1. 接口描述
接口请求域名: apm.tencentcloudapi.com 。
获取指标数据通用接口。用户根据需要上送请求参数,返回对应的指标数据。
接口调用频率限制为:20次/秒,1200次/分钟。单请求的数据点数限制为1440个。
默认接口请求频率限制:20次/秒。
2. 输入参数
以下请求参数列表仅列出了接口请求参数和部分公共参数,完整公共参数列表见 公共请求参数。
参数名称 | 必选 | 类型 | 描述 |
---|---|---|---|
Action | 是 | String | 公共参数,本接口取值:DescribeGeneralMetricData。 |
Version | 是 | String | 公共参数,本接口取值:2021-06-22。 |
Region | 是 | String | 公共参数,详见产品支持的 地域列表。 |
Metrics.N | 是 | Array of String | 需要查询的指标名称,不可自定义输入,详情请见。 示例值:["request_count"、“duration”] |
InstanceId | 是 | String | 业务系统 ID 示例值:apm-ylTJfTSbn |
ViewName | 是 | String | 视图名称,不可自定义输入。详情请见。 示例值:service_metric |
Filters.N | 是 | Array of GeneralFilter | 要过滤的维度信息,不同视图有对应的指标维度,详情请见。 |
GroupBy.N | 否 | Array of String | 聚合维度,不同视图有对应的指标维度,详情请见。 示例值:["service.name"、"span.kind"] |
StartTime | 否 | Integer | 起始时间的时间戳,支持查询30天内的指标数据。(单位:秒) 示例值:1617123538 |
EndTime | 否 | Integer | 结束时间的时间戳,支持查询30天内的指标数据。(单位:秒) 示例值:1617123538 |
Period | 否 | Integer | 是否按固定时间跨度聚合,填入1及大于1的值按1处理,不填按0处理。 - 填入0,则计算开始时间到截止时间的指标数据。 - 填入1,则会按照开始时间到截止时间的时间跨度选择聚合粒度: - 时间跨度 (0,12) 小时,则按一分钟粒度聚合。 - 时间跨度 [12,48] 小时,则按五分钟粒度聚合。 - 时间跨度 (48, +∞) 小时,则按一小时粒度聚合。 示例值:60 |
OrderBy | 否 | OrderBy | 对查询指标进行排序: Key 填写云 API 指标名称,详情请见。 Value 填写排序方式: - asc:对查询指标进行升序排序 - desc:对查询指标进行降序排序 示例值:{ "Key": "duration", "Value": "desc" |
PageSize | 否 | Integer | 查询指标的限制条数,目前最多展示50条数据,PageSize取值为1-50,上送PageSize则根据PageSize的值展示限制条数。 示例值:5 |
3. 输出参数
参数名称 | 类型 | 描述 |
---|---|---|
Records | Array of Line | 指标结果集 |
RequestId | String | 唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。 |
4. 示例
示例1 查询1分钟聚合粒度的 service_metric 指标数据示例
该示例查询业务系统为 apm-059oXBfTL,按照 service.name(应用名)、span.kind(客户端/服务端视角)为维度过滤,以 service.name(应用名)、span.kind(客户端/服务端视角)进行聚合,查找开始时间-终止时间内以一分钟为聚合粒度的 request_count(请求数量)、error_request_count(错误请求数量)、duration_avg(平均响应时间)、slow_request_count(慢请求数量)、duration_p50(耗时 p50)的指标数据。
输入示例
POST / HTTP/1.1
Host: apm.tencentcloudapi.com
Content-Type: application/json
X-TC-Action: DescribeGeneralMetricData
<公共请求参数>
{
"Filters": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"ViewName": "service_metric",
"InstanceId": "apm-059oXBfTL",
"Period": 60,
"Metrics": [
"request_count",
"error_request_count",
"duration_avg",
"slow_request_count",
"duration_p50"
],
"StartTime": 1734415200,
"EndTime": 1734418800,
"GroupBy": [
"service.name",
"span.kind"
]
}
输出示例
{
"Response": {
"Records": [
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "request_count",
"MetricNameCN": "总请求数",
"TimeSerial": [
1734415200,
1734415260,
1734415320,
1734415380,
1734415440,
1734415500,
1734415560,
1734415620,
1734415680,
1734415740,
1734415800,
1734415860,
1734415920,
1734415980,
1734416040,
1734416100,
1734416160,
1734416220,
1734416280,
1734416340,
1734416400,
1734416460,
1734416520,
1734416580,
1734416640,
1734416700,
1734416760,
1734416820,
1734416880,
1734416940,
1734417000,
1734417060,
1734417120,
1734417180,
1734417240,
1734417300,
1734417360,
1734417420,
1734417480,
1734417540,
1734417600,
1734417660,
1734417720,
1734417780,
1734417840,
1734417900,
1734417960,
1734418020,
1734418080,
1734418140,
1734418200,
1734418260,
1734418320,
1734418380,
1734418440,
1734418500,
1734418560,
1734418620,
1734418680,
1734418740
],
"DataSerial": [
22,
32,
22,
22,
22,
22,
22,
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22,
22,
22,
22,
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22,
