airflow sql 源码

airflow sql 代码

文件路径：/airflow/providers/common/sql/sensors/sql.py

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# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
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# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations

from typing import Any, Sequence

from packaging.version import Version

from airflow import AirflowException
from airflow.hooks.base import BaseHook
from airflow.providers.common.sql.hooks.sql import DbApiHook, _backported_get_hook
from airflow.sensors.base import BaseSensorOperator
from airflow.version import version


class SqlSensor(BaseSensorOperator):
    """
    Runs a sql statement repeatedly until a criteria is met. It will keep trying until
    success or failure criteria are met, or if the first cell is not in (0, '0', '', None).
    Optional success and failure callables are called with the first cell returned as the argument.
    If success callable is defined the sensor will keep retrying until the criteria is met.
    If failure callable is defined and the criteria is met the sensor will raise AirflowException.
    Failure criteria is evaluated before success criteria. A fail_on_empty boolean can also
    be passed to the sensor in which case it will fail if no rows have been returned

    :param conn_id: The connection to run the sensor against
    :param sql: The sql to run. To pass, it needs to return at least one cell
        that contains a non-zero / empty string value.
    :param parameters: The parameters to render the SQL query with (optional).
    :param success: Success criteria for the sensor is a Callable that takes first_cell
        as the only argument, and returns a boolean (optional).
    :param failure: Failure criteria for the sensor is a Callable that takes first_cell
        as the only argument and return a boolean (optional).
    :param fail_on_empty: Explicitly fail on no rows returned.
    :param hook_params: Extra config params to be passed to the underlying hook.
            Should match the desired hook constructor params.
    """

    template_fields: Sequence[str] = ('sql',)
    template_ext: Sequence[str] = (
        '.hql',
        '.sql',
    )
    ui_color = '#7c7287'

    def __init__(
        self,
        *,
        conn_id,
        sql,
        parameters=None,
        success=None,
        failure=None,
        fail_on_empty=False,
        hook_params=None,
        **kwargs,
    ):
        self.conn_id = conn_id
        self.sql = sql
        self.parameters = parameters
        self.success = success
        self.failure = failure
        self.fail_on_empty = fail_on_empty
        self.hook_params = hook_params
        super().__init__(**kwargs)

    def _get_hook(self):
        conn = BaseHook.get_connection(self.conn_id)
        if Version(version) >= Version('2.3'):
            # "hook_params" were introduced to into "get_hook()" only in Airflow 2.3.
            hook = conn.get_hook(hook_params=self.hook_params)  # ignore airflow compat check
        else:
            # For supporting Airflow versions < 2.3, we backport "get_hook()" method. This should be removed
            # when "apache-airflow-providers-common-sql" will depend on Airflow >= 2.3.
            hook = _backported_get_hook(conn, hook_params=self.hook_params)
        if not isinstance(hook, DbApiHook):
            raise AirflowException(
                f'The connection type is not supported by {self.__class__.__name__}. '
                f'The associated hook should be a subclass of `DbApiHook`. Got {hook.__class__.__name__}'
            )
        return hook

    def poke(self, context: Any):
        hook = self._get_hook()

        self.log.info('Poking: %s (with parameters %s)', self.sql, self.parameters)
        records = hook.get_records(self.sql, self.parameters)
        if not records:
            if self.fail_on_empty:
                raise AirflowException("No rows returned, raising as per fail_on_empty flag")
            else:
                return False
        first_cell = records[0][0]
        if self.failure is not None:
            if callable(self.failure):
                if self.failure(first_cell):
                    raise AirflowException(f"Failure criteria met. self.failure({first_cell}) returned True")
            else:
                raise AirflowException(f"self.failure is present, but not callable -> {self.failure}")
        if self.success is not None:
            if callable(self.success):
                return self.success(first_cell)
            else:
                raise AirflowException(f"self.success is present, but not callable -> {self.success}")
        return bool(first_cell)

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