Method: projects.locations.datasets.exportData

Exports dataset's data to the provided output location. Returns an empty response in the response field when it completes.

HTTP request

POST https://automl.googleapis.com/v1/{name}:exportData

Path parameters

Parameters
name

string

Required. The resource name of the dataset.

Authorization requires the following Google IAM permission on the specified resource name:

  • automl.datasets.export

Request body

The request body contains data with the following structure:

JSON representation 
{
  "outputConfig": {
    object (OutputConfig)
  }
}
Fields
outputConfig

object (OutputConfig)

Required. The desired output location.

Response body

If successful, the response body contains an instance of Operation.

Authorization Scopes

Requires the following OAuth scope:

  • https://www.googleapis.com/auth/cloud-platform

For more information, see the Authentication Overview.

OutputConfig

  • For Translation: CSV file translation.csv, with each line in format: ML_USE,GCS_FILE_PATH GCS_FILE_PATH leads to a .TSV file which describes examples that have given ML_USE, using the following row format per line: TEXT_SNIPPET (in source language) \t TEXT_SNIPPET (in target language)

  • For Tables: Output depends on whether the dataset was imported from Google Cloud Storage or BigQuery. Google Cloud Storage case:

gcsDestination must be set. Exported are CSV file(s) tables_1.csv, tables_2.csv,...,tables_N.csv with each having as header line the table's column names, and all other lines contain values for the header columns. BigQuery case:

bigqueryDestination pointing to a BigQuery project must be set. In the given project a new dataset will be created with name

export_data_<automl-dataset-display-name>_<timestamp-of-export-call> where will be made BigQuery-dataset-name compatible (e.g. most special characters will become underscores), and timestamp will be in YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In that dataset a new table called primary_table will be created, and filled with precisely the same data as this obtained on import.

JSON representation 
{
  "gcsDestination": {
    object (GcsDestination)
  }
}
Fields
gcsDestination

object (GcsDestination)

Required. The Google Cloud Storage location where the output is to be written to. For Image Object Detection, Text Extraction, Video Classification and Tables, in the given directory a new directory will be created with name: export_data-- where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export output will be written into that directory.