32,
22,
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26,
28,
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22,
32,
12,
22,
22,
32,
22,
22,
22,
22,
22,
22,
22,
22,
22,
32,
22,
12,
22,
22
]
},
{
"Tags": [
{
"Key": "span.kind",
"Value": "client"
},
{
"Key": "service.name",
"Value": "ot-java-order-service"
}
],
"MetricName": "error_request_count",
"MetricNameCN": "异常数量",
"TimeSerial": [
1734415200,
1734415260,
1734415320,
1734415380,
1734415440,
1734415500,
1734415560,
1734415620,
1734415680,
1734415740,
1734415800,
1734415860,
1734415920,
1734415980,
1734416040,
1734416100,
1734416160,
1734416220,
1734416280,
1734416340,
1734416400,
1734416460,
1734416520,
1734416580,
1734416640,
1734416700,
1734416760,
1734416820,
1734416880,
1734416940,
1734417000,
1734417060,
1734417120,
1734417180,
1734417240,
1734417300,
1734417360,
1734417420,
1734417480,
1734417540,
1734417600,
1734417660,
1734417720,
1734417780,
1734417840,
1734417900,
1734417960,
1734418020,
1734418080,
1734418140,
1734418200,
1734418260,
1734418320,
1734418380,
1734418440,
1734418500,
1734418560,
1734418620,
1734418680,
1734418740
],
"DataSerial": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
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0,
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0,
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0
]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "duration_avg",
"MetricNameCN": "平均响应时间",
"TimeSerial": [
1734415200,
1734415260,
1734415320,
1734415380,
1734415440,
1734415500,
1734415560,
1734415620,
1734415680,
1734415740,
1734415800,
1734415860,
1734415920,
1734415980,
1734416040,
1734416100,
1734416160,
1734416220,
1734416280,
1734416340,
1734416400,
1734416460,
1734416520,
1734416580,
1734416640,
1734416700,
1734416760,
1734416820,
1734416880,
1734416940,
1734417000,
1734417060,
1734417120,
1734417180,
1734417240,
1734417300,
1734417360,
1734417420,
1734417480,
1734417540,
1734417600,
1734417660,
1734417720,
1734417780,
1734417840,
1734417900,
1734417960,
1734418020,
1734418080,
1734418140,
1734418200,
1734418260,
1734418320,
1734418380,
1734418440,
1734418500,
1734418560,
1734418620,
1734418680,
1734418740
],
"DataSerial": [
191.5860133181818,
191.2110746363636,
191.23246599999996,
191.5040949090909,
191.934274,
192.05015977272723,
191.4917418636364,
191.7598401818182,
191.47329104545454,
191.35408840909093,
191.7695753181818,
192.1501132727273,
191.6614135,
191.72522395454544,
193.92501624242422,
209.9224584090909,
192.50587436363637,
193.14908313636363,
200.8337476363636,
192.21551695454545,
191.87317959090907,
191.85476931818184,
192.0314575909091,
192.14624168181817,
192.0624055,
192.35865707575758,
191.87331737878793,
191.806969,
192.35163881818187,
192.29478813636362,
192.3707790454545,
191.8557721363636,
191.59646177272725,
191.55687904545456,
191.59595163636365,
191.84944554545453,
191.78630649999997,
191.91973590909092,
191.90514081818182,
191.9165850909091,
191.98103199999997,
191.98323287878785,
193.0803381818182,
192.14093727272729,
192.24286899999998,
192.6753041818182,
192.2717468636364,
192.41461836363635,
192.3725805,
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191.85852840909092,
191.86218731818178,
191.6467590454545,
191.52699904545452,
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192.2197160909091,
