airflow bigquery_to_bigquery 源码

airflow bigquery_to_bigquery 代码

文件路径：/airflow/providers/google/cloud/transfers/bigquery_to_bigquery.py

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"""This module contains Google BigQuery to BigQuery operator."""
from __future__ import annotations

import warnings
from typing import TYPE_CHECKING, Sequence

from airflow.models import BaseOperator
from airflow.providers.google.cloud.hooks.bigquery import BigQueryHook
from airflow.providers.google.cloud.links.bigquery import BigQueryTableLink

if TYPE_CHECKING:
    from airflow.utils.context import Context


class BigQueryToBigQueryOperator(BaseOperator):
    """
    Copies data from one BigQuery table to another.

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

    :param source_project_dataset_tables: 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)
    :param destination_project_dataset_table: The destination BigQuery
        table. Format is: ``(project:|project.)<dataset>.<table>`` (templated)
    :param write_disposition: The write disposition if the table already exists.
    :param create_disposition: The create disposition if the table doesn't exist.
    :param gcp_conn_id: (Optional) The connection ID used to connect to Google Cloud.
    :param delegate_to: The account to impersonate using domain-wide delegation of authority,
        if any. For this to work, the service account making the request must have
        domain-wide delegation enabled.
    :param labels: a dictionary containing labels for the job/query,
        passed to BigQuery
    :param encryption_configuration: [Optional] Custom encryption configuration (e.g., Cloud KMS keys).
        **Example**: ::

            encryption_configuration = {
                "kmsKeyName": "projects/testp/locations/us/keyRings/test-kr/cryptoKeys/test-key"
            }
    :param location: The location used for the operation.
    :param impersonation_chain: Optional service account to impersonate using short-term
        credentials, or chained list of accounts required to get the access_token
        of the last account in the list, which will be impersonated in the request.
        If set as a string, the account must grant the originating account
        the Service Account Token Creator IAM role.
        If set as a sequence, the identities from the list must grant
        Service Account Token Creator IAM role to the directly preceding identity, with first
        account from the list granting this role to the originating account (templated).
    """

    template_fields: Sequence[str] = (
        'source_project_dataset_tables',
        'destination_project_dataset_table',
        'labels',
        'impersonation_chain',
    )
    template_ext: Sequence[str] = ('.sql',)
    ui_color = '#e6f0e4'
    operator_extra_links = (BigQueryTableLink(),)

    def __init__(
        self,
        *,
        source_project_dataset_tables: list[str] | str,
        destination_project_dataset_table: str,
        write_disposition: str = 'WRITE_EMPTY',
        create_disposition: str = 'CREATE_IF_NEEDED',
        gcp_conn_id: str = 'google_cloud_default',
        delegate_to: str | None = None,
        labels: dict | None = None,
        encryption_configuration: dict | None = None,
        location: str | None = None,
        impersonation_chain: str | Sequence[str] | None = None,
        **kwargs,
    ) -> None:
        super().__init__(**kwargs)

        self.source_project_dataset_tables = source_project_dataset_tables
        self.destination_project_dataset_table = destination_project_dataset_table
        self.write_disposition = write_disposition
        self.create_disposition = create_disposition
        self.gcp_conn_id = gcp_conn_id
        self.delegate_to = delegate_to
        self.labels = labels
        self.encryption_configuration = encryption_configuration
        self.location = location
        self.impersonation_chain = impersonation_chain

    def execute(self, context: Context) -> None:
        self.log.info(
            'Executing copy of %s into: %s',
            self.source_project_dataset_tables,
            self.destination_project_dataset_table,
        )
        hook = BigQueryHook(
            gcp_conn_id=self.gcp_conn_id,
            delegate_to=self.delegate_to,
            location=self.location,
            impersonation_chain=self.impersonation_chain,
        )

        with warnings.catch_warnings():
            warnings.simplefilter("ignore", DeprecationWarning)
            job_id = hook.run_copy(
                source_project_dataset_tables=self.source_project_dataset_tables,
                destination_project_dataset_table=self.destination_project_dataset_table,
                write_disposition=self.write_disposition,
                create_disposition=self.create_disposition,
                labels=self.labels,
                encryption_configuration=self.encryption_configuration,
            )

            job = hook.get_job(job_id=job_id).to_api_repr()
            conf = job["configuration"]["copy"]["destinationTable"]
            BigQueryTableLink.persist(
                context=context,
                task_instance=self,
                dataset_id=conf["datasetId"],
                project_id=conf["projectId"],
                table_id=conf["tableId"],
            )

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