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Class: Aws::Appflow::Client

Inherits:
Seahorse::Client::Base show all
Defined in:
(unknown)

Overview

An API client for Amazon Appflow. To construct a client, you need to configure a :region and :credentials.

appflow = Aws::Appflow::Client.new(
  region: region_name,
  credentials: credentials,
  # ...
)

See #initialize for a full list of supported configuration options.

Region

You can configure a default region in the following locations:

  • ENV['AWS_REGION']
  • Aws.config[:region]

Go here for a list of supported regions.

Credentials

Default credentials are loaded automatically from the following locations:

  • ENV['AWS_ACCESS_KEY_ID'] and ENV['AWS_SECRET_ACCESS_KEY']
  • Aws.config[:credentials]
  • The shared credentials ini file at ~/.aws/credentials (more information)
  • From an instance profile when running on EC2

You can also construct a credentials object from one of the following classes:

Alternatively, you configure credentials with :access_key_id and :secret_access_key:

# load credentials from disk
creds = YAML.load(File.read('/path/to/secrets'))

Aws::Appflow::Client.new(
  access_key_id: creds['access_key_id'],
  secret_access_key: creds['secret_access_key']
)

Always load your credentials from outside your application. Avoid configuring credentials statically and never commit them to source control.

Instance Attribute Summary

Attributes inherited from Seahorse::Client::Base

#config, #handlers

Constructor collapse

API Operations collapse

Instance Method Summary collapse

Methods inherited from Seahorse::Client::Base

add_plugin, api, #build_request, clear_plugins, define, new, #operation, #operation_names, plugins, remove_plugin, set_api, set_plugins

Methods included from Seahorse::Client::HandlerBuilder

#handle, #handle_request, #handle_response

Constructor Details

#initialize(options = {}) ⇒ Aws::Appflow::Client

Constructs an API client.

Options Hash (options):

  • :access_key_id (String)

    Used to set credentials statically. See Plugins::RequestSigner for more details.

  • :active_endpoint_cache (Boolean)

    When set to true, a thread polling for endpoints will be running in the background every 60 secs (default). Defaults to false. See Plugins::EndpointDiscovery for more details.

  • :convert_params (Boolean) — default: true

    When true, an attempt is made to coerce request parameters into the required types. See Plugins::ParamConverter for more details.

  • :credentials (required, Credentials)

    Your AWS credentials. The following locations will be searched in order for credentials:

    • :access_key_id, :secret_access_key, and :session_token options
    • ENV['AWS_ACCESS_KEY_ID'], ENV['AWS_SECRET_ACCESS_KEY']
    • HOME/.aws/credentials shared credentials file
    • EC2 instance profile credentials See Plugins::RequestSigner for more details.
  • :disable_host_prefix_injection (Boolean)

    Set to true to disable SDK automatically adding host prefix to default service endpoint when available. See Plugins::EndpointPattern for more details.

  • :endpoint (String)

    A default endpoint is constructed from the :region. See Plugins::RegionalEndpoint for more details.

  • :endpoint_cache_max_entries (Integer)

    Used for the maximum size limit of the LRU cache storing endpoints data for endpoint discovery enabled operations. Defaults to 1000. See Plugins::EndpointDiscovery for more details.

  • :endpoint_cache_max_threads (Integer)

    Used for the maximum threads in use for polling endpoints to be cached, defaults to 10. See Plugins::EndpointDiscovery for more details.

  • :endpoint_cache_poll_interval (Integer)

    When :endpoint_discovery and :active_endpoint_cache is enabled, Use this option to config the time interval in seconds for making requests fetching endpoints information. Defaults to 60 sec. See Plugins::EndpointDiscovery for more details.

  • :endpoint_discovery (Boolean)

    When set to true, endpoint discovery will be enabled for operations when available. Defaults to false. See Plugins::EndpointDiscovery for more details.

  • :http_continue_timeout (Float) — default: 1

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :http_idle_timeout (Integer) — default: 5

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :http_open_timeout (Integer) — default: 15

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :http_proxy (String)

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :http_read_timeout (Integer) — default: 60

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :http_wire_trace (Boolean) — default: false

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :log_level (Symbol) — default: :info

    The log level to send messages to the logger at. See Plugins::Logging for more details.

  • :log_formatter (Logging::LogFormatter)

    The log formatter. Defaults to Seahorse::Client::Logging::Formatter.default. See Plugins::Logging for more details.

  • :logger (Logger) — default: nil

    The Logger instance to send log messages to. If this option is not set, logging will be disabled. See Plugins::Logging for more details.

  • :profile (String)

    Used when loading credentials from the shared credentials file at HOME/.aws/credentials. When not specified, 'default' is used. See Plugins::RequestSigner for more details.

  • :raise_response_errors (Boolean) — default: true

    When true, response errors are raised. See Seahorse::Client::Plugins::RaiseResponseErrors for more details.

  • :region (required, String)

    The AWS region to connect to. The region is used to construct the client endpoint. Defaults to ENV['AWS_REGION']. Also checks AMAZON_REGION and AWS_DEFAULT_REGION. See Plugins::RegionalEndpoint for more details.

  • :retry_limit (Integer) — default: 3

    The maximum number of times to retry failed requests. Only ~ 500 level server errors and certain ~ 400 level client errors are retried. Generally, these are throttling errors, data checksum errors, networking errors, timeout errors and auth errors from expired credentials. See Plugins::RetryErrors for more details.

  • :secret_access_key (String)

    Used to set credentials statically. See Plugins::RequestSigner for more details.

  • :session_token (String)

    Used to set credentials statically. See Plugins::RequestSigner for more details.

  • :ssl_ca_bundle (String)

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :ssl_ca_directory (String)

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :ssl_ca_store (String)

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :ssl_verify_peer (Boolean) — default: true

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :stub_responses (Boolean) — default: false

    Causes the client to return stubbed responses. By default fake responses are generated and returned. You can specify the response data to return or errors to raise by calling ClientStubs#stub_responses. See ClientStubs for more information.

    Please note When response stubbing is enabled, no HTTP requests are made, and retries are disabled. See Plugins::StubResponses for more details.

  • :validate_params (Boolean) — default: true

    When true, request parameters are validated before sending the request. See Plugins::ParamValidator for more details.

Instance Method Details

#create_connector_profile(options = {}) ⇒ Types::CreateConnectorProfileResponse

Creates a new connector profile associated with your AWS account. There is a soft quota of 100 connector profiles per AWS account. If you need more connector profiles than this quota allows, you can submit a request to the Amazon AppFlow team through the Amazon AppFlow support channel.

Examples:

