aws_sdk_kendra::operation::create_index::builders

Struct CreateIndexInputBuilder

#[non_exhaustive]
pub struct CreateIndexInputBuilder { /* private fields */ }

Expand description

A builder for CreateIndexInput.

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impl CreateIndexInputBuilder

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pub fn name(self, input: impl Into<String>) -> Self

A name for the index.

This field is required.

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pub fn set_name(self, input: Option<String>) -> Self

A name for the index.

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pub fn get_name(&self) -> &Option<String>

A name for the index.

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pub fn edition(self, input: IndexEdition) -> Self

The Amazon Kendra edition to use for the index. Choose DEVELOPER_EDITION for indexes intended for development, testing, or proof of concept. Use ENTERPRISE_EDITION for production. Use GEN_AI_ENTERPRISE_EDITION for creating generative AI applications. Once you set the edition for an index, it can't be changed.

The Edition parameter is optional. If you don't supply a value, the default is ENTERPRISE_EDITION.

For more information on quota limits for Gen AI Enterprise Edition, Enterprise Edition, and Developer Edition indices, see Quotas.

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pub fn set_edition(self, input: Option<IndexEdition>) -> Self

The Amazon Kendra edition to use for the index. Choose DEVELOPER_EDITION for indexes intended for development, testing, or proof of concept. Use ENTERPRISE_EDITION for production. Use GEN_AI_ENTERPRISE_EDITION for creating generative AI applications. Once you set the edition for an index, it can't be changed.

The Edition parameter is optional. If you don't supply a value, the default is ENTERPRISE_EDITION.

For more information on quota limits for Gen AI Enterprise Edition, Enterprise Edition, and Developer Edition indices, see Quotas.

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pub fn get_edition(&self) -> &Option<IndexEdition>

The Amazon Kendra edition to use for the index. Choose DEVELOPER_EDITION for indexes intended for development, testing, or proof of concept. Use ENTERPRISE_EDITION for production. Use GEN_AI_ENTERPRISE_EDITION for creating generative AI applications. Once you set the edition for an index, it can't be changed.

The Edition parameter is optional. If you don't supply a value, the default is ENTERPRISE_EDITION.

For more information on quota limits for Gen AI Enterprise Edition, Enterprise Edition, and Developer Edition indices, see Quotas.

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pub fn role_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of an IAM role with permission to access your Amazon CloudWatch logs and metrics. For more information, see IAM access roles for Amazon Kendra.

This field is required.

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pub fn set_role_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of an IAM role with permission to access your Amazon CloudWatch logs and metrics. For more information, see IAM access roles for Amazon Kendra.

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pub fn get_role_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of an IAM role with permission to access your Amazon CloudWatch logs and metrics. For more information, see IAM access roles for Amazon Kendra.

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pub fn server_side_encryption_configuration( self, input: ServerSideEncryptionConfiguration, ) -> Self

The identifier of the KMS customer managed key (CMK) that's used to encrypt data indexed by Amazon Kendra. Amazon Kendra doesn't support asymmetric CMKs.

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pub fn set_server_side_encryption_configuration( self, input: Option<ServerSideEncryptionConfiguration>, ) -> Self

The identifier of the KMS customer managed key (CMK) that's used to encrypt data indexed by Amazon Kendra. Amazon Kendra doesn't support asymmetric CMKs.

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pub fn get_server_side_encryption_configuration( &self, ) -> &Option<ServerSideEncryptionConfiguration>

The identifier of the KMS customer managed key (CMK) that's used to encrypt data indexed by Amazon Kendra. Amazon Kendra doesn't support asymmetric CMKs.

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pub fn description(self, input: impl Into<String>) -> Self

A description for the index.

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pub fn set_description(self, input: Option<String>) -> Self

A description for the index.

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pub fn get_description(&self) -> &Option<String>

A description for the index.

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pub fn client_token(self, input: impl Into<String>) -> Self

A token that you provide to identify the request to create an index. Multiple calls to the CreateIndex API with the same client token will create only one index.

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pub fn set_client_token(self, input: Option<String>) -> Self

A token that you provide to identify the request to create an index. Multiple calls to the CreateIndex API with the same client token will create only one index.

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pub fn get_client_token(&self) -> &Option<String>

A token that you provide to identify the request to create an index. Multiple calls to the CreateIndex API with the same client token will create only one index.

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pub fn tags(self, input: Tag) -> Self

Appends an item to tags.

To override the contents of this collection use set_tags.

A list of key-value pairs that identify or categorize the index. You can also use tags to help control access to the index. Tag keys and values can consist of Unicode letters, digits, white space, and any of the following symbols: _ . : / = + - @.

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pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

A list of key-value pairs that identify or categorize the index. You can also use tags to help control access to the index. Tag keys and values can consist of Unicode letters, digits, white space, and any of the following symbols: _ . : / = + - @.

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pub fn get_tags(&self) -> &Option<Vec<Tag>>

A list of key-value pairs that identify or categorize the index. You can also use tags to help control access to the index. Tag keys and values can consist of Unicode letters, digits, white space, and any of the following symbols: _ . : / = + - @.

