Update a Databricks integration account
https://api.datadoghq.com/api/v2/integration-interfaces/databricks/accounts/{account_id}https://api.us3.datadoghq.com/api/v2/integration-interfaces/databricks/accounts/{account_id}https://api.us5.datadoghq.com/api/v2/integration-interfaces/databricks/accounts/{account_id}https://api.datadoghq.eu/api/v2/integration-interfaces/databricks/accounts/{account_id}https://api.ap1.datadoghq.com/api/v2/integration-interfaces/databricks/accounts/{account_id}https://api.ap2.datadoghq.com/api/v2/integration-interfaces/databricks/accounts/{account_id}https://api.uk1.datadoghq.com/api/v2/integration-interfaces/databricks/accounts/{account_id}https://api.ddog-gov.com/api/v2/integration-interfaces/databricks/accounts/{account_id}https://api.us2.ddog-gov.com/api/v2/integration-interfaces/databricks/accounts/{account_id}Descripción general
Update a Databricks integration account. Only the fields provided are changed.
Argumentos
Parámetros de ruta
account_id [required]Unique identifier of the integration account.
Solicitud
Body Data (required)
data [required]Data envelope for updating a Databricks integration account.
attributes [required]Writable attributes used to update a Databricks integration account. Every field is optional; only the fields provided are changed. When dataflows is provided, only the dataflow ids included in the request are modified; dataflows omitted from the map keep their current configuration, as do the settings of an included dataflow that provides only enabled.
authenticationAuthentication for updating the Databricks integration account. Exactly one method is set. Choosing private_action_runner leaves the databricks-model-serving-metrics dataflow unable to collect data. bearer_token is deprecated on Databricks: it is accepted only on accounts that already use it and never on creation, so it cannot move an account onto token authentication. Migrate those accounts to databricks_oauth or private_action_runner.
<auth_type=databricks_oauth>Databricks OAuth machine-to-machine authentication using a service principal. Only the fields provided are changed; omit client_secret to keep the stored one.
auth_type [required]The authentication method type.
databricks_oauthdatabricks_oauthazure_tenant_idMicrosoft Entra ID tenant of the service principal, for Azure Databricks workspaces. Omit it to keep the stored tenant, send null or an empty string to remove it, or send a value to replace it.
client_idClient ID of the Databricks service principal.
client_secretSecret of the Databricks service principal. Generate it under User management > Service principals > Credentials & secrets in Databricks.
<auth_type=private_action_runner>Private Action Runner authentication. The runner holds the Databricks credentials, so this method carries no secrets. Only the fields provided are changed.
auth_type [required]The authentication method type.
private_action_runnerprivate_action_runnerconnection_idUnique identifier of the Private Action Runner connection holding the credentials.
secret_pathPath of the credential inside the secret backend configured on the runner. Omit it to keep the stored path, send null or an empty string to remove it, or send a value to replace it.
user_uuidUnique identifier of the user the Private Action Runner connection belongs to.
<auth_type=bearer_token>Bearer token authentication. The credential is a single opaque secret, a Databricks personal access token, with no accompanying non-secret identifier. The method is deprecated: Databricks accepts it only on accounts that already use it, and never on creation. Only the fields provided are changed; omit token to keep the stored one.
auth_type [required]The authentication method type.
bearer_tokenbearer_tokentokenSecret token used to authenticate with Databricks.
dataflowsData Datadog collects from Databricks, keyed by dataflow id. Each dataflow turns on a distinct kind of collection: set enabled to start or stop it, and use settings to configure what it collects. Defaults listed on each dataflow apply when the account is created; on update, omitted fields keep their current values. Some dataflows have prerequisites, noted on each; unless one is documented as rejecting the request, it is not verified, so a dataflow enabled without it is stored but collects no data.
databricks-cloud-cost-metricsCost data collected from your Databricks system tables. Cloud Cost Management must be enabled for your organization while this dataflow is on; any request that leaves it enabled without that is rejected with a 422 response.
enabledWhether Datadog collects this data. Defaults to false; set to true to start collection.
settingsSettings of the Cloud Cost Management dataflow. Only the fields provided are changed.
ccm_collect_all_workspacesWhether cost data is collected for every workspace in the Databricks account rather than this workspace only. This takes effect across the Databricks account: if any one workspace enables it, Datadog collects cost data for all of them regardless of their individual settings, and every covered workspace incurs Cloud Cost Management charges. Defaults to true.
databricks-data-observability-jobs-monitoringData Jobs Monitoring, which collects performance, reliability, and cost data for your Databricks jobs.
enabledWhether Datadog collects this data. Defaults to true; set to false to stop collection.
settingsSettings of the Data Jobs Monitoring dataflow. Only the fields provided are changed.
dd_api_key_idID of the Datadog API key the global init script uses to submit data. Setting or changing it requires dd_api_key_secret in the same request.
dd_api_key_secretSecret value of the Datadog API key identified by dd_api_key_id.
djm_global_init_script_enabledWhether Datadog installs and manages the Agent on your Databricks clusters through a global init script. Installation can take up to 15 minutes and requires Databricks Workspace Admin permissions. The script does not apply to clusters in Standard access mode. Leave this false to install the Agent yourself. Defaults to false.
script_gpum_enabledWhether GPU metrics are collected from your Databricks clusters. The Agent installed by the global init script performs the collection, so this requires the dataflow to be enabled with djm_global_init_script_enabled set to true. Defaults to false.
script_logs_enabledWhether driver and worker logs are collected from your Databricks clusters. The Agent installed by the global init script performs the collection, so this requires the dataflow to be enabled with djm_global_init_script_enabled set to true. Defaults to false.
serverless_jobs_enabledWhether health and cost data is collected for jobs running on Serverless or SQL Warehouse compute. This compute has no clusters for the global init script to target, so collection reads the Databricks system tables and requires system_tables_sql_warehouse_id. Defaults to true.
databricks-data-observability-quality-monitoringData Observability, which collects lineage and data quality information from your Databricks catalogs so you can explore how data flows and detect, resolve, and prevent quality issues.
enabledWhether Datadog collects this data. Defaults to false; set to true to start collection.
settingsSettings of the Data Observability dataflow. Only the fields provided are changed.
