Package 'paws.analytics'

Title: 'Amazon Web Services' Analytics Services
Description: Interface to 'Amazon Web Services' 'analytics' services, including 'Elastic MapReduce' 'Hadoop' and 'Spark' big data service, 'Elasticsearch' search engine, and more <https://aws.amazon.com/>.
Authors: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <[email protected]>
License: Apache License (>= 2.0)
Version: 0.7.0
Built: 2024-11-08 16:23:06 UTC
Source: https://github.com/paws-r/paws

Help Index


Amazon Athena

Description

Amazon Athena is an interactive query service that lets you use standard SQL to analyze data directly in Amazon S3. You can point Athena at your data in Amazon S3 and run ad-hoc queries and get results in seconds. Athena is serverless, so there is no infrastructure to set up or manage. You pay only for the queries you run. Athena scales automatically—executing queries in parallel—so results are fast, even with large datasets and complex queries. For more information, see What is Amazon Athena in the Amazon Athena User Guide.

If you connect to Athena using the JDBC driver, use version 1.1.0 of the driver or later with the Amazon Athena API. Earlier version drivers do not support the API. For more information and to download the driver, see Accessing Amazon Athena with JDBC.

Usage

athena(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- athena(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

batch_get_named_query Returns the details of a single named query or a list of up to 50 queries, which you provide as an array of query ID strings
batch_get_prepared_statement Returns the details of a single prepared statement or a list of up to 256 prepared statements for the array of prepared statement names that you provide
batch_get_query_execution Returns the details of a single query execution or a list of up to 50 query executions, which you provide as an array of query execution ID strings
cancel_capacity_reservation Cancels the capacity reservation with the specified name
create_capacity_reservation Creates a capacity reservation with the specified name and number of requested data processing units
create_data_catalog Creates (registers) a data catalog with the specified name and properties
create_named_query Creates a named query in the specified workgroup
create_notebook Creates an empty ipynb file in the specified Apache Spark enabled workgroup
create_prepared_statement Creates a prepared statement for use with SQL queries in Athena
create_presigned_notebook_url Gets an authentication token and the URL at which the notebook can be accessed
create_work_group Creates a workgroup with the specified name
delete_capacity_reservation Deletes a cancelled capacity reservation
delete_data_catalog Deletes a data catalog
delete_named_query Deletes the named query if you have access to the workgroup in which the query was saved
delete_notebook Deletes the specified notebook
delete_prepared_statement Deletes the prepared statement with the specified name from the specified workgroup
delete_work_group Deletes the workgroup with the specified name
export_notebook Exports the specified notebook and its metadata
get_calculation_execution Describes a previously submitted calculation execution
get_calculation_execution_code Retrieves the unencrypted code that was executed for the calculation
get_calculation_execution_status Gets the status of a current calculation
get_capacity_assignment_configuration Gets the capacity assignment configuration for a capacity reservation, if one exists
get_capacity_reservation Returns information about the capacity reservation with the specified name
get_database Returns a database object for the specified database and data catalog
get_data_catalog Returns the specified data catalog
get_named_query Returns information about a single query
get_notebook_metadata Retrieves notebook metadata for the specified notebook ID
get_prepared_statement Retrieves the prepared statement with the specified name from the specified workgroup
get_query_execution Returns information about a single execution of a query if you have access to the workgroup in which the query ran
get_query_results Streams the results of a single query execution specified by QueryExecutionId from the Athena query results location in Amazon S3
get_query_runtime_statistics Returns query execution runtime statistics related to a single execution of a query if you have access to the workgroup in which the query ran
get_session Gets the full details of a previously created session, including the session status and configuration
get_session_status Gets the current status of a session
get_table_metadata Returns table metadata for the specified catalog, database, and table
get_work_group Returns information about the workgroup with the specified name
import_notebook Imports a single ipynb file to a Spark enabled workgroup
list_application_dpu_sizes Returns the supported DPU sizes for the supported application runtimes (for example, Athena notebook version 1)
list_calculation_executions Lists the calculations that have been submitted to a session in descending order
list_capacity_reservations Lists the capacity reservations for the current account
list_databases Lists the databases in the specified data catalog
list_data_catalogs Lists the data catalogs in the current Amazon Web Services account
list_engine_versions Returns a list of engine versions that are available to choose from, including the Auto option
list_executors Lists, in descending order, the executors that joined a session
list_named_queries Provides a list of available query IDs only for queries saved in the specified workgroup
list_notebook_metadata Displays the notebook files for the specified workgroup in paginated format
list_notebook_sessions Lists, in descending order, the sessions that have been created in a notebook that are in an active state like CREATING, CREATED, IDLE or BUSY
list_prepared_statements Lists the prepared statements in the specified workgroup
list_query_executions Provides a list of available query execution IDs for the queries in the specified workgroup
list_sessions Lists the sessions in a workgroup that are in an active state like CREATING, CREATED, IDLE, or BUSY
list_table_metadata Lists the metadata for the tables in the specified data catalog database
list_tags_for_resource Lists the tags associated with an Athena resource
list_work_groups Lists available workgroups for the account
put_capacity_assignment_configuration Puts a new capacity assignment configuration for a specified capacity reservation
start_calculation_execution Submits calculations for execution within a session
start_query_execution Runs the SQL query statements contained in the Query
start_session Creates a session for running calculations within a workgroup
stop_calculation_execution Requests the cancellation of a calculation
stop_query_execution Stops a query execution
tag_resource Adds one or more tags to an Athena resource
terminate_session Terminates an active session
untag_resource Removes one or more tags from an Athena resource
update_capacity_reservation Updates the number of requested data processing units for the capacity reservation with the specified name
update_data_catalog Updates the data catalog that has the specified name
update_named_query Updates a NamedQuery object
update_notebook Updates the contents of a Spark notebook
update_notebook_metadata Updates the metadata for a notebook
update_prepared_statement Updates a prepared statement
update_work_group Updates the workgroup with the specified name

Examples

## Not run: 
svc <- athena()
svc$batch_get_named_query(
  Foo = 123
)

## End(Not run)

Amazon CloudSearch

Description

Amazon CloudSearch Configuration Service

You use the Amazon CloudSearch configuration service to create, configure, and manage search domains. Configuration service requests are submitted using the AWS Query protocol. AWS Query requests are HTTP or HTTPS requests submitted via HTTP GET or POST with a query parameter named Action.

The endpoint for configuration service requests is region-specific: cloudsearch.region.amazonaws.com. For example, cloudsearch.us-east-1.amazonaws.com. For a current list of supported regions and endpoints, see Regions and Endpoints.

Usage

cloudsearch(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- cloudsearch(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

build_suggesters Indexes the search suggestions
create_domain Creates a new search domain
define_analysis_scheme Configures an analysis scheme that can be applied to a text or text-array field to define language-specific text processing options
define_expression Configures an Expression for the search domain
define_index_field Configures an IndexField for the search domain
define_suggester Configures a suggester for a domain
delete_analysis_scheme Deletes an analysis scheme
delete_domain Permanently deletes a search domain and all of its data
delete_expression Removes an Expression from the search domain
delete_index_field Removes an IndexField from the search domain
delete_suggester Deletes a suggester
describe_analysis_schemes Gets the analysis schemes configured for a domain
describe_availability_options Gets the availability options configured for a domain
describe_domain_endpoint_options Returns the domain's endpoint options, specifically whether all requests to the domain must arrive over HTTPS
describe_domains Gets information about the search domains owned by this account
describe_expressions Gets the expressions configured for the search domain
describe_index_fields Gets information about the index fields configured for the search domain
describe_scaling_parameters Gets the scaling parameters configured for a domain
describe_service_access_policies Gets information about the access policies that control access to the domain's document and search endpoints
describe_suggesters Gets the suggesters configured for a domain
index_documents Tells the search domain to start indexing its documents using the latest indexing options
list_domain_names Lists all search domains owned by an account
update_availability_options Configures the availability options for a domain
update_domain_endpoint_options Updates the domain's endpoint options, specifically whether all requests to the domain must arrive over HTTPS
update_scaling_parameters Configures scaling parameters for a domain
update_service_access_policies Configures the access rules that control access to the domain's document and search endpoints

Examples

## Not run: 
svc <- cloudsearch()
svc$build_suggesters(
  Foo = 123
)

## End(Not run)

Amazon CloudSearch Domain

Description

You use the AmazonCloudSearch2013 API to upload documents to a search domain and search those documents.

The endpoints for submitting upload_documents, search, and suggest requests are domain-specific. To get the endpoints for your domain, use the Amazon CloudSearch configuration service DescribeDomains action. The domain endpoints are also displayed on the domain dashboard in the Amazon CloudSearch console. You submit suggest requests to the search endpoint.

For more information, see the Amazon CloudSearch Developer Guide.

Usage

cloudsearchdomain(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- cloudsearchdomain(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

search Retrieves a list of documents that match the specified search criteria
suggest Retrieves autocomplete suggestions for a partial query string
upload_documents Posts a batch of documents to a search domain for indexing

Examples

## Not run: 
svc <- cloudsearchdomain()
svc$search(
  Foo = 123
)

## End(Not run)

AWS Data Pipeline

Description

AWS Data Pipeline configures and manages a data-driven workflow called a pipeline. AWS Data Pipeline handles the details of scheduling and ensuring that data dependencies are met so that your application can focus on processing the data.

AWS Data Pipeline provides a JAR implementation of a task runner called AWS Data Pipeline Task Runner. AWS Data Pipeline Task Runner provides logic for common data management scenarios, such as performing database queries and running data analysis using Amazon Elastic MapReduce (Amazon EMR). You can use AWS Data Pipeline Task Runner as your task runner, or you can write your own task runner to provide custom data management.

AWS Data Pipeline implements two main sets of functionality. Use the first set to create a pipeline and define data sources, schedules, dependencies, and the transforms to be performed on the data. Use the second set in your task runner application to receive the next task ready for processing. The logic for performing the task, such as querying the data, running data analysis, or converting the data from one format to another, is contained within the task runner. The task runner performs the task assigned to it by the web service, reporting progress to the web service as it does so. When the task is done, the task runner reports the final success or failure of the task to the web service.

Usage

datapipeline(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- datapipeline(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

activate_pipeline Validates the specified pipeline and starts processing pipeline tasks
add_tags Adds or modifies tags for the specified pipeline
create_pipeline Creates a new, empty pipeline
deactivate_pipeline Deactivates the specified running pipeline
delete_pipeline Deletes a pipeline, its pipeline definition, and its run history
describe_objects Gets the object definitions for a set of objects associated with the pipeline
describe_pipelines Retrieves metadata about one or more pipelines
evaluate_expression Task runners call EvaluateExpression to evaluate a string in the context of the specified object
get_pipeline_definition Gets the definition of the specified pipeline
list_pipelines Lists the pipeline identifiers for all active pipelines that you have permission to access
poll_for_task Task runners call PollForTask to receive a task to perform from AWS Data Pipeline
put_pipeline_definition Adds tasks, schedules, and preconditions to the specified pipeline
query_objects Queries the specified pipeline for the names of objects that match the specified set of conditions
remove_tags Removes existing tags from the specified pipeline
report_task_progress Task runners call ReportTaskProgress when assigned a task to acknowledge that it has the task
report_task_runner_heartbeat Task runners call ReportTaskRunnerHeartbeat every 15 minutes to indicate that they are operational
set_status Requests that the status of the specified physical or logical pipeline objects be updated in the specified pipeline
set_task_status Task runners call SetTaskStatus to notify AWS Data Pipeline that a task is completed and provide information about the final status
validate_pipeline_definition Validates the specified pipeline definition to ensure that it is well formed and can be run without error

Examples

## Not run: 
svc <- datapipeline()
svc$activate_pipeline(
  Foo = 123
)

## End(Not run)

Amazon DataZone

Description

Amazon DataZone is a data management service that enables you to catalog, discover, govern, share, and analyze your data. With Amazon DataZone, you can share and access your data across accounts and supported regions. Amazon DataZone simplifies your experience across Amazon Web Services services, including, but not limited to, Amazon Redshift, Amazon Athena, Amazon Web Services Glue, and Amazon Web Services Lake Formation.

