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)
[docs] def persist_links(self, context: Context) -> None:
project_id, dataset_id, table_id = self.source_project_dataset_table.split(".")
BigQueryTableLink.persist(
context=context,
task_instance=self,
dataset_id=dataset_id,
project_id=project_id,
table_id=table_id,
)