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PackagesGoogle Cloud Classic v7.20.0 published on Wednesday, Apr 24, 2024 by Pulumi
gcp.vertex.AiFeatureGroup
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Vertex AI Feature Group.
To get more information about FeatureGroup, see:
- API documentation
- How-to Guides
Example Usage
Vertex Ai Feature Group
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const sampleDataset = new gcp.bigquery.Dataset("sample_dataset", {
datasetId: "job_load_dataset",
friendlyName: "test",
description: "This is a test description",
location: "US",
});
const sampleTable = new gcp.bigquery.Table("sample_table", {
deletionProtection: false,
datasetId: sampleDataset.datasetId,
tableId: "job_load_table",
schema: `[
{
"name": "feature_id",
"type": "STRING",
"mode": "NULLABLE"
},
{
"name": "feature_timestamp",
"type": "TIMESTAMP",
"mode": "NULLABLE"
}
]
`,
});
const featureGroup = new gcp.vertex.AiFeatureGroup("feature_group", {
name: "example_feature_group",
description: "A sample feature group",
region: "us-central1",
labels: {
"label-one": "value-one",
},
bigQuery: {
bigQuerySource: {
inputUri: pulumi.interpolate`bq://${sampleTable.project}.${sampleTable.datasetId}.${sampleTable.tableId}`,
},
entityIdColumns: ["feature_id"],
},
});
import pulumi
import pulumi_gcp as gcp
sample_dataset = gcp.bigquery.Dataset("sample_dataset",
dataset_id="job_load_dataset",
friendly_name="test",
description="This is a test description",
location="US")
sample_table = gcp.bigquery.Table("sample_table",
deletion_protection=False,
dataset_id=sample_dataset.dataset_id,
table_id="job_load_table",
schema="""[
{
"name": "feature_id",
"type": "STRING",
"mode": "NULLABLE"
},
{
"name": "feature_timestamp",
"type": "TIMESTAMP",
"mode": "NULLABLE"
}
]
""")
feature_group = gcp.vertex.AiFeatureGroup("feature_group",
name="example_feature_group",
description="A sample feature group",
region="us-central1",
labels={
"label-one": "value-one",
},
big_query=gcp.vertex.AiFeatureGroupBigQueryArgs(
big_query_source=gcp.vertex.AiFeatureGroupBigQueryBigQuerySourceArgs(
input_uri=pulumi.Output.all(sample_table.project, sample_table.dataset_id, sample_table.table_id).apply(lambda project, dataset_id, table_id: f"bq://{project}.{dataset_id}.{table_id}"),
),
entity_id_columns=["feature_id"],
))
package main
import (
"fmt"
"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/bigquery"
"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/vertex"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
sampleDataset, err := bigquery.NewDataset(ctx, "sample_dataset", &bigquery.DatasetArgs{
DatasetId: pulumi.String("job_load_dataset"),
FriendlyName: pulumi.String("test"),
Description: pulumi.String("This is a test description"),
Location: pulumi.String("US"),
})
if err != nil {
return err
}
sampleTable, err := bigquery.NewTable(ctx, "sample_table", &bigquery.TableArgs{
DeletionProtection: pulumi.Bool(false),
DatasetId: sampleDataset.DatasetId,
TableId: pulumi.String("job_load_table"),
Schema: pulumi.String(`[
{
"name": "feature_id",
"type": "STRING",
"mode": "NULLABLE"
},
{
"name": "feature_timestamp",
"type": "TIMESTAMP",
"mode": "NULLABLE"
}
]
`),
})
if err != nil {
return err
}
_, err = vertex.NewAiFeatureGroup(ctx, "feature_group", &vertex.AiFeatureGroupArgs{
Name: pulumi.String("example_feature_group"),
Description: pulumi.String("A sample feature group"),
Region: pulumi.String("us-central1"),
Labels: pulumi.StringMap{
"label-one": pulumi.String("value-one"),
},
BigQuery: &vertex.AiFeatureGroupBigQueryArgs{
BigQuerySource: &vertex.AiFeatureGroupBigQueryBigQuerySourceArgs{
InputUri: pulumi.All(sampleTable.Project, sampleTable.DatasetId, sampleTable.TableId).ApplyT(func(_args []interface{}) (string, error) {
project := _args[0].(string)
datasetId := _args[1].(string)
