아카이브 업데이트
PUT
https://api.datadoghq.com/api/v2/logs/config/archives/{archive_id}https://api.us3.datadoghq.com/api/v2/logs/config/archives/{archive_id}https://api.us5.datadoghq.com/api/v2/logs/config/archives/{archive_id}https://api.datadoghq.eu/api/v2/logs/config/archives/{archive_id}https://api.ap1.datadoghq.com/api/v2/logs/config/archives/{archive_id}https://api.ap2.datadoghq.com/api/v2/logs/config/archives/{archive_id}https://api.uk1.datadoghq.com/api/v2/logs/config/archives/{archive_id}https://api.ddog-gov.com/api/v2/logs/config/archives/{archive_id}https://api.us2.ddog-gov.com/api/v2/logs/config/archives/{archive_id}개요
지정된 아카이브 구성을 업데이트합니다.
참고: 이 메서드를 사용하면 현재 구성이 Datadog 조직에 전송된 새 구성으로 대체되어 파이프라인 구성이 업데이트됩니다.
인수
경로 파라미터
이름
유형
설명
archive_id [required]string
The ID of the archive.
요청
Body Data (required)
아카이브의 새로운 정의.
항목
유형
설명
dataobject
로그 아카이브.
attributesobject
The attributes associated with the archive.
compression_methodenum
The type of compression for the archive.
ZSTDAllowed enum values:
GZIP, ZSTDdestination [required]<oneOf>
An archive's destination.
<type=azure>object
The Azure archive destination.
container [required]string
The container where the archive will be stored.
integration [required]object
The Azure archive's integration destination.
client_id [required]string
A client ID.
tenant_id [required]string
A tenant ID.
pathstring
The archive path.
regionstring
The region where the archive will be stored.
storage_account [required]string
The associated storage account.
type [required]enum
Type of the Azure archive destination.
azureAllowed enum values:
azure<type=gcs>object
The GCS archive destination.
bucket [required]string
The bucket where the archive will be stored.
integration [required]object
The GCS archive's integration destination.
client_email [required]string
A client email.
project_idstring
A project ID.
pathstring
The archive path.
type [required]enum
Type of the GCS archive destination.
gcsAllowed enum values:
gcs<type=s3>object
The S3 archive destination.
bucket [required]string
The bucket where the archive will be stored.
encryptionobject
The S3 encryption settings.
keystring
An Amazon Resource Name (ARN) used to identify an AWS KMS key.
type [required]enum
Type of S3 encryption for a destination.
Allowed enum values:
NO_OVERRIDE, SSE_S3, SSE_KMSintegration [required]<oneOf>
The S3 Archive's integration destination. You must provide one of the following: access_key_id alone, or both account_id and role_name together.
Object 1object
The S3 Archive's integration destination using an access key.
access_key_id [required]string
The access key ID for the integration.
Object 2object
The S3 Archive's integration destination using an IAM role.
account_id [required]string
The account ID for the integration.
role_name [required]string
The name of the role to assume for the integration.
pathstring
The archive path.
storage_classenum
The storage class where the archive will be stored.
STANDARDAllowed enum values:
STANDARD, STANDARD_IA, ONEZONE_IA, INTELLIGENT_TIERING, GLACIER_IRtype [required]enum
Type of the S3 archive destination.
s3Allowed enum values:
s3include_tagsboolean
To store the tags in the archive, set the value "true". If it is set to "false", the tags will be deleted when the logs are sent to the archive.
falselookup_attributes[string]
An array of attributes to use as lookup keys for the archive.
name [required]string
The archive name.
partitioning_attributes[string]
An array of attributes to use as partition keys for the archive. The attribute used most frequently for querying should be first.
query [required]string
The archive query/filter. Logs matching this query are included in the archive.
rehydration_max_scan_size_in_gbint64
Maximum scan size for rehydration from this archive.
rehydration_tags[string]
An array of tags to add to rehydrated logs from an archive.
type [required]string
The type of the resource. The value should always be archives.
archives{
"data": {
"attributes": {
"compression_method": "ZSTD",
"destination": {
"container": "container-name",
"integration": {
"client_id": "aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa",
"tenant_id": "aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa"
},
"path": "string",
"region": "string",
"storage_account": "account-name",
"type": "azure"
},
"include_tags": false,
"lookup_attributes": [
"trace_id",
"user_id"
],
"name": "Nginx Archive",
"partitioning_attributes": [
"service",
"status"
],
"query": "source:nginx",
"rehydration_max_scan_size_in_gb": 100,
"rehydration_tags": [
"team:intake",
"team:app"
]
},
"type": "archives"
}
}응답
OK
The logs archive.
