Struct aws_sdk_entityresolution::Client

pub struct Client { /* private fields */ }

Client for AWS EntityResolution

Client for invoking operations on AWS EntityResolution. Each operation on AWS EntityResolution 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_entityresolution::Client::new(&config);

Occasionally, SDKs may have additional service-specific 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_entityresolution::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 CreateMatchingWorkflow operation has a Client::create_matching_workflow, 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.create_matching_workflow()
    .workflow_name("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 create_matching_workflow(&self) -> CreateMatchingWorkflowFluentBuilder

Constructs a fluent builder for the CreateMatchingWorkflow operation.

• The fluent builder is configurable:
  • workflow_name(impl Into<String>) / set_workflow_name(Option<String>):

    The name of the workflow. There cannot be multiple DataIntegrationWorkflows with the same name.

  • description(impl Into<String>) / set_description(Option<String>):

    A description of the workflow.

  • input_source_config(InputSource) / set_input_source_config(Option<Vec<InputSource>>):

    A list of InputSource objects, which have the fields InputSourceARN and SchemaName.

  • output_source_config(OutputSource) / set_output_source_config(Option<Vec<OutputSource>>):

    A list of OutputSource objects, each of which contains fields OutputS3Path, ApplyNormalization, and Output.

  • resolution_techniques(ResolutionTechniques) / set_resolution_techniques(Option<ResolutionTechniques>):

    An object which defines the resolutionType and the ruleBasedProperties.

  • incremental_run_config(IncrementalRunConfig) / set_incremental_run_config(Option<IncrementalRunConfig>):

    An object which defines an incremental run type and has only incrementalRunType as a field.

  • role_arn(impl Into<String>) / set_role_arn(Option<String>):

    The Amazon Resource Name (ARN) of the IAM role. Entity Resolution assumes this role to create resources on your behalf as part of workflow execution.

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

    The tags used to organize, track, or control access for this resource.

• On success, responds with CreateMatchingWorkflowOutput with field(s):
  • workflow_name(Option<String>):

    The name of the workflow.

  • workflow_arn(Option<String>):

    The ARN (Amazon Resource Name) that Entity Resolution generated for the MatchingWorkflow.

  • description(Option<String>):

    A description of the workflow.

  • input_source_config(Option<Vec<InputSource>>):

    A list of InputSource objects, which have the fields InputSourceARN and SchemaName.

  • output_source_config(Option<Vec<OutputSource>>):

    A list of OutputSource objects, each of which contains fields OutputS3Path, ApplyNormalization, and Output.

  • resolution_techniques(Option<ResolutionTechniques>):

    An object which defines the resolutionType and the ruleBasedProperties.

  • incremental_run_config(Option<IncrementalRunConfig>):

    An object which defines an incremental run type and has only incrementalRunType as a field.

  • role_arn(Option<String>):

    The Amazon Resource Name (ARN) of the IAM role. Entity Resolution assumes this role to create resources on your behalf as part of workflow execution.

• On failure, responds with SdkError<CreateMatchingWorkflowError>

impl Client

pub fn create_schema_mapping(&self) -> CreateSchemaMappingFluentBuilder

Constructs a fluent builder for the CreateSchemaMapping operation.

• The fluent builder is configurable:
  • schema_name(impl Into<String>) / set_schema_name(Option<String>):

    The name of the schema. There cannot be multiple SchemaMappings with the same name.

  • description(impl Into<String>) / set_description(Option<String>):

    A description of the schema.

  • mapped_input_fields(SchemaInputAttribute) / set_mapped_input_fields(Option<Vec<SchemaInputAttribute>>):

    A list of MappedInputFields. Each MappedInputField corresponds to a column the source data table, and contains column name plus additional information that Entity Resolution uses for matching.

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

    The tags used to organize, track, or control access for this resource.

• On success, responds with CreateSchemaMappingOutput with field(s):
  • schema_name(Option<String>):

    The name of the schema.