Request syntax with placeholder values


resp = client.create_connector_profile({
  connector_profile_name: "ConnectorProfileName", # required
  kms_arn: "KMSArn",
  connector_type: "Salesforce", # required, accepts Salesforce, Singular, Slack, Redshift, S3, Marketo, Googleanalytics, Zendesk, Servicenow, Datadog, Trendmicro, Snowflake, Dynatrace, Infornexus, Amplitude, Veeva, EventBridge
  connection_mode: "Public", # required, accepts Public, Private
  connector_profile_config: { # required
    connector_profile_properties: { # required
      amplitude: {
      },
      datadog: {
        instance_url: "InstanceUrl", # required
      },
      dynatrace: {
        instance_url: "InstanceUrl", # required
      },
      google_analytics: {
      },
      infor_nexus: {
        instance_url: "InstanceUrl", # required
      },
      marketo: {
        instance_url: "InstanceUrl", # required
      },
      redshift: {
        database_url: "DatabaseUrl", # required
        bucket_name: "BucketName", # required
        bucket_prefix: "BucketPrefix",
        role_arn: "RoleArn", # required
      },
      salesforce: {
        instance_url: "InstanceUrl",
        is_sandbox_environment: false,
      },
      service_now: {
        instance_url: "InstanceUrl", # required
      },
      singular: {
      },
      slack: {
        instance_url: "InstanceUrl", # required
      },
      snowflake: {
        warehouse: "Warehouse", # required
        stage: "Stage", # required
        bucket_name: "BucketName", # required
        bucket_prefix: "BucketPrefix",
        private_link_service_name: "PrivateLinkServiceName",
        account_name: "AccountName",
        region: "Region",
      },
      trendmicro: {
      },
      veeva: {
        instance_url: "InstanceUrl", # required
      },
      zendesk: {
        instance_url: "InstanceUrl", # required
      },
    },
    connector_profile_credentials: { # required
      amplitude: {
        api_key: "ApiKey", # required
        secret_key: "SecretKey", # required
      },
      datadog: {
        api_key: "ApiKey", # required
        application_key: "ApplicationKey", # required
      },
      dynatrace: {
        api_token: "ApiToken", # required
      },
      google_analytics: {
        client_id: "ClientId", # required
        client_secret: "ClientSecret", # required
        access_token: "AccessToken",
        refresh_token: "RefreshToken",
        o_auth_request: {
          auth_code: "AuthCode",
          redirect_uri: "RedirectUri",
        },
      },
      infor_nexus: {
        access_key_id: "AccessKeyId", # required
        user_id: "Username", # required
        secret_access_key: "Key", # required
        datakey: "Key", # required
      },
      marketo: {
        client_id: "ClientId", # required
        client_secret: "ClientSecret", # required
        access_token: "AccessToken",
        o_auth_request: {
          auth_code: "AuthCode",
          redirect_uri: "RedirectUri",
        },
      },
      redshift: {
        username: "Username", # required
        password: "Password", # required
      },
      salesforce: {
        access_token: "AccessToken",
        refresh_token: "RefreshToken",
        o_auth_request: {
          auth_code: "AuthCode",
          redirect_uri: "RedirectUri",
        },
        client_credentials_arn: "ClientCredentialsArn",
      },
      service_now: {
        username: "Username", # required
        password: "Password", # required
      },
      singular: {
        api_key: "ApiKey", # required
      },
      slack: {
        client_id: "ClientId", # required
        client_secret: "ClientSecret", # required
        access_token: "AccessToken",
        o_auth_request: {
          auth_code: "AuthCode",
          redirect_uri: "RedirectUri",
        },
      },
      snowflake: {
        username: "Username", # required
        password: "Password", # required
      },
      trendmicro: {
        api_secret_key: "ApiSecretKey", # required
      },
      veeva: {
        username: "Username", # required
        password: "Password", # required
      },
      zendesk: {
        client_id: "ClientId", # required
        client_secret: "ClientSecret", # required
        access_token: "AccessToken",
        o_auth_request: {
          auth_code: "AuthCode",
          redirect_uri: "RedirectUri",
        },
      },
    },
  },
})

Response structure


resp.connector_profile_arn #=> String

Options Hash (options):

  • :connector_profile_name (required, String)

    The name of the connector profile. The name is unique for each ConnectorProfile in your AWS account.

  • :kms_arn (String)

    The ARN (Amazon Resource Name) of the Key Management Service (KMS) key you provide for encryption. This is required if you do not want to use the Amazon AppFlow-managed KMS key. If you don\'t provide anything here, Amazon AppFlow uses the Amazon AppFlow-managed KMS key.

  • :connector_type (required, String)

    The type of connector, such as Salesforce, Amplitude, and so on.

  • :connection_mode (required, String)

    Indicates the connection mode and specifies whether it is public or private. Private flows use AWS PrivateLink to route data over AWS infrastructure without exposing it to the public internet.

  • :connector_profile_config (required, Types::ConnectorProfileConfig)

    Defines the connector-specific configuration and credentials.

Returns:

See Also:

#create_flow(options = {}) ⇒ Types::CreateFlowResponse

Enables your application to create a new flow using Amazon AppFlow. You must create a connector profile before calling this API. Please note that the Request Syntax below shows syntax for multiple destinations, however, you can only transfer data to one item in this list at a time. Amazon AppFlow does not currently support flows to multiple destinations at once.

Examples:

Request syntax with placeholder values


resp = client.create_flow({
  flow_name: "FlowName", # required
  description: "FlowDescription",
  kms_arn: "KMSArn",
  trigger_config: { # required
    trigger_type: "Scheduled", # required, accepts Scheduled, Event, OnDemand
    trigger_properties: {
      scheduled: {
        schedule_expression: "ScheduleExpression", # required
        data_pull_mode: "Incremental", # accepts Incremental, Complete
        schedule_start_time: Time.now,
        schedule_end_time: Time.now,
        timezone: "Timezone",
      },
    },
  },
  source_flow_config: { # required
    connector_type: "Salesforce", # required, accepts Salesforce, Singular, Slack, Redshift, S3, Marketo, Googleanalytics, Zendesk, Servicenow, Datadog, Trendmicro, Snowflake, Dynatrace, Infornexus, Amplitude, Veeva, EventBridge
    connector_profile_name: "ConnectorProfileName",
    source_connector_properties: { # required
      amplitude: {
        object: "Object", # required
      },
      datadog: {
        object: "Object", # required
      },
      dynatrace: {
        object: "Object", # required
      },
      google_analytics: {
        object: "Object", # required
      },
      infor_nexus: {
        object: "Object", # required
      },
      marketo: {
        object: "Object", # required
      },
      s3: {
        bucket_name: "BucketName", # required
        bucket_prefix: "BucketPrefix",
      },
      salesforce: {
        object: "Object", # required
        enable_dynamic_field_update: false,
        include_deleted_records: false,
      },
      service_now: {
        object: "Object", # required
      },
      singular: {
        object: "Object", # required
      },
      slack: {
        object: "Object", # required
      },
      trendmicro: {
        object: "Object", # required
      },
      veeva: {
        object: "Object", # required
      },
      zendesk: {
        object: "Object", # required
      },
    },
    incremental_pull_config: {
      datetime_type_field_name: "DatetimeTypeFieldName",
    },
  },
  destination_flow_config_list: [ # required
    {
      connector_type: "Salesforce", # required, accepts Salesforce, Singular, Slack, Redshift, S3, Marketo, Googleanalytics, Zendesk, Servicenow, Datadog, Trendmicro, Snowflake, Dynatrace, Infornexus, Amplitude, Veeva, EventBridge
      connector_profile_name: "ConnectorProfileName",
      destination_connector_properties: { # required
        redshift: {
          object: "Object", # required
          intermediate_bucket_name: "BucketName", # required
          bucket_prefix: "BucketPrefix",
          error_handling_config: {
            fail_on_first_destination_error: false,
            bucket_prefix: "BucketPrefix",
            bucket_name: "BucketName",
          },
        },
        s3: {
          bucket_name: "BucketName", # required
          bucket_prefix: "BucketPrefix",
          s3_output_format_config: {
            file_type: "CSV", # accepts CSV, JSON, PARQUET
            prefix_config: {
              prefix_type: "FILENAME", # accepts FILENAME, PATH, PATH_AND_FILENAME
              prefix_format: "YEAR", # accepts YEAR, MONTH, DAY, HOUR, MINUTE
            },
            aggregation_config: {
              aggregation_type: "None", # accepts None, SingleFile
            },
          },
        },
        salesforce: {
          object: "Object", # required
          id_field_names: ["Name"],
          error_handling_config: {
            fail_on_first_destination_error: false,
            bucket_prefix: "BucketPrefix",
            bucket_name: "BucketName",
          },
          write_operation_type: "INSERT", # accepts INSERT, UPSERT, UPDATE
        },
        snowflake: {
          object: "Object", # required
          intermediate_bucket_name: "BucketName", # required
          bucket_prefix: "BucketPrefix",
          error_handling_config: {
            fail_on_first_destination_error: false,
            bucket_prefix: "BucketPrefix",
            bucket_name: "BucketName",
          },
        },
        event_bridge: {
          object: "Object", # required
          error_handling_config: {
            fail_on_first_destination_error: false,
            bucket_prefix: "BucketPrefix",
            bucket_name: "BucketName",
          },
        },
      },
    },
  ],
  tasks: [ # required
    {
      source_fields: ["String"], # required
      connector_operator: {
        amplitude: "BETWEEN", # accepts BETWEEN
        datadog: "PROJECTION", # accepts PROJECTION, BETWEEN, EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        dynatrace: "PROJECTION", # accepts PROJECTION, BETWEEN, EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        google_analytics: "PROJECTION", # accepts PROJECTION, BETWEEN
        infor_nexus: "PROJECTION", # accepts PROJECTION, BETWEEN, EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        marketo: "PROJECTION", # accepts PROJECTION, LESS_THAN, GREATER_THAN, BETWEEN, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        s3: "PROJECTION", # accepts PROJECTION, LESS_THAN, GREATER_THAN, BETWEEN, LESS_THAN_OR_EQUAL_TO, GREATER_THAN_OR_EQUAL_TO, EQUAL_TO, NOT_EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        salesforce: "PROJECTION", # accepts PROJECTION, LESS_THAN, CONTAINS, GREATER_THAN, BETWEEN, LESS_THAN_OR_EQUAL_TO, GREATER_THAN_OR_EQUAL_TO, EQUAL_TO, NOT_EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        service_now: "PROJECTION", # accepts PROJECTION, CONTAINS, LESS_THAN, GREATER_THAN, BETWEEN, LESS_THAN_OR_EQUAL_TO, GREATER_THAN_OR_EQUAL_TO, EQUAL_TO, NOT_EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        singular: "PROJECTION", # accepts PROJECTION, EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        slack: "PROJECTION", # accepts PROJECTION, LESS_THAN, GREATER_THAN, BETWEEN, LESS_THAN_OR_EQUAL_TO, GREATER_THAN_OR_EQUAL_TO, EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        trendmicro: "PROJECTION", # accepts PROJECTION, EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        veeva: "PROJECTION", # accepts PROJECTION, LESS_THAN, GREATER_THAN, CONTAINS, BETWEEN, LESS_THAN_OR_EQUAL_TO, GREATER_THAN_OR_EQUAL_TO, EQUAL_TO, NOT_EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        zendesk: "PROJECTION", # accepts PROJECTION, GREATER_THAN, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
      },
      destination_field: "DestinationField",
      task_type: "Arithmetic", # required, accepts Arithmetic, Filter, Map, Mask, Merge, Truncate, Validate
      task_properties: {
        "VALUE" => "Property",
      },
    },
  ],
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure


resp.flow_arn #=> String
resp.flow_status #=> String, one of "Active", "Deprecated", "Deleted", "Draft", "Errored", "Suspended"

Options Hash (options):

  • :flow_name (required, String)

    The specified name of the flow. Spaces are not allowed. Use underscores (_) or hyphens (-) only.

  • :description (String)

    A description of the flow you want to create.

  • :kms_arn (String)

    The ARN (Amazon Resource Name) of the Key Management Service (KMS) key you provide for encryption. This is required if you do not want to use the Amazon AppFlow-managed KMS key. If you don\'t provide anything here, Amazon AppFlow uses the Amazon AppFlow-managed KMS key.

  • :trigger_config (required, Types::TriggerConfig)

    The trigger settings that determine how and when the flow runs.

  • :source_flow_config (required, Types::SourceFlowConfig)

    The configuration that controls how Amazon AppFlow retrieves data from the source connector.

  • :destination_flow_config_list (required, Array<Types::DestinationFlowConfig>)

    The configuration that controls how Amazon AppFlow places data in the destination connector.

  • :tasks (required, Array<Types::Task>)

    A list of tasks that Amazon AppFlow performs while transferring the data in the flow run.

  • :tags (Hash<String,String>)

    The tags used to organize, track, or control access for your flow.

Returns:

See Also:

#delete_connector_profile(options = {}) ⇒ Struct

Enables you to delete an existing connector profile.

Examples:

Request syntax with placeholder values


resp = client.delete_connector_profile({
  connector_profile_name: "ConnectorProfileName", # required
  force_delete: false,
})

Options Hash (options):

  • :connector_profile_name (required, String)

    The name of the connector profile. The name is unique for each ConnectorProfile in your account.

  • :force_delete (Boolean)

    Indicates whether Amazon AppFlow should delete the profile, even if it is currently in use in one or more flows.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#delete_flow(options = {}) ⇒ Struct

Enables your application to delete an existing flow. Before deleting the flow, Amazon AppFlow validates the request by checking the flow configuration and status. You can delete flows one at a time.

Examples:

Request syntax with placeholder values


resp = client.delete_flow({
  flow_name: "FlowName", # required
  force_delete: false,
})

Options Hash (options):

  • :flow_name (required, String)

    The specified name of the flow. Spaces are not allowed. Use underscores (_) or hyphens (-) only.

  • :force_delete (Boolean)

    Indicates whether Amazon AppFlow should delete the flow, even if it is currently in use.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#describe_connector_entity(options = {}) ⇒ Types::DescribeConnectorEntityResponse

Provides details regarding the entity used with the connector, with a description of the data model for each entity.

Examples:

Request syntax with placeholder values


resp = client.describe_connector_entity({
  connector_entity_name: "Name", # required
  connector_type: "Salesforce", # accepts Salesforce, Singular, Slack, Redshift, S3, Marketo, Googleanalytics, Zendesk, Servicenow, Datadog, Trendmicro, Snowflake, Dynatrace, Infornexus, Amplitude, Veeva, EventBridge
  connector_profile_name: "ConnectorProfileName",
})

Response structure


resp.connector_entity_fields #=> Array
resp.connector_entity_fields[0].identifier #=> String
resp.connector_entity_fields[0].label #=> String
resp.connector_entity_fields[0].supported_field_type_details.v1.field_type #=> String
resp.connector_entity_fields[0].supported_field_type_details.v1.filter_operators #=> Array
resp.connector_entity_fields[0].supported_field_type_details.v1.filter_operators[0] #=> String, one of "PROJECTION", "LESS_THAN", "GREATER_THAN", "CONTAINS", "BETWEEN", "LESS_THAN_OR_EQUAL_TO", "GREATER_THAN_OR_EQUAL_TO", "EQUAL_TO", "NOT_EQUAL_TO", "ADDITION", "MULTIPLICATION", "DIVISION", "SUBTRACTION", "MASK_ALL", "MASK_FIRST_N", "MASK_LAST_N", "VALIDATE_NON_NULL", "VALIDATE_NON_ZERO", "VALIDATE_NON_NEGATIVE", "VALIDATE_NUMERIC", "NO_OP"
resp.connector_entity_fields[0].supported_field_type_details.v1.supported_values #=> Array
resp.connector_entity_fields[0].supported_field_type_details.v1.supported_values[0] #=> String
resp.connector_entity_fields[0].description #=> String
resp.connector_entity_fields[0].source_properties.is_retrievable #=> true/false
resp.connector_entity_fields[0].source_properties.is_queryable #=> true/false
resp.connector_entity_fields[0].destination_properties.is_creatable #=> true/false
resp.connector_entity_fields[0].destination_properties.is_nullable #=> true/false
resp.connector_entity_fields[0].destination_properties.is_upsertable #=> true/false
resp.connector_entity_fields[0].destination_properties.is_updatable #=> true/false
resp.connector_entity_fields[0].destination_properties.supported_write_operations #=> Array
resp.connector_entity_fields[0].destination_properties.supported_write_operations[0] #=> String, one of "INSERT", "UPSERT", "UPDATE"

Options Hash (options):

  • :connector_entity_name (required, String)

    The entity name for that connector.

  • :connector_type (String)

    The type of connector application, such as Salesforce, Amplitude, and so on.

  • :connector_profile_name (String)

    The name of the connector profile. The name is unique for each ConnectorProfile in the AWS account.

Returns:

See Also:

#describe_connector_profiles(options = {}) ⇒ Types::DescribeConnectorProfilesResponse

Returns a list of connector-profile details matching the provided connector-profile names and connector-types. Both input lists are optional, and you can use them to filter the result.

If no names or connector-types are provided, returns all connector profiles in a paginated form. If there is no match, this operation returns an empty list.

Examples:

Request syntax with placeholder values


resp = client.describe_connector_profiles({
  connector_profile_names: ["ConnectorProfileName"],
  connector_type: "Salesforce", # accepts Salesforce, Singular, Slack, Redshift, S3, Marketo, Googleanalytics, Zendesk, Servicenow, Datadog, Trendmicro, Snowflake, Dynatrace, Infornexus, Amplitude, Veeva, EventBridge
  max_results: 1,
  next_token: "NextToken",
})

