Struct aws_sdk_honeycode::Client

pub struct Client { /* private fields */ }

Client for Amazon Honeycode

Client for invoking operations on Amazon Honeycode. Each operation on Amazon Honeycode is a method on this this struct. .send() MUST be invoked on the generated operations to dispatch the request to the service.

Constructing a Client

A Config is required to construct a client. For most use cases, the aws-config crate should be used to automatically resolve this config using aws_config::load_from_env(), since this will resolve an SdkConfig which can be shared across multiple different AWS SDK clients. This config resolution process can be customized by calling aws_config::from_env() instead, which returns a ConfigLoader that uses the builder pattern to customize the default config.

In the simplest case, creating a client looks as follows:

let config = aws_config::load_from_env().await;
let client = aws_sdk_honeycode::Client::new(&config);

Occasionally, SDKs may have additional service-specific values that can be set on the Config that is absent from SdkConfig, or slightly different settings for a specific client may be desired. The Config struct implements From<&SdkConfig>, so setting these specific settings can be done as follows:

let sdk_config = ::aws_config::load_from_env().await;
let config = aws_sdk_honeycode::config::Builder::from(&sdk_config)
    .some_service_specific_setting("value")
    .build();

See the aws-config docs and Config for more information on customizing configuration.

Note: Client construction is expensive due to connection thread pool initialization, and should be done once at application start-up.

Using the Client

A client has a function for every operation that can be performed by the service. For example, the BatchCreateTableRows operation has a Client::batch_create_table_rows, function which returns a builder for that operation. The fluent builder ultimately has a send() function that returns an async future that returns a result, as illustrated below:

let result = client.batch_create_table_rows()
    .workbook_id("example")
    .send()
    .await;

The underlying HTTP requests that get made by this can be modified with the customize_operation function on the fluent builder. See the customize module for more information.

Implementations

impl Client

pub fn batch_create_table_rows(&self) -> BatchCreateTableRowsFluentBuilder

Constructs a fluent builder for the BatchCreateTableRows operation.

• The fluent builder is configurable:
  • workbook_id(impl Into<String>) / set_workbook_id(Option<String>):
    required: true
    

    The ID of the workbook where the new rows are being added.

    If a workbook with the specified ID could not be found, this API throws ResourceNotFoundException.

    
    
  • table_id(impl Into<String>) / set_table_id(Option<String>):
    required: true
    

    The ID of the table where the new rows are being added.

    If a table with the specified ID could not be found, this API throws ResourceNotFoundException.

    
    
  • rows_to_create(CreateRowData) / set_rows_to_create(Option<Vec::<CreateRowData>>):
    required: true
    

    The list of rows to create at the end of the table. Each item in this list needs to have a batch item id to uniquely identify the element in the request and the cells to create for that row. You need to specify at least one item in this list.

    Note that if one of the column ids in any of the rows in the request does not exist in the table, then the request fails and no updates are made to the table.

    
    
  • client_request_token(impl Into<String>) / set_client_request_token(Option<String>):
    required: false
    

    The request token for performing the batch create operation. Request tokens help to identify duplicate requests. If a call times out or fails due to a transient error like a failed network connection, you can retry the call with the same request token. The service ensures that if the first call using that request token is successfully performed, the second call will not perform the operation again.

    Note that request tokens are valid only for a few minutes. You cannot use request tokens to dedupe requests spanning hours or days.

    
    
• On success, responds with BatchCreateTableRowsOutput with field(s):
  • workbook_cursor(i64):

    The updated workbook cursor after adding the new rows at the end of the table.

  • created_rows(HashMap::<String, String>):

    The map of batch item id to the row id that was created for that item.

  • failed_batch_items(Option<Vec::<FailedBatchItem>>):

    The list of batch items in the request that could not be added to the table. Each element in this list contains one item from the request that could not be added to the table along with the reason why that item could not be added.

• On failure, responds with SdkError<BatchCreateTableRowsError>

impl Client

pub fn batch_delete_table_rows(&self) -> BatchDeleteTableRowsFluentBuilder

Constructs a fluent builder for the BatchDeleteTableRows operation.

• The fluent builder is configurable:
  • workbook_id(impl Into<String>) / set_workbook_id(Option<String>):
    required: true
    

    The ID of the workbook where the rows are being deleted.