Usage

datazone(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- datazone(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

accept_predictions Accepts automatically generated business-friendly metadata for your Amazon DataZone assets
accept_subscription_request Accepts a subscription request to a specific asset
add_entity_owner Adds the owner of an entity (a domain unit)
add_policy_grant Adds a policy grant (an authorization policy) to a specified entity, including domain units, environment blueprint configurations, or environment profiles
associate_environment_role Associates the environment role in Amazon DataZone
cancel_metadata_generation_run Cancels the metadata generation run
cancel_subscription Cancels the subscription to the specified asset
create_asset Creates an asset in Amazon DataZone catalog
create_asset_filter Creates a data asset filter
create_asset_revision Creates a revision of the asset
create_asset_type Creates a custom asset type
create_data_product Creates a data product
create_data_product_revision Creates a data product revision
create_data_source Creates an Amazon DataZone data source
create_domain Creates an Amazon DataZone domain
create_domain_unit Creates a domain unit in Amazon DataZone
create_environment Create an Amazon DataZone environment
create_environment_action Creates an action for the environment, for example, creates a console link for an analytics tool that is available in this environment
create_environment_profile Creates an Amazon DataZone environment profile
create_form_type Creates a metadata form type
create_glossary Creates an Amazon DataZone business glossary
create_glossary_term Creates a business glossary term
create_group_profile Creates a group profile in Amazon DataZone
create_listing_change_set Publishes a listing (a record of an asset at a given time) or removes a listing from the catalog
create_project Creates an Amazon DataZone project
create_project_membership Creates a project membership in Amazon DataZone
create_subscription_grant Creates a subsscription grant in Amazon DataZone
create_subscription_request Creates a subscription request in Amazon DataZone
create_subscription_target Creates a subscription target in Amazon DataZone
create_user_profile Creates a user profile in Amazon DataZone
delete_asset Deletes an asset in Amazon DataZone
delete_asset_filter Deletes an asset filter
delete_asset_type Deletes an asset type in Amazon DataZone
delete_data_product Deletes a data product in Amazon DataZone
delete_data_source Deletes a data source in Amazon DataZone
delete_domain Deletes a Amazon DataZone domain
delete_domain_unit Deletes a domain unit
delete_environment Deletes an environment in Amazon DataZone
delete_environment_action Deletes an action for the environment, for example, deletes a console link for an analytics tool that is available in this environment
delete_environment_blueprint_configuration Deletes the blueprint configuration in Amazon DataZone
delete_environment_profile Deletes an environment profile in Amazon DataZone
delete_form_type Delets and metadata form type in Amazon DataZone
delete_glossary Deletes a business glossary in Amazon DataZone
delete_glossary_term Deletes a business glossary term in Amazon DataZone
delete_listing Deletes a listing (a record of an asset at a given time)
delete_project Deletes a project in Amazon DataZone
delete_project_membership Deletes project membership in Amazon DataZone
delete_subscription_grant Deletes and subscription grant in Amazon DataZone
delete_subscription_request Deletes a subscription request in Amazon DataZone
delete_subscription_target Deletes a subscription target in Amazon DataZone
delete_time_series_data_points Deletes the specified time series form for the specified asset
disassociate_environment_role Disassociates the environment role in Amazon DataZone
get_asset Gets an Amazon DataZone asset
get_asset_filter Gets an asset filter
get_asset_type Gets an Amazon DataZone asset type
get_data_product Gets the data product
get_data_source Gets an Amazon DataZone data source
get_data_source_run Gets an Amazon DataZone data source run
get_domain Gets an Amazon DataZone domain
get_domain_unit Gets the details of the specified domain unit
get_environment Gets an Amazon DataZone environment
get_environment_action Gets the specified environment action
get_environment_blueprint Gets an Amazon DataZone blueprint
get_environment_blueprint_configuration Gets the blueprint configuration in Amazon DataZone
get_environment_credentials Gets the credentials of an environment in Amazon DataZone
get_environment_profile Gets an evinronment profile in Amazon DataZone
get_form_type Gets a metadata form type in Amazon DataZone
get_glossary Gets a business glossary in Amazon DataZone
get_glossary_term Gets a business glossary term in Amazon DataZone
get_group_profile Gets a group profile in Amazon DataZone
get_iam_portal_login_url Gets the data portal URL for the specified Amazon DataZone domain
get_lineage_node Gets the data lineage node
get_listing Gets a listing (a record of an asset at a given time)
get_metadata_generation_run Gets a metadata generation run in Amazon DataZone
get_project Gets a project in Amazon DataZone
get_subscription Gets a subscription in Amazon DataZone
get_subscription_grant Gets the subscription grant in Amazon DataZone
get_subscription_request_details Gets the details of the specified subscription request
get_subscription_target Gets the subscription target in Amazon DataZone
get_time_series_data_point Gets the existing data point for the asset
get_user_profile Gets a user profile in Amazon DataZone
list_asset_filters Lists asset filters
list_asset_revisions Lists the revisions for the asset
list_data_product_revisions Lists data product revisions
list_data_source_run_activities Lists data source run activities
list_data_source_runs Lists data source runs in Amazon DataZone
list_data_sources Lists data sources in Amazon DataZone
list_domains Lists Amazon DataZone domains
list_domain_units_for_parent Lists child domain units for the specified parent domain unit
list_entity_owners Lists the entity (domain units) owners
list_environment_actions Lists existing environment actions
list_environment_blueprint_configurations Lists blueprint configurations for a Amazon DataZone environment
list_environment_blueprints Lists blueprints in an Amazon DataZone environment
list_environment_profiles Lists Amazon DataZone environment profiles
list_environments Lists Amazon DataZone environments
list_lineage_node_history Lists the history of the specified data lineage node
list_metadata_generation_runs Lists all metadata generation runs
list_notifications Lists all Amazon DataZone notifications
list_policy_grants Lists policy grants
list_project_memberships Lists all members of the specified project
list_projects Lists Amazon DataZone projects
list_subscription_grants Lists subscription grants
list_subscription_requests Lists Amazon DataZone subscription requests
list_subscriptions Lists subscriptions in Amazon DataZone
list_subscription_targets Lists subscription targets in Amazon DataZone
list_tags_for_resource Lists tags for the specified resource in Amazon DataZone
list_time_series_data_points Lists time series data points
post_lineage_event Posts a data lineage event
post_time_series_data_points Posts time series data points to Amazon DataZone for the specified asset
put_environment_blueprint_configuration Writes the configuration for the specified environment blueprint in Amazon DataZone
reject_predictions Rejects automatically generated business-friendly metadata for your Amazon DataZone assets
reject_subscription_request Rejects the specified subscription request
remove_entity_owner Removes an owner from an entity
remove_policy_grant Removes a policy grant
revoke_subscription Revokes a specified subscription in Amazon DataZone
search Searches for assets in Amazon DataZone
search_group_profiles Searches group profiles in Amazon DataZone
search_listings Searches listings (records of an asset at a given time) in Amazon DataZone
search_types Searches for types in Amazon DataZone
search_user_profiles Searches user profiles in Amazon DataZone
start_data_source_run Start the run of the specified data source in Amazon DataZone
start_metadata_generation_run Starts the metadata generation run
tag_resource Tags a resource in Amazon DataZone
untag_resource Untags a resource in Amazon DataZone
update_asset_filter Updates an asset filter
update_data_source Updates the specified data source in Amazon DataZone
update_domain Updates a Amazon DataZone domain
update_domain_unit Updates the domain unit
update_environment Updates the specified environment in Amazon DataZone
update_environment_action Updates an environment action
update_environment_profile Updates the specified environment profile in Amazon DataZone
update_glossary Updates the business glossary in Amazon DataZone
update_glossary_term Updates a business glossary term in Amazon DataZone
update_group_profile Updates the specified group profile in Amazon DataZone
update_project Updates the specified project in Amazon DataZone
update_subscription_grant_status Updates the status of the specified subscription grant status in Amazon DataZone
update_subscription_request Updates a specified subscription request in Amazon DataZone
update_subscription_target Updates the specified subscription target in Amazon DataZone
update_user_profile Updates the specified user profile in Amazon DataZone

Examples

## Not run: 
svc <- datazone()
svc$accept_predictions(
  Foo = 123
)

## End(Not run)

Amazon Elasticsearch Service

Description

Amazon Elasticsearch Configuration Service

Use the Amazon Elasticsearch Configuration API to create, configure, and manage Elasticsearch domains.

For sample code that uses the Configuration API, see the Amazon Elasticsearch Service Developer Guide. The guide also contains sample code for sending signed HTTP requests to the Elasticsearch APIs.

The endpoint for configuration service requests is region-specific: es.region.amazonaws.com. For example, es.us-east-1.amazonaws.com. For a current list of supported regions and endpoints, see Regions and Endpoints.

Usage

elasticsearchservice(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- elasticsearchservice(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

accept_inbound_cross_cluster_search_connection Allows the destination domain owner to accept an inbound cross-cluster search connection request
add_tags Attaches tags to an existing Elasticsearch domain
associate_package Associates a package with an Amazon ES domain
authorize_vpc_endpoint_access Provides access to an Amazon OpenSearch Service domain through the use of an interface VPC endpoint
cancel_domain_config_change Cancels a pending configuration change on an Amazon OpenSearch Service domain
cancel_elasticsearch_service_software_update Cancels a scheduled service software update for an Amazon ES domain
create_elasticsearch_domain Creates a new Elasticsearch domain
create_outbound_cross_cluster_search_connection Creates a new cross-cluster search connection from a source domain to a destination domain
create_package Create a package for use with Amazon ES domains
create_vpc_endpoint Creates an Amazon OpenSearch Service-managed VPC endpoint
delete_elasticsearch_domain Permanently deletes the specified Elasticsearch domain and all of its data
delete_elasticsearch_service_role Deletes the service-linked role that Elasticsearch Service uses to manage and maintain VPC domains
delete_inbound_cross_cluster_search_connection Allows the destination domain owner to delete an existing inbound cross-cluster search connection
delete_outbound_cross_cluster_search_connection Allows the source domain owner to delete an existing outbound cross-cluster search connection
delete_package Delete the package
delete_vpc_endpoint Deletes an Amazon OpenSearch Service-managed interface VPC endpoint
describe_domain_auto_tunes Provides scheduled Auto-Tune action details for the Elasticsearch domain, such as Auto-Tune action type, description, severity, and scheduled date
describe_domain_change_progress Returns information about the current blue/green deployment happening on a domain, including a change ID, status, and progress stages
describe_elasticsearch_domain Returns domain configuration information about the specified Elasticsearch domain, including the domain ID, domain endpoint, and domain ARN
describe_elasticsearch_domain_config Provides cluster configuration information about the specified Elasticsearch domain, such as the state, creation date, update version, and update date for cluster options
describe_elasticsearch_domains Returns domain configuration information about the specified Elasticsearch domains, including the domain ID, domain endpoint, and domain ARN
describe_elasticsearch_instance_type_limits Describe Elasticsearch Limits for a given InstanceType and ElasticsearchVersion
describe_inbound_cross_cluster_search_connections Lists all the inbound cross-cluster search connections for a destination domain
describe_outbound_cross_cluster_search_connections Lists all the outbound cross-cluster search connections for a source domain
describe_packages Describes all packages available to Amazon ES
describe_reserved_elasticsearch_instance_offerings Lists available reserved Elasticsearch instance offerings
describe_reserved_elasticsearch_instances Returns information about reserved Elasticsearch instances for this account
describe_vpc_endpoints Describes one or more Amazon OpenSearch Service-managed VPC endpoints
dissociate_package Dissociates a package from the Amazon ES domain
get_compatible_elasticsearch_versions Returns a list of upgrade compatible Elastisearch versions
get_package_version_history Returns a list of versions of the package, along with their creation time and commit message
get_upgrade_history Retrieves the complete history of the last 10 upgrades that were performed on the domain
get_upgrade_status Retrieves the latest status of the last upgrade or upgrade eligibility check that was performed on the domain
list_domain_names Returns the name of all Elasticsearch domains owned by the current user's account
list_domains_for_package Lists all Amazon ES domains associated with the package
list_elasticsearch_instance_types List all Elasticsearch instance types that are supported for given ElasticsearchVersion
list_elasticsearch_versions List all supported Elasticsearch versions
list_packages_for_domain Lists all packages associated with the Amazon ES domain
list_tags Returns all tags for the given Elasticsearch domain
list_vpc_endpoint_access Retrieves information about each principal that is allowed to access a given Amazon OpenSearch Service domain through the use of an interface VPC endpoint
list_vpc_endpoints Retrieves all Amazon OpenSearch Service-managed VPC endpoints in the current account and Region
list_vpc_endpoints_for_domain Retrieves all Amazon OpenSearch Service-managed VPC endpoints associated with a particular domain
purchase_reserved_elasticsearch_instance_offering Allows you to purchase reserved Elasticsearch instances
reject_inbound_cross_cluster_search_connection Allows the destination domain owner to reject an inbound cross-cluster search connection request
remove_tags Removes the specified set of tags from the specified Elasticsearch domain
revoke_vpc_endpoint_access Revokes access to an Amazon OpenSearch Service domain that was provided through an interface VPC endpoint
start_elasticsearch_service_software_update Schedules a service software update for an Amazon ES domain
update_elasticsearch_domain_config Modifies the cluster configuration of the specified Elasticsearch domain, setting as setting the instance type and the number of instances
update_package Updates a package for use with Amazon ES domains
update_vpc_endpoint Modifies an Amazon OpenSearch Service-managed interface VPC endpoint
upgrade_elasticsearch_domain Allows you to either upgrade your domain or perform an Upgrade eligibility check to a compatible Elasticsearch version

Examples

## Not run: 
svc <- elasticsearchservice()
svc$accept_inbound_cross_cluster_search_connection(
  Foo = 123
)

## End(Not run)

Amazon EMR

Description

Amazon EMR is a web service that makes it easier to process large amounts of data efficiently. Amazon EMR uses Hadoop processing combined with several Amazon Web Services services to do tasks such as web indexing, data mining, log file analysis, machine learning, scientific simulation, and data warehouse management.