Response structure


resp.connector_profile_details #=> Array
resp.connector_profile_details[0].connector_profile_arn #=> String
resp.connector_profile_details[0].connector_profile_name #=> String
resp.connector_profile_details[0].connector_type #=> String, one of "Salesforce", "Singular", "Slack", "Redshift", "S3", "Marketo", "Googleanalytics", "Zendesk", "Servicenow", "Datadog", "Trendmicro", "Snowflake", "Dynatrace", "Infornexus", "Amplitude", "Veeva", "EventBridge"
resp.connector_profile_details[0].connection_mode #=> String, one of "Public", "Private"
resp.connector_profile_details[0].credentials_arn #=> String
resp.connector_profile_details[0].connector_profile_properties.datadog.instance_url #=> String
resp.connector_profile_details[0].connector_profile_properties.dynatrace.instance_url #=> String
resp.connector_profile_details[0].connector_profile_properties.infor_nexus.instance_url #=> String
resp.connector_profile_details[0].connector_profile_properties.marketo.instance_url #=> String
resp.connector_profile_details[0].connector_profile_properties.redshift.database_url #=> String
resp.connector_profile_details[0].connector_profile_properties.redshift.bucket_name #=> String
resp.connector_profile_details[0].connector_profile_properties.redshift.bucket_prefix #=> String
resp.connector_profile_details[0].connector_profile_properties.redshift.role_arn #=> String
resp.connector_profile_details[0].connector_profile_properties.salesforce.instance_url #=> String
resp.connector_profile_details[0].connector_profile_properties.salesforce.is_sandbox_environment #=> true/false
resp.connector_profile_details[0].connector_profile_properties.service_now.instance_url #=> String
resp.connector_profile_details[0].connector_profile_properties.slack.instance_url #=> String
resp.connector_profile_details[0].connector_profile_properties.snowflake.warehouse #=> String
resp.connector_profile_details[0].connector_profile_properties.snowflake.stage #=> String
resp.connector_profile_details[0].connector_profile_properties.snowflake.bucket_name #=> String
resp.connector_profile_details[0].connector_profile_properties.snowflake.bucket_prefix #=> String
resp.connector_profile_details[0].connector_profile_properties.snowflake.private_link_service_name #=> String
resp.connector_profile_details[0].connector_profile_properties.snowflake. #=> String
resp.connector_profile_details[0].connector_profile_properties.snowflake.region #=> String
resp.connector_profile_details[0].connector_profile_properties.veeva.instance_url #=> String
resp.connector_profile_details[0].connector_profile_properties.zendesk.instance_url #=> String
resp.connector_profile_details[0].created_at #=> Time
resp.connector_profile_details[0].last_updated_at #=> Time
resp.next_token #=> String

Options Hash (options):

  • :connector_profile_names (Array<String>)

    The name of the connector profile. The name is unique for each ConnectorProfile in the AWS account.

  • :connector_type (String)

    The type of connector, such as Salesforce, Amplitude, and so on.

  • :max_results (Integer)

    Specifies the maximum number of items that should be returned in the result set. The default for maxResults is 20 (for all paginated API operations).

  • :next_token (String)

    The pagination token for the next page of data.

Returns:

See Also:

#describe_connectors(options = {}) ⇒ Types::DescribeConnectorsResponse

Describes the connectors vended by Amazon AppFlow for specified connector types. If you don't specify a connector type, this operation describes all connectors vended by Amazon AppFlow. If there are more connectors than can be returned in one page, the response contains a nextToken object, which can be be passed in to the next call to the DescribeConnectors API operation to retrieve the next page.

Examples:

Request syntax with placeholder values


resp = client.describe_connectors({
  connector_types: ["Salesforce"], # accepts Salesforce, Singular, Slack, Redshift, S3, Marketo, Googleanalytics, Zendesk, Servicenow, Datadog, Trendmicro, Snowflake, Dynatrace, Infornexus, Amplitude, Veeva, EventBridge
  next_token: "NextToken",
})

Response structure


resp.connector_configurations #=> Hash
resp.connector_configurations["ConnectorType"].can_use_as_source #=> true/false
resp.connector_configurations["ConnectorType"].can_use_as_destination #=> true/false
resp.connector_configurations["ConnectorType"].supported_destination_connectors #=> Array
resp.connector_configurations["ConnectorType"].supported_destination_connectors[0] #=> String, one of "Salesforce", "Singular", "Slack", "Redshift", "S3", "Marketo", "Googleanalytics", "Zendesk", "Servicenow", "Datadog", "Trendmicro", "Snowflake", "Dynatrace", "Infornexus", "Amplitude", "Veeva", "EventBridge"
resp.connector_configurations["ConnectorType"].supported_scheduling_frequencies #=> Array
resp.connector_configurations["ConnectorType"].supported_scheduling_frequencies[0] #=> String, one of "BYMINUTE", "HOURLY", "DAILY", "WEEKLY", "MONTHLY", "ONCE"
resp.connector_configurations["ConnectorType"].is_private_link_enabled #=> true/false
resp.connector_configurations["ConnectorType"].is_private_link_endpoint_url_required #=> true/false
resp.connector_configurations["ConnectorType"].supported_trigger_types #=> Array
resp.connector_configurations["ConnectorType"].supported_trigger_types[0] #=> String, one of "Scheduled", "Event", "OnDemand"
resp.connector_configurations["ConnectorType"]..google_analytics.o_auth_scopes #=> Array
resp.connector_configurations["ConnectorType"]..google_analytics.o_auth_scopes[0] #=> String
resp.connector_configurations["ConnectorType"]..salesforce.o_auth_scopes #=> Array
resp.connector_configurations["ConnectorType"]..salesforce.o_auth_scopes[0] #=> String
resp.connector_configurations["ConnectorType"]..slack.o_auth_scopes #=> Array
resp.connector_configurations["ConnectorType"]..slack.o_auth_scopes[0] #=> String
resp.connector_configurations["ConnectorType"]..snowflake.supported_regions #=> Array
resp.connector_configurations["ConnectorType"]..snowflake.supported_regions[0] #=> String
resp.connector_configurations["ConnectorType"]..zendesk.o_auth_scopes #=> Array
resp.connector_configurations["ConnectorType"]..zendesk.o_auth_scopes[0] #=> String
resp.next_token #=> String

Options Hash (options):

  • :connector_types (Array<String>)

    The type of connector, such as Salesforce, Amplitude, and so on.

  • :next_token (String)

    The pagination token for the next page of data.

Returns:

See Also:

#describe_flow(options = {}) ⇒ Types::DescribeFlowResponse

Provides a description of the specified flow.

Examples:

Request syntax with placeholder values


resp = client.describe_flow({
  flow_name: "FlowName", # required
})

