| Column Name | Column Data Type |
filter Input Column
The filter criteria. | STRUCT( "data_source" STRUCT( "glue_table" STRUCT( "database_name" VARCHAR, "table_name" VARCHAR, "catalog_id" VARCHAR, "connection_name" VARCHAR, "additional_options" MAP(VARCHAR, VARCHAR) ) ), "job_name" VARCHAR, "job_run_id" VARCHAR, "started_after" TIMESTAMP_S, "started_before" TIMESTAMP_S ) |
Show child fields- filter.data_source
Filter results by the specified data source. For example, retrieving all results for an Glue table. Show child fields- filter.data_source.glue_table
An Glue table. Show child fields- filter.data_source.glue_table.additional_options
Additional options for the table. Currently there are two keys supported: -
pushDownPredicate: to filter on partitions without having to list and read all the files in your dataset. -
catalogPartitionPredicate: to use server-side partition pruning using partition indexes in the Glue Data Catalog.
- filter.data_source.glue_table.catalog_id
A unique identifier for the Glue Data Catalog.
- filter.data_source.glue_table.connection_name
The name of the connection to the Glue Data Catalog.
- filter.data_source.glue_table.database_name
A database name in the Glue Data Catalog.
- filter.data_source.glue_table.table_name
A table name in the Glue Data Catalog.
- filter.job_name
Filter results by the specified job name.
- filter.job_run_id
Filter results by the specified job run ID.
- filter.started_after
Filter results by runs that started after this time.
- filter.started_before
Filter results by runs that started before this time.
|
max_results Input Column
The maximum number of results to return. | BIGINT |
next_token Input Column
A pagination token, if more results are available. | 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.
|
_aws_region Input Column
The AWS region to use. | VARCHAR |
results
A list of DataQualityResultDescription objects. | STRUCT( "result_id" VARCHAR, "data_source" STRUCT( "glue_table" STRUCT( "database_name" VARCHAR, "table_name" VARCHAR, "catalog_id" VARCHAR, "connection_name" VARCHAR, "additional_options" MAP(VARCHAR, VARCHAR) ) ), "job_name" VARCHAR, "job_run_id" VARCHAR, "started_on" TIMESTAMP_S )[] |
Show child fields- results[]
Show child fields- results[].data_source
The table name associated with the data quality result. Show child fields- results[].data_source.glue_table
An Glue table. Show child fields- results[].data_source.glue_table.additional_options
Additional options for the table. Currently there are two keys supported: -
pushDownPredicate: to filter on partitions without having to list and read all the files in your dataset. -
catalogPartitionPredicate: to use server-side partition pruning using partition indexes in the Glue Data Catalog.
- results[].data_source.glue_table.catalog_id
A unique identifier for the Glue Data Catalog.
- results[].data_source.glue_table.connection_name
The name of the connection to the Glue Data Catalog.
- results[].data_source.glue_table.database_name
A database name in the Glue Data Catalog.
- results[].data_source.glue_table.table_name
A table name in the Glue Data Catalog.
- results[].job_name
The job name associated with the data quality result.
- results[].job_run_id
The job run ID associated with the data quality result.
- results[].result_id
The unique result ID for this data quality result.
- results[].started_on
The time that the run started for this data quality result.
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