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Spans

Search and aggregate your spans from your Datadog platform over HTTP.

GET https://api.ap1.datadoghq.com/api/v2/spans/eventshttps://api.datadoghq.eu/api/v2/spans/eventshttps://api.ddog-gov.com/api/v2/spans/eventshttps://api.datadoghq.com/api/v2/spans/eventshttps://api.us3.datadoghq.com/api/v2/spans/eventshttps://api.us5.datadoghq.com/api/v2/spans/events

개요

List endpoint returns spans that match a span search query. Results are paginated.

Use this endpoint to see your latest spans. This endpoint is rate limited to 300 requests per hour.

인수

Query Strings

이름

유형

설명

filter[query]

string

Search query following spans syntax.

filter[from]

string

Minimum timestamp for requested spans. Supports date-time ISO8601, date math, and regular timestamps (milliseconds).

filter[to]

string

Maximum timestamp for requested spans. Supports date-time ISO8601, date math, and regular timestamps (milliseconds).

sort

enum

Order of spans in results.
Allowed enum values: timestamp, -timestamp

page[cursor]

string

List following results with a cursor provided in the previous query.

page[limit]

integer

Maximum number of spans in the response.

응답

OK

Response object with all spans matching the request and pagination information.

Expand All

항목

유형

설명

data

[object]

Array of spans matching the request.

attributes

object

JSON object containing all span attributes and their associated values.

attributes

object

JSON object of attributes from your span.

custom

object

JSON object of custom spans data.

end_timestamp

date-time

End timestamp of your span.

env

string

Name of the environment from where the spans are being sent.

host

string

Name of the machine from where the spans are being sent.

ingestion_reason

string

The reason why the span was ingested.

parent_id

string

Id of the span that's parent of this span.

resource_hash

string

Unique identifier of the resource.

resource_name

string

The name of the resource.

retained_by

string

The reason why the span was indexed.

service

string

The name of the application or service generating the span events. It is used to switch from APM to Logs, so make sure you define the same value when you use both products.

single_span

boolean

Whether or not the span was collected as a stand-alone span. Always associated to "single_span" ingestion_reason if true.

span_id

string

Id of the span.

start_timestamp

date-time

Start timestamp of your span.

tags

[string]

Array of tags associated with your span.

trace_id

string

Id of the trace to which the span belongs.

type

string

The type of the span.

id

string

Unique ID of the Span.

type

enum

Type of the span. Allowed enum values: spans

default: spans

links

object

Links attributes.

next

string

Link for the next set of results. Note that the request can also be made using the POST endpoint.

meta

object

The metadata associated with a request.

elapsed

int64

The time elapsed in milliseconds.

page

object

Paging attributes.

after

string

The cursor to use to get the next results, if any. To make the next request, use the same parameters with the addition of the page[cursor].

request_id

string

The identifier of the request.

status

enum

The status of the response. Allowed enum values: done,timeout

warnings

[object]

A list of warnings (non fatal errors) encountered, partial results might be returned if warnings are present in the response.

code

string

A unique code for this type of warning.

detail

string

A detailed explanation of this specific warning.

title

string

A short human-readable summary of the warning.

{
  "data": [
    {
      "attributes": {
        "attributes": {
          "customAttribute": 123,
          "duration": 2345
        },
        "custom": {},
        "end_timestamp": "2023-01-02T09:42:36.420Z",
        "env": "prod",
        "host": "i-0123",
        "ingestion_reason": "rule",
        "parent_id": "0",
        "resource_hash": "a12345678b91c23d",
        "resource_name": "agent",
        "retained_by": "retention_filter",
        "service": "agent",
        "single_span": true,
        "span_id": "1234567890987654321",
        "start_timestamp": "2023-01-02T09:42:36.320Z",
        "tags": [
          "team:A"
        ],
        "trace_id": "1234567890987654321",
        "type": "web"
      },
      "id": "AAAAAWgN8Xwgr1vKDQAAAABBV2dOOFh3ZzZobm1mWXJFYTR0OA",
      "type": "spans"
    }
  ],
  "links": {
    "next": "https://app.datadoghq.com/api/v2/spans/event?filter[query]=foo\u0026page[cursor]=eyJzdGFydEF0IjoiQVFBQUFYS2tMS3pPbm40NGV3QUFBQUJCV0V0clRFdDZVbG8zY3pCRmNsbHJiVmxDWlEifQ=="
  },
  "meta": {
    "elapsed": 132,
    "page": {
      "after": "eyJzdGFydEF0IjoiQVFBQUFYS2tMS3pPbm40NGV3QUFBQUJCV0V0clRFdDZVbG8zY3pCRmNsbHJiVmxDWlEifQ=="
    },
    "request_id": "MWlFUjVaWGZTTTZPYzM0VXp1OXU2d3xLSVpEMjZKQ0VKUTI0dEYtM3RSOFVR",
    "status": "done",
    "warnings": [
      {
        "code": "unknown_index",
        "detail": "indexes: foo, bar",
        "title": "One or several indexes are missing or invalid, results hold data from the other indexes"
      }
    ]
  }
}

Bad Request.

