Querying Time Series Data

Function

This API is used to query time series data within a specified period. You can specify a dimension or period to query. (This API will not evolve. You are advised to use Querying Expression Calculation Results in a Specified Period Using the POST Method.)

Calling Method

For details, see Calling APIs.

URI

POST /v2/{project_id}/samples

**Table 1** Path Parameters
Parameter	Mandatory	Type	Description
project_id	Yes	String	Project ID, which can be obtained from the console or by calling an API. For details, see Obtaining a Project ID.

**Table 2** Query Parameters
Parameter	Mandatory	Type	Description
fill_value	No	String	Value filled for breakpoints in time series data. Default value: –1. –1: Breakpoints are filled with –1. 0: Breakpoints are filled with 0. null: Breakpoints are filled with null. average: Breakpoints are filled with the average value of adjacent valid data. If there is no valid data, breakpoints are filled with null.

Request Parameters

**Table 3** Request body parameters
Parameter	Mandatory	Type	Description
samples	Yes	Array of QuerySample objects	List of time series objects. A JSON array can contain up to 20 objects.
statistics	Yes	Array of strings	Statistic. Values: maximum, minimum, sum, average, and sampleCount.
period	Yes	Integer	Monitoring data granularity. Options: 60: The granularity is 1 minute. 300: The granularity is 5 minutes. 900: The granularity is 15 minutes. 3600: The granularity is 1 hour.
time_range	Yes	String	Time range specified to query data of the last N minutes when the client time is inconsistent with the server time. It can also be used to accurately query the data of a specified period. Example: -1.-1.60: indicates that the data of the latest 60 minutes is queried. This query is based on the server time regardless of the current client time. 1650852000000.1650852300000.5: indicates the five minutes from 10:00:00 to 10:05:00 on April 25, 2022 GMT+08:00. Format: startTimeInMillis.endTimeInMillis.durationInMinutes Parameter description: startTimeInMillis: start time (UTC) of the query, in milliseconds. If this parameter is set to -1, the server calculates the start time as follows: endTimeInMillis – durationInMinutes × 60 × 1000. For example, -1.1650852300000.5 is equivalent to 1650852000000.1650852300000.5. endTimeInMillis: end time (UTC) of the query, in milliseconds. If this parameter is set to -1, the server calculates the end time as follows: startTimeInMillis + durationInMinutes × 60 × 1000. If the calculated end time is later than the current system time, the current system time is used. For example, 1650852000000.-1.5 is equivalent to 1650852000000.1650852300000.5. durationInMinutes: query time span, in minutes. The value must be greater than 0 and greater than or equal to the result of (endTimeInMillis – startTimeInMillis)/(60 ×1000) – 1. If both the start time and end time are set to -1, the system sets the end time to the current UTC time (in milliseconds) and calculates the start time as follows: endTimeInMillis – durationInMinutes × 60 × 1000. For example, -1.-1.60 indicates the latest 60 minutes. Constraint: In a single request, the following condition must be met: durationInMinutes × 60/period ≤ 1,440

**Table 4** QuerySample
Parameter	Mandatory	Type	Description
namespace	Yes	String	Namespace of time series objects. Options: PAAS.CONTAINER, PAAS.NODE, PAAS.SLA, PAAS.AGGR, and CUSTOMMETRICS. - PAAS.CONTAINER: namespace of application time series objects. PAAS.NODE: namespace of node time series objects. PAAS.SLA: namespace of SLA time series objects. PAAS.AGGR: namespace of cluster time series objects. CUSTOMMETRICS: namespace of custom time series objects. To query namespaces, call the API Querying Tag Values.
dimensions	Yes	Array of DimensionSeries objects	List of time series dimensions. To query the time series dimension list, call the API Querying Time Series Objects.
metric_name	Yes	String	Time series name. Length: 1 to 255 characters. Options: basic time series names (such as cpuUsage and cpuCoreUsed) provided by AOM, and custom time series names. To query time series names, call the API Querying Tag Values.

