airflow.contrib.operators.bigquery_to_bigquery

Module Contents

class airflow.contrib.operators.bigquery_to_bigquery.BigQueryToBigQueryOperator(source_project_dataset_tables, destination_project_dataset_table, write_disposition='WRITE_EMPTY', create_disposition='CREATE_IF_NEEDED', bigquery_conn_id='bigquery_default', delegate_to=None, labels=None, encryption_configuration=None, *args, **kwargs)[source]

Bases: airflow.models.BaseOperator

Copies data from one BigQuery table to another.

See also

For more details about these parameters: https://cloud.google.com/bigquery/docs/reference/v2/jobs#configuration.copy

Parameters

  • source_project_dataset_tables (list|string) – One or more dotted (project:|project.)<dataset>.<table> BigQuery tables to use as the source data. If <project> is not included, project will be the project defined in the connection json. Use a list if there are multiple source tables. (templated)

  • destination_project_dataset_table (str) – The destination BigQuery table. Format is: (project:|project.)<dataset>.<table> (templated)

  • write_disposition (str) – The write disposition if the table already exists.

  • create_disposition (str) – The create disposition if the table doesn’t exist.

  • bigquery_conn_id (str) – reference to a specific BigQuery hook.

  • delegate_to (str) – The account to impersonate, if any. For this to work, the service account making the request must have domain-wide delegation enabled.

  • labels (dict) – a dictionary containing labels for the job/query, passed to BigQuery

  • encryption_configuration (dict) –

    [Optional] Custom encryption configuration (e.g., Cloud KMS keys). Example:

    encryption_configuration = {
    "kmsKeyName": "projects/testp/locations/us/keyRings/test-kr/cryptoKeys/test-key"
}

template_fields = ['source_project_dataset_tables', 'destination_project_dataset_table', 'labels'][source]
template_ext = ['.sql'][source]
ui_color = #e6f0e4[source]
execute(self, context)[source]

Was this entry helpful?