前言

Java业务自动巡检作为企业级应用运维的核心能力之一,直接影响着业务的稳定性和用户体验。通过智能的巡检策略,完善的异常检测机制,能够及时发现业务异常,预防潜在问题,保障企业级应用的高可用性。本文从巡检策略设计到异常检测,从基础原理到企业级实践,系统梳理Java业务自动巡检的完整解决方案。

一、业务自动巡检架构设计

1.1 巡检系统整体架构

1.2 巡检核心组件

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/**
* 业务自动巡检核心组件
*/
@Component
public class BusinessInspectionEngine {

@Autowired
private InspectionTaskScheduler taskScheduler;

@Autowired
private InspectionExecutor executor;

@Autowired
private ExceptionDetector exceptionDetector;

@Autowired
private AlertNotifier alertNotifier;

@Autowired
private InspectionResultStorage resultStorage;

/**
* 启动巡检引擎
*/
public void startInspectionEngine() {
try {
// 1. 初始化巡检任务
initializeInspectionTasks();

// 2. 启动任务调度器
taskScheduler.startScheduler();

// 3. 启动巡检执行器
executor.startExecutor();

// 4. 启动异常检测器
exceptionDetector.startDetector();

log.info("业务巡检引擎启动成功");

} catch (Exception e) {
log.error("业务巡检引擎启动失败", e);
throw new InspectionEngineException("巡检引擎启动失败", e);
}
}

/**
* 停止巡检引擎
*/
public void stopInspectionEngine() {
try {
// 1. 停止异常检测器
exceptionDetector.stopDetector();

// 2. 停止巡检执行器
executor.stopExecutor();

// 3. 停止任务调度器
taskScheduler.stopScheduler();

log.info("业务巡检引擎停止成功");

} catch (Exception e) {
log.error("业务巡检引擎停止失败", e);
}
}

/**
* 初始化巡检任务
*/
private void initializeInspectionTasks() {
// 1. 加载巡检配置
List<InspectionConfig> configs = loadInspectionConfigs();

// 2. 创建巡检任务
for (InspectionConfig config : configs) {
InspectionTask task = createInspectionTask(config);
taskScheduler.scheduleTask(task);
}

log.info("初始化巡检任务完成,任务数量: {}", configs.size());
}

/**
* 创建巡检任务
*/
private InspectionTask createInspectionTask(InspectionConfig config) {
InspectionTask task = new InspectionTask();
task.setTaskId(config.getTaskId());
task.setTaskName(config.getTaskName());
task.setTaskType(config.getTaskType());
task.setCronExpression(config.getCronExpression());
task.setCheckPoints(config.getCheckPoints());
task.setEnabled(config.isEnabled());

return task;
}

/**
* 加载巡检配置
*/
private List<InspectionConfig> loadInspectionConfigs() {
// 实现配置加载逻辑
return new ArrayList<>();
}
}

二、巡检任务调度与执行

2.1 巡检任务调度器

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/**
* 巡检任务调度器
*/
@Component
public class InspectionTaskScheduler {

private final ScheduledExecutorService scheduler;
private final Map<String, ScheduledFuture<?>> scheduledTasks;
private final Map<String, InspectionTask> taskMap;

public InspectionTaskScheduler() {
this.scheduler = Executors.newScheduledThreadPool(10);
this.scheduledTasks = new ConcurrentHashMap<>();
this.taskMap = new ConcurrentHashMap<>();
}

/**
* 启动调度器
*/
public void startScheduler() {
log.info("巡检任务调度器启动");
}

/**
* 停止调度器
*/
public void stopScheduler() {
try {
// 取消所有任务
scheduledTasks.values().forEach(future -> future.cancel(true));
scheduledTasks.clear();

// 关闭调度器
scheduler.shutdown();
if (!scheduler.awaitTermination(30, TimeUnit.SECONDS)) {
scheduler.shutdownNow();
}

log.info("巡检任务调度器停止");

} catch (Exception e) {
log.error("巡检任务调度器停止失败", e);
}
}

/**
* 调度巡检任务
*/
public void scheduleTask(InspectionTask task) {
try {
if (!task.isEnabled()) {
log.info("任务已禁用,跳过调度: {}", task.getTaskName());
return;
}

// 解析Cron表达式
CronExpression cronExpression = new CronExpression(task.getCronExpression());

// 计算下次执行时间
Date nextExecutionTime = cronExpression.getNextValidTimeAfter(new Date());

if (nextExecutionTime == null) {
log.warn("无法计算下次执行时间: {}", task.getTaskName());
return;
}

// 计算延迟时间
long delay = nextExecutionTime.getTime() - System.currentTimeMillis();

// 调度任务
ScheduledFuture<?> future = scheduler.scheduleAtFixedRate(
() -> executeInspectionTask(task),
delay,
calculatePeriod(task.getCronExpression()),
TimeUnit.MILLISECONDS
);

// 记录调度信息
scheduledTasks.put(task.getTaskId(), future);
taskMap.put(task.getTaskId(), task);

log.info("巡检任务调度成功: {}, 下次执行时间: {}",
task.getTaskName(), nextExecutionTime);

} catch (Exception e) {
log.error("巡检任务调度失败: {}", task.getTaskName(), e);
}
}

/**
* 执行巡检任务
*/
private void executeInspectionTask(InspectionTask task) {
try {
log.info("开始执行巡检任务: {}", task.getTaskName());

// 创建巡检上下文
InspectionContext context = createInspectionContext(task);

// 执行巡检
InspectionResult result = executeInspection(context);

// 处理巡检结果
handleInspectionResult(result);

log.info("巡检任务执行完成: {}", task.getTaskName());

