LoaderQuickSetup

class google_pandas_load.loader_quick_setup.LoaderQuickSetup(project_id: Optional[str] = None, dataset_name: Optional[str] = None, bucket_name: Optional[str] = None, bucket_dir_path: Optional[str] = None, credentials: Optional[google.auth.credentials.Credentials] = None, local_dir_path: Optional[str] = None, separator: Optional[str] = '|', chunk_size: Optional[int] = 268435456, timeout: Optional[int] = 60)[source]

Bases: google_pandas_load.loader.Loader

The purpose of this class is to quickly set up a loader.

An instance of LoaderQuickSetup is simply an instance of the base class built with the following arguments:

bq_client=bq_client
dataset_id=dataset_id
gs_client=gs_client
bucket_name=bucket_name
bucket_dir_path=bucket_dir_path
local_dir_path=local_dir_path
separator=separator
chunk_size=chunk_size
timeout=timeout

where

bq_client = google.cloud.bigquery.Client(
    project=project_id,
    credentials=credentials)
dataset_id = project_id + '.' + dataset_name
gs_client = google.cloud.storage.Client(
    project=project_id,
    credentials=credentials)
Parameters

  • project_id (str, optional) – The project id.

  • dataset_name (str, optional) – The dataset name.

  • bucket_name (str, optional) – The bucket name.

  • bucket_dir_path (str, optional) – See base class.

  • credentials (google.auth.credentials.Credentials) – Credentials used to build the bq_client and the gs_client. If not passed, falls back to the default inferred from the environment.

  • local_dir_path (str, optional) – See base class.

  • separator (str, optional) – See base class.

  • chunk_size (int, optional) – See base class.

  • timeout (int, optional) – See base class.

property project_id: str

The project_id given in the argument.

Type

str