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pub fn user_token_configurations(self, input: UserTokenConfiguration) -> Self

Appends an item to user_token_configurations.

To override the contents of this collection use set_user_token_configurations.

The user token configuration.

If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use UserTokenConfigurations to configure user context policy, Amazon Kendra returns a ValidationException error.

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pub fn set_user_token_configurations( self, input: Option<Vec<UserTokenConfiguration>>, ) -> Self

The user token configuration.

If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use UserTokenConfigurations to configure user context policy, Amazon Kendra returns a ValidationException error.

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pub fn get_user_token_configurations( &self, ) -> &Option<Vec<UserTokenConfiguration>>

The user token configuration.

If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use UserTokenConfigurations to configure user context policy, Amazon Kendra returns a ValidationException error.

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pub fn user_context_policy(self, input: UserContextPolicy) -> Self

The user context policy.

If you're using an Amazon Kendra Gen AI Enterprise Edition index, you can only use ATTRIBUTE_FILTER to filter search results by user context. If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use USER_TOKEN to configure user context policy, Amazon Kendra returns a ValidationException error.

ATTRIBUTE_FILTER: All indexed content is searchable and displayable for all users. If you want to filter search results on user context, you can use the attribute filters of _user_id and _group_ids or you can provide user and group information in UserContext.
USER_TOKEN: Enables token-based user access control to filter search results on user context. All documents with no access control and all documents accessible to the user will be searchable and displayable.

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pub fn set_user_context_policy(self, input: Option<UserContextPolicy>) -> Self

The user context policy.

If you're using an Amazon Kendra Gen AI Enterprise Edition index, you can only use ATTRIBUTE_FILTER to filter search results by user context. If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use USER_TOKEN to configure user context policy, Amazon Kendra returns a ValidationException error.

ATTRIBUTE_FILTER: All indexed content is searchable and displayable for all users. If you want to filter search results on user context, you can use the attribute filters of _user_id and _group_ids or you can provide user and group information in UserContext.
USER_TOKEN: Enables token-based user access control to filter search results on user context. All documents with no access control and all documents accessible to the user will be searchable and displayable.

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pub fn get_user_context_policy(&self) -> &Option<UserContextPolicy>

The user context policy.

If you're using an Amazon Kendra Gen AI Enterprise Edition index, you can only use ATTRIBUTE_FILTER to filter search results by user context. If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use USER_TOKEN to configure user context policy, Amazon Kendra returns a ValidationException error.

ATTRIBUTE_FILTER: All indexed content is searchable and displayable for all users. If you want to filter search results on user context, you can use the attribute filters of _user_id and _group_ids or you can provide user and group information in UserContext.
USER_TOKEN: Enables token-based user access control to filter search results on user context. All documents with no access control and all documents accessible to the user will be searchable and displayable.

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pub fn user_group_resolution_configuration( self, input: UserGroupResolutionConfiguration, ) -> Self

Gets users and groups from IAM Identity Center identity source. To configure this, see UserGroupResolutionConfiguration. This is useful for user context filtering, where search results are filtered based on the user or their group access to documents.

If you're using an Amazon Kendra Gen AI Enterprise Edition index, UserGroupResolutionConfiguration isn't supported.

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pub fn set_user_group_resolution_configuration( self, input: Option<UserGroupResolutionConfiguration>, ) -> Self

Gets users and groups from IAM Identity Center identity source. To configure this, see UserGroupResolutionConfiguration. This is useful for user context filtering, where search results are filtered based on the user or their group access to documents.

If you're using an Amazon Kendra Gen AI Enterprise Edition index, UserGroupResolutionConfiguration isn't supported.

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pub fn get_user_group_resolution_configuration( &self, ) -> &Option<UserGroupResolutionConfiguration>

Gets users and groups from IAM Identity Center identity source. To configure this, see UserGroupResolutionConfiguration. This is useful for user context filtering, where search results are filtered based on the user or their group access to documents.

If you're using an Amazon Kendra Gen AI Enterprise Edition index, UserGroupResolutionConfiguration isn't supported.

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pub fn build(self) -> Result<CreateIndexInput, BuildError>

Consumes the builder and constructs a CreateIndexInput.

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impl CreateIndexInputBuilder

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pub async fn send_with( self, client: &Client, ) -> Result<CreateIndexOutput, SdkError<CreateIndexError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations§

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impl Clone for CreateIndexInputBuilder

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fn clone(&self) -> CreateIndexInputBuilder

Returns a duplicate of the value. Read more

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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more

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impl Debug for CreateIndexInputBuilder

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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impl Default for CreateIndexInputBuilder

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fn default() -> CreateIndexInputBuilder

Returns the “default value” for a type. Read more

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impl PartialEq for CreateIndexInputBuilder

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fn eq(&self, other: &CreateIndexInputBuilder) -> bool

Tests for self and other values to be equal, and is used by ==.

