분포 포인트 제출하기
POST
https://api.datadoghq.com/api/v1/distribution_pointshttps://api.us3.datadoghq.com/api/v1/distribution_pointshttps://api.us5.datadoghq.com/api/v1/distribution_pointshttps://api.datadoghq.eu/api/v1/distribution_pointshttps://api.ap1.datadoghq.com/api/v1/distribution_pointshttps://api.ap2.datadoghq.com/api/v1/distribution_pointshttps://api.uk1.datadoghq.com/api/v1/distribution_pointshttps://api.ddog-gov.com/api/v1/distribution_pointshttps://api.us2.ddog-gov.com/api/v1/distribution_points개요
분포 포인트 엔드포인트를 사용하면 Datadog 대시보드에 그래프로 표시할 수 있는 분포 데이터를 게시할 수 있습니다.
인수
헤더 파라미터
이름
유형
설명
Content-Encodingenum
HTTP header used to compress the media-type.
Allowed enum values:
deflate요청
Body Data (required)
항목
유형
설명
series [required][object]
분포 포인트 페이로드입니다.
hoststring
The name of the host that produced the distribution point metric.
metric [required]string
The name of the distribution points metric.
points [required][array]
Points relating to the distribution point metric. All points must be tuples with timestamp and a list of values (cannot be a string). Timestamps should be in POSIX time in seconds.
tags[string]
A list of tags associated with the distribution point metric.
typeenum
The type of the distribution point.
distributionAllowed enum values:
distributionSubmit deflate distribution points returns "Payload accepted" response
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}Submit distribution points returns "Payload accepted" response
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}응답
Payload accepted
The payload accepted for intake.
항목
유형
설명
statusstring
The status of the intake payload.
{
"status": "ok"
}Bad Request
Error response object.
항목
유형
설명
errors [required][string]
Array of errors returned by the API.
{
"errors": [
"Bad Request"
]
}Authentication error
Error response object.
항목
유형
설명
errors [required][string]
Array of errors returned by the API.
{
"errors": [
"Bad Request"
]
}Request timeout
Error response object.
항목
유형
설명
errors [required][string]
Array of errors returned by the API.
{
"errors": [
"Bad Request"
]
}Payload too large
Error response object.
항목
유형
설명
errors [required][string]
Array of errors returned by the API.
{
"errors": [
"Bad Request"
]
}Too many requests
Error response object.
항목
유형
설명
errors [required][string]
Array of errors returned by the API.
{
"errors": [
"Bad Request"
]
}코드 예시
Submit deflate distribution points returns "Payload accepted" response
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
export DD_API_KEY="<DD_API_KEY>"
printf '%s' "$(cat <<'EOF'
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF
)" | python3 -c 'import sys, zlib; sys.stdout.buffer.write(zlib.compress(sys.stdin.buffer.read()))' | curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Content-Encoding: deflate" \
-H "DD-API-KEY: ${DD_API_KEY}" \
--data-binary @-# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
export DD_API_KEY="<DD_API_KEY>"
printf '%s' "$(cat <<'EOF'
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF
)" | python3 -c 'import sys, zlib; sys.stdout.buffer.write(zlib.compress(sys.stdin.buffer.read()))' | curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Content-Encoding: deflate" \
-H "DD-API-KEY: ${DD_API_KEY}" \
--data-binary @-# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
export DD_API_KEY="<DD_API_KEY>"
printf '%s' "$(cat <<'EOF'
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF
)" | python3 -c 'import sys, zlib; sys.stdout.buffer.write(zlib.compress(sys.stdin.buffer.read()))' | curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Content-Encoding: deflate" \
-H "DD-API-KEY: ${DD_API_KEY}" \
--data-binary @-# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
export DD_API_KEY="<DD_API_KEY>"
printf '%s' "$(cat <<'EOF'
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF
)" | python3 -c 'import sys, zlib; sys.stdout.buffer.write(zlib.compress(sys.stdin.buffer.read()))' | curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Content-Encoding: deflate" \
-H "DD-API-KEY: ${DD_API_KEY}" \
--data-binary @-# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
export DD_API_KEY="<DD_API_KEY>"
printf '%s' "$(cat <<'EOF'
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF
)" | python3 -c 'import sys, zlib; sys.stdout.buffer.write(zlib.compress(sys.stdin.buffer.read()))' | curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Content-Encoding: deflate" \
-H "DD-API-KEY: ${DD_API_KEY}" \
--data-binary @-# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
export DD_API_KEY="<DD_API_KEY>"
printf '%s' "$(cat <<'EOF'
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF
)" | python3 -c 'import sys, zlib; sys.stdout.buffer.write(zlib.compress(sys.stdin.buffer.read()))' | curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Content-Encoding: deflate" \
-H "DD-API-KEY: ${DD_API_KEY}" \
--data-binary @-# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
export DD_API_KEY="<DD_API_KEY>"
printf '%s' "$(cat <<'EOF'
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF
)" | python3 -c 'import sys, zlib; sys.stdout.buffer.write(zlib.compress(sys.stdin.buffer.read()))' | curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Content-Encoding: deflate" \
-H "DD-API-KEY: ${DD_API_KEY}" \
--data-binary @-# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
export DD_API_KEY="<DD_API_KEY>"
printf '%s' "$(cat <<'EOF'
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF
)" | python3 -c 'import sys, zlib; sys.stdout.buffer.write(zlib.compress(sys.stdin.buffer.read()))' | curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Content-Encoding: deflate" \
-H "DD-API-KEY: ${DD_API_KEY}" \
--data-binary @-# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
export DD_API_KEY="<DD_API_KEY>"
printf '%s' "$(cat <<'EOF'
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF
)" | python3 -c 'import sys, zlib; sys.stdout.buffer.write(zlib.compress(sys.stdin.buffer.read()))' | curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Content-Encoding: deflate" \
-H "DD-API-KEY: ${DD_API_KEY}" \
--data-binary @-Submit distribution points returns "Payload accepted" response
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
export DD_API_KEY="<DD_API_KEY>"
curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-d @- << EOF
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
export DD_API_KEY="<DD_API_KEY>"
curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-d @- << EOF
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
export DD_API_KEY="<DD_API_KEY>"
curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-d @- << EOF
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
export DD_API_KEY="<DD_API_KEY>"
curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-d @- << EOF
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
export DD_API_KEY="<DD_API_KEY>"
curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-d @- << EOF
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
export DD_API_KEY="<DD_API_KEY>"
curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-d @- << EOF
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
export DD_API_KEY="<DD_API_KEY>"
curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-d @- << EOF
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
export DD_API_KEY="<DD_API_KEY>"
curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-d @- << EOF
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOF# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
export DD_API_KEY="<DD_API_KEY>"
curl -X POST "https://api.${DD_SITE}/api/v1/distribution_points" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-d @- << EOF
{
"series": [
{
"metric": "system.load.1.dist",
"points": [
[
1636629071,
[
1.0,
2.0
]
]
]
}
]
}
EOFSubmit deflate distribution points returns "Payload accepted" response
// Submit deflate distribution points returns "Payload accepted" response
package main
import (
"context"
"encoding/json"
"fmt"
"os"
"time"
"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)
func main() {
body := datadogV1.DistributionPointsPayload{
Series: []datadogV1.DistributionPointsSeries{
{
Metric: "system.load.1.dist",
Points: [][]datadogV1.DistributionPointItem{
{
{DistributionPointTimestamp: datadog.PtrFloat64(float64(time.Now().Unix()))},
{DistributionPointData: &[]float64{
1.0,
2.0,
}},
},
},
},
},
}
ctx := datadog.NewDefaultContext(context.Background())
configuration := datadog.NewConfiguration()
apiClient := datadog.NewAPIClient(configuration)
api := datadogV1.NewMetricsApi(apiClient)
resp, r, err := api.SubmitDistributionPoints(ctx, body, *datadogV1.NewSubmitDistributionPointsOptionalParameters().WithContentEncoding(datadogV1.DISTRIBUTIONPOINTSCONTENTENCODING_DEFLATE))
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `MetricsApi.SubmitDistributionPoints`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `MetricsApi.SubmitDistributionPoints`:\n%s\n", responseContent)
}
Submit distribution points returns "Payload accepted" response
// Submit distribution points returns "Payload accepted" response
package main
import (
"context"
"encoding/json"
"fmt"
"os"
"time"
"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)
func main() {
body := datadogV1.DistributionPointsPayload{
Series: []datadogV1.DistributionPointsSeries{
{
