--- title: 스팬 검색 description: 목록 엔드포인트는 스팬 검색 쿼리와 일치하는 스팬을 반환합니다. [결과는 페이지별로 표시됩니다][1]. breadcrumbs: 문서 > API > 스팬 검색 --- > For the complete documentation index, see [llms.txt](https://dnd37xeb23o8n.cloudfront.net/jen.gilbert/astro-base/llms.txt). # 스팬 검색 ## v2 (latest) | Datadog site | API endpoint | | ----------------- | ------------------------------------------------------------- | | app.datadoghq.com | POST https://api.datadoghq.com/api/v2/spans/events/search | | us3.datadoghq.com | POST https://api.us3.datadoghq.com/api/v2/spans/events/search | | us5.datadoghq.com | POST https://api.us5.datadoghq.com/api/v2/spans/events/search | | app.datadoghq.eu | POST https://api.datadoghq.eu/api/v2/spans/events/search | | ap1.datadoghq.com | POST https://api.ap1.datadoghq.com/api/v2/spans/events/search | | ap2.datadoghq.com | POST https://api.ap2.datadoghq.com/api/v2/spans/events/search | | uk1.datadoghq.com | POST https://api.uk1.datadoghq.com/api/v2/spans/events/search | | app.ddog-gov.com | POST https://api.ddog-gov.com/api/v2/spans/events/search | | us2.ddog-gov.com | POST https://api.us2.ddog-gov.com/api/v2/spans/events/search | ### Overview 목록 엔드포인트는 스팬 검색 쿼리와 일치하는 스팬을 반환합니다. [결과는 페이지별로 표시됩니다](https://dnd37xeb23o8n.cloudfront.net/logs/guide/collect-multiple-logs-with-pagination.md?tab=v2api). 이 엔드포인트를 사용하면 복잡한 스팬 필터링 및 검색을 구축할 수 있습니다. 이 엔드포인트는 시간당 `300`개의 요청으로 속도가 제한됩니다. OAuth apps require the `apm_read` authorization [scope](https://dnd37xeb23o8n.cloudfront.net/jen.gilbert/astro-base/ko/api/latest/scopes.md#spans) to access this endpoint. ### Request #### Body Data (required) {% tabs %} {% tab label="Model" %} | Parent field | Field | Type | Description | | ------------ | ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------- | | | data | object | 스팬 목록에 대한 요청입니다. | | data | attributes | object | The object containing all the query parameters. | | attributes | filter | object | The search and filter query settings. | | filter | from | string | The minimum time for the requested spans, supports date-time ISO8601, date math, and regular timestamps (milliseconds). Default: `now-15m`. | | filter | query | string | The search query - following the span search syntax. Default: `*`. | | filter | to | string | The maximum time for the requested spans, supports date-time ISO8601, date math, and regular timestamps (milliseconds). Default: `now`. | | attributes | 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. | | options | timeOffset | int64 | The time offset (in seconds) to apply to the query. | | options | 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`. | | attributes | page | object | Paging attributes for listing spans. | | page | cursor | string | List following results with a cursor provided in the previous query. | | page | limit | int32 | Maximum number of spans in the response. Default: `10`. | | attributes | sort | enum | Sort parameters when querying spans. Allowed enum values: `timestamp`, `-timestamp`. | | data | type | enum | The type of resource. The value should always be search_request. Allowed enum values: `search_request`. Default: `search_request`. | {% /tab %} {% tab label="Example" %} **Search spans returns "OK" response** ```json { "data": { "attributes": { "filter": { "from": "now-15m", "query": "*", "to": "now" }, "options": { "timezone": "GMT" }, "page": { "limit": 25 }, "sort": "timestamp" }, "type": "search_request" } } ``` **Search spans returns "OK" response with pagination** ```json { "data": { "attributes": { "filter": { "from": "now-15m", "query": "service:python*", "to": "now" }, "options": { "timezone": "GMT" }, "page": { "limit": 2 }, "sort": "timestamp" }, "type": "search_request" } } ``` {% /tab %} {% /tabs %} ### Response {% tabs %} {% tab label="200" %} OK {% tabs %} {% tab label="Model" %} Response object with all spans matching the request and pagination information. | Parent field | Field | Type | Description | | ------------ | ---------------- | --------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | | data | [object] | Array of spans matching the request. | | data | attributes | object | JSON object containing all span attributes and their associated values. | | attributes | attributes | object | JSON object of attributes from your span. | | attributes | custom | object | JSON object of custom spans data. | | attributes | end_timestamp | date-time | End timestamp of your span. | | attributes | env | string | Name of the environment from where the spans are being sent. | | attributes | host | string | Name of the machine from where the spans are being sent. | | attributes | ingestion_reason | string | The reason why the span was ingested. | | attributes | parent_id | string | Id of the span that's parent of this span. | | attributes | resource_hash | string | Unique identifier of the resource. | | attributes | resource_name | string | The name of the resource. | | attributes | retained_by | string | The reason why the span was indexed. | | attributes | 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. | | attributes | single_span | boolean | Whether or not the span was collected as a stand-alone span. Always associated to "single_span" ingestion_reason if true. | | attributes | span_id | string | Id of the span. | | attributes | start_timestamp | date-time | Start timestamp of your span. | | attributes | tags | [string] | Array of tags associated with your span. | | attributes | trace_id | string | Id of the trace to which the span belongs. | | attributes | type | string | The type of the span. | | data | id | string | Unique ID of the Span. | | data | type | enum | Type of the span. Allowed enum values: `spans`. Default: `spans`. | | | links | object | Links attributes. | | links | 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. | | meta | elapsed | int64 | The time elapsed in milliseconds. | | meta | page | object | Paging attributes. | | page | 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]`. | | meta | request_id | string | The identifier of the request. | | meta | status | enum | The status of the response. Allowed enum values: `done`, `timeout`. | | meta | warnings | [object] | A list of warnings (non fatal errors) encountered, partial results might be returned if warnings are present in the response. | | warnings | code | string | A unique code for this type of warning. | | warnings | detail | string | A detailed explanation of this specific warning. | | warnings | title | string | A short human-readable summary of the warning. | {% /tab %} {% tab label="Example" %} ```json { "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&page[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" } ] } } ``` {% /tab %} {% /tabs %} {% /tab %} {% tab label="400" %} Bad Request. {% tabs %} {% tab label="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab label="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tabs %} {% /tab %} {% tab label="403" %} Forbidden: Access denied. {% tabs %} {% tab label="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab label="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tabs %} {% /tab %} {% tab label="422" %} Unprocessable Entity. {% tabs %} {% tab label="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab label="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tabs %} {% /tab %} {% tab label="429" %} Too many requests: The rate limit set by the API has been exceeded. {% tabs %} {% tab label="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab label="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tabs %} {% /tab %} {% /tabs %} ### Code Example {% tabs %} {% tab label="Curl" %} ```bash # Set your Datadog site and credentials export DD_SITE="datadoghq.com" # Or us3.datadoghq.com, us5.datadoghq.com, datadoghq.eu, ap1.datadoghq.com, ap2.datadoghq.com, uk1.datadoghq.com, ddog-gov.com, us2.ddog-gov.com # Use a Personal Access Token or Service Access Token export DD_BEARER_TOKEN="" curl -X POST "https://api.${DD_SITE}/api/v2/spans/events/search" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer ${DD_BEARER_TOKEN}" \ -d @- << EOF { "data": { "attributes": { "filter": { "from": "now-15m", "query": "*", "to": "now" }, "options": { "timezone": "GMT" }, "page": { "limit": 25 }, "sort": "timestamp" }, "type": "search_request" } } EOF ``` ```bash # Set your Datadog site and credentials export DD_SITE="datadoghq.com" # Or us3.datadoghq.com, us5.datadoghq.com, datadoghq.eu, ap1.datadoghq.com, ap2.datadoghq.com, uk1.datadoghq.com, ddog-gov.com, us2.ddog-gov.com # Use a Personal Access Token or Service Access Token export DD_BEARER_TOKEN="" curl -X POST "https://api.${DD_SITE}/api/v2/spans/events/search" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer ${DD_BEARER_TOKEN}" \ -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 ``` {% /tab %} {% tab label="Go" %} ```go // 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()) ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN")) 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) } ``` ```go // 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()) ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN")) 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](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=go) and then save the example to `main.go` and run following commands: ```bash DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" go run "main.go" ``` {% /tab %} {% tab label="Java" %} ```java // 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(); defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN")); 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(); } } } ``` ```java // 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(); defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN")); 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 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](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=java) and then save the example to `Example.java` and run following commands: ```bash DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" java "Example.java" ``` {% /tab %} {% tab label="Python" %} ```python """ Search spans returns "OK" response """ from os import environ 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() configuration.access_token = environ["DD_BEARER_TOKEN"] with ApiClient(configuration) as api_client: api_instance = SpansApi(api_client) response = api_instance.list_spans(body=body) print(response) ``` ```python """ Search spans returns "OK" response with pagination """ from os import environ 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() configuration.access_token = environ["DD_BEARER_TOKEN"] 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](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=python) and then save the example to `example.py` and run following commands: ```bash DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" python3 "example.py" ``` {% /tab %} {% tab label="Ruby" %} ```ruby # Search spans returns "OK" response require "datadog_api_client" DatadogAPIClient.configure do |config| config.access_token = ENV["DD_BEARER_TOKEN"] end 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) ``` ```ruby # Search spans returns "OK" response with pagination require "datadog_api_client" DatadogAPIClient.configure do |config| config.access_token = ENV["DD_BEARER_TOKEN"] end 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](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=ruby) and then save the example to `example.rb` and run following commands: ```bash DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" rb "example.rb" ``` {% /tab %} {% tab label="Rust" %} ```rust // Search spans returns "OK" response use datadog_api_client::datadog; use datadog_api_client::datadogV2::api_spans::SpansAPI; use datadog_api_client::datadogV2::model::SpansListRequest; use datadog_api_client::datadogV2::model::SpansListRequestAttributes; use datadog_api_client::datadogV2::model::SpansListRequestData; use datadog_api_client::datadogV2::model::SpansListRequestPage; use datadog_api_client::datadogV2::model::SpansListRequestType; use datadog_api_client::datadogV2::model::SpansQueryFilter; use datadog_api_client::datadogV2::model::SpansQueryOptions; use datadog_api_client::datadogV2::model::SpansSort; #[tokio::main] async fn main() { let body = SpansListRequest::new().data( SpansListRequestData::new() .attributes( SpansListRequestAttributes::new() .filter( SpansQueryFilter::new() .from("now-15m".to_string()) .query("*".to_string()) .to("now".to_string()), ) .options(SpansQueryOptions::new().timezone("GMT".to_string())) .page(SpansListRequestPage::new().limit(25)) .sort(SpansSort::TIMESTAMP_ASCENDING), ) .type_(SpansListRequestType::SEARCH_REQUEST), ); let configuration = datadog::Configuration::new(); let api = SpansAPI::with_config(configuration); let resp = api.list_spans(body).await; if let Ok(value) = resp { println!("{:#?}", value); } else { println!("{:#?}", resp.unwrap_err()); } } ``` ```rust // Search spans returns "OK" response with pagination use datadog_api_client::datadog; use datadog_api_client::datadogV2::api_spans::SpansAPI; use datadog_api_client::datadogV2::model::SpansListRequest; use datadog_api_client::datadogV2::model::SpansListRequestAttributes; use datadog_api_client::datadogV2::model::SpansListRequestData; use datadog_api_client::datadogV2::model::SpansListRequestPage; use datadog_api_client::datadogV2::model::SpansListRequestType; use datadog_api_client::datadogV2::model::SpansQueryFilter; use datadog_api_client::datadogV2::model::SpansQueryOptions; use datadog_api_client::datadogV2::model::SpansSort; use futures_util::pin_mut; use futures_util::stream::StreamExt; #[tokio::main] async fn main() { let body = SpansListRequest::new().data( SpansListRequestData::new() .attributes( SpansListRequestAttributes::new() .filter( SpansQueryFilter::new() .from("now-15m".to_string()) .query("service:python*".to_string()) .to("now".to_string()), ) .options(SpansQueryOptions::new().timezone("GMT".to_string())) .page(SpansListRequestPage::new().limit(2)) .sort(SpansSort::TIMESTAMP_ASCENDING), ) .type_(SpansListRequestType::SEARCH_REQUEST), ); let configuration = datadog::Configuration::new(); let api = SpansAPI::with_config(configuration); let response = api.list_spans_with_pagination(body); pin_mut!(response); while let Some(resp) = response.next().await { if let Ok(value) = resp { println!("{:#?}", value); } else { println!("{:#?}", resp.unwrap_err()); } } } ``` #### Instructions First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=rust) and then save the example to `src/main.rs` and run following commands: ```bash DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" cargo run ``` {% /tab %} {% tab label="TypeScript" %} ```typescript /** * Search spans returns "OK" response */ import { client, v2 } from "@datadog/datadog-api-client"; const configuration = client.createConfiguration({ authMethods: { AuthZ: { accessToken: process.env.DD_BEARER_TOKEN as string, }, }, }); 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)); ``` ```typescript /** * Search spans returns "OK" response with pagination */ import { client, v2 } from "@datadog/datadog-api-client"; const configuration = client.createConfiguration({ authMethods: { AuthZ: { accessToken: process.env.DD_BEARER_TOKEN as string, }, }, }); 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](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=typescript) and then save the example to `example.ts` and run following commands: ```bash DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" tsc "example.ts" ``` {% /tab %} {% /tabs %}