1. ES建立索引的开销概述

ES建立索引的开销是Elasticsearch性能优化和成本控制的重要方面,通过深入分析索引创建、更新、删除过程中的资源消耗,可以优化索引策略、提升系统性能、降低运营成本。在Java应用中,合理管理ES索引开销可以实现性能优化、资源节约、成本控制等功能。本文将详细介绍ES建立索引开销的原理、分析方法、优化技巧以及在Java实战中的应用。

1.1 ES建立索引开销核心价值

  1. 性能优化: 优化索引创建和更新性能
  2. 资源管理: 合理管理CPU、内存、磁盘资源
  3. 成本控制: 降低索引维护和存储成本
  4. 系统稳定性: 提升系统稳定性和可用性
  5. 监控告警: 提供完善的监控和告警能力

1.2 ES索引开销场景

  • 索引创建: 新索引的创建和初始化
  • 索引更新: 索引映射和设置的更新
  • 索引删除: 索引的删除和清理
  • 索引重建: 索引的重建和迁移
  • 索引优化: 索引的优化和维护

1.3 索引开销类型

  • CPU开销: 索引创建和更新时的CPU消耗
  • 内存开销: 索引数据在内存中的占用
  • 磁盘开销: 索引数据在磁盘上的存储
  • 网络开销: 索引数据传输的网络消耗
  • 时间开销: 索引操作的时间消耗

2. ES建立索引开销基础实现

2.1 ES索引开销配置类

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/**
* ES索引开销配置类
* @author 运维实战
*/
@Configuration
@EnableConfigurationProperties(ESIndexCostProperties.class)
public class ESIndexCostConfig {

@Autowired
private ESIndexCostProperties properties;

/**
* ES索引开销服务
* @return 索引开销服务
*/
@Bean
public ESIndexCostService esIndexCostService() {
return new ESIndexCostService();
}

/**
* ES索引开销监控服务
* @return 索引开销监控服务
*/
@Bean
public ESIndexCostMonitorService esIndexCostMonitorService() {
return new ESIndexCostMonitorService();
}

/**
* ES索引开销优化服务
* @return 索引开销优化服务
*/
@Bean
public ESIndexCostOptimizeService esIndexCostOptimizeService() {
return new ESIndexCostOptimizeService();
}

private static final Logger logger = LoggerFactory.getLogger(ESIndexCostConfig.class);
}

2.2 ES索引开销属性配置

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/**
* ES索引开销属性配置
* @author 运维实战
*/
@Data
@ConfigurationProperties(prefix = "elasticsearch.index.cost")
public class ESIndexCostProperties {

/**
* 是否启用索引开销监控
*/
private boolean enableCostMonitoring = true;

/**
* 最大索引大小(GB)
*/
private double maxIndexSizeGB = 50.0;

/**
* 索引创建超时时间(毫秒)
*/
private long indexCreationTimeoutMs = 60000;

/**
* 索引更新超时时间(毫秒)
*/
private long indexUpdateTimeoutMs = 30000;

/**
* 索引删除超时时间(毫秒)
*/
private long indexDeletionTimeoutMs = 30000;

/**
* 是否启用索引开销优化
*/
private boolean enableCostOptimization = true;

/**
* 是否启用索引压缩
*/
private boolean enableIndexCompression = true;

/**
* 压缩算法
*/
private String compressionAlgorithm = "lz4";

/**
* 是否启用索引分片优化
*/
private boolean enableShardOptimization = true;

/**
* 推荐分片数量
*/
private int recommendedShardCount = 5;

/**
* 是否启用索引副本优化
*/
private boolean enableReplicaOptimization = true;

/**
* 推荐副本数量
*/
private int recommendedReplicaCount = 1;

/**
* 是否启用索引刷新优化
*/
private boolean enableRefreshOptimization = true;

/**
* 索引刷新间隔(毫秒)
*/
private long refreshIntervalMs = 1000;

/**
* 是否启用监控
*/
private boolean enableMonitor = true;

/**
* 监控间隔(毫秒)
*/
private long monitorInterval = 30000;
}

2.3 基础ES索引开销服务

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/**
* 基础ES索引开销服务
* @author 运维实战
*/
@Service
public class ESIndexCostService {

@Autowired
private RestHighLevelClient elasticsearchClient;

@Autowired
private ESIndexCostProperties properties;

@Autowired
private ESIndexCostMonitorService esIndexCostMonitorService;

@Autowired
private ESIndexCostOptimizeService esIndexCostOptimizeService;

private static final Logger logger = LoggerFactory.getLogger(ESIndexCostService.class);

/**
* 分析索引创建开销
* @param indexName 索引名称
* @param mapping 索引映射
* @param settings 索引设置
* @return 索引创建开销分析结果
*/
public ESIndexCostResult analyzeIndexCreationCost(String indexName, Map<String, Object> mapping, Map<String, Object> settings) {
logger.info("开始分析索引创建开销,索引: {}", indexName);

ESIndexCostResult result = new ESIndexCostResult();
result.setIndexName(indexName);
result.setOperationType("CREATE");
result.setStartTime(System.currentTimeMillis());

try {
// 获取索引开销优化策略
ESIndexCostStrategy strategy = esIndexCostOptimizeService.getStrategy("CREATE", mapping, settings);

// 执行索引创建开销分析
result = executeIndexCreationCostAnalysis(indexName, mapping, settings, strategy);

// 记录索引开销指标
esIndexCostMonitorService.recordIndexCost(indexName, "CREATE", result.getEstimatedCost());

logger.info("索引创建开销分析完成,索引: {}, 预估开销: {}, 耗时: {}ms",
indexName, result.getEstimatedCost(), result.getDuration());

return result;

} catch (Exception e) {
logger.error("索引创建开销分析异常,索引: {}", indexName, e);
result.setSuccess(false);
result.setError("索引创建开销分析异常: " + e.getMessage());
result.setEndTime(System.currentTimeMillis());
return result;
}
}

/**
* 分析索引更新开销
* @param indexName 索引名称
* @param updateMapping 更新映射
* @param updateSettings 更新设置
* @return 索引更新开销分析结果
*/
public ESIndexCostResult analyzeIndexUpdateCost(String indexName, Map<String, Object> updateMapping, Map<String, Object> updateSettings) {
logger.info("开始分析索引更新开销,索引: {}", indexName);

ESIndexCostResult result = new ESIndexCostResult();
result.setIndexName(indexName);
result.setOperationType("UPDATE");
result.setStartTime(System.currentTimeMillis());

try {
// 获取索引开销优化策略
ESIndexCostStrategy strategy = esIndexCostOptimizeService.getStrategy("UPDATE", updateMapping, updateSettings);

// 执行索引更新开销分析
result = executeIndexUpdateCostAnalysis(indexName, updateMapping, updateSettings, strategy);

// 记录索引开销指标
esIndexCostMonitorService.recordIndexCost(indexName, "UPDATE", result.getEstimatedCost());

logger.info("索引更新开销分析完成,索引: {}, 预估开销: {}, 耗时: {}ms",
indexName, result.getEstimatedCost(), result.getDuration());

return result;

} catch (Exception e) {
logger.error("索引更新开销分析异常,索引: {}", indexName, e);
result.setSuccess(false);
result.setError("索引更新开销分析异常: " + e.getMessage());
result.setEndTime(System.currentTimeMillis());
return result;
}
}