tableId := _args[2].(string)
return fmt.Sprintf("bq://%v.%v.%v", project, datasetId, tableId), nil
}).(pulumi.StringOutput),
},
EntityIdColumns: pulumi.StringArray{
pulumi.String("feature_id"),
},
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
var sampleDataset = new Gcp.BigQuery.Dataset("sample_dataset", new()
{
DatasetId = "job_load_dataset",
FriendlyName = "test",
Description = "This is a test description",
Location = "US",
});
var sampleTable = new Gcp.BigQuery.Table("sample_table", new()
{
DeletionProtection = false,
DatasetId = sampleDataset.DatasetId,
TableId = "job_load_table",
Schema = @"[
{
""name"": ""feature_id"",
""type"": ""STRING"",
""mode"": ""NULLABLE""
},
{
""name"": ""feature_timestamp"",
""type"": ""TIMESTAMP"",
""mode"": ""NULLABLE""
}
]
",
});
var featureGroup = new Gcp.Vertex.AiFeatureGroup("feature_group", new()
{
Name = "example_feature_group",
Description = "A sample feature group",
Region = "us-central1",
Labels =
{
{ "label-one", "value-one" },
},
BigQuery = new Gcp.Vertex.Inputs.AiFeatureGroupBigQueryArgs
{
BigQuerySource = new Gcp.Vertex.Inputs.AiFeatureGroupBigQueryBigQuerySourceArgs
{
InputUri = Output.Tuple(sampleTable.Project, sampleTable.DatasetId, sampleTable.TableId).Apply(values =>
{
var project = values.Item1;
var datasetId = values.Item2;
var tableId = values.Item3;
return $"bq://{project}.{datasetId}.{tableId}";
}),
},
EntityIdColumns = new[]
{
"feature_id",
},
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.bigquery.Dataset;
import com.pulumi.gcp.bigquery.DatasetArgs;
import com.pulumi.gcp.bigquery.Table;
import com.pulumi.gcp.bigquery.TableArgs;
import com.pulumi.gcp.vertex.AiFeatureGroup;
import com.pulumi.gcp.vertex.AiFeatureGroupArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureGroupBigQueryArgs;
import com.pulumi.gcp.vertex.inputs.AiFeatureGroupBigQueryBigQuerySourceArgs;
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) {
var sampleDataset = new Dataset("sampleDataset", DatasetArgs.builder()
.datasetId("job_load_dataset")
.friendlyName("test")
.description("This is a test description")
.location("US")
.build());
var sampleTable = new Table("sampleTable", TableArgs.builder()
.deletionProtection(false)
.datasetId(sampleDataset.datasetId())
.tableId("job_load_table")
.schema("""
[
{
"name": "feature_id",
"type": "STRING",
"mode": "NULLABLE"
},
{
"name": "feature_timestamp",
"type": "TIMESTAMP",
"mode": "NULLABLE"
}
]
""")
.build());
var featureGroup = new AiFeatureGroup("featureGroup", AiFeatureGroupArgs.builder()
.name("example_feature_group")
.description("A sample feature group")
.region("us-central1")
.labels(Map.of("label-one", "value-one"))
.bigQuery(AiFeatureGroupBigQueryArgs.builder()
.bigQuerySource(AiFeatureGroupBigQueryBigQuerySourceArgs.builder()
.inputUri(Output.tuple(sampleTable.project(), sampleTable.datasetId(), sampleTable.tableId()).applyValue(values -> {
var project = values.t1;
var datasetId = values.t2;
var tableId = values.t3;
return String.format("bq://%s.%s.%s", project,datasetId,tableId);
}))
.build())
.entityIdColumns("feature_id")
.build())
.build());
}
}
resources:
featureGroup:
type: gcp:vertex:AiFeatureGroup
name: feature_group
properties:
name: example_feature_group
description: A sample feature group
region: us-central1
labels:
label-one: value-one
bigQuery:
bigQuerySource:
inputUri: bq://${sampleTable.project}.${sampleTable.datasetId}.${sampleTable.tableId}
entityIdColumns:
- feature_id
sampleDataset:
type: gcp:bigquery:Dataset
name: sample_dataset
properties:
datasetId: job_load_dataset
friendlyName: test
description: This is a test description
location: US
sampleTable:
type: gcp:bigquery:Table
name: sample_table
properties:
deletionProtection: false
datasetId: ${sampleDataset.datasetId}
tableId: job_load_table
schema: |
[
{
"name": "feature_id",
