{
  "units": {
    "queries": "次",
    "seconds": "秒",
    "milliseconds": "毫秒",
    "keys": "个 Key",
    "requests": "次请求",
    "ru": "RU"
  },
  "history": {
    "title": "SQL 性能历史",
    "empty": "暂无指标历史。",
    "observations": "{{count}} 个观测点",
    "view_all": "查看全部",
    "groups_aria": "指标历史分组",
    "source_value": "来源值",
    "latest": "最新值",
    "chart_aria": "{{label}}随异常发现观测时间的变化",
    "open_finding": "打开异常发现",
    "unknown_source": "未知来源",
    "fallback_description": "异常发现来源提供的数值证据。"
  },
  "groups": {
    "activity": "SQL 活动",
    "activity_description": "各异常发现观测窗口中的通用负载与延迟证据。",
    "source_evidence": "其他来源证据",
    "source_evidence_description": "来源指标结构提供的其他数值证据。",
    "symptom_description": "异常发现来源与“{{code}}”症状直接关联的指标。"
  },
  "definitions": {
    "slow_count": { "label": "慢查询数", "description": "每个来源巡检窗口中观测到的慢执行次数。" },
    "total_latency_s": { "label": "总延迟", "description": "每个来源巡检窗口中的累计执行延迟。" },
    "max_latency_s": { "label": "最大延迟", "description": "每个来源巡检窗口中观测到的最差执行延迟。" },
    "avg_latency_s": { "label": "平均延迟", "description": "每个来源巡检窗口中观测到的平均执行延迟。" },
    "max_latency_ms": { "label": "最大延迟", "description": "每个来源巡检窗口中观测到的最差执行延迟。" },
    "total_keys": { "label": "扫描 Key 数", "description": "SQL 在每个来源巡检窗口中扫描的 Key 数。" },
    "process_keys": { "label": "处理 Key 数", "description": "SQL 在每个来源巡检窗口中处理的 Key 数。" },
    "request_count": { "label": "KV 请求数", "description": "每个来源巡检窗口中归因到该 SQL 的 KV 请求数。" },
    "sum_ru": { "label": "资源单元", "description": "每个来源巡检窗口中归因到该 SQL 的资源单元。" },
    "sql_tikv_high_cpu_affected_instances": { "label": "受影响 TiKV 实例", "description": "该 SQL 对 CPU 热点有显著贡献的 TiKV 实例数。" },
    "sql_tikv_high_cpu_affected_windows": { "label": "受影响时间窗口", "description": "检测到该 SQL 与 TiKV CPU 热点相关的时间窗口数。" },
    "sql_tikv_high_cpu_avg_topsql_share_percent": { "label": "平均 Top SQL CPU 占比", "description": "匹配窗口中该 SQL 的平均 CPU 贡献占比。" },
    "sql_tikv_high_cpu_matching_window_count": { "label": "匹配观测窗口", "description": "用于评估该 SQL 与 TiKV CPU 热点关联性的观测窗口数。" },
    "sql_tikv_high_cpu_max_topsql_share_percent": { "label": "最大 Top SQL CPU 占比", "description": "匹配窗口中该 SQL 最高的 CPU 贡献占比。" },
    "sql_tikv_high_cpu_total_topsql_cpu_seconds": { "label": "Top SQL CPU 总时长", "description": "匹配窗口中该 SQL 累计贡献的 CPU 时间。" },
    "sql_tikv_high_cpu_slow_log_count": { "label": "相关慢日志数", "description": "用于评估 TiKV CPU 热点贡献的该 SQL 慢日志数量。" },
    "tikv_cpu_max_percent": { "label": "TiKV 最高 CPU 使用率", "description": "相关观测窗口内 TiKV 实例的最高 CPU 使用率。" },
    "slowlog_max_latency_s": { "label": "最大执行延迟", "description": "巡检窗口内该 SQL 最慢一次执行的延迟。" },
    "slowlog_process_keys": { "label": "处理 Key 数", "description": "巡检窗口内该 SQL 实际处理的 Key 数。" },
    "slowlog_request_count": { "label": "KV 请求数", "description": "巡检窗口内该 SQL 发起的 KV 请求数。" },
    "slowlog_slow_count": { "label": "慢执行次数", "description": "巡检窗口内该 SQL 被记录为慢查询的次数。" },
    "slowlog_sum_ru": { "label": "资源单元消耗", "description": "巡检窗口内该 SQL 累计消耗的资源单元。" },
    "slowlog_total_keys": { "label": "扫描 Key 数", "description": "巡检窗口内该 SQL 扫描的 Key 总数。" },
    "slowlog_total_latency_s": { "label": "累计执行延迟", "description": "巡检窗口内该 SQL 所有慢执行的累计延迟。" },
    "extreme_avg_max_mem_bytes": { "label": "平均峰值内存", "description": "内存异常命中记录的平均峰值内存。" },
    "extreme_avg_query_time_s": { "label": "平均执行时间", "description": "延迟异常命中记录的平均执行时间。" },
    "extreme_hit_mem_records": { "label": "内存异常命中数", "description": "达到内存异常条件的慢日志记录数。" },
    "extreme_hit_query_time_records": { "label": "延迟异常命中数", "description": "达到执行时间异常条件的慢日志记录数。" },
    "extreme_hit_records": { "label": "异常命中记录数", "description": "至少命中一项极端指标条件的慢日志记录数。" },
    "extreme_max_max_mem_bytes": { "label": "最大峰值内存", "description": "内存异常命中记录中的最高峰值内存。" },
    "extreme_max_query_time_s": { "label": "最大执行时间", "description": "延迟异常命中记录中的最长执行时间。" }
  }
}