/**
* 分析索引删除开销
* @param indexName 索引名称
* @return 索引删除开销分析结果
*/
public ESIndexCostResult analyzeIndexDeletionCost(String indexName) {
logger.info("开始分析索引删除开销,索引: {}", indexName);

ESIndexCostResult result = new ESIndexCostResult();
result.setIndexName(indexName);
result.setOperationType("DELETE");
result.setStartTime(System.currentTimeMillis());

try {
// 获取索引开销优化策略
ESIndexCostStrategy strategy = esIndexCostOptimizeService.getStrategy("DELETE", null, null);

// 执行索引删除开销分析
result = executeIndexDeletionCostAnalysis(indexName, strategy);

// 记录索引开销指标
esIndexCostMonitorService.recordIndexCost(indexName, "DELETE", result.getEstimatedCost());

logger.info("索引删除开销分析完成,索引: {}, 预估开销: {}, 耗时: {}ms",
indexName, result.getEstimatedCost(), result.getDuration());

return result;

} catch (Exception e) {
logger.error("索引删除开销分析异常,索引: {}", indexName, e);
result.setSuccess(false);
result.setError("索引删除开销分析异常: " + e.getMessage());
result.setEndTime(System.currentTimeMillis());
return result;
}
}

/**
* 分析索引重建开销
* @param indexName 索引名称
* @param newMapping 新映射
* @param newSettings 新设置
* @return 索引重建开销分析结果
*/
public ESIndexCostResult analyzeIndexRebuildCost(String indexName, Map<String, Object> newMapping, Map<String, Object> newSettings) {
logger.info("开始分析索引重建开销,索引: {}", indexName);

ESIndexCostResult result = new ESIndexCostResult();
result.setIndexName(indexName);
result.setOperationType("REBUILD");
result.setStartTime(System.currentTimeMillis());

try {
// 获取索引开销优化策略
ESIndexCostStrategy strategy = esIndexCostOptimizeService.getStrategy("REBUILD", newMapping, newSettings);

// 执行索引重建开销分析
result = executeIndexRebuildCostAnalysis(indexName, newMapping, newSettings, strategy);

// 记录索引开销指标
esIndexCostMonitorService.recordIndexCost(indexName, "REBUILD", result.getEstimatedCost());

logger.info("索引重建开销分析完成,索引: {}, 预估开销: {}, 耗时: {}ms",
indexName, result.getEstimatedCost(), result.getDuration());

return result;

} catch (Exception e) {
logger.error("索引重建开销分析异常,索引: {}", indexName, e);
result.setSuccess(false);
result.setError("索引重建开销分析异常: " + e.getMessage());
result.setEndTime(System.currentTimeMillis());
return result;
}
}

/**
* 执行索引创建开销分析
* @param indexName 索引名称
* @param mapping 索引映射
* @param settings 索引设置
* @param strategy 策略
* @return 索引创建开销分析结果
*/
private ESIndexCostResult executeIndexCreationCostAnalysis(String indexName, Map<String, Object> mapping, Map<String, Object> settings, ESIndexCostStrategy strategy) {
ESIndexCostResult result = new ESIndexCostResult();
result.setIndexName(indexName);
result.setOperationType("CREATE");
result.setStartTime(System.currentTimeMillis());

try {
// 计算预估开销
ESIndexCostEstimate estimate = calculateIndexCreationCost(mapping, settings, strategy);

result.setEstimatedCost(estimate.getTotalCost());
result.setCpuCost(estimate.getCpuCost());
result.setMemoryCost(estimate.getMemoryCost());
result.setDiskCost(estimate.getDiskCost());
result.setNetworkCost(estimate.getNetworkCost());
result.setTimeCost(estimate.getTimeCost());
result.setSuccess(true);
result.setEndTime(System.currentTimeMillis());

return result;

} catch (Exception e) {
logger.error("执行索引创建开销分析异常,索引: {}", indexName, e);
result.setSuccess(false);
result.setError("执行索引创建开销分析异常: " + e.getMessage());
result.setEndTime(System.currentTimeMillis());
return result;
}
}

/**
* 执行索引更新开销分析
* @param indexName 索引名称
* @param updateMapping 更新映射
* @param updateSettings 更新设置
* @param strategy 策略
* @return 索引更新开销分析结果
*/
private ESIndexCostResult executeIndexUpdateCostAnalysis(String indexName, Map<String, Object> updateMapping, Map<String, Object> updateSettings, ESIndexCostStrategy strategy) {
ESIndexCostResult result = new ESIndexCostResult();
result.setIndexName(indexName);
result.setOperationType("UPDATE");
result.setStartTime(System.currentTimeMillis());

try {
// 计算预估开销
ESIndexCostEstimate estimate = calculateIndexUpdateCost(updateMapping, updateSettings, strategy);

result.setEstimatedCost(estimate.getTotalCost());
result.setCpuCost(estimate.getCpuCost());
result.setMemoryCost(estimate.getMemoryCost());
result.setDiskCost(estimate.getDiskCost());
result.setNetworkCost(estimate.getNetworkCost());
result.setTimeCost(estimate.getTimeCost());
result.setSuccess(true);
result.setEndTime(System.currentTimeMillis());

return result;

} catch (Exception e) {
logger.error("执行索引更新开销分析异常,索引: {}", indexName, e);
result.setSuccess(false);
result.setError("执行索引更新开销分析异常: " + e.getMessage());
result.setEndTime(System.currentTimeMillis());
return result;
}
}

/**
* 执行索引删除开销分析
* @param indexName 索引名称
* @param strategy 策略
* @return 索引删除开销分析结果
*/
private ESIndexCostResult executeIndexDeletionCostAnalysis(String indexName, ESIndexCostStrategy strategy) {
ESIndexCostResult result = new ESIndexCostResult();
result.setIndexName(indexName);
result.setOperationType("DELETE");
result.setStartTime(System.currentTimeMillis());

try {
// 计算预估开销
ESIndexCostEstimate estimate = calculateIndexDeletionCost(strategy);

result.setEstimatedCost(estimate.getTotalCost());
result.setCpuCost(estimate.getCpuCost());
result.setMemoryCost(estimate.getMemoryCost());
result.setDiskCost(estimate.getDiskCost());
result.setNetworkCost(estimate.getNetworkCost());
result.setTimeCost(estimate.getTimeCost());
result.setSuccess(true);
result.setEndTime(System.currentTimeMillis());

return result;

} catch (Exception e) {
logger.error("执行索引删除开销分析异常,索引: {}", indexName, e);
result.setSuccess(false);
result.setError("执行索引删除开销分析异常: " + e.getMessage());
result.setEndTime(System.currentTimeMillis());
return result;
}
}

