| Column Name | Column Data Type |
|---|
data_source_id Required Input Column
The ID assigned to the DataSource at creation. This value should be identical to the value of the DataSourceId in the request. | VARCHAR |
verbose Input Column
Specifies whether the GetDataSource operation should return DataSourceSchema. If true, DataSourceSchema is returned. If false, DataSourceSchema is not returned. | BOOLEAN |
_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 |
compute_statistics
The parameter is true if statistics need to be generated from the observation data. | BOOLEAN |
compute_time
The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the DataSource, normalized and scaled on computation resources. ComputeTime is only available if the DataSource is in the COMPLETED state and the ComputeStatistics is set to true. | BIGINT |
created_at
The time that the DataSource was created. The time is expressed in epoch time. | TIMESTAMP_S |
created_by_iam_user
The AWS user account from which the DataSource was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account. | VARCHAR |
data_location_s3
The location of the data file or directory in Amazon Simple Storage Service (Amazon S3). | VARCHAR |
data_rearrangement
A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created. | VARCHAR |
data_size_in_bytes
The total size of observations in the data files. | BIGINT |
data_source_schema
The schema used by all of the data files of this DataSource. Note: This parameter is provided as part of the verbose format. | VARCHAR |
finished_at
The epoch time when Amazon Machine Learning marked the DataSource as COMPLETED or FAILED. FinishedAt is only available when the DataSource is in the COMPLETED or FAILED state. | TIMESTAMP_S |
last_updated_at
The time of the most recent edit to the DataSource. The time is expressed in epoch time. | TIMESTAMP_S |
log_uri
A link to the file containing logs of CreateDataSourceFrom* operations. | VARCHAR |
message
The user-supplied description of the most recent details about creating the DataSource. | VARCHAR |
name
A user-supplied name or description of the DataSource. | VARCHAR |
number_of_files
The number of data files referenced by the DataSource. | BIGINT |
rds_metadata
The datasource details that are specific to Amazon RDS. | STRUCT(
"database" STRUCT(
"instance_identifier" VARCHAR,
"database_name" VARCHAR
),
"database_user_name" VARCHAR,
"select_sql_query" VARCHAR,
"resource_role" VARCHAR,
"service_role" VARCHAR,
"data_pipeline_id" VARCHAR
) |
Show child fields- rds_metadata.data_pipeline_id
The ID of the Data Pipeline instance that is used to carry to copy data from Amazon RDS to Amazon S3. You can use the ID to find details about the instance in the Data Pipeline console. - rds_metadata.database
The database details required to connect to an Amazon RDS. Show child fields- rds_metadata.database.database_name
The name of a database hosted on an RDS DB instance. - rds_metadata.database.instance_identifier
The ID of an RDS DB instance.
- rds_metadata.database_user_name
The username to be used by Amazon ML to connect to database on an Amazon RDS instance. The username should have sufficient permissions to execute an RDSSelectSqlQuery query. - rds_metadata.resource_role
The role (DataPipelineDefaultResourceRole) assumed by an Amazon EC2 instance to carry out the copy task from Amazon RDS to Amazon S3. For more information, see Role templates for data pipelines. - rds_metadata.select_sql_query
The SQL query that is supplied during CreateDataSourceFromRDS. Returns only if Verbose is true in GetDataSourceInput. - rds_metadata.service_role
The role (DataPipelineDefaultRole) assumed by the Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3. For more information, see Role templates for data pipelines.
|
redshift_metadata
Describes the DataSource details specific to Amazon Redshift. | STRUCT(
"redshift_database" STRUCT(
"database_name" VARCHAR,
"cluster_identifier" VARCHAR
),
"database_user_name" VARCHAR,
"select_sql_query" VARCHAR
) |
Show child fields- redshift_metadata.database_user_name
A username to be used by Amazon Machine Learning (Amazon ML)to connect to a database on an Amazon Redshift cluster. The username should have sufficient permissions to execute the RedshiftSelectSqlQuery query. The username should be valid for an Amazon Redshift USER. - redshift_metadata.redshift_database
Describes the database details required to connect to an Amazon Redshift database. Show child fields- redshift_metadata.redshift_database.cluster_identifier
The ID of an Amazon Redshift cluster. - redshift_metadata.redshift_database.database_name
The name of a database hosted on an Amazon Redshift cluster.
- redshift_metadata.select_sql_query
The SQL query that is specified during CreateDataSourceFromRedshift. Returns only if Verbose is true in GetDataSourceInput.
|
role_arn
The Amazon Resource Name (ARN) of an AWS IAM Role, such as the following: arn:aws:iam::account:role/rolename. | VARCHAR |
started_at
The epoch time when Amazon Machine Learning marked the DataSource as INPROGRESS. StartedAt isn't available if the DataSource is in the PENDING state. | TIMESTAMP_S |
status
The current status of the DataSource. This element can have one of the following values: -
PENDING - Amazon ML submitted a request to create a DataSource. -
INPROGRESS - The creation process is underway. -
FAILED - The request to create a DataSource did not run to completion. It is not usable. -
COMPLETED - The creation process completed successfully. -
DELETED - The DataSource is marked as deleted. It is not usable. | VARCHAR |