Metric: "system.load.1.dist",
Points: [][]datadogV1.DistributionPointItem{
{
{DistributionPointTimestamp: datadog.PtrFloat64(float64(time.Now().Unix()))},
{DistributionPointData: &[]float64{
1.0,
2.0,
}},
},
},
},
},
}
ctx := datadog.NewDefaultContext(context.Background())
configuration := datadog.NewConfiguration()
apiClient := datadog.NewAPIClient(configuration)
api := datadogV1.NewMetricsApi(apiClient)
resp, r, err := api.SubmitDistributionPoints(ctx, body, *datadogV1.NewSubmitDistributionPointsOptionalParameters())
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `MetricsApi.SubmitDistributionPoints`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `MetricsApi.SubmitDistributionPoints`:\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.com" DD_API_KEY="<DD_API_KEY>" go run "main.go"DD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" go run "main.go"DD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" go run "main.go"DD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" go run "main.go"DD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" go run "main.go"DD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" go run "main.go"DD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" go run "main.go"DD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" go run "main.go"DD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" go run "main.go"Submit deflate distribution points returns "Payload accepted" response
// Submit deflate distribution points returns "Payload accepted" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.MetricsApi;
import com.datadog.api.client.v1.api.MetricsApi.SubmitDistributionPointsOptionalParameters;
import com.datadog.api.client.v1.model.DistributionPointItem;
import com.datadog.api.client.v1.model.DistributionPointsContentEncoding;
import com.datadog.api.client.v1.model.DistributionPointsPayload;
import com.datadog.api.client.v1.model.DistributionPointsSeries;
import com.datadog.api.client.v1.model.IntakePayloadAccepted;
import java.time.OffsetDateTime;
import java.util.Arrays;
import java.util.Collections;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
MetricsApi apiInstance = new MetricsApi(defaultClient);
DistributionPointsPayload body =
new DistributionPointsPayload()
.series(
Collections.singletonList(
new DistributionPointsSeries()
.metric("system.load.1.dist")
.points(
Collections.singletonList(
Arrays.asList(
new DistributionPointItem(
Long.valueOf(
OffsetDateTime.now().toInstant().getEpochSecond())
.doubleValue()),
new DistributionPointItem(Arrays.asList(1.0, 2.0)))))));
try {
IntakePayloadAccepted result =
apiInstance.submitDistributionPoints(
body,
new SubmitDistributionPointsOptionalParameters()
.contentEncoding(DistributionPointsContentEncoding.DEFLATE));
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling MetricsApi#submitDistributionPoints");
System.err.println("Status code: " + e.getCode());
System.err.println("Reason: " + e.getResponseBody());
System.err.println("Response headers: " + e.getResponseHeaders());
e.printStackTrace();
}
}
}
Submit distribution points returns "Payload accepted" response
// Submit distribution points returns "Payload accepted" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.MetricsApi;
import com.datadog.api.client.v1.model.DistributionPointItem;
import com.datadog.api.client.v1.model.DistributionPointsPayload;
import com.datadog.api.client.v1.model.DistributionPointsSeries;
import com.datadog.api.client.v1.model.IntakePayloadAccepted;
import java.time.OffsetDateTime;
import java.util.Arrays;
import java.util.Collections;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
MetricsApi apiInstance = new MetricsApi(defaultClient);
DistributionPointsPayload body =
new DistributionPointsPayload()
.series(
Collections.singletonList(
new DistributionPointsSeries()
.metric("system.load.1.dist")
.points(
Collections.singletonList(
Arrays.asList(
new DistributionPointItem(
Long.valueOf(
OffsetDateTime.now().toInstant().getEpochSecond())
.doubleValue()),
new DistributionPointItem(Arrays.asList(1.0, 2.0)))))));
try {
IntakePayloadAccepted result = apiInstance.submitDistributionPoints(body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling MetricsApi#submitDistributionPoints");
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.com" DD_API_KEY="<DD_API_KEY>" java "Example.java"DD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" java "Example.java"DD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" java "Example.java"DD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" java "Example.java"DD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" java "Example.java"DD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" java "Example.java"DD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" java "Example.java"DD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" java "Example.java"DD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" java "Example.java"Submit deflate distribution points returns "Payload accepted" response
