Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource
Returns a DataSource that includes metadata and data file information,
as well as the current status of the DataSource.
get_data_source provides results in
normal or verbose format. The verbose format adds the schema description
and the list of files pointed to by the DataSource to the normal format.
machinelearning_get_data_source(DataSourceId, Verbose)
DataSourceId |
[required] The ID assigned to the |
Verbose |
Specifies whether the
If true, If false, |
A list with the following syntax:
list(
DataSourceId = "string",
DataLocationS3 = "string",
DataRearrangement = "string",
CreatedByIamUser = "string",
CreatedAt = as.POSIXct(
"2015-01-01"
),
LastUpdatedAt = as.POSIXct(
"2015-01-01"
),
DataSizeInBytes = 123,
NumberOfFiles = 123,
Name = "string",
Status = "PENDING"|"INPROGRESS"|"FAILED"|"COMPLETED"|"DELETED",
LogUri = "string",
Message = "string",
RedshiftMetadata = list(
RedshiftDatabase = list(
DatabaseName = "string",
ClusterIdentifier = "string"
),
DatabaseUserName = "string",
SelectSqlQuery = "string"
),
RDSMetadata = list(
Database = list(
InstanceIdentifier = "string",
DatabaseName = "string"
),
DatabaseUserName = "string",
SelectSqlQuery = "string",
ResourceRole = "string",
ServiceRole = "string",
DataPipelineId = "string"
),
RoleARN = "string",
ComputeStatistics = TRUE|FALSE,
ComputeTime = 123,
FinishedAt = as.POSIXct(
"2015-01-01"
),
StartedAt = as.POSIXct(
"2015-01-01"
),
DataSourceSchema = "string"
)svc$get_data_source( DataSourceId = "string", Verbose = TRUE|FALSE )
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