Method toBigQuery

python/ee/batch.py:823–887

Creates a task to export a FeatureCollection to a BigQuery table. This feature is in Preview, and the API and behavior may change significantly. Args: collection: The feature collection to be exported. description: Human-readable name of the task. table: T

(
        collection: _arg_types.FeatureCollection,
        description: str = 'myExportTableTask',
        table: str | None = None,
        overwrite: bool = False,
        append: bool = False,
        selectors: Sequence[str] | str | None = None,
        maxVertices: int | None = None,
        priority: int | None = None,
        **kwargs,
    )

    @staticmethod
    def toBigQuery(
        collection: _arg_types.FeatureCollection,
        description: str = 'myExportTableTask',
        table: str | None = None,
        overwrite: bool = False,
        append: bool = False,
        selectors: Sequence[str] | str | None = None,
        maxVertices: int | None = None,
        priority: int | None = None,
        **kwargs,
    ) -> Task:
      """Creates a task to export a FeatureCollection to a BigQuery table.

      This feature is in Preview, and the API and behavior may change
      significantly.

      Args:
        collection: The feature collection to be exported.
        description: Human-readable name of the task.
        table: The fully-qualifed BigQuery destination table with
          "project_id.dataset_id.table_id" format.
        overwrite: Whether the existing table should be
          overwritten by the results of this export.
          The `overwrite` and `append` parameters cannot be `true`
          simultaneously. The export fails if the table already exists and both
          `overwrite` and `append` are `false`.
        append: Whether table data should be appended if the table already
          exists and has a compatible schema.
        selectors: The list of properties to include in the output, as a list of
          strings or a comma-separated string. By default, all properties are
          included.
        maxVertices: Max number of uncut vertices per geometry; geometries with
          more vertices will be cut into pieces smaller than this size.
        priority: The priority of the task within the project. Higher priority
          tasks are scheduled sooner. Must be an integer between 0 and 9999.
          Defaults to 100.
        **kwargs: Holds other keyword arguments that may have been deprecated.

      Returns:
        An unstarted Task that exports the table.
      """
      if table:
        if (
            not isinstance(table, str)
            or re.fullmatch(r'.+\..+\..+', table) is None
        ):
          raise ee_exception.EEException(
              'The BigQuery table reference must be a string of the form'
              ' "project_id.dataset_id.table_id".'
          )

      config = {
          'description': description,
          'table': table,
          'overwrite': overwrite,
          'append': append,
          'selectors': selectors,
          'maxVertices': maxVertices,