Usage

emr(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- emr(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

add_instance_fleet Adds an instance fleet to a running cluster
add_instance_groups Adds one or more instance groups to a running cluster
add_job_flow_steps AddJobFlowSteps adds new steps to a running cluster
add_tags Adds tags to an Amazon EMR resource, such as a cluster or an Amazon EMR Studio
cancel_steps Cancels a pending step or steps in a running cluster
create_security_configuration Creates a security configuration, which is stored in the service and can be specified when a cluster is created
create_studio Creates a new Amazon EMR Studio
create_studio_session_mapping Maps a user or group to the Amazon EMR Studio specified by StudioId, and applies a session policy to refine Studio permissions for that user or group
delete_security_configuration Deletes a security configuration
delete_studio Removes an Amazon EMR Studio from the Studio metadata store
delete_studio_session_mapping Removes a user or group from an Amazon EMR Studio
describe_cluster Provides cluster-level details including status, hardware and software configuration, VPC settings, and so on
describe_job_flows This API is no longer supported and will eventually be removed
describe_notebook_execution Provides details of a notebook execution
describe_release_label Provides Amazon EMR release label details, such as the releases available the Region where the API request is run, and the available applications for a specific Amazon EMR release label
describe_security_configuration Provides the details of a security configuration by returning the configuration JSON
describe_step Provides more detail about the cluster step
describe_studio Returns details for the specified Amazon EMR Studio including ID, Name, VPC, Studio access URL, and so on
get_auto_termination_policy Returns the auto-termination policy for an Amazon EMR cluster
get_block_public_access_configuration Returns the Amazon EMR block public access configuration for your Amazon Web Services account in the current Region
get_cluster_session_credentials Provides temporary, HTTP basic credentials that are associated with a given runtime IAM role and used by a cluster with fine-grained access control activated
get_managed_scaling_policy Fetches the attached managed scaling policy for an Amazon EMR cluster
get_studio_session_mapping Fetches mapping details for the specified Amazon EMR Studio and identity (user or group)
list_bootstrap_actions Provides information about the bootstrap actions associated with a cluster
list_clusters Provides the status of all clusters visible to this Amazon Web Services account
list_instance_fleets Lists all available details about the instance fleets in a cluster
list_instance_groups Provides all available details about the instance groups in a cluster
list_instances Provides information for all active Amazon EC2 instances and Amazon EC2 instances terminated in the last 30 days, up to a maximum of 2,000
list_notebook_executions Provides summaries of all notebook executions
list_release_labels Retrieves release labels of Amazon EMR services in the Region where the API is called
list_security_configurations Lists all the security configurations visible to this account, providing their creation dates and times, and their names
list_steps Provides a list of steps for the cluster in reverse order unless you specify stepIds with the request or filter by StepStates
list_studios Returns a list of all Amazon EMR Studios associated with the Amazon Web Services account
list_studio_session_mappings Returns a list of all user or group session mappings for the Amazon EMR Studio specified by StudioId
list_supported_instance_types A list of the instance types that Amazon EMR supports
modify_cluster Modifies the number of steps that can be executed concurrently for the cluster specified using ClusterID
modify_instance_fleet Modifies the target On-Demand and target Spot capacities for the instance fleet with the specified InstanceFleetID within the cluster specified using ClusterID
modify_instance_groups ModifyInstanceGroups modifies the number of nodes and configuration settings of an instance group
put_auto_scaling_policy Creates or updates an automatic scaling policy for a core instance group or task instance group in an Amazon EMR cluster
put_auto_termination_policy Auto-termination is supported in Amazon EMR releases 5
put_block_public_access_configuration Creates or updates an Amazon EMR block public access configuration for your Amazon Web Services account in the current Region
put_managed_scaling_policy Creates or updates a managed scaling policy for an Amazon EMR cluster
remove_auto_scaling_policy Removes an automatic scaling policy from a specified instance group within an Amazon EMR cluster
remove_auto_termination_policy Removes an auto-termination policy from an Amazon EMR cluster
remove_managed_scaling_policy Removes a managed scaling policy from a specified Amazon EMR cluster
remove_tags Removes tags from an Amazon EMR resource, such as a cluster or Amazon EMR Studio
run_job_flow RunJobFlow creates and starts running a new cluster (job flow)
set_keep_job_flow_alive_when_no_steps You can use the SetKeepJobFlowAliveWhenNoSteps to configure a cluster (job flow) to terminate after the step execution, i
set_termination_protection SetTerminationProtection locks a cluster (job flow) so the Amazon EC2 instances in the cluster cannot be terminated by user intervention, an API call, or in the event of a job-flow error
set_unhealthy_node_replacement Specify whether to enable unhealthy node replacement, which lets Amazon EMR gracefully replace core nodes on a cluster if any nodes become unhealthy
set_visible_to_all_users The SetVisibleToAllUsers parameter is no longer supported
start_notebook_execution Starts a notebook execution
stop_notebook_execution Stops a notebook execution
terminate_job_flows TerminateJobFlows shuts a list of clusters (job flows) down
update_studio Updates an Amazon EMR Studio configuration, including attributes such as name, description, and subnets
update_studio_session_mapping Updates the session policy attached to the user or group for the specified Amazon EMR Studio

Examples

## Not run: 
svc <- emr()
svc$add_instance_fleet(
  Foo = 123
)

## End(Not run)

AWS EntityResolution

Description

Welcome to the Entity Resolution API Reference.

Entity Resolution is an Amazon Web Services service that provides pre-configured entity resolution capabilities that enable developers and analysts at advertising and marketing companies to build an accurate and complete view of their consumers.

With Entity Resolution, you can match source records containing consumer identifiers, such as name, email address, and phone number. This is true even when these records have incomplete or conflicting identifiers. For example, Entity Resolution can effectively match a source record from a customer relationship management (CRM) system with a source record from a marketing system containing campaign information.

To learn more about Entity Resolution concepts, procedures, and best practices, see the Entity Resolution User Guide.

Usage

entityresolution(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- entityresolution(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

add_policy_statement Adds a policy statement object
batch_delete_unique_id Deletes multiple unique IDs in a matching workflow
create_id_mapping_workflow Creates an IdMappingWorkflow object which stores the configuration of the data processing job to be run
create_id_namespace Creates an ID namespace object which will help customers provide metadata explaining their dataset and how to use it
create_matching_workflow Creates a MatchingWorkflow object which stores the configuration of the data processing job to be run
create_schema_mapping Creates a schema mapping, which defines the schema of the input customer records table
delete_id_mapping_workflow Deletes the IdMappingWorkflow with a given name
delete_id_namespace Deletes the IdNamespace with a given name
delete_matching_workflow Deletes the MatchingWorkflow with a given name
delete_policy_statement Deletes the policy statement
delete_schema_mapping Deletes the SchemaMapping with a given name
get_id_mapping_job Gets the status, metrics, and errors (if there are any) that are associated with a job
get_id_mapping_workflow Returns the IdMappingWorkflow with a given name, if it exists
get_id_namespace Returns the IdNamespace with a given name, if it exists
get_match_id Returns the corresponding Match ID of a customer record if the record has been processed
get_matching_job Gets the status, metrics, and errors (if there are any) that are associated with a job
get_matching_workflow Returns the MatchingWorkflow with a given name, if it exists
get_policy Returns the resource-based policy
get_provider_service Returns the ProviderService of a given name
get_schema_mapping Returns the SchemaMapping of a given name
list_id_mapping_jobs Lists all ID mapping jobs for a given workflow
list_id_mapping_workflows Returns a list of all the IdMappingWorkflows that have been created for an Amazon Web Services account
list_id_namespaces Returns a list of all ID namespaces
list_matching_jobs Lists all jobs for a given workflow
list_matching_workflows Returns a list of all the MatchingWorkflows that have been created for an Amazon Web Services account
list_provider_services Returns a list of all the ProviderServices that are available in this Amazon Web Services Region
list_schema_mappings Returns a list of all the SchemaMappings that have been created for an Amazon Web Services account
list_tags_for_resource Displays the tags associated with an Entity Resolution resource
put_policy Updates the resource-based policy
start_id_mapping_job Starts the IdMappingJob of a workflow
start_matching_job Starts the MatchingJob of a workflow
tag_resource Assigns one or more tags (key-value pairs) to the specified Entity Resolution resource
untag_resource Removes one or more tags from the specified Entity Resolution resource
update_id_mapping_workflow Updates an existing IdMappingWorkflow
update_id_namespace Updates an existing ID namespace
update_matching_workflow Updates an existing MatchingWorkflow
update_schema_mapping Updates a schema mapping

Examples

## Not run: 
svc <- entityresolution()
svc$add_policy_statement(
  Foo = 123
)

## End(Not run)

Amazon Kinesis Firehose

Description

Amazon Data Firehose

Amazon Data Firehose was previously known as Amazon Kinesis Data Firehose.

Amazon Data Firehose is a fully managed service that delivers real-time streaming data to destinations such as Amazon Simple Storage Service (Amazon S3), Amazon OpenSearch Service, Amazon Redshift, Splunk, and various other supported destinations.

Usage

firehose(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- firehose(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

create_delivery_stream Creates a Firehose delivery stream
delete_delivery_stream Deletes a delivery stream and its data
describe_delivery_stream Describes the specified delivery stream and its status
list_delivery_streams Lists your delivery streams in alphabetical order of their names
list_tags_for_delivery_stream Lists the tags for the specified delivery stream
put_record Writes a single data record into an Amazon Firehose delivery stream
put_record_batch Writes multiple data records into a delivery stream in a single call, which can achieve higher throughput per producer than when writing single records
start_delivery_stream_encryption Enables server-side encryption (SSE) for the delivery stream
stop_delivery_stream_encryption Disables server-side encryption (SSE) for the delivery stream
tag_delivery_stream Adds or updates tags for the specified delivery stream
untag_delivery_stream Removes tags from the specified delivery stream
update_destination Updates the specified destination of the specified delivery stream

Examples

## Not run: 
svc <- firehose()
svc$create_delivery_stream(
  Foo = 123
)

## End(Not run)

AWS Glue

Description

Glue

Defines the public endpoint for the Glue service.

Usage

glue(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- glue(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