do_crawlers_cronCron expression setting how often Datadog connects to your Databricks warehouse to collect metadata. Currently, only hourly (0 * * * *) and daily (0 0 * * *) are supported. Defaults to hourly (0 * * * *).
sync_system_catalogWhether metadata from the Databricks system catalog is included in Data Observability alongside your data catalogs. Defaults to false.
databricks-model-serving-metricsHealth and usage metrics for your Databricks model serving endpoints. Not supported on accounts that authenticate with private_action_runner; on those accounts this dataflow collects no data.
enabledWhether Datadog collects this data. Defaults to false; set to true to start collection.
nameHuman-readable name of the Databricks integration account.
settingsSettings for updating the Databricks integration account. Only the fields provided are changed.
system_tables_sql_warehouse_idID of the SQL warehouse used to query the Databricks system tables. Find it at the end of the HTTP Path under Warehouses > Connection Details in the Databricks console. Required once the cloud cost metrics or the Data Observability dataflow is enabled, or while serverless_jobs_enabled is on; an update that leaves the account without one is rejected with a 422 response.
workspace_urlURL of the Databricks workspace.
id [required]Unique identifier of the Databricks integration account to update.
type [required]The type of the integration account resource. Always integration-account.
integration-accountintegration-account{
"data": {
"attributes": {
"authentication": {
"auth_type": "databricks_oauth",
"azure_tenant_id": "4d3bac44-0230-4732-9e70-cc00736f0a97",
"client_id": "5c10654a-b3a3-4840-b37f-f477590c70a0",
"client_secret": "your-client-secret"
},
"dataflows": {
"databricks-cloud-cost-metrics": {
"enabled": true,
"settings": {
"ccm_collect_all_workspaces": true
}
},
"databricks-data-observability-jobs-monitoring": {
"enabled": true,
"settings": {
"dd_api_key_id": "fe383f4e-09fc-46bf-8e10-4efdd453a646",
"dd_api_key_secret": "your-datadog-api-key",
"djm_global_init_script_enabled": true,
"script_gpum_enabled": true,
"script_logs_enabled": true,
"serverless_jobs_enabled": true
}
},
"databricks-data-observability-quality-monitoring": {
"enabled": true,
"settings": {
"do_crawlers_cron": "0 * * * *",
"sync_system_catalog": true
}
},
"databricks-model-serving-metrics": {
"enabled": true
}
},
"name": "My Databricks Workspace",
"settings": {
"system_tables_sql_warehouse_id": "aba7c023d4172910",
"workspace_url": "https://dbc-1234abcd.cloud.databricks.com"
}
},
"id": "a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
"type": "integration-account"
}
}Respuesta
OK
Response payload for a single Databricks integration account.
data [required]Data envelope of a Databricks integration account, including server-assigned identity.
attributes [required]Attributes of a Databricks integration account returned in responses.
authenticationAuthentication configured on the Databricks integration account. A bearer_token method indicates an account still on token authentication, which Databricks accepts only on accounts that already use it.
<auth_type=databricks_oauth>The Databricks OAuth authentication method and service principal configured on the account.
auth_type [required]The authentication method type.
databricks_oauthdatabricks_oauthazure_tenant_idMicrosoft Entra ID tenant of the service principal, for Azure Databricks workspaces.
client_id [required]Client ID of the Databricks service principal.
<auth_type=private_action_runner>The Private Action Runner authentication method configured on the account.
auth_type [required]The authentication method type.
private_action_runnerprivate_action_runnerconnection_id [required]Unique identifier of the Private Action Runner connection holding the credentials.
secret_pathPath of the credential inside the secret backend configured on the runner.
user_uuid [required]Unique identifier of the user the Private Action Runner connection belongs to.
<auth_type=bearer_token>The bearer token authentication method configured on the account.
auth_type [required]The authentication method type.
bearer_tokenbearer_tokendataflowsData Datadog collects from Databricks, keyed by dataflow id.
databricks-cloud-cost-metricsCost data collected from your Databricks system tables. Requires Cloud Cost Management to be set up for your organization.
enabledWhether Datadog collects this data.
settingsSettings of the Cloud Cost Management dataflow.
ccm_collect_all_workspacesWhether cost data is collected for every workspace in the Databricks account rather than this workspace only. This takes effect across the Databricks account: if any one workspace enables it, Datadog collects cost data for all of them regardless of their individual settings, and every covered workspace incurs Cloud Cost Management charges.
databricks-data-observability-jobs-monitoringData Jobs Monitoring, which collects performance, reliability, and cost data for your Databricks jobs.
enabledWhether Datadog collects this data.
settingsSettings of the Data Jobs Monitoring dataflow.
dd_api_key_idID of the Datadog API key the global init script uses to submit data.
djm_global_init_script_enabledWhether Datadog installs and manages the Agent on your Databricks clusters through a global init script. The script does not apply to clusters in Standard access mode. When false, the Agent is installed manually.
script_gpum_enabledWhether GPU metrics are collected from your Databricks clusters. The Agent installed by the global init script performs the collection, so this requires the dataflow to be enabled with djm_global_init_script_enabled set to true.
script_logs_enabledWhether driver and worker logs are collected from your Databricks clusters. The Agent installed by the global init script performs the collection, so this requires the dataflow to be enabled with djm_global_init_script_enabled set to true.
serverless_jobs_enabledWhether health and cost data is collected for jobs running on Serverless or SQL Warehouse compute. This compute has no clusters for the global init script to target, so collection reads the Databricks system tables and requires system_tables_sql_warehouse_id.
databricks-data-observability-quality-monitoringData Observability, which collects lineage and data quality information from your Databricks catalogs so you can explore how data flows and detect, resolve, and prevent quality issues.
enabledWhether Datadog collects this data.
settingsSettings of the Data Observability dataflow.
do_crawlers_cronCron expression setting how often Datadog connects to your Databricks warehouse to collect metadata. Currently, only hourly (0 * * * *) and daily (0 0 * * *) are supported.
sync_system_catalogWhether metadata from the Databricks system catalog is included in Data Observability alongside your data catalogs.
databricks-model-serving-metricsHealth and usage metrics for your Databricks model serving endpoints. Not supported on accounts that authenticate with private_action_runner; on those accounts this dataflow collects no data.
enabledWhether Datadog collects this data.
name [required]Human-readable name of the Databricks integration account.