} catch (Exception e) {
log.error("巡检任务执行失败: {}", task.getTaskName(), e);
}
}

/**
* 创建巡检上下文
*/
private InspectionContext createInspectionContext(InspectionTask task) {
InspectionContext context = new InspectionContext();
context.setTaskId(task.getTaskId());
context.setTaskName(task.getTaskName());
context.setTaskType(task.getTaskType());
context.setStartTime(System.currentTimeMillis());
context.setCheckPoints(task.getCheckPoints());

return context;
}

/**
* 执行巡检
*/
private InspectionResult executeInspection(InspectionContext context) {
InspectionResult result = new InspectionResult();
result.setTaskId(context.getTaskId());
result.setTaskName(context.getTaskName());
result.setStartTime(context.getStartTime());

List<CheckPointResult> checkPointResults = new ArrayList<>();

// 执行各个检查点
for (CheckPoint checkPoint : context.getCheckPoints()) {
try {
CheckPointResult checkPointResult = executeCheckPoint(checkPoint);
checkPointResults.add(checkPointResult);

} catch (Exception e) {
log.error("检查点执行失败: {}", checkPoint.getName(), e);

CheckPointResult errorResult = new CheckPointResult();
errorResult.setCheckPointName(checkPoint.getName());
errorResult.setStatus(CheckPointStatus.FAILED);
errorResult.setErrorMessage(e.getMessage());
checkPointResults.add(errorResult);
}
}

result.setCheckPointResults(checkPointResults);
result.setEndTime(System.currentTimeMillis());
result.setDuration(result.getEndTime() - result.getStartTime());

return result;
}

/**
* 执行检查点
*/
private CheckPointResult executeCheckPoint(CheckPoint checkPoint) {
CheckPointResult result = new CheckPointResult();
result.setCheckPointName(checkPoint.getName());
result.setStartTime(System.currentTimeMillis());

try {
// 根据检查点类型执行不同的检查逻辑
switch (checkPoint.getType()) {
case DATA_CHECK:
result = executeDataCheck(checkPoint);
break;
case INTERFACE_CHECK:
result = executeInterfaceCheck(checkPoint);
break;
case PERFORMANCE_CHECK:
result = executePerformanceCheck(checkPoint);
break;
case BUSINESS_LOGIC_CHECK:
result = executeBusinessLogicCheck(checkPoint);
break;
default:
throw new UnsupportedOperationException("不支持的检查点类型: " + checkPoint.getType());
}

} catch (Exception e) {
result.setStatus(CheckPointStatus.FAILED);
result.setErrorMessage(e.getMessage());
}

result.setEndTime(System.currentTimeMillis());
result.setDuration(result.getEndTime() - result.getStartTime());

return result;
}

/**
* 计算执行周期
*/
private long calculatePeriod(String cronExpression) {
try {
CronExpression cron = new CronExpression(cronExpression);
Date now = new Date();
Date next1 = cron.getNextValidTimeAfter(now);
Date next2 = cron.getNextValidTimeAfter(next1);

return next2.getTime() - next1.getTime();

} catch (Exception e) {
log.error("计算执行周期失败", e);
return 60000; // 默认1分钟
}
}
}

2.2 检查点执行器

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/**
* 检查点执行器
*/
@Component
public class CheckPointExecutor {

@Autowired
private DataCheckExecutor dataCheckExecutor;

@Autowired
private InterfaceCheckExecutor interfaceCheckExecutor;

@Autowired
private PerformanceCheckExecutor performanceCheckExecutor;

@Autowired
private BusinessLogicCheckExecutor businessLogicCheckExecutor;

/**
* 执行数据检查
*/
public CheckPointResult executeDataCheck(CheckPoint checkPoint) {
return dataCheckExecutor.execute(checkPoint);
}

/**
* 执行接口检查
*/
public CheckPointResult executeInterfaceCheck(CheckPoint checkPoint) {
return interfaceCheckExecutor.execute(checkPoint);
}

/**
* 执行性能检查
*/
public CheckPointResult executePerformanceCheck(CheckPoint checkPoint) {
return performanceCheckExecutor.execute(checkPoint);
}

/**
* 执行业务逻辑检查
*/
public CheckPointResult executeBusinessLogicCheck(CheckPoint checkPoint) {
return businessLogicCheckExecutor.execute(checkPoint);
}
}

2.3 数据检查执行器

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/**
* 数据检查执行器
*/
@Component
public class DataCheckExecutor {

@Autowired
private DataSource dataSource;

@Autowired
private DataValidator dataValidator;

/**
* 执行数据检查
*/
public CheckPointResult execute(CheckPoint checkPoint) {
CheckPointResult result = new CheckPointResult();
result.setCheckPointName(checkPoint.getName());
result.setStartTime(System.currentTimeMillis());

try {
// 1. 解析检查配置
DataCheckConfig config = parseDataCheckConfig(checkPoint.getConfig());

// 2. 执行数据查询
List<Map<String, Object>> data = executeDataQuery(config);

// 3. 执行数据验证
ValidationResult validationResult = dataValidator.validate(data, config.getValidationRules());

// 4. 设置检查结果
if (validationResult.isValid()) {
result.setStatus(CheckPointStatus.PASSED);
result.setMessage("数据检查通过");
} else {
result.setStatus(CheckPointStatus.FAILED);
result.setMessage("数据检查失败: " + validationResult.getErrorMessage());
result.setErrorDetails(validationResult.getErrorDetails());
}

// 5. 记录检查数据
result.setCheckData(data);

} catch (Exception e) {
result.setStatus(CheckPointStatus.FAILED);
result.setErrorMessage("数据检查异常: " + e.getMessage());
log.error("数据检查执行失败: {}", checkPoint.getName(), e);
}

result.setEndTime(System.currentTimeMillis());
result.setDuration(result.getEndTime() - result.getStartTime());

return result;
}

/**
* 解析数据检查配置
*/
private DataCheckConfig parseDataCheckConfig(String configJson) {
try {
ObjectMapper mapper = new ObjectMapper();
return mapper.readValue(configJson, DataCheckConfig.class);
} catch (Exception e) {
throw new ConfigurationException("数据检查配置解析失败", e);
}
}