batch_create_partition Creates one or more partitions in a batch operation
batch_delete_connection Deletes a list of connection definitions from the Data Catalog
batch_delete_partition Deletes one or more partitions in a batch operation
batch_delete_table Deletes multiple tables at once
batch_delete_table_version Deletes a specified batch of versions of a table
batch_get_blueprints Retrieves information about a list of blueprints
batch_get_crawlers Returns a list of resource metadata for a given list of crawler names
batch_get_custom_entity_types Retrieves the details for the custom patterns specified by a list of names
batch_get_data_quality_result Retrieves a list of data quality results for the specified result IDs
batch_get_dev_endpoints Returns a list of resource metadata for a given list of development endpoint names
batch_get_jobs Returns a list of resource metadata for a given list of job names
batch_get_partition Retrieves partitions in a batch request
batch_get_table_optimizer Returns the configuration for the specified table optimizers
batch_get_triggers Returns a list of resource metadata for a given list of trigger names
batch_get_workflows Returns a list of resource metadata for a given list of workflow names
batch_put_data_quality_statistic_annotation Annotate datapoints over time for a specific data quality statistic
batch_stop_job_run Stops one or more job runs for a specified job definition
batch_update_partition Updates one or more partitions in a batch operation
cancel_data_quality_rule_recommendation_run Cancels the specified recommendation run that was being used to generate rules
cancel_data_quality_ruleset_evaluation_run Cancels a run where a ruleset is being evaluated against a data source
cancel_ml_task_run Cancels (stops) a task run
cancel_statement Cancels the statement
check_schema_version_validity Validates the supplied schema
create_blueprint Registers a blueprint with Glue
create_classifier Creates a classifier in the user's account
create_connection Creates a connection definition in the Data Catalog
create_crawler Creates a new crawler with specified targets, role, configuration, and optional schedule
create_custom_entity_type Creates a custom pattern that is used to detect sensitive data across the columns and rows of your structured data
create_database Creates a new database in a Data Catalog
create_data_quality_ruleset Creates a data quality ruleset with DQDL rules applied to a specified Glue table
create_dev_endpoint Creates a new development endpoint
create_job Creates a new job definition
create_ml_transform Creates an Glue machine learning transform
create_partition Creates a new partition
create_partition_index Creates a specified partition index in an existing table
create_registry Creates a new registry which may be used to hold a collection of schemas
create_schema Creates a new schema set and registers the schema definition
create_script Transforms a directed acyclic graph (DAG) into code
create_security_configuration Creates a new security configuration
create_session Creates a new session
create_table Creates a new table definition in the Data Catalog
create_table_optimizer Creates a new table optimizer for a specific function
create_trigger Creates a new trigger
create_usage_profile Creates an Glue usage profile
create_user_defined_function Creates a new function definition in the Data Catalog
create_workflow Creates a new workflow
delete_blueprint Deletes an existing blueprint
delete_classifier Removes a classifier from the Data Catalog
delete_column_statistics_for_partition Delete the partition column statistics of a column
delete_column_statistics_for_table Retrieves table statistics of columns
delete_connection Deletes a connection from the Data Catalog
delete_crawler Removes a specified crawler from the Glue Data Catalog, unless the crawler state is RUNNING
delete_custom_entity_type Deletes a custom pattern by specifying its name
delete_database Removes a specified database from a Data Catalog
delete_data_quality_ruleset Deletes a data quality ruleset
delete_dev_endpoint Deletes a specified development endpoint
delete_job Deletes a specified job definition
delete_ml_transform Deletes an Glue machine learning transform
delete_partition Deletes a specified partition
delete_partition_index Deletes a specified partition index from an existing table
delete_registry Delete the entire registry including schema and all of its versions
delete_resource_policy Deletes a specified policy
delete_schema Deletes the entire schema set, including the schema set and all of its versions
delete_schema_versions Remove versions from the specified schema
delete_security_configuration Deletes a specified security configuration
delete_session Deletes the session
delete_table Removes a table definition from the Data Catalog
delete_table_optimizer Deletes an optimizer and all associated metadata for a table
delete_table_version Deletes a specified version of a table
delete_trigger Deletes a specified trigger
delete_usage_profile Deletes the Glue specified usage profile
delete_user_defined_function Deletes an existing function definition from the Data Catalog
delete_workflow Deletes a workflow
get_blueprint Retrieves the details of a blueprint
get_blueprint_run Retrieves the details of a blueprint run
get_blueprint_runs Retrieves the details of blueprint runs for a specified blueprint
get_catalog_import_status Retrieves the status of a migration operation
get_classifier Retrieve a classifier by name
get_classifiers Lists all classifier objects in the Data Catalog
get_column_statistics_for_partition Retrieves partition statistics of columns
get_column_statistics_for_table Retrieves table statistics of columns
get_column_statistics_task_run Get the associated metadata/information for a task run, given a task run ID
get_column_statistics_task_runs Retrieves information about all runs associated with the specified table
get_connection Retrieves a connection definition from the Data Catalog
get_connections Retrieves a list of connection definitions from the Data Catalog
get_crawler Retrieves metadata for a specified crawler
get_crawler_metrics Retrieves metrics about specified crawlers
get_crawlers Retrieves metadata for all crawlers defined in the customer account
get_custom_entity_type Retrieves the details of a custom pattern by specifying its name
get_database Retrieves the definition of a specified database
get_databases Retrieves all databases defined in a given Data Catalog
get_data_catalog_encryption_settings Retrieves the security configuration for a specified catalog
get_dataflow_graph Transforms a Python script into a directed acyclic graph (DAG)
get_data_quality_model Retrieve the training status of the model along with more information (CompletedOn, StartedOn, FailureReason)
get_data_quality_model_result Retrieve a statistic's predictions for a given Profile ID
get_data_quality_result Retrieves the result of a data quality rule evaluation
get_data_quality_rule_recommendation_run Gets the specified recommendation run that was used to generate rules
get_data_quality_ruleset Returns an existing ruleset by identifier or name
get_data_quality_ruleset_evaluation_run Retrieves a specific run where a ruleset is evaluated against a data source
get_dev_endpoint Retrieves information about a specified development endpoint
get_dev_endpoints Retrieves all the development endpoints in this Amazon Web Services account
get_job Retrieves an existing job definition
get_job_bookmark Returns information on a job bookmark entry
get_job_run Retrieves the metadata for a given job run
get_job_runs Retrieves metadata for all runs of a given job definition
get_jobs Retrieves all current job definitions
get_mapping Creates mappings
get_ml_task_run Gets details for a specific task run on a machine learning transform
get_ml_task_runs Gets a list of runs for a machine learning transform
get_ml_transform Gets an Glue machine learning transform artifact and all its corresponding metadata
get_ml_transforms Gets a sortable, filterable list of existing Glue machine learning transforms
get_partition Retrieves information about a specified partition
get_partition_indexes Retrieves the partition indexes associated with a table
get_partitions Retrieves information about the partitions in a table
get_plan Gets code to perform a specified mapping
get_registry Describes the specified registry in detail
get_resource_policies Retrieves the resource policies set on individual resources by Resource Access Manager during cross-account permission grants
get_resource_policy Retrieves a specified resource policy
get_schema Describes the specified schema in detail
get_schema_by_definition Retrieves a schema by the SchemaDefinition
get_schema_version Get the specified schema by its unique ID assigned when a version of the schema is created or registered
get_schema_versions_diff Fetches the schema version difference in the specified difference type between two stored schema versions in the Schema Registry
get_security_configuration Retrieves a specified security configuration
get_security_configurations Retrieves a list of all security configurations
get_session Retrieves the session
get_statement Retrieves the statement
get_table Retrieves the Table definition in a Data Catalog for a specified table
get_table_optimizer Returns the configuration of all optimizers associated with a specified table
get_tables Retrieves the definitions of some or all of the tables in a given Database
get_table_version Retrieves a specified version of a table
get_table_versions Retrieves a list of strings that identify available versions of a specified table
get_tags Retrieves a list of tags associated with a resource
get_trigger Retrieves the definition of a trigger
get_triggers Gets all the triggers associated with a job
get_unfiltered_partition_metadata Retrieves partition metadata from the Data Catalog that contains unfiltered metadata
get_unfiltered_partitions_metadata Retrieves partition metadata from the Data Catalog that contains unfiltered metadata
get_unfiltered_table_metadata Allows a third-party analytical engine to retrieve unfiltered table metadata from the Data Catalog
get_usage_profile Retrieves information about the specified Glue usage profile
get_user_defined_function Retrieves a specified function definition from the Data Catalog
get_user_defined_functions Retrieves multiple function definitions from the Data Catalog
get_workflow Retrieves resource metadata for a workflow
get_workflow_run Retrieves the metadata for a given workflow run
get_workflow_run_properties Retrieves the workflow run properties which were set during the run
get_workflow_runs Retrieves metadata for all runs of a given workflow
import_catalog_to_glue Imports an existing Amazon Athena Data Catalog to Glue
list_blueprints Lists all the blueprint names in an account
list_column_statistics_task_runs List all task runs for a particular account
list_crawlers Retrieves the names of all crawler resources in this Amazon Web Services account, or the resources with the specified tag
list_crawls Returns all the crawls of a specified crawler
list_custom_entity_types Lists all the custom patterns that have been created
list_data_quality_results Returns all data quality execution results for your account
list_data_quality_rule_recommendation_runs Lists the recommendation runs meeting the filter criteria
list_data_quality_ruleset_evaluation_runs Lists all the runs meeting the filter criteria, where a ruleset is evaluated against a data source
list_data_quality_rulesets Returns a paginated list of rulesets for the specified list of Glue tables
list_data_quality_statistic_annotations Retrieve annotations for a data quality statistic
list_data_quality_statistics Retrieves a list of data quality statistics
list_dev_endpoints Retrieves the names of all DevEndpoint resources in this Amazon Web Services account, or the resources with the specified tag
list_jobs Retrieves the names of all job resources in this Amazon Web Services account, or the resources with the specified tag
list_ml_transforms Retrieves a sortable, filterable list of existing Glue machine learning transforms in this Amazon Web Services account, or the resources with the specified tag
list_registries Returns a list of registries that you have created, with minimal registry information
list_schemas Returns a list of schemas with minimal details
list_schema_versions Returns a list of schema versions that you have created, with minimal information
list_sessions Retrieve a list of sessions
list_statements Lists statements for the session
list_table_optimizer_runs Lists the history of previous optimizer runs for a specific table
list_triggers Retrieves the names of all trigger resources in this Amazon Web Services account, or the resources with the specified tag
list_usage_profiles List all the Glue usage profiles
list_workflows Lists names of workflows created in the account
put_data_catalog_encryption_settings Sets the security configuration for a specified catalog
put_data_quality_profile_annotation Annotate all datapoints for a Profile
put_resource_policy Sets the Data Catalog resource policy for access control
put_schema_version_metadata Puts the metadata key value pair for a specified schema version ID
put_workflow_run_properties Puts the specified workflow run properties for the given workflow run
query_schema_version_metadata Queries for the schema version metadata information
register_schema_version Adds a new version to the existing schema
remove_schema_version_metadata Removes a key value pair from the schema version metadata for the specified schema version ID
reset_job_bookmark Resets a bookmark entry
resume_workflow_run Restarts selected nodes of a previous partially completed workflow run and resumes the workflow run
run_statement Executes the statement
search_tables Searches a set of tables based on properties in the table metadata as well as on the parent database
start_blueprint_run Starts a new run of the specified blueprint
start_column_statistics_task_run Starts a column statistics task run, for a specified table and columns
start_crawler Starts a crawl using the specified crawler, regardless of what is scheduled
start_crawler_schedule Changes the schedule state of the specified crawler to SCHEDULED, unless the crawler is already running or the schedule state is already SCHEDULED
start_data_quality_rule_recommendation_run Starts a recommendation run that is used to generate rules when you don't know what rules to write
start_data_quality_ruleset_evaluation_run Once you have a ruleset definition (either recommended or your own), you call this operation to evaluate the ruleset against a data source (Glue table)
start_export_labels_task_run Begins an asynchronous task to export all labeled data for a particular transform
start_import_labels_task_run Enables you to provide additional labels (examples of truth) to be used to teach the machine learning transform and improve its quality
start_job_run Starts a job run using a job definition
start_ml_evaluation_task_run Starts a task to estimate the quality of the transform
start_ml_labeling_set_generation_task_run Starts the active learning workflow for your machine learning transform to improve the transform's quality by generating label sets and adding labels
start_trigger Starts an existing trigger
start_workflow_run Starts a new run of the specified workflow
stop_column_statistics_task_run Stops a task run for the specified table
stop_crawler If the specified crawler is running, stops the crawl
stop_crawler_schedule Sets the schedule state of the specified crawler to NOT_SCHEDULED, but does not stop the crawler if it is already running
stop_session Stops the session
stop_trigger Stops a specified trigger
stop_workflow_run Stops the execution of the specified workflow run
tag_resource Adds tags to a resource
untag_resource Removes tags from a resource
update_blueprint Updates a registered blueprint
update_classifier Modifies an existing classifier (a GrokClassifier, an XMLClassifier, a JsonClassifier, or a CsvClassifier, depending on which field is present)
update_column_statistics_for_partition Creates or updates partition statistics of columns
update_column_statistics_for_table Creates or updates table statistics of columns
update_connection Updates a connection definition in the Data Catalog
update_crawler Updates a crawler
update_crawler_schedule Updates the schedule of a crawler using a cron expression
update_database Updates an existing database definition in a Data Catalog
update_data_quality_ruleset Updates the specified data quality ruleset
update_dev_endpoint Updates a specified development endpoint
update_job Updates an existing job definition
update_job_from_source_control Synchronizes a job from the source control repository
update_ml_transform Updates an existing machine learning transform
update_partition Updates a partition
update_registry Updates an existing registry which is used to hold a collection of schemas
update_schema Updates the description, compatibility setting, or version checkpoint for a schema set
update_source_control_from_job Synchronizes a job to the source control repository
update_table Updates a metadata table in the Data Catalog
update_table_optimizer Updates the configuration for an existing table optimizer
update_trigger Updates a trigger definition
update_usage_profile Update an Glue usage profile
update_user_defined_function Updates an existing function definition in the Data Catalog
update_workflow Updates an existing workflow

Examples

## Not run: 
svc <- glue()
svc$batch_create_partition(
  Foo = 123
)

## End(Not run)

AWS Glue DataBrew

Description

Glue DataBrew is a visual, cloud-scale data-preparation service. DataBrew simplifies data preparation tasks, targeting data issues that are hard to spot and time-consuming to fix. DataBrew empowers users of all technical levels to visualize the data and perform one-click data transformations, with no coding required.

Usage

gluedatabrew(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- gluedatabrew(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

batch_delete_recipe_version Deletes one or more versions of a recipe at a time
create_dataset Creates a new DataBrew dataset
create_profile_job Creates a new job to analyze a dataset and create its data profile
create_project Creates a new DataBrew project
create_recipe Creates a new DataBrew recipe
create_recipe_job Creates a new job to transform input data, using steps defined in an existing Glue DataBrew recipe
create_ruleset Creates a new ruleset that can be used in a profile job to validate the data quality of a dataset
create_schedule Creates a new schedule for one or more DataBrew jobs
delete_dataset Deletes a dataset from DataBrew
delete_job Deletes the specified DataBrew job
delete_project Deletes an existing DataBrew project
delete_recipe_version Deletes a single version of a DataBrew recipe
delete_ruleset Deletes a ruleset
delete_schedule Deletes the specified DataBrew schedule
describe_dataset Returns the definition of a specific DataBrew dataset
describe_job Returns the definition of a specific DataBrew job
describe_job_run Represents one run of a DataBrew job
describe_project Returns the definition of a specific DataBrew project
describe_recipe Returns the definition of a specific DataBrew recipe corresponding to a particular version
describe_ruleset Retrieves detailed information about the ruleset
describe_schedule Returns the definition of a specific DataBrew schedule
list_datasets Lists all of the DataBrew datasets
list_job_runs Lists all of the previous runs of a particular DataBrew job
list_jobs Lists all of the DataBrew jobs that are defined
list_projects Lists all of the DataBrew projects that are defined
list_recipes Lists all of the DataBrew recipes that are defined
list_recipe_versions Lists the versions of a particular DataBrew recipe, except for LATEST_WORKING
list_rulesets List all rulesets available in the current account or rulesets associated with a specific resource (dataset)
list_schedules Lists the DataBrew schedules that are defined
list_tags_for_resource Lists all the tags for a DataBrew resource
publish_recipe Publishes a new version of a DataBrew recipe
send_project_session_action Performs a recipe step within an interactive DataBrew session that's currently open
start_job_run Runs a DataBrew job
start_project_session Creates an interactive session, enabling you to manipulate data in a DataBrew project
stop_job_run Stops a particular run of a job
tag_resource Adds metadata tags to a DataBrew resource, such as a dataset, project, recipe, job, or schedule
untag_resource Removes metadata tags from a DataBrew resource
update_dataset Modifies the definition of an existing DataBrew dataset
update_profile_job Modifies the definition of an existing profile job
update_project Modifies the definition of an existing DataBrew project
update_recipe Modifies the definition of the LATEST_WORKING version of a DataBrew recipe
update_recipe_job Modifies the definition of an existing DataBrew recipe job
update_ruleset Updates specified ruleset
update_schedule Modifies the definition of an existing DataBrew schedule

Examples

## Not run: 
svc <- gluedatabrew()
svc$batch_delete_recipe_version(
  Foo = 123
)

## End(Not run)

Amazon HealthLake

Description

AWS HealthLake is a HIPAA eligibile service that allows customers to store, transform, query, and analyze their FHIR-formatted data in a consistent fashion in the cloud.

Usage

healthlake(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- healthlake(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

create_fhir_datastore Creates a data store that can ingest and export FHIR formatted data
delete_fhir_datastore Deletes a data store
describe_fhir_datastore Gets the properties associated with the FHIR data store, including the data store ID, data store ARN, data store name, data store status, when the data store was created, data store type version, and the data store's endpoint
describe_fhir_export_job Displays the properties of a FHIR export job, including the ID, ARN, name, and the status of the job
describe_fhir_import_job Displays the properties of a FHIR import job, including the ID, ARN, name, and the status of the job
list_fhir_datastores Lists all FHIR data stores that are in the user’s account, regardless of data store status
list_fhir_export_jobs Lists all FHIR export jobs associated with an account and their statuses
list_fhir_import_jobs Lists all FHIR import jobs associated with an account and their statuses
list_tags_for_resource Returns a list of all existing tags associated with a data store
start_fhir_export_job Begins a FHIR export job
start_fhir_import_job Begins a FHIR Import job
tag_resource Adds a user specified key and value tag to a data store
untag_resource Removes tags from a data store

Examples

## Not run: 
svc <- healthlake()
svc$create_fhir_datastore(
  Foo = 123
)

## End(Not run)

Amazon Interactive Video Service

Description

Introduction

The Amazon Interactive Video Service (IVS) API is REST compatible, using a standard HTTP API and an Amazon Web Services EventBridge event stream for responses. JSON is used for both requests and responses, including errors.