/**
* 执行索引重建开销分析
* @param indexName 索引名称
* @param newMapping 新映射
* @param newSettings 新设置
* @param strategy 策略
* @return 索引重建开销分析结果
*/
private ESIndexCostResult executeIndexRebuildCostAnalysis(String indexName, Map<String, Object> newMapping, Map<String, Object> newSettings, ESIndexCostStrategy strategy) {
ESIndexCostResult result = new ESIndexCostResult();
result.setIndexName(indexName);
result.setOperationType("REBUILD");
result.setStartTime(System.currentTimeMillis());

try {
// 计算预估开销
ESIndexCostEstimate estimate = calculateIndexRebuildCost(newMapping, newSettings, strategy);

result.setEstimatedCost(estimate.getTotalCost());
result.setCpuCost(estimate.getCpuCost());
result.setMemoryCost(estimate.getMemoryCost());
result.setDiskCost(estimate.getDiskCost());
result.setNetworkCost(estimate.getNetworkCost());
result.setTimeCost(estimate.getTimeCost());
result.setSuccess(true);
result.setEndTime(System.currentTimeMillis());

return result;

} catch (Exception e) {
logger.error("执行索引重建开销分析异常,索引: {}", indexName, e);
result.setSuccess(false);
result.setError("执行索引重建开销分析异常: " + e.getMessage());
result.setEndTime(System.currentTimeMillis());
return result;
}
}

/**
* 计算索引创建开销
* @param mapping 索引映射
* @param settings 索引设置
* @param strategy 策略
* @return 索引创建开销估算
*/
private ESIndexCostEstimate calculateIndexCreationCost(Map<String, Object> mapping, Map<String, Object> settings, ESIndexCostStrategy strategy) {
ESIndexCostEstimate estimate = new ESIndexCostEstimate();

// 计算CPU开销
double cpuCost = calculateCpuCost(mapping, settings, "CREATE");
estimate.setCpuCost(cpuCost);

// 计算内存开销
double memoryCost = calculateMemoryCost(mapping, settings, "CREATE");
estimate.setMemoryCost(memoryCost);

// 计算磁盘开销
double diskCost = calculateDiskCost(mapping, settings, "CREATE");
estimate.setDiskCost(diskCost);

// 计算网络开销
double networkCost = calculateNetworkCost(mapping, settings, "CREATE");
estimate.setNetworkCost(networkCost);

// 计算时间开销
double timeCost = calculateTimeCost(mapping, settings, "CREATE");
estimate.setTimeCost(timeCost);

// 计算总开销
double totalCost = cpuCost + memoryCost + diskCost + networkCost + timeCost;
estimate.setTotalCost(totalCost);

return estimate;
}

/**
* 计算索引更新开销
* @param updateMapping 更新映射
* @param updateSettings 更新设置
* @param strategy 策略
* @return 索引更新开销估算
*/
private ESIndexCostEstimate calculateIndexUpdateCost(Map<String, Object> updateMapping, Map<String, Object> updateSettings, ESIndexCostStrategy strategy) {
ESIndexCostEstimate estimate = new ESIndexCostEstimate();

// 计算CPU开销
double cpuCost = calculateCpuCost(updateMapping, updateSettings, "UPDATE");
estimate.setCpuCost(cpuCost);

// 计算内存开销
double memoryCost = calculateMemoryCost(updateMapping, updateSettings, "UPDATE");
estimate.setMemoryCost(memoryCost);

// 计算磁盘开销
double diskCost = calculateDiskCost(updateMapping, updateSettings, "UPDATE");
estimate.setDiskCost(diskCost);

// 计算网络开销
double networkCost = calculateNetworkCost(updateMapping, updateSettings, "UPDATE");
estimate.setNetworkCost(networkCost);

// 计算时间开销
double timeCost = calculateTimeCost(updateMapping, updateSettings, "UPDATE");
estimate.setTimeCost(timeCost);

// 计算总开销
double totalCost = cpuCost + memoryCost + diskCost + networkCost + timeCost;
estimate.setTotalCost(totalCost);

return estimate;
}

/**
* 计算索引删除开销
* @param strategy 策略
* @return 索引删除开销估算
*/
private ESIndexCostEstimate calculateIndexDeletionCost(ESIndexCostStrategy strategy) {
ESIndexCostEstimate estimate = new ESIndexCostEstimate();

// 计算CPU开销
double cpuCost = calculateCpuCost(null, null, "DELETE");
estimate.setCpuCost(cpuCost);

// 计算内存开销
double memoryCost = calculateMemoryCost(null, null, "DELETE");
estimate.setMemoryCost(memoryCost);

// 计算磁盘开销
double diskCost = calculateDiskCost(null, null, "DELETE");
estimate.setDiskCost(diskCost);

// 计算网络开销
double networkCost = calculateNetworkCost(null, null, "DELETE");
estimate.setNetworkCost(networkCost);

// 计算时间开销
double timeCost = calculateTimeCost(null, null, "DELETE");
estimate.setTimeCost(timeCost);

// 计算总开销
double totalCost = cpuCost + memoryCost + diskCost + networkCost + timeCost;
estimate.setTotalCost(totalCost);

return estimate;
}

/**
* 计算索引重建开销
* @param newMapping 新映射
* @param newSettings 新设置
* @param strategy 策略
* @return 索引重建开销估算
*/
private ESIndexCostEstimate calculateIndexRebuildCost(Map<String, Object> newMapping, Map<String, Object> newSettings, ESIndexCostStrategy strategy) {
ESIndexCostEstimate estimate = new ESIndexCostEstimate();

// 计算CPU开销
double cpuCost = calculateCpuCost(newMapping, newSettings, "REBUILD");
estimate.setCpuCost(cpuCost);

// 计算内存开销
double memoryCost = calculateMemoryCost(newMapping, newSettings, "REBUILD");
estimate.setMemoryCost(memoryCost);

// 计算磁盘开销
double diskCost = calculateDiskCost(newMapping, newSettings, "REBUILD");
estimate.setDiskCost(diskCost);

// 计算网络开销
double networkCost = calculateNetworkCost(newMapping, newSettings, "REBUILD");
estimate.setNetworkCost(networkCost);

// 计算时间开销
double timeCost = calculateTimeCost(newMapping, newSettings, "REBUILD");
estimate.setTimeCost(timeCost);

// 计算总开销
double totalCost = cpuCost + memoryCost + diskCost + networkCost + timeCost;
estimate.setTotalCost(totalCost);

return estimate;
}

/**
* 计算CPU开销
* @param mapping 映射
* @param settings 设置
* @param operationType 操作类型
* @return CPU开销
*/
private double calculateCpuCost(Map<String, Object> mapping, Map<String, Object> settings, String operationType) {
// 基于操作类型和复杂度计算CPU开销
double baseCost = 10.0; // 基础CPU开销

if (mapping != null) {
baseCost += mapping.size() * 2.0; // 每个字段增加2.0的CPU开销
}

if (settings != null) {
baseCost += settings.size() * 1.0; // 每个设置增加1.0的CPU开销
}

// 根据操作类型调整
switch (operationType) {
case "CREATE":
return baseCost * 1.0;
case "UPDATE":
return baseCost * 0.5;
case "DELETE":
return baseCost * 0.3;
case "REBUILD":
return baseCost * 2.0;
default:
return baseCost;
}
}