/**
* 执行数据查询
*/
private List<Map<String, Object>> executeDataQuery(DataCheckConfig config) {
try {
String sql = config.getSql();
List<Object> parameters = config.getParameters();

if (parameters == null || parameters.isEmpty()) {
return dataSource.queryForList(sql);
} else {
return dataSource.queryForList(sql, parameters.toArray());
}

} catch (Exception e) {
throw new DataQueryException("数据查询失败", e);
}
}

/**
* 数据检查配置类
*/
public static class DataCheckConfig {
private String sql;
private List<Object> parameters;
private List<ValidationRule> validationRules;

// getter和setter方法
public String getSql() {
return sql;
}

public void setSql(String sql) {
this.sql = sql;
}

public List<Object> getParameters() {
return parameters;
}

public void setParameters(List<Object> parameters) {
this.parameters = parameters;
}

public List<ValidationRule> getValidationRules() {
return validationRules;
}

public void setValidationRules(List<ValidationRule> validationRules) {
this.validationRules = validationRules;
}
}
}

2.4 接口检查执行器

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/**
* 接口检查执行器
*/
@Component
public class InterfaceCheckExecutor {

@Autowired
private RestTemplate restTemplate;

@Autowired
private InterfaceValidator interfaceValidator;

/**
* 执行接口检查
*/
public CheckPointResult execute(CheckPoint checkPoint) {
CheckPointResult result = new CheckPointResult();
result.setCheckPointName(checkPoint.getName());
result.setStartTime(System.currentTimeMillis());

try {
// 1. 解析接口检查配置
InterfaceCheckConfig config = parseInterfaceCheckConfig(checkPoint.getConfig());

// 2. 执行接口调用
InterfaceResponse response = executeInterfaceCall(config);

// 3. 验证接口响应
ValidationResult validationResult = interfaceValidator.validate(response, config.getValidationRules());

// 4. 设置检查结果
if (validationResult.isValid()) {
result.setStatus(CheckPointStatus.PASSED);
result.setMessage("接口检查通过");
} else {
result.setStatus(CheckPointStatus.FAILED);
result.setMessage("接口检查失败: " + validationResult.getErrorMessage());
result.setErrorDetails(validationResult.getErrorDetails());
}

// 5. 记录响应数据
result.setResponseData(response);

} catch (Exception e) {
result.setStatus(CheckPointStatus.FAILED);
result.setErrorMessage("接口检查异常: " + e.getMessage());
log.error("接口检查执行失败: {}", checkPoint.getName(), e);
}

result.setEndTime(System.currentTimeMillis());
result.setDuration(result.getEndTime() - result.getStartTime());

return result;
}

/**
* 解析接口检查配置
*/
private InterfaceCheckConfig parseInterfaceCheckConfig(String configJson) {
try {
ObjectMapper mapper = new ObjectMapper();
return mapper.readValue(configJson, InterfaceCheckConfig.class);
} catch (Exception e) {
throw new ConfigurationException("接口检查配置解析失败", e);
}
}

/**
* 执行接口调用
*/
private InterfaceResponse executeInterfaceCall(InterfaceCheckConfig config) {
try {
String url = config.getUrl();
HttpMethod method = config.getMethod();
Map<String, String> headers = config.getHeaders();
Object requestBody = config.getRequestBody();
int timeout = config.getTimeout();

// 设置请求头
HttpHeaders httpHeaders = new HttpHeaders();
if (headers != null) {
headers.forEach(httpHeaders::set);
}

// 创建请求实体
HttpEntity<?> requestEntity = new HttpEntity<>(requestBody, httpHeaders);

// 设置超时
restTemplate.getRequestFactory().setConnectTimeout(timeout);
restTemplate.getRequestFactory().setReadTimeout(timeout);

// 执行请求
ResponseEntity<String> responseEntity = restTemplate.exchange(
url, method, requestEntity, String.class
);

// 构建响应对象
InterfaceResponse response = new InterfaceResponse();
response.setStatusCode(responseEntity.getStatusCodeValue());
response.setHeaders(responseEntity.getHeaders().toSingleValueMap());
response.setBody(responseEntity.getBody());
response.setResponseTime(System.currentTimeMillis());

return response;

} catch (Exception e) {
throw new InterfaceCallException("接口调用失败", e);
}
}

/**
* 接口检查配置类
*/
public static class InterfaceCheckConfig {
private String url;
private HttpMethod method;
private Map<String, String> headers;
private Object requestBody;
private int timeout;
private List<ValidationRule> validationRules;

// getter和setter方法
public String getUrl() {
return url;
}

public void setUrl(String url) {
this.url = url;
}

public HttpMethod getMethod() {
return method;
}

public void setMethod(HttpMethod method) {
this.method = method;
}

public Map<String, String> getHeaders() {
return headers;
}

public void setHeaders(Map<String, String> headers) {
this.headers = headers;
}

public Object getRequestBody() {
return requestBody;
}

public void setRequestBody(Object requestBody) {
this.requestBody = requestBody;
}

public int getTimeout() {
return timeout;
}

public void setTimeout(int timeout) {
this.timeout = timeout;
}

public List<ValidationRule> getValidationRules() {
return validationRules;
}

public void setValidationRules(List<ValidationRule> validationRules) {
this.validationRules = validationRules;
}
}
}

三、异常检测与告警

3.1 异常检测器

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/**
* 异常检测器
*/
@Component
public class ExceptionDetector {

@Autowired
private InspectionResultAnalyzer resultAnalyzer;

@Autowired
private ExceptionClassifier exceptionClassifier;

@Autowired
private AlertRuleEngine alertRuleEngine;

private final ScheduledExecutorService detectorScheduler;

public ExceptionDetector() {
this.detectorScheduler = Executors.newScheduledThreadPool(5);
}