settings [required]Settings configured on the Databricks integration account.
system_tables_sql_warehouse_idID of the SQL warehouse used to query the Databricks system tables.
workspace_url [required]URL of the Databricks workspace.
id [required]Server-generated unique identifier of the Databricks integration account.
type [required]The type of the integration account resource. Always integration-account.
integration-accountintegration-account{
"data": {
"attributes": {
"authentication": {
"auth_type": "databricks_oauth",
"azure_tenant_id": "4d3bac44-0230-4732-9e70-cc00736f0a97",
"client_id": "5c10654a-b3a3-4840-b37f-f477590c70a0"
},
"dataflows": {
"databricks-cloud-cost-metrics": {
"enabled": true,
"settings": {
"ccm_collect_all_workspaces": true
}
},
"databricks-data-observability-jobs-monitoring": {
"enabled": true,
"settings": {
"dd_api_key_id": "fe383f4e-09fc-46bf-8e10-4efdd453a646",
"djm_global_init_script_enabled": true,
"script_gpum_enabled": true,
"script_logs_enabled": true,
"serverless_jobs_enabled": true
}
},
"databricks-data-observability-quality-monitoring": {
"enabled": true,
"settings": {
"do_crawlers_cron": "0 * * * *",
"sync_system_catalog": true
}
},
"databricks-model-serving-metrics": {
"enabled": true
}
},
"name": "My Databricks Workspace",
"settings": {
"system_tables_sql_warehouse_id": "aba7c023d4172910",
"workspace_url": "https://dbc-1234abcd.cloud.databricks.com"
}
},
"id": "a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
"type": "integration-account"
}
}Bad Request
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Forbidden
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Not Found
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}The server cannot process the request because it contains invalid data.
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Too many requests
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Ejemplo de código
# Path parameters
export account_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 PATCH "https://api.${DD_SITE}/api/v2/integration-interfaces/databricks/accounts/${account_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"authentication": {
"auth_type": "databricks_oauth",
"azure_tenant_id": "4d3bac44-0230-4732-9e70-cc00736f0a97",
"client_id": "5c10654a-b3a3-4840-b37f-f477590c70a0",
"client_secret": "your-client-secret"
},
"dataflows": {
"databricks-cloud-cost-metrics": {
"enabled": true,
"settings": {
"ccm_collect_all_workspaces": true
}
},
"databricks-data-observability-jobs-monitoring": {
"enabled": true,
"settings": {
"dd_api_key_id": "fe383f4e-09fc-46bf-8e10-4efdd453a646",
"dd_api_key_secret": "your-datadog-api-key",
"djm_global_init_script_enabled": true,
"script_gpum_enabled": true,
"script_logs_enabled": true,
"serverless_jobs_enabled": true
}
},
"databricks-data-observability-quality-monitoring": {
"enabled": true,
"settings": {
"do_crawlers_cron": "0 * * * *",
"sync_system_catalog": true
}
},
"databricks-model-serving-metrics": {
"enabled": true
}
},
"name": "My Databricks Workspace",
"settings": {
"system_tables_sql_warehouse_id": "aba7c023d4172910",
"workspace_url": "https://dbc-1234abcd.cloud.databricks.com"
}
},
"id": "a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
"type": "integration-account"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integration-interfaces/databricks/accounts/${account_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"authentication": {
"auth_type": "databricks_oauth",
"azure_tenant_id": "4d3bac44-0230-4732-9e70-cc00736f0a97",
"client_id": "5c10654a-b3a3-4840-b37f-f477590c70a0",
"client_secret": "your-client-secret"
},
"dataflows": {
"databricks-cloud-cost-metrics": {
"enabled": true,
"settings": {
"ccm_collect_all_workspaces": true
}
},
"databricks-data-observability-jobs-monitoring": {
"enabled": true,
"settings": {
"dd_api_key_id": "fe383f4e-09fc-46bf-8e10-4efdd453a646",
"dd_api_key_secret": "your-datadog-api-key",
"djm_global_init_script_enabled": true,
"script_gpum_enabled": true,
"script_logs_enabled": true,
"serverless_jobs_enabled": true
}
},
"databricks-data-observability-quality-monitoring": {
"enabled": true,
"settings": {
"do_crawlers_cron": "0 * * * *",
"sync_system_catalog": true
}
},
"databricks-model-serving-metrics": {
"enabled": true
}
},
"name": "My Databricks Workspace",
"settings": {
"system_tables_sql_warehouse_id": "aba7c023d4172910",
"workspace_url": "https://dbc-1234abcd.cloud.databricks.com"
}
},
"id": "a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
"type": "integration-account"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integration-interfaces/databricks/accounts/${account_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"authentication": {
"auth_type": "databricks_oauth",
"azure_tenant_id": "4d3bac44-0230-4732-9e70-cc00736f0a97",
"client_id": "5c10654a-b3a3-4840-b37f-f477590c70a0",
"client_secret": "your-client-secret"
},
"dataflows": {
"databricks-cloud-cost-metrics": {
"enabled": true,
"settings": {
"ccm_collect_all_workspaces": true
}
},
"databricks-data-observability-jobs-monitoring": {
"enabled": true,
"settings": {
"dd_api_key_id": "fe383f4e-09fc-46bf-8e10-4efdd453a646",
"dd_api_key_secret": "your-datadog-api-key",
"djm_global_init_script_enabled": true,
"script_gpum_enabled": true,
"script_logs_enabled": true,
"serverless_jobs_enabled": true
}
},
"databricks-data-observability-quality-monitoring": {
"enabled": true,
"settings": {
"do_crawlers_cron": "0 * * * *",
"sync_system_catalog": true
}
},
"databricks-model-serving-metrics": {
"enabled": true
}
},
"name": "My Databricks Workspace",
"settings": {
"system_tables_sql_warehouse_id": "aba7c023d4172910",