"type": "STRING",
"mode": "NULLABLE"
},
{
"name": "feature_timestamp",
"type": "TIMESTAMP",
"mode": "NULLABLE"
}
]
Create AiFeatureGroup Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new AiFeatureGroup(name: string, args?: AiFeatureGroupArgs, opts?: CustomResourceOptions);@overload
def AiFeatureGroup(resource_name: str,
args: Optional[AiFeatureGroupArgs] = None,
opts: Optional[ResourceOptions] = None)
@overload
def AiFeatureGroup(resource_name: str,
opts: Optional[ResourceOptions] = None,
big_query: Optional[AiFeatureGroupBigQueryArgs] = None,
description: Optional[str] = None,
labels: Optional[Mapping[str, str]] = None,
name: Optional[str] = None,
project: Optional[str] = None,
region: Optional[str] = None)func NewAiFeatureGroup(ctx *Context, name string, args *AiFeatureGroupArgs, opts ...ResourceOption) (*AiFeatureGroup, error)public AiFeatureGroup(string name, AiFeatureGroupArgs? args = null, CustomResourceOptions? opts = null)
public AiFeatureGroup(String name, AiFeatureGroupArgs args)
public AiFeatureGroup(String name, AiFeatureGroupArgs args, CustomResourceOptions options)
type: gcp:vertex:AiFeatureGroup
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 AiFeatureGroupArgs
- 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 AiFeatureGroupArgs
- 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 AiFeatureGroupArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args AiFeatureGroupArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args AiFeatureGroupArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Example
The following reference example uses placeholder values for all input properties.
var aiFeatureGroupResource = new Gcp.Vertex.AiFeatureGroup("aiFeatureGroupResource", new()
{
BigQuery = new Gcp.Vertex.Inputs.AiFeatureGroupBigQueryArgs
{
BigQuerySource = new Gcp.Vertex.Inputs.AiFeatureGroupBigQueryBigQuerySourceArgs
{
InputUri = "string",
},
EntityIdColumns = new[]
{
"string",
},
},
Description = "string",
Labels =
{
{ "string", "string" },
},
Name = "string",
Project = "string",
Region = "string",
});
example, err := vertex.NewAiFeatureGroup(ctx, "aiFeatureGroupResource", &vertex.AiFeatureGroupArgs{
BigQuery: &vertex.AiFeatureGroupBigQueryArgs{
BigQuerySource: &vertex.AiFeatureGroupBigQueryBigQuerySourceArgs{
InputUri: pulumi.String("string"),
},
EntityIdColumns: pulumi.StringArray{
pulumi.String("string"),
},
},
Description: pulumi.String("string"),
Labels: pulumi.StringMap{
"string": pulumi.String("string"),
},
Name: pulumi.String("string"),
Project: pulumi.String("string"),
Region: pulumi.String("string"),
})
var aiFeatureGroupResource = new AiFeatureGroup("aiFeatureGroupResource", AiFeatureGroupArgs.builder()
.bigQuery(AiFeatureGroupBigQueryArgs.builder()
.bigQuerySource(AiFeatureGroupBigQueryBigQuerySourceArgs.builder()
.inputUri("string")
.build())
.entityIdColumns("string")
.build())
.description("string")
.labels(Map.of("string", "string"))
.name("string")
.project("string")
.region("string")
.build());
ai_feature_group_resource = gcp.vertex.AiFeatureGroup("aiFeatureGroupResource",
big_query=gcp.vertex.AiFeatureGroupBigQueryArgs(
big_query_source=gcp.vertex.AiFeatureGroupBigQueryBigQuerySourceArgs(
input_uri="string",
),
entity_id_columns=["string"],
),
description="string",
labels={
"string": "string",
},
name="string",
project="string",
region="string")
const aiFeatureGroupResource = new gcp.vertex.AiFeatureGroup("aiFeatureGroupResource", {
bigQuery: {
bigQuerySource: {
inputUri: "string",
},
entityIdColumns: ["string"],
},
description: "string",
labels: {
string: "string",
},
name: "string",
project: "string",
region: "string",
});
type: gcp:vertex:AiFeatureGroup
properties:
bigQuery:
bigQuerySource:
inputUri: string
entityIdColumns:
- string
description: string
labels:
string: string
name: string
project: string