/**
* 启动异常检测器
*/
public void startDetector() {
// 启动定期检测任务
detectorScheduler.scheduleAtFixedRate(
this::detectExceptions,
0,
30,
TimeUnit.SECONDS
);

log.info("异常检测器启动成功");
}

/**
* 停止异常检测器
*/
public void stopDetector() {
try {
detectorScheduler.shutdown();
if (!detectorScheduler.awaitTermination(30, TimeUnit.SECONDS)) {
detectorScheduler.shutdownNow();
}

log.info("异常检测器停止成功");

} catch (Exception e) {
log.error("异常检测器停止失败", e);
}
}

/**
* 检测异常
*/
private void detectExceptions() {
try {
// 1. 获取最近的巡检结果
List<InspectionResult> recentResults = getRecentInspectionResults();

// 2. 分析巡检结果
List<ExceptionDetection> detections = resultAnalyzer.analyzeResults(recentResults);

// 3. 分类异常
for (ExceptionDetection detection : detections) {
ExceptionType type = exceptionClassifier.classify(detection);
detection.setExceptionType(type);
}

// 4. 检查告警规则
for (ExceptionDetection detection : detections) {
List<AlertRule> triggeredRules = alertRuleEngine.checkRules(detection);

if (!triggeredRules.isEmpty()) {
// 触发告警
triggerAlerts(detection, triggeredRules);
}
}

} catch (Exception e) {
log.error("异常检测失败", e);
}
}

/**
* 获取最近的巡检结果
*/
private List<InspectionResult> getRecentInspectionResults() {
// 实现获取最近巡检结果的逻辑
return new ArrayList<>();
}

/**
* 触发告警
*/
private void triggerAlerts(ExceptionDetection detection, List<AlertRule> triggeredRules) {
try {
for (AlertRule rule : triggeredRules) {
Alert alert = createAlert(detection, rule);
sendAlert(alert);
}

} catch (Exception e) {
log.error("告警触发失败", e);
}
}

/**
* 创建告警
*/
private Alert createAlert(ExceptionDetection detection, AlertRule rule) {
Alert alert = new Alert();
alert.setAlertId(generateAlertId());
alert.setAlertType(rule.getAlertType());
alert.setSeverity(rule.getSeverity());
alert.setTitle(rule.getTitle());
alert.setMessage(buildAlertMessage(detection, rule));
alert.setDetection(detection);
alert.setRule(rule);
alert.setTimestamp(System.currentTimeMillis());

return alert;
}

/**
* 发送告警
*/
private void sendAlert(Alert alert) {
// 实现告警发送逻辑
log.warn("发送告警: {}", alert.getTitle());
}

/**
* 生成告警ID
*/
private String generateAlertId() {
return "alert-" + System.currentTimeMillis() + "-" + Thread.currentThread().getId();
}

/**
* 构建告警消息
*/
private String buildAlertMessage(ExceptionDetection detection, AlertRule rule) {
StringBuilder message = new StringBuilder();
message.append("检测到异常: ").append(detection.getDescription()).append("\n");
message.append("异常类型: ").append(detection.getExceptionType()).append("\n");
message.append("检查点: ").append(detection.getCheckPointName()).append("\n");
message.append("检测时间: ").append(new Date(detection.getTimestamp())).append("\n");
message.append("告警规则: ").append(rule.getName());

return message.toString();
}
}

3.2 巡检结果分析器

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/**
* 巡检结果分析器
*/
@Component
public class InspectionResultAnalyzer {

@Autowired
private InspectionResultStorage resultStorage;

@Autowired
private TrendAnalyzer trendAnalyzer;

/**
* 分析巡检结果
*/
public List<ExceptionDetection> analyzeResults(List<InspectionResult> results) {
List<ExceptionDetection> detections = new ArrayList<>();

try {
// 1. 分析单个结果
for (InspectionResult result : results) {
List<ExceptionDetection> resultDetections = analyzeSingleResult(result);
detections.addAll(resultDetections);
}

// 2. 分析趋势
List<ExceptionDetection> trendDetections = analyzeTrends(results);
detections.addAll(trendDetections);

// 3. 分析模式
List<ExceptionDetection> patternDetections = analyzePatterns(results);
detections.addAll(patternDetections);

} catch (Exception e) {
log.error("巡检结果分析失败", e);
}

return detections;
}

/**
* 分析单个结果
*/
private List<ExceptionDetection> analyzeSingleResult(InspectionResult result) {
List<ExceptionDetection> detections = new ArrayList<>();

// 分析失败的检查点
for (CheckPointResult checkPointResult : result.getCheckPointResults()) {
if (checkPointResult.getStatus() == CheckPointStatus.FAILED) {
ExceptionDetection detection = new ExceptionDetection();
detection.setDetectionId(generateDetectionId());
detection.setTaskId(result.getTaskId());
detection.setTaskName(result.getTaskName());
detection.setCheckPointName(checkPointResult.getCheckPointName());
detection.setDescription(checkPointResult.getErrorMessage());
detection.setSeverity(calculateSeverity(checkPointResult));
detection.setTimestamp(result.getStartTime());
detection.setDetectionType(DetectionType.SINGLE_FAILURE);

detections.add(detection);
}
}

return detections;
}

/**
* 分析趋势
*/
private List<ExceptionDetection> analyzeTrends(List<InspectionResult> results) {
List<ExceptionDetection> detections = new ArrayList<>();

try {
// 按任务分组
Map<String, List<InspectionResult>> groupedResults = results.stream()
.collect(Collectors.groupingBy(InspectionResult::getTaskId));

for (Map.Entry<String, List<InspectionResult>> entry : groupedResults.entrySet()) {
String taskId = entry.getKey();
List<InspectionResult> taskResults = entry.getValue();