"workspace_url": "https://dbc-1234abcd.cloud.databricks.com"
}
},
"id": "a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
"type": "integration-account"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integration-interfaces/databricks/accounts/${account_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"authentication": {
"auth_type": "databricks_oauth",
"azure_tenant_id": "4d3bac44-0230-4732-9e70-cc00736f0a97",
"client_id": "5c10654a-b3a3-4840-b37f-f477590c70a0",
"client_secret": "your-client-secret"
},
"dataflows": {
"databricks-cloud-cost-metrics": {
"enabled": true,
"settings": {
"ccm_collect_all_workspaces": true
}
},
"databricks-data-observability-jobs-monitoring": {
"enabled": true,
"settings": {
"dd_api_key_id": "fe383f4e-09fc-46bf-8e10-4efdd453a646",
"dd_api_key_secret": "your-datadog-api-key",
"djm_global_init_script_enabled": true,
"script_gpum_enabled": true,
"script_logs_enabled": true,
"serverless_jobs_enabled": true
}
},
"databricks-data-observability-quality-monitoring": {
"enabled": true,
"settings": {
"do_crawlers_cron": "0 * * * *",
"sync_system_catalog": true
}
},
"databricks-model-serving-metrics": {
"enabled": true
}
},
"name": "My Databricks Workspace",
"settings": {
"system_tables_sql_warehouse_id": "aba7c023d4172910",
"workspace_url": "https://dbc-1234abcd.cloud.databricks.com"
}
},
"id": "a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
"type": "integration-account"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integration-interfaces/databricks/accounts/${account_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"authentication": {
"auth_type": "databricks_oauth",
"azure_tenant_id": "4d3bac44-0230-4732-9e70-cc00736f0a97",
"client_id": "5c10654a-b3a3-4840-b37f-f477590c70a0",
"client_secret": "your-client-secret"
},
"dataflows": {
"databricks-cloud-cost-metrics": {
"enabled": true,
"settings": {
"ccm_collect_all_workspaces": true
}
},
"databricks-data-observability-jobs-monitoring": {
"enabled": true,
"settings": {
"dd_api_key_id": "fe383f4e-09fc-46bf-8e10-4efdd453a646",
"dd_api_key_secret": "your-datadog-api-key",
"djm_global_init_script_enabled": true,
"script_gpum_enabled": true,
"script_logs_enabled": true,
"serverless_jobs_enabled": true
}
},
"databricks-data-observability-quality-monitoring": {
"enabled": true,
"settings": {
"do_crawlers_cron": "0 * * * *",
"sync_system_catalog": true
}
},
"databricks-model-serving-metrics": {
"enabled": true
}
},
"name": "My Databricks Workspace",
"settings": {
"system_tables_sql_warehouse_id": "aba7c023d4172910",
"workspace_url": "https://dbc-1234abcd.cloud.databricks.com"
}
},
"id": "a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
"type": "integration-account"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integration-interfaces/databricks/accounts/${account_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"authentication": {
"auth_type": "databricks_oauth",
"azure_tenant_id": "4d3bac44-0230-4732-9e70-cc00736f0a97",
"client_id": "5c10654a-b3a3-4840-b37f-f477590c70a0",
"client_secret": "your-client-secret"
},
"dataflows": {
"databricks-cloud-cost-metrics": {
"enabled": true,
"settings": {
"ccm_collect_all_workspaces": true
}
},
"databricks-data-observability-jobs-monitoring": {
"enabled": true,
"settings": {
"dd_api_key_id": "fe383f4e-09fc-46bf-8e10-4efdd453a646",
"dd_api_key_secret": "your-datadog-api-key",
"djm_global_init_script_enabled": true,
"script_gpum_enabled": true,
"script_logs_enabled": true,
"serverless_jobs_enabled": true
}
},
"databricks-data-observability-quality-monitoring": {
"enabled": true,
"settings": {
"do_crawlers_cron": "0 * * * *",
"sync_system_catalog": true
}
},
"databricks-model-serving-metrics": {
"enabled": true
}
},
"name": "My Databricks Workspace",
"settings": {
"system_tables_sql_warehouse_id": "aba7c023d4172910",
"workspace_url": "https://dbc-1234abcd.cloud.databricks.com"
}
},
"id": "a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
"type": "integration-account"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integration-interfaces/databricks/accounts/${account_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"authentication": {
"auth_type": "databricks_oauth",
"azure_tenant_id": "4d3bac44-0230-4732-9e70-cc00736f0a97",
"client_id": "5c10654a-b3a3-4840-b37f-f477590c70a0",
"client_secret": "your-client-secret"
},
"dataflows": {
"databricks-cloud-cost-metrics": {
"enabled": true,
"settings": {
"ccm_collect_all_workspaces": true
}
},
"databricks-data-observability-jobs-monitoring": {
"enabled": true,
"settings": {
"dd_api_key_id": "fe383f4e-09fc-46bf-8e10-4efdd453a646",
"dd_api_key_secret": "your-datadog-api-key",
"djm_global_init_script_enabled": true,
"script_gpum_enabled": true,
"script_logs_enabled": true,
"serverless_jobs_enabled": true
}
},
"databricks-data-observability-quality-monitoring": {
"enabled": true,
"settings": {
"do_crawlers_cron": "0 * * * *",
"sync_system_catalog": true
}
},
"databricks-model-serving-metrics": {
"enabled": true
}
},
"name": "My Databricks Workspace",
"settings": {
"system_tables_sql_warehouse_id": "aba7c023d4172910",
"workspace_url": "https://dbc-1234abcd.cloud.databricks.com"
}
},
"id": "a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
"type": "integration-account"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integration-interfaces/databricks/accounts/${account_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"authentication": {
"auth_type": "databricks_oauth",
"azure_tenant_id": "4d3bac44-0230-4732-9e70-cc00736f0a97",
"client_id": "5c10654a-b3a3-4840-b37f-f477590c70a0",
"client_secret": "your-client-secret"
},
"dataflows": {
