| Column Name | Column Data Type |
eq Input Column
The equal to operator. The DataSource results will have FilterVariable values that exactly match the value specified with EQ. | VARCHAR |
filter_variable Input Column
Use one of the following variables to filter a list of DataSource: -
CreatedAt - Sets the search criteria to DataSource creation dates. -
Status - Sets the search criteria to DataSource statuses. -
Name - Sets the search criteria to the contents of DataSource Name. -
DataUri - Sets the search criteria to the URI of data files used to create the DataSource. The URI can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory. -
IAMUser - Sets the search criteria to the user account that invoked the DataSource creation. | VARCHAR |
ge Input Column
The greater than or equal to operator. The DataSource results will have FilterVariable values that are greater than or equal to the value specified with GE. | VARCHAR |
gt Input Column
The greater than operator. The DataSource results will have FilterVariable values that are greater than the value specified with GT. | VARCHAR |
le Input Column
The less than or equal to operator. The DataSource results will have FilterVariable values that are less than or equal to the value specified with LE. | VARCHAR |
lt Input Column
The less than operator. The DataSource results will have FilterVariable values that are less than the value specified with LT. | VARCHAR |
ne Input Column
The not equal to operator. The DataSource results will have FilterVariable values not equal to the value specified with NE. | VARCHAR |
prefix Input Column
A string that is found at the beginning of a variable, such as Name or Id. For example, a DataSource could have the Name 2014-09-09-HolidayGiftMailer. To search for this DataSource, select Name for the FilterVariable and any of the following strings for the Prefix: -
2014-09 -
2014-09-09 -
2014-09-09-Holiday | VARCHAR |
sort_order Input Column
A two-value parameter that determines the sequence of the resulting list of DataSource. -
asc - Arranges the list in ascending order (A-Z, 0-9). -
dsc - Arranges the list in descending order (Z-A, 9-0). Results are sorted by FilterVariable. | 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 |
compute_statistics
The parameter is true if statistics need to be generated from the observation data. | BOOLEAN |
compute_time
Long integer type that is a 64-bit signed number. | 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 and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource. | 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 number of observations contained in the data files that the DataSource references. | BIGINT |
data_source_id
The ID that is assigned to the DataSource during creation. | VARCHAR |
finished_at
A timestamp represented in epoch time. | TIMESTAMP_S |
last_updated_at
The time of the most recent edit to the BatchPrediction. The time is expressed in epoch time. | TIMESTAMP_S |
message
A 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
A timestamp represented in epoch time. | TIMESTAMP_S |
status
The current status of the DataSource. This element can have one of the following values: -
PENDING - Amazon Machine Learning (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 |