**Table 5** DimensionSeries
Parameter	Mandatory	Type	Description
name	No	String	Dimension name.
value	No	String	Dimension value.

Response Parameters

Status code: 200

**Table 6** Response body parameters
Parameter	Type	Description
samples	Array of SampleDataValue objects	List of time series objects.

**Table 7** SampleDataValue
Parameter	Type	Description
sample	QuerySample object	List of time series objects.
data_points	Array of MetricDataPoints objects	Time series data.

**Table 8** QuerySample
Parameter	Type	Description
namespace	String	Namespace of time series objects. Options: PAAS.CONTAINER, PAAS.NODE, PAAS.SLA, PAAS.AGGR, and CUSTOMMETRICS. - PAAS.CONTAINER: namespace of application time series objects. PAAS.NODE: namespace of node time series objects. PAAS.SLA: namespace of SLA time series objects. PAAS.AGGR: namespace of cluster time series objects. CUSTOMMETRICS: namespace of custom time series objects. To query namespaces, call the API Querying Tag Values.
dimensions	Array of DimensionSeries objects	List of time series dimensions. To query the time series dimension list, call the API Querying Time Series Objects.
metric_name	String	Time series name. Length: 1 to 255 characters. Options: basic time series names (such as cpuUsage and cpuCoreUsed) provided by AOM, and custom time series names. To query time series names, call the API Querying Tag Values.

**Table 9** DimensionSeries
Parameter	Type	Description
name	String	Dimension name.
value	String	Dimension value.

**Table 10** MetricDataPoints
Parameter	Type	Description
statistics	Array of StatisticValue objects	Statistic.
timestamp	Long	Timestamp.
unit	String	Time series unit.

**Table 11** StatisticValue
Parameter	Type	Description
statistic	String	Statistic.
value	Double	Statistical result.

Status code: 400

**Table 12** Response body parameters
Parameter	Type	Description
error_code	String	Error code.
error_msg	String	Error message.
error_type	String	Error type.
trace_id	String	Request ID.

Example Requests

Query time series data in the last five minutes by namespace, metric_name, and dimensions.

https://{Endpoint}/v2/{project_id}/samples

{
    "samples": [
        {
            "namespace": "PAAS.CONTAINER",
            "metric_name": "aom_process_cpu_usage",
            "dimensions": [
                {
                    "name": "appName",
                    "value": "aomApp"
                }
            ]
        }
    ],
    "period": 60,
    "time_range": "-1.-1.5",// Last 5 minutes
      "statistics": [
        "sum"
    ]
}

Example Responses

Status code: 200

OK: The request is successful.

{
  "samples" : [ {
    "sample" : {
      "namespace" : "PAAS.CONTAINER",
      "metric_name" : "aom_process_cpu_usage",
      "dimensions" : [ {
        "name" : "appName",
        "value" : "aomApp"
      } ]
    },
    "data_points" : [ {
      "timestamp" : 1694673300000,
      "unit" : "Percent",
      "statistics" : [ {
        "statistic" : "sum",
        "value" : "23"
      } ]
    } ]
  } ]
}

Status code: 400

Bad Request: The request is invalid. The client should not repeat the request without modifications.

{
  "error_code" : "AOM.04008105",
  "error_msg" : "Query metric data samples is invalid",
  "error_type" : "BAD_REQUEST",
  "trace_id" : ""
}

Status Codes

Status Code	Description
200	OK: The request is successful.
400	Bad Request: The request is invalid. The client should not repeat the request without modifications.
401	Unauthorized: The authentication information is incorrect or invalid.
403	Forbidden: The request is rejected. The server has received the request and understood it, but the server refuses to respond to it. The client should not repeat the request without modifications.
500	Internal Server Error: The server is able to receive the request but unable to understand the request.
503	Service Unavailable: The requested service is invalid. The client should not repeat the request without modifications.

Error Codes

See Error Codes.

Parent topic: Monitoring

Previous topic: Querying Time Series Objects

Next topic: Querying Metrics

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