Response structure


resp.flow_arn #=> String
resp.description #=> String
resp.flow_name #=> String
resp.kms_arn #=> String
resp.flow_status #=> String, one of "Active", "Deprecated", "Deleted", "Draft", "Errored", "Suspended"
resp.flow_status_message #=> String
resp.source_flow_config.connector_type #=> String, one of "Salesforce", "Singular", "Slack", "Redshift", "S3", "Marketo", "Googleanalytics", "Zendesk", "Servicenow", "Datadog", "Trendmicro", "Snowflake", "Dynatrace", "Infornexus", "Amplitude", "Veeva", "EventBridge"
resp.source_flow_config.connector_profile_name #=> String
resp.source_flow_config.source_connector_properties.amplitude.object #=> String
resp.source_flow_config.source_connector_properties.datadog.object #=> String
resp.source_flow_config.source_connector_properties.dynatrace.object #=> String
resp.source_flow_config.source_connector_properties.google_analytics.object #=> String
resp.source_flow_config.source_connector_properties.infor_nexus.object #=> String
resp.source_flow_config.source_connector_properties.marketo.object #=> String
resp.source_flow_config.source_connector_properties.s3.bucket_name #=> String
resp.source_flow_config.source_connector_properties.s3.bucket_prefix #=> String
resp.source_flow_config.source_connector_properties.salesforce.object #=> String
resp.source_flow_config.source_connector_properties.salesforce.enable_dynamic_field_update #=> true/false
resp.source_flow_config.source_connector_properties.salesforce.include_deleted_records #=> true/false
resp.source_flow_config.source_connector_properties.service_now.object #=> String
resp.source_flow_config.source_connector_properties.singular.object #=> String
resp.source_flow_config.source_connector_properties.slack.object #=> String
resp.source_flow_config.source_connector_properties.trendmicro.object #=> String
resp.source_flow_config.source_connector_properties.veeva.object #=> String
resp.source_flow_config.source_connector_properties.zendesk.object #=> String
resp.source_flow_config.incremental_pull_config.datetime_type_field_name #=> String
resp.destination_flow_config_list #=> Array
resp.destination_flow_config_list[0].connector_type #=> String, one of "Salesforce", "Singular", "Slack", "Redshift", "S3", "Marketo", "Googleanalytics", "Zendesk", "Servicenow", "Datadog", "Trendmicro", "Snowflake", "Dynatrace", "Infornexus", "Amplitude", "Veeva", "EventBridge"
resp.destination_flow_config_list[0].connector_profile_name #=> String
resp.destination_flow_config_list[0].destination_connector_properties.redshift.object #=> String
resp.destination_flow_config_list[0].destination_connector_properties.redshift.intermediate_bucket_name #=> String
resp.destination_flow_config_list[0].destination_connector_properties.redshift.bucket_prefix #=> String
resp.destination_flow_config_list[0].destination_connector_properties.redshift.error_handling_config.fail_on_first_destination_error #=> true/false
resp.destination_flow_config_list[0].destination_connector_properties.redshift.error_handling_config.bucket_prefix #=> String
resp.destination_flow_config_list[0].destination_connector_properties.redshift.error_handling_config.bucket_name #=> String
resp.destination_flow_config_list[0].destination_connector_properties.s3.bucket_name #=> String
resp.destination_flow_config_list[0].destination_connector_properties.s3.bucket_prefix #=> String
resp.destination_flow_config_list[0].destination_connector_properties.s3.s3_output_format_config.file_type #=> String, one of "CSV", "JSON", "PARQUET"
resp.destination_flow_config_list[0].destination_connector_properties.s3.s3_output_format_config.prefix_config.prefix_type #=> String, one of "FILENAME", "PATH", "PATH_AND_FILENAME"
resp.destination_flow_config_list[0].destination_connector_properties.s3.s3_output_format_config.prefix_config.prefix_format #=> String, one of "YEAR", "MONTH", "DAY", "HOUR", "MINUTE"
resp.destination_flow_config_list[0].destination_connector_properties.s3.s3_output_format_config.aggregation_config.aggregation_type #=> String, one of "None", "SingleFile"
resp.destination_flow_config_list[0].destination_connector_properties.salesforce.object #=> String
resp.destination_flow_config_list[0].destination_connector_properties.salesforce.id_field_names #=> Array
resp.destination_flow_config_list[0].destination_connector_properties.salesforce.id_field_names[0] #=> String
resp.destination_flow_config_list[0].destination_connector_properties.salesforce.error_handling_config.fail_on_first_destination_error #=> true/false
resp.destination_flow_config_list[0].destination_connector_properties.salesforce.error_handling_config.bucket_prefix #=> String
resp.destination_flow_config_list[0].destination_connector_properties.salesforce.error_handling_config.bucket_name #=> String
resp.destination_flow_config_list[0].destination_connector_properties.salesforce.write_operation_type #=> String, one of "INSERT", "UPSERT", "UPDATE"
resp.destination_flow_config_list[0].destination_connector_properties.snowflake.object #=> String
resp.destination_flow_config_list[0].destination_connector_properties.snowflake.intermediate_bucket_name #=> String
resp.destination_flow_config_list[0].destination_connector_properties.snowflake.bucket_prefix #=> String
resp.destination_flow_config_list[0].destination_connector_properties.snowflake.error_handling_config.fail_on_first_destination_error #=> true/false
resp.destination_flow_config_list[0].destination_connector_properties.snowflake.error_handling_config.bucket_prefix #=> String
resp.destination_flow_config_list[0].destination_connector_properties.snowflake.error_handling_config.bucket_name #=> String
resp.destination_flow_config_list[0].destination_connector_properties.event_bridge.object #=> String
resp.destination_flow_config_list[0].destination_connector_properties.event_bridge.error_handling_config.fail_on_first_destination_error #=> true/false
resp.destination_flow_config_list[0].destination_connector_properties.event_bridge.error_handling_config.bucket_prefix #=> String
resp.destination_flow_config_list[0].destination_connector_properties.event_bridge.error_handling_config.bucket_name #=> String
resp.last_run_execution_details.most_recent_execution_message #=> String
resp.last_run_execution_details.most_recent_execution_time #=> Time
resp.last_run_execution_details.most_recent_execution_status #=> String, one of "InProgress", "Successful", "Error"
resp.trigger_config.trigger_type #=> String, one of "Scheduled", "Event", "OnDemand"
resp.trigger_config.trigger_properties.scheduled.schedule_expression #=> String
resp.trigger_config.trigger_properties.scheduled.data_pull_mode #=> String, one of "Incremental", "Complete"
resp.trigger_config.trigger_properties.scheduled.schedule_start_time #=> Time
resp.trigger_config.trigger_properties.scheduled.schedule_end_time #=> Time
resp.trigger_config.trigger_properties.scheduled.timezone #=> String
resp.tasks #=> Array
resp.tasks[0].source_fields #=> Array
resp.tasks[0].source_fields[0] #=> String
resp.tasks[0].connector_operator.amplitude #=> String, one of "BETWEEN"
resp.tasks[0].connector_operator.datadog #=> String, one of "PROJECTION", "BETWEEN", "EQUAL_TO", "ADDITION", "MULTIPLICATION", "DIVISION", "SUBTRACTION", "MASK_ALL", "MASK_FIRST_N", "MASK_LAST_N", "VALIDATE_NON_NULL", "VALIDATE_NON_ZERO", "VALIDATE_NON_NEGATIVE", "VALIDATE_NUMERIC", "NO_OP"
resp.tasks[0].connector_operator.dynatrace #=> String, one of "PROJECTION", "BETWEEN", "EQUAL_TO", "ADDITION", "MULTIPLICATION", "DIVISION", "SUBTRACTION", "MASK_ALL", "MASK_FIRST_N", "MASK_LAST_N", "VALIDATE_NON_NULL", "VALIDATE_NON_ZERO", "VALIDATE_NON_NEGATIVE", "VALIDATE_NUMERIC", "NO_OP"
resp.tasks[0].connector_operator.google_analytics #=> String, one of "PROJECTION", "BETWEEN"
resp.tasks[0].connector_operator.infor_nexus #=> String, one of "PROJECTION", "BETWEEN", "EQUAL_TO", "ADDITION", "MULTIPLICATION", "DIVISION", "SUBTRACTION", "MASK_ALL", "MASK_FIRST_N", "MASK_LAST_N", "VALIDATE_NON_NULL", "VALIDATE_NON_ZERO", "VALIDATE_NON_NEGATIVE", "VALIDATE_NUMERIC", "NO_OP"
resp.tasks[0].connector_operator.marketo #=> String, one of "PROJECTION", "LESS_THAN", "GREATER_THAN", "BETWEEN", "ADDITION", "MULTIPLICATION", "DIVISION", "SUBTRACTION", "MASK_ALL", "MASK_FIRST_N", "MASK_LAST_N", "VALIDATE_NON_NULL", "VALIDATE_NON_ZERO", "VALIDATE_NON_NEGATIVE", "VALIDATE_NUMERIC", "NO_OP"
resp.tasks[0].connector_operator.s3 #=> String, one of "PROJECTION", "LESS_THAN", "GREATER_THAN", "BETWEEN", "LESS_THAN_OR_EQUAL_TO", "GREATER_THAN_OR_EQUAL_TO", "EQUAL_TO", "NOT_EQUAL_TO", "ADDITION", "MULTIPLICATION", "DIVISION", "SUBTRACTION", "MASK_ALL", "MASK_FIRST_N", "MASK_LAST_N", "VALIDATE_NON_NULL", "VALIDATE_NON_ZERO", "VALIDATE_NON_NEGATIVE", "VALIDATE_NUMERIC", "NO_OP"
resp.tasks[0].connector_operator.salesforce #=> String, one of "PROJECTION", "LESS_THAN", "CONTAINS", "GREATER_THAN", "BETWEEN", "LESS_THAN_OR_EQUAL_TO", "GREATER_THAN_OR_EQUAL_TO", "EQUAL_TO", "NOT_EQUAL_TO", "ADDITION", "MULTIPLICATION", "DIVISION", "SUBTRACTION", "MASK_ALL", "MASK_FIRST_N", "MASK_LAST_N", "VALIDATE_NON_NULL", "VALIDATE_NON_ZERO", "VALIDATE_NON_NEGATIVE", "VALIDATE_NUMERIC", "NO_OP"
resp.tasks[0].connector_operator.service_now #=> String, one of "PROJECTION", "CONTAINS", "LESS_THAN", "GREATER_THAN", "BETWEEN", "LESS_THAN_OR_EQUAL_TO", "GREATER_THAN_OR_EQUAL_TO", "EQUAL_TO", "NOT_EQUAL_TO", "ADDITION", "MULTIPLICATION", "DIVISION", "SUBTRACTION", "MASK_ALL", "MASK_FIRST_N", "MASK_LAST_N", "VALIDATE_NON_NULL", "VALIDATE_NON_ZERO", "VALIDATE_NON_NEGATIVE", "VALIDATE_NUMERIC", "NO_OP"
resp.tasks[0].connector_operator.singular #=> String, one of "PROJECTION", "EQUAL_TO", "ADDITION", "MULTIPLICATION", "DIVISION", "SUBTRACTION", "MASK_ALL", "MASK_FIRST_N", "MASK_LAST_N", "VALIDATE_NON_NULL", "VALIDATE_NON_ZERO", "VALIDATE_NON_NEGATIVE", "VALIDATE_NUMERIC", "NO_OP"
resp.tasks[0].connector_operator.slack #=> String, one of "PROJECTION", "LESS_THAN", "GREATER_THAN", "BETWEEN", "LESS_THAN_OR_EQUAL_TO", "GREATER_THAN_OR_EQUAL_TO", "EQUAL_TO", "ADDITION", "MULTIPLICATION", "DIVISION", "SUBTRACTION", "MASK_ALL", "MASK_FIRST_N", "MASK_LAST_N", "VALIDATE_NON_NULL", "VALIDATE_NON_ZERO", "VALIDATE_NON_NEGATIVE", "VALIDATE_NUMERIC", "NO_OP"
resp.tasks[0].connector_operator.trendmicro #=> String, one of "PROJECTION", "EQUAL_TO", "ADDITION", "MULTIPLICATION", "DIVISION", "SUBTRACTION", "MASK_ALL", "MASK_FIRST_N", "MASK_LAST_N", "VALIDATE_NON_NULL", "VALIDATE_NON_ZERO", "VALIDATE_NON_NEGATIVE", "VALIDATE_NUMERIC", "NO_OP"
resp.tasks[0].connector_operator.veeva #=> String, one of "PROJECTION", "LESS_THAN", "GREATER_THAN", "CONTAINS", "BETWEEN", "LESS_THAN_OR_EQUAL_TO", "GREATER_THAN_OR_EQUAL_TO", "EQUAL_TO", "NOT_EQUAL_TO", "ADDITION", "MULTIPLICATION", "DIVISION", "SUBTRACTION", "MASK_ALL", "MASK_FIRST_N", "MASK_LAST_N", "VALIDATE_NON_NULL", "VALIDATE_NON_ZERO", "VALIDATE_NON_NEGATIVE", "VALIDATE_NUMERIC", "NO_OP"
resp.tasks[0].connector_operator.zendesk #=> String, one of "PROJECTION", "GREATER_THAN", "ADDITION", "MULTIPLICATION", "DIVISION", "SUBTRACTION", "MASK_ALL", "MASK_FIRST_N", "MASK_LAST_N", "VALIDATE_NON_NULL", "VALIDATE_NON_ZERO", "VALIDATE_NON_NEGATIVE", "VALIDATE_NUMERIC", "NO_OP"
resp.tasks[0].destination_field #=> String
resp.tasks[0].task_type #=> String, one of "Arithmetic", "Filter", "Map", "Mask", "Merge", "Truncate", "Validate"
resp.tasks[0].task_properties #=> Hash
resp.tasks[0].task_properties["OperatorPropertiesKeys"] #=> String
resp.created_at #=> Time
resp.last_updated_at #=> Time
resp.created_by #=> String
resp.last_updated_by #=> String
resp.tags #=> Hash
resp.tags["TagKey"] #=> String

