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

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.

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

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 the 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

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.

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 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 4 QuerySample

Parameter

Mandatory

Type

Description

namespace

Yes

String

Namespace of time series objects. Value range: PAAS.CONTAINER, PAAS.NODE, PAAS.SLA, PAAS.AGGR, or 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.

dimensions

Yes

Array of DimensionSeries objects

List of time series dimensions.You can call the /v2/{project_id}/series API to query the time series dimension list by namespace and metric_name.

metric_name

Yes

String

Time series name. Length: 1 to 255 characters. Values: cpuUsage: CPU usage. cpuCoreUsed: used CPU cores. Custom time series names.

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. Value range: PAAS.CONTAINER, PAAS.NODE, PAAS.SLA, PAAS.AGGR, or 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.

dimensions

Array of DimensionSeries objects

List of time series dimensions.You can call the /v2/{project_id}/series API to query the time series dimension list by namespace and metric_name.

metric_name

String

Time series name. Length: 1 to 255 characters. Values: cpuUsage: CPU usage. cpuCoreUsed: used CPU cores. Custom time series names.

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" : ""
}

SDK Sample Code

The SDK sample code is as follows.

Java

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

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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 ListSampleSolution {

    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();
        ListSampleRequest request = new ListSampleRequest();
        request.withFillValue("<fill_value>");
        QuerySampleParam body = new QuerySampleParam();
        List<String> listbodyStatistics = new ArrayList<>();
        listbodyStatistics.add("sum");
        List<DimensionSeries> listSamplesDimensions = new ArrayList<>();
        listSamplesDimensions.add(
            new DimensionSeries()
                .withName("appName")
                .withValue("aomApp")
        );
        List<QuerySample> listbodySamples = new ArrayList<>();
        listbodySamples.add(
            new QuerySample()
                .withNamespace("PAAS.CONTAINER")
                .withDimensions(listSamplesDimensions)
                .withMetricName("aom_process_cpu_usage")
        );
        body.withTimeRange("-1.-1.5");
        body.withPeriod(60);
        body.withStatistics(listbodyStatistics);
        body.withSamples(listbodySamples);
        request.withBody(body);
        try {
            ListSampleResponse response = client.listSample(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 time series data in the last five minutes by namespace, metric_name, and dimensions.

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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 = ListSampleRequest()
        request.fill_value = "<fill_value>"
        listStatisticsbody = [
            "sum"
        ]
        listDimensionsSamples = [
            DimensionSeries(
                name="appName",
                value="aomApp"
            )
        ]
        listSamplesbody = [
            QuerySample(
                namespace="PAAS.CONTAINER",
                dimensions=listDimensionsSamples,
                metric_name="aom_process_cpu_usage"
            )
        ]
        request.body = QuerySampleParam(
            time_range="-1.-1.5",
            period=60,
            statistics=listStatisticsbody,
            samples=listSamplesbody
        )
        response = client.list_sample(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 time series data in the last five minutes by namespace, metric_name, and dimensions.

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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.ListSampleRequest{}
	fillValueRequest:= "<fill_value>"
	request.FillValue = &fillValueRequest
	var listStatisticsbody = []string{
        "sum",
    }
	nameDimensions:= "appName"
	valueDimensions:= "aomApp"
	var listDimensionsSamples = []model.DimensionSeries{
        {
            Name: &nameDimensions,
            Value: &valueDimensions,
        },
    }
	var listSamplesbody = []model.QuerySample{
        {
            Namespace: "PAAS.CONTAINER",
            Dimensions: listDimensionsSamples,
            MetricName: "aom_process_cpu_usage",
        },
    }
	request.Body = &model.QuerySampleParam{
		TimeRange: "-1.-1.5",
		Period: int32(60),
		Statistics: listStatisticsbody,
		Samples: listSamplesbody,
	}
	response, err := client.ListSample(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.