datadog.Dataset
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Provides a Datadog Dataset resource. This can be used to create and manage Datadog datasets.
Example Usage
import * as pulumi from "@pulumi/pulumi";
import * as datadog from "@pulumi/datadog";
// Create new dataset resource
const foo = new datadog.Dataset("foo", {
name: "HR Dataset",
principals: ["role:00000000-0000-1111-0000-000000000000"],
productFilters: [{
product: "rum",
filters: ["@application.id:123"],
}],
});
import pulumi
import pulumi_datadog as datadog
# Create new dataset resource
foo = datadog.Dataset("foo",
name="HR Dataset",
principals=["role:00000000-0000-1111-0000-000000000000"],
product_filters=[{
"product": "rum",
"filters": ["@application.id:123"],
}])
package main
import (
"github.com/pulumi/pulumi-datadog/sdk/v4/go/datadog"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
// Create new dataset resource
_, err := datadog.NewDataset(ctx, "foo", &datadog.DatasetArgs{
Name: pulumi.String("HR Dataset"),
Principals: pulumi.StringArray{
pulumi.String("role:00000000-0000-1111-0000-000000000000"),
},
ProductFilters: datadog.DatasetProductFilterArray{
&datadog.DatasetProductFilterArgs{
Product: pulumi.String("rum"),
Filters: pulumi.StringArray{
pulumi.String("@application.id:123"),
},
},
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Datadog = Pulumi.Datadog;
return await Deployment.RunAsync(() =>
{
// Create new dataset resource
var foo = new Datadog.Dataset("foo", new()
{
Name = "HR Dataset",
Principals = new[]
{
"role:00000000-0000-1111-0000-000000000000",
},
ProductFilters = new[]
{
new Datadog.Inputs.DatasetProductFilterArgs
{
Product = "rum",
Filters = new[]
{
"@application.id:123",
},
},
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.datadog.Dataset;
import com.pulumi.datadog.DatasetArgs;
import com.pulumi.datadog.inputs.DatasetProductFilterArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
// Create new dataset resource
var foo = new Dataset("foo", DatasetArgs.builder()
.name("HR Dataset")
.principals("role:00000000-0000-1111-0000-000000000000")
.productFilters(DatasetProductFilterArgs.builder()
.product("rum")
.filters("@application.id:123")
.build())
.build());
}
}
resources:
# Create new dataset resource
foo:
type: datadog:Dataset
properties:
name: HR Dataset
principals:
- role:00000000-0000-1111-0000-000000000000
productFilters:
- product: rum
filters:
- '@application.id:123'
Create Dataset Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new Dataset(name: string, args: DatasetArgs, opts?: CustomResourceOptions);
@overload
def Dataset(resource_name: str,
args: DatasetArgs,
opts: Optional[ResourceOptions] = None)
@overload
def Dataset(resource_name: str,
opts: Optional[ResourceOptions] = None,
name: Optional[str] = None,
principals: Optional[Sequence[str]] = None,
product_filters: Optional[Sequence[DatasetProductFilterArgs]] = None)
func NewDataset(ctx *Context, name string, args DatasetArgs, opts ...ResourceOption) (*Dataset, error)
public Dataset(string name, DatasetArgs args, CustomResourceOptions? opts = null)
public Dataset(String name, DatasetArgs args)
public Dataset(String name, DatasetArgs args, CustomResourceOptions options)
type: datadog:Dataset
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args DatasetArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args DatasetArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args DatasetArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args DatasetArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args DatasetArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var datasetResource = new Datadog.Dataset("datasetResource", new()
{
Name = "string",
Principals = new[]
{
"string",
},
ProductFilters = new[]
{
new Datadog.Inputs.DatasetProductFilterArgs
{
Filters = new[]
{
"string",
},
Product = "string",
},
},
});
example, err := datadog.NewDataset(ctx, "datasetResource", &datadog.DatasetArgs{
Name: pulumi.String("string"),
Principals: pulumi.StringArray{
pulumi.String("string"),
},
ProductFilters: datadog.DatasetProductFilterArray{
&datadog.DatasetProductFilterArgs{
Filters: pulumi.StringArray{
pulumi.String("string"),
},
Product: pulumi.String("string"),
},
},
})
var datasetResource = new Dataset("datasetResource", DatasetArgs.builder()
.name("string")
.principals("string")
.productFilters(DatasetProductFilterArgs.builder()
.filters("string")
.product("string")
.build())
.build());
dataset_resource = datadog.Dataset("datasetResource",
name="string",
principals=["string"],
product_filters=[{
"filters": ["string"],
"product": "string",
}])
const datasetResource = new datadog.Dataset("datasetResource", {
name: "string",
principals: ["string"],
productFilters: [{
filters: ["string"],
product: "string",
}],
});
type: datadog:Dataset
properties:
name: string
principals:
- string
productFilters:
- filters:
- string
product: string
Dataset Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.