  • schema_arn(Option<String>):

    The ARN (Amazon Resource Name) that Entity Resolution generated for the SchemaMapping.

  • description(Option<String>):

    A description of the schema.

  • mapped_input_fields(Option<Vec<SchemaInputAttribute>>):

    A list of MappedInputFields. Each MappedInputField corresponds to a column the source data table, and contains column name plus additional information that Entity Resolution uses for matching.

• On failure, responds with SdkError<CreateSchemaMappingError>

impl Client

pub fn delete_matching_workflow(&self) -> DeleteMatchingWorkflowFluentBuilder

Constructs a fluent builder for the DeleteMatchingWorkflow operation.

• The fluent builder is configurable:
  • workflow_name(impl Into<String>) / set_workflow_name(Option<String>):

    The name of the workflow to be retrieved.

• On success, responds with DeleteMatchingWorkflowOutput with field(s):
  • message(Option<String>):

    A successful operation message.

• On failure, responds with SdkError<DeleteMatchingWorkflowError>

impl Client

pub fn delete_schema_mapping(&self) -> DeleteSchemaMappingFluentBuilder

Constructs a fluent builder for the DeleteSchemaMapping operation.

• The fluent builder is configurable:
  • schema_name(impl Into<String>) / set_schema_name(Option<String>):

    The name of the schema to delete.

• On success, responds with DeleteSchemaMappingOutput with field(s):
  • message(Option<String>):

    A successful operation message.

• On failure, responds with SdkError<DeleteSchemaMappingError>

impl Client

pub fn get_match_id(&self) -> GetMatchIdFluentBuilder

Constructs a fluent builder for the GetMatchId operation.

• The fluent builder is configurable:
  • workflow_name(impl Into<String>) / set_workflow_name(Option<String>):

    The name of the workflow.

  • record(impl Into<String>, impl Into<String>) / set_record(Option<HashMap<String, String>>):

    The record to fetch the Match ID for.

• On success, responds with GetMatchIdOutput with field(s):
  • match_id(Option<String>):

    The unique identifiers for this group of match records.

• On failure, responds with SdkError<GetMatchIdError>

impl Client

pub fn get_matching_job(&self) -> GetMatchingJobFluentBuilder

Constructs a fluent builder for the GetMatchingJob operation.

• The fluent builder is configurable:
  • workflow_name(impl Into<String>) / set_workflow_name(Option<String>):

    The name of the workflow.

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

    The ID of the job.

• On success, responds with GetMatchingJobOutput with field(s):
  • job_id(Option<String>):

    The ID of the job.

  • status(Option<JobStatus>):

    The current status of the job.

  • start_time(Option<DateTime>):

    The time at which the job was started.

  • end_time(Option<DateTime>):

    The time at which the job has finished.

  • metrics(Option<JobMetrics>):

    Metrics associated with the execution, specifically total records processed, unique IDs generated, and records the execution skipped.

  • error_details(Option<ErrorDetails>):

    An object containing an error message, if there was an error.

• On failure, responds with SdkError<GetMatchingJobError>

impl Client

pub fn get_matching_workflow(&self) -> GetMatchingWorkflowFluentBuilder

Constructs a fluent builder for the GetMatchingWorkflow operation.

• The fluent builder is configurable:
  • workflow_name(impl Into<String>) / set_workflow_name(Option<String>):

    The name of the workflow.

• On success, responds with GetMatchingWorkflowOutput with field(s):
  • workflow_name(Option<String>):

    The name of the workflow.

  • workflow_arn(Option<String>):

    The ARN (Amazon Resource Name) that Entity Resolution generated for the MatchingWorkflow.

  • description(Option<String>):

    A description of the workflow.

  • input_source_config(Option<Vec<InputSource>>):

    A list of InputSource objects, which have the fields InputSourceARN and SchemaName.

