Domain name for API request: apm.intl.tencentcloudapi.com.
This API is a general API used to obtain metric data. Users submit request parameters as needed and receive the corresponding metric data.
The API call frequency is limited to 20 requests per second and 1200 requests per minute. The number of data points per request is limited to 1440.
A maximum of 20 requests can be initiated per second for this API.
The following request parameter list only provides API request parameters and some common parameters. For the complete common parameter list, see Common Request Parameters.
Parameter Name | Required | Type | Description |
---|---|---|---|
Action | Yes | String | Common Params. The value used for this API: DescribeGeneralMetricData. |
Version | Yes | String | Common Params. The value used for this API: 2021-06-22. |
Region | Yes | String | Common Params. For more information, please see the list of regions supported by the product. |
Metrics.N | Yes | Array of String | Metric name to be queried, which cannot be customized. (for details, see https://www.tencentcloud.com/document/product/248/101681?from_cn_redirect=1.). |
InstanceId | Yes | String | Business system id. |
ViewName | Yes | String | View name. the input cannot be customized. for details, see.. |
Filters.N | Yes | Array of GeneralFilter | The dimension information to be filtered; different views have corresponding metric dimensions. (for details, see https://www.tencentcloud.com/document/product/248/101681?from_cn_redirect=1.). |
GroupBy.N | No | Array of String | Aggregated dimension; different views have corresponding metric dimensions. (for details, see https://www.tencentcloud.com/document/product/248/101681?from_cn_redirect=1.). |
StartTime | No | Integer | The timestamp of the start time, supporting the query of metric data within 30 days. (unit: seconds). |
EndTime | No | Integer | The timestamp of the end time, supporting the query of metric data within 30 days. (unit: seconds). |
Period | No | Integer | Whether to aggregate by a fixed time span: enter 1 for values of 1 and greater, and 0 if not filled in. -If 0 is filled in, it calculates the metric data from the start time to the cutoff time. - if 1 is filled in, the aggregation granularity will be selected according to the time span from the start time to the deadline:. -If the time span is (0,12) hours, it is aggregated by one-minute granularity. -If the time span is [12,48] hours, it is aggregated at a five-minute granularity. -If the time span is (48, +∞) hours, it is aggregated at an hourly granularity. |
OrderBy | No | OrderBy | Sort query metrics. Key: enter the tencentcloud api metric name. for details, see . Value: specify the sorting method:. -Asc: sorts query metrics in ascending order. - desc: sort query metrics in descending order. |
PageSize | No | Integer | Maximum number of queried metrics. currently, up to 50 data entries can be displayed. the value range for pagesize is 1-50. submit pagesize to show the limited number based on the value of pagesize. |
Parameter Name | Type | Description |
---|---|---|
Records | Array of Line | Indicator result set. |
RequestId | String | The unique request ID, generated by the server, will be returned for every request (if the request fails to reach the server for other reasons, the request will not obtain a RequestId). RequestId is required for locating a problem. |
This example shows you how to query the business system apm-059oXBfTL, filter by dimensions of service.name (application name) and span.kind (client/server perspective), aggregate by service.name (application name) and span.kind (client/server perspective), and find metric data such as request_count (number of requests), error_request_count (number of error requests), duration_avg (average response time), slow_request_count (number of slow requests), and duration_p50 (time p50) within the start time to end time at an aggregation granularity of one minute.
POST / HTTP/1.1
Host: apm.intl.tencentcloudapi.com
Content-Type: application/json
X-TC-Action: DescribeGeneralMetricData
<Common request parameters>
{
"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"
]
}
{
"Response": {
"Records": [
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "request_count",
TotalRequests
"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,
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32,
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22,
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22,
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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",
"ExceptionCount"
"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": [
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]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "duration_avg",
Average Response Time
"TimeSerial": [
1734415200,
1734415260,
1734415320,
1734415380,
1734415440,
1734415500,
1734415560,
1734415620,
1734415680,
1734415740,
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],
"DataSerial": [
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]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "slow_request_count",
{Slow Call}
"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,
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1734417420,
1734417480,
1734417540,
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1734417660,
1734417720,
1734417780,
1734417840,
1734417900,
1734417960,
1734418020,
1734418080,
1734418140,
1734418200,
1734418260,
1734418320,
1734418380,
1734418440,
1734418500,
1734418560,
1734418620,
1734418680,
1734418740
],
"DataSerial": [
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]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "duration_p50",
P50 Response Time
"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,
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14,
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14,
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14.444444444444445,
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]
}
],
"RequestId": "test-test-test"
}
}
This example shows you how to query the business system apm-059oXBfTL, filter by dimensions of service.name (application name) and span.kind (client/server perspective), aggregate by service.name (application name) and span.kind (client/server perspective), and find metric data such as request_count (request quantity), error_request_count (error request quantity), duration_avg (average response time), slow_request_count (number of slow requests), and duration_p50 (time p50) within the start time to end time, with one minute as the aggregation granularity.