API error response.

Expand All

항목

유형

설명

errors [required]

[object]

A list of errors.

detail

string

A human-readable explanation specific to this occurrence of the error.

status

string

Status code of the response.

title

string

Short human-readable summary of the error.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

Forbidden: Access denied.

API error response.

Expand All

항목

유형

설명

errors [required]

[object]

A list of errors.

detail

string

A human-readable explanation specific to this occurrence of the error.

status

string

Status code of the response.

title

string

Short human-readable summary of the error.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

Unprocessable Entity.

API error response.

Expand All

항목

유형

설명

errors [required]

[object]

A list of errors.

detail

string

A human-readable explanation specific to this occurrence of the error.

status

string

Status code of the response.

title

string

Short human-readable summary of the error.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

Too many requests: The rate limit set by the API has been exceeded.

API error response.

Expand All

항목

유형

설명

errors [required]

[object]

A list of errors.

detail

string

A human-readable explanation specific to this occurrence of the error.

status

string

Status code of the response.

title

string

Short human-readable summary of the error.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

Code Example

                  # Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/spans/events" \ -H "Accept: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}"
"""
Get a list of spans returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.spans_api import SpansApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = SpansApi(api_client)
    response = api_instance.list_spans_get()

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" python3 "example.py"
# Get a list of spans returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::SpansAPI.new
p api_instance.list_spans_get()

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" rb "example.rb"
/**
 * Get a list of spans returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.SpansApi(configuration);

apiInstance
  .listSpansGet()
  .then((data: v2.SpansListResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" tsc "example.ts"
// Get a list of spans returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewSpansApi(apiClient)
	resp, r, err := api.ListSpansGet(ctx, *datadogV2.NewListSpansGetOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `SpansApi.ListSpansGet`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `SpansApi.ListSpansGet`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" go run "main.go"
// Get a list of spans returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.SpansApi;
import com.datadog.api.client.v2.model.SpansListResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    SpansApi apiInstance = new SpansApi(defaultClient);

    try {
      SpansListResponse result = apiInstance.listSpansGet();
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling SpansApi#listSpansGet");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" java "Example.java"

POST https://api.ap1.datadoghq.com/api/v2/spans/events/searchhttps://api.datadoghq.eu/api/v2/spans/events/searchhttps://api.ddog-gov.com/api/v2/spans/events/searchhttps://api.datadoghq.com/api/v2/spans/events/searchhttps://api.us3.datadoghq.com/api/v2/spans/events/searchhttps://api.us5.datadoghq.com/api/v2/spans/events/search

개요

List endpoint returns spans that match a span search query. Results are paginated.

Use this endpoint to build complex spans filtering and search. This endpoint is rate limited to 300 requests per hour.

요청

Body Data (required)

Expand All

항목

유형

설명

data

object

The object containing the query content.

attributes

object

The object containing all the query parameters.

filter

object

The search and filter query settings.

from

string

The minimum time for the requested spans, supports date-time ISO8601, date math, and regular timestamps (milliseconds).

default: now-15m

query

string

The search query - following the span search syntax.

default: *

to

string

The maximum time for the requested spans, supports date-time ISO8601, date math, and regular timestamps (milliseconds).

default: now

options

object

Global query options that are used during the query. Note: You should only supply timezone or time offset but not both otherwise the query will fail.

timeOffset

int64

The time offset (in seconds) to apply to the query.

timezone

string

The timezone can be specified as GMT, UTC, an offset from UTC (like UTC+1), or as a Timezone Database identifier (like America/New_York).

default: UTC

page

object

Paging attributes for listing spans.

cursor

string

List following results with a cursor provided in the previous query.

limit

int32

Maximum number of spans in the response.

default: 10

sort

enum

Sort parameters when querying spans. Allowed enum values: timestamp,-timestamp

type

enum

The type of resource. The value should always be search_request. Allowed enum values: search_request

default: search_request

{
  "data": {
    "attributes": {
      "filter": {
        "from": "now-15m",
        "query": "*",
        "to": "now"
      },
      "options": {
        "timezone": "GMT"
      },
      "page": {
        "limit": 25
      },
      "sort": "timestamp"
    },
    "type": "search_request"
  }
}
{
  "data": {
    "attributes": {
      "filter": {
        "from": "now-15m",
        "query": "service:python*",
        "to": "now"
      },
      "options": {
        "timezone": "GMT"
      },
      "page": {
        "limit": 2
      },
      "sort": "timestamp"
    },
    "type": "search_request"
  }
}

응답

OK

Response object with all spans matching the request and pagination information.