"databricks-cloud-cost-metrics": {
"enabled": true,
"settings": {
"ccm_collect_all_workspaces": true
}
},
"databricks-data-observability-jobs-monitoring": {
"enabled": true,
"settings": {
"dd_api_key_id": "fe383f4e-09fc-46bf-8e10-4efdd453a646",
"dd_api_key_secret": "your-datadog-api-key",
"djm_global_init_script_enabled": true,
"script_gpum_enabled": true,
"script_logs_enabled": true,
"serverless_jobs_enabled": true
}
},
"databricks-data-observability-quality-monitoring": {
"enabled": true,
"settings": {
"do_crawlers_cron": "0 * * * *",
"sync_system_catalog": true
}
},
"databricks-model-serving-metrics": {
"enabled": true
}
},
"name": "My Databricks Workspace",
"settings": {
"system_tables_sql_warehouse_id": "aba7c023d4172910",
"workspace_url": "https://dbc-1234abcd.cloud.databricks.com"
}
},
"id": "a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
"type": "integration-account"
}
}
EOF# Path parameters
export account_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/integration-interfaces/databricks/accounts/${account_id}" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"authentication": {
"auth_type": "databricks_oauth",
"azure_tenant_id": "4d3bac44-0230-4732-9e70-cc00736f0a97",
"client_id": "5c10654a-b3a3-4840-b37f-f477590c70a0",
"client_secret": "your-client-secret"
},
"dataflows": {
"databricks-cloud-cost-metrics": {
"enabled": true,
"settings": {
"ccm_collect_all_workspaces": true
}
},
"databricks-data-observability-jobs-monitoring": {
"enabled": true,
"settings": {
"dd_api_key_id": "fe383f4e-09fc-46bf-8e10-4efdd453a646",
"dd_api_key_secret": "your-datadog-api-key",
"djm_global_init_script_enabled": true,
"script_gpum_enabled": true,
"script_logs_enabled": true,
"serverless_jobs_enabled": true
}
},
"databricks-data-observability-quality-monitoring": {
"enabled": true,
"settings": {
"do_crawlers_cron": "0 * * * *",
"sync_system_catalog": true
}
},
"databricks-model-serving-metrics": {
"enabled": true
}
},
"name": "My Databricks Workspace",
"settings": {
"system_tables_sql_warehouse_id": "aba7c023d4172910",
"workspace_url": "https://dbc-1234abcd.cloud.databricks.com"
}
},
"id": "a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
"type": "integration-account"
}
}
EOF// Update a Databricks integration account 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.DatabricksIntegrationAccountUpdateRequest{
Data: datadogV2.DatabricksIntegrationAccountUpdateData{
Attributes: datadogV2.DatabricksIntegrationAccountUpdateAttributes{
Authentication: &datadogV2.DatabricksIntegrationAccountAuthenticationUpdate{
DatabricksIntegrationAccountOAuthAuthUpdate: &datadogV2.DatabricksIntegrationAccountOAuthAuthUpdate{
AuthType: datadogV2.DATABRICKSINTEGRATIONACCOUNTOAUTHAUTHTYPE_DATABRICKS_OAUTH,
AzureTenantId: *datadog.NewNullableString(datadog.PtrString("4d3bac44-0230-4732-9e70-cc00736f0a97")),
ClientId: datadog.PtrString("5c10654a-b3a3-4840-b37f-f477590c70a0"),
ClientSecret: datadog.PtrString("your-client-secret"),
}},
Dataflows: &datadogV2.DatabricksIntegrationDataflowsRequest{
DatabricksCloudCostMetrics: &datadogV2.DatabricksCloudCostMetricsIntegrationDataflowRequest{
Enabled: datadog.PtrBool(true),
Settings: &datadogV2.DatabricksCloudCostMetricsIntegrationDataflowSettingsRequest{
CcmCollectAllWorkspaces: datadog.PtrBool(true),
},
},
DatabricksDataObservabilityJobsMonitoring: &datadogV2.DatabricksDataObservabilityJobsMonitoringIntegrationDataflowRequest{
Enabled: datadog.PtrBool(true),
Settings: &datadogV2.DatabricksDataObservabilityJobsMonitoringIntegrationDataflowSettingsRequest{
DdApiKeyId: datadog.PtrString("fe383f4e-09fc-46bf-8e10-4efdd453a646"),
DdApiKeySecret: datadog.PtrString("your-datadog-api-key"),
DjmGlobalInitScriptEnabled: datadog.PtrBool(true),
ScriptGpumEnabled: datadog.PtrBool(true),
ScriptLogsEnabled: datadog.PtrBool(true),
ServerlessJobsEnabled: datadog.PtrBool(true),
},
},
DatabricksDataObservabilityQualityMonitoring: &datadogV2.DatabricksDataObservabilityQualityMonitoringIntegrationDataflowRequest{
Enabled: datadog.PtrBool(true),
Settings: &datadogV2.DatabricksDataObservabilityQualityMonitoringIntegrationDataflowSettingsRequest{
DoCrawlersCron: datadog.PtrString("0 * * * *"),
SyncSystemCatalog: datadog.PtrBool(true),
},
},
DatabricksModelServingMetrics: &datadogV2.DatabricksModelServingMetricsIntegrationDataflowRequest{
Enabled: datadog.PtrBool(true),
},
},
Name: datadog.PtrString("My Databricks Workspace"),
Settings: &datadogV2.DatabricksIntegrationAccountSettingsUpdate{
SystemTablesSqlWarehouseId: datadog.PtrString("aba7c023d4172910"),
WorkspaceUrl: datadog.PtrString("https://dbc-1234abcd.cloud.databricks.com"),
},
},
Id: "a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
Type: datadogV2.INTEGRATIONACCOUNTTYPE_INTEGRATION_ACCOUNT,
},
}
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
configuration.SetUnstableOperationEnabled("v2.UpdateDatabricksIntegrationAccount", true)
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewDatabricksIntegrationApi(apiClient)
resp, r, err := api.UpdateDatabricksIntegrationAccount(ctx, "account_id", body)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `DatabricksIntegrationApi.UpdateDatabricksIntegrationAccount`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `DatabricksIntegrationApi.UpdateDatabricksIntegrationAccount`:\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"// Update a Databricks integration account returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.DatabricksIntegrationApi;
import com.datadog.api.client.v2.model.DatabricksCloudCostMetricsIntegrationDataflowRequest;
import com.datadog.api.client.v2.model.DatabricksCloudCostMetricsIntegrationDataflowSettingsRequest;