// 分析失败率趋势
TrendAnalysis failureRateTrend = trendAnalyzer.analyzeFailureRateTrend(taskResults);

if (failureRateTrend.isIncreasing() && failureRateTrend.getChangeRate() > 0.2) {
ExceptionDetection detection = new ExceptionDetection();
detection.setDetectionId(generateDetectionId());
detection.setTaskId(taskId);
detection.setTaskName(taskResults.get(0).getTaskName());
detection.setDescription("失败率持续上升");
detection.setSeverity(Severity.HIGH);
detection.setTimestamp(System.currentTimeMillis());
detection.setDetectionType(DetectionType.TREND_ANALYSIS);
detection.setTrendAnalysis(failureRateTrend);

detections.add(detection);
}

// 分析响应时间趋势
TrendAnalysis responseTimeTrend = trendAnalyzer.analyzeResponseTimeTrend(taskResults);

if (responseTimeTrend.isIncreasing() && responseTimeTrend.getChangeRate() > 0.3) {
ExceptionDetection detection = new ExceptionDetection();
detection.setDetectionId(generateDetectionId());
detection.setTaskId(taskId);
detection.setTaskName(taskResults.get(0).getTaskName());
detection.setDescription("响应时间持续增长");
detection.setSeverity(Severity.MEDIUM);
detection.setTimestamp(System.currentTimeMillis());
detection.setDetectionType(DetectionType.TREND_ANALYSIS);
detection.setTrendAnalysis(responseTimeTrend);

detections.add(detection);
}
}

} catch (Exception e) {
log.error("趋势分析失败", e);
}

return detections;
}

/**
* 分析模式
*/
private List<ExceptionDetection> analyzePatterns(List<InspectionResult> results) {
List<ExceptionDetection> detections = new ArrayList<>();

try {
// 分析异常模式
Map<String, Integer> errorPatterns = new HashMap<>();

for (InspectionResult result : results) {
for (CheckPointResult checkPointResult : result.getCheckPointResults()) {
if (checkPointResult.getStatus() == CheckPointStatus.FAILED) {
String errorPattern = checkPointResult.getErrorMessage();
errorPatterns.merge(errorPattern, 1, Integer::sum);
}
}
}

// 检查频繁出现的错误模式
for (Map.Entry<String, Integer> entry : errorPatterns.entrySet()) {
String errorPattern = entry.getKey();
int count = entry.getValue();

if (count >= 3) { // 出现3次以上认为是模式
ExceptionDetection detection = new ExceptionDetection();
detection.setDetectionId(generateDetectionId());
detection.setDescription("频繁出现错误模式: " + errorPattern);
detection.setSeverity(Severity.MEDIUM);
detection.setTimestamp(System.currentTimeMillis());
detection.setDetectionType(DetectionType.PATTERN_ANALYSIS);
detection.setPatternCount(count);

detections.add(detection);
}
}

} catch (Exception e) {
log.error("模式分析失败", e);
}

return detections;
}

/**
* 计算严重程度
*/
private Severity calculateSeverity(CheckPointResult checkPointResult) {
String errorMessage = checkPointResult.getErrorMessage();

if (errorMessage.contains("数据库") || errorMessage.contains("连接")) {
return Severity.CRITICAL;
} else if (errorMessage.contains("超时") || errorMessage.contains("性能")) {
return Severity.HIGH;
} else if (errorMessage.contains("数据") || errorMessage.contains("业务")) {
return Severity.MEDIUM;
} else {
return Severity.LOW;
}
}

/**
* 生成检测ID
*/
private String generateDetectionId() {
return "detection-" + System.currentTimeMillis() + "-" + Thread.currentThread().getId();
}
}

3.3 告警规则引擎

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/**
* 告警规则引擎
*/
@Component
public class AlertRuleEngine {

private final Map<String, AlertRule> alertRules;

public AlertRuleEngine() {
this.alertRules = new HashMap<>();
initializeDefaultRules();
}

/**
* 初始化默认规则
*/
private void initializeDefaultRules() {
// 严重异常规则
AlertRule criticalRule = new AlertRule();
criticalRule.setRuleId("critical-exception");
criticalRule.setName("严重异常告警");
criticalRule.setDescription("检测到严重异常时立即告警");
criticalRule.setSeverity(Severity.CRITICAL);
criticalRule.setAlertType(AlertType.IMMEDIATE);
criticalRule.setConditions(Arrays.asList(
"exceptionType == 'CRITICAL'",
"severity == 'CRITICAL'"
));
alertRules.put(criticalRule.getRuleId(), criticalRule);

// 高频异常规则
AlertRule frequencyRule = new AlertRule();
frequencyRule.setRuleId("high-frequency-exception");
frequencyRule.setName("高频异常告警");
frequencyRule.setDescription("短时间内出现大量异常时告警");
frequencyRule.setSeverity(Severity.HIGH);
frequencyRule.setAlertType(AlertType.BATCH);
frequencyRule.setConditions(Arrays.asList(
"exceptionCount > 10",
"timeWindow == '5min'"
));
alertRules.put(frequencyRule.getRuleId(), frequencyRule);

// 趋势异常规则
AlertRule trendRule = new AlertRule();
trendRule.setRuleId("trend-exception");
trendRule.setName("趋势异常告警");
trendRule.setDescription("异常趋势持续恶化时告警");
trendRule.setSeverity(Severity.MEDIUM);
trendRule.setAlertType(AlertType.TREND);
trendRule.setConditions(Arrays.asList(
"trendDirection == 'INCREASING'",
"changeRate > 0.2"
));
alertRules.put(trendRule.getRuleId(), trendRule);
}

/**
* 检查告警规则
*/
public List<AlertRule> checkRules(ExceptionDetection detection) {
List<AlertRule> triggeredRules = new ArrayList<>();

for (AlertRule rule : alertRules.values()) {
if (evaluateRule(rule, detection)) {
triggeredRules.add(rule);
}
}

return triggeredRules;
}

/**
* 评估规则
*/
private boolean evaluateRule(AlertRule rule, ExceptionDetection detection) {
try {
for (String condition : rule.getConditions()) {
if (!evaluateCondition(condition, detection)) {
return false;
}
}
return true;

} catch (Exception e) {
log.error("规则评估失败: {}", rule.getName(), e);
return false;
}
}