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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

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impl StructuralPartialEq for CreateIndexInputBuilder

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impl UnwindSafe for CreateIndexInputBuilder

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CreateIndexInputBuilder

Struct CreateIndexInputBuilder Copy item path

Implementations§

impl CreateIndexInputBuilder

pub fn name(self, input: impl Into<String>) -> Self

pub fn set_name(self, input: Option<String>) -> Self

pub fn get_name(&self) -> &Option<String>

pub fn edition(self, input: IndexEdition) -> Self

pub fn set_edition(self, input: Option<IndexEdition>) -> Self

pub fn get_edition(&self) -> &Option<IndexEdition>

pub fn role_arn(self, input: impl Into<String>) -> Self

pub fn set_role_arn(self, input: Option<String>) -> Self

pub fn get_role_arn(&self) -> &Option<String>

pub fn server_side_encryption_configuration( self, input: ServerSideEncryptionConfiguration, ) -> Self

pub fn set_server_side_encryption_configuration( self, input: Option<ServerSideEncryptionConfiguration>, ) -> Self

pub fn get_server_side_encryption_configuration( &self, ) -> &Option<ServerSideEncryptionConfiguration>

pub fn description(self, input: impl Into<String>) -> Self

pub fn set_description(self, input: Option<String>) -> Self

pub fn get_description(&self) -> &Option<String>

pub fn client_token(self, input: impl Into<String>) -> Self

pub fn set_client_token(self, input: Option<String>) -> Self

pub fn get_client_token(&self) -> &Option<String>

pub fn tags(self, input: Tag) -> Self

pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

pub fn get_tags(&self) -> &Option<Vec<Tag>>

pub fn user_token_configurations(self, input: UserTokenConfiguration) -> Self

pub fn set_user_token_configurations( self, input: Option<Vec<UserTokenConfiguration>>, ) -> Self

pub fn get_user_token_configurations( &self, ) -> &Option<Vec<UserTokenConfiguration>>

pub fn user_context_policy(self, input: UserContextPolicy) -> Self

pub fn set_user_context_policy(self, input: Option<UserContextPolicy>) -> Self

pub fn get_user_context_policy(&self) -> &Option<UserContextPolicy>

pub fn user_group_resolution_configuration( self, input: UserGroupResolutionConfiguration, ) -> Self

pub fn set_user_group_resolution_configuration( self, input: Option<UserGroupResolutionConfiguration>, ) -> Self

pub fn get_user_group_resolution_configuration( &self, ) -> &Option<UserGroupResolutionConfiguration>

pub fn build(self) -> Result<CreateIndexInput, BuildError>

impl CreateIndexInputBuilder

pub async fn send_with( self, client: &Client, ) -> Result<CreateIndexOutput, SdkError<CreateIndexError, HttpResponse>>

Trait Implementations§

impl Clone for CreateIndexInputBuilder

fn clone(&self) -> CreateIndexInputBuilder

fn clone_from(&mut self, source: &Self)

impl Debug for CreateIndexInputBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

impl Default for CreateIndexInputBuilder

fn default() -> CreateIndexInputBuilder

impl PartialEq for CreateIndexInputBuilder

fn eq(&self, other: &CreateIndexInputBuilder) -> bool

fn ne(&self, other: &Rhs) -> bool

impl StructuralPartialEq for CreateIndexInputBuilder

Auto Trait Implementations§

impl Freeze for CreateIndexInputBuilder

impl RefUnwindSafe for CreateIndexInputBuilder

impl Send for CreateIndexInputBuilder

impl Sync for CreateIndexInputBuilder

impl Unpin for CreateIndexInputBuilder

impl UnwindSafe for CreateIndexInputBuilder

Blanket Implementations§

impl<T> Any for Twhere T: 'static + ?Sized,

fn type_id(&self) -> TypeId

impl<T> Borrow<T> for Twhere T: ?Sized,

fn borrow(&self) -> &T

impl<T> BorrowMut<T> for Twhere T: ?Sized,

fn borrow_mut(&mut self) -> &mut T

impl<T> CloneToUninit for Twhere T: Clone,

unsafe fn clone_to_uninit(&self, dest: *mut u8)

impl<T> From<T> for T

fn from(t: T) -> T

impl<T> Instrument for T

fn instrument(self, span: Span) -> Instrumented<Self>

fn in_current_span(self) -> Instrumented<Self>

impl<T, U> Into<U> for Twhere U: From<T>,

fn into(self) -> U

impl<T> IntoEither for T

fn into_either(self, into_left: bool) -> Either<Self, Self>

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>where F: FnOnce(&Self) -> bool,

impl<Unshared, Shared> IntoShared<Shared> for Unsharedwhere Shared: FromUnshared<Unshared>,

fn into_shared(self) -> Shared

impl<T> Paint for Twhere T: ?Sized,

fn fg(&self, value: Color) -> Painted<&T>

§Example

Struct CreateIndexInputBuilder

impl<T> Any for T
where T: 'static + ?Sized,

impl<T> Borrow<T> for T
where T: ?Sized,

impl<T> BorrowMut<T> for T
where T: ?Sized,

impl<T> CloneToUninit for T
where T: Clone,

impl<T, U> Into<U> for T
where U: From<T>,

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

impl<Unshared, Shared> IntoShared<Shared> for Unshared
where Shared: FromUnshared<Unshared>,

impl<T> Paint for T
where T: ?Sized,