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191.98860699999997,
224.0602859090909,
192.05223709090907
]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "slow_request_count",
"MetricNameCN": "慢调用",
"TimeSerial": [
1734415200,
1734415260,
1734415320,
1734415380,
1734415440,
1734415500,
1734415560,
1734415620,
1734415680,
1734415740,
1734415800,
1734415860,
1734415920,
1734415980,
1734416040,
1734416100,
1734416160,
1734416220,
1734416280,
1734416340,
1734416400,
1734416460,
1734416520,
1734416580,
1734416640,
1734416700,
1734416760,
1734416820,
1734416880,
1734416940,
1734417000,
1734417060,
1734417120,
1734417180,
1734417240,
1734417300,
1734417360,
1734417420,
1734417480,
1734417540,
1734417600,
1734417660,
1734417720,
1734417780,
1734417840,
1734417900,
1734417960,
1734418020,
1734418080,
1734418140,
1734418200,
1734418260,
1734418320,
1734418380,
1734418440,
1734418500,
1734418560,
1734418620,
1734418680,
1734418740
],
"DataSerial": [
2,
3,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
3,
2,
2,
2,
2,
2,
2,
2,
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2,
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3,
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]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "duration_p50",
"MetricNameCN": "P50 响应时间",
"TimeSerial": [
1734415200,
1734415260,
1734415320,
1734415380,
1734415440,
1734415500,
1734415560,
1734415620,
1734415680,
1734415740,
1734415800,
1734415860,
1734415920,
1734415980,
1734416040,
1734416100,
1734416160,
1734416220,
1734416280,
1734416340,
1734416400,
1734416460,
1734416520,
1734416580,
1734416640,
1734416700,
1734416760,
1734416820,
1734416880,
1734416940,
1734417000,
1734417060,
1734417120,
1734417180,
1734417240,
1734417300,
1734417360,
1734417420,
1734417480,
1734417540,
1734417600,
1734417660,
1734417720,
1734417780,
1734417840,
1734417900,
1734417960,
1734418020,
1734418080,
1734418140,
1734418200,
1734418260,
1734418320,
1734418380,
1734418440,
1734418500,
1734418560,
1734418620,
1734418680,
1734418740
],
"DataSerial": [
10,
10,
9.375,
14,
14,
14,
10,
9.375,
9.285714285714285,
9.166666666666668,
10,
14,
14,
14,
15.714285714285714,
14.444444444444445,
14,
14,
14.444444444444445,
14,
14,
14,
14,
14,
14,
13.333333333333332,
16.153846153846153,
14,
14,
14,
14,
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14,
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14,
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14,
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15.333333333333332,
16.666666666666664,
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14,
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14,
14,
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14,
15.333333333333332,
14,
10,
14.444444444444445,
14
]
}
],
"RequestId": "test-test-test"
}
}
示例2 查询起始到终止时间内统计 service_metric 指标数据示例
该示例查询业务系统为 apm-059oXBfTL,按照 service.name(应用名)、span.kind(客户端/服务端视角)为维度过滤,以 service.name(应用名)、span.kind(客户端/服务端视角)进行聚合,查找开始时间-终止时间内以一分钟为聚合粒度的 request_count(请求数量)、error_request_count(错误请求数量)、duration_avg(平均响应时间)、slow_request_count(慢请求数量)、duration_p50(耗时 p50)的指标数据。
输入示例
POST / HTTP/1.1
Host: apm.tencentcloudapi.com
Content-Type: application/json
X-TC-Action: DescribeGeneralMetricData
<公共请求参数>
{