Options Hash (options):

  • :flow_name (required, String)

    The specified name of the flow. Spaces are not allowed. Use underscores (_) or hyphens (-) only.

Returns:

See Also:

#describe_flow_execution_records(options = {}) ⇒ Types::DescribeFlowExecutionRecordsResponse

Fetches the execution history of the flow.

Examples:

Request syntax with placeholder values


resp = client.describe_flow_execution_records({
  flow_name: "FlowName", # required
  max_results: 1,
  next_token: "NextToken",
})

Response structure


resp.flow_executions #=> Array
resp.flow_executions[0].execution_id #=> String
resp.flow_executions[0].execution_status #=> String, one of "InProgress", "Successful", "Error"
resp.flow_executions[0].execution_result.error_info.put_failures_count #=> Integer
resp.flow_executions[0].execution_result.error_info.execution_message #=> String
resp.flow_executions[0].execution_result.bytes_processed #=> Integer
resp.flow_executions[0].execution_result.bytes_written #=> Integer
resp.flow_executions[0].execution_result.records_processed #=> Integer
resp.flow_executions[0].started_at #=> Time
resp.flow_executions[0].last_updated_at #=> Time
resp.next_token #=> String

Options Hash (options):

  • :flow_name (required, String)

    The specified name of the flow. Spaces are not allowed. Use underscores (_) or hyphens (-) only.

  • :max_results (Integer)

    Specifies the maximum number of items that should be returned in the result set. The default for maxResults is 20 (for all paginated API operations).

  • :next_token (String)

    The pagination token for the next page of data.

Returns:

See Also:

#list_connector_entities(options = {}) ⇒ Types::ListConnectorEntitiesResponse

Returns the list of available connector entities supported by Amazon AppFlow. For example, you can query Salesforce for Account and Opportunity entities, or query ServiceNow for the Incident entity.

Examples:

Request syntax with placeholder values


resp = client.list_connector_entities({
  connector_profile_name: "ConnectorProfileName",
  connector_type: "Salesforce", # accepts Salesforce, Singular, Slack, Redshift, S3, Marketo, Googleanalytics, Zendesk, Servicenow, Datadog, Trendmicro, Snowflake, Dynatrace, Infornexus, Amplitude, Veeva, EventBridge
  entities_path: "EntitiesPath",
})

Response structure


resp.connector_entity_map #=> Hash
resp.connector_entity_map["Group"] #=> Array
resp.connector_entity_map["Group"][0].name #=> String
resp.connector_entity_map["Group"][0].label #=> String
resp.connector_entity_map["Group"][0].has_nested_entities #=> true/false

Options Hash (options):

  • :connector_profile_name (String)

    The name of the connector profile. The name is unique for each ConnectorProfile in the AWS account, and is used to query the downstream connector.

  • :connector_type (String)

    The type of connector, such as Salesforce, Amplitude, and so on.

  • :entities_path (String)

    This optional parameter is specific to connector implementation. Some connectors support multiple levels or categories of entities. You can find out the list of roots for such providers by sending a request without the entitiesPath parameter. If the connector supports entities at different roots, this initial request returns the list of roots. Otherwise, this request returns all entities supported by the provider.

Returns:

See Also:

#list_flows(options = {}) ⇒ Types::ListFlowsResponse

Lists all of the flows associated with your account.

Examples:

Request syntax with placeholder values


resp = client.list_flows({
  max_results: 1,
  next_token: "NextToken",
})

Response structure


resp.flows #=> Array
resp.flows[0].flow_arn #=> String
resp.flows[0].description #=> String
resp.flows[0].flow_name #=> String
resp.flows[0].flow_status #=> String, one of "Active", "Deprecated", "Deleted", "Draft", "Errored", "Suspended"
resp.flows[0].source_connector_type #=> String, one of "Salesforce", "Singular", "Slack", "Redshift", "S3", "Marketo", "Googleanalytics", "Zendesk", "Servicenow", "Datadog", "Trendmicro", "Snowflake", "Dynatrace", "Infornexus", "Amplitude", "Veeva", "EventBridge"
resp.flows[0].destination_connector_type #=> String, one of "Salesforce", "Singular", "Slack", "Redshift", "S3", "Marketo", "Googleanalytics", "Zendesk", "Servicenow", "Datadog", "Trendmicro", "Snowflake", "Dynatrace", "Infornexus", "Amplitude", "Veeva", "EventBridge"
resp.flows[0].trigger_type #=> String, one of "Scheduled", "Event", "OnDemand"
resp.flows[0].created_at #=> Time
resp.flows[0].last_updated_at #=> Time
resp.flows[0].created_by #=> String
resp.flows[0].last_updated_by #=> String
resp.flows[0].tags #=> Hash
resp.flows[0].tags["TagKey"] #=> String
resp.flows[0].last_run_execution_details.most_recent_execution_message #=> String
resp.flows[0].last_run_execution_details.most_recent_execution_time #=> Time
resp.flows[0].last_run_execution_details.most_recent_execution_status #=> String, one of "InProgress", "Successful", "Error"
resp.next_token #=> String

Options Hash (options):

  • :max_results (Integer)

    Specifies the maximum number of items that should be returned in the result set.

  • :next_token (String)

    The pagination token for next page of data.

Returns:

See Also:

#list_tags_for_resource(options = {}) ⇒ Types::ListTagsForResourceResponse

Retrieves the tags that are associated with a specified flow.