import com.datadog.api.client.v2.model.DatabricksDataObservabilityJobsMonitoringIntegrationDataflowRequest;
import com.datadog.api.client.v2.model.DatabricksDataObservabilityJobsMonitoringIntegrationDataflowSettingsRequest;
import com.datadog.api.client.v2.model.DatabricksDataObservabilityQualityMonitoringIntegrationDataflowRequest;
import com.datadog.api.client.v2.model.DatabricksDataObservabilityQualityMonitoringIntegrationDataflowSettingsRequest;
import com.datadog.api.client.v2.model.DatabricksIntegrationAccountAuthenticationUpdate;
import com.datadog.api.client.v2.model.DatabricksIntegrationAccountOAuthAuthType;
import com.datadog.api.client.v2.model.DatabricksIntegrationAccountOAuthAuthUpdate;
import com.datadog.api.client.v2.model.DatabricksIntegrationAccountResponse;
import com.datadog.api.client.v2.model.DatabricksIntegrationAccountSettingsUpdate;
import com.datadog.api.client.v2.model.DatabricksIntegrationAccountUpdateAttributes;
import com.datadog.api.client.v2.model.DatabricksIntegrationAccountUpdateData;
import com.datadog.api.client.v2.model.DatabricksIntegrationAccountUpdateRequest;
import com.datadog.api.client.v2.model.DatabricksIntegrationDataflowsRequest;
import com.datadog.api.client.v2.model.DatabricksModelServingMetricsIntegrationDataflowRequest;
import com.datadog.api.client.v2.model.IntegrationAccountType;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
defaultClient.setUnstableOperationEnabled("v2.updateDatabricksIntegrationAccount", true);
DatabricksIntegrationApi apiInstance = new DatabricksIntegrationApi(defaultClient);
DatabricksIntegrationAccountUpdateRequest body =
new DatabricksIntegrationAccountUpdateRequest()
.data(
new DatabricksIntegrationAccountUpdateData()
.attributes(
new DatabricksIntegrationAccountUpdateAttributes()
.authentication(
new DatabricksIntegrationAccountAuthenticationUpdate(
new DatabricksIntegrationAccountOAuthAuthUpdate()
.authType(
DatabricksIntegrationAccountOAuthAuthType
.DATABRICKS_OAUTH)
.azureTenantId("4d3bac44-0230-4732-9e70-cc00736f0a97")
.clientId("5c10654a-b3a3-4840-b37f-f477590c70a0")
.clientSecret("your-client-secret")))
.dataflows(
new DatabricksIntegrationDataflowsRequest()
.databricksCloudCostMetrics(
new DatabricksCloudCostMetricsIntegrationDataflowRequest()
.enabled(true)
.settings(
new DatabricksCloudCostMetricsIntegrationDataflowSettingsRequest()
.ccmCollectAllWorkspaces(true)))
.databricksDataObservabilityJobsMonitoring(
new DatabricksDataObservabilityJobsMonitoringIntegrationDataflowRequest()
.enabled(true)
.settings(
new DatabricksDataObservabilityJobsMonitoringIntegrationDataflowSettingsRequest()
.ddApiKeyId(
"fe383f4e-09fc-46bf-8e10-4efdd453a646")
.ddApiKeySecret("your-datadog-api-key")
.djmGlobalInitScriptEnabled(true)
.scriptGpumEnabled(true)
.scriptLogsEnabled(true)
.serverlessJobsEnabled(true)))
.databricksDataObservabilityQualityMonitoring(
new DatabricksDataObservabilityQualityMonitoringIntegrationDataflowRequest()
.enabled(true)
.settings(
new DatabricksDataObservabilityQualityMonitoringIntegrationDataflowSettingsRequest()
.doCrawlersCron("0 * * * *")
.syncSystemCatalog(true)))
.databricksModelServingMetrics(
new DatabricksModelServingMetricsIntegrationDataflowRequest()
.enabled(true)))
.name("My Databricks Workspace")
.settings(
new DatabricksIntegrationAccountSettingsUpdate()
.systemTablesSqlWarehouseId("aba7c023d4172910")
.workspaceUrl("https://dbc-1234abcd.cloud.databricks.com")))
.id("a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f")
.type(IntegrationAccountType.INTEGRATION_ACCOUNT));
try {
DatabricksIntegrationAccountResponse result =
apiInstance.updateDatabricksIntegrationAccount("account_id", body);
System.out.println(result);
} catch (ApiException e) {
System.err.println(
"Exception when calling DatabricksIntegrationApi#updateDatabricksIntegrationAccount");
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""""
Update a Databricks integration account returns "OK" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.databricks_integration_api import DatabricksIntegrationApi
from datadog_api_client.v2.model.databricks_cloud_cost_metrics_integration_dataflow_request import (
DatabricksCloudCostMetricsIntegrationDataflowRequest,
)
from datadog_api_client.v2.model.databricks_cloud_cost_metrics_integration_dataflow_settings_request import (
DatabricksCloudCostMetricsIntegrationDataflowSettingsRequest,
)
from datadog_api_client.v2.model.databricks_data_observability_jobs_monitoring_integration_dataflow_request import (
DatabricksDataObservabilityJobsMonitoringIntegrationDataflowRequest,
)
from datadog_api_client.v2.model.databricks_data_observability_jobs_monitoring_integration_dataflow_settings_request import (
DatabricksDataObservabilityJobsMonitoringIntegrationDataflowSettingsRequest,
)
from datadog_api_client.v2.model.databricks_data_observability_quality_monitoring_integration_dataflow_request import (
DatabricksDataObservabilityQualityMonitoringIntegrationDataflowRequest,
)
from datadog_api_client.v2.model.databricks_data_observability_quality_monitoring_integration_dataflow_settings_request import (
DatabricksDataObservabilityQualityMonitoringIntegrationDataflowSettingsRequest,
)
from datadog_api_client.v2.model.databricks_integration_account_o_auth_auth_type import (
DatabricksIntegrationAccountOAuthAuthType,
)
from datadog_api_client.v2.model.databricks_integration_account_o_auth_auth_update import (
DatabricksIntegrationAccountOAuthAuthUpdate,
)
from datadog_api_client.v2.model.databricks_integration_account_settings_update import (
DatabricksIntegrationAccountSettingsUpdate,
)
from datadog_api_client.v2.model.databricks_integration_account_update_attributes import (