"Filters": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"ViewName": "service_metric",
"InstanceId": "apm-059oXBfTL",
"Metrics": [
"request_count",
"error_request_count",
"duration_avg",
"slow_request_count",
"duration_p50"
],
"StartTime": 1734415200,
"EndTime": 1734418800,
"GroupBy": [
"service.name",
"span.kind"
]
}
输出示例
{
"Response": {
"Records": [
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "request_count",
"MetricNameCN": "总请求数",
"TimeSerial": [],
"DataSerial": [
1360
]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "error_request_count",
"MetricNameCN": "异常数量",
"TimeSerial": [],
"DataSerial": [
0
]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "duration_avg",
"MetricNameCN": "平均响应时间",
"TimeSerial": [],
"DataSerial": [
192.96957006641412
]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "slow_request_count",
"MetricNameCN": "慢调用",
"TimeSerial": [],
"DataSerial": [
124
]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "duration_p50",
"MetricNameCN": "P50 响应时间",
"TimeSerial": [],
"DataSerial": [
13.443708609271523
]
}
],
"RequestId": "test-test-test"
}
}
示例3 查询1分钟聚合粒度的 sql_metric 指标数据示例
该示例查询业务系统为 apm-059oXBfTL,按照 service.name(应用名)为维度过滤,以 service.name(应用名)进行聚合,查找开始时间-终止时间内以一分钟为聚合粒度的 error_request_count(错误请求数量)、duration_avg(平均响应时间)的指标数据。
输入示例
POST / HTTP/1.1
Host: apm.tencentcloudapi.com
Content-Type: application/json
X-TC-Action: DescribeGeneralMetricData
<公共请求参数>
{
"Filters": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
}
],
"ViewName": "sql_metric",
"InstanceId": "apm-059oXBfTL",
"Period": 60,
"Metrics": [
"error_request_count",
"duration_avg"
],
"StartTime": 1734415200,
"EndTime": 1734418800,
"GroupBy": [
"service.name"
]
}
输出示例
{
"Response": {
"Records": [
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
}
],
"MetricName": "error_request_count",
"MetricNameCN": "错误数",
"TimeSerial": [
1734415200,
1734415260,
1734415320,
1734415380,
1734415440,
1734415500,
1734415560,
1734415620,
1734415680,
1734415740,
1734415800,
1734415860,
1734415920,
1734415980,
1734416040,
1734416100,
1734416160,
1734416220,
1734416280,
1734416340,
1734416400,
1734416460,
1734416520,
1734416580,
1734416640,
1734416700,
1734416760,
1734416820,
1734416880,
1734416940,
1734417000,
1734417060,
1734417120,
1734417180,
1734417240,
1734417300,
1734417360,
1734417420,
1734417480,
1734417540,
1734417600,
1734417660,
1734417720,
1734417780,
1734417840,
1734417900,
1734417960,
1734418020,
1734418080,
1734418140,
1734418200,
1734418260,
1734418320,
1734418380,
1734418440,
1734418500,
1734418560,
1734418620,
1734418680,
1734418740
],
"DataSerial": [
0,
0,
0,
0,
0,
0,
0,
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]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
}
],
"MetricName": "duration_avg",
"MetricNameCN": "平均响应时间",
"TimeSerial": [
1734415200,
1734415260,
1734415320,
1734415380,
1734415440,
1734415500,
1734415560,
1734415620,
1734415680,
1734415740,
1734415800,
1734415860,
1734415920,
1734415980,
1734416040,
1734416100,
1734416160,
1734416220,
1734416280,
1734416340,
1734416400,
1734416460,
1734416520,
1734416580,
1734416640,
1734416700,
1734416760,
1734416820,
1734416880,
1734416940,
1734417000,
1734417060,
1734417120,
1734417180,
1734417240,
1734417300,
1734417360,
1734417420,
1734417480,
1734417540,
1734417600,
1734417660,
1734417720,
1734417780,
1734417840,
1734417900,