    If a workbook with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • table_id(impl Into<String>) / set_table_id(Option<String>):
    required: true
    

    The ID of the table where the rows are being deleted.

    If a table with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • row_ids(impl Into<String>) / set_row_ids(Option<Vec::<String>>):
    required: true
    

    The list of row ids to delete from the table. You need to specify at least one row id in this list.

    Note that if one of the row ids provided in the request does not exist in the table, then the request fails and no rows are deleted from the table.

    
    
  • client_request_token(impl Into<String>) / set_client_request_token(Option<String>):
    required: false
    

    The request token for performing the delete action. Request tokens help to identify duplicate requests. If a call times out or fails due to a transient error like a failed network connection, you can retry the call with the same request token. The service ensures that if the first call using that request token is successfully performed, the second call will not perform the action again.

    Note that request tokens are valid only for a few minutes. You cannot use request tokens to dedupe requests spanning hours or days.

    
    
• On success, responds with BatchDeleteTableRowsOutput with field(s):
  • workbook_cursor(i64):

    The updated workbook cursor after deleting the rows from the table.

  • failed_batch_items(Option<Vec::<FailedBatchItem>>):

    The list of row ids in the request that could not be deleted from the table. Each element in this list contains one row id from the request that could not be deleted along with the reason why that item could not be deleted.

• On failure, responds with SdkError<BatchDeleteTableRowsError>

impl Client

pub fn batch_update_table_rows(&self) -> BatchUpdateTableRowsFluentBuilder

Constructs a fluent builder for the BatchUpdateTableRows operation.

• The fluent builder is configurable:
  • workbook_id(impl Into<String>) / set_workbook_id(Option<String>):
    required: true
    

    The ID of the workbook where the rows are being updated.

    If a workbook with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • table_id(impl Into<String>) / set_table_id(Option<String>):
    required: true
    

    The ID of the table where the rows are being updated.

    If a table with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • rows_to_update(UpdateRowData) / set_rows_to_update(Option<Vec::<UpdateRowData>>):
    required: true
    

    The list of rows to update in the table. Each item in this list needs to contain the row id to update along with the map of column id to cell values for each column in that row that needs to be updated. You need to specify at least one row in this list, and for each row, you need to specify at least one column to update.

    Note that if one of the row or column ids in the request does not exist in the table, then the request fails and no updates are made to the table.

    
    
  • client_request_token(impl Into<String>) / set_client_request_token(Option<String>):
    required: false
    

    The request token for performing the update action. Request tokens help to identify duplicate requests. If a call times out or fails due to a transient error like a failed network connection, you can retry the call with the same request token. The service ensures that if the first call using that request token is successfully performed, the second call will not perform the action again.

    Note that request tokens are valid only for a few minutes. You cannot use request tokens to dedupe requests spanning hours or days.

    
    
• On success, responds with BatchUpdateTableRowsOutput with field(s):
  • workbook_cursor(i64):

    The updated workbook cursor after adding the new rows at the end of the table.

  • failed_batch_items(Option<Vec::<FailedBatchItem>>):

    The list of batch items in the request that could not be updated in the table. Each element in this list contains one item from the request that could not be updated in the table along with the reason why that item could not be updated.

• On failure, responds with SdkError<BatchUpdateTableRowsError>

impl Client

pub fn batch_upsert_table_rows(&self) -> BatchUpsertTableRowsFluentBuilder

Constructs a fluent builder for the BatchUpsertTableRows operation.

• The fluent builder is configurable:
  • workbook_id(impl Into<String>) / set_workbook_id(Option<String>):
    required: true
    

    The ID of the workbook where the rows are being upserted.

    If a workbook with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • table_id(impl Into<String>) / set_table_id(Option<String>):
    required: true
    

    The ID of the table where the rows are being upserted.

    If a table with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • rows_to_upsert(UpsertRowData) / set_rows_to_upsert(Option<Vec::<UpsertRowData>>):
    required: true
    

    The list of rows to upsert in the table. Each item in this list needs to have a batch item id to uniquely identify the element in the request, a filter expression to find the rows to update for that element and the cell values to set for each column in the upserted rows. You need to specify at least one item in this list.

