| Column Name | Column Data Type |
|---|
workflow_name Required Input Column
The name of the workflow. | VARCHAR |
_aws_profile Input Column
The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT(
"type" VARCHAR,
"name" VARCHAR,
"account_id" VARCHAR,
"via_profile_name" VARCHAR,
"assumed_role_arn" VARCHAR,
"organization" STRUCT(
"account_name" VARCHAR,
"id" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[],
"master_account" STRUCT(
"id" VARCHAR,
"email" VARCHAR
),
"parents" STRUCT(
"type" VARCHAR,
"id" VARCHAR,
"name" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[]
)[]
)
) |
Show child fields- _aws_profile.account_id
The AWS account id - _aws_profile.assumed_role_arn
The ARN of the assumed role - _aws_profile.name
The unique name of the profile. - _aws_profile.organization
Information about this profile's membership in the AWS organization. Show child fields- _aws_profile.organization.account_name
The name of account speciifed by the organization - _aws_profile.organization.id
The organization id - _aws_profile.organization.master_account
Show child fields- _aws_profile.organization.master_account.email
The organization master account email address - _aws_profile.organization.master_account.id
The organization master account id
- _aws_profile.organization.parents[]
Show child fields- _aws_profile.organization.parents[].id
The id of the parent - _aws_profile.organization.parents[].name
The name of the parent - _aws_profile.organization.parents[].tags[]
Show child fields- _aws_profile.organization.parents[].tags[].key
- _aws_profile.organization.parents[].tags[].value
- _aws_profile.organization.parents[].type
The type of parent can be an organization unit or a root
- _aws_profile.organization.tags[]
Show child fields- _aws_profile.organization.tags[].key
- _aws_profile.organization.tags[].value
- _aws_profile.type
The type of profile, either 'credentials' or 'assumed_role' - _aws_profile.via_profile_name
This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.
|
created_at
The timestamp of when the workflow was created. | TIMESTAMP_S |
description
A description of the workflow. | VARCHAR |
incremental_run_config
An object which defines an incremental run type and has only incrementalRunType as a field. | STRUCT(
"incremental_run_type" VARCHAR
) |
Show child fields- incremental_run_config.incremental_run_type
The type of incremental run. It takes only one value: IMMEDIATE.
|
input_source_config
A list of InputSource objects, which have the fields InputSourceARN and SchemaName. | STRUCT(
"apply_normalization" BOOLEAN,
"input_source_arn" VARCHAR,
"schema_name" VARCHAR
)[] |
Show child fields- input_source_config[]
Show child fields- input_source_config[].apply_normalization
Normalizes the attributes defined in the schema in the input data. For example, if an attribute has an AttributeType of PHONE_NUMBER, and the data in the input table is in a format of 1234567890, Entity Resolution will normalize this field in the output to (123)-456-7890. - input_source_config[].input_source_arn
An Glue table Amazon Resource Name (ARN) for the input source table. - input_source_config[].schema_name
The name of the schema to be retrieved.
|
output_source_config
A list of OutputSource objects, each of which contains fields OutputS3Path, ApplyNormalization, and Output. | STRUCT(
"kms_arn" VARCHAR,
"apply_normalization" BOOLEAN,
"output" STRUCT(
"hashed" BOOLEAN,
"name" VARCHAR
)[],
"output_s3_path" VARCHAR
)[] |
Show child fields- output_source_config[]
Show child fields- output_source_config[].apply_normalization
Normalizes the attributes defined in the schema in the input data. For example, if an attribute has an AttributeType of PHONE_NUMBER, and the data in the input table is in a format of 1234567890, Entity Resolution will normalize this field in the output to (123)-456-7890. - output_source_config[].kms_arn
Customer KMS ARN for encryption at rest. If not provided, system will use an Entity Resolution managed KMS key. - output_source_config[].output[]
Show child fields- output_source_config[].output[].hashed
Enables the ability to hash the column values in the output. - output_source_config[].output[].name
A name of a column to be written to the output. This must be an InputField name in the schema mapping.
- output_source_config[].output_s3_path
The S3 path to which Entity Resolution will write the output table.
|
resolution_techniques
An object which defines the resolutionType and the ruleBasedProperties. | STRUCT(
"provider_properties" STRUCT(
"intermediate_source_configuration" STRUCT(
"intermediate_s3_path" VARCHAR
),
"provider_configuration" VARCHAR,
"provider_service_arn" VARCHAR
),
"resolution_type" VARCHAR,
"rule_based_properties" STRUCT(
"attribute_matching_model" VARCHAR,
"match_purpose" VARCHAR,
"rules" STRUCT(
"matching_keys" VARCHAR[],
"rule_name" VARCHAR
)[]
)
) |
Show child fields- resolution_techniques.provider_properties
The properties of the provider service. Show child fields- resolution_techniques.provider_properties.intermediate_source_configuration
The Amazon S3 location that temporarily stores your data while it processes. Your information won't be saved permanently. Show child fields- resolution_techniques.provider_properties.intermediate_source_configuration.intermediate_s3_path
The Amazon S3 location (bucket and prefix). For example: s3://provider_bucket/DOC-EXAMPLE-BUCKET
- resolution_techniques.provider_properties.provider_configuration
The required configuration fields to use with the provider service. - resolution_techniques.provider_properties.provider_service_arn
The ARN of the provider service.
- resolution_techniques.resolution_type
The type of matching. There are three types of matching: RULE_MATCHING, ML_MATCHING, and PROVIDER. - resolution_techniques.rule_based_properties
An object which defines the list of matching rules to run and has a field Rules, which is a list of rule objects. Show child fields- resolution_techniques.rule_based_properties.attribute_matching_model
The comparison type. You can either choose ONE_TO_ONE or MANY_TO_MANY as the attributeMatchingModel. If you choose MANY_TO_MANY, the system can match attributes across the sub-types of an attribute type. For example, if the value of the Email field of Profile A and the value of BusinessEmail field of Profile B matches, the two profiles are matched on the Email attribute type. If you choose ONE_TO_ONE, the system can only match attributes if the sub-types are an exact match. For example, for the Email attribute type, the system will only consider it a match if the value of the Email field of Profile A matches the value of the Email field of Profile B. - resolution_techniques.rule_based_properties.match_purpose
An indicator of whether to generate IDs and index the data or not. If you choose IDENTIFIER_GENERATION, the process generates IDs and indexes the data. If you choose INDEXING, the process indexes the data without generating IDs. - resolution_techniques.rule_based_properties.rules[]
Show child fields- resolution_techniques.rule_based_properties.rules[].matching_keys[]
- resolution_techniques.rule_based_properties.rules[].rule_name
A name for the matching rule.
|
role_arn
The Amazon Resource Name (ARN) of the IAM role. Entity Resolution assumes this role to access Amazon Web Services resources on your behalf. | VARCHAR |
tags
The tags used to organize, track, or control access for this resource. | MAP(VARCHAR, VARCHAR) |
updated_at
The timestamp of when the workflow was last updated. | TIMESTAMP_S |
workflow_arn
The ARN (Amazon Resource Name) that Entity Resolution generated for the MatchingWorkflow. | VARCHAR |