/**
* 评估条件
*/
private boolean evaluateCondition(String condition, ExceptionDetection detection) {
// 简单的条件评估实现
if (condition.contains("exceptionType == 'CRITICAL'")) {
return detection.getExceptionType() == ExceptionType.CRITICAL;
}

if (condition.contains("severity == 'CRITICAL'")) {
return detection.getSeverity() == Severity.CRITICAL;
}

if (condition.contains("exceptionCount > 10")) {
return detection.getPatternCount() > 10;
}

if (condition.contains("trendDirection == 'INCREASING'")) {
return detection.getTrendAnalysis() != null &&
detection.getTrendAnalysis().isIncreasing();
}

if (condition.contains("changeRate > 0.2")) {
return detection.getTrendAnalysis() != null &&
detection.getTrendAnalysis().getChangeRate() > 0.2;
}

return false;
}

/**
* 添加告警规则
*/
public void addRule(AlertRule rule) {
alertRules.put(rule.getRuleId(), rule);
}

/**
* 删除告警规则
*/
public void removeRule(String ruleId) {
alertRules.remove(ruleId);
}

/**
* 获取所有规则
*/
public List<AlertRule> getAllRules() {
return new ArrayList<>(alertRules.values());
}
}

四、企业级巡检方案

4.1 巡检配置管理

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/**
* 巡检配置管理服务
*/
@Service
public class InspectionConfigService {

@Autowired
private ConfigurationRepository configRepository;

/**
* 获取巡检配置
*/
public InspectionConfig getConfig(String configId) {
return configRepository.findById(configId)
.orElseThrow(() -> new ConfigNotFoundException("巡检配置不存在: " + configId));
}

/**
* 保存巡检配置
*/
public void saveConfig(InspectionConfig config) {
try {
// 验证配置
validateConfig(config);

// 保存配置
configRepository.save(config);

log.info("巡检配置保存成功: {}", config.getConfigId());

} catch (Exception e) {
log.error("巡检配置保存失败", e);
throw new ConfigSaveException("巡检配置保存失败", e);
}
}

/**
* 更新巡检配置
*/
public void updateConfig(String configId, InspectionConfig config) {
try {
// 检查配置是否存在
if (!configRepository.existsById(configId)) {
throw new ConfigNotFoundException("巡检配置不存在: " + configId);
}

// 验证配置
validateConfig(config);

// 更新配置
config.setConfigId(configId);
configRepository.save(config);

log.info("巡检配置更新成功: {}", configId);

} catch (Exception e) {
log.error("巡检配置更新失败", e);
throw new ConfigUpdateException("巡检配置更新失败", e);
}
}

/**
* 删除巡检配置
*/
public void deleteConfig(String configId) {
try {
if (!configRepository.existsById(configId)) {
throw new ConfigNotFoundException("巡检配置不存在: " + configId);
}

configRepository.deleteById(configId);

log.info("巡检配置删除成功: {}", configId);

} catch (Exception e) {
log.error("巡检配置删除失败", e);
throw new ConfigDeleteException("巡检配置删除失败", e);
}
}

/**
* 获取所有配置
*/
public List<InspectionConfig> getAllConfigs() {
return configRepository.findAll();
}

/**
* 验证配置
*/
private void validateConfig(InspectionConfig config) {
if (config.getConfigId() == null || config.getConfigId().isEmpty()) {
throw new ConfigValidationException("配置ID不能为空");
}

if (config.getTaskName() == null || config.getTaskName().isEmpty()) {
throw new ConfigValidationException("任务名称不能为空");
}

if (config.getCronExpression() == null || config.getCronExpression().isEmpty()) {
throw new ConfigValidationException("Cron表达式不能为空");
}

if (config.getCheckPoints() == null || config.getCheckPoints().isEmpty()) {
throw new ConfigValidationException("检查点不能为空");
}

// 验证Cron表达式
try {
new CronExpression(config.getCronExpression());
} catch (Exception e) {
throw new ConfigValidationException("Cron表达式格式错误", e);
}
}
}

4.2 巡检结果存储

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/**
* 巡检结果存储服务
*/
@Service
public class InspectionResultStorageService {

@Autowired
private InspectionResultRepository resultRepository;

@Autowired
private CheckPointResultRepository checkPointResultRepository;

/**
* 存储巡检结果
*/
public void storeResult(InspectionResult result) {
try {
// 1. 存储主结果
resultRepository.save(result);

// 2. 存储检查点结果
for (CheckPointResult checkPointResult : result.getCheckPointResults()) {
checkPointResult.setInspectionResultId(result.getResultId());
checkPointResultRepository.save(checkPointResult);
}

log.info("巡检结果存储成功: {}", result.getResultId());

} catch (Exception e) {
log.error("巡检结果存储失败", e);
throw new ResultStorageException("巡检结果存储失败", e);
}
}

/**
* 获取巡检结果
*/
public InspectionResult getResult(String resultId) {
return resultRepository.findById(resultId)
.orElseThrow(() -> new ResultNotFoundException("巡检结果不存在: " + resultId));
}

/**
* 获取最近的巡检结果
*/
public List<InspectionResult> getRecentResults(int limit) {
return resultRepository.findRecentResults(limit);
}

/**
* 获取指定任务的巡检结果
*/
public List<InspectionResult> getResultsByTask(String taskId, int limit) {
return resultRepository.findByTaskIdOrderByStartTimeDesc(taskId, limit);
}

/**
* 获取巡检统计信息
*/
public InspectionStatistics getStatistics(String taskId, Date startTime, Date endTime) {
InspectionStatistics statistics = new InspectionStatistics();

try {
// 获取统计期间的结果
List<InspectionResult> results = resultRepository.findByTaskIdAndStartTimeBetween(
taskId, startTime, endTime
);

// 计算统计信息
statistics.setTotalCount(results.size());
statistics.setSuccessCount((int) results.stream()
.filter(result -> result.getStatus() == InspectionStatus.SUCCESS)
.count());
statistics.setFailureCount((int) results.stream()
.filter(result -> result.getStatus() == InspectionStatus.FAILURE)
.count());