/**
* 计算内存开销
* @param mapping 映射
* @param settings 设置
* @param operationType 操作类型
* @return 内存开销
*/
private double calculateMemoryCost(Map<String, Object> mapping, Map<String, Object> settings, String operationType) {
// 基于操作类型和复杂度计算内存开销
double baseCost = 50.0; // 基础内存开销(MB)

if (mapping != null) {
baseCost += mapping.size() * 10.0; // 每个字段增加10MB内存开销
}

if (settings != null) {
baseCost += settings.size() * 5.0; // 每个设置增加5MB内存开销
}

// 根据操作类型调整
switch (operationType) {
case "CREATE":
return baseCost * 1.0;
case "UPDATE":
return baseCost * 0.7;
case "DELETE":
return baseCost * 0.2;
case "REBUILD":
return baseCost * 1.5;
default:
return baseCost;
}
}

/**
* 计算磁盘开销
* @param mapping 映射
* @param settings 设置
* @param operationType 操作类型
* @return 磁盘开销
*/
private double calculateDiskCost(Map<String, Object> mapping, Map<String, Object> settings, String operationType) {
// 基于操作类型和复杂度计算磁盘开销
double baseCost = 100.0; // 基础磁盘开销(MB)

if (mapping != null) {
baseCost += mapping.size() * 20.0; // 每个字段增加20MB磁盘开销
}

if (settings != null) {
baseCost += settings.size() * 10.0; // 每个设置增加10MB磁盘开销
}

// 根据操作类型调整
switch (operationType) {
case "CREATE":
return baseCost * 1.0;
case "UPDATE":
return baseCost * 0.8;
case "DELETE":
return baseCost * 0.1;
case "REBUILD":
return baseCost * 2.0;
default:
return baseCost;
}
}

/**
* 计算网络开销
* @param mapping 映射
* @param settings 设置
* @param operationType 操作类型
* @return 网络开销
*/
private double calculateNetworkCost(Map<String, Object> mapping, Map<String, Object> settings, String operationType) {
// 基于操作类型和复杂度计算网络开销
double baseCost = 5.0; // 基础网络开销(MB)

if (mapping != null) {
baseCost += mapping.size() * 1.0; // 每个字段增加1MB网络开销
}

if (settings != null) {
baseCost += settings.size() * 0.5; // 每个设置增加0.5MB网络开销
}

// 根据操作类型调整
switch (operationType) {
case "CREATE":
return baseCost * 1.0;
case "UPDATE":
return baseCost * 0.6;
case "DELETE":
return baseCost * 0.2;
case "REBUILD":
return baseCost * 1.8;
default:
return baseCost;
}
}

/**
* 计算时间开销
* @param mapping 映射
* @param settings 设置
* @param operationType 操作类型
* @return 时间开销
*/
private double calculateTimeCost(Map<String, Object> mapping, Map<String, Object> settings, String operationType) {
// 基于操作类型和复杂度计算时间开销
double baseCost = 1000.0; // 基础时间开销(毫秒)

if (mapping != null) {
baseCost += mapping.size() * 100.0; // 每个字段增加100ms时间开销
}

if (settings != null) {
baseCost += settings.size() * 50.0; // 每个设置增加50ms时间开销
}

// 根据操作类型调整
switch (operationType) {
case "CREATE":
return baseCost * 1.0;
case "UPDATE":
return baseCost * 0.8;
case "DELETE":
return baseCost * 0.5;
case "REBUILD":
return baseCost * 3.0;
default:
return baseCost;
}
}
}

2.4 ES索引开销结果类

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/**
* ES索引开销结果类
* @author 运维实战
*/
@Data
public class ESIndexCostResult {

private boolean success;
private String indexName;
private String operationType;
private double estimatedCost;
private double cpuCost;
private double memoryCost;
private double diskCost;
private double networkCost;
private double timeCost;
private String error;
private long startTime;
private long endTime;

public ESIndexCostResult() {
this.success = false;
this.estimatedCost = 0.0;
this.cpuCost = 0.0;
this.memoryCost = 0.0;
this.diskCost = 0.0;
this.networkCost = 0.0;
this.timeCost = 0.0;
}

/**
* 获取处理耗时
* @return 处理耗时(毫秒)
*/
public long getDuration() {
return endTime - startTime;
}

/**
* 获取总开销
* @return 总开销
*/
public double getTotalCost() {
return estimatedCost;
}
}

2.5 ES索引开销策略类

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/**
* ES索引开销策略类
* @author 运维实战
*/
@Data
public class ESIndexCostStrategy {

private String strategy;
private String description;
private String operationType;
private Map<String, Object> mapping;
private Map<String, Object> settings;
private double estimatedCost;
private long timestamp;

public ESIndexCostStrategy() {
this.timestamp = System.currentTimeMillis();
}

/**
* 获取开销等级
* @return 开销等级
*/
public String getCostLevel() {
if (estimatedCost <= 100) {
return "LOW";
} else if (estimatedCost <= 500) {
return "MEDIUM";
} else if (estimatedCost <= 1000) {
return "HIGH";
} else {
return "VERY_HIGH";
}
}
}

2.6 ES索引开销估算类

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/**
* ES索引开销估算类
* @author 运维实战
*/
@Data
public class ESIndexCostEstimate {

private double totalCost;
private double cpuCost;
private double memoryCost;
private double diskCost;
private double networkCost;
private double timeCost;

public ESIndexCostEstimate() {
this.totalCost = 0.0;
this.cpuCost = 0.0;
this.memoryCost = 0.0;
this.diskCost = 0.0;
this.networkCost = 0.0;
this.timeCost = 0.0;
}

/**
* 获取总开销
* @return 总开销
*/
public double getTotalCost() {
return totalCost;
}
}

3. 高级功能实现

3.1 ES索引开销监控服务

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/**
* ES索引开销监控服务
* @author 运维实战
*/
@Service
public class ESIndexCostMonitorService {

private final AtomicLong totalIndexCostAnalyses = new AtomicLong(0);
private final AtomicLong totalSuccessfulAnalyses = new AtomicLong(0);
private final AtomicLong totalFailedAnalyses = new AtomicLong(0);
private final AtomicDouble totalEstimatedCost = new AtomicDouble(0.0);

private long lastResetTime = System.currentTimeMillis();
private final long resetInterval = 300000; // 5分钟重置一次

private static final Logger logger = LoggerFactory.getLogger(ESIndexCostMonitorService.class);

/**
* 记录索引开销
* @param indexName 索引名称
* @param operationType 操作类型
* @param estimatedCost 预估开销
*/
public void recordIndexCost(String indexName, String operationType, double estimatedCost) {
totalIndexCostAnalyses.incrementAndGet();
totalSuccessfulAnalyses.incrementAndGet();
totalEstimatedCost.addAndGet(estimatedCost);

logger.debug("记录索引开销: 索引={}, 操作类型={}, 预估开销={}",
indexName, operationType, estimatedCost);
}

/**
* 获取监控指标
* @return 监控指标
*/
public ESIndexCostMetrics getMetrics() {
// 检查是否需要重置
if (System.currentTimeMillis() - lastResetTime > resetInterval) {
resetMetrics();
}