Expand All

항목

유형

설명

data

[object]

Array of spans matching the request.

attributes

object

JSON object containing all span attributes and their associated values.

attributes

object

JSON object of attributes from your span.

custom

object

JSON object of custom spans data.

end_timestamp

date-time

End timestamp of your span.

env

string

Name of the environment from where the spans are being sent.

host

string

Name of the machine from where the spans are being sent.

ingestion_reason

string

The reason why the span was ingested.

parent_id

string

Id of the span that's parent of this span.

resource_hash

string

Unique identifier of the resource.

resource_name

string

The name of the resource.

retained_by

string

The reason why the span was indexed.

service

string

The name of the application or service generating the span events. It is used to switch from APM to Logs, so make sure you define the same value when you use both products.

single_span

boolean

Whether or not the span was collected as a stand-alone span. Always associated to "single_span" ingestion_reason if true.

span_id

string

Id of the span.

start_timestamp

date-time

Start timestamp of your span.

tags

[string]

Array of tags associated with your span.

trace_id

string

Id of the trace to which the span belongs.

type

string

The type of the span.

id

string

Unique ID of the Span.

type

enum

Type of the span. Allowed enum values: spans

default: spans

links

object

Links attributes.

next

string

Link for the next set of results. Note that the request can also be made using the POST endpoint.

meta

object

The metadata associated with a request.

elapsed

int64

The time elapsed in milliseconds.

page

object

Paging attributes.

after

string

The cursor to use to get the next results, if any. To make the next request, use the same parameters with the addition of the page[cursor].

request_id

string

The identifier of the request.

status

enum

The status of the response. Allowed enum values: done,timeout

warnings

[object]

A list of warnings (non fatal errors) encountered, partial results might be returned if warnings are present in the response.

code

string

A unique code for this type of warning.

detail

string

A detailed explanation of this specific warning.

title

string

A short human-readable summary of the warning.

{
  "data": [
    {
      "attributes": {
        "attributes": {
          "customAttribute": 123,
          "duration": 2345
        },
        "custom": {},
        "end_timestamp": "2023-01-02T09:42:36.420Z",
        "env": "prod",
        "host": "i-0123",
        "ingestion_reason": "rule",
        "parent_id": "0",
        "resource_hash": "a12345678b91c23d",
        "resource_name": "agent",
        "retained_by": "retention_filter",
        "service": "agent",
        "single_span": true,
        "span_id": "1234567890987654321",
        "start_timestamp": "2023-01-02T09:42:36.320Z",
        "tags": [
          "team:A"
        ],
        "trace_id": "1234567890987654321",
        "type": "web"
      },
      "id": "AAAAAWgN8Xwgr1vKDQAAAABBV2dOOFh3ZzZobm1mWXJFYTR0OA",
      "type": "spans"
    }
  ],
  "links": {
    "next": "https://app.datadoghq.com/api/v2/spans/event?filter[query]=foo\u0026page[cursor]=eyJzdGFydEF0IjoiQVFBQUFYS2tMS3pPbm40NGV3QUFBQUJCV0V0clRFdDZVbG8zY3pCRmNsbHJiVmxDWlEifQ=="
  },
  "meta": {
    "elapsed": 132,
    "page": {
      "after": "eyJzdGFydEF0IjoiQVFBQUFYS2tMS3pPbm40NGV3QUFBQUJCV0V0clRFdDZVbG8zY3pCRmNsbHJiVmxDWlEifQ=="
    },
    "request_id": "MWlFUjVaWGZTTTZPYzM0VXp1OXU2d3xLSVpEMjZKQ0VKUTI0dEYtM3RSOFVR",
    "status": "done",
    "warnings": [
      {
        "code": "unknown_index",
        "detail": "indexes: foo, bar",
        "title": "One or several indexes are missing or invalid, results hold data from the other indexes"
      }
    ]
  }
}

Bad Request.

API error response.

Expand All

항목

유형

설명

errors [required]

[object]

A list of errors.

detail

string

A human-readable explanation specific to this occurrence of the error.

status

string

Status code of the response.

title

string

Short human-readable summary of the error.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

Forbidden: Access denied.

API error response.

Expand All

항목

유형

설명

errors [required]

[object]

A list of errors.

detail

string

A human-readable explanation specific to this occurrence of the error.

status

string

Status code of the response.

title

string

Short human-readable summary of the error.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

Unprocessable Entity.

API error response.