The API is an Amazon Web Services regional service. For a list of supported regions and Amazon IVS HTTPS service endpoints, see the Amazon IVS page in the Amazon Web Services General Reference.

*All API request parameters and URLs are case sensitive. *

For a summary of notable documentation changes in each release, see Document History.

Allowed Header Values

  • ⁠Accept:⁠ application/json

  • ⁠Accept-Encoding:⁠ gzip, deflate

  • ⁠Content-Type:⁠application/json

Key Concepts

  • Channel — Stores configuration data related to your live stream. You first create a channel and then use the channel’s stream key to start your live stream.

  • Stream key — An identifier assigned by Amazon IVS when you create a channel, which is then used to authorize streaming. Treat the stream key like a secret, since it allows anyone to stream to the channel.

  • Playback key pair — Video playback may be restricted using playback-authorization tokens, which use public-key encryption. A playback key pair is the public-private pair of keys used to sign and validate the playback-authorization token.

  • Recording configuration — Stores configuration related to recording a live stream and where to store the recorded content. Multiple channels can reference the same recording configuration.

  • Playback restriction policy — Restricts playback by countries and/or origin sites.

For more information about your IVS live stream, also see Getting Started with IVS Low-Latency Streaming.

Tagging

A tag is a metadata label that you assign to an Amazon Web Services resource. A tag comprises a key and a value, both set by you. For example, you might set a tag as topic:nature to label a particular video category. See Tagging Amazon Web Services Resources for more information, including restrictions that apply to tags and "Tag naming limits and requirements"; Amazon IVS has no service-specific constraints beyond what is documented there.

Tags can help you identify and organize your Amazon Web Services resources. For example, you can use the same tag for different resources to indicate that they are related. You can also use tags to manage access (see Access Tags).

The Amazon IVS API has these tag-related endpoints: tag_resource, untag_resource, and list_tags_for_resource. The following resources support tagging: Channels, Stream Keys, Playback Key Pairs, and Recording Configurations.

At most 50 tags can be applied to a resource.

Authentication versus Authorization

Note the differences between these concepts:

  • Authentication is about verifying identity. You need to be authenticated to sign Amazon IVS API requests.

  • Authorization is about granting permissions. Your IAM roles need to have permissions for Amazon IVS API requests. In addition, authorization is needed to view Amazon IVS private channels. (Private channels are channels that are enabled for "playback authorization.")

Authentication

All Amazon IVS API requests must be authenticated with a signature. The Amazon Web Services Command-Line Interface (CLI) and Amazon IVS Player SDKs take care of signing the underlying API calls for you. However, if your application calls the Amazon IVS API directly, it’s your responsibility to sign the requests.

You generate a signature using valid Amazon Web Services credentials that have permission to perform the requested action. For example, you must sign PutMetadata requests with a signature generated from a user account that has the ivs:PutMetadata permission.

For more information:

Amazon Resource Names (ARNs)

ARNs uniquely identify AWS resources. An ARN is required when you need to specify a resource unambiguously across all of AWS, such as in IAM policies and API calls. For more information, see Amazon Resource Names in the AWS General Reference.

Usage

ivs(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- ivs(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

batch_get_channel Performs GetChannel on multiple ARNs simultaneously
batch_get_stream_key Performs GetStreamKey on multiple ARNs simultaneously
batch_start_viewer_session_revocation Performs StartViewerSessionRevocation on multiple channel ARN and viewer ID pairs simultaneously
create_channel Creates a new channel and an associated stream key to start streaming
create_playback_restriction_policy Creates a new playback restriction policy, for constraining playback by countries and/or origins
create_recording_configuration Creates a new recording configuration, used to enable recording to Amazon S3
create_stream_key Creates a stream key, used to initiate a stream, for the specified channel ARN
delete_channel Deletes the specified channel and its associated stream keys
delete_playback_key_pair Deletes a specified authorization key pair
delete_playback_restriction_policy Deletes the specified playback restriction policy
delete_recording_configuration Deletes the recording configuration for the specified ARN
delete_stream_key Deletes the stream key for the specified ARN, so it can no longer be used to stream
get_channel Gets the channel configuration for the specified channel ARN
get_playback_key_pair Gets a specified playback authorization key pair and returns the arn and fingerprint
get_playback_restriction_policy Gets the specified playback restriction policy
get_recording_configuration Gets the recording configuration for the specified ARN
get_stream Gets information about the active (live) stream on a specified channel
get_stream_key Gets stream-key information for a specified ARN
get_stream_session Gets metadata on a specified stream
import_playback_key_pair Imports the public portion of a new key pair and returns its arn and fingerprint
list_channels Gets summary information about all channels in your account, in the Amazon Web Services region where the API request is processed
list_playback_key_pairs Gets summary information about playback key pairs
list_playback_restriction_policies Gets summary information about playback restriction policies
list_recording_configurations Gets summary information about all recording configurations in your account, in the Amazon Web Services region where the API request is processed
list_stream_keys Gets summary information about stream keys for the specified channel
list_streams Gets summary information about live streams in your account, in the Amazon Web Services region where the API request is processed
list_stream_sessions Gets a summary of current and previous streams for a specified channel in your account, in the AWS region where the API request is processed
list_tags_for_resource Gets information about Amazon Web Services tags for the specified ARN
put_metadata Inserts metadata into the active stream of the specified channel
start_viewer_session_revocation Starts the process of revoking the viewer session associated with a specified channel ARN and viewer ID
stop_stream Disconnects the incoming RTMPS stream for the specified channel
tag_resource Adds or updates tags for the Amazon Web Services resource with the specified ARN
untag_resource Removes tags from the resource with the specified ARN
update_channel Updates a channel's configuration
update_playback_restriction_policy Updates a specified playback restriction policy

Examples

## Not run: 
svc <- ivs()
svc$batch_get_channel(
  Foo = 123
)

## End(Not run)

Amazon Interactive Video Service RealTime

Description

The Amazon Interactive Video Service (IVS) real-time API is REST compatible, using a standard HTTP API and an AWS EventBridge event stream for responses. JSON is used for both requests and responses, including errors.

Key Concepts

  • Stage — A virtual space where participants can exchange video in real time.

  • Participant token — A token that authenticates a participant when they join a stage.

  • Participant object — Represents participants (people) in the stage and contains information about them. When a token is created, it includes a participant ID; when a participant uses that token to join a stage, the participant is associated with that participant ID. There is a 1:1 mapping between participant tokens and participants.

For server-side composition:

  • Composition process — Composites participants of a stage into a single video and forwards it to a set of outputs (e.g., IVS channels). Composition endpoints support this process.

  • Composition — Controls the look of the outputs, including how participants are positioned in the video.

For more information about your IVS live stream, also see Getting Started with Amazon IVS Real-Time Streaming.

Tagging

A tag is a metadata label that you assign to an AWS resource. A tag comprises a key and a value, both set by you. For example, you might set a tag as topic:nature to label a particular video category. See Tagging AWS Resources for more information, including restrictions that apply to tags and "Tag naming limits and requirements"; Amazon IVS stages has no service-specific constraints beyond what is documented there.

Tags can help you identify and organize your AWS resources. For example, you can use the same tag for different resources to indicate that they are related. You can also use tags to manage access (see Access Tags).

The Amazon IVS real-time API has these tag-related endpoints: tag_resource, untag_resource, and list_tags_for_resource. The following resource supports tagging: Stage.

At most 50 tags can be applied to a resource.

Usage

ivsrealtime(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- ivsrealtime(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

create_encoder_configuration Creates an EncoderConfiguration object
create_participant_token Creates an additional token for a specified stage
create_stage Creates a new stage (and optionally participant tokens)
create_storage_configuration Creates a new storage configuration, used to enable recording to Amazon S3
delete_encoder_configuration Deletes an EncoderConfiguration resource
delete_public_key Deletes the specified public key used to sign stage participant tokens
delete_stage Shuts down and deletes the specified stage (disconnecting all participants)
delete_storage_configuration Deletes the storage configuration for the specified ARN
disconnect_participant Disconnects a specified participant and revokes the participant permanently from a specified stage
get_composition Get information about the specified Composition resource
get_encoder_configuration Gets information about the specified EncoderConfiguration resource
get_participant Gets information about the specified participant token
get_public_key Gets information for the specified public key
get_stage Gets information for the specified stage
get_stage_session Gets information for the specified stage session
get_storage_configuration Gets the storage configuration for the specified ARN
import_public_key Import a public key to be used for signing stage participant tokens
list_compositions Gets summary information about all Compositions in your account, in the AWS region where the API request is processed
list_encoder_configurations Gets summary information about all EncoderConfigurations in your account, in the AWS region where the API request is processed
list_participant_events Lists events for a specified participant that occurred during a specified stage session
list_participants Lists all participants in a specified stage session
list_public_keys Gets summary information about all public keys in your account, in the AWS region where the API request is processed
list_stages Gets summary information about all stages in your account, in the AWS region where the API request is processed
list_stage_sessions Gets all sessions for a specified stage
list_storage_configurations Gets summary information about all storage configurations in your account, in the AWS region where the API request is processed
list_tags_for_resource Gets information about AWS tags for the specified ARN
start_composition Starts a Composition from a stage based on the configuration provided in the request
stop_composition Stops and deletes a Composition resource
tag_resource Adds or updates tags for the AWS resource with the specified ARN
untag_resource Removes tags from the resource with the specified ARN
update_stage Updates a stage’s configuration

Examples

## Not run: 
svc <- ivsrealtime()
svc$create_encoder_configuration(
  Foo = 123
)

## End(Not run)

Managed Streaming for Kafka

Description

The operations for managing an Amazon MSK cluster.

Usage

kafka(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- kafka(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

batch_associate_scram_secret Associates one or more Scram Secrets with an Amazon MSK cluster
batch_disassociate_scram_secret Disassociates one or more Scram Secrets from an Amazon MSK cluster
create_cluster Creates a new MSK cluster
create_cluster_v2 Creates a new MSK cluster
create_configuration Creates a new MSK configuration
create_replicator Creates the replicator
create_vpc_connection Creates a new MSK VPC connection
delete_cluster Deletes the MSK cluster specified by the Amazon Resource Name (ARN) in the request
delete_cluster_policy Deletes the MSK cluster policy specified by the Amazon Resource Name (ARN) in the request
delete_configuration Deletes an MSK Configuration
delete_replicator Deletes a replicator
delete_vpc_connection Deletes a MSK VPC connection
describe_cluster Returns a description of the MSK cluster whose Amazon Resource Name (ARN) is specified in the request
describe_cluster_operation Returns a description of the cluster operation specified by the ARN
describe_cluster_operation_v2 Returns a description of the cluster operation specified by the ARN
describe_cluster_v2 Returns a description of the MSK cluster whose Amazon Resource Name (ARN) is specified in the request
describe_configuration Returns a description of this MSK configuration
describe_configuration_revision Returns a description of this revision of the configuration
describe_replicator Describes a replicator
describe_vpc_connection Returns a description of this MSK VPC connection
get_bootstrap_brokers A list of brokers that a client application can use to bootstrap
get_cluster_policy Get the MSK cluster policy specified by the Amazon Resource Name (ARN) in the request
get_compatible_kafka_versions Gets the Apache Kafka versions to which you can update the MSK cluster
list_client_vpc_connections Returns a list of all the VPC connections in this Region
list_cluster_operations Returns a list of all the operations that have been performed on the specified MSK cluster
list_cluster_operations_v2 Returns a list of all the operations that have been performed on the specified MSK cluster
list_clusters Returns a list of all the MSK clusters in the current Region
list_clusters_v2 Returns a list of all the MSK clusters in the current Region
list_configuration_revisions Returns a list of all the MSK configurations in this Region
list_configurations Returns a list of all the MSK configurations in this Region
list_kafka_versions Returns a list of Apache Kafka versions
list_nodes Returns a list of the broker nodes in the cluster
list_replicators Lists the replicators
list_scram_secrets Returns a list of the Scram Secrets associated with an Amazon MSK cluster
list_tags_for_resource Returns a list of the tags associated with the specified resource
list_vpc_connections Returns a list of all the VPC connections in this Region
put_cluster_policy Creates or updates the MSK cluster policy specified by the cluster Amazon Resource Name (ARN) in the request
reboot_broker Reboots brokers
reject_client_vpc_connection Returns empty response
tag_resource Adds tags to the specified MSK resource
untag_resource Removes the tags associated with the keys that are provided in the query
update_broker_count Updates the number of broker nodes in the cluster
update_broker_storage Updates the EBS storage associated with MSK brokers
update_broker_type Updates EC2 instance type
update_cluster_configuration Updates the cluster with the configuration that is specified in the request body
update_cluster_kafka_version Updates the Apache Kafka version for the cluster
update_configuration Updates an MSK configuration
update_connectivity Updates the cluster's connectivity configuration
update_monitoring Updates the monitoring settings for the cluster
update_replication_info Updates replication info of a replicator
update_security Updates the security settings for the cluster
update_storage Updates cluster broker volume size (or) sets cluster storage mode to TIERED

Examples

## Not run: 
svc <- kafka()
svc$batch_associate_scram_secret(
  Foo = 123
)

## End(Not run)

Managed Streaming for Kafka Connect

Description

Managed Streaming for Kafka Connect

Usage

kafkaconnect(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- kafkaconnect(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

create_connector Creates a connector using the specified properties
create_custom_plugin Creates a custom plugin using the specified properties
create_worker_configuration Creates a worker configuration using the specified properties
delete_connector Deletes the specified connector
delete_custom_plugin Deletes a custom plugin
delete_worker_configuration Deletes the specified worker configuration
describe_connector Returns summary information about the connector
describe_custom_plugin A summary description of the custom plugin
describe_worker_configuration Returns information about a worker configuration
list_connectors Returns a list of all the connectors in this account and Region
list_custom_plugins Returns a list of all of the custom plugins in this account and Region
list_tags_for_resource Lists all the tags attached to the specified resource
list_worker_configurations Returns a list of all of the worker configurations in this account and Region
tag_resource Attaches tags to the specified resource
untag_resource Removes tags from the specified resource
update_connector Updates the specified connector

Examples

## Not run: 
svc <- kafkaconnect()
svc$create_connector(
  Foo = 123
)

## End(Not run)

AWSKendraFrontendService

Description

Amazon Kendra is a service for indexing large document sets.