ESIndexCostMetrics metrics = new ESIndexCostMetrics();
metrics.setTotalIndexCostAnalyses(totalIndexCostAnalyses.get());
metrics.setTotalSuccessfulAnalyses(totalSuccessfulAnalyses.get());
metrics.setTotalFailedAnalyses(totalFailedAnalyses.get());
metrics.setTotalEstimatedCost(totalEstimatedCost.get());
metrics.setTimestamp(System.currentTimeMillis());

return metrics;
}

/**
* 重置指标
*/
private void resetMetrics() {
totalIndexCostAnalyses.set(0);
totalSuccessfulAnalyses.set(0);
totalFailedAnalyses.set(0);
totalEstimatedCost.set(0.0);
lastResetTime = System.currentTimeMillis();

logger.info("ES索引开销监控指标重置");
}

/**
* 定期监控ES索引开销状态
*/
@Scheduled(fixedRate = 30000) // 每30秒监控一次
public void monitorESIndexCostStatus() {
try {
ESIndexCostMetrics metrics = getMetrics();

logger.info("ES索引开销监控: 总分析次数={}, 成功分析={}, 失败分析={}, 总预估开销={}, 成功率={}%, 平均开销={}",
metrics.getTotalIndexCostAnalyses(), metrics.getTotalSuccessfulAnalyses(),
metrics.getTotalFailedAnalyses(), String.format("%.2f", metrics.getTotalEstimatedCost()),
String.format("%.2f", metrics.getSuccessRate()),
String.format("%.2f", metrics.getAverageCost()));

// 检查异常情况
if (metrics.getSuccessRate() < 90) {
logger.warn("ES索引开销分析成功率过低: {}%", String.format("%.2f", metrics.getSuccessRate()));
}

if (metrics.getAverageCost() > 1000) {
logger.warn("平均索引开销过高: {}", String.format("%.2f", metrics.getAverageCost()));
}

} catch (Exception e) {
logger.error("ES索引开销状态监控失败", e);
}
}
}

3.2 ES索引开销指标类

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/**
* ES索引开销指标类
* @author 运维实战
*/
@Data
public class ESIndexCostMetrics {

private long totalIndexCostAnalyses;
private long totalSuccessfulAnalyses;
private long totalFailedAnalyses;
private double totalEstimatedCost;
private long timestamp;

public ESIndexCostMetrics() {
this.timestamp = System.currentTimeMillis();
}

/**
* 获取成功率
* @return 成功率
*/
public double getSuccessRate() {
if (totalIndexCostAnalyses == 0) return 0.0;
return (double) totalSuccessfulAnalyses / totalIndexCostAnalyses * 100;
}

/**
* 获取失败率
* @return 失败率
*/
public double getFailureRate() {
if (totalIndexCostAnalyses == 0) return 0.0;
return (double) totalFailedAnalyses / totalIndexCostAnalyses * 100;
}

/**
* 获取平均开销
* @return 平均开销
*/
public double getAverageCost() {
if (totalSuccessfulAnalyses == 0) return 0.0;
return totalEstimatedCost / totalSuccessfulAnalyses;
}

/**
* 是否健康
* @return 是否健康
*/
public boolean isHealthy() {
return getSuccessRate() > 90 && getAverageCost() <= 1000;
}
}

3.3 ES索引开销优化服务

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/**
* ES索引开销优化服务
* @author 运维实战
*/
@Service
public class ESIndexCostOptimizeService {

@Autowired
private ESIndexCostProperties properties;

private static final Logger logger = LoggerFactory.getLogger(ESIndexCostOptimizeService.class);

/**
* 获取索引开销策略
* @param operationType 操作类型
* @param mapping 映射
* @param settings 设置
* @return 索引开销策略
*/
public ESIndexCostStrategy getStrategy(String operationType, Map<String, Object> mapping, Map<String, Object> settings) {
logger.info("获取ES索引开销策略,操作类型: {}", operationType);

ESIndexCostStrategy strategy = new ESIndexCostStrategy();
strategy.setOperationType(operationType);
strategy.setMapping(mapping);
strategy.setSettings(settings);
strategy.setTimestamp(System.currentTimeMillis());

// 根据操作类型选择策略
switch (operationType) {
case "CREATE":
strategy.setStrategy("CREATE_OPTIMIZED");
strategy.setDescription("索引创建优化策略");
strategy.setEstimatedCost(calculateCreateCost(mapping, settings));
break;
case "UPDATE":
strategy.setStrategy("UPDATE_OPTIMIZED");
strategy.setDescription("索引更新优化策略");
strategy.setEstimatedCost(calculateUpdateCost(mapping, settings));
break;
case "DELETE":
strategy.setStrategy("DELETE_OPTIMIZED");
strategy.setDescription("索引删除优化策略");
strategy.setEstimatedCost(calculateDeleteCost());
break;
case "REBUILD":
strategy.setStrategy("REBUILD_OPTIMIZED");
strategy.setDescription("索引重建优化策略");
strategy.setEstimatedCost(calculateRebuildCost(mapping, settings));
break;
default:
strategy.setStrategy("DEFAULT_OPTIMIZED");
strategy.setDescription("默认优化策略");
strategy.setEstimatedCost(100.0);
break;
}

logger.info("ES索引开销策略确定: 策略={}, 操作类型={}, 预估开销={}, 开销等级={}",
strategy.getStrategy(), operationType, String.format("%.2f", strategy.getEstimatedCost()),
strategy.getCostLevel());

return strategy;
}

/**
* 计算创建开销
* @param mapping 映射
* @param settings 设置
* @return 创建开销
*/
private double calculateCreateCost(Map<String, Object> mapping, Map<String, Object> settings) {
double baseCost = 100.0;

if (mapping != null) {
baseCost += mapping.size() * 10.0;
}

if (settings != null) {
baseCost += settings.size() * 5.0;
}

return baseCost;
}

/**
* 计算更新开销
* @param mapping 映射
* @param settings 设置
* @return 更新开销
*/
private double calculateUpdateCost(Map<String, Object> mapping, Map<String, Object> settings) {
double baseCost = 50.0;

if (mapping != null) {
baseCost += mapping.size() * 5.0;
}

if (settings != null) {
baseCost += settings.size() * 3.0;
}

return baseCost;
}

/**
* 计算删除开销
* @return 删除开销
*/
private double calculateDeleteCost() {
return 20.0;
}

/**
* 计算重建开销
* @param mapping 映射
* @param settings 设置
* @return 重建开销
*/
private double calculateRebuildCost(Map<String, Object> mapping, Map<String, Object> settings) {
double baseCost = 200.0;

if (mapping != null) {
baseCost += mapping.size() * 15.0;
}

if (settings != null) {
baseCost += settings.size() * 10.0;
}

return baseCost;
}

/**
* 获取索引优化建议
* @param operationType 操作类型
* @param mapping 映射
* @param settings 设置
* @return 优化建议
*/
public ESIndexOptimizationAdvice getOptimizationAdvice(String operationType, Map<String, Object> mapping, Map<String, Object> settings) {
ESIndexOptimizationAdvice advice = new ESIndexOptimizationAdvice();
advice.setOperationType(operationType);
advice.setTimestamp(System.currentTimeMillis());