POST / HTTP/1.1
Host: apm.intl.tencentcloudapi.com
Content-Type: application/json
X-TC-Action: DescribeGeneralMetricData
<Common request parameters>
{
"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"
]
}
{
"Response": {
"Records": [
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "request_count",
Total Number of Requests
"TimeSerial": [],
"DataSerial": [
1360
]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "error_request_count",
Number of Exceptions
"TimeSerial": [],
"DataSerial": [
0
]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "duration_avg",
Average Response Time
"TimeSerial": [],
"DataSerial": [
192.96957006641412
]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "slow_request_count",
Slow Call
"TimeSerial": [],
"DataSerial": [
124
]
},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
},
{
"Key": "span.kind",
"Value": "client"
}
],
"MetricName": "duration_p50",
P50 Response Time
"TimeSerial": [],
"DataSerial": [
13.443708609271523
]
}
],
"RequestId": "test-test-test"
}
}
This example shows you how to query the business system apm-059oXBfTL, filter by the dimensional service.name (application name), aggregate by service.name (application name), and find the metric data of error_request_count (error request quantity) and duration_avg (average response time) within the start time-termination time at a one-minute aggregation granularity.
POST / HTTP/1.1
Host: apm.intl.tencentcloudapi.com
Content-Type: application/json
X-TC-Action: DescribeGeneralMetricData
<Common request parameters>
{
"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"
]
}
{
"Response": {
"Records": [
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
}
],
"MetricName": "error_request_count",
"MetricNameCN": "Number of Errors"
"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,
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1734417420,
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1734417540,
1734417600,
1734417660,
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1734417840,
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1734418080,
1734418140,
1734418200,
1734418260,
1734418320,
1734418380,
1734418440,
1734418500,
1734418560,
1734418620,
1734418680,
1734418740
],
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},
{
"Tags": [
{
"Key": "service.name",
"Value": "ot-java-order-service"
}
],
"MetricName": "duration_avg",
Average Response Time
"TimeSerial": [
1734415200,
1734415260,
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1734415380,
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1734418200,
1734418260,
1734418320,
1734418380,
1734418440,
1734418500,
1734418560,
1734418620,
1734418680,
1734418740
],
"DataSerial": [
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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"
}
}
This example shows you how to query the business system apm-059oXBfTL, filter by db.instance (database name) as a dimensional
POST / HTTP/1.1
Host: apm.intl.tencentcloudapi.com
Content-Type: application/json
X-TC-Action: DescribeGeneralMetricData
<Common request parameters>
{
"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
}
{
"Response": {
"Records": [
{
"Tags": [
{
"Key": "db.statement",
"Value": "select sleep(?)"
},
{
"Key": "service.name",
"Value": "ot-java-order-service"
}
],
"MetricName": "duration_avg",
Average Response Time
"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",
Average Response Time
"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",
Average Response Time
"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",
Average Response Time
"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",
Average Response Time
"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",
Average Response Time
"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",
Average Response Time
"TimeSerial": [],
"DataSerial": [
5.44814345277778
]
}
],
"RequestId": "test-test-test"
}
}
TencentCloud API 3.0 integrates SDKs that support various programming languages to make it easier for you to call APIs.
The following only lists the error codes related to the API business logic. For other error codes, see Common Error Codes.
Error Code | Description |
---|---|
FailedOperation | Operation failed. |
FailedOperation.AppIdNotMatchInstanceInfo | The appid does not match the business system information. |
FailedOperation.InstanceIdIsEmpty | Business system id is empty. |
FailedOperation.InstanceNotFound | The apm business system does not exist. |
FailedOperation.InvalidInstanceID | Invalid business system id. |
FailedOperation.MetricFiltersLackParams | The metric data query lacks filter parameters in the query criteria. |
FailedOperation.QueryTimeIntervalIsNotSupported | Query time range not supported. |
FailedOperation.ViewNameNotExistOrIllegal | The view name does not exist or is invalid. |
InvalidParameter.FiltersFieldsNotExistOrIllegal | The field in filters does not exist or is invalid. |
InvalidParameter.GroupByFieldsNotExistOrIllegal | The field in groupby does not exist or is invalid. |
InvalidParameter.MetricFiltersLackParams | The service.name field must exist in filters, otherwise an error will occur. |
InvalidParameter.MetricsFieldNotExistOrIllegal | The field in metrics does not exist or is invalid. |
InvalidParameter.MetricsFieldsNotAllowEmpty | Metrics cannot be empty. |
InvalidParameter.PeriodIsIllegal | Period should not be empty, and can be 0 or 60. |
InvalidParameter.QueryTimeIntervalIsNotSupported | Query time not supported. up to 30 days of recent data can be queried. |
InvalidParameter.ViewNameNotExistOrIllegal | The view name does not exist or is invalid. |