Expand All

항목

유형

설명

errors [required]

[object]

A list of errors.

detail

string

A human-readable explanation specific to this occurrence of the error.

status

string

Status code of the response.

title

string

Short human-readable summary of the error.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

Too many requests: The rate limit set by the API has been exceeded.

API error response.

Expand All

항목

유형

설명

errors [required]

[object]

A list of errors.

detail

string

A human-readable explanation specific to this occurrence of the error.

status

string

Status code of the response.

title

string

Short human-readable summary of the error.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

Code Example

                          # Curl command
curl -X POST "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/spans/events/search" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \ -d @- << EOF { "data": { "attributes": { "filter": { "from": "now-15m", "query": "*", "to": "now" }, "options": { "timezone": "GMT" }, "page": { "limit": 25 }, "sort": "timestamp" }, "type": "search_request" } } EOF
                          # Curl command
curl -X POST "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/spans/events/search" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \ -d @- << EOF { "data": { "attributes": { "filter": { "from": "now-15m", "query": "service:python*", "to": "now" }, "options": { "timezone": "GMT" }, "page": { "limit": 2 }, "sort": "timestamp" }, "type": "search_request" } } EOF
// Search spans returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	body := datadogV2.SpansListRequest{
		Data: &datadogV2.SpansListRequestData{
			Attributes: &datadogV2.SpansListRequestAttributes{
				Filter: &datadogV2.SpansQueryFilter{
					From:  datadog.PtrString("now-15m"),
					Query: datadog.PtrString("*"),
					To:    datadog.PtrString("now"),
				},
				Options: &datadogV2.SpansQueryOptions{
					Timezone: datadog.PtrString("GMT"),
				},
				Page: &datadogV2.SpansListRequestPage{
					Limit: datadog.PtrInt32(25),
				},
				Sort: datadogV2.SPANSSORT_TIMESTAMP_ASCENDING.Ptr(),
			},
			Type: datadogV2.SPANSLISTREQUESTTYPE_SEARCH_REQUEST.Ptr(),
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewSpansApi(apiClient)
	resp, r, err := api.ListSpans(ctx, body)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `SpansApi.ListSpans`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `SpansApi.ListSpans`:\n%s\n", responseContent)
}
// Search spans returns "OK" response with pagination

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	body := datadogV2.SpansListRequest{
		Data: &datadogV2.SpansListRequestData{
			Attributes: &datadogV2.SpansListRequestAttributes{
				Filter: &datadogV2.SpansQueryFilter{
					From:  datadog.PtrString("now-15m"),
					Query: datadog.PtrString("service:python*"),
					To:    datadog.PtrString("now"),
				},
				Options: &datadogV2.SpansQueryOptions{
					Timezone: datadog.PtrString("GMT"),
				},
				Page: &datadogV2.SpansListRequestPage{
					Limit: datadog.PtrInt32(2),
				},
				Sort: datadogV2.SPANSSORT_TIMESTAMP_ASCENDING.Ptr(),
			},
			Type: datadogV2.SPANSLISTREQUESTTYPE_SEARCH_REQUEST.Ptr(),
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewSpansApi(apiClient)
	resp, _ := api.ListSpansWithPagination(ctx, body)

	for paginationResult := range resp {
		if paginationResult.Error != nil {
			fmt.Fprintf(os.Stderr, "Error when calling `SpansApi.ListSpans`: %v\n", paginationResult.Error)
		}
		responseContent, _ := json.MarshalIndent(paginationResult.Item, "", "  ")
		fmt.Fprintf(os.Stdout, "%s\n", responseContent)
	}
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" go run "main.go"
// Search spans returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.SpansApi;
import com.datadog.api.client.v2.model.SpansListRequest;
import com.datadog.api.client.v2.model.SpansListRequestAttributes;
import com.datadog.api.client.v2.model.SpansListRequestData;
import com.datadog.api.client.v2.model.SpansListRequestPage;
import com.datadog.api.client.v2.model.SpansListRequestType;
import com.datadog.api.client.v2.model.SpansListResponse;
import com.datadog.api.client.v2.model.SpansQueryFilter;
import com.datadog.api.client.v2.model.SpansQueryOptions;
import com.datadog.api.client.v2.model.SpansSort;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    SpansApi apiInstance = new SpansApi(defaultClient);

    SpansListRequest body =
        new SpansListRequest()
            .data(
                new SpansListRequestData()
                    .attributes(
                        new SpansListRequestAttributes()
                            .filter(new SpansQueryFilter().from("now-15m").query("*").to("now"))
                            .options(new SpansQueryOptions().timezone("GMT"))
                            .page(new SpansListRequestPage().limit(25))
                            .sort(SpansSort.TIMESTAMP_ASCENDING))
                    .type(SpansListRequestType.SEARCH_REQUEST));

    try {
      SpansListResponse result = apiInstance.listSpans(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling SpansApi#listSpans");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}
// Search spans returns "OK" response with pagination