region: string
AiFeatureGroup Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
The AiFeatureGroup resource accepts the following input properties:
- Big
Query AiFeature Group Big Query - Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a feature_timestamp column in the source. Structure is documented below.
- Description string
- The description of the FeatureGroup.
- Labels Dictionary<string, string>
- The labels with user-defined metadata to organize your FeatureGroup.
Note: This field is non-authoritative, and will only manage the labels present in your configuration.
Please refer to the field
effective_labelsfor all of the labels present on the resource. - Name string
- The resource name of the Feature Group.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- Region string
- The region of feature group. eg us-central1
- Big
Query AiFeature Group Big Query Args - Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a feature_timestamp column in the source. Structure is documented below.
- Description string
- The description of the FeatureGroup.
- Labels map[string]string
- The labels with user-defined metadata to organize your FeatureGroup.
Note: This field is non-authoritative, and will only manage the labels present in your configuration.
Please refer to the field
effective_labelsfor all of the labels present on the resource. - Name string
- The resource name of the Feature Group.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- Region string
- The region of feature group. eg us-central1
- big
Query AiFeature Group Big Query - Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a feature_timestamp column in the source. Structure is documented below.
- description String
- The description of the FeatureGroup.
- labels Map<String,String>
- The labels with user-defined metadata to organize your FeatureGroup.
Note: This field is non-authoritative, and will only manage the labels present in your configuration.
Please refer to the field
effective_labelsfor all of the labels present on the resource. - name String
- The resource name of the Feature Group.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- region String
- The region of feature group. eg us-central1
- big
Query AiFeature Group Big Query - Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a feature_timestamp column in the source. Structure is documented below.
- description string
- The description of the FeatureGroup.
- labels {[key: string]: string}
- The labels with user-defined metadata to organize your FeatureGroup.
Note: This field is non-authoritative, and will only manage the labels present in your configuration.
Please refer to the field
effective_labelsfor all of the labels present on the resource. - name string
- The resource name of the Feature Group.
- project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- region string
- The region of feature group. eg us-central1
- big_
query AiFeature Group Big Query Args - Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a feature_timestamp column in the source. Structure is documented below.
- description str
- The description of the FeatureGroup.
- labels Mapping[str, str]
- The labels with user-defined metadata to organize your FeatureGroup.
Note: This field is non-authoritative, and will only manage the labels present in your configuration.
Please refer to the field
effective_labelsfor all of the labels present on the resource. - name str
- The resource name of the Feature Group.
- project str
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- region str
- The region of feature group. eg us-central1
- big
Query Property Map - Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a feature_timestamp column in the source. Structure is documented below.
- description String
- The description of the FeatureGroup.