Usage

kendra(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- kendra(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

associate_entities_to_experience Grants users or groups in your IAM Identity Center identity source access to your Amazon Kendra experience
associate_personas_to_entities Defines the specific permissions of users or groups in your IAM Identity Center identity source with access to your Amazon Kendra experience
batch_delete_document Removes one or more documents from an index
batch_delete_featured_results_set Removes one or more sets of featured results
batch_get_document_status Returns the indexing status for one or more documents submitted with the BatchPutDocument API
batch_put_document Adds one or more documents to an index
clear_query_suggestions Clears existing query suggestions from an index
create_access_control_configuration Creates an access configuration for your documents
create_data_source Creates a data source connector that you want to use with an Amazon Kendra index
create_experience Creates an Amazon Kendra experience such as a search application
create_faq Creates a set of frequently ask questions (FAQs) using a specified FAQ file stored in an Amazon S3 bucket
create_featured_results_set Creates a set of featured results to display at the top of the search results page
create_index Creates an Amazon Kendra index
create_query_suggestions_block_list Creates a block list to exlcude certain queries from suggestions
create_thesaurus Creates a thesaurus for an index
delete_access_control_configuration Deletes an access control configuration that you created for your documents in an index
delete_data_source Deletes an Amazon Kendra data source connector
delete_experience Deletes your Amazon Kendra experience such as a search application
delete_faq Removes an FAQ from an index
delete_index Deletes an Amazon Kendra index
delete_principal_mapping Deletes a group so that all users and sub groups that belong to the group can no longer access documents only available to that group
delete_query_suggestions_block_list Deletes a block list used for query suggestions for an index
delete_thesaurus Deletes an Amazon Kendra thesaurus
describe_access_control_configuration Gets information about an access control configuration that you created for your documents in an index
describe_data_source Gets information about an Amazon Kendra data source connector
describe_experience Gets information about your Amazon Kendra experience such as a search application
describe_faq Gets information about an FAQ list
describe_featured_results_set Gets information about a set of featured results
describe_index Gets information about an Amazon Kendra index
describe_principal_mapping Describes the processing of PUT and DELETE actions for mapping users to their groups
describe_query_suggestions_block_list Gets information about a block list used for query suggestions for an index
describe_query_suggestions_config Gets information on the settings of query suggestions for an index
describe_thesaurus Gets information about an Amazon Kendra thesaurus
disassociate_entities_from_experience Prevents users or groups in your IAM Identity Center identity source from accessing your Amazon Kendra experience
disassociate_personas_from_entities Removes the specific permissions of users or groups in your IAM Identity Center identity source with access to your Amazon Kendra experience
get_query_suggestions Fetches the queries that are suggested to your users
get_snapshots Retrieves search metrics data
list_access_control_configurations Lists one or more access control configurations for an index
list_data_sources Lists the data source connectors that you have created
list_data_source_sync_jobs Gets statistics about synchronizing a data source connector
list_entity_personas Lists specific permissions of users and groups with access to your Amazon Kendra experience
list_experience_entities Lists users or groups in your IAM Identity Center identity source that are granted access to your Amazon Kendra experience
list_experiences Lists one or more Amazon Kendra experiences
list_faqs Gets a list of FAQ lists associated with an index
list_featured_results_sets Lists all your sets of featured results for a given index
list_groups_older_than_ordering_id Provides a list of groups that are mapped to users before a given ordering or timestamp identifier
list_indices Lists the Amazon Kendra indexes that you created
list_query_suggestions_block_lists Lists the block lists used for query suggestions for an index
list_tags_for_resource Gets a list of tags associated with a specified resource
list_thesauri Lists the thesauri for an index
put_principal_mapping Maps users to their groups so that you only need to provide the user ID when you issue the query
query Searches an index given an input query
retrieve Retrieves relevant passages or text excerpts given an input query
start_data_source_sync_job Starts a synchronization job for a data source connector
stop_data_source_sync_job Stops a synchronization job that is currently running
submit_feedback Enables you to provide feedback to Amazon Kendra to improve the performance of your index
tag_resource Adds the specified tag to the specified index, FAQ, or data source resource
untag_resource Removes a tag from an index, FAQ, or a data source
update_access_control_configuration Updates an access control configuration for your documents in an index
update_data_source Updates an Amazon Kendra data source connector
update_experience Updates your Amazon Kendra experience such as a search application
update_featured_results_set Updates a set of featured results
update_index Updates an Amazon Kendra index
update_query_suggestions_block_list Updates a block list used for query suggestions for an index
update_query_suggestions_config Updates the settings of query suggestions for an index
update_thesaurus Updates a thesaurus for an index

Examples

## Not run: 
svc <- kendra()
svc$associate_entities_to_experience(
  Foo = 123
)

## End(Not run)

Amazon Kendra Intelligent Ranking

Description

Amazon Kendra Intelligent Ranking uses Amazon Kendra semantic search capabilities to intelligently re-rank a search service's results.

Usage

kendraranking(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- kendraranking(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

create_rescore_execution_plan Creates a rescore execution plan
delete_rescore_execution_plan Deletes a rescore execution plan
describe_rescore_execution_plan Gets information about a rescore execution plan
list_rescore_execution_plans Lists your rescore execution plans
list_tags_for_resource Gets a list of tags associated with a specified resource
rescore Rescores or re-ranks search results from a search service such as OpenSearch (self managed)
tag_resource Adds a specified tag to a specified rescore execution plan
untag_resource Removes a tag from a rescore execution plan
update_rescore_execution_plan Updates a rescore execution plan

Examples

## Not run: 
svc <- kendraranking()
svc$create_rescore_execution_plan(
  Foo = 123
)

## End(Not run)

Amazon Kinesis

Description

Amazon Kinesis Data Streams Service API Reference

Amazon Kinesis Data Streams is a managed service that scales elastically for real-time processing of streaming big data.

Usage

kinesis(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- kinesis(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

add_tags_to_stream Adds or updates tags for the specified Kinesis data stream
create_stream Creates a Kinesis data stream
decrease_stream_retention_period Decreases the Kinesis data stream's retention period, which is the length of time data records are accessible after they are added to the stream
delete_resource_policy Delete a policy for the specified data stream or consumer
delete_stream Deletes a Kinesis data stream and all its shards and data
deregister_stream_consumer To deregister a consumer, provide its ARN
describe_limits Describes the shard limits and usage for the account
describe_stream Describes the specified Kinesis data stream
describe_stream_consumer To get the description of a registered consumer, provide the ARN of the consumer
describe_stream_summary Provides a summarized description of the specified Kinesis data stream without the shard list
disable_enhanced_monitoring Disables enhanced monitoring
enable_enhanced_monitoring Enables enhanced Kinesis data stream monitoring for shard-level metrics
get_records Gets data records from a Kinesis data stream's shard
get_resource_policy Returns a policy attached to the specified data stream or consumer
get_shard_iterator Gets an Amazon Kinesis shard iterator
increase_stream_retention_period Increases the Kinesis data stream's retention period, which is the length of time data records are accessible after they are added to the stream
list_shards Lists the shards in a stream and provides information about each shard
list_stream_consumers Lists the consumers registered to receive data from a stream using enhanced fan-out, and provides information about each consumer
list_streams Lists your Kinesis data streams
list_tags_for_stream Lists the tags for the specified Kinesis data stream
merge_shards Merges two adjacent shards in a Kinesis data stream and combines them into a single shard to reduce the stream's capacity to ingest and transport data
put_record Writes a single data record into an Amazon Kinesis data stream
put_records Writes multiple data records into a Kinesis data stream in a single call (also referred to as a PutRecords request)
put_resource_policy Attaches a resource-based policy to a data stream or registered consumer
register_stream_consumer Registers a consumer with a Kinesis data stream
remove_tags_from_stream Removes tags from the specified Kinesis data stream
split_shard Splits a shard into two new shards in the Kinesis data stream, to increase the stream's capacity to ingest and transport data
start_stream_encryption Enables or updates server-side encryption using an Amazon Web Services KMS key for a specified stream
stop_stream_encryption Disables server-side encryption for a specified stream
update_shard_count Updates the shard count of the specified stream to the specified number of shards
update_stream_mode Updates the capacity mode of the data stream

Examples

## Not run: 
svc <- kinesis()
svc$add_tags_to_stream(
  Foo = 123
)

## End(Not run)

Amazon Kinesis Analytics

Description

Overview

This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see Amazon Kinesis Data Analytics API V2 Documentation.

This is the Amazon Kinesis Analytics v1 API Reference. The Amazon Kinesis Analytics Developer Guide provides additional information.

Usage

kinesisanalytics(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- kinesisanalytics(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

add_application_cloud_watch_logging_option This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
add_application_input This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
add_application_input_processing_configuration This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
add_application_output This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
add_application_reference_data_source This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
create_application This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
delete_application This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
delete_application_cloud_watch_logging_option This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
delete_application_input_processing_configuration This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
delete_application_output This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
delete_application_reference_data_source This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
describe_application This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
discover_input_schema This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
list_applications This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
list_tags_for_resource Retrieves the list of key-value tags assigned to the application
start_application This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
stop_application This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications
tag_resource Adds one or more key-value tags to a Kinesis Analytics application
untag_resource Removes one or more tags from a Kinesis Analytics application
update_application This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications

Examples

## Not run: 
svc <- kinesisanalytics()
svc$add_application_cloud_watch_logging_option(
  Foo = 123
)

## End(Not run)

Amazon Kinesis Analytics

Description

Amazon Managed Service for Apache Flink was previously known as Amazon Kinesis Data Analytics for Apache Flink.

Amazon Managed Service for Apache Flink is a fully managed service that you can use to process and analyze streaming data using Java, Python, SQL, or Scala. The service enables you to quickly author and run Java, SQL, or Scala code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics.

Usage

kinesisanalyticsv2(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- kinesisanalyticsv2(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

add_application_cloud_watch_logging_option Adds an Amazon CloudWatch log stream to monitor application configuration errors
add_application_input Adds a streaming source to your SQL-based Kinesis Data Analytics application
add_application_input_processing_configuration Adds an InputProcessingConfiguration to a SQL-based Kinesis Data Analytics application
add_application_output Adds an external destination to your SQL-based Kinesis Data Analytics application
add_application_reference_data_source Adds a reference data source to an existing SQL-based Kinesis Data Analytics application
add_application_vpc_configuration Adds a Virtual Private Cloud (VPC) configuration to the application
create_application Creates a Managed Service for Apache Flink application
create_application_presigned_url Creates and returns a URL that you can use to connect to an application's extension
create_application_snapshot Creates a snapshot of the application's state data
delete_application Deletes the specified application
delete_application_cloud_watch_logging_option Deletes an Amazon CloudWatch log stream from an SQL-based Kinesis Data Analytics application
delete_application_input_processing_configuration Deletes an InputProcessingConfiguration from an input
delete_application_output Deletes the output destination configuration from your SQL-based Kinesis Data Analytics application's configuration
delete_application_reference_data_source Deletes a reference data source configuration from the specified SQL-based Kinesis Data Analytics application's configuration
delete_application_snapshot Deletes a snapshot of application state
delete_application_vpc_configuration Removes a VPC configuration from a Managed Service for Apache Flink application
describe_application Returns information about a specific Managed Service for Apache Flink application
describe_application_operation Returns information about a specific operation performed on a Managed Service for Apache Flink application
describe_application_snapshot Returns information about a snapshot of application state data
describe_application_version Provides a detailed description of a specified version of the application
discover_input_schema Infers a schema for a SQL-based Kinesis Data Analytics application by evaluating sample records on the specified streaming source (Kinesis data stream or Kinesis Data Firehose delivery stream) or Amazon S3 object
list_application_operations Lists information about operations performed on a Managed Service for Apache Flink application
list_applications Returns a list of Managed Service for Apache Flink applications in your account
list_application_snapshots Lists information about the current application snapshots
list_application_versions Lists all the versions for the specified application, including versions that were rolled back
list_tags_for_resource Retrieves the list of key-value tags assigned to the application
rollback_application Reverts the application to the previous running version
start_application Starts the specified Managed Service for Apache Flink application
stop_application Stops the application from processing data
tag_resource Adds one or more key-value tags to a Managed Service for Apache Flink application
untag_resource Removes one or more tags from a Managed Service for Apache Flink application
update_application Updates an existing Managed Service for Apache Flink application
update_application_maintenance_configuration Updates the maintenance configuration of the Managed Service for Apache Flink application