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.PaginationIterable;
import com.datadog.api.client.v2.api.SpansApi;
import com.datadog.api.client.v2.model.Span;
import com.datadog.api.client.v2.model.SpansListRequest;
import com.datadog.api.client.v2.model.SpansListRequestAttributes;
import com.datadog.api.client.v2.model.SpansListRequestData;
import com.datadog.api.client.v2.model.SpansListRequestPage;
import com.datadog.api.client.v2.model.SpansListRequestType;
import com.datadog.api.client.v2.model.SpansQueryFilter;
import com.datadog.api.client.v2.model.SpansQueryOptions;
import com.datadog.api.client.v2.model.SpansSort;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    SpansApi apiInstance = new SpansApi(defaultClient);

    SpansListRequest body =
        new SpansListRequest()
            .data(
                new SpansListRequestData()
                    .attributes(
                        new SpansListRequestAttributes()
                            .filter(
                                new SpansQueryFilter()
                                    .from("now-15m")
                                    .query("service:python*")
                                    .to("now"))
                            .options(new SpansQueryOptions().timezone("GMT"))
                            .page(new SpansListRequestPage().limit(2))
                            .sort(SpansSort.TIMESTAMP_ASCENDING))
                    .type(SpansListRequestType.SEARCH_REQUEST));

    try {
      PaginationIterable<Span> iterable = apiInstance.listSpansWithPagination(body);

      for (Span item : iterable) {
        System.out.println(item);
      }
    } catch (RuntimeException e) {
      System.err.println("Exception when calling SpansApi#listSpansWithPagination");
      System.err.println("Reason: " + e.getMessage());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" java "Example.java"
"""
Search spans returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.spans_api import SpansApi
from datadog_api_client.v2.model.spans_list_request import SpansListRequest
from datadog_api_client.v2.model.spans_list_request_attributes import SpansListRequestAttributes
from datadog_api_client.v2.model.spans_list_request_data import SpansListRequestData
from datadog_api_client.v2.model.spans_list_request_page import SpansListRequestPage
from datadog_api_client.v2.model.spans_list_request_type import SpansListRequestType
from datadog_api_client.v2.model.spans_query_filter import SpansQueryFilter
from datadog_api_client.v2.model.spans_query_options import SpansQueryOptions
from datadog_api_client.v2.model.spans_sort import SpansSort

body = SpansListRequest(
    data=SpansListRequestData(
        attributes=SpansListRequestAttributes(
            filter=SpansQueryFilter(
                _from="now-15m",
                query="*",
                to="now",
            ),
            options=SpansQueryOptions(
                timezone="GMT",
            ),
            page=SpansListRequestPage(
                limit=25,
            ),
            sort=SpansSort.TIMESTAMP_ASCENDING,
        ),
        type=SpansListRequestType.SEARCH_REQUEST,
    ),
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = SpansApi(api_client)
    response = api_instance.list_spans(body=body)

    print(response)
"""
Search spans returns "OK" response with pagination
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.spans_api import SpansApi
from datadog_api_client.v2.model.spans_list_request import SpansListRequest
from datadog_api_client.v2.model.spans_list_request_attributes import SpansListRequestAttributes
from datadog_api_client.v2.model.spans_list_request_data import SpansListRequestData
from datadog_api_client.v2.model.spans_list_request_page import SpansListRequestPage
from datadog_api_client.v2.model.spans_list_request_type import SpansListRequestType
from datadog_api_client.v2.model.spans_query_filter import SpansQueryFilter
from datadog_api_client.v2.model.spans_query_options import SpansQueryOptions
from datadog_api_client.v2.model.spans_sort import SpansSort

body = SpansListRequest(
    data=SpansListRequestData(
        attributes=SpansListRequestAttributes(
            filter=SpansQueryFilter(
                _from="now-15m",
                query="service:python*",
                to="now",
            ),
            options=SpansQueryOptions(
                timezone="GMT",
            ),
            page=SpansListRequestPage(
                limit=2,
            ),
            sort=SpansSort.TIMESTAMP_ASCENDING,
        ),
        type=SpansListRequestType.SEARCH_REQUEST,
    ),
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = SpansApi(api_client)
    items = api_instance.list_spans_with_pagination(body=body)
    for item in items:
        print(item)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" python3 "example.py"
# Search spans returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::SpansAPI.new

body = DatadogAPIClient::V2::SpansListRequest.new({
  data: DatadogAPIClient::V2::SpansListRequestData.new({
    attributes: DatadogAPIClient::V2::SpansListRequestAttributes.new({
      filter: DatadogAPIClient::V2::SpansQueryFilter.new({
        from: "now-15m",
        query: "*",
        to: "now",
      }),
      options: DatadogAPIClient::V2::SpansQueryOptions.new({
        timezone: "GMT",
      }),
      page: DatadogAPIClient::V2::SpansListRequestPage.new({
        limit: 25,
      }),
      sort: DatadogAPIClient::V2::SpansSort::TIMESTAMP_ASCENDING,
    }),
    type: DatadogAPIClient::V2::SpansListRequestType::SEARCH_REQUEST,
  }),
})
p api_instance.list_spans(body)
# Search spans returns "OK" response with pagination

