Updated on 2024-06-28 GMT+08:00

Querying Monitoring Data

Function

This API is used to query monitoring data of metrics within a specified period. You can specify a dimension or period to query.

Calling Method

For details, see Calling APIs.

URI

POST /v1/{project_id}/ams/metricdata

Table 1 Path Parameters

Parameter

Mandatory

Type

Description

project_id

Yes

String

Project ID obtained from IAM. Generally, a project ID contains 32 characters.

Table 2 Query Parameters

Parameter

Mandatory

Type

Description

fillValue

No

String

Value filled for breakpoints in monitoring 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 the adjacent valid data. If there is no valid data, breakpoints are filled with null.

Default: -1

Enumeration values:

  • -1

  • 0

  • null

  • average

Request Parameters

Table 3 Request header parameters

Parameter

Mandatory

Type

Description

X-Auth-Token

Yes

String

User token obtained from IAM.

Content-Type

Yes

String

Content type, which is application/json.

Enumeration values:

  • application/json

Table 4 Request body parameters

Parameter

Mandatory

Type

Description

metrics

Yes

Array of MetricQueryMeritcParam objects

Metric list. A JSON array can contain up to 20 objects.

period

Yes

Integer

Granularity for monitoring data, which is an enumerated value. Values: 60: The data monitoring granularity is 1 minute. 300: The data monitoring granularity is 5 minutes. 900: The data monitoring granularity is 15 minutes. 3600: The data monitoring granularity is 1 hour.

statistics

Yes

Array of strings

Statistic. Values: maximum, minimum, sum, average, and sampleCount.

timerange

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 of the query, in milliseconds. If this parameter is set to -1, the server calculates the start time as follows: endTimeInMillis – durationInMinutes x 60 x 1000. For example, -1.1650852300000.5 is equivalent to 1650852000000.1650852300000.5.

  • endTimeInMillis: End time of the query, in milliseconds. If this parameter is set to -1, the server calculates the end time as follows: startTimeInMillis + durationInMinutes x 60 x 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: Time span, in minutes. The value must be greater than 0 and greater than or equal to the result of "(endTimeInMillis – startTimeInMillis)/(60 x 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 x 60 x 1000. For example, -1.-1.60 indicates the latest 60 minutes.

Constraint:

In a single request, the following condition must be met: durationInMinutes x 60/period ≤ 1440

Table 5 MetricQueryMeritcParam

Parameter

Mandatory

Type

Description

dimensions

Yes

Array of Dimension objects

List of metric dimensions. Neither the array nor the name or value of any dimension in the array can be left blank.

metricName

Yes

String

Metric name. Length: 1 to 255 characters. Value range: cpuUsage, cpuCoreUsed, and other basic metrics provided by AOM. cpuUsage: CPU usage. cpuCoreUsed: used CPU cores. Custom metrics.

namespace

Yes

String

Metric namespace. Values: PAAS.CONTAINER: namespace of component, instance, process, and container metrics. PAAS.NODE: namespace of host, network, disk, and file system metrics. PAAS.SLA: namespace of SLA metrics. PAAS.AGGR: namespace of cluster metrics. CUSTOMMETRICS: default namespace of custom metrics.

Table 6 Dimension

Parameter

Mandatory

Type

Description

name

Yes

String

Dimension name.

value

Yes

String

Dimension value.

Response Parameters

Status code: 200

Table 7 Response body parameters

Parameter

Type

Description

errorCode

String

Response code.

errorMessage

String

Response message.

metrics

Array of MetricDataValue objects

Metric list.

Table 8 MetricDataValue

Parameter

Type

Description

dataPoints

Array of MetricDataPoints objects

Key metric.

metric

MetricQueryMeritcParam object

Query parameters.

Table 9 MetricDataPoints

Parameter

Type

Description

statistics

Array of StatisticValue objects

Statistic.

timestamp

Long

Timestamp.

unit

String

Time series unit.

Table 10 StatisticValue

Parameter

Type

Description

statistic

String

Statistic.

value

Double

Statistical result.

