Source code for airflow.providers.google.cloud.transfers.bigquery_to_mssql

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"""This module contains Google BigQuery to MSSQL operator."""

from __future__ import annotations

import warnings
from collections.abc import Sequence
from typing import TYPE_CHECKING

from airflow.exceptions import AirflowProviderDeprecationWarning
from airflow.providers.google.cloud.links.bigquery import BigQueryTableLink
from airflow.providers.google.cloud.transfers.bigquery_to_sql import BigQueryToSqlBaseOperator
from airflow.providers.microsoft.mssql.hooks.mssql import MsSqlHook

if TYPE_CHECKING:
    from airflow.utils.context import Context


[docs]class BigQueryToMsSqlOperator(BigQueryToSqlBaseOperator): """ Fetch data from a BigQuery table (alternatively fetch selected columns) and insert it into a MSSQL table. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:BigQueryToMsSqlOperator` :param source_project_dataset_table: A dotted ``<project>.<dataset>.<table>``: the big query table of origin :param mssql_table: target MsSQL table. It is deprecated: use target_table_name instead. (templated) :param target_table_name: target MsSQL table. It takes precedence over mssql_table. (templated) :param mssql_conn_id: reference to a specific mssql hook .. warning:: The `mssql_table` parameter has been deprecated. Use `target_table_name` instead. """
[docs] template_fields: Sequence[str] = ( *BigQueryToSqlBaseOperator.template_fields, "source_project_dataset_table", )
def __init__( self, *, source_project_dataset_table: str, mssql_table: str | None = None, target_table_name: str | None = None, mssql_conn_id: str = "mssql_default", **kwargs, ) -> None: if mssql_table is not None: warnings.warn( "The `mssql_table` parameter has been deprecated. Use `target_table_name` instead.", AirflowProviderDeprecationWarning, stacklevel=2, ) if target_table_name is not None: raise ValueError( f"Cannot set both arguments: mssql_table={mssql_table!r} and " f"target_table_name={target_table_name!r}." ) target_table_name = mssql_table try: _, dataset_id, table_id = source_project_dataset_table.split(".") except ValueError: raise ValueError( f"Could not parse {source_project_dataset_table} as <project>.<dataset>.<table>" ) from None super().__init__( target_table_name=target_table_name, dataset_table=f"{dataset_id}.{table_id}", **kwargs, ) self.mssql_conn_id = mssql_conn_id self.source_project_dataset_table = source_project_dataset_table
[docs] def get_sql_hook(self) -> MsSqlHook: return MsSqlHook(schema=self.database, mssql_conn_id=self.mssql_conn_id)

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