DatabricksIntegrationAccountUpdateAttributes,
)
from datadog_api_client.v2.model.databricks_integration_account_update_data import (
DatabricksIntegrationAccountUpdateData,
)
from datadog_api_client.v2.model.databricks_integration_account_update_request import (
DatabricksIntegrationAccountUpdateRequest,
)
from datadog_api_client.v2.model.databricks_integration_dataflows_request import DatabricksIntegrationDataflowsRequest
from datadog_api_client.v2.model.databricks_model_serving_metrics_integration_dataflow_request import (
DatabricksModelServingMetricsIntegrationDataflowRequest,
)
from datadog_api_client.v2.model.integration_account_type import IntegrationAccountType
body = DatabricksIntegrationAccountUpdateRequest(
data=DatabricksIntegrationAccountUpdateData(
attributes=DatabricksIntegrationAccountUpdateAttributes(
authentication=DatabricksIntegrationAccountOAuthAuthUpdate(
auth_type=DatabricksIntegrationAccountOAuthAuthType.DATABRICKS_OAUTH,
azure_tenant_id="4d3bac44-0230-4732-9e70-cc00736f0a97",
client_id="5c10654a-b3a3-4840-b37f-f477590c70a0",
client_secret="your-client-secret",
),
dataflows=DatabricksIntegrationDataflowsRequest(
databricks_cloud_cost_metrics=DatabricksCloudCostMetricsIntegrationDataflowRequest(
enabled=True,
settings=DatabricksCloudCostMetricsIntegrationDataflowSettingsRequest(
ccm_collect_all_workspaces=True,
),
),
databricks_data_observability_jobs_monitoring=DatabricksDataObservabilityJobsMonitoringIntegrationDataflowRequest(
enabled=True,
settings=DatabricksDataObservabilityJobsMonitoringIntegrationDataflowSettingsRequest(
dd_api_key_id="fe383f4e-09fc-46bf-8e10-4efdd453a646",
dd_api_key_secret="your-datadog-api-key",
djm_global_init_script_enabled=True,
script_gpum_enabled=True,
script_logs_enabled=True,
serverless_jobs_enabled=True,
),
),
databricks_data_observability_quality_monitoring=DatabricksDataObservabilityQualityMonitoringIntegrationDataflowRequest(
enabled=True,
settings=DatabricksDataObservabilityQualityMonitoringIntegrationDataflowSettingsRequest(
do_crawlers_cron="0 * * * *",
sync_system_catalog=True,
),
),
databricks_model_serving_metrics=DatabricksModelServingMetricsIntegrationDataflowRequest(
enabled=True,
),
),
name="My Databricks Workspace",
settings=DatabricksIntegrationAccountSettingsUpdate(
system_tables_sql_warehouse_id="aba7c023d4172910",
workspace_url="https://dbc-1234abcd.cloud.databricks.com",
),
),
id="a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
type=IntegrationAccountType.INTEGRATION_ACCOUNT,
),
)
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["update_databricks_integration_account"] = True
with ApiClient(configuration) as api_client:
api_instance = DatabricksIntegrationApi(api_client)
response = api_instance.update_databricks_integration_account(account_id="account_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"# Update a Databricks integration account returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
config.unstable_operations["v2.update_databricks_integration_account".to_sym] = true
end
api_instance = DatadogAPIClient::V2::DatabricksIntegrationAPI.new
body = DatadogAPIClient::V2::DatabricksIntegrationAccountUpdateRequest.new({
data: DatadogAPIClient::V2::DatabricksIntegrationAccountUpdateData.new({
attributes: DatadogAPIClient::V2::DatabricksIntegrationAccountUpdateAttributes.new({
authentication: DatadogAPIClient::V2::DatabricksIntegrationAccountOAuthAuthUpdate.new({
auth_type: DatadogAPIClient::V2::DatabricksIntegrationAccountOAuthAuthType::DATABRICKS_OAUTH,
azure_tenant_id: "4d3bac44-0230-4732-9e70-cc00736f0a97",
client_id: "5c10654a-b3a3-4840-b37f-f477590c70a0",
client_secret: "your-client-secret",
}),
dataflows: DatadogAPIClient::V2::DatabricksIntegrationDataflowsRequest.new({
databricks_cloud_cost_metrics: DatadogAPIClient::V2::DatabricksCloudCostMetricsIntegrationDataflowRequest.new({
enabled: true,
settings: DatadogAPIClient::V2::DatabricksCloudCostMetricsIntegrationDataflowSettingsRequest.new({
ccm_collect_all_workspaces: true,
}),
}),
databricks_data_observability_jobs_monitoring: DatadogAPIClient::V2::DatabricksDataObservabilityJobsMonitoringIntegrationDataflowRequest.new({
enabled: true,
settings: DatadogAPIClient::V2::DatabricksDataObservabilityJobsMonitoringIntegrationDataflowSettingsRequest.new({
dd_api_key_id: "fe383f4e-09fc-46bf-8e10-4efdd453a646",
dd_api_key_secret: "your-datadog-api-key",
djm_global_init_script_enabled: true,
script_gpum_enabled: true,
script_logs_enabled: true,
serverless_jobs_enabled: true,
}),
}),
databricks_data_observability_quality_monitoring: DatadogAPIClient::V2::DatabricksDataObservabilityQualityMonitoringIntegrationDataflowRequest.new({
enabled: true,
settings: DatadogAPIClient::V2::DatabricksDataObservabilityQualityMonitoringIntegrationDataflowSettingsRequest.new({
do_crawlers_cron: "0 * * * *",
sync_system_catalog: true,
}),
}),
databricks_model_serving_metrics: DatadogAPIClient::V2::DatabricksModelServingMetricsIntegrationDataflowRequest.new({
enabled: true,
}),
}),
name: "My Databricks Workspace",
settings: DatadogAPIClient::V2::DatabricksIntegrationAccountSettingsUpdate.new({
system_tables_sql_warehouse_id: "aba7c023d4172910",
workspace_url: "https://dbc-1234abcd.cloud.databricks.com",
}),
}),
id: "a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
type: DatadogAPIClient::V2::IntegrationAccountType::INTEGRATION_ACCOUNT,
}),
})
p api_instance.update_databricks_integration_account("account_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"// Update a Databricks integration account returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_databricks_integration::DatabricksIntegrationAPI;