항목
유형
설명
dataobject
The definition of an archive.
attributesobject
The attributes associated with the archive.
compression_methodenum
The type of compression for the archive.
ZSTDAllowed enum values:
GZIP, ZSTDdestination [required]object <oneOf>
An archive's destination.
<type=azure>object
The Azure archive destination.
container [required]string
The container where the archive will be stored.
integration [required]object
The Azure archive's integration destination.
client_id [required]string
A client ID.
tenant_id [required]string
A tenant ID.
pathstring
The archive path.
regionstring
The region where the archive will be stored.
storage_account [required]string
The associated storage account.
type [required]enum
Type of the Azure archive destination.
azureAllowed enum values:
azure<type=gcs>object
The GCS archive destination.
bucket [required]string
The bucket where the archive will be stored.
integration [required]object
The GCS archive's integration destination.
client_email [required]string
A client email.
project_idstring
A project ID.
pathstring
The archive path.
type [required]enum
Type of the GCS archive destination.
gcsAllowed enum values:
gcs<type=s3>object
The S3 archive destination.
bucket [required]string
The bucket where the archive will be stored.
encryptionobject
The S3 encryption settings.
keystring
An Amazon Resource Name (ARN) used to identify an AWS KMS key.
type [required]enum
Type of S3 encryption for a destination.
Allowed enum values:
NO_OVERRIDE, SSE_S3, SSE_KMSintegration [required]<oneOf>
The S3 Archive's integration destination. You must provide one of the following: access_key_id alone, or both account_id and role_name together.
Object 1object
The S3 Archive's integration destination using an access key.
access_key_id [required]string
The access key ID for the integration.
Object 2object
The S3 Archive's integration destination using an IAM role.
account_id [required]string
The account ID for the integration.
role_name [required]string
The name of the role to assume for the integration.
pathstring
The archive path.
storage_classenum
The storage class where the archive will be stored.
STANDARDAllowed enum values:
STANDARD, STANDARD_IA, ONEZONE_IA, INTELLIGENT_TIERING, GLACIER_IRtype [required]enum
Type of the S3 archive destination.
s3Allowed enum values:
s3include_tagsboolean
To store the tags in the archive, set the value "true". If it is set to "false", the tags will be deleted when the logs are sent to the archive.
falselookup_attributes[string]
An array of attributes to use as lookup keys for the archive.
name [required]string
The archive name.
partitioning_attributes[string]
An array of attributes to use as partition keys for the archive. The attribute used most frequently for querying should be first.
query [required]string
The archive query/filter. Logs matching this query are included in the archive.
rehydration_max_scan_size_in_gbint64
Maximum scan size for rehydration from this archive.
rehydration_tags[string]
An array of tags to add to rehydrated logs from an archive.
stateenum
The state of the archive.
Allowed enum values:
UNKNOWN, WORKING, FAILING, WORKING_AUTH_LEGACYidstring
The archive ID.
type [required]string
The type of the resource. The value should always be archives.