"""
Submit deflate distribution points returns "Payload accepted" response
"""
from datetime import datetime
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.metrics_api import MetricsApi
from datadog_api_client.v1.model.distribution_point import DistributionPoint
from datadog_api_client.v1.model.distribution_points_content_encoding import DistributionPointsContentEncoding
from datadog_api_client.v1.model.distribution_points_payload import DistributionPointsPayload
from datadog_api_client.v1.model.distribution_points_series import DistributionPointsSeries
body = DistributionPointsPayload(
series=[
DistributionPointsSeries(
metric="system.load.1.dist",
points=[
DistributionPoint(
[
datetime.now().timestamp(),
[1.0, 2.0],
]
),
],
),
],
)
configuration = Configuration()
with ApiClient(configuration) as api_client:
api_instance = MetricsApi(api_client)
response = api_instance.submit_distribution_points(
content_encoding=DistributionPointsContentEncoding.DEFLATE, body=body
)
print(response)
Submit distribution points returns "Payload accepted" response
"""
Submit distribution points returns "Payload accepted" response
"""
from datetime import datetime
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.metrics_api import MetricsApi
from datadog_api_client.v1.model.distribution_point import DistributionPoint
from datadog_api_client.v1.model.distribution_points_payload import DistributionPointsPayload
from datadog_api_client.v1.model.distribution_points_series import DistributionPointsSeries
body = DistributionPointsPayload(
series=[
DistributionPointsSeries(
metric="system.load.1.dist",
points=[
DistributionPoint(
[
datetime.now().timestamp(),
[1.0, 2.0],
]
),
],
),
],
)
configuration = Configuration()
with ApiClient(configuration) as api_client:
api_instance = MetricsApi(api_client)
response = api_instance.submit_distribution_points(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.com" DD_API_KEY="<DD_API_KEY>" python3 "example.py"DD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" python3 "example.py"DD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" python3 "example.py"DD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" python3 "example.py"DD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" python3 "example.py"DD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" python3 "example.py"DD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" python3 "example.py"DD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" python3 "example.py"DD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" python3 "example.py"Submit deflate distribution points returns "Payload accepted" response
# Submit deflate distribution points returns "Payload accepted" response
require "datadog_api_client"
api_instance = DatadogAPIClient::V1::MetricsAPI.new
body = DatadogAPIClient::V1::DistributionPointsPayload.new({
series: [
DatadogAPIClient::V1::DistributionPointsSeries.new({
metric: "system.load.1.dist",
points: [
[
Time.now,
[
1.0,
2.0,
],
],
],
}),
],
})
opts = {
content_encoding: DistributionPointsContentEncoding::DEFLATE,
}
p api_instance.submit_distribution_points(body, opts)
Submit distribution points returns "Payload accepted" response
# Submit distribution points returns "Payload accepted" response
require "datadog_api_client"
api_instance = DatadogAPIClient::V1::MetricsAPI.new
body = DatadogAPIClient::V1::DistributionPointsPayload.new({
series: [
DatadogAPIClient::V1::DistributionPointsSeries.new({
metric: "system.load.1.dist",
points: [
[
Time.now,
[
1.0,
2.0,
],
],
],
}),
],
})
p api_instance.submit_distribution_points(body)
Instructions
First install the library and its dependencies and then save the example to example.rb and run following commands:
DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" rb "example.rb"DD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" rb "example.rb"DD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" rb "example.rb"DD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" rb "example.rb"DD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" rb "example.rb"DD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" rb "example.rb"DD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" rb "example.rb"DD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" rb "example.rb"DD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" rb "example.rb"Submit deflate distribution points returns "Payload accepted" response