use datadog_api_client::datadogV2::model::DatabricksCloudCostMetricsIntegrationDataflowRequest;
use datadog_api_client::datadogV2::model::DatabricksCloudCostMetricsIntegrationDataflowSettingsRequest;
use datadog_api_client::datadogV2::model::DatabricksDataObservabilityJobsMonitoringIntegrationDataflowRequest;
use datadog_api_client::datadogV2::model::DatabricksDataObservabilityJobsMonitoringIntegrationDataflowSettingsRequest;
use datadog_api_client::datadogV2::model::DatabricksDataObservabilityQualityMonitoringIntegrationDataflowRequest;
use datadog_api_client::datadogV2::model::DatabricksDataObservabilityQualityMonitoringIntegrationDataflowSettingsRequest;
use datadog_api_client::datadogV2::model::DatabricksIntegrationAccountAuthenticationUpdate;
use datadog_api_client::datadogV2::model::DatabricksIntegrationAccountOAuthAuthType;
use datadog_api_client::datadogV2::model::DatabricksIntegrationAccountOAuthAuthUpdate;
use datadog_api_client::datadogV2::model::DatabricksIntegrationAccountSettingsUpdate;
use datadog_api_client::datadogV2::model::DatabricksIntegrationAccountUpdateAttributes;
use datadog_api_client::datadogV2::model::DatabricksIntegrationAccountUpdateData;
use datadog_api_client::datadogV2::model::DatabricksIntegrationAccountUpdateRequest;
use datadog_api_client::datadogV2::model::DatabricksIntegrationDataflowsRequest;
use datadog_api_client::datadogV2::model::DatabricksModelServingMetricsIntegrationDataflowRequest;
use datadog_api_client::datadogV2::model::IntegrationAccountType;
#[tokio::main]
async fn main() {
let body =
DatabricksIntegrationAccountUpdateRequest::new(
DatabricksIntegrationAccountUpdateData::new(
DatabricksIntegrationAccountUpdateAttributes::new()
.authentication(
DatabricksIntegrationAccountAuthenticationUpdate::DatabricksIntegrationAccountOAuthAuthUpdate(
Box::new(
DatabricksIntegrationAccountOAuthAuthUpdate::new(
DatabricksIntegrationAccountOAuthAuthType::DATABRICKS_OAUTH,
)
.azure_tenant_id(Some("4d3bac44-0230-4732-9e70-cc00736f0a97".to_string()))
.client_id("5c10654a-b3a3-4840-b37f-f477590c70a0".to_string())
.client_secret("your-client-secret".to_string()),
),
),
)
.dataflows(
DatabricksIntegrationDataflowsRequest::new()
.databricks_cloud_cost_metrics(
DatabricksCloudCostMetricsIntegrationDataflowRequest::new()
.enabled(true)
.settings(
DatabricksCloudCostMetricsIntegrationDataflowSettingsRequest
::new().ccm_collect_all_workspaces(true),
),
)
.databricks_data_observability_jobs_monitoring(
DatabricksDataObservabilityJobsMonitoringIntegrationDataflowRequest::new()
.enabled(true)
.settings(
DatabricksDataObservabilityJobsMonitoringIntegrationDataflowSettingsRequest
::new()
.dd_api_key_id("fe383f4e-09fc-46bf-8e10-4efdd453a646".to_string())
.dd_api_key_secret("your-datadog-api-key".to_string())
.djm_global_init_script_enabled(true)
.script_gpum_enabled(true)
.script_logs_enabled(true)
.serverless_jobs_enabled(true),
),
)
.databricks_data_observability_quality_monitoring(
DatabricksDataObservabilityQualityMonitoringIntegrationDataflowRequest::new()
.enabled(true)
.settings(
DatabricksDataObservabilityQualityMonitoringIntegrationDataflowSettingsRequest
::new()
.do_crawlers_cron("0 * * * *".to_string())
.sync_system_catalog(true),
),
)
.databricks_model_serving_metrics(
DatabricksModelServingMetricsIntegrationDataflowRequest::new().enabled(true),
),
)
.name("My Databricks Workspace".to_string())
.settings(
DatabricksIntegrationAccountSettingsUpdate::new()
.system_tables_sql_warehouse_id("aba7c023d4172910".to_string())
.workspace_url("https://dbc-1234abcd.cloud.databricks.com".to_string()),
),
"a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f".to_string(),
IntegrationAccountType::INTEGRATION_ACCOUNT,
),
);
let mut configuration = datadog::Configuration::new();
configuration.set_unstable_operation_enabled("v2.update_databricks_integration_account", true);
let api = DatabricksIntegrationAPI::with_config(configuration);
let resp = api
.update_databricks_integration_account("account_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 run/**
* Update a Databricks integration account 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,
},
},
});
configuration.unstableOperations["v2.updateDatabricksIntegrationAccount"] =
true;
const apiInstance = new v2.DatabricksIntegrationApi(configuration);
const params: v2.DatabricksIntegrationApiUpdateDatabricksIntegrationAccountRequest =
{
body: {
data: {
attributes: {
authentication: {
authType: "databricks_oauth",
azureTenantId: "4d3bac44-0230-4732-9e70-cc00736f0a97",
clientId: "5c10654a-b3a3-4840-b37f-f477590c70a0",
clientSecret: "your-client-secret",
},
dataflows: {
databricksCloudCostMetrics: {
enabled: true,
settings: {
ccmCollectAllWorkspaces: true,
},
},
databricksDataObservabilityJobsMonitoring: {
enabled: true,
settings: {
ddApiKeyId: "fe383f4e-09fc-46bf-8e10-4efdd453a646",
ddApiKeySecret: "your-datadog-api-key",
djmGlobalInitScriptEnabled: true,
scriptGpumEnabled: true,
scriptLogsEnabled: true,
serverlessJobsEnabled: true,
},
},
databricksDataObservabilityQualityMonitoring: {
enabled: true,
settings: {
doCrawlersCron: "0 * * * *",
syncSystemCatalog: true,
},
},
databricksModelServingMetrics: {
enabled: true,
},
},
name: "My Databricks Workspace",
settings: {
systemTablesSqlWarehouseId: "aba7c023d4172910",
workspaceUrl: "https://dbc-1234abcd.cloud.databricks.com",
},
},
id: "a9a69c2e-4f8d-4e42-9c1a-2a7a2d3b7c6f",
type: "integration-account",
},
},
accountId: "account_id",
};
apiInstance
.updateDatabricksIntegrationAccount(params)
.then((data: v2.DatabricksIntegrationAccountResponse) => {
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"