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::SpansAPI.new

body = DatadogAPIClient::V2::SpansListRequest.new({
  data: DatadogAPIClient::V2::SpansListRequestData.new({
    attributes: DatadogAPIClient::V2::SpansListRequestAttributes.new({
      filter: DatadogAPIClient::V2::SpansQueryFilter.new({
        from: "now-15m",
        query: "service:python*",
        to: "now",
      }),
      options: DatadogAPIClient::V2::SpansQueryOptions.new({
        timezone: "GMT",
      }),
      page: DatadogAPIClient::V2::SpansListRequestPage.new({
        limit: 2,
      }),
      sort: DatadogAPIClient::V2::SpansSort::TIMESTAMP_ASCENDING,
    }),
    type: DatadogAPIClient::V2::SpansListRequestType::SEARCH_REQUEST,
  }),
})
api_instance.list_spans_with_pagination(body) { |item| puts item }

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" rb "example.rb"
/**
 * Search spans returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.SpansApi(configuration);

const params: v2.SpansApiListSpansRequest = {
  body: {
    data: {
      attributes: {
        filter: {
          from: "now-15m",
          query: "*",
          to: "now",
        },
        options: {
          timezone: "GMT",
        },
        page: {
          limit: 25,
        },
        sort: "timestamp",
      },
      type: "search_request",
    },
  },
};

apiInstance
  .listSpans(params)
  .then((data: v2.SpansListResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));
/**
 * Search spans returns "OK" response with pagination
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.SpansApi(configuration);

const params: v2.SpansApiListSpansRequest = {
  body: {
    data: {
      attributes: {
        filter: {
          from: "now-15m",
          query: "service:python*",
          to: "now",
        },
        options: {
          timezone: "GMT",
        },
        page: {
          limit: 2,
        },
        sort: "timestamp",
      },
      type: "search_request",
    },
  },
};

(async () => {
  try {
    for await (const item of apiInstance.listSpansWithPagination(params)) {
      console.log(item);
    }
  } catch (error) {
    console.error(error);
  }
})();

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" tsc "example.ts"

POST https://api.ap1.datadoghq.com/api/v2/spans/analytics/aggregatehttps://api.datadoghq.eu/api/v2/spans/analytics/aggregatehttps://api.ddog-gov.com/api/v2/spans/analytics/aggregatehttps://api.datadoghq.com/api/v2/spans/analytics/aggregatehttps://api.us3.datadoghq.com/api/v2/spans/analytics/aggregatehttps://api.us5.datadoghq.com/api/v2/spans/analytics/aggregate

개요

The API endpoint to aggregate spans into buckets and compute metrics and timeseries. This endpoint is rate limited to 300 requests per hour.

요청

Body Data (required)

Expand All

항목

유형

설명

data

object

The object containing the query content.

attributes

object

The object containing all the query parameters.

compute

[object]

The list of metrics or timeseries to compute for the retrieved buckets.

aggregation [required]

enum

An aggregation function. Allowed enum values: count,cardinality,pc75,pc90,pc95,pc98,pc99,sum,min,max,avg,median

interval

string

The time buckets' size (only used for type=timeseries) Defaults to a resolution of 150 points.

metric

string

The metric to use.

type

enum

The type of compute. Allowed enum values: timeseries,total

default: total

filter

object

The search and filter query settings.

from

string

The minimum time for the requested spans, supports date-time ISO8601, date math, and regular timestamps (milliseconds).

default: now-15m

query

string

The search query - following the span search syntax.

default: *

to

string

The maximum time for the requested spans, supports date-time ISO8601, date math, and regular timestamps (milliseconds).

default: now

group_by

[object]

The rules for the group by.

facet [required]

string

The name of the facet to use (required).

histogram

object

Used to perform a histogram computation (only for measure facets). Note: At most 100 buckets are allowed, the number of buckets is (max - min)/interval.

interval [required]

double

The bin size of the histogram buckets.

max [required]

double

The maximum value for the measure used in the histogram (values greater than this one are filtered out).

min [required]

double

The minimum value for the measure used in the histogram (values smaller than this one are filtered out).

limit

int64

The maximum buckets to return for this group by.

default: 10

missing

 <oneOf>

The value to use for spans that don't have the facet used to group by.