archives{
"data": {
"attributes": {
"compression_method": "ZSTD",
"destination": {
"container": "container-name",
"integration": {
"client_id": "aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa",
"tenant_id": "aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa"
},
"path": "string",
"region": "string",
"storage_account": "account-name",
"type": "azure"
},
"include_tags": false,
"lookup_attributes": [
"trace_id",
"user_id"
],
"name": "Nginx Archive",
"partitioning_attributes": [
"service",
"status"
],
"query": "source:nginx",
"rehydration_max_scan_size_in_gb": 100,
"rehydration_tags": [
"team:intake",
"team:app"
],
"state": "WORKING"
},
"id": "a2zcMylnM4OCHpYusxIi3g",
"type": "archives"
}
}Bad Request
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Forbidden
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Not found
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Too many requests
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}코드 예시
아카이브 업데이트
## default
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"compression_method": "ZSTD",
"destination": {
"container": "container-name",
"storage_account": "account-name",
"type": "azure"
},
"include_tags": false,
"name": "Nginx Archive",
"query": "source:nginx",
"rehydration_max_scan_size_in_gb": 100,
"rehydration_tags": [
"team:intake",
"team:app"
]
},
"type": "archives"
}
}
EOF
## s3_access_key_id
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"destination": {
"bucket": "my-bucket",
"integration": {
"access_key_id": "AKIAIOSFODNN7EXAMPLE"
},
"type": "s3"
},
"name": "Nginx Archive",
"query": "source:nginx"
},
"type": "archives"
}
}
EOF## default
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"compression_method": "ZSTD",
"destination": {
"container": "container-name",
"storage_account": "account-name",
"type": "azure"
},
"include_tags": false,
"name": "Nginx Archive",
"query": "source:nginx",
"rehydration_max_scan_size_in_gb": 100,
"rehydration_tags": [
"team:intake",
"team:app"
]
},
"type": "archives"
}
}
EOF
## s3_access_key_id
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"destination": {
"bucket": "my-bucket",
"integration": {
"access_key_id": "AKIAIOSFODNN7EXAMPLE"
},
"type": "s3"
},
"name": "Nginx Archive",
"query": "source:nginx"
},
"type": "archives"
}
}
EOF## default
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"compression_method": "ZSTD",
"destination": {
"container": "container-name",
"storage_account": "account-name",
"type": "azure"
},
"include_tags": false,
"name": "Nginx Archive",
"query": "source:nginx",
"rehydration_max_scan_size_in_gb": 100,
"rehydration_tags": [
"team:intake",
"team:app"
]
},
"type": "archives"
}
}
EOF
## s3_access_key_id
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"destination": {
"bucket": "my-bucket",
"integration": {
"access_key_id": "AKIAIOSFODNN7EXAMPLE"
},
"type": "s3"
},
"name": "Nginx Archive",
"query": "source:nginx"
},
"type": "archives"
}
}
EOF## default
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"compression_method": "ZSTD",
"destination": {
"container": "container-name",
"storage_account": "account-name",
"type": "azure"
},
"include_tags": false,
"name": "Nginx Archive",
"query": "source:nginx",
"rehydration_max_scan_size_in_gb": 100,
"rehydration_tags": [
"team:intake",
"team:app"
]
},
"type": "archives"
}
}
EOF
## s3_access_key_id
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"destination": {
"bucket": "my-bucket",
"integration": {
"access_key_id": "AKIAIOSFODNN7EXAMPLE"
},
"type": "s3"
},
"name": "Nginx Archive",
"query": "source:nginx"
},
"type": "archives"
}
}
EOF## default
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"compression_method": "ZSTD",
"destination": {
"container": "container-name",
"storage_account": "account-name",
"type": "azure"
},
"include_tags": false,
"name": "Nginx Archive",
"query": "source:nginx",
"rehydration_max_scan_size_in_gb": 100,
"rehydration_tags": [
"team:intake",
"team:app"
]
},
"type": "archives"
}
}
EOF
## s3_access_key_id
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"destination": {
"bucket": "my-bucket",
"integration": {
"access_key_id": "AKIAIOSFODNN7EXAMPLE"
},
"type": "s3"
},
"name": "Nginx Archive",
