公司申请网站建设申请理由搜索引擎营销的基本方法

1、filter过滤语法

1.1 精准匹配

• literal_or ： tagv的过滤规则: 精确匹配多项迭代值，多项迭代值以’|'分隔，大小写敏感

• iliteral_or： tagv的过滤规则: 精确匹配多项迭代值，多项迭代值以’|'分隔，忽略大小写

1.2 正则匹配

• regexp： tagv的过滤规则: 正则表达式匹配
• OpenTSDB的正则表达式语法可能与其他数据库不同

1）匹配出以 XX开头

例如，要过滤出字符串以"ab_123"开头的数据，如下：

{"type": "regexp","tagk": "<标签键>","filter": "^(str_pre)","groupBy": false
}

{"type": "regexp","tagk": "app_id","filter": "^(ab_123)","groupBy": false
}

<标签键>是过滤的标签键，正则表达式，^(ab_123)使用了负向前瞻断言(ab_123)，表示以"ab_123"开头的字符串。

2. 匹配出 以XX开头 或以YY开头

例如，要过滤出字符串以"ab_123"开头或以"ab_666"的数据，如下：

{"type": "regexp","tagk": "<标签键>","filter": "^(str_pre)","groupBy": false
}

{"type": "regexp","tagk": "app_id","filter": "^(ab_123|ab_666)","groupBy": false
}

<标签键>是过滤的标签键，正则表达式，^(ab_123|ab_666)使用了括号和管道符合，表示以"ab_123"或"ab_666"开头的字符串

3）匹配出 不以 XX开头

例如，要过滤出字符串不以"ab_123"或"ab_666"开头的数据，如下：

{"type": "regexp","tagk": "<标签键>","filter": "^(?!str_pre)","groupBy": false
}

{"type": "regexp","tagk": "app_id","filter": "^(?!ab_123|ab_666)","groupBy": false
}

<标签键>是过滤的标签键，正则表达式，^(?!ab_123|ab_666)使用了负向前瞻断言(?!ab_123|ab_666)，表示不以"ab_123"或""ab_666"开头的字符串。

1.3 通配符匹配

• wildcard： tagv的过滤规则: 通配符匹配，大小写敏感
• iwildcard： tagv的过滤规则: 通配符匹配，忽略大小写
• not_literal_or： tagv的过滤规则: 通配符取非匹配，大小写敏感
• not_iliteral_or： tagv的过滤规则: 通配符取非匹配，忽略大小写

完整示例

1、 展示应用app的CPU利用率监控

$app_id 为变量，可以写静态，也可以动态

{"time": {"aggregator": "sum","granularity": "20s"},"filters": [{"tags": [{"type": "iliteral_or","tagk": "app_id","filter": "$app_id","groupBy": false},{"type": "iliteral_or","tagk": "priority","filter": "Product","groupBy": false}],"id": "app_info_i"}],"metrics": [{"id": "app_used","metric": "docker.cpu.used","filter": "app_info_i"},{"id": "app_quota","metric": "docker.cpu.quota","filter": "app_info_i"}],"expressions": [{"id": "app_cpu_rate","expr": "(app_used/app_quota)*100"}],"outputs": [{"id": "app_cpu_rate","alias": "XXXCPU利用率"}]
}

2）展示应用app的在线核数

{"time": {"aggregator": "sum","granularity": "1m"},"limit": "avg:top:500","filters": [{"tags": [{"type": "iliteral_or","tagk": "app_id","filter": "$app_id","groupBy": false},{"type": "iliteral_or","tagk": "priority","filter": "Product","groupBy": false}],"id": "app_info_i"}],"metrics": [{"id": "app_quota","metric": "docker.cpu.quota","filter": "app_info_i"}],"expressions": [{"id": "quota_e","expr": "app_quota/100"}],"outputs": [{"id": "quota_e","alias": "cpu(core)"}]
}