Class VertexAiFeaturestoreConfig.Builder
- java.lang.Object
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- com.hashicorp.cdktf.providers.google.vertex_ai_featurestore.VertexAiFeaturestoreConfig.Builder
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- All Implemented Interfaces:
software.amazon.jsii.Builder<VertexAiFeaturestoreConfig>
- Enclosing interface:
- VertexAiFeaturestoreConfig
@Stability(Stable) public static final class VertexAiFeaturestoreConfig.Builder extends Object implements software.amazon.jsii.Builder<VertexAiFeaturestoreConfig>
A builder forVertexAiFeaturestoreConfig
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Constructor Summary
Constructors Constructor Description Builder()
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Method Summary
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Method Detail
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encryptionSpec
@Stability(Stable) public VertexAiFeaturestoreConfig.Builder encryptionSpec(VertexAiFeaturestoreEncryptionSpec encryptionSpec)
Sets the value ofVertexAiFeaturestoreConfig.getEncryptionSpec()- Parameters:
encryptionSpec- encryption_spec block. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_featurestore#encryption_spec VertexAiFeaturestore#encryption_spec}- Returns:
this
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forceDestroy
@Stability(Stable) public VertexAiFeaturestoreConfig.Builder forceDestroy(Boolean forceDestroy)
Sets the value ofVertexAiFeaturestoreConfig.getForceDestroy()- Parameters:
forceDestroy- If set to true, any EntityTypes and Features for this Featurestore will also be deleted. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_featurestore#force_destroy VertexAiFeaturestore#force_destroy}- Returns:
this
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forceDestroy
@Stability(Stable) public VertexAiFeaturestoreConfig.Builder forceDestroy(com.hashicorp.cdktf.IResolvable forceDestroy)
Sets the value ofVertexAiFeaturestoreConfig.getForceDestroy()- Parameters:
forceDestroy- If set to true, any EntityTypes and Features for this Featurestore will also be deleted. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_featurestore#force_destroy VertexAiFeaturestore#force_destroy}- Returns:
this
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id
@Stability(Stable) public VertexAiFeaturestoreConfig.Builder id(String id)
Sets the value ofVertexAiFeaturestoreConfig.getId()- Parameters:
id- Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_featurestore#id VertexAiFeaturestore#id}. Please be aware that the id field is automatically added to all resources in Terraform providers using a Terraform provider SDK version below 2. If you experience problems setting this value it might not be settable. Please take a look at the provider documentation to ensure it should be settable.- Returns:
this
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labels
@Stability(Stable) public VertexAiFeaturestoreConfig.Builder labels(Map<String,String> labels)
Sets the value ofVertexAiFeaturestoreConfig.getLabels()- Parameters:
labels- A set of key/value label pairs to assign to this Featurestore. **Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field 'effective_labels' for all of the labels present on the resource. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_featurestore#labels VertexAiFeaturestore#labels}- Returns:
this
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name
@Stability(Stable) public VertexAiFeaturestoreConfig.Builder name(String name)
Sets the value ofVertexAiFeaturestoreConfig.getName()- Parameters:
name- The name of the Featurestore. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_featurestore#name VertexAiFeaturestore#name}- Returns:
this
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onlineServingConfig
@Stability(Stable) public VertexAiFeaturestoreConfig.Builder onlineServingConfig(VertexAiFeaturestoreOnlineServingConfig onlineServingConfig)
Sets the value ofVertexAiFeaturestoreConfig.getOnlineServingConfig()- Parameters:
onlineServingConfig- online_serving_config block. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_featurestore#online_serving_config VertexAiFeaturestore#online_serving_config}- Returns:
this
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project
@Stability(Stable) public VertexAiFeaturestoreConfig.Builder project(String project)
Sets the value ofVertexAiFeaturestoreConfig.getProject()- Parameters:
project- Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_featurestore#project VertexAiFeaturestore#project}.- Returns:
this
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region
@Stability(Stable) public VertexAiFeaturestoreConfig.Builder region(String region)
Sets the value ofVertexAiFeaturestoreConfig.getRegion()- Parameters:
region- The region of the dataset. eg us-central1. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_featurestore#region VertexAiFeaturestore#region}- Returns:
this
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timeouts
@Stability(Stable) public VertexAiFeaturestoreConfig.Builder timeouts(VertexAiFeaturestoreTimeouts timeouts)
Sets the value ofVertexAiFeaturestoreConfig.getTimeouts()- Parameters:
timeouts- timeouts block. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_featurestore#timeouts VertexAiFeaturestore#timeouts}- Returns:
this
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connection
@Stability(Experimental) public VertexAiFeaturestoreConfig.Builder connection(com.hashicorp.cdktf.SSHProvisionerConnection connection)
Sets the value ofTerraformMetaArguments.getConnection()- Parameters:
connection- the value to be set.- Returns:
this
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connection
@Stability(Experimental) public VertexAiFeaturestoreConfig.Builder connection(com.hashicorp.cdktf.WinrmProvisionerConnection connection)
Sets the value ofTerraformMetaArguments.getConnection()- Parameters:
connection- the value to be set.- Returns:
this
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count
@Stability(Experimental) public VertexAiFeaturestoreConfig.Builder count(Number count)
Sets the value ofTerraformMetaArguments.getCount()- Parameters:
count- the value to be set.- Returns:
this
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count
@Stability(Experimental) public VertexAiFeaturestoreConfig.Builder count(com.hashicorp.cdktf.TerraformCount count)
Sets the value ofTerraformMetaArguments.getCount()- Parameters:
count- the value to be set.- Returns:
this
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dependsOn
@Stability(Experimental) public VertexAiFeaturestoreConfig.Builder dependsOn(List<? extends com.hashicorp.cdktf.ITerraformDependable> dependsOn)
Sets the value ofTerraformMetaArguments.getDependsOn()- Parameters:
dependsOn- the value to be set.- Returns:
this
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forEach
@Stability(Experimental) public VertexAiFeaturestoreConfig.Builder forEach(com.hashicorp.cdktf.ITerraformIterator forEach)
Sets the value ofTerraformMetaArguments.getForEach()- Parameters:
forEach- the value to be set.- Returns:
this
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lifecycle
@Stability(Experimental) public VertexAiFeaturestoreConfig.Builder lifecycle(com.hashicorp.cdktf.TerraformResourceLifecycle lifecycle)
Sets the value ofTerraformMetaArguments.getLifecycle()- Parameters:
lifecycle- the value to be set.- Returns:
this
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provider
@Stability(Experimental) public VertexAiFeaturestoreConfig.Builder provider(com.hashicorp.cdktf.TerraformProvider provider)
Sets the value ofTerraformMetaArguments.getProvider()- Parameters:
provider- the value to be set.- Returns:
this
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provisioners
@Stability(Experimental) public VertexAiFeaturestoreConfig.Builder provisioners(List<? extends Object> provisioners)
Sets the value ofTerraformMetaArguments.getProvisioners()- Parameters:
provisioners- the value to be set.- Returns:
this
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build
@Stability(Stable) public VertexAiFeaturestoreConfig build()
Builds the configured instance.- Specified by:
buildin interfacesoftware.amazon.jsii.Builder<VertexAiFeaturestoreConfig>- Returns:
- a new instance of
VertexAiFeaturestoreConfig - Throws:
NullPointerException- if any required attribute was not provided
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