Examples:

Request syntax with placeholder values


resp = client.list_tags_for_resource({
  resource_arn: "ARN", # required
})

Response structure


resp.tags #=> Hash
resp.tags["TagKey"] #=> String

Options Hash (options):

  • :resource_arn (required, String)

    The Amazon Resource Name (ARN) of the specified flow.

Returns:

See Also:

#start_flow(options = {}) ⇒ Types::StartFlowResponse

Activates an existing flow. For on-demand flows, this operation runs the flow immediately. For schedule and event-triggered flows, this operation activates the flow.

Examples:

Request syntax with placeholder values


resp = client.start_flow({
  flow_name: "FlowName", # required
})

Response structure


resp.flow_arn #=> String
resp.flow_status #=> String, one of "Active", "Deprecated", "Deleted", "Draft", "Errored", "Suspended"
resp.execution_id #=> String

Options Hash (options):

  • :flow_name (required, String)

    The specified name of the flow. Spaces are not allowed. Use underscores (_) or hyphens (-) only.

Returns:

See Also:

#stop_flow(options = {}) ⇒ Types::StopFlowResponse

Deactivates the existing flow. For on-demand flows, this operation returns an unsupportedOperationException error message. For schedule and event-triggered flows, this operation deactivates the flow.

Examples:

Request syntax with placeholder values


resp = client.stop_flow({
  flow_name: "FlowName", # required
})

Response structure


resp.flow_arn #=> String
resp.flow_status #=> String, one of "Active", "Deprecated", "Deleted", "Draft", "Errored", "Suspended"

Options Hash (options):

  • :flow_name (required, String)

    The specified name of the flow. Spaces are not allowed. Use underscores (_) or hyphens (-) only.

Returns:

See Also:

#tag_resource(options = {}) ⇒ Struct

Applies a tag to the specified flow.

Examples:

Request syntax with placeholder values


resp = client.tag_resource({
  resource_arn: "ARN", # required
  tags: { # required
    "TagKey" => "TagValue",
  },
})

Options Hash (options):

  • :resource_arn (required, String)

    The Amazon Resource Name (ARN) of the flow that you want to tag.

  • :tags (required, Hash<String,String>)

    The tags used to organize, track, or control access for your flow.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#untag_resource(options = {}) ⇒ Struct

Removes a tag from the specified flow.

Examples:

Request syntax with placeholder values


resp = client.untag_resource({
  resource_arn: "ARN", # required
  tag_keys: ["TagKey"], # required
})

Options Hash (options):

  • :resource_arn (required, String)

    The Amazon Resource Name (ARN) of the flow that you want to untag.

  • :tag_keys (required, Array<String>)

    The tag keys associated with the tag that you want to remove from your flow.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#update_connector_profile(options = {}) ⇒ Types::UpdateConnectorProfileResponse

Updates a given connector profile associated with your account.

Examples:

Request syntax with placeholder values


resp = client.update_connector_profile({
  connector_profile_name: "ConnectorProfileName", # required
  connection_mode: "Public", # required, accepts Public, Private
  connector_profile_config: { # required
    connector_profile_properties: { # required
      amplitude: {
      },
      datadog: {
        instance_url: "InstanceUrl", # required
      },
      dynatrace: {
        instance_url: "InstanceUrl", # required
      },
      google_analytics: {
      },
      infor_nexus: {
        instance_url: "InstanceUrl", # required
      },
      marketo: {
        instance_url: "InstanceUrl", # required
      },
      redshift: {
        database_url: "DatabaseUrl", # required
        bucket_name: "BucketName", # required
        bucket_prefix: "BucketPrefix",
        role_arn: "RoleArn", # required
      },
      salesforce: {
        instance_url: "InstanceUrl",
        is_sandbox_environment: false,
      },
      service_now: {
        instance_url: "InstanceUrl", # required
      },
      singular: {
      },
      slack: {
        instance_url: "InstanceUrl", # required
      },
      snowflake: {
        warehouse: "Warehouse", # required
        stage: "Stage", # required
        bucket_name: "BucketName", # required
        bucket_prefix: "BucketPrefix",
        private_link_service_name: "PrivateLinkServiceName",
        account_name: "AccountName",
        region: "Region",
      },
      trendmicro: {
      },
      veeva: {
        instance_url: "InstanceUrl", # required
      },
      zendesk: {
        instance_url: "InstanceUrl", # required
      },
    },
    connector_profile_credentials: { # required
      amplitude: {
        api_key: "ApiKey", # required
        secret_key: "SecretKey", # required
      },
      datadog: {
        api_key: "ApiKey", # required
        application_key: "ApplicationKey", # required
      },
      dynatrace: {
        api_token: "ApiToken", # required
      },
      google_analytics: {
        client_id: "ClientId", # required
        client_secret: "ClientSecret", # required
        access_token: "AccessToken",
        refresh_token: "RefreshToken",
        o_auth_request: {
          auth_code: "AuthCode",
          redirect_uri: "RedirectUri",
        },
      },
      infor_nexus: {
        access_key_id: "AccessKeyId", # required
        user_id: "Username", # required
        secret_access_key: "Key", # required
        datakey: "Key", # required
      },
      marketo: {
        client_id: "ClientId", # required
        client_secret: "ClientSecret", # required
        access_token: "AccessToken",
        o_auth_request: {
          auth_code: "AuthCode",
          redirect_uri: "RedirectUri",
        },
      },
      redshift: {
        username: "Username", # required
        password: "Password", # required
      },
      salesforce: {
        access_token: "AccessToken",
        refresh_token: "RefreshToken",
        o_auth_request: {
          auth_code: "AuthCode",
          redirect_uri: "RedirectUri",
        },
        client_credentials_arn: "ClientCredentialsArn",
      },
      service_now: {
        username: "Username", # required
        password: "Password", # required
      },
      singular: {
        api_key: "ApiKey", # required
      },
      slack: {
        client_id: "ClientId", # required
        client_secret: "ClientSecret", # required
        access_token: "AccessToken",
        o_auth_request: {
          auth_code: "AuthCode",
          redirect_uri: "RedirectUri",
        },
      },
      snowflake: {
        username: "Username", # required
        password: "Password", # required
      },
      trendmicro: {
        api_secret_key: "ApiSecretKey", # required
      },
      veeva: {
        username: "Username", # required
        password: "Password", # required
      },
      zendesk: {
        client_id: "ClientId", # required
        client_secret: "ClientSecret", # required
        access_token: "AccessToken",
        o_auth_request: {
          auth_code: "AuthCode",
          redirect_uri: "RedirectUri",
        },
      },
    },
  },
})

Response structure


resp.connector_profile_arn #=> String

Options Hash (options):

  • :connector_profile_name (required, String)

    The name of the connector profile and is unique for each ConnectorProfile in the AWS Account.

  • :connection_mode (required, String)

    Indicates the connection mode and if it is public or private.

  • :connector_profile_config (required, Types::ConnectorProfileConfig)

    Defines the connector-specific profile configuration and credentials.

Returns:

See Also:

#update_flow(options = {}) ⇒ Types::UpdateFlowResponse

Updates an existing flow.

Examples:

Request syntax with placeholder values


resp = client.update_flow({
  flow_name: "FlowName", # required
  description: "FlowDescription",
  trigger_config: { # required
    trigger_type: "Scheduled", # required, accepts Scheduled, Event, OnDemand
    trigger_properties: {
      scheduled: {
        schedule_expression: "ScheduleExpression", # required
        data_pull_mode: "Incremental", # accepts Incremental, Complete
        schedule_start_time: Time.now,
        schedule_end_time: Time.now,
        timezone: "Timezone",
      },
    },
  },
  source_flow_config: {
    connector_type: "Salesforce", # required, accepts Salesforce, Singular, Slack, Redshift, S3, Marketo, Googleanalytics, Zendesk, Servicenow, Datadog, Trendmicro, Snowflake, Dynatrace, Infornexus, Amplitude, Veeva, EventBridge
    connector_profile_name: "ConnectorProfileName",
    source_connector_properties: { # required
      amplitude: {
        object: "Object", # required
      },
      datadog: {
        object: "Object", # required
      },
      dynatrace: {
        object: "Object", # required
      },
      google_analytics: {
        object: "Object", # required
      },
      infor_nexus: {
        object: "Object", # required
      },
      marketo: {
        object: "Object", # required
      },
      s3: {
        bucket_name: "BucketName", # required
        bucket_prefix: "BucketPrefix",
      },
      salesforce: {
        object: "Object", # required
        enable_dynamic_field_update: false,
        include_deleted_records: false,
      },
      service_now: {
        object: "Object", # required
      },
      singular: {
        object: "Object", # required
      },
      slack: {
        object: "Object", # required
      },
      trendmicro: {
        object: "Object", # required
      },
      veeva: {
        object: "Object", # required
      },
      zendesk: {
        object: "Object", # required
      },
    },
    incremental_pull_config: {
      datetime_type_field_name: "DatetimeTypeFieldName",
    },
  },
  destination_flow_config_list: [ # required
    {
      connector_type: "Salesforce", # required, accepts Salesforce, Singular, Slack, Redshift, S3, Marketo, Googleanalytics, Zendesk, Servicenow, Datadog, Trendmicro, Snowflake, Dynatrace, Infornexus, Amplitude, Veeva, EventBridge
      connector_profile_name: "ConnectorProfileName",
      destination_connector_properties: { # required
        redshift: {
          object: "Object", # required
          intermediate_bucket_name: "BucketName", # required
          bucket_prefix: "BucketPrefix",
          error_handling_config: {
            fail_on_first_destination_error: false,
            bucket_prefix: "BucketPrefix",
            bucket_name: "BucketName",
          },
        },
        s3: {
          bucket_name: "BucketName", # required
          bucket_prefix: "BucketPrefix",
          s3_output_format_config: {
            file_type: "CSV", # accepts CSV, JSON, PARQUET
            prefix_config: {
              prefix_type: "FILENAME", # accepts FILENAME, PATH, PATH_AND_FILENAME
              prefix_format: "YEAR", # accepts YEAR, MONTH, DAY, HOUR, MINUTE
            },
            aggregation_config: {
              aggregation_type: "None", # accepts None, SingleFile
            },
          },
        },
        salesforce: {
          object: "Object", # required
          id_field_names: ["Name"],
          error_handling_config: {
            fail_on_first_destination_error: false,
            bucket_prefix: "BucketPrefix",
            bucket_name: "BucketName",
          },
          write_operation_type: "INSERT", # accepts INSERT, UPSERT, UPDATE
        },
        snowflake: {
          object: "Object", # required
          intermediate_bucket_name: "BucketName", # required
          bucket_prefix: "BucketPrefix",
          error_handling_config: {
            fail_on_first_destination_error: false,
            bucket_prefix: "BucketPrefix",
            bucket_name: "BucketName",
          },
        },
        event_bridge: {
          object: "Object", # required
          error_handling_config: {
            fail_on_first_destination_error: false,
            bucket_prefix: "BucketPrefix",
            bucket_name: "BucketName",
          },
        },
      },
    },
  ],
  tasks: [ # required
    {
      source_fields: ["String"], # required
      connector_operator: {
        amplitude: "BETWEEN", # accepts BETWEEN
        datadog: "PROJECTION", # accepts PROJECTION, BETWEEN, EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        dynatrace: "PROJECTION", # accepts PROJECTION, BETWEEN, EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        google_analytics: "PROJECTION", # accepts PROJECTION, BETWEEN
        infor_nexus: "PROJECTION", # accepts PROJECTION, BETWEEN, EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        marketo: "PROJECTION", # accepts PROJECTION, LESS_THAN, GREATER_THAN, BETWEEN, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        s3: "PROJECTION", # accepts PROJECTION, LESS_THAN, GREATER_THAN, BETWEEN, LESS_THAN_OR_EQUAL_TO, GREATER_THAN_OR_EQUAL_TO, EQUAL_TO, NOT_EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        salesforce: "PROJECTION", # accepts PROJECTION, LESS_THAN, CONTAINS, GREATER_THAN, BETWEEN, LESS_THAN_OR_EQUAL_TO, GREATER_THAN_OR_EQUAL_TO, EQUAL_TO, NOT_EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        service_now: "PROJECTION", # accepts PROJECTION, CONTAINS, LESS_THAN, GREATER_THAN, BETWEEN, LESS_THAN_OR_EQUAL_TO, GREATER_THAN_OR_EQUAL_TO, EQUAL_TO, NOT_EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        singular: "PROJECTION", # accepts PROJECTION, EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        slack: "PROJECTION", # accepts PROJECTION, LESS_THAN, GREATER_THAN, BETWEEN, LESS_THAN_OR_EQUAL_TO, GREATER_THAN_OR_EQUAL_TO, EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        trendmicro: "PROJECTION", # accepts PROJECTION, EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        veeva: "PROJECTION", # accepts PROJECTION, LESS_THAN, GREATER_THAN, CONTAINS, BETWEEN, LESS_THAN_OR_EQUAL_TO, GREATER_THAN_OR_EQUAL_TO, EQUAL_TO, NOT_EQUAL_TO, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
        zendesk: "PROJECTION", # accepts PROJECTION, GREATER_THAN, ADDITION, MULTIPLICATION, DIVISION, SUBTRACTION, MASK_ALL, MASK_FIRST_N, MASK_LAST_N, VALIDATE_NON_NULL, VALIDATE_NON_ZERO, VALIDATE_NON_NEGATIVE, VALIDATE_NUMERIC, NO_OP
      },
      destination_field: "DestinationField",
      task_type: "Arithmetic", # required, accepts Arithmetic, Filter, Map, Mask, Merge, Truncate, Validate
      task_properties: {
        "VALUE" => "Property",
      },
    },
  ],
})

Response structure


resp.flow_status #=> String, one of "Active", "Deprecated", "Deleted", "Draft", "Errored", "Suspended"

Options Hash (options):

  • :flow_name (required, String)

    The specified name of the flow. Spaces are not allowed. Use underscores (_) or hyphens (-) only.

  • :description (String)

    A description of the flow.

  • :trigger_config (required, Types::TriggerConfig)

    The trigger settings that determine how and when the flow runs.

  • :source_flow_config (Types::SourceFlowConfig)

    Contains information about the configuration of the source connector used in the flow.

  • :destination_flow_config_list (required, Array<Types::DestinationFlowConfig>)

    The configuration that controls how Amazon AppFlow transfers data to the destination connector.

  • :tasks (required, Array<Types::Task>)

    A list of tasks that Amazon AppFlow performs while transferring the data in the flow run.

Returns:

See Also:

#wait_until(waiter_name, params = {}) {|waiter| ... } ⇒ Boolean

Waiters polls an API operation until a resource enters a desired state.

Basic Usage

Waiters will poll until they are succesful, they fail by entering a terminal state, or until a maximum number of attempts are made.

# polls in a loop, sleeping between attempts client.waiter_until(waiter_name, params)

Configuration

You can configure the maximum number of polling attempts, and the delay (in seconds) between each polling attempt. You configure waiters by passing a block to #wait_until:

# poll for ~25 seconds
client.wait_until(...) do |w|
  w.max_attempts = 5
  w.delay = 5
end

Callbacks

You can be notified before each polling attempt and before each delay. If you throw :success or :failure from these callbacks, it will terminate the waiter.

started_at = Time.now
client.wait_until(...) do |w|

  # disable max attempts
  w.max_attempts = nil

  # poll for 1 hour, instead of a number of attempts
  w.before_wait do |attempts, response|
    throw :failure if Time.now - started_at > 3600
  end

end

Handling Errors

When a waiter is successful, it returns true. When a waiter fails, it raises an error. All errors raised extend from Waiters::Errors::WaiterFailed.

begin
  client.wait_until(...)
rescue Aws::Waiters::Errors::WaiterFailed
  # resource did not enter the desired state in time
end

Parameters:

  • waiter_name (Symbol)

    The name of the waiter. See #waiter_names for a full list of supported waiters.

  • params (Hash) (defaults to: {})

    Additional request parameters. See the #waiter_names for a list of supported waiters and what request they call. The called request determines the list of accepted parameters.

Yield Parameters:

Returns:

  • (Boolean)

    Returns true if the waiter was successful.

Raises:

  • (Errors::FailureStateError)

    Raised when the waiter terminates because the waiter has entered a state that it will not transition out of, preventing success.

  • (Errors::TooManyAttemptsError)

    Raised when the configured maximum number of attempts have been made, and the waiter is not yet successful.

  • (Errors::UnexpectedError)

    Raised when an error is encounted while polling for a resource that is not expected.

  • (Errors::NoSuchWaiterError)

    Raised when you request to wait for an unknown state.

#waiter_namesArray<Symbol>

Returns the list of supported waiters. The following table lists the supported waiters and the client method they call:

Waiter NameClient MethodDefault Delay:Default Max Attempts:

Returns:

  • (Array<Symbol>)

    the list of supported waiters.