  • output_source_config(Option<Vec<OutputSource>>):

    A list of OutputSource objects, each of which contains fields OutputS3Path, ApplyNormalization, and Output.

  • resolution_techniques(Option<ResolutionTechniques>):

    An object which defines the resolutionType and the ruleBasedProperties.

  • created_at(Option<DateTime>):

    The timestamp of when the workflow was created.

  • updated_at(Option<DateTime>):

    The timestamp of when the workflow was last updated.

  • incremental_run_config(Option<IncrementalRunConfig>):

    An object which defines an incremental run type and has only incrementalRunType as a field.

  • role_arn(Option<String>):

    The Amazon Resource Name (ARN) of the IAM role. Entity Resolution assumes this role to access resources on your behalf.

  • tags(Option<HashMap<String, String>>):

    The tags used to organize, track, or control access for this resource.

• On failure, responds with SdkError<GetMatchingWorkflowError>

impl Client

pub fn get_schema_mapping(&self) -> GetSchemaMappingFluentBuilder

Constructs a fluent builder for the GetSchemaMapping operation.

• The fluent builder is configurable:
  • schema_name(impl Into<String>) / set_schema_name(Option<String>):

    The name of the schema to be retrieved.

• On success, responds with GetSchemaMappingOutput with field(s):
  • schema_name(Option<String>):

    The name of the schema.

  • schema_arn(Option<String>):

    The ARN (Amazon Resource Name) that Entity Resolution generated for the SchemaMapping.

  • description(Option<String>):

    A description of the schema.

  • mapped_input_fields(Option<Vec<SchemaInputAttribute>>):

    A list of MappedInputFields. Each MappedInputField corresponds to a column the source data table, and contains column name plus additional information Venice uses for matching.

  • created_at(Option<DateTime>):

    The timestamp of when the SchemaMapping was created.

  • updated_at(Option<DateTime>):

    The timestamp of when the SchemaMapping was last updated.

  • tags(Option<HashMap<String, String>>):

    The tags used to organize, track, or control access for this resource.

• On failure, responds with SdkError<GetSchemaMappingError>

impl Client

pub fn list_matching_jobs(&self) -> ListMatchingJobsFluentBuilder

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

• The fluent builder is configurable:
  • workflow_name(impl Into<String>) / set_workflow_name(Option<String>):

    The name of the workflow to be retrieved.

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

    The pagination token from the previous ListSchemaMappings API call.

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

    The maximum number of objects returned per page.

• On success, responds with ListMatchingJobsOutput with field(s):
  • jobs(Option<Vec<JobSummary>>):

    A list of JobSummary objects, each of which contain the ID, status, start time, and end time of a job.

  • next_token(Option<String>):

    The pagination token from the previous ListSchemaMappings API call.

• On failure, responds with SdkError<ListMatchingJobsError>

impl Client

pub fn list_matching_workflows(&self) -> ListMatchingWorkflowsFluentBuilder

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

• The fluent builder is configurable:
  • next_token(impl Into<String>) / set_next_token(Option<String>):

    The pagination token from the previous ListSchemaMappings API call.

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

    The maximum number of objects returned per page.

• On success, responds with ListMatchingWorkflowsOutput with field(s):
  • workflow_summaries(Option<Vec<MatchingWorkflowSummary>>):

    A list of MatchingWorkflowSummary objects, each of which contain the fields WorkflowName, WorkflowArn, CreatedAt, and UpdatedAt.

  • next_token(Option<String>):

    The pagination token from the previous ListSchemaMappings API call.

• On failure, responds with SdkError<ListMatchingWorkflowsError>

impl Client

pub fn list_schema_mappings(&self) -> ListSchemaMappingsFluentBuilder

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

• The fluent builder is configurable:
  • next_token(impl Into<String>) / set_next_token(Option<String>):

    The pagination token from the previous ListSchemaMappings API call.

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

    The maximum number of objects returned per page.