    Note that if one of the filter formulas in the request fails to evaluate because of an error or one of the column ids in any of the rows does not exist in the table, then the request fails and no updates are made to the table.

    
    
  • client_request_token(impl Into<String>) / set_client_request_token(Option<String>):
    required: false
    

    The request token for performing the update action. Request tokens help to identify duplicate requests. If a call times out or fails due to a transient error like a failed network connection, you can retry the call with the same request token. The service ensures that if the first call using that request token is successfully performed, the second call will not perform the action again.

    Note that request tokens are valid only for a few minutes. You cannot use request tokens to dedupe requests spanning hours or days.

    
    
• On success, responds with BatchUpsertTableRowsOutput with field(s):
  • rows(HashMap::<String, UpsertRowsResult>):

    A map with the batch item id as the key and the result of the upsert operation as the value. The result of the upsert operation specifies whether existing rows were updated or a new row was appended, along with the list of row ids that were affected.

  • workbook_cursor(i64):

    The updated workbook cursor after updating or appending rows in the table.

  • failed_batch_items(Option<Vec::<FailedBatchItem>>):

    The list of batch items in the request that could not be updated or appended in the table. Each element in this list contains one item from the request that could not be updated in the table along with the reason why that item could not be updated or appended.

• On failure, responds with SdkError<BatchUpsertTableRowsError>

impl Client

pub fn describe_table_data_import_job( &self ) -> DescribeTableDataImportJobFluentBuilder

Constructs a fluent builder for the DescribeTableDataImportJob operation.

• The fluent builder is configurable:
  • workbook_id(impl Into<String>) / set_workbook_id(Option<String>):
    required: true
    

    The ID of the workbook into which data was imported.

    If a workbook with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • table_id(impl Into<String>) / set_table_id(Option<String>):
    required: true
    

    The ID of the table into which data was imported.

    If a table with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • job_id(impl Into<String>) / set_job_id(Option<String>):
    required: true
    

    The ID of the job that was returned by the StartTableDataImportJob request.

    If a job with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
• On success, responds with DescribeTableDataImportJobOutput with field(s):
  • job_status(TableDataImportJobStatus):

    The current status of the import job.

  • message(String):

    A message providing more details about the current status of the import job.

  • job_metadata(Option<TableDataImportJobMetadata>):

    The metadata about the job that was submitted for import.

  • error_code(Option<ErrorCode>):

    If job status is failed, error code to understand reason for the failure.

• On failure, responds with SdkError<DescribeTableDataImportJobError>

impl Client

pub fn get_screen_data(&self) -> GetScreenDataFluentBuilder

Constructs a fluent builder for the GetScreenData operation.

• The fluent builder is configurable:
  • workbook_id(impl Into<String>) / set_workbook_id(Option<String>):
    required: true
    

    The ID of the workbook that contains the screen.

    
    
  • app_id(impl Into<String>) / set_app_id(Option<String>):
    required: true
    

    The ID of the app that contains the screen.

    
    
  • screen_id(impl Into<String>) / set_screen_id(Option<String>):
    required: true
    

    The ID of the screen.

    
    
  • variables(impl Into<String>, VariableValue) / set_variables(Option<HashMap::<String, VariableValue>>):
    required: false
    

    Variables are optional and are needed only if the screen requires them to render correctly. Variables are specified as a map where the key is the name of the variable as defined on the screen. The value is an object which currently has only one property, rawValue, which holds the value of the variable to be passed to the screen.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The number of results to be returned on a single page. Specify a number between 1 and 100. The maximum value is 100.

    This parameter is optional. If you don’t specify this parameter, the default page size is 100.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    This parameter is optional. If a nextToken is not specified, the API returns the first page of data.

    Pagination tokens expire after 1 hour. If you use a token that was returned more than an hour back, the API will throw ValidationException.

    
    
• On success, responds with GetScreenDataOutput with field(s):
  • results(HashMap::<String, ResultSet>):

    A map of all the rows on the screen keyed by block name.

  • workbook_cursor(i64):

    Indicates the cursor of the workbook at which the data returned by this workbook is read. Workbook cursor keeps increasing with every update and the increments are not sequential.

  • next_token(Option<String>):

    Provides the pagination token to load the next page if there are more results matching the request. If a pagination token is not present in the response, it means that all data matching the query has been loaded.