Table 11 MetricQueryMeritcParam

Parameter

Type

Description

dimensions

Array of Dimension objects

List of metric dimensions. Neither the array nor the name or value of any dimension in the array can be left blank.

metricName

String

Metric name. Length: 1 to 255 characters. Value range: cpuUsage, cpuCoreUsed, and other basic metrics provided by AOM. cpuUsage: CPU usage. cpuCoreUsed: used CPU cores. Custom metrics.

namespace

String

Metric namespace. Values: PAAS.CONTAINER: namespace of component, instance, process, and container metrics. PAAS.NODE: namespace of host, network, disk, and file system metrics. PAAS.SLA: namespace of SLA metrics. PAAS.AGGR: namespace of cluster metrics. CUSTOMMETRICS: default namespace of custom metrics.

Table 12 Dimension

Parameter

Type

Description

name

String

Dimension name.

value

String

Dimension value.

Example Requests

Query the monitoring data of cpuUsage in the PAAS.CONTAINER namespace in the last five minutes.

https://{Endpoint}/v1/{project_id}/ams/metricdata

{
  "metrics" : [ {
    "dimensions" : [ {
      "name" : "appName",
      "value" : "aomApp"
    } ],
    "metricName" : "cpuUsage",
    "namespace" : "PAAS.CONTAINER"
  } ],
  "period" : 60,
  "statistics" : [ "maximum", "minimum", "sum" ],
  "timerange" : "-1.-1.5"
}

Example Responses

Status code: 200

OK: The request is successful.

{
  "errorCode" : "SVCSTG_AMS_2000000",
  "errorMessage" : "success",
  "metrics" : [ {
    "metric" : {
      "namespace" : "PAAS.CONTAINER",
      "metricName" : "cpuUsage",
      "dimensions" : [ {
        "name" : "appName",
        "value" : "aomApp"
      } ]
    },
    "dataPoints" : [ {
      "timestamp" : "1467892800000",
      "unit" : "Percent",
      "statistics" : [ {
        "statistic" : "maximum",
        "value" : "23"
      } ]
    } ]
  } ]
}

SDK Sample Code

The SDK sample code is as follows.

Java

Query the monitoring data of cpuUsage in the PAAS.CONTAINER namespace in the last five minutes.

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package com.huaweicloud.sdk.test;

import com.huaweicloud.sdk.core.auth.ICredential;
import com.huaweicloud.sdk.core.auth.BasicCredentials;
import com.huaweicloud.sdk.core.exception.ConnectionException;
import com.huaweicloud.sdk.core.exception.RequestTimeoutException;
import com.huaweicloud.sdk.core.exception.ServiceResponseException;
import com.huaweicloud.sdk.aom.v2.region.AomRegion;
import com.huaweicloud.sdk.aom.v2.*;
import com.huaweicloud.sdk.aom.v2.model.*;

import java.util.List;
import java.util.ArrayList;

public class ShowMetricsDataSolution {

    public static void main(String[] args) {
        // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security.
        // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment
        String ak = System.getenv("CLOUD_SDK_AK");
        String sk = System.getenv("CLOUD_SDK_SK");

        ICredential auth = new BasicCredentials()
                .withAk(ak)
                .withSk(sk);

        AomClient client = AomClient.newBuilder()
                .withCredential(auth)
                .withRegion(AomRegion.valueOf("<YOUR REGION>"))
                .build();
        ShowMetricsDataRequest request = new ShowMetricsDataRequest();
        request.withFillValue(ShowMetricsDataRequest.FillValueEnum.fromValue("<fillValue>"));
        QueryMetricDataParam body = new QueryMetricDataParam();
        List<String> listbodyStatistics = new ArrayList<>();
        listbodyStatistics.add("maximum");
        listbodyStatistics.add("minimum");
        listbodyStatistics.add("sum");
        List<Dimension> listMetricsDimensions = new ArrayList<>();
        listMetricsDimensions.add(
            new Dimension()
                .withName("appName")
                .withValue("aomApp")
        );
        List<MetricQueryMeritcParam> listbodyMetrics = new ArrayList<>();
        listbodyMetrics.add(
            new MetricQueryMeritcParam()
                .withDimensions(listMetricsDimensions)
                .withMetricName("cpuUsage")
                .withNamespace("PAAS.CONTAINER")
        );
        body.withTimerange("-1.-1.5");
        body.withStatistics(listbodyStatistics);
        body.withPeriod(60);
        body.withMetrics(listbodyMetrics);
        request.withBody(body);
        try {
            ShowMetricsDataResponse response = client.showMetricsData(request);
            System.out.println(response.toString());
        } catch (ConnectionException e) {
            e.printStackTrace();
        } catch (RequestTimeoutException e) {
            e.printStackTrace();
        } catch (ServiceResponseException e) {
            e.printStackTrace();
            System.out.println(e.getHttpStatusCode());
            System.out.println(e.getRequestId());
            System.out.println(e.getErrorCode());
            System.out.println(e.getErrorMsg());
        }
    }
}