// 根据操作类型和复杂度提供建议
if ("CREATE".equals(operationType)) {
if (mapping != null && mapping.size() > 50) {
advice.setAdvice("LARGE_MAPPING");
advice.setDescription("映射字段过多,建议优化字段结构");
advice.setRecommendedAction("减少不必要的字段,使用嵌套对象");
} else {
advice.setAdvice("OPTIMAL_MAPPING");
advice.setDescription("映射结构合理");
advice.setRecommendedAction("保持当前结构");
}
} else if ("UPDATE".equals(operationType)) {
advice.setAdvice("INCREMENTAL_UPDATE");
advice.setDescription("建议使用增量更新");
advice.setRecommendedAction("分批更新,避免全量重建");
} else if ("REBUILD".equals(operationType)) {
advice.setAdvice("CAREFUL_REBUILD");
advice.setDescription("重建操作开销较大,请谨慎操作");
advice.setRecommendedAction("在低峰期执行,做好备份");
}

return advice;
}
}

3.4 ES索引优化建议类

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/**
* ES索引优化建议类
* @author 运维实战
*/
@Data
public class ESIndexOptimizationAdvice {

private String operationType;
private String advice;
private String description;
private String recommendedAction;
private long timestamp;

public ESIndexOptimizationAdvice() {
this.timestamp = System.currentTimeMillis();
}

/**
* 获取建议等级
* @return 建议等级
*/
public String getAdviceLevel() {
if ("LARGE_MAPPING".equals(advice) || "CAREFUL_REBUILD".equals(advice)) {
return "HIGH";
} else if ("INCREMENTAL_UPDATE".equals(advice)) {
return "MEDIUM";
} else {
return "LOW";
}
}
}

4. ES索引开销控制器

4.1 ES索引开销REST控制器

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/**
* ES索引开销REST控制器
* @author 运维实战
*/
@RestController
@RequestMapping("/api/elasticsearch/index/cost")
public class ESIndexCostController {

@Autowired
private ESIndexCostService esIndexCostService;

@Autowired
private ESIndexCostMonitorService esIndexCostMonitorService;

@Autowired
private ESIndexCostOptimizeService esIndexCostOptimizeService;

private static final Logger logger = LoggerFactory.getLogger(ESIndexCostController.class);

/**
* 分析索引创建开销
* @param request 索引创建开销分析请求
* @return 索引创建开销分析结果
*/
@PostMapping("/create")
public ResponseEntity<ESIndexCostResult> analyzeIndexCreationCost(@RequestBody IndexCreationCostRequest request) {
try {
logger.info("接收到索引创建开销分析请求,索引: {}", request.getIndexName());

ESIndexCostResult result = esIndexCostService.analyzeIndexCreationCost(
request.getIndexName(), request.getMapping(), request.getSettings());

return ResponseEntity.ok(result);

} catch (Exception e) {
logger.error("索引创建开销分析失败", e);
return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
}
}

/**
* 分析索引更新开销
* @param request 索引更新开销分析请求
* @return 索引更新开销分析结果
*/
@PostMapping("/update")
public ResponseEntity<ESIndexCostResult> analyzeIndexUpdateCost(@RequestBody IndexUpdateCostRequest request) {
try {
logger.info("接收到索引更新开销分析请求,索引: {}", request.getIndexName());

ESIndexCostResult result = esIndexCostService.analyzeIndexUpdateCost(
request.getIndexName(), request.getUpdateMapping(), request.getUpdateSettings());

return ResponseEntity.ok(result);

} catch (Exception e) {
logger.error("索引更新开销分析失败", e);
return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
}
}

/**
* 分析索引删除开销
* @param request 索引删除开销分析请求
* @return 索引删除开销分析结果
*/
@PostMapping("/delete")
public ResponseEntity<ESIndexCostResult> analyzeIndexDeletionCost(@RequestBody IndexDeletionCostRequest request) {
try {
logger.info("接收到索引删除开销分析请求,索引: {}", request.getIndexName());

ESIndexCostResult result = esIndexCostService.analyzeIndexDeletionCost(request.getIndexName());

return ResponseEntity.ok(result);

} catch (Exception e) {
logger.error("索引删除开销分析失败", e);
return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
}
}

/**
* 分析索引重建开销
* @param request 索引重建开销分析请求
* @return 索引重建开销分析结果
*/
@PostMapping("/rebuild")
public ResponseEntity<ESIndexCostResult> analyzeIndexRebuildCost(@RequestBody IndexRebuildCostRequest request) {
try {
logger.info("接收到索引重建开销分析请求,索引: {}", request.getIndexName());

ESIndexCostResult result = esIndexCostService.analyzeIndexRebuildCost(
request.getIndexName(), request.getNewMapping(), request.getNewSettings());

return ResponseEntity.ok(result);

} catch (Exception e) {
logger.error("索引重建开销分析失败", e);
return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
}
}

/**
* 获取索引开销策略
* @param operationType 操作类型
* @param mapping 映射
* @param settings 设置
* @return 索引开销策略
*/
@PostMapping("/strategy")
public ResponseEntity<ESIndexCostStrategy> getIndexCostStrategy(
@RequestParam String operationType,
@RequestBody(required = false) Map<String, Object> mapping,
@RequestBody(required = false) Map<String, Object> settings) {
try {
ESIndexCostStrategy strategy = esIndexCostOptimizeService.getStrategy(operationType, mapping, settings);
return ResponseEntity.ok(strategy);
} catch (Exception e) {
logger.error("获取索引开销策略失败", e);
return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
}
}

/**
* 获取索引优化建议
* @param operationType 操作类型
* @param mapping 映射
* @param settings 设置
* @return 索引优化建议
*/
@PostMapping("/advice")
public ResponseEntity<ESIndexOptimizationAdvice> getIndexOptimizationAdvice(
@RequestParam String operationType,
@RequestBody(required = false) Map<String, Object> mapping,
@RequestBody(required = false) Map<String, Object> settings) {
try {
ESIndexOptimizationAdvice advice = esIndexCostOptimizeService.getOptimizationAdvice(operationType, mapping, settings);
return ResponseEntity.ok(advice);
} catch (Exception e) {
logger.error("获取索引优化建议失败", e);
return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
}
}

/**
* 获取索引开销监控指标
* @return 索引开销监控指标
*/
@GetMapping("/metrics")
public ResponseEntity<ESIndexCostMetrics> getIndexCostMetrics() {
try {
ESIndexCostMetrics metrics = esIndexCostMonitorService.getMetrics();
return ResponseEntity.ok(metrics);
} catch (Exception e) {
logger.error("获取索引开销监控指标失败", e);
return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
}
}
}

4.2 请求类定义

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/**
* 索引创建开销分析请求类
* @author 运维实战
*/
@Data
public class IndexCreationCostRequest {

private String indexName;
private Map<String, Object> mapping;
private Map<String, Object> settings;

public IndexCreationCostRequest() {}

public IndexCreationCostRequest(String indexName, Map<String, Object> mapping, Map<String, Object> settings) {
this.indexName = indexName;
this.mapping = mapping;
this.settings = settings;
}
}

/**
* 索引更新开销分析请求类
* @author 运维实战
*/
@Data
public class IndexUpdateCostRequest {

private String indexName;
private Map<String, Object> updateMapping;
private Map<String, Object> updateSettings;

public IndexUpdateCostRequest() {}

public IndexUpdateCostRequest(String indexName, Map<String, Object> updateMapping, Map<String, Object> updateSettings) {
this.indexName = indexName;
this.updateMapping = updateMapping;
this.updateSettings = updateSettings;
}
}

/**
* 索引删除开销分析请求类
* @author 运维实战
*/
@Data
public class IndexDeletionCostRequest {

private String indexName;

public IndexDeletionCostRequest() {}

public IndexDeletionCostRequest(String indexName) {
this.indexName = indexName;
}
}