Option 1

string

The missing value to use if there is string valued facet.

Option 2

double

The missing value to use if there is a number valued facet.

sort

object

A sort rule.

aggregation

enum

An aggregation function. Allowed enum values: count,cardinality,pc75,pc90,pc95,pc98,pc99,sum,min,max,avg,median

metric

string

The metric to sort by (only used for type=measure).

order

enum

The order to use, ascending or descending. Allowed enum values: asc,desc

type

enum

The type of sorting algorithm. Allowed enum values: alphabetical,measure

default: alphabetical

total

 <oneOf>

A resulting object to put the given computes in over all the matching records.

Option 1

boolean

If set to true, creates an additional bucket labeled "$facet_total".

Option 2

string

A string to use as the key value for the total bucket.

Option 3

double

A number to use as the key value for the total bucket.

options

object

Global query options that are used during the query. Note: You should only supply timezone or time offset but not both otherwise the query will fail.

timeOffset

int64

The time offset (in seconds) to apply to the query.

timezone

string

The timezone can be specified as GMT, UTC, an offset from UTC (like UTC+1), or as a Timezone Database identifier (like America/New_York).

default: UTC

type

enum

The type of resource. The value should always be aggregate_request. Allowed enum values: aggregate_request

default: aggregate_request

{
  "data": {
    "attributes": {
      "compute": [
        {
          "aggregation": "count",
          "interval": "5m",
          "type": "timeseries"
        }
      ],
      "filter": {
        "from": "now-15m",
        "query": "*",
        "to": "now"
      }
    },
    "type": "aggregate_request"
  }
}

응답

OK

The response object for the spans aggregate API endpoint.

Expand All

항목

유형

설명

data

[object]

The list of matching buckets, one item per bucket.

attributes

object

A bucket values.

by

object

The key, value pairs for each group by.

<any-key>

The values for each group by.

compute

object

The compute data.

computes

object

A map of the metric name -> value for regular compute or list of values for a timeseries.

<any-key>

 <oneOf>

A bucket value, can be either a timeseries or a single value.

Option 1

string

A single string value.

Option 2

double

A single number value.

Option 3

[object]

A timeseries array.

time

string

The time value for this point.

value

double

The value for this point.

id

string

ID of the spans aggregate.

type

enum

The spans aggregate bucket type. Allowed enum values: bucket

meta

object

The metadata associated with a request.

elapsed

int64

The time elapsed in milliseconds.

request_id

string

The identifier of the request.

status

enum

The status of the response. Allowed enum values: done,timeout

warnings

[object]

A list of warnings (non fatal errors) encountered, partial results might be returned if warnings are present in the response.

code

string

A unique code for this type of warning.

detail

string

A detailed explanation of this specific warning.

title

string

A short human-readable summary of the warning.

{
  "data": [
    {
      "attributes": {
        "by": {
          "<any-key>": "undefined"
        },
        "compute": {},
        "computes": {
          "<any-key>": {
            "description": "undefined",
            "type": "undefined"
          }
        }
      },
      "id": "string",
      "type": "bucket"
    }
  ],
  "meta": {
    "elapsed": 132,
    "request_id": "MWlFUjVaWGZTTTZPYzM0VXp1OXU2d3xLSVpEMjZKQ0VKUTI0dEYtM3RSOFVR",
    "status": "done",
    "warnings": [
      {
        "code": "unknown_index",
        "detail": "indexes: foo, bar",
        "title": "One or several indexes are missing or invalid, results hold data from the other indexes"
      }
    ]
  }
}