- labels Map<String>
- The labels with user-defined metadata to organize your FeatureGroup.
Note: This field is non-authoritative, and will only manage the labels present in your configuration.
Please refer to the field
effective_labelsfor all of the labels present on the resource. - name String
- The resource name of the Feature Group.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- region String
- The region of feature group. eg us-central1
Outputs
All input properties are implicitly available as output properties. Additionally, the AiFeatureGroup resource produces the following output properties:
- Create
Time string - The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- Effective
Labels Dictionary<string, string> - All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
- Etag string
- Used to perform consistent read-modify-write updates.
- Id string
- The provider-assigned unique ID for this managed resource.
- Pulumi
Labels Dictionary<string, string> - The combination of labels configured directly on the resource and default labels configured on the provider.
- Update
Time string - The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- Create
Time string - The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- Effective
Labels map[string]string - All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
- Etag string
- Used to perform consistent read-modify-write updates.
- Id string
- The provider-assigned unique ID for this managed resource.
- Pulumi
Labels map[string]string - The combination of labels configured directly on the resource and default labels configured on the provider.
- Update
Time string - The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- create
Time String - The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- effective
Labels Map<String,String> - All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
- etag String
- Used to perform consistent read-modify-write updates.
- id String
- The provider-assigned unique ID for this managed resource.
- pulumi
Labels Map<String,String> - The combination of labels configured directly on the resource and default labels configured on the provider.
- update
Time String - The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- create
Time string - The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- effective
Labels {[key: string]: string} - All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
- etag string
- Used to perform consistent read-modify-write updates.
- id string
- The provider-assigned unique ID for this managed resource.
- pulumi
Labels {[key: string]: string} - The combination of labels configured directly on the resource and default labels configured on the provider.
- update
Time string - The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- create_
time str - The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- effective_
labels Mapping[str, str] - All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
- etag str
- Used to perform consistent read-modify-write updates.
- id str
- The provider-assigned unique ID for this managed resource.
- pulumi_
labels Mapping[str, str] - The combination of labels configured directly on the resource and default labels configured on the provider.
- update_
time str - The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- create
Time String - The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- effective
Labels Map<String> - All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
- etag String
- Used to perform consistent read-modify-write updates.
- id String
- The provider-assigned unique ID for this managed resource.
- pulumi
Labels Map<String> - The combination of labels configured directly on the resource and default labels configured on the provider.
- update
Time String - The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
Look up Existing AiFeatureGroup Resource
Get an existing AiFeatureGroup 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?: AiFeatureGroupState, opts?: CustomResourceOptions): AiFeatureGroup@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
big_query: Optional[AiFeatureGroupBigQueryArgs] = None,
create_time: Optional[str] = None,
description: Optional[str] = None,
effective_labels: Optional[Mapping[str, str]] = None,
etag: Optional[str] = None,
labels: Optional[Mapping[str, str]] = None,
name: Optional[str] = None,
project: Optional[str] = None,
pulumi_labels: Optional[Mapping[str, str]] = None,
region: Optional[str] = None,
update_time: Optional[str] = None) -> AiFeatureGroupfunc GetAiFeatureGroup(ctx *Context, name string, id IDInput, state *AiFeatureGroupState, opts ...ResourceOption) (*AiFeatureGroup, error)public static AiFeatureGroup Get(string name, Input<string> id, AiFeatureGroupState? state, CustomResourceOptions? opts = null)public static AiFeatureGroup get(String name, Output<String> id, AiFeatureGroupState state, CustomResourceOptions options)Resource lookup is not supported in YAML- 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.
- Big
Query AiFeature Group Big Query - Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a feature_timestamp column in the source. Structure is documented below.
- Create
Time string - The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- Description string
- The description of the FeatureGroup.
- Effective
Labels Dictionary<string, string> - All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
- Etag string
- Used to perform consistent read-modify-write updates.