"query": "source:nginx"
},
"type": "archives"
}
}
EOF## default
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"compression_method": "ZSTD",
"destination": {
"container": "container-name",
"storage_account": "account-name",
"type": "azure"
},
"include_tags": false,
"name": "Nginx Archive",
"query": "source:nginx",
"rehydration_max_scan_size_in_gb": 100,
"rehydration_tags": [
"team:intake",
"team:app"
]
},
"type": "archives"
}
}
EOF
## s3_access_key_id
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"destination": {
"bucket": "my-bucket",
"integration": {
"access_key_id": "AKIAIOSFODNN7EXAMPLE"
},
"type": "s3"
},
"name": "Nginx Archive",
"query": "source:nginx"
},
"type": "archives"
}
}
EOF## default
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"compression_method": "ZSTD",
"destination": {
"container": "container-name",
"storage_account": "account-name",
"type": "azure"
},
"include_tags": false,
"name": "Nginx Archive",
"query": "source:nginx",
"rehydration_max_scan_size_in_gb": 100,
"rehydration_tags": [
"team:intake",
"team:app"
]
},
"type": "archives"
}
}
EOF
## s3_access_key_id
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"destination": {
"bucket": "my-bucket",
"integration": {
"access_key_id": "AKIAIOSFODNN7EXAMPLE"
},
"type": "s3"
},
"name": "Nginx Archive",
"query": "source:nginx"
},
"type": "archives"
}
}
EOF## default
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"compression_method": "ZSTD",
"destination": {
"container": "container-name",
"storage_account": "account-name",
"type": "azure"
},
"include_tags": false,
"name": "Nginx Archive",
"query": "source:nginx",
"rehydration_max_scan_size_in_gb": 100,
"rehydration_tags": [
"team:intake",
"team:app"
]
},
"type": "archives"
}
}
EOF
## s3_access_key_id
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"destination": {
"bucket": "my-bucket",
"integration": {
"access_key_id": "AKIAIOSFODNN7EXAMPLE"
},
"type": "s3"
},
"name": "Nginx Archive",
"query": "source:nginx"
},
"type": "archives"
}
}
EOF## default
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"compression_method": "ZSTD",
"destination": {
"container": "container-name",
"storage_account": "account-name",
"type": "azure"
},
"include_tags": false,
"name": "Nginx Archive",
"query": "source:nginx",
"rehydration_max_scan_size_in_gb": 100,
"rehydration_tags": [
"team:intake",
"team:app"
]
},
"type": "archives"
}
}
EOF
## s3_access_key_id
# Path parameters
export archive_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PUT "https://api.${DD_SITE}/api/v2/logs/config/archives/${archive_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"destination": {
"bucket": "my-bucket",
"integration": {
"access_key_id": "AKIAIOSFODNN7EXAMPLE"
},
"type": "s3"
},
"name": "Nginx Archive",
"query": "source:nginx"
},
"type": "archives"
}
}
EOF아카이브 업데이트
// Update an archive 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.LogsArchiveCreateRequest{
Data: &datadogV2.LogsArchiveCreateRequestDefinition{
Attributes: &datadogV2.LogsArchiveCreateRequestAttributes{
CompressionMethod: datadogV2.LOGSARCHIVEATTRIBUTESCOMPRESSIONMETHOD_GZIP.Ptr(),
Destination: datadogV2.LogsArchiveCreateRequestDestination{
LogsArchiveDestinationAzure: &datadogV2.LogsArchiveDestinationAzure{
Container: "container-name",
Integration: datadogV2.LogsArchiveIntegrationAzure{
ClientId: "aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa",
TenantId: "aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa",
},
StorageAccount: "account-name",
Type: datadogV2.LOGSARCHIVEDESTINATIONAZURETYPE_AZURE,
}},
IncludeTags: datadog.PtrBool(false),
LookupAttributes: []string{
"trace_id",
"user_id",
},
Name: "Nginx Archive",
PartitioningAttributes: []string{
"service",
"status",
},
Query: "source:nginx",
RehydrationMaxScanSizeInGb: *datadog.NewNullableInt64(datadog.PtrInt64(100)),
RehydrationTags: []string{
"team:intake",
"team:app",
},
},
Type: "archives",
},
}
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.NewLogsArchivesApi(apiClient)
resp, r, err := api.UpdateLogsArchive(ctx, "archive_id", body)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `LogsArchivesApi.UpdateLogsArchive`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `LogsArchivesApi.UpdateLogsArchive`:\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_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"아카이브 업데이트