1734417960,
1734418020,
1734418080,
1734418140,
1734418200,
1734418260,
1734418320,
1734418380,
1734418440,
1734418500,
1734418560,
1734418620,
1734418680,
1734418740
],
"DataSerial": [
504.4455225,
504.49955074999997,
504.50165175000006,
504.55699425,
504.5483053749999,
504.547519,
504.73789837500004,
504.46199262500005,
504.1922,
504.22497787500004,
504.18011225000004,
504.04929475,
504.14939112499997,
504.45689225,
504.4441259166667,
504.4853475,
504.55031125,
504.458504875,
504.49732837499994,
504.50629599999996,
504.439337,
504.272122,
504.267848625,
504.28821525,
504.268522875,
504.28563437500003,
504.25491391666674,
504.20538062500003,
504.54045425000004,
504.67349375000003,
504.71599025,
504.54132337499993,
504.69503825,
504.74425037500004,
504.637164375,
504.62155600000006,
504.628113,
505.07725949999997,
504.65562800000004,
504.443061375,
504.420146125,
504.41736325000005,
507.28285875,
504.59916025,
504.50750687499993,
504.67656166666666,
504.687698625,
504.7468005,
504.728723,
504.71881125,
504.6750935,
504.45997087499995,
504.48766912499997,
504.5063645,
504.670277625,
504.88526525,
505.09475625,
505.13066475,
505.103745375,
505.101275
]
}
],
"RequestId": "test-test-test"
}
}
示例4 查询起始到终止时间内统计 sql_metric 的 duration_avg(耗时时间)指标数据示例
该示例查询业务系统为apm-059oXBfTL,按照 db.instance(数据库名称)为维度过滤,以 service.name(应用名)、db.statement(执行语句)为维度进行聚合,查找开始时间-终止时间内 top5 的 duration_avg(耗时(ms))的指标数据。
输入示例
POST / HTTP/1.1
Host: apm.tencentcloudapi.com
Content-Type: application/json
X-TC-Action: DescribeGeneralMetricData
<公共请求参数>
{
"Filters": [
{
"Key": "db.instance",
"Value": "mock_project_db"
}
],
"ViewName": "sql_metric",
"InstanceId": "apm-059oXBfTL",
"Metrics": [
"duration_avg"
],
"StartTime": 1734415200,
"EndTime": 1734418800,
"GroupBy": [
"service.name",
"db.statement"
],
"OrderBy": {
"Key": "sql_duration_avg",
"Value": "desc"
},
"PageSize": 5
}
输出示例
{
"Response": {
"Records": [
{
"Tags": [
{
"Key": "db.statement",
"Value": "select sleep(?)"
},
{
"Key": "service.name",
"Value": "ot-java-order-service"
}
],
"MetricName": "duration_avg",
"MetricNameCN": "平均响应时间",
"TimeSerial": [],
"DataSerial": [
2005.583661869444
]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-stock-service"
},
{
"Key": "db.statement",
"Value": "select dept, count(dept) as total from mock_project_userinfo"
}
],
"MetricName": "duration_avg",
"MetricNameCN": "平均响应时间",
"TimeSerial": [],
"DataSerial": [
5.746467460185185
]
},
{
"Tags": [
{
"Key": "db.statement",
"Value": "select dept, count(dept) as total from mock_project_userinfo"
},
{
"Key": "service.name",
"Value": "ot-java-user-service"
}
],
"MetricName": "duration_avg",
"MetricNameCN": "平均响应时间",
"TimeSerial": [],
"DataSerial": [
5.719407256481479
]
},
{
"Tags": [
{
"Key": "db.statement",
"Value": "select * from mock_project_userinfo"
},
{
"Key": "service.name",
"Value": "ot-java-order-service"
}
],
"MetricName": "duration_avg",
"MetricNameCN": "平均响应时间",
"TimeSerial": [],
"DataSerial": [
5.677464627777778
]
},
{
"Tags": [
{
"Key": "db.statement",
"Value": "select * from mock_project_userinfo"
},
{
"Key": "service.name",
"Value": "ot-java-delivery-service"
}
],
"MetricName": "duration_avg",
"MetricNameCN": "平均响应时间",
"TimeSerial": [],
"DataSerial": [
5.636013505555556
]
},
{
"Tags": [
{
"Key": "db.statement",
"Value": "select * om un_exist_table limit ?"
