CreateDataSourceInput

Struct CreateDataSourceInput 

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#[non_exhaustive]
pub struct CreateDataSourceInput { pub application_id: Option<String>, pub index_id: Option<String>, pub display_name: Option<String>, pub configuration: Option<Document>, pub vpc_configuration: Option<DataSourceVpcConfiguration>, pub description: Option<String>, pub tags: Option<Vec<Tag>>, pub sync_schedule: Option<String>, pub role_arn: Option<String>, pub client_token: Option<String>, pub document_enrichment_configuration: Option<DocumentEnrichmentConfiguration>, pub media_extraction_configuration: Option<MediaExtractionConfiguration>, }

Fields (Non-exhaustive)§

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
§application_id: Option<String>

The identifier of the Amazon Q Business application the data source will be attached to.

§index_id: Option<String>

The identifier of the index that you want to use with the data source connector.

§display_name: Option<String>

A name for the data source connector.

§configuration: Option<Document>

Configuration information to connect your data source repository to Amazon Q Business. Use this parameter to provide a JSON schema with configuration information specific to your data source connector.

Each data source has a JSON schema provided by Amazon Q Business that you must use. For example, the Amazon S3 and Web Crawler connectors require the following JSON schemas:

You can find configuration templates for your specific data source using the following steps:

  1. Navigate to the Supported connectors page in the Amazon Q Business User Guide, and select the data source of your choice.

  2. Then, from your specific data source connector page, select Using the API. You will find the JSON schema for your data source, including parameter descriptions, in this section.

§vpc_configuration: Option<DataSourceVpcConfiguration>

Configuration information for an Amazon VPC (Virtual Private Cloud) to connect to your data source. For more information, see Using Amazon VPC with Amazon Q Business connectors.

§description: Option<String>

A description for the data source connector.

§tags: Option<Vec<Tag>>

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

§sync_schedule: Option<String>

Sets the frequency for Amazon Q Business to check the documents in your data source repository and update your index. If you don't set a schedule, Amazon Q Business won't periodically update the index.

Specify a cron- format schedule string or an empty string to indicate that the index is updated on demand. You can't specify the Schedule parameter when the Type parameter is set to CUSTOM. If you do, you receive a ValidationException exception.

§role_arn: Option<String>

The Amazon Resource Name (ARN) of an IAM role with permission to access the data source and required resources. This field is required for all connector types except custom connectors, where it is optional.

§client_token: Option<String>

A token you provide to identify a request to create a data source connector. Multiple calls to the CreateDataSource API with the same client token will create only one data source connector.

§document_enrichment_configuration: Option<DocumentEnrichmentConfiguration>

Provides the configuration information for altering document metadata and content during the document ingestion process.

For more information, see Custom document enrichment.

§media_extraction_configuration: Option<MediaExtractionConfiguration>

The configuration for extracting information from media in documents during ingestion.

Implementations§

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impl CreateDataSourceInput

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pub fn application_id(&self) -> Option<&str>

The identifier of the Amazon Q Business application the data source will be attached to.

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pub fn index_id(&self) -> Option<&str>

The identifier of the index that you want to use with the data source connector.

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pub fn display_name(&self) -> Option<&str>

A name for the data source connector.

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pub fn configuration(&self) -> Option<&Document>

Configuration information to connect your data source repository to Amazon Q Business. Use this parameter to provide a JSON schema with configuration information specific to your data source connector.

Each data source has a JSON schema provided by Amazon Q Business that you must use. For example, the Amazon S3 and Web Crawler connectors require the following JSON schemas:

You can find configuration templates for your specific data source using the following steps:

  1. Navigate to the Supported connectors page in the Amazon Q Business User Guide, and select the data source of your choice.

  2. Then, from your specific data source connector page, select Using the API. You will find the JSON schema for your data source, including parameter descriptions, in this section.

Source

pub fn vpc_configuration(&self) -> Option<&DataSourceVpcConfiguration>

Configuration information for an Amazon VPC (Virtual Private Cloud) to connect to your data source. For more information, see Using Amazon VPC with Amazon Q Business connectors.

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pub fn description(&self) -> Option<&str>

A description for the data source connector.

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pub fn tags(&self) -> &[Tag]

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

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .tags.is_none().

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pub fn sync_schedule(&self) -> Option<&str>

Sets the frequency for Amazon Q Business to check the documents in your data source repository and update your index. If you don't set a schedule, Amazon Q Business won't periodically update the index.

Specify a cron- format schedule string or an empty string to indicate that the index is updated on demand. You can't specify the Schedule parameter when the Type parameter is set to CUSTOM. If you do, you receive a ValidationException exception.

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pub fn role_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of an IAM role with permission to access the data source and required resources. This field is required for all connector types except custom connectors, where it is optional.

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pub fn client_token(&self) -> Option<&str>

A token you provide to identify a request to create a data source connector. Multiple calls to the CreateDataSource API with the same client token will create only one data source connector.

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pub fn document_enrichment_configuration( &self, ) -> Option<&DocumentEnrichmentConfiguration>

Provides the configuration information for altering document metadata and content during the document ingestion process.

For more information, see Custom document enrichment.

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pub fn media_extraction_configuration( &self, ) -> Option<&MediaExtractionConfiguration>

The configuration for extracting information from media in documents during ingestion.

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impl CreateDataSourceInput

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pub fn builder() -> CreateDataSourceInputBuilder

Creates a new builder-style object to manufacture CreateDataSourceInput.

Trait Implementations§

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impl Clone for CreateDataSourceInput

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fn clone(&self) -> CreateDataSourceInput

Returns a duplicate of the value. Read more
1.0.0 · Source§

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

Performs copy-assignment from source. Read more
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impl Debug for CreateDataSourceInput

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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 PartialEq for CreateDataSourceInput

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fn eq(&self, other: &CreateDataSourceInput) -> 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 CreateDataSourceInput

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