// 计算成功率
if (statistics.getTotalCount() > 0) {
statistics.setSuccessRate((double) statistics.getSuccessCount() / statistics.getTotalCount());
}

// 计算平均执行时间
double avgDuration = results.stream()
.mapToLong(InspectionResult::getDuration)
.average()
.orElse(0.0);
statistics.setAverageDuration(avgDuration);

// 计算最大执行时间
long maxDuration = results.stream()
.mapToLong(InspectionResult::getDuration)
.max()
.orElse(0L);
statistics.setMaxDuration(maxDuration);

// 计算最小执行时间
long minDuration = results.stream()
.mapToLong(InspectionResult::getDuration)
.min()
.orElse(0L);
statistics.setMinDuration(minDuration);

} catch (Exception e) {
log.error("获取巡检统计信息失败", e);
throw new StatisticsException("获取巡检统计信息失败", e);
}

return statistics;
}
}

4.3 巡检报告生成

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/**
* 巡检报告生成服务
*/
@Service
public class InspectionReportService {

@Autowired
private InspectionResultStorageService resultStorageService;

@Autowired
private ReportTemplateService templateService;

/**
* 生成巡检报告
*/
public InspectionReport generateReport(String taskId, Date startTime, Date endTime) {
InspectionReport report = new InspectionReport();

try {
// 1. 设置报告基本信息
report.setReportId(generateReportId());
report.setTaskId(taskId);
report.setStartTime(startTime);
report.setEndTime(endTime);
report.setGenerateTime(new Date());

// 2. 获取巡检结果
List<InspectionResult> results = resultStorageService.getResultsByTask(taskId, 100);

// 3. 生成统计信息
InspectionStatistics statistics = resultStorageService.getStatistics(taskId, startTime, endTime);
report.setStatistics(statistics);

// 4. 生成趋势分析
TrendAnalysis trendAnalysis = generateTrendAnalysis(results);
report.setTrendAnalysis(trendAnalysis);

// 5. 生成异常分析
ExceptionAnalysis exceptionAnalysis = generateExceptionAnalysis(results);
report.setExceptionAnalysis(exceptionAnalysis);

// 6. 生成建议
List<Recommendation> recommendations = generateRecommendations(statistics, trendAnalysis, exceptionAnalysis);
report.setRecommendations(recommendations);

// 7. 生成报告摘要
String summary = generateSummary(report);
report.setSummary(summary);

log.info("巡检报告生成成功: {}", report.getReportId());

} catch (Exception e) {
log.error("巡检报告生成失败", e);
throw new ReportGenerationException("巡检报告生成失败", e);
}

return report;
}

/**
* 生成趋势分析
*/
private TrendAnalysis generateTrendAnalysis(List<InspectionResult> results) {
TrendAnalysis analysis = new TrendAnalysis();

try {
// 按时间排序
results.sort(Comparator.comparing(InspectionResult::getStartTime));

// 分析成功率趋势
List<Double> successRates = new ArrayList<>();
for (InspectionResult result : results) {
double successRate = calculateSuccessRate(result);
successRates.add(successRate);
}

analysis.setSuccessRateTrend(analyzeTrend(successRates));

// 分析执行时间趋势
List<Long> durations = results.stream()
.map(InspectionResult::getDuration)
.collect(Collectors.toList());

analysis.setDurationTrend(analyzeTrend(durations));

// 分析异常趋势
List<Integer> exceptionCounts = results.stream()
.map(result -> (int) result.getCheckPointResults().stream()
.filter(cp -> cp.getStatus() == CheckPointStatus.FAILED)
.count())
.collect(Collectors.toList());

analysis.setExceptionTrend(analyzeTrend(exceptionCounts));

} catch (Exception e) {
log.error("趋势分析生成失败", e);
}

return analysis;
}

/**
* 生成异常分析
*/
private ExceptionAnalysis generateExceptionAnalysis(List<InspectionResult> results) {
ExceptionAnalysis analysis = new ExceptionAnalysis();

try {
// 统计异常类型
Map<String, Integer> exceptionTypeCount = new HashMap<>();
Map<String, Integer> exceptionMessageCount = new HashMap<>();

for (InspectionResult result : results) {
for (CheckPointResult checkPointResult : result.getCheckPointResults()) {
if (checkPointResult.getStatus() == CheckPointStatus.FAILED) {
String errorMessage = checkPointResult.getErrorMessage();

// 统计异常消息
exceptionMessageCount.merge(errorMessage, 1, Integer::sum);

// 统计异常类型
String exceptionType = classifyException(errorMessage);
exceptionTypeCount.merge(exceptionType, 1, Integer::sum);
}
}
}

analysis.setExceptionTypeCount(exceptionTypeCount);
analysis.setExceptionMessageCount(exceptionMessageCount);

// 找出最常见的异常
String mostCommonException = exceptionMessageCount.entrySet().stream()
.max(Map.Entry.comparingByValue())
.map(Map.Entry::getKey)
.orElse("无");

analysis.setMostCommonException(mostCommonException);

} catch (Exception e) {
log.error("异常分析生成失败", e);
}

return analysis;
}

/**
* 生成建议
*/
private List<Recommendation> generateRecommendations(InspectionStatistics statistics,
TrendAnalysis trendAnalysis,
ExceptionAnalysis exceptionAnalysis) {
List<Recommendation> recommendations = new ArrayList<>();

try {
// 基于成功率生成建议
if (statistics.getSuccessRate() < 0.8) {
Recommendation rec = new Recommendation();
rec.setType(RecommendationType.SUCCESS_RATE);
rec.setPriority(Priority.HIGH);
rec.setTitle("提升巡检成功率");
rec.setDescription("当前巡检成功率为" + String.format("%.2f", statistics.getSuccessRate() * 100) + "%,建议检查系统稳定性");
recommendations.add(rec);
}