- Labels Dictionary<string, string>
- The labels with user-defined metadata to organize your FeatureGroup.
Note: This field is non-authoritative, and will only manage the labels present in your configuration.
Please refer to the field
effective_labelsfor all of the labels present on the resource. - Name string
- The resource name of the Feature Group.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- Pulumi
Labels Dictionary<string, string> - The combination of labels configured directly on the resource and default labels configured on the provider.
- Region string
- The region of feature group. eg us-central1
- Update
Time string - The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- Big
Query AiFeature Group Big Query Args - Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a feature_timestamp column in the source. Structure is documented below.
- Create
Time string - The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- Description string
- The description of the FeatureGroup.
- Effective
Labels map[string]string - All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
- Etag string
- Used to perform consistent read-modify-write updates.
- Labels map[string]string
- The labels with user-defined metadata to organize your FeatureGroup.
Note: This field is non-authoritative, and will only manage the labels present in your configuration.
Please refer to the field
effective_labelsfor all of the labels present on the resource. - Name string
- The resource name of the Feature Group.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- Pulumi
Labels map[string]string - The combination of labels configured directly on the resource and default labels configured on the provider.
- Region string
- The region of feature group. eg us-central1
- Update
Time string - The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- big
Query AiFeature Group Big Query - Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a feature_timestamp column in the source. Structure is documented below.
- create
Time String - The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- description String
- The description of the FeatureGroup.
- effective
Labels Map<String,String> - All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
- etag String
- Used to perform consistent read-modify-write updates.
- labels Map<String,String>
- The labels with user-defined metadata to organize your FeatureGroup.
Note: This field is non-authoritative, and will only manage the labels present in your configuration.
Please refer to the field
effective_labelsfor all of the labels present on the resource. - name String
- The resource name of the Feature Group.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- pulumi
Labels Map<String,String> - The combination of labels configured directly on the resource and default labels configured on the provider.
- region String
- The region of feature group. eg us-central1
- update
Time String - The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- big
Query AiFeature Group Big Query - Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a feature_timestamp column in the source. Structure is documented below.
- create
Time string - The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- description string
- The description of the FeatureGroup.
- effective
Labels {[key: string]: string} - All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
- etag string
- Used to perform consistent read-modify-write updates.
- labels {[key: string]: string}
- The labels with user-defined metadata to organize your FeatureGroup.
Note: This field is non-authoritative, and will only manage the labels present in your configuration.
Please refer to the field
effective_labelsfor all of the labels present on the resource. - name string
- The resource name of the Feature Group.
- project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- pulumi
Labels {[key: string]: string} - The combination of labels configured directly on the resource and default labels configured on the provider.
- region string
- The region of feature group. eg us-central1
- update
Time string - The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- big_
query AiFeature Group Big Query Args - Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a feature_timestamp column in the source. Structure is documented below.
- create_
time str - The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- description str
- The description of the FeatureGroup.
- effective_
labels Mapping[str, str] - All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
- etag str
- Used to perform consistent read-modify-write updates.
- labels Mapping[str, str]
- The labels with user-defined metadata to organize your FeatureGroup.
Note: This field is non-authoritative, and will only manage the labels present in your configuration.
Please refer to the field
effective_labelsfor all of the labels present on the resource. - name str
- The resource name of the Feature Group.
- project str
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- pulumi_
labels Mapping[str, str] - The combination of labels configured directly on the resource and default labels configured on the provider.
- region str
- The region of feature group. eg us-central1
- update_
time str - The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- big
Query Property Map - Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a feature_timestamp column in the source. Structure is documented below.
- create
Time String - The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
- description String
- The description of the FeatureGroup.
- effective
Labels Map<String> - All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
- etag String
- Used to perform consistent read-modify-write updates.
- labels Map<String>
- The labels with user-defined metadata to organize your FeatureGroup.
Note: This field is non-authoritative, and will only manage the labels present in your configuration.