/**
* 索引重建开销分析请求类
* @author 运维实战
*/
@Data
public class IndexRebuildCostRequest {

private String indexName;
private Map<String, Object> newMapping;
private Map<String, Object> newSettings;

public IndexRebuildCostRequest() {}

public IndexRebuildCostRequest(String indexName, Map<String, Object> newMapping, Map<String, Object> newSettings) {
this.indexName = indexName;
this.newMapping = newMapping;
this.newSettings = newSettings;
}
}

5. ES索引开销注解和AOP

5.1 ES索引开销注解

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/**
* ES索引开销注解
* @author 运维实战
*/
@Target({ElementType.METHOD, ElementType.TYPE})
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface ESIndexCost {

/**
* 索引名称
*/
String indexName() default "";

/**
* 操作类型
*/
String operationType() default "CREATE";

/**
* 是否启用开销监控
*/
boolean enableCostMonitoring() default true;

/**
* 是否启用开销优化
*/
boolean enableCostOptimization() default true;

/**
* 最大允许开销
*/
double maxAllowedCost() default 1000.0;

/**
* 操作失败时的消息
*/
String message() default "ES索引开销分析失败,请稍后重试";

/**
* 操作失败时的HTTP状态码
*/
int statusCode() default 500;
}

5.2 ES索引开销AOP切面

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/**
* ES索引开销AOP切面
* @author 运维实战
*/
@Aspect
@Component
public class ESIndexCostAspect {

@Autowired
private ESIndexCostService esIndexCostService;

@Autowired
private ESIndexCostMonitorService esIndexCostMonitorService;

@Autowired
private ESIndexCostOptimizeService esIndexCostOptimizeService;

private static final Logger logger = LoggerFactory.getLogger(ESIndexCostAspect.class);

/**
* ES索引开销切点
*/
@Pointcut("@annotation(esIndexCost)")
public void esIndexCostPointcut(ESIndexCost esIndexCost) {}

/**
* ES索引开销环绕通知
* @param joinPoint 连接点
* @param esIndexCost ES索引开销注解
* @return 执行结果
* @throws Throwable 异常
*/
@Around("esIndexCostPointcut(esIndexCost)")
public Object around(ProceedingJoinPoint joinPoint, ESIndexCost esIndexCost) throws Throwable {
String methodName = joinPoint.getSignature().getName();

try {
// 获取方法参数
Object[] args = joinPoint.getArgs();

// 查找索引参数
String indexName = esIndexCost.indexName();
String operationType = esIndexCost.operationType();

if (indexName != null && !indexName.isEmpty()) {
// 获取索引开销策略
ESIndexCostStrategy strategy = esIndexCostOptimizeService.getStrategy(operationType, null, null);

logger.info("ES索引开销分析开始: method={}, indexName={}, operationType={}, strategy={}",
methodName, indexName, operationType, strategy.getStrategy());

// 记录索引开销指标
esIndexCostMonitorService.recordIndexCost(indexName, operationType, strategy.getEstimatedCost());
}

// 执行原方法
return joinPoint.proceed();

} catch (Exception e) {
logger.error("ES索引开销分析处理异常: method={}", methodName, e);
throw new ESIndexCostException(esIndexCost.message(), esIndexCost.statusCode());
}
}
}

5.3 ES索引开销异常类

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/**
* ES索引开销异常类
* @author 运维实战
*/
public class ESIndexCostException extends RuntimeException {

private final int statusCode;

public ESIndexCostException(String message) {
super(message);
this.statusCode = 500;
}

public ESIndexCostException(String message, int statusCode) {
super(message);
this.statusCode = statusCode;
}

public ESIndexCostException(String message, Throwable cause) {
super(message, cause);
this.statusCode = 500;
}

public ESIndexCostException(String message, Throwable cause, int statusCode) {
super(message, cause);
this.statusCode = statusCode;
}

public int getStatusCode() {
return statusCode;
}
}

5.4 ES索引开销异常处理器

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/**
* ES索引开销异常处理器
* @author 运维实战
*/
@ControllerAdvice
public class ESIndexCostExceptionHandler {

private static final Logger logger = LoggerFactory.getLogger(ESIndexCostExceptionHandler.class);

/**
* 处理ES索引开销异常
* @param e 异常
* @return 错误响应
*/
@ExceptionHandler(ESIndexCostException.class)
public ResponseEntity<Map<String, Object>> handleESIndexCostException(ESIndexCostException e) {
logger.warn("ES索引开销异常: {}", e.getMessage());

Map<String, Object> response = new HashMap<>();
response.put("error", "ES_INDEX_COST_FAILED");
response.put("message", e.getMessage());
response.put("timestamp", System.currentTimeMillis());

return ResponseEntity.status(e.getStatusCode()).body(response);
}
}

6. 实际应用示例

6.1 使用ES索引开销注解的服务

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/**
* 使用ES索引开销注解的服务
* @author 运维实战
*/
@Service
public class ESIndexCostExampleService {

private static final Logger logger = LoggerFactory.getLogger(ESIndexCostExampleService.class);

/**
* 基础索引开销分析示例
* @param indexName 索引名称
* @param mapping 映射
* @param settings 设置
* @return 处理结果
*/
@ESIndexCost(indexName = "user_data", operationType = "CREATE", enableCostMonitoring = true,
maxAllowedCost = 500.0, message = "基础索引开销分析:操作失败")
public String basicIndexCostAnalysis(String indexName, Map<String, Object> mapping, Map<String, Object> settings) {
logger.info("执行基础索引开销分析示例,索引: {}", indexName);

// 模拟索引开销分析操作
try {
Thread.sleep(1000);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
}

return "基础索引开销分析完成,索引: " + indexName;
}

/**
* 大批量索引开销分析示例
* @param indexName 索引名称
* @param mapping 映射
* @param settings 设置
* @return 处理结果
*/
@ESIndexCost(indexName = "order_data", operationType = "CREATE", enableCostMonitoring = true,
maxAllowedCost = 2000.0, message = "大批量索引开销分析:操作失败")
public String largeIndexCostAnalysis(String indexName, Map<String, Object> mapping, Map<String, Object> settings) {
logger.info("执行大批量索引开销分析示例,索引: {}", indexName);

// 模拟大批量索引开销分析操作
try {
Thread.sleep(2000);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
}

return "大批量索引开销分析完成,索引: " + indexName;
}

/**
* 索引更新开销分析示例
* @param indexName 索引名称
* @param updateMapping 更新映射
* @param updateSettings 更新设置
* @return 处理结果
*/
@ESIndexCost(indexName = "product_data", operationType = "UPDATE", enableCostMonitoring = true,
maxAllowedCost = 1000.0, message = "索引更新开销分析:操作失败")
public String updateIndexCostAnalysis(String indexName, Map<String, Object> updateMapping, Map<String, Object> updateSettings) {
logger.info("执行索引更新开销分析示例,索引: {}", indexName);

// 模拟索引更新开销分析操作
try {
Thread.sleep(1500);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
}

return "索引更新开销分析完成,索引: " + indexName;
}
}

6.2 ES索引开销测试控制器

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/**
* ES索引开销测试控制器
* @author 运维实战
*/
@RestController
@RequestMapping("/api/elasticsearch/index/cost/test")
public class ESIndexCostTestController {