},
{
"Key": "service.name",
"Value": "ot-java-delivery-service"
}
],
"MetricName": "duration_avg",
"MetricNameCN": "平均响应时间",
"TimeSerial": [],
"DataSerial": [
5.514262441666669
]
},
{
"Tags": [
{
"Key": "db.statement",
"Value": "select dept, count(dept) as total from mock_project_userinfo"
},
{
"Key": "service.name",
"Value": "ot-java-market-service"
}
],
"MetricName": "duration_avg",
"MetricNameCN": "平均响应时间",
"TimeSerial": [],
"DataSerial": [
5.44814345277778
]
}
],
"RequestId": "test-test-test"
}
}
5. 开发者资源
腾讯云 API 平台
腾讯云 API 平台 是综合 API 文档、错误码、API Explorer 及 SDK 等资源的统一查询平台,方便您从同一入口查询及使用腾讯云提供的所有 API 服务。
API Inspector
用户可通过 API Inspector 查看控制台每一步操作关联的 API 调用情况,并自动生成各语言版本的 API 代码,也可前往 API Explorer 进行在线调试。
SDK
云 API 3.0 提供了配套的开发工具集(SDK),支持多种编程语言,能更方便的调用 API。
- Tencent Cloud SDK 3.0 for Python: GitHub Gitee
- Tencent Cloud SDK 3.0 for Java: GitHub Gitee
- Tencent Cloud SDK 3.0 for PHP: GitHub Gitee
- Tencent Cloud SDK 3.0 for Go: GitHub Gitee
- Tencent Cloud SDK 3.0 for Node.js: GitHub Gitee
- Tencent Cloud SDK 3.0 for .NET: GitHub Gitee
- Tencent Cloud SDK 3.0 for C++: GitHub Gitee
- Tencent Cloud SDK 3.0 for Ruby: GitHub Gitee
命令行工具
6. 错误码
以下仅列出了接口业务逻辑相关的错误码,其他错误码详见 公共错误码。
错误码 | 描述 |
---|---|
FailedOperation | 操作失败。 |
FailedOperation.AppIdNotMatchInstanceInfo | AppID 和业务系统信息不匹配。 |
FailedOperation.InstanceIdIsEmpty | 业务系统 ID 为空。 |
FailedOperation.InstanceNotFound | APM 业务系统不存在。 |
FailedOperation.InvalidInstanceID | 非法业务系统 ID。 |
FailedOperation.MetricFiltersLackParams | 查询指标类数据查询条件缺少过滤参数。 |
FailedOperation.QueryTimeIntervalIsNotSupported | 查询时间区间不支持。 |
FailedOperation.ViewNameNotExistOrIllegal | 视图名不存在或非法。 |
InvalidParameter.FiltersFieldsNotExistOrIllegal | Filters 中的字段不存在或非法。 |
InvalidParameter.GroupByFieldsNotExistOrIllegal | GroupBy 中的字段不存在或非法。 |
InvalidParameter.MetricFiltersLackParams | Filters 中必须存在 service.name 字段,否则会报错。 |
InvalidParameter.MetricsFieldNotExistOrIllegal | Metrics 中的字段不存在或非法。 |
InvalidParameter.MetricsFieldsNotAllowEmpty | Metrics 中不允许为空。 |
InvalidParameter.PeriodIsIllegal | Period不为空,0或60。 |
InvalidParameter.QueryTimeIntervalIsNotSupported | 查询时间不支持,最多只能查询最近30天的数据。 |
InvalidParameter.ViewNameNotExistOrIllegal | 视图名称不存在或非法。 |