Get Data Source

machinelearning_get_data_source

R Documentation

Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource¶

Description¶

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.

Usage¶

machinelearning_get_data_source(DataSourceId, Verbose)

Arguments¶

DataSourceId

[required] The ID assigned to the DataSource at creation.

Verbose

Specifies whether the get_data_source operation should return DataSourceSchema.

If true, DataSourceSchema is returned.

If false, DataSourceSchema is not returned.

Value¶

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"
)

Request syntax¶

svc$get_data_source(
  DataSourceId = "string",
  Verbose = TRUE|FALSE
)