The Dataset resource accepts the following input properties:
- Name string
- The name of the dataset.
- Principals List<string>
- An array of principals. A principal is a subject or group of subjects. Each principal is formatted as
type:id
. Supported types:role
andteam
. - Product
Filters List<DatasetProduct Filter>
- Name string
- The name of the dataset.
- Principals []string
- An array of principals. A principal is a subject or group of subjects. Each principal is formatted as
type:id
. Supported types:role
andteam
. - Product
Filters []DatasetProduct Filter Args
- name String
- The name of the dataset.
- principals List<String>
- An array of principals. A principal is a subject or group of subjects. Each principal is formatted as
type:id
. Supported types:role
andteam
. - product
Filters List<DatasetProduct Filter>
- name string
- The name of the dataset.
- principals string[]
- An array of principals. A principal is a subject or group of subjects. Each principal is formatted as
type:id
. Supported types:role
andteam
. - product
Filters DatasetProduct Filter[]
- name str
- The name of the dataset.
- principals Sequence[str]
- An array of principals. A principal is a subject or group of subjects. Each principal is formatted as
type:id
. Supported types:role
andteam
. - product_
filters Sequence[DatasetProduct Filter Args]
- name String
- The name of the dataset.
- principals List<String>
- An array of principals. A principal is a subject or group of subjects. Each principal is formatted as
type:id
. Supported types:role
andteam
. - product
Filters List<Property Map>
Outputs
All input properties are implicitly available as output properties. Additionally, the Dataset resource produces the following output properties:
- created_
at str - Indicates when the dataset was created (in ISO 8601).
- created_
by str - Indicates who created the dataset.
- id str
- The provider-assigned unique ID for this managed resource.
Look up Existing Dataset Resource
Get an existing Dataset resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.
public static get(name: string, id: Input<ID>, state?: DatasetState, opts?: CustomResourceOptions): Dataset
@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
created_at: Optional[str] = None,
created_by: Optional[str] = None,
name: Optional[str] = None,
principals: Optional[Sequence[str]] = None,
product_filters: Optional[Sequence[DatasetProductFilterArgs]] = None) -> Dataset
func GetDataset(ctx *Context, name string, id IDInput, state *DatasetState, opts ...ResourceOption) (*Dataset, error)
public static Dataset Get(string name, Input<string> id, DatasetState? state, CustomResourceOptions? opts = null)
public static Dataset get(String name, Output<String> id, DatasetState state, CustomResourceOptions options)
resources: _: type: datadog:Dataset get: id: ${id}
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- resource_name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- Created
At string - Indicates when the dataset was created (in ISO 8601).
- Created
By string - Indicates who created the dataset.
- Name string
- The name of the dataset.
- Principals List<string>
- An array of principals. A principal is a subject or group of subjects. Each principal is formatted as
type:id
. Supported types:role
andteam
. - Product
Filters List<DatasetProduct Filter>
- Created
At string - Indicates when the dataset was created (in ISO 8601).
- Created
By string - Indicates who created the dataset.
- Name string
- The name of the dataset.
- Principals []string
- An array of principals. A principal is a subject or group of subjects. Each principal is formatted as
type:id
. Supported types:role
andteam
. - Product
Filters []DatasetProduct Filter Args
- created
At String - Indicates when the dataset was created (in ISO 8601).
- created
By String - Indicates who created the dataset.
- name String
- The name of the dataset.
- principals List<String>
- An array of principals. A principal is a subject or group of subjects. Each principal is formatted as
type:id
. Supported types:role
andteam
. - product
Filters List<DatasetProduct Filter>
- created
At string - Indicates when the dataset was created (in ISO 8601).
- created
By string - Indicates who created the dataset.
- name string
- The name of the dataset.
- principals string[]
- An array of principals. A principal is a subject or group of subjects. Each principal is formatted as
type:id
. Supported types:role
andteam
. - product
Filters DatasetProduct Filter[]
- created_
at str - Indicates when the dataset was created (in ISO 8601).
- created_
by str - Indicates who created the dataset.
- name str
- The name of the dataset.
- principals Sequence[str]
- An array of principals. A principal is a subject or group of subjects. Each principal is formatted as
type:id
. Supported types:role
andteam
. - product_
filters Sequence[DatasetProduct Filter Args]
- created
At String - Indicates when the dataset was created (in ISO 8601).
- created
By String - Indicates who created the dataset.
- name String
- The name of the dataset.
- principals List<String>
- An array of principals. A principal is a subject or group of subjects. Each principal is formatted as
type:id
. Supported types:role
andteam
. - product
Filters List<Property Map>
Supporting Types
DatasetProductFilter, DatasetProductFilterArgs
Import
The pulumi import
command can be used, for example:
$ pulumi import datadog:index/dataset:Dataset foo "<dataset_id>"
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Datadog pulumi/pulumi-datadog
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
datadog
Terraform Provider.