• On failure, responds with SdkError<GetScreenDataError>

impl Client

pub fn invoke_screen_automation(&self) -> InvokeScreenAutomationFluentBuilder

Constructs a fluent builder for the InvokeScreenAutomation operation.

• The fluent builder is configurable:
  • workbook_id(impl Into<String>) / set_workbook_id(Option<String>):
    required: true
    

    The ID of the workbook that contains the screen automation.

    
    
  • app_id(impl Into<String>) / set_app_id(Option<String>):
    required: true
    

    The ID of the app that contains the screen automation.

    
    
  • screen_id(impl Into<String>) / set_screen_id(Option<String>):
    required: true
    

    The ID of the screen that contains the screen automation.

    
    
  • screen_automation_id(impl Into<String>) / set_screen_automation_id(Option<String>):
    required: true
    

    The ID of the automation action to be performed.

    
    
  • variables(impl Into<String>, VariableValue) / set_variables(Option<HashMap::<String, VariableValue>>):
    required: false
    

    Variables are specified as a map where the key is the name of the variable as defined on the screen. The value is an object which currently has only one property, rawValue, which holds the value of the variable to be passed to the screen. Any variables defined in a screen are required to be passed in the call.

    
    
  • row_id(impl Into<String>) / set_row_id(Option<String>):
    required: false
    

    The row ID for the automation if the automation is defined inside a block with source or list.

    
    
  • client_request_token(impl Into<String>) / set_client_request_token(Option<String>):
    required: false
    

    The request token for performing the automation action. Request tokens help to identify duplicate requests. If a call times out or fails due to a transient error like a failed network connection, you can retry the call with the same request token. The service ensures that if the first call using that request token is successfully performed, the second call will return the response of the previous call rather than performing the action again.

    Note that request tokens are valid only for a few minutes. You cannot use request tokens to dedupe requests spanning hours or days.

    
    
• On success, responds with InvokeScreenAutomationOutput with field(s):
  • workbook_cursor(i64):

    The updated workbook cursor after performing the automation action.

• On failure, responds with SdkError<InvokeScreenAutomationError>

impl Client

pub fn list_table_columns(&self) -> ListTableColumnsFluentBuilder

Constructs a fluent builder for the ListTableColumns operation. This operation supports pagination; See into_paginator().

• The fluent builder is configurable:
  • workbook_id(impl Into<String>) / set_workbook_id(Option<String>):
    required: true
    

    The ID of the workbook that contains the table whose columns are being retrieved.

    If a workbook with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • table_id(impl Into<String>) / set_table_id(Option<String>):
    required: true
    

    The ID of the table whose columns are being retrieved.

    If a table with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    This parameter is optional. If a nextToken is not specified, the API returns the first page of data.

    Pagination tokens expire after 1 hour. If you use a token that was returned more than an hour back, the API will throw ValidationException.

    
    
• On success, responds with ListTableColumnsOutput with field(s):
  • table_columns(Vec::<TableColumn>):

    The list of columns in the table.

  • next_token(Option<String>):

    Provides the pagination token to load the next page if there are more results matching the request. If a pagination token is not present in the response, it means that all data matching the request has been loaded.

  • workbook_cursor(i64):

    Indicates the cursor of the workbook at which the data returned by this request is read. Workbook cursor keeps increasing with every update and the increments are not sequential.

• On failure, responds with SdkError<ListTableColumnsError>

impl Client

pub fn list_table_rows(&self) -> ListTableRowsFluentBuilder

Constructs a fluent builder for the ListTableRows operation. This operation supports pagination; See into_paginator().

• The fluent builder is configurable:
  • workbook_id(impl Into<String>) / set_workbook_id(Option<String>):
    required: true
    

    The ID of the workbook that contains the table whose rows are being retrieved.

    If a workbook with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • table_id(impl Into<String>) / set_table_id(Option<String>):
    required: true
    

    The ID of the table whose rows are being retrieved.

    If a table with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • row_ids(impl Into<String>) / set_row_ids(Option<Vec::<String>>):
    required: false
    

    This parameter is optional. If one or more row ids are specified in this list, then only the specified row ids are returned in the result. If no row ids are specified here, then all the rows in the table are returned.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of rows to return in each page of the results.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    This parameter is optional. If a nextToken is not specified, the API returns the first page of data.

