# -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
# 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
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
from airflow.contrib.operators.qubole_operator import QuboleOperator
from airflow.utils.decorators import apply_defaults
from airflow.contrib.hooks.qubole_check_hook import QuboleCheckHook
from airflow.operators.check_operator import CheckOperator, ValueCheckOperator
from airflow.exceptions import AirflowException
[docs]class QuboleCheckOperator(CheckOperator, QuboleOperator):
"""
Performs checks against Qubole Commands. ``QuboleCheckOperator`` expects
a command that will be executed on QDS.
By default, each value on first row of the result of this Qubole Command
is evaluated using python ``bool`` casting. If any of the
values return ``False``, the check is failed and errors out.
Note that Python bool casting evals the following as ``False``:
* ``False``
* ``0``
* Empty string (``""``)
* Empty list (``[]``)
* Empty dictionary or set (``{}``)
Given a query like ``SELECT COUNT(*) FROM foo``, it will fail only if
the count ``== 0``. You can craft much more complex query that could,
for instance, check that the table has the same number of rows as
the source table upstream, or that the count of today's partition is
greater than yesterday's partition, or that a set of metrics are less
than 3 standard deviation for the 7 day average.
This operator can be used as a data quality check in your pipeline, and
depending on where you put it in your DAG, you have the choice to
stop the critical path, preventing from
publishing dubious data, or on the side and receive email alerts
without stopping the progress of the DAG.
:param qubole_conn_id: Connection id which consists of qds auth_token
:type qubole_conn_id: str
kwargs:
Arguments specific to Qubole command can be referred from QuboleOperator docs.
:results_parser_callable: This is an optional parameter to
extend the flexibility of parsing the results of Qubole
command to the users. This is a python callable which
can hold the logic to parse list of rows returned by Qubole command.
By default, only the values on first row are used for performing checks.
This callable should return a list of records on
which the checks have to be performed.
.. note:: All fields in common with template fields of
QuboleOperator and CheckOperator are template-supported.
"""
template_fields = QuboleOperator.template_fields + CheckOperator.template_fields
template_ext = QuboleOperator.template_ext
ui_fgcolor = '#000'
@apply_defaults
def __init__(self, qubole_conn_id="qubole_default", *args, **kwargs):
sql = get_sql_from_qbol_cmd(kwargs)
super(QuboleCheckOperator, self)\
.__init__(qubole_conn_id=qubole_conn_id, sql=sql, *args, **kwargs)
self.on_failure_callback = QuboleCheckHook.handle_failure_retry
self.on_retry_callback = QuboleCheckHook.handle_failure_retry
def execute(self, context=None):
try:
self.hook = self.get_hook(context=context)
super(QuboleCheckOperator, self).execute(context=context)
except AirflowException as e:
handle_airflow_exception(e, self.get_hook())
def get_db_hook(self):
return self.get_hook()
def get_hook(self, context=None):
if hasattr(self, 'hook') and (self.hook is not None):
return self.hook
else:
return QuboleCheckHook(context=context, *self.args, **self.kwargs)
def __getattribute__(self, name):
if name in QuboleCheckOperator.template_fields:
if name in self.kwargs:
return self.kwargs[name]
else:
return ''
else:
return object.__getattribute__(self, name)
def __setattr__(self, name, value):
if name in QuboleCheckOperator.template_fields:
self.kwargs[name] = value
else:
object.__setattr__(self, name, value)
[docs]class QuboleValueCheckOperator(ValueCheckOperator, QuboleOperator):
"""
Performs a simple value