Bad Request

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Code Example

                          # Curl command
curl -X POST "https://api.ap1.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/spans/analytics/aggregate" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \ -d @- << EOF { "data": { "attributes": { "compute": [ { "aggregation": "count", "interval": "5m", "type": "timeseries" } ], "filter": { "from": "now-15m", "query": "*", "to": "now" } }, "type": "aggregate_request" } } EOF
// Aggregate spans returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	body := datadogV2.SpansAggregateRequest{
		Data: &datadogV2.SpansAggregateData{
			Attributes: &datadogV2.SpansAggregateRequestAttributes{
				Compute: []datadogV2.SpansCompute{
					{
						Aggregation: datadogV2.SPANSAGGREGATIONFUNCTION_COUNT,
						Interval:    datadog.PtrString("5m"),
						Type:        datadogV2.SPANSCOMPUTETYPE_TIMESERIES.Ptr(),
					},
				},
				Filter: &datadogV2.SpansQueryFilter{
					From:  datadog.PtrString("now-15m"),
					Query: datadog.PtrString("*"),
					To:    datadog.PtrString("now"),
				},
			},
			Type: datadogV2.SPANSAGGREGATEREQUESTTYPE_AGGREGATE_REQUEST.Ptr(),
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewSpansApi(apiClient)
	resp, r, err := api.AggregateSpans(ctx, body)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `SpansApi.AggregateSpans`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `SpansApi.AggregateSpans`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" go run "main.go"
// Aggregate spans returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.SpansApi;
import com.datadog.api.client.v2.model.SpansAggregateData;
import com.datadog.api.client.v2.model.SpansAggregateRequest;
import com.datadog.api.client.v2.model.SpansAggregateRequestAttributes;
import com.datadog.api.client.v2.model.SpansAggregateRequestType;
import com.datadog.api.client.v2.model.SpansAggregateResponse;
import com.datadog.api.client.v2.model.SpansAggregationFunction;
import com.datadog.api.client.v2.model.SpansCompute;
import com.datadog.api.client.v2.model.SpansComputeType;
import com.datadog.api.client.v2.model.SpansQueryFilter;
import java.util.Collections;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    SpansApi apiInstance = new SpansApi(defaultClient);

    SpansAggregateRequest body =
        new SpansAggregateRequest()
            .data(
                new SpansAggregateData()
                    .attributes(
                        new SpansAggregateRequestAttributes()
                            .compute(
                                Collections.singletonList(
                                    new SpansCompute()
                                        .aggregation(SpansAggregationFunction.COUNT)
                                        .interval("5m")
                                        .type(SpansComputeType.TIMESERIES)))
                            .filter(new SpansQueryFilter().from("now-15m").query("*").to("now")))
                    .type(SpansAggregateRequestType.AGGREGATE_REQUEST));

    try {
      SpansAggregateResponse result = apiInstance.aggregateSpans(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling SpansApi#aggregateSpans");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" java "Example.java"
"""
Aggregate spans returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.spans_api import SpansApi
from datadog_api_client.v2.model.spans_aggregate_data import SpansAggregateData
from datadog_api_client.v2.model.spans_aggregate_request import SpansAggregateRequest
from datadog_api_client.v2.model.spans_aggregate_request_attributes import SpansAggregateRequestAttributes
from datadog_api_client.v2.model.spans_aggregate_request_type import SpansAggregateRequestType
from datadog_api_client.v2.model.spans_aggregation_function import SpansAggregationFunction
from datadog_api_client.v2.model.spans_compute import SpansCompute
from datadog_api_client.v2.model.spans_compute_type import SpansComputeType
from datadog_api_client.v2.model.spans_query_filter import SpansQueryFilter

body = SpansAggregateRequest(
    data=SpansAggregateData(
        attributes=SpansAggregateRequestAttributes(
            compute=[
                SpansCompute(
                    aggregation=SpansAggregationFunction.COUNT,
                    interval="5m",
                    type=SpansComputeType.TIMESERIES,
                ),
            ],
            filter=SpansQueryFilter(
                _from="now-15m",
                query="*",
                to="now",
            ),
        ),
        type=SpansAggregateRequestType.AGGREGATE_REQUEST,
    ),
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = SpansApi(api_client)
    response = api_instance.aggregate_spans(body=body)

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" python3 "example.py"
# Aggregate spans returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::SpansAPI.new

body = DatadogAPIClient::V2::SpansAggregateRequest.new({
  data: DatadogAPIClient::V2::SpansAggregateData.new({
    attributes: DatadogAPIClient::V2::SpansAggregateRequestAttributes.new({
      compute: [
        DatadogAPIClient::V2::SpansCompute.new({
          aggregation: DatadogAPIClient::V2::SpansAggregationFunction::COUNT,
          interval: "5m",
          type: DatadogAPIClient::V2::SpansComputeType::TIMESERIES,
        }),
      ],
      filter: DatadogAPIClient::V2::SpansQueryFilter.new({
        from: "now-15m",
        query: "*",
        to: "now",
      }),
    }),
    type: DatadogAPIClient::V2::SpansAggregateRequestType::AGGREGATE_REQUEST,
  }),
})
p api_instance.aggregate_spans(body)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" rb "example.rb"
/**
 * Aggregate spans returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.SpansApi(configuration);

const params: v2.SpansApiAggregateSpansRequest = {
  body: {
    data: {
      attributes: {
        compute: [
          {
            aggregation: "count",
            interval: "5m",
            type: "timeseries",
          },
        ],
        filter: {
          from: "now-15m",
          query: "*",
          to: "now",
        },
      },
      type: "aggregate_request",
    },
  },
};

apiInstance
  .aggregateSpans(params)
  .then((data: v2.SpansAggregateResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" tsc "example.ts"