    Pagination tokens expire after 1 hour. If you use a token that was returned more than an hour back, the API will throw ValidationException.

    
    
• On success, responds with ListTableRowsOutput with field(s):
  • column_ids(Vec::<String>):

    The list of columns in the table whose row data is returned in the result.

  • rows(Vec::<TableRow>):

    The list of rows in the table. Note that this result is paginated, so this list contains a maximum of 100 rows.

  • row_ids_not_found(Option<Vec::<String>>):

    The list of row ids included in the request that were not found in the table.

  • next_token(Option<String>):

    Provides the pagination token to load the next page if there are more results matching the request. If a pagination token is not present in the response, it means that all data matching the request has been loaded.

  • workbook_cursor(i64):

    Indicates the cursor of the workbook at which the data returned by this request is read. Workbook cursor keeps increasing with every update and the increments are not sequential.

• On failure, responds with SdkError<ListTableRowsError>

impl Client

pub fn list_tables(&self) -> ListTablesFluentBuilder

Constructs a fluent builder for the ListTables operation. This operation supports pagination; See into_paginator().

• The fluent builder is configurable:
  • workbook_id(impl Into<String>) / set_workbook_id(Option<String>):
    required: true
    

    The ID of the workbook whose tables are being retrieved.

    If a workbook with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of tables to return in each page of the results.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    This parameter is optional. If a nextToken is not specified, the API returns the first page of data.

    Pagination tokens expire after 1 hour. If you use a token that was returned more than an hour back, the API will throw ValidationException.

    
    
• On success, responds with ListTablesOutput with field(s):
  • tables(Vec::<Table>):

    The list of tables in the workbook.

  • next_token(Option<String>):

    Provides the pagination token to load the next page if there are more results matching the request. If a pagination token is not present in the response, it means that all data matching the request has been loaded.

  • workbook_cursor(i64):

    Indicates the cursor of the workbook at which the data returned by this request is read. Workbook cursor keeps increasing with every update and the increments are not sequential.

• On failure, responds with SdkError<ListTablesError>

impl Client

pub fn list_tags_for_resource(&self) -> ListTagsForResourceFluentBuilder

Constructs a fluent builder for the ListTagsForResource operation.

• The fluent builder is configurable:
  • resource_arn(impl Into<String>) / set_resource_arn(Option<String>):
    required: true
    

    The resource’s Amazon Resource Name (ARN).

    
    
• On success, responds with ListTagsForResourceOutput with field(s):
  • tags(Option<HashMap::<String, String>>):

    The resource’s tags.

• On failure, responds with SdkError<ListTagsForResourceError>

impl Client

pub fn query_table_rows(&self) -> QueryTableRowsFluentBuilder

Constructs a fluent builder for the QueryTableRows operation. This operation supports pagination; See into_paginator().

• The fluent builder is configurable:
  • workbook_id(impl Into<String>) / set_workbook_id(Option<String>):
    required: true
    

    The ID of the workbook whose table rows are being queried.

    If a workbook with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • table_id(impl Into<String>) / set_table_id(Option<String>):
    required: true
    

    The ID of the table whose rows are being queried.

    If a table with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • filter_formula(Filter) / set_filter_formula(Option<Filter>):
    required: true
    

    An object that represents a filter formula along with the id of the context row under which the filter function needs to evaluate.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of rows to return in each page of the results.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    This parameter is optional. If a nextToken is not specified, the API returns the first page of data.

    Pagination tokens expire after 1 hour. If you use a token that was returned more than an hour back, the API will throw ValidationException.

    
    
• On success, responds with QueryTableRowsOutput with field(s):
  • column_ids(Vec::<String>):

    The list of columns in the table whose row data is returned in the result.

  • rows(Vec::<TableRow>):

    The list of rows in the table that match the query filter.

  • next_token(Option<String>):

    Provides the pagination token to load the next page if there are more results matching the request. If a pagination token is not present in the response, it means that all data matching the request has been loaded.

  • workbook_cursor(i64):

    Indicates the cursor of the workbook at which the data returned by this request is read. Workbook cursor keeps increasing with every update and the increments are not sequential.