// Update an archive returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.LogsArchivesApi;
import com.datadog.api.client.v2.model.LogsArchive;
import com.datadog.api.client.v2.model.LogsArchiveAttributesCompressionMethod;
import com.datadog.api.client.v2.model.LogsArchiveCreateRequest;
import com.datadog.api.client.v2.model.LogsArchiveCreateRequestAttributes;
import com.datadog.api.client.v2.model.LogsArchiveCreateRequestDefinition;
import com.datadog.api.client.v2.model.LogsArchiveCreateRequestDestination;
import com.datadog.api.client.v2.model.LogsArchiveDestinationAzure;
import com.datadog.api.client.v2.model.LogsArchiveDestinationAzureType;
import com.datadog.api.client.v2.model.LogsArchiveIntegrationAzure;
import java.util.Arrays;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
LogsArchivesApi apiInstance = new LogsArchivesApi(defaultClient);
LogsArchiveCreateRequest body =
new LogsArchiveCreateRequest()
.data(
new LogsArchiveCreateRequestDefinition()
.attributes(
new LogsArchiveCreateRequestAttributes()
.compressionMethod(LogsArchiveAttributesCompressionMethod.GZIP)
.destination(
new LogsArchiveCreateRequestDestination(
new LogsArchiveDestinationAzure()
.container("container-name")
.integration(
new LogsArchiveIntegrationAzure()
.clientId("aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa")
.tenantId("aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa"))
.storageAccount("account-name")
.type(LogsArchiveDestinationAzureType.AZURE)))
.includeTags(false)
.lookupAttributes(Arrays.asList("trace_id", "user_id"))
.name("Nginx Archive")
.partitioningAttributes(Arrays.asList("service", "status"))
.query("source:nginx")
.rehydrationMaxScanSizeInGb(100L)
.rehydrationTags(Arrays.asList("team:intake", "team:app")))
.type("archives"));
try {
LogsArchive result = apiInstance.updateLogsArchive("archive_id", body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling LogsArchivesApi#updateLogsArchive");
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_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"아카이브 업데이트
"""
Update an archive returns "OK" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.logs_archives_api import LogsArchivesApi
from datadog_api_client.v2.model.logs_archive_attributes_compression_method import (
LogsArchiveAttributesCompressionMethod,
)
from datadog_api_client.v2.model.logs_archive_create_request import LogsArchiveCreateRequest
from datadog_api_client.v2.model.logs_archive_create_request_attributes import LogsArchiveCreateRequestAttributes
from datadog_api_client.v2.model.logs_archive_create_request_definition import LogsArchiveCreateRequestDefinition
from datadog_api_client.v2.model.logs_archive_destination_azure import LogsArchiveDestinationAzure
from datadog_api_client.v2.model.logs_archive_destination_azure_type import LogsArchiveDestinationAzureType
from datadog_api_client.v2.model.logs_archive_integration_azure import LogsArchiveIntegrationAzure
body = LogsArchiveCreateRequest(
data=LogsArchiveCreateRequestDefinition(
attributes=LogsArchiveCreateRequestAttributes(
compression_method=LogsArchiveAttributesCompressionMethod.GZIP,
destination=LogsArchiveDestinationAzure(
container="container-name",
integration=LogsArchiveIntegrationAzure(
client_id="aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa",
tenant_id="aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa",
),
storage_account="account-name",
type=LogsArchiveDestinationAzureType.AZURE,
),
include_tags=False,
lookup_attributes=[
"trace_id",
"user_id",
],
name="Nginx Archive",
partitioning_attributes=[
"service",
"status",
],
query="source:nginx",
rehydration_max_scan_size_in_gb=100,
rehydration_tags=[
"team:intake",
"team:app",
],
),
type="archives",
),
)
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
api_instance = LogsArchivesApi(api_client)
response = api_instance.update_logs_archive(archive_id="archive_id", 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_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"아카이브 업데이트