Examples

## Not run: 
svc <- kinesisanalyticsv2()
svc$add_application_cloud_watch_logging_option(
  Foo = 123
)

## End(Not run)

Amazon Mechanical Turk

Description

Amazon Mechanical Turk API Reference

Usage

mturk(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- mturk(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

accept_qualification_request The AcceptQualificationRequest operation approves a Worker's request for a Qualification
approve_assignment The ApproveAssignment operation approves the results of a completed assignment
associate_qualification_with_worker The AssociateQualificationWithWorker operation gives a Worker a Qualification
create_additional_assignments_for_hit The CreateAdditionalAssignmentsForHIT operation increases the maximum number of assignments of an existing HIT
create_hit The CreateHIT operation creates a new Human Intelligence Task (HIT)
create_hit_type The CreateHITType operation creates a new HIT type
create_hit_with_hit_type The CreateHITWithHITType operation creates a new Human Intelligence Task (HIT) using an existing HITTypeID generated by the CreateHITType operation
create_qualification_type The CreateQualificationType operation creates a new Qualification type, which is represented by a QualificationType data structure
create_worker_block The CreateWorkerBlock operation allows you to prevent a Worker from working on your HITs
delete_hit The DeleteHIT operation is used to delete HIT that is no longer needed
delete_qualification_type The DeleteQualificationType deletes a Qualification type and deletes any HIT types that are associated with the Qualification type
delete_worker_block The DeleteWorkerBlock operation allows you to reinstate a blocked Worker to work on your HITs
disassociate_qualification_from_worker The DisassociateQualificationFromWorker revokes a previously granted Qualification from a user
get_account_balance The GetAccountBalance operation retrieves the Prepaid HITs balance in your Amazon Mechanical Turk account if you are a Prepaid Requester
get_assignment The GetAssignment operation retrieves the details of the specified Assignment
get_file_upload_url The GetFileUploadURL operation generates and returns a temporary URL
get_hit The GetHIT operation retrieves the details of the specified HIT
get_qualification_score The GetQualificationScore operation returns the value of a Worker's Qualification for a given Qualification type
get_qualification_type The GetQualificationTypeoperation retrieves information about a Qualification type using its ID
list_assignments_for_hit The ListAssignmentsForHIT operation retrieves completed assignments for a HIT
list_bonus_payments The ListBonusPayments operation retrieves the amounts of bonuses you have paid to Workers for a given HIT or assignment
list_hi_ts The ListHITs operation returns all of a Requester's HITs
list_hi_ts_for_qualification_type The ListHITsForQualificationType operation returns the HITs that use the given Qualification type for a Qualification requirement
list_qualification_requests The ListQualificationRequests operation retrieves requests for Qualifications of a particular Qualification type
list_qualification_types The ListQualificationTypes operation returns a list of Qualification types, filtered by an optional search term
list_reviewable_hi_ts The ListReviewableHITs operation retrieves the HITs with Status equal to Reviewable or Status equal to Reviewing that belong to the Requester calling the operation
list_review_policy_results_for_hit The ListReviewPolicyResultsForHIT operation retrieves the computed results and the actions taken in the course of executing your Review Policies for a given HIT
list_worker_blocks The ListWorkersBlocks operation retrieves a list of Workers who are blocked from working on your HITs
list_workers_with_qualification_type The ListWorkersWithQualificationType operation returns all of the Workers that have been associated with a given Qualification type
notify_workers The NotifyWorkers operation sends an email to one or more Workers that you specify with the Worker ID
reject_assignment The RejectAssignment operation rejects the results of a completed assignment
reject_qualification_request The RejectQualificationRequest operation rejects a user's request for a Qualification
send_bonus The SendBonus operation issues a payment of money from your account to a Worker
send_test_event_notification The SendTestEventNotification operation causes Amazon Mechanical Turk to send a notification message as if a HIT event occurred, according to the provided notification specification
update_expiration_for_hit The UpdateExpirationForHIT operation allows you update the expiration time of a HIT
update_hit_review_status The UpdateHITReviewStatus operation updates the status of a HIT
update_hit_type_of_hit The UpdateHITTypeOfHIT operation allows you to change the HITType properties of a HIT
update_notification_settings The UpdateNotificationSettings operation creates, updates, disables or re-enables notifications for a HIT type
update_qualification_type The UpdateQualificationType operation modifies the attributes of an existing Qualification type, which is represented by a QualificationType data structure

Examples

## Not run: 
svc <- mturk()
svc$accept_qualification_request(
  Foo = 123
)

## End(Not run)

Amazon OpenSearch Ingestion

Description

Use the Amazon OpenSearch Ingestion API to create and manage ingestion pipelines. OpenSearch Ingestion is a fully managed data collector that delivers real-time log and trace data to OpenSearch Service domains. For more information, see Getting data into your cluster using OpenSearch Ingestion.

Usage

opensearchingestion(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- opensearchingestion(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

create_pipeline Creates an OpenSearch Ingestion pipeline
delete_pipeline Deletes an OpenSearch Ingestion pipeline
get_pipeline Retrieves information about an OpenSearch Ingestion pipeline
get_pipeline_blueprint Retrieves information about a specific blueprint for OpenSearch Ingestion
get_pipeline_change_progress Returns progress information for the current change happening on an OpenSearch Ingestion pipeline
list_pipeline_blueprints Retrieves a list of all available blueprints for Data Prepper
list_pipelines Lists all OpenSearch Ingestion pipelines in the current Amazon Web Services account and Region
list_tags_for_resource Lists all resource tags associated with an OpenSearch Ingestion pipeline
start_pipeline Starts an OpenSearch Ingestion pipeline
stop_pipeline Stops an OpenSearch Ingestion pipeline
tag_resource Tags an OpenSearch Ingestion pipeline
untag_resource Removes one or more tags from an OpenSearch Ingestion pipeline
update_pipeline Updates an OpenSearch Ingestion pipeline
validate_pipeline Checks whether an OpenSearch Ingestion pipeline configuration is valid prior to creation

Examples

## Not run: 
svc <- opensearchingestion()
svc$create_pipeline(
  Foo = 123
)

## End(Not run)

Amazon OpenSearch Service

Description

Use the Amazon OpenSearch Service configuration API to create, configure, and manage OpenSearch Service domains. The endpoint for configuration service requests is Region specific: es.region.amazonaws.com. For example, es.us-east-1.amazonaws.com. For a current list of supported Regions and endpoints, see Amazon Web Services service endpoints.

Usage

opensearchservice(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- opensearchservice(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

accept_inbound_connection Allows the destination Amazon OpenSearch Service domain owner to accept an inbound cross-cluster search connection request
add_data_source Creates a new direct-query data source to the specified domain
add_tags Attaches tags to an existing Amazon OpenSearch Service domain
associate_package Associates a package with an Amazon OpenSearch Service domain
authorize_vpc_endpoint_access Provides access to an Amazon OpenSearch Service domain through the use of an interface VPC endpoint
cancel_domain_config_change Cancels a pending configuration change on an Amazon OpenSearch Service domain
cancel_service_software_update Cancels a scheduled service software update for an Amazon OpenSearch Service domain
create_domain Creates an Amazon OpenSearch Service domain
create_outbound_connection Creates a new cross-cluster search connection from a source Amazon OpenSearch Service domain to a destination domain
create_package Creates a package for use with Amazon OpenSearch Service domains
create_vpc_endpoint Creates an Amazon OpenSearch Service-managed VPC endpoint
delete_data_source Deletes a direct-query data source
delete_domain Deletes an Amazon OpenSearch Service domain and all of its data
delete_inbound_connection Allows the destination Amazon OpenSearch Service domain owner to delete an existing inbound cross-cluster search connection
delete_outbound_connection Allows the source Amazon OpenSearch Service domain owner to delete an existing outbound cross-cluster search connection
delete_package Deletes an Amazon OpenSearch Service package
delete_vpc_endpoint Deletes an Amazon OpenSearch Service-managed interface VPC endpoint
describe_domain Describes the domain configuration for the specified Amazon OpenSearch Service domain, including the domain ID, domain service endpoint, and domain ARN
describe_domain_auto_tunes Returns the list of optimizations that Auto-Tune has made to an Amazon OpenSearch Service domain
describe_domain_change_progress Returns information about the current blue/green deployment happening on an Amazon OpenSearch Service domain
describe_domain_config Returns the configuration of an Amazon OpenSearch Service domain
describe_domain_health Returns information about domain and node health, the standby Availability Zone, number of nodes per Availability Zone, and shard count per node
describe_domain_nodes Returns information about domain and nodes, including data nodes, master nodes, ultrawarm nodes, Availability Zone(s), standby nodes, node configurations, and node states
describe_domains Returns domain configuration information about the specified Amazon OpenSearch Service domains
describe_dry_run_progress Describes the progress of a pre-update dry run analysis on an Amazon OpenSearch Service domain
describe_inbound_connections Lists all the inbound cross-cluster search connections for a destination (remote) Amazon OpenSearch Service domain
describe_instance_type_limits Describes the instance count, storage, and master node limits for a given OpenSearch or Elasticsearch version and instance type
describe_outbound_connections Lists all the outbound cross-cluster connections for a local (source) Amazon OpenSearch Service domain
describe_packages Describes all packages available to OpenSearch Service
describe_reserved_instance_offerings Describes the available Amazon OpenSearch Service Reserved Instance offerings for a given Region
describe_reserved_instances Describes the Amazon OpenSearch Service instances that you have reserved in a given Region
describe_vpc_endpoints Describes one or more Amazon OpenSearch Service-managed VPC endpoints
dissociate_package Removes a package from the specified Amazon OpenSearch Service domain
get_compatible_versions Returns a map of OpenSearch or Elasticsearch versions and the versions you can upgrade them to
get_data_source Retrieves information about a direct query data source
get_domain_maintenance_status The status of the maintenance action
get_package_version_history Returns a list of Amazon OpenSearch Service package versions, along with their creation time, commit message, and plugin properties (if the package is a zip plugin package)
get_upgrade_history Retrieves the complete history of the last 10 upgrades performed on an Amazon OpenSearch Service domain
get_upgrade_status Returns the most recent status of the last upgrade or upgrade eligibility check performed on an Amazon OpenSearch Service domain
list_data_sources Lists direct-query data sources for a specific domain
list_domain_maintenances A list of maintenance actions for the domain
list_domain_names Returns the names of all Amazon OpenSearch Service domains owned by the current user in the active Region
list_domains_for_package Lists all Amazon OpenSearch Service domains associated with a given package
list_instance_type_details Lists all instance types and available features for a given OpenSearch or Elasticsearch version
list_packages_for_domain Lists all packages associated with an Amazon OpenSearch Service domain
list_scheduled_actions Retrieves a list of configuration changes that are scheduled for a domain
list_tags Returns all resource tags for an Amazon OpenSearch Service domain
list_versions Lists all versions of OpenSearch and Elasticsearch that Amazon OpenSearch Service supports
list_vpc_endpoint_access Retrieves information about each Amazon Web Services principal that is allowed to access a given Amazon OpenSearch Service domain through the use of an interface VPC endpoint
list_vpc_endpoints Retrieves all Amazon OpenSearch Service-managed VPC endpoints in the current Amazon Web Services account and Region
list_vpc_endpoints_for_domain Retrieves all Amazon OpenSearch Service-managed VPC endpoints associated with a particular domain
purchase_reserved_instance_offering Allows you to purchase Amazon OpenSearch Service Reserved Instances
reject_inbound_connection Allows the remote Amazon OpenSearch Service domain owner to reject an inbound cross-cluster connection request
remove_tags Removes the specified set of tags from an Amazon OpenSearch Service domain
revoke_vpc_endpoint_access Revokes access to an Amazon OpenSearch Service domain that was provided through an interface VPC endpoint
start_domain_maintenance Starts the node maintenance process on the data node
start_service_software_update Schedules a service software update for an Amazon OpenSearch Service domain
update_data_source Updates a direct-query data source
update_domain_config Modifies the cluster configuration of the specified Amazon OpenSearch Service domain
update_package Updates a package for use with Amazon OpenSearch Service domains
update_scheduled_action Reschedules a planned domain configuration change for a later time
update_vpc_endpoint Modifies an Amazon OpenSearch Service-managed interface VPC endpoint
upgrade_domain Allows you to either upgrade your Amazon OpenSearch Service domain or perform an upgrade eligibility check to a compatible version of OpenSearch or Elasticsearch

Examples

## Not run: 
svc <- opensearchservice()
svc$accept_inbound_connection(
  Foo = 123
)

## End(Not run)

OpenSearch Service Serverless

Description

Use the Amazon OpenSearch Serverless API to create, configure, and manage OpenSearch Serverless collections and security policies.

OpenSearch Serverless is an on-demand, pre-provisioned serverless configuration for Amazon OpenSearch Service. OpenSearch Serverless removes the operational complexities of provisioning, configuring, and tuning your OpenSearch clusters. It enables you to easily search and analyze petabytes of data without having to worry about the underlying infrastructure and data management.

To learn more about OpenSearch Serverless, see What is Amazon OpenSearch Serverless?

Usage

opensearchserviceserverless(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- opensearchserviceserverless(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

batch_get_collection Returns attributes for one or more collections, including the collection endpoint and the OpenSearch Dashboards endpoint
batch_get_effective_lifecycle_policy Returns a list of successful and failed retrievals for the OpenSearch Serverless indexes
batch_get_lifecycle_policy Returns one or more configured OpenSearch Serverless lifecycle policies
batch_get_vpc_endpoint Returns attributes for one or more VPC endpoints associated with the current account
create_access_policy Creates a data access policy for OpenSearch Serverless
create_collection Creates a new OpenSearch Serverless collection
create_lifecycle_policy Creates a lifecyle policy to be applied to OpenSearch Serverless indexes
create_security_config Specifies a security configuration for OpenSearch Serverless
create_security_policy Creates a security policy to be used by one or more OpenSearch Serverless collections
create_vpc_endpoint Creates an OpenSearch Serverless-managed interface VPC endpoint
delete_access_policy Deletes an OpenSearch Serverless access policy
delete_collection Deletes an OpenSearch Serverless collection
delete_lifecycle_policy Deletes an OpenSearch Serverless lifecycle policy
delete_security_config Deletes a security configuration for OpenSearch Serverless
delete_security_policy Deletes an OpenSearch Serverless security policy
delete_vpc_endpoint Deletes an OpenSearch Serverless-managed interface endpoint
get_access_policy Returns an OpenSearch Serverless access policy
get_account_settings Returns account-level settings related to OpenSearch Serverless
get_policies_stats Returns statistical information about your OpenSearch Serverless access policies, security configurations, and security policies
get_security_config Returns information about an OpenSearch Serverless security configuration
get_security_policy Returns information about a configured OpenSearch Serverless security policy
list_access_policies Returns information about a list of OpenSearch Serverless access policies
list_collections Lists all OpenSearch Serverless collections
list_lifecycle_policies Returns a list of OpenSearch Serverless lifecycle policies
list_security_configs Returns information about configured OpenSearch Serverless security configurations
list_security_policies Returns information about configured OpenSearch Serverless security policies
list_tags_for_resource Returns the tags for an OpenSearch Serverless resource
list_vpc_endpoints Returns the OpenSearch Serverless-managed interface VPC endpoints associated with the current account
tag_resource Associates tags with an OpenSearch Serverless resource
untag_resource Removes a tag or set of tags from an OpenSearch Serverless resource
update_access_policy Updates an OpenSearch Serverless access policy
update_account_settings Update the OpenSearch Serverless settings for the current Amazon Web Services account
update_collection Updates an OpenSearch Serverless collection
update_lifecycle_policy Updates an OpenSearch Serverless access policy
update_security_config Updates a security configuration for OpenSearch Serverless
update_security_policy Updates an OpenSearch Serverless security policy
update_vpc_endpoint Updates an OpenSearch Serverless-managed interface endpoint

Examples

## Not run: 
svc <- opensearchserviceserverless()
svc$batch_get_collection(
  Foo = 123
)

## End(Not run)

Amazon QuickSight

Description

Amazon QuickSight API Reference

Amazon QuickSight is a fully managed, serverless business intelligence service for the Amazon Web Services Cloud that makes it easy to extend data and insights to every user in your organization. This API reference contains documentation for a programming interface that you can use to manage Amazon QuickSight.