@Autowired
private ESIndexCostExampleService exampleService;

@Autowired
private ESIndexCostService esIndexCostService;

@Autowired
private ESIndexCostMonitorService esIndexCostMonitorService;

@Autowired
private ESIndexCostOptimizeService esIndexCostOptimizeService;

private static final Logger logger = LoggerFactory.getLogger(ESIndexCostTestController.class);

/**
* 基础索引开销分析测试
* @param indexName 索引名称
* @return 测试结果
*/
@GetMapping("/basic")
public ResponseEntity<Map<String, String>> testBasicIndexCostAnalysis(@RequestParam String indexName) {
try {
// 生成测试映射和设置
Map<String, Object> mapping = generateTestMapping();
Map<String, Object> settings = generateTestSettings();

String result = exampleService.basicIndexCostAnalysis(indexName, mapping, settings);

Map<String, String> response = new HashMap<>();
response.put("status", "SUCCESS");
response.put("result", result);
response.put("timestamp", String.valueOf(System.currentTimeMillis()));

return ResponseEntity.ok(response);

} catch (ESIndexCostException e) {
logger.warn("基础索引开销分析测试失败: {}", e.getMessage());
return ResponseEntity.status(e.getStatusCode()).build();
} catch (Exception e) {
logger.error("基础索引开销分析测试失败", e);
return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
}
}

/**
* 大批量索引开销分析测试
* @param indexName 索引名称
* @return 测试结果
*/
@GetMapping("/large")
public ResponseEntity<Map<String, String>> testLargeIndexCostAnalysis(@RequestParam String indexName) {
try {
// 生成测试映射和设置
Map<String, Object> mapping = generateTestMapping();
Map<String, Object> settings = generateTestSettings();

String result = exampleService.largeIndexCostAnalysis(indexName, mapping, settings);

Map<String, String> response = new HashMap<>();
response.put("status", "SUCCESS");
response.put("result", result);
response.put("timestamp", String.valueOf(System.currentTimeMillis()));

return ResponseEntity.ok(response);

} catch (ESIndexCostException e) {
logger.warn("大批量索引开销分析测试失败: {}", e.getMessage());
return ResponseEntity.status(e.getStatusCode()).build();
} catch (Exception e) {
logger.error("大批量索引开销分析测试失败", e);
return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
}
}

/**
* 索引更新开销分析测试
* @param indexName 索引名称
* @return 测试结果
*/
@GetMapping("/update")
public ResponseEntity<Map<String, String>> testUpdateIndexCostAnalysis(@RequestParam String indexName) {
try {
// 生成测试更新映射和设置
Map<String, Object> updateMapping = generateTestUpdateMapping();
Map<String, Object> updateSettings = generateTestUpdateSettings();

String result = exampleService.updateIndexCostAnalysis(indexName, updateMapping, updateSettings);

Map<String, String> response = new HashMap<>();
response.put("status", "SUCCESS");
response.put("result", result);
response.put("timestamp", String.valueOf(System.currentTimeMillis()));

return ResponseEntity.ok(response);

} catch (ESIndexCostException e) {
logger.warn("索引更新开销分析测试失败: {}", e.getMessage());
return ResponseEntity.status(e.getStatusCode()).build();
} catch (Exception e) {
logger.error("索引更新开销分析测试失败", e);
return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
}
}

/**
* 获取索引开销策略
* @param operationType 操作类型
* @return 索引开销策略
*/
@GetMapping("/strategy/{operationType}")
public ResponseEntity<ESIndexCostStrategy> getIndexCostStrategy(@PathVariable String operationType) {
try {
ESIndexCostStrategy strategy = esIndexCostOptimizeService.getStrategy(operationType, null, null);
return ResponseEntity.ok(strategy);
} catch (Exception e) {
logger.error("获取索引开销策略失败", e);
return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
}
}

/**
* 获取索引开销监控指标
* @return 索引开销监控指标
*/
@GetMapping("/metrics")
public ResponseEntity<ESIndexCostMetrics> getIndexCostMetrics() {
try {
ESIndexCostMetrics metrics = esIndexCostMonitorService.getMetrics();
return ResponseEntity.ok(metrics);
} catch (Exception e) {
logger.error("获取索引开销监控指标失败", e);
return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
}
}

/**
* 生成测试映射
* @return 测试映射
*/
private Map<String, Object> generateTestMapping() {
Map<String, Object> mapping = new HashMap<>();
Map<String, Object> properties = new HashMap<>();

Map<String, Object> nameField = new HashMap<>();
nameField.put("type", "text");
properties.put("name", nameField);

Map<String, Object> ageField = new HashMap<>();
ageField.put("type", "integer");
properties.put("age", ageField);

Map<String, Object> emailField = new HashMap<>();
emailField.put("type", "keyword");
properties.put("email", emailField);

mapping.put("properties", properties);
return mapping;
}

/**
* 生成测试设置
* @return 测试设置
*/
private Map<String, Object> generateTestSettings() {
Map<String, Object> settings = new HashMap<>();
Map<String, Object> index = new HashMap<>();

index.put("number_of_shards", 3);
index.put("number_of_replicas", 1);
index.put("refresh_interval", "1s");

settings.put("index", index);
return settings;
}

/**
* 生成测试更新映射
* @return 测试更新映射
*/
private Map<String, Object> generateTestUpdateMapping() {
Map<String, Object> mapping = new HashMap<>();
Map<String, Object> properties = new HashMap<>();

Map<String, Object> descriptionField = new HashMap<>();
descriptionField.put("type", "text");
properties.put("description", descriptionField);

mapping.put("properties", properties);
return mapping;
}

/**
* 生成测试更新设置
* @return 测试更新设置
*/
private Map<String, Object> generateTestUpdateSettings() {
Map<String, Object> settings = new HashMap<>();
Map<String, Object> index = new HashMap<>();

index.put("refresh_interval", "5s");

settings.put("index", index);
return settings;
}
}

7. 总结

7.1 ES建立索引开销最佳实践

  1. 合理设计索引结构: 优化索引映射和设置减少开销
  2. 选择合适的操作策略: 根据业务需求选择合适的索引操作策略
  3. 监控索引开销: 实时监控索引操作开销和性能指标
  4. 动态调整参数: 根据监控数据动态调整索引参数
  5. 异常处理: 实现完善的异常处理和用户友好提示

7.2 性能优化建议

  • 索引结构优化: 合理设计索引映射和设置
  • 分片策略: 优化分片数量和副本数量
  • 压缩优化: 使用合适的压缩算法减少存储开销
  • 刷新优化: 调整刷新间隔平衡性能和数据一致性
  • 批量操作: 使用批量操作减少网络开销

7.3 运维管理要点

  • 实时监控: 监控索引操作开销和性能指标
  • 动态调整: 根据负载情况动态调整索引参数
  • 异常处理: 建立异常处理和告警机制
  • 日志管理: 完善日志记录和分析
  • 成本控制: 根据监控数据优化索引成本

通过本文的ES建立索引的开销Java实战指南,您可以掌握ES索引开销分析的原理、实现方法、性能优化技巧以及在企业级应用中的最佳实践,构建高效、稳定的Elasticsearch索引管理系统!