• On success, responds with ListSchemaMappingsOutput with field(s):
  • schema_list(Option<Vec<SchemaMappingSummary>>):

    A list of SchemaMappingSummary objects, each of which contain the fields SchemaName, SchemaArn, CreatedAt, UpdatedAt.

  • next_token(Option<String>):

    The pagination token from the previous ListDomains API call.

• On failure, responds with SdkError<ListSchemaMappingsError>

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>):

    The ARN of the resource for which you want to view tags.

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

    The tags used to organize, track, or control access for this resource.

• On failure, responds with SdkError<ListTagsForResourceError>

impl Client

pub fn start_matching_job(&self) -> StartMatchingJobFluentBuilder

Constructs a fluent builder for the StartMatchingJob operation.

• The fluent builder is configurable:
  • workflow_name(impl Into<String>) / set_workflow_name(Option<String>):

    The name of the matching job to be retrieved.

• On success, responds with StartMatchingJobOutput with field(s):
  • job_id(Option<String>):

    The ID of the job.

• On failure, responds with SdkError<StartMatchingJobError>

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>):

    The ARN of the resource for which you want to view tags.

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

    The tags used to organize, track, or control access for this 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>):

    The ARN of the resource for which you want to untag.

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

    The list of tag keys to remove from the resource.

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

impl Client

pub fn update_matching_workflow(&self) -> UpdateMatchingWorkflowFluentBuilder

Constructs a fluent builder for the UpdateMatchingWorkflow operation.

• The fluent builder is configurable:
  • workflow_name(impl Into<String>) / set_workflow_name(Option<String>):

    The name of the workflow to be retrieved.

  • description(impl Into<String>) / set_description(Option<String>):

    A description of the workflow.

  • input_source_config(InputSource) / set_input_source_config(Option<Vec<InputSource>>):

    A list of InputSource objects, which have the fields InputSourceARN and SchemaName.

  • output_source_config(OutputSource) / set_output_source_config(Option<Vec<OutputSource>>):

    A list of OutputSource objects, each of which contains fields OutputS3Path, ApplyNormalization, and Output.

  • resolution_techniques(ResolutionTechniques) / set_resolution_techniques(Option<ResolutionTechniques>):

    An object which defines the resolutionType and the ruleBasedProperties.

  • incremental_run_config(IncrementalRunConfig) / set_incremental_run_config(Option<IncrementalRunConfig>):

    An object which defines an incremental run type and has only incrementalRunType as a field.

  • role_arn(impl Into<String>) / set_role_arn(Option<String>):

    The Amazon Resource Name (ARN) of the IAM role. Entity Resolution assumes this role to create resources on your behalf as part of workflow execution.

• On success, responds with UpdateMatchingWorkflowOutput with field(s):
  • workflow_name(Option<String>):

    The name of the workflow.

  • description(Option<String>):

    A description of the workflow.

  • input_source_config(Option<Vec<InputSource>>):

    A list of InputSource objects, which have the fields InputSourceARN and SchemaName.

  • output_source_config(Option<Vec<OutputSource>>):

    A list of OutputSource objects, each of which contains fields OutputS3Path, ApplyNormalization, and Output.

  • resolution_techniques(Option<ResolutionTechniques>):

    An object which defines the resolutionType and the ruleBasedProperties

  • incremental_run_config(Option<IncrementalRunConfig>):

    An object which defines an incremental run type and has only incrementalRunType as a field.

  • role_arn(Option<String>):

    The Amazon Resource Name (ARN) of the IAM role. Entity Resolution assumes this role to create resources on your behalf as part of workflow execution.

• On failure, responds with SdkError<UpdateMatchingWorkflowError>

impl Client

pub fn from_conf(conf: Config) -> Self

Creates a new client from the service Config.

Panics

This method will panic if the conf has retry or timeouts enabled without a sleep_impl. If you experience this panic, it can be fixed by setting the sleep_impl, or by disabling retries and timeouts.

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.

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.