Python

Query the monitoring data of cpuUsage in the PAAS.CONTAINER namespace in the last five minutes.

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# coding: utf-8

import os
from huaweicloudsdkcore.auth.credentials import BasicCredentials
from huaweicloudsdkaom.v2.region.aom_region import AomRegion
from huaweicloudsdkcore.exceptions import exceptions
from huaweicloudsdkaom.v2 import *

if __name__ == "__main__":
    # The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security.
    # In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment
    ak = os.environ["CLOUD_SDK_AK"]
    sk = os.environ["CLOUD_SDK_SK"]

    credentials = BasicCredentials(ak, sk)

    client = AomClient.new_builder() \
        .with_credentials(credentials) \
        .with_region(AomRegion.value_of("<YOUR REGION>")) \
        .build()

    try:
        request = ShowMetricsDataRequest()
        request.fill_value = "<fillValue>"
        listStatisticsbody = [
            "maximum",
            "minimum",
            "sum"
        ]
        listDimensionsMetrics = [
            Dimension(
                name="appName",
                value="aomApp"
            )
        ]
        listMetricsbody = [
            MetricQueryMeritcParam(
                dimensions=listDimensionsMetrics,
                metric_name="cpuUsage",
                namespace="PAAS.CONTAINER"
            )
        ]
        request.body = QueryMetricDataParam(
            timerange="-1.-1.5",
            statistics=listStatisticsbody,
            period=60,
            metrics=listMetricsbody
        )
        response = client.show_metrics_data(request)
        print(response)
    except exceptions.ClientRequestException as e:
        print(e.status_code)
        print(e.request_id)
        print(e.error_code)
        print(e.error_msg)

Go

Query the monitoring data of cpuUsage in the PAAS.CONTAINER namespace in the last five minutes.

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package main

import (
	"fmt"
	"github.com/huaweicloud/huaweicloud-sdk-go-v3/core/auth/basic"
    aom "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/aom/v2"
	"github.com/huaweicloud/huaweicloud-sdk-go-v3/services/aom/v2/model"
    region "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/aom/v2/region"
)

func main() {
    // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security.
    // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment
    ak := os.Getenv("CLOUD_SDK_AK")
    sk := os.Getenv("CLOUD_SDK_SK")

    auth := basic.NewCredentialsBuilder().
        WithAk(ak).
        WithSk(sk).
        Build()

    client := aom.NewAomClient(
        aom.AomClientBuilder().
            WithRegion(region.ValueOf("<YOUR REGION>")).
            WithCredential(auth).
            Build())

    request := &model.ShowMetricsDataRequest{}
	fillValueRequest:= model.GetShowMetricsDataRequestFillValueEnum().<FILL_VALUE>
	request.FillValue = &fillValueRequest
	var listStatisticsbody = []string{
        "maximum",
	    "minimum",
	    "sum",
    }
	var listDimensionsMetrics = []model.Dimension{
        {
            Name: "appName",
            Value: "aomApp",
        },
    }
	var listMetricsbody = []model.MetricQueryMeritcParam{
        {
            Dimensions: listDimensionsMetrics,
            MetricName: "cpuUsage",
            Namespace: "PAAS.CONTAINER",
        },
    }
	request.Body = &model.QueryMetricDataParam{
		Timerange: "-1.-1.5",
		Statistics: listStatisticsbody,
		Period: int32(60),
		Metrics: listMetricsbody,
	}
	response, err := client.ShowMetricsData(request)
	if err == nil {
        fmt.Printf("%+v\n", response)
    } else {
        fmt.Println(err)
    }
}

More

For SDK sample code of more programming languages, see the Sample Code tab in API Explorer. SDK sample code can be automatically generated.

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.