// 基于执行时间生成建议
if (statistics.getAverageDuration() > 30000) { // 30秒
Recommendation rec = new Recommendation();
rec.setType(RecommendationType.PERFORMANCE);
rec.setPriority(Priority.MEDIUM);
rec.setTitle("优化巡检性能");
rec.setDescription("平均执行时间为" + statistics.getAverageDuration() + "ms,建议优化检查点性能");
recommendations.add(rec);
}

// 基于异常分析生成建议
if (exceptionAnalysis.getMostCommonException() != null &&
!exceptionAnalysis.getMostCommonException().equals("无")) {
Recommendation rec = new Recommendation();
rec.setType(RecommendationType.EXCEPTION_HANDLING);
rec.setPriority(Priority.MEDIUM);
rec.setTitle("处理常见异常");
rec.setDescription("最常见的异常是:" + exceptionAnalysis.getMostCommonException() + ",建议优先处理");
recommendations.add(rec);
}

} catch (Exception e) {
log.error("建议生成失败", e);
}

return recommendations;
}

/**
* 生成报告摘要
*/
private String generateSummary(InspectionReport report) {
StringBuilder summary = new StringBuilder();

summary.append("巡检报告摘要\n");
summary.append("任务ID: ").append(report.getTaskId()).append("\n");
summary.append("统计期间: ").append(report.getStartTime()).append(" - ").append(report.getEndTime()).append("\n");
summary.append("总执行次数: ").append(report.getStatistics().getTotalCount()).append("\n");
summary.append("成功率: ").append(String.format("%.2f", report.getStatistics().getSuccessRate() * 100)).append("%\n");
summary.append("平均执行时间: ").append(report.getStatistics().getAverageDuration()).append("ms\n");

if (!report.getRecommendations().isEmpty()) {
summary.append("主要建议: ").append(report.getRecommendations().get(0).getTitle()).append("\n");
}

return summary.toString();
}

/**
* 计算成功率
*/
private double calculateSuccessRate(InspectionResult result) {
int totalCheckPoints = result.getCheckPointResults().size();
int successCheckPoints = (int) result.getCheckPointResults().stream()
.filter(cp -> cp.getStatus() == CheckPointStatus.PASSED)
.count();

return totalCheckPoints > 0 ? (double) successCheckPoints / totalCheckPoints : 0.0;
}

/**
* 分析趋势
*/
private TrendDirection analyzeTrend(List<? extends Number> values) {
if (values.size() < 2) {
return TrendDirection.STABLE;
}

// 简单趋势分析
double firstHalf = values.subList(0, values.size() / 2).stream()
.mapToDouble(Number::doubleValue)
.average()
.orElse(0.0);

double secondHalf = values.subList(values.size() / 2, values.size()).stream()
.mapToDouble(Number::doubleValue)
.average()
.orElse(0.0);

if (secondHalf > firstHalf * 1.1) {
return TrendDirection.INCREASING;
} else if (secondHalf < firstHalf * 0.9) {
return TrendDirection.DECREASING;
} else {
return TrendDirection.STABLE;
}
}

/**
* 分类异常
*/
private String classifyException(String errorMessage) {
if (errorMessage.contains("数据库") || errorMessage.contains("SQL")) {
return "数据库异常";
} else if (errorMessage.contains("网络") || errorMessage.contains("连接")) {
return "网络异常";
} else if (errorMessage.contains("超时")) {
return "超时异常";
} else if (errorMessage.contains("权限") || errorMessage.contains("认证")) {
return "权限异常";
} else {
return "其他异常";
}
}

/**
* 生成报告ID
*/
private String generateReportId() {
return "report-" + System.currentTimeMillis() + "-" + Thread.currentThread().getId();
}
}

五、最佳实践与总结

5.1 业务自动巡检最佳实践

  1. 巡检策略设计

    • 根据业务特点设计巡检策略
    • 设置合理的巡检频率
    • 覆盖关键业务节点
  2. 检查点设计

    • 设计全面的检查点
    • 包括数据检查、接口检查、性能检查
    • 设置合理的检查阈值
  3. 异常处理机制

    • 建立完善的异常分类
    • 实现智能告警
    • 提供自动修复能力
  4. 监控告警体系

    • 建立多层次的监控
    • 设置合理的告警阈值
    • 实现智能告警降噪

5.2 架构师级巡检技能

  1. 系统性思维

    • 从全局角度设计巡检体系
    • 考虑巡检对系统性能的影响
    • 设计可扩展的巡检架构
  2. 业务理解能力

    • 深入理解业务逻辑
    • 识别关键业务节点
    • 设计有效的检查策略
  3. 异常分析能力

    • 快速识别异常模式
    • 分析异常根因
    • 制定有效的解决方案
  4. 运维自动化

    • 实现巡检自动化
    • 提供自动修复能力
    • 建立运维知识库

5.3 持续改进建议

  1. 巡检策略优化

    • 持续优化巡检策略
    • 改进检查点设计
    • 提升巡检效率
  2. 异常处理改进

    • 完善异常分类
    • 优化告警策略
    • 提升自动修复能力
  3. 监控体系完善

    • 完善监控指标
    • 优化告警规则
    • 提升监控精度
  4. 知识积累

    • 建立巡检案例库
    • 总结处理经验
    • 形成最佳实践

总结

Java业务自动巡检是企业级应用运维的核心能力,通过智能的巡检策略、完善的异常检测机制和系统化的处理流程,能够及时发现业务异常,预防潜在问题,保障企业级应用的高可用性。本文从巡检策略设计到异常检测,从基础原理到企业级实践,系统梳理了Java业务自动巡检的完整解决方案。

关键要点:

  1. 智能巡检策略:根据业务特点设计全面的巡检策略
  2. 异常检测机制:实现智能的异常检测和分类
  3. 监控告警体系:建立完善的监控和告警机制
  4. 企业级实践:巡检配置管理、结果存储、报告生成

通过深入理解这些技术要点,架构师能够设计出完善的业务自动巡检系统,提升系统的稳定性和可靠性,确保企业级应用的高可用性。