == null) { state = new AnomalyState(); } return state; } } // 异常状态类 public static class AnomalyState implements Serializable { private static final long serialVersionUID = 1L; private final Map<Integer, AnomalyStatus> statusMap = new HashMap<>(); public AnomalyStatus getStatus(int type) { return statusMap.computeIfAbsent(type, k -> new AnomalyStatus()); } } // 异常状态详情 public static class AnomalyStatus implements Serializable { private static final long serialVersionUID = 1L; public Date startTime; // 异常开始时间 public Double lastValue; // 用于恒值检测 public Date lastChangeTime; // 值最后变化时间 public boolean reported; // 是否已报告 public void reset() { startTime = null; lastValue = null; lastChangeTime = null; reported = false; } } } 运行的日志为:"C:\Program Files (x86)\Java\jdk1.8.0_102\bin\java.exe" -agentlib:jdwp=transport=dt_socket,address=127.0.0.1:7630,suspend=y,server=n -javaagent:C:\Users\Administrator\AppData\Local\JetBrains\IntelliJIdea2021.2\captureAgent\debugger-agent.jar -Dfile.encoding=UTF-8 -classpath C:\Users\Administrator\AppData\Local\Temp\classpath1753622630.jar com.tongchuang.realtime.mds.ULEDataanomalyanalysis 已连接到目标 VM, 地址: &#39;&#39;127.0.0.1:7630&#39;,传输: &#39;套接字&#39;&#39; SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/F:/flink/flinkmaven/repository/org/apache/logging/log4j/log4j-slf4j-impl/2.10.0/log4j-slf4j-impl-2.10.0.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/F:/flink/flinkmaven/repository/org/slf4j/slf4j-log4j12/1.7.25/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory] 加载配置: 30 个参数 配置加载完成,检查点时间: Mon Aug 04 16:21:14 CST 2025 广播配置更新完成, 配置项: 30 分钟数据流> {"times":"2025-08-04 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同步检测: DA-DB195-RH-B-0201 (1.0000) vs DA-NY-LG1ZL-2-001 (0.0000) -> true 分钟数据流> {"times":"2025-08-04 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异常检测结果> {"abnormaltype":2,"paracode":"EP000022","datavalue":0.0,"tag":"DA-NY-LG1ZL-2-001","triggertime":"2025-08-04 16:22","statusflag":1} 异常检测结果> {"abnormaltype":4,"paracode":"EP000022","datavalue":0.0,"tag":"DA-NY-LG1ZL-2-001","triggertime":"2025-08-04 16:22","statusflag":1} 异常检测结果> {"abnormaltype":4,"paracode":"EP000001","datavalue":1.0,"tag":"DA-DB195-RH-B-0201","triggertime":"2025-08-04 16:22","statusflag":1} 异常检测结果> {"abnormaltype":5,"paracode":"EP000001","datavalue":1.0,"tag":"DA-DB195-RH-B-0201","triggertime":"2025-08-04 16:22","statusflag":1} 分钟数据流> {"times":"2025-08-04 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异常检测结果> {"abnormaltype":1,"paracode":"EP000022","datavalue":0.0,"tag":"DA-NY-LG1ZL-2-001","triggertime":"2025-08-04 16:23","statusflag":1} 异常检测结果> {"abnormaltype":1,"paracode":"EP000001","datavalue":1.0,"tag":"DA-DB195-RH-B-0201","triggertime":"2025-08-04 16:23","statusflag":1} 同步检测: DA-DB195-RH-B-0201 (1.0000) vs DA-NY-LG1ZL-2-001 (0.0000) -> true 分钟数据流> {"times":"2025-08-04 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同步检测: DA-DB195-RH-B-0201 (1.0000) vs DA-NY-LG1ZL-2-001 (0.0000) -> true 加载配置: 30 个参数 配置加载完成,检查点时间: Mon Aug 04 16:26:15 CST 2025 广播配置更新完成, 配置项: 30 分钟数据流> {"times":"2025-08-04 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