Please refer to the field
effective_labelsfor all of the labels present on the resource. - name String
- The resource name of the Feature Group.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- pulumi
Labels Map<String> - The combination of labels configured directly on the resource and default labels configured on the provider.
- region String
- The region of feature group. eg us-central1
- update
Time String - The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
Supporting Types
AiFeatureGroupBigQuery, AiFeatureGroupBigQueryArgs
- Big
Query AiSource Feature Group Big Query Big Query Source - The BigQuery source URI that points to either a BigQuery Table or View. Structure is documented below.
- Entity
Id List<string>Columns - Columns to construct entityId / row keys. Currently only supports 1 entity_id_column. If not provided defaults to entityId.
- Big
Query AiSource Feature Group Big Query Big Query Source - The BigQuery source URI that points to either a BigQuery Table or View. Structure is documented below.
- Entity
Id []stringColumns - Columns to construct entityId / row keys. Currently only supports 1 entity_id_column. If not provided defaults to entityId.
- big
Query AiSource Feature Group Big Query Big Query Source - The BigQuery source URI that points to either a BigQuery Table or View. Structure is documented below.
- entity
Id List<String>Columns - Columns to construct entityId / row keys. Currently only supports 1 entity_id_column. If not provided defaults to entityId.
- big
Query AiSource Feature Group Big Query Big Query Source - The BigQuery source URI that points to either a BigQuery Table or View. Structure is documented below.
- entity
Id string[]Columns - Columns to construct entityId / row keys. Currently only supports 1 entity_id_column. If not provided defaults to entityId.
- big_
query_ Aisource Feature Group Big Query Big Query Source - The BigQuery source URI that points to either a BigQuery Table or View. Structure is documented below.
- entity_
id_ Sequence[str]columns - Columns to construct entityId / row keys. Currently only supports 1 entity_id_column. If not provided defaults to entityId.
- big
Query Property MapSource - The BigQuery source URI that points to either a BigQuery Table or View. Structure is documented below.
- entity
Id List<String>Columns - Columns to construct entityId / row keys. Currently only supports 1 entity_id_column. If not provided defaults to entityId.
AiFeatureGroupBigQueryBigQuerySource, AiFeatureGroupBigQueryBigQuerySourceArgs
- Input
Uri string - BigQuery URI to a table, up to 2000 characters long. For example:
bq://projectId.bqDatasetId.bqTableId.
- Input
Uri string - BigQuery URI to a table, up to 2000 characters long. For example:
bq://projectId.bqDatasetId.bqTableId.
- input
Uri String - BigQuery URI to a table, up to 2000 characters long. For example:
bq://projectId.bqDatasetId.bqTableId.
- input
Uri string - BigQuery URI to a table, up to 2000 characters long. For example:
bq://projectId.bqDatasetId.bqTableId.
- input_
uri str - BigQuery URI to a table, up to 2000 characters long. For example:
bq://projectId.bqDatasetId.bqTableId.
- input
Uri String - BigQuery URI to a table, up to 2000 characters long. For example:
bq://projectId.bqDatasetId.bqTableId.
Import
FeatureGroup can be imported using any of these accepted formats:
projects/{{project}}/locations/{{region}}/featureGroups/{{name}}{{project}}/{{region}}/{{name}}{{region}}/{{name}}{{name}}
When using the pulumi import command, FeatureGroup can be imported using one of the formats above. For example:
$ pulumi import gcp:vertex/aiFeatureGroup:AiFeatureGroup default projects/{{project}}/locations/{{region}}/featureGroups/{{name}}
$ pulumi import gcp:vertex/aiFeatureGroup:AiFeatureGroup default {{project}}/{{region}}/{{name}}
$ pulumi import gcp:vertex/aiFeatureGroup:AiFeatureGroup default {{region}}/{{name}}
$ pulumi import gcp:vertex/aiFeatureGroup:AiFeatureGroup default {{name}}
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Google Cloud (GCP) Classic pulumi/pulumi-gcp
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
google-betaTerraform Provider.