Usage

quicksight(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

  • credentials:

    • creds:

      • access_key_id: AWS access key ID

      • secret_access_key: AWS secret access key

      • session_token: AWS temporary session token

    • profile: The name of a profile to use. If not given, then the default profile is used.

    • anonymous: Set anonymous credentials.

  • endpoint: The complete URL to use for the constructed client.

  • region: The AWS Region used in instantiating the client.

  • close_connection: Immediately close all HTTP connections.

  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.

  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- quicksight(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

batch_create_topic_reviewed_answer Creates new reviewed answers for a Q Topic
batch_delete_topic_reviewed_answer Deletes reviewed answers for Q Topic
cancel_ingestion Cancels an ongoing ingestion of data into SPICE
create_account_customization Creates Amazon QuickSight customizations for the current Amazon Web Services Region
create_account_subscription Creates an Amazon QuickSight account, or subscribes to Amazon QuickSight Q
create_analysis Creates an analysis in Amazon QuickSight
create_dashboard Creates a dashboard from either a template or directly with a DashboardDefinition
create_data_set Creates a dataset
create_data_source Creates a data source
create_folder Creates an empty shared folder
create_folder_membership Adds an asset, such as a dashboard, analysis, or dataset into a folder
create_group Use the CreateGroup operation to create a group in Amazon QuickSight
create_group_membership Adds an Amazon QuickSight user to an Amazon QuickSight group
create_iam_policy_assignment Creates an assignment with one specified IAM policy, identified by its Amazon Resource Name (ARN)
create_ingestion Creates and starts a new SPICE ingestion for a dataset
create_namespace (Enterprise edition only) Creates a new namespace for you to use with Amazon QuickSight
create_refresh_schedule Creates a refresh schedule for a dataset
create_role_membership Use CreateRoleMembership to add an existing Amazon QuickSight group to an existing role
create_template Creates a template either from a TemplateDefinition or from an existing Amazon QuickSight analysis or template
create_template_alias Creates a template alias for a template
create_theme Creates a theme
create_theme_alias Creates a theme alias for a theme
create_topic Creates a new Q topic
create_topic_refresh_schedule Creates a topic refresh schedule
create_vpc_connection Creates a new VPC connection
delete_account_customization Deletes all Amazon QuickSight customizations in this Amazon Web Services Region for the specified Amazon Web Services account and Amazon QuickSight namespace
delete_account_subscription Use the DeleteAccountSubscription operation to delete an Amazon QuickSight account
delete_analysis Deletes an analysis from Amazon QuickSight
delete_dashboard Deletes a dashboard
delete_data_set Deletes a dataset
delete_data_set_refresh_properties Deletes the dataset refresh properties of the dataset
delete_data_source Deletes the data source permanently
delete_folder Deletes an empty folder
delete_folder_membership Removes an asset, such as a dashboard, analysis, or dataset, from a folder
delete_group Removes a user group from Amazon QuickSight
delete_group_membership Removes a user from a group so that the user is no longer a member of the group
delete_iam_policy_assignment Deletes an existing IAM policy assignment
delete_identity_propagation_config Deletes all access scopes and authorized targets that are associated with a service from the Amazon QuickSight IAM Identity Center application
delete_namespace Deletes a namespace and the users and groups that are associated with the namespace
delete_refresh_schedule Deletes a refresh schedule from a dataset
delete_role_custom_permission Removes custom permissions from the role
delete_role_membership Removes a group from a role
delete_template Deletes a template
delete_template_alias Deletes the item that the specified template alias points to
delete_theme Deletes a theme
delete_theme_alias Deletes the version of the theme that the specified theme alias points to
delete_topic Deletes a topic
delete_topic_refresh_schedule Deletes a topic refresh schedule
delete_user Deletes the Amazon QuickSight user that is associated with the identity of the IAM user or role that's making the call
delete_user_by_principal_id Deletes a user identified by its principal ID
delete_vpc_connection Deletes a VPC connection
describe_account_customization Describes the customizations associated with the provided Amazon Web Services account and Amazon Amazon QuickSight namespace in an Amazon Web Services Region
describe_account_settings Describes the settings that were used when your Amazon QuickSight subscription was first created in this Amazon Web Services account
describe_account_subscription Use the DescribeAccountSubscription operation to receive a description of an Amazon QuickSight account's subscription
describe_analysis Provides a summary of the metadata for an analysis
describe_analysis_definition Provides a detailed description of the definition of an analysis
describe_analysis_permissions Provides the read and write permissions for an analysis
describe_asset_bundle_export_job Describes an existing export job
describe_asset_bundle_import_job Describes an existing import job
describe_dashboard Provides a summary for a dashboard
describe_dashboard_definition Provides a detailed description of the definition of a dashboard
describe_dashboard_permissions Describes read and write permissions for a dashboard
describe_dashboard_snapshot_job Describes an existing snapshot job
describe_dashboard_snapshot_job_result Describes the result of an existing snapshot job that has finished running
describe_data_set Describes a dataset
describe_data_set_permissions Describes the permissions on a dataset
describe_data_set_refresh_properties Describes the refresh properties of a dataset
describe_data_source Describes a data source
describe_data_source_permissions Describes the resource permissions for a data source
describe_folder Describes a folder
describe_folder_permissions Describes permissions for a folder
describe_folder_resolved_permissions Describes the folder resolved permissions
describe_group Returns an Amazon QuickSight group's description and Amazon Resource Name (ARN)
describe_group_membership Use the DescribeGroupMembership operation to determine if a user is a member of the specified group
describe_iam_policy_assignment Describes an existing IAM policy assignment, as specified by the assignment name
describe_ingestion Describes a SPICE ingestion
describe_ip_restriction Provides a summary and status of IP rules
describe_key_registration Describes all customer managed key registrations in a Amazon QuickSight account
describe_namespace Describes the current namespace
describe_refresh_schedule Provides a summary of a refresh schedule
describe_role_custom_permission Describes all custom permissions that are mapped to a role
describe_template Describes a template's metadata
describe_template_alias Describes the template alias for a template
describe_template_definition Provides a detailed description of the definition of a template
describe_template_permissions Describes read and write permissions on a template
describe_theme Describes a theme
describe_theme_alias Describes the alias for a theme
describe_theme_permissions Describes the read and write permissions for a theme
describe_topic Describes a topic
describe_topic_permissions Describes the permissions of a topic
describe_topic_refresh Describes the status of a topic refresh
describe_topic_refresh_schedule Deletes a topic refresh schedule
describe_user Returns information about a user, given the user name
describe_vpc_connection Describes a VPC connection
generate_embed_url_for_anonymous_user Generates an embed URL that you can use to embed an Amazon QuickSight dashboard or visual in your website, without having to register any reader users
generate_embed_url_for_registered_user Generates an embed URL that you can use to embed an Amazon QuickSight experience in your website
get_dashboard_embed_url Generates a temporary session URL and authorization code(bearer token) that you can use to embed an Amazon QuickSight read-only dashboard in your website or application
get_session_embed_url Generates a session URL and authorization code that you can use to embed the Amazon Amazon QuickSight console in your web server code
list_analyses Lists Amazon QuickSight analyses that exist in the specified Amazon Web Services account
list_asset_bundle_export_jobs Lists all asset bundle export jobs that have been taken place in the last 14 days
list_asset_bundle_import_jobs Lists all asset bundle import jobs that have taken place in the last 14 days
list_dashboards Lists dashboards in an Amazon Web Services account
list_dashboard_versions Lists all the versions of the dashboards in the Amazon QuickSight subscription
list_data_sets Lists all of the datasets belonging to the current Amazon Web Services account in an Amazon Web Services Region
list_data_sources Lists data sources in current Amazon Web Services Region that belong to this Amazon Web Services account
list_folder_members List all assets (DASHBOARD, ANALYSIS, and DATASET) in a folder
list_folders Lists all folders in an account
list_group_memberships Lists member users in a group
list_groups Lists all user groups in Amazon QuickSight
list_iam_policy_assignments Lists the IAM policy assignments in the current Amazon QuickSight account
list_iam_policy_assignments_for_user Lists all of the IAM policy assignments, including the Amazon Resource Names (ARNs), for the IAM policies assigned to the specified user and group, or groups that the user belongs to
list_identity_propagation_configs Lists all services and authorized targets that the Amazon QuickSight IAM Identity Center application can access
list_ingestions Lists the history of SPICE ingestions for a dataset
list_namespaces Lists the namespaces for the specified Amazon Web Services account
list_refresh_schedules Lists the refresh schedules of a dataset
list_role_memberships Lists all groups that are associated with a role
list_tags_for_resource Lists the tags assigned to a resource
list_template_aliases Lists all the aliases of a template
list_templates Lists all the templates in the current Amazon QuickSight account
list_template_versions Lists all the versions of the templates in the current Amazon QuickSight account
list_theme_aliases Lists all the aliases of a theme
list_themes Lists all the themes in the current Amazon Web Services account
list_theme_versions Lists all the versions of the themes in the current Amazon Web Services account
list_topic_refresh_schedules Lists all of the refresh schedules for a topic
list_topic_reviewed_answers Lists all reviewed answers for a Q Topic
list_topics Lists all of the topics within an account
list_user_groups Lists the Amazon QuickSight groups that an Amazon QuickSight user is a member of
list_users Returns a list of all of the Amazon QuickSight users belonging to this account
list_vpc_connections Lists all of the VPC connections in the current set Amazon Web Services Region of an Amazon Web Services account
put_data_set_refresh_properties Creates or updates the dataset refresh properties for the dataset
register_user Creates an Amazon QuickSight user whose identity is associated with the Identity and Access Management (IAM) identity or role specified in the request
restore_analysis Restores an analysis
search_analyses Searches for analyses that belong to the user specified in the filter
search_dashboards Searches for dashboards that belong to a user
search_data_sets Use the SearchDataSets operation to search for datasets that belong to an account
search_data_sources Use the SearchDataSources operation to search for data sources that belong to an account
search_folders Searches the subfolders in a folder
search_groups Use the SearchGroups operation to search groups in a specified Amazon QuickSight namespace using the supplied filters
start_asset_bundle_export_job Starts an Asset Bundle export job
start_asset_bundle_import_job Starts an Asset Bundle import job
start_dashboard_snapshot_job Starts an asynchronous job that generates a snapshot of a dashboard's output
tag_resource Assigns one or more tags (key-value pairs) to the specified Amazon QuickSight resource
untag_resource Removes a tag or tags from a resource
update_account_customization Updates Amazon QuickSight customizations for the current Amazon Web Services Region
update_account_settings Updates the Amazon QuickSight settings in your Amazon Web Services account
update_analysis Updates an analysis in Amazon QuickSight
update_analysis_permissions Updates the read and write permissions for an analysis
update_dashboard Updates a dashboard in an Amazon Web Services account
update_dashboard_links Updates the linked analyses on a dashboard
update_dashboard_permissions Updates read and write permissions on a dashboard
update_dashboard_published_version Updates the published version of a dashboard
update_data_set Updates a dataset
update_data_set_permissions Updates the permissions on a dataset
update_data_source Updates a data source
update_data_source_permissions Updates the permissions to a data source
update_folder Updates the name of a folder
update_folder_permissions Updates permissions of a folder
update_group Changes a group description
update_iam_policy_assignment Updates an existing IAM policy assignment
update_identity_propagation_config Adds or updates services and authorized targets to configure what the Amazon QuickSight IAM Identity Center application can access
update_ip_restriction Updates the content and status of IP rules
update_key_registration Updates a customer managed key in a Amazon QuickSight account
update_public_sharing_settings Use the UpdatePublicSharingSettings operation to turn on or turn off the public sharing settings of an Amazon QuickSight dashboard
update_refresh_schedule Updates a refresh schedule for a dataset
update_role_custom_permission Updates the custom permissions that are associated with a role
update_spice_capacity_configuration Updates the SPICE capacity configuration for a Amazon QuickSight account
update_template Updates a template from an existing Amazon QuickSight analysis or another template
update_template_alias Updates the template alias of a template
update_template_permissions Updates the resource permissions for a template
update_theme Updates a theme
update_theme_alias Updates an alias of a theme
update_theme_permissions Updates the resource permissions for a theme
update_topic Updates a topic
update_topic_permissions Updates the permissions of a topic
update_topic_refresh_schedule Updates a topic refresh schedule
update_user Updates an Amazon QuickSight user
update_vpc_connection Updates a VPC connection

Examples

## Not run: 
svc <- quicksight()
svc$batch_create_topic_reviewed_answer(
  Foo = 123
)

## End(Not run)