// Submit deflate distribution points returns "Payload accepted" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_metrics::MetricsAPI;
use datadog_api_client::datadogV1::api_metrics::SubmitDistributionPointsOptionalParams;
use datadog_api_client::datadogV1::model::DistributionPointItem;
use datadog_api_client::datadogV1::model::DistributionPointsContentEncoding;
use datadog_api_client::datadogV1::model::DistributionPointsPayload;
use datadog_api_client::datadogV1::model::DistributionPointsSeries;
#[tokio::main]
async fn main() {
let body = DistributionPointsPayload::new(vec![DistributionPointsSeries::new(
"system.load.1.dist".to_string(),
vec![vec![
DistributionPointItem::DistributionPointTimestamp(1636629071.0 as f64),
DistributionPointItem::DistributionPointData(vec![1.0, 2.0]),
]],
)]);
let configuration = datadog::Configuration::new();
let api = MetricsAPI::with_config(configuration);
let resp = api
.submit_distribution_points(
body,
SubmitDistributionPointsOptionalParams::default()
.content_encoding(DistributionPointsContentEncoding::DEFLATE),
)
.await;
if let Ok(value) = resp {
println!("{:#?}", value);
} else {
println!("{:#?}", resp.unwrap_err());
}
}
Submit distribution points returns "Payload accepted" response
// Submit distribution points returns "Payload accepted" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_metrics::MetricsAPI;
use datadog_api_client::datadogV1::api_metrics::SubmitDistributionPointsOptionalParams;
use datadog_api_client::datadogV1::model::DistributionPointItem;
use datadog_api_client::datadogV1::model::DistributionPointsPayload;
use datadog_api_client::datadogV1::model::DistributionPointsSeries;
#[tokio::main]
async fn main() {
let body = DistributionPointsPayload::new(vec![DistributionPointsSeries::new(
"system.load.1.dist".to_string(),
vec![vec![
DistributionPointItem::DistributionPointTimestamp(1636629071.0 as f64),
DistributionPointItem::DistributionPointData(vec![1.0, 2.0]),
]],
)]);
let configuration = datadog::Configuration::new();
let api = MetricsAPI::with_config(configuration);
let resp = api
.submit_distribution_points(body, SubmitDistributionPointsOptionalParams::default())
.await;
if let Ok(value) = resp {
println!("{:#?}", value);
} else {
println!("{:#?}", resp.unwrap_err());
}
}
Instructions
First install the library and its dependencies and then save the example to src/main.rs and run following commands:
DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" cargo runSubmit deflate distribution points returns "Payload accepted" response
/**
* Submit deflate distribution points returns "Payload accepted" response
*/
import { client, v1 } from "@datadog/datadog-api-client";
const configuration = client.createConfiguration();
const apiInstance = new v1.MetricsApi(configuration);
const params: v1.MetricsApiSubmitDistributionPointsRequest = {
body: {
series: [
{
metric: "system.load.1.dist",
points: [[Math.round(new Date().getTime() / 1000), [1.0, 2.0]]],
},
],
},
contentEncoding: "deflate",
};
apiInstance
.submitDistributionPoints(params)
.then((data: v1.IntakePayloadAccepted) => {
console.log(
"API called successfully. Returned data: " + JSON.stringify(data)
);
})
.catch((error: any) => console.error(error));
Submit distribution points returns "Payload accepted" response
/**
* Submit distribution points returns "Payload accepted" response
*/
import { client, v1 } from "@datadog/datadog-api-client";
const configuration = client.createConfiguration();
const apiInstance = new v1.MetricsApi(configuration);
const params: v1.MetricsApiSubmitDistributionPointsRequest = {
body: {
series: [
{
metric: "system.load.1.dist",
points: [[Math.round(new Date().getTime() / 1000), [1.0, 2.0]]],
},
],
},
};
apiInstance
.submitDistributionPoints(params)
.then((data: v1.IntakePayloadAccepted) => {
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.com" DD_API_KEY="<DD_API_KEY>" tsc "example.ts"DD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" tsc "example.ts"DD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" tsc "example.ts"DD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" tsc "example.ts"DD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" tsc "example.ts"DD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" tsc "example.ts"DD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" tsc "example.ts"DD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" tsc "example.ts"DD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" tsc "example.ts"