# Update an archive returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::LogsArchivesAPI.new
body = DatadogAPIClient::V2::LogsArchiveCreateRequest.new({
data: DatadogAPIClient::V2::LogsArchiveCreateRequestDefinition.new({
attributes: DatadogAPIClient::V2::LogsArchiveCreateRequestAttributes.new({
compression_method: DatadogAPIClient::V2::LogsArchiveAttributesCompressionMethod::GZIP,
destination: DatadogAPIClient::V2::LogsArchiveDestinationAzure.new({
container: "container-name",
integration: DatadogAPIClient::V2::LogsArchiveIntegrationAzure.new({
client_id: "aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa",
tenant_id: "aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa",
}),
storage_account: "account-name",
type: DatadogAPIClient::V2::LogsArchiveDestinationAzureType::AZURE,
}),
include_tags: false,
lookup_attributes: [
"trace_id",
"user_id",
],
name: "Nginx Archive",
partitioning_attributes: [
"service",
"status",
],
query: "source:nginx",
rehydration_max_scan_size_in_gb: 100,
rehydration_tags: [
"team:intake",
"team:app",
],
}),
type: "archives",
}),
})
p api_instance.update_logs_archive("archive_id", 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_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"아카이브 업데이트
// Update an archive returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_logs_archives::LogsArchivesAPI;
use datadog_api_client::datadogV2::model::LogsArchiveAttributesCompressionMethod;
use datadog_api_client::datadogV2::model::LogsArchiveCreateRequest;
use datadog_api_client::datadogV2::model::LogsArchiveCreateRequestAttributes;
use datadog_api_client::datadogV2::model::LogsArchiveCreateRequestDefinition;
use datadog_api_client::datadogV2::model::LogsArchiveCreateRequestDestination;
use datadog_api_client::datadogV2::model::LogsArchiveDestinationAzure;
use datadog_api_client::datadogV2::model::LogsArchiveDestinationAzureType;
use datadog_api_client::datadogV2::model::LogsArchiveIntegrationAzure;
#[tokio::main]
async fn main() {
let body = LogsArchiveCreateRequest::new().data(
LogsArchiveCreateRequestDefinition::new("archives".to_string()).attributes(
LogsArchiveCreateRequestAttributes::new(
LogsArchiveCreateRequestDestination::LogsArchiveDestinationAzure(Box::new(
LogsArchiveDestinationAzure::new(
"container-name".to_string(),
LogsArchiveIntegrationAzure::new(
"aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa".to_string(),
"aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa".to_string(),
),
"account-name".to_string(),
LogsArchiveDestinationAzureType::AZURE,
),
)),
"Nginx Archive".to_string(),
"source:nginx".to_string(),
)
.compression_method(LogsArchiveAttributesCompressionMethod::GZIP)
.include_tags(false)
.lookup_attributes(vec!["trace_id".to_string(), "user_id".to_string()])
.partitioning_attributes(vec!["service".to_string(), "status".to_string()])
.rehydration_max_scan_size_in_gb(Some(100))
.rehydration_tags(vec!["team:intake".to_string(), "team:app".to_string()]),
),
);
let configuration = datadog::Configuration::new();
let api = LogsArchivesAPI::with_config(configuration);
let resp = api
.update_logs_archive("archive_id".to_string(), body)
.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="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run아카이브 업데이트
/**
* Update an archive 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.LogsArchivesApi(configuration);
const params: v2.LogsArchivesApiUpdateLogsArchiveRequest = {
body: {
data: {
attributes: {
compressionMethod: "GZIP",
destination: {
container: "container-name",
integration: {
clientId: "aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa",
tenantId: "aaaaaaaa-1a1a-1a1a-1a1a-aaaaaaaaaaaa",
},
storageAccount: "account-name",
type: "azure",
},
includeTags: false,
lookupAttributes: ["trace_id", "user_id"],
name: "Nginx Archive",
partitioningAttributes: ["service", "status"],
query: "source:nginx",
rehydrationMaxScanSizeInGb: 100,
rehydrationTags: ["team:intake", "team:app"],
},
type: "archives",
},
},
archiveId: "archive_id",
};
apiInstance
.updateLogsArchive(params)
.then((data: v2.LogsArchive) => {
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_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"