• On failure, responds with SdkError<QueryTableRowsError>

impl Client

pub fn start_table_data_import_job( &self ) -> StartTableDataImportJobFluentBuilder

Constructs a fluent builder for the StartTableDataImportJob operation.

• The fluent builder is configurable:
  • workbook_id(impl Into<String>) / set_workbook_id(Option<String>):
    required: true
    

    The ID of the workbook where the rows are being imported.

    If a workbook with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • data_source(ImportDataSource) / set_data_source(Option<ImportDataSource>):
    required: true
    

    The source of the data that is being imported. The size of source must be no larger than 100 MB. Source must have no more than 100,000 cells and no more than 1,000 rows.

    
    
  • data_format(ImportSourceDataFormat) / set_data_format(Option<ImportSourceDataFormat>):
    required: true
    

    The format of the data that is being imported. Currently the only option supported is “DELIMITED_TEXT”.

    
    
  • destination_table_id(impl Into<String>) / set_destination_table_id(Option<String>):
    required: true
    

    The ID of the table where the rows are being imported.

    If a table with the specified id could not be found, this API throws ResourceNotFoundException.

    
    
  • import_options(ImportOptions) / set_import_options(Option<ImportOptions>):
    required: true
    

    The options for customizing this import request.

    
    
  • client_request_token(impl Into<String>) / set_client_request_token(Option<String>):
    required: true
    

    The request token for performing the update action. Request tokens help to identify duplicate requests. If a call times out or fails due to a transient error like a failed network connection, you can retry the call with the same request token. The service ensures that if the first call using that request token is successfully performed, the second call will not perform the action again.

    Note that request tokens are valid only for a few minutes. You cannot use request tokens to dedupe requests spanning hours or days.

    
    
• On success, responds with StartTableDataImportJobOutput with field(s):
  • job_id(String):

    The id that is assigned to this import job. Future requests to find out the status of this import job need to send this id in the appropriate parameter in the request.

  • job_status(TableDataImportJobStatus):

    The status of the import job immediately after submitting the request.

• On failure, responds with SdkError<StartTableDataImportJobError>

impl Client

pub fn tag_resource(&self) -> TagResourceFluentBuilder

Constructs a fluent builder for the TagResource operation.

• The fluent builder is configurable:
  • resource_arn(impl Into<String>) / set_resource_arn(Option<String>):
    required: true
    

    The resource’s Amazon Resource Name (ARN).

    
    
  • tags(impl Into<String>, impl Into<String>) / set_tags(Option<HashMap::<String, String>>):
    required: true
    

    A list of tags to apply to the resource.

    
    
• On success, responds with TagResourceOutput
• On failure, responds with SdkError<TagResourceError>

impl Client

pub fn untag_resource(&self) -> UntagResourceFluentBuilder

Constructs a fluent builder for the UntagResource operation.

• The fluent builder is configurable:
  • resource_arn(impl Into<String>) / set_resource_arn(Option<String>):
    required: true
    

    The resource’s Amazon Resource Name (ARN).

    
    
  • tag_keys(impl Into<String>) / set_tag_keys(Option<Vec::<String>>):
    required: true
    

    A list of tag keys to remove from the resource.

    
    
• On success, responds with UntagResourceOutput
• On failure, responds with SdkError<UntagResourceError>

impl Client

pub fn from_conf(conf: Config) -> Self

Creates a new client from the service Config.

Panics

This method will panic in the following cases:

• Retries or timeouts are enabled without a sleep_impl configured.
• Identity caching is enabled without a sleep_impl and time_source configured.
• No behavior_version is provided.

The panic message for each of these will have instructions on how to resolve them.

pub fn config(&self) -> &Config

Returns the client’s configuration.

impl Client

pub fn new(sdk_config: &SdkConfig) -> Self

Creates a new client from an SDK Config.

Panics

• This method will panic if the sdk_config is missing an async sleep implementation. If you experience this panic, set the sleep_impl on the Config passed into this function to fix it.
• This method will panic if the sdk_config is missing an HTTP connector. If you experience this panic, set the http_connector on the Config passed into this function to fix it.
• This method will panic if no BehaviorVersion is provided. If you experience this panic, set behavior_version on the Config or enable the behavior-version-latest Cargo feature.

Trait Implementations

impl Clone for Client

fn clone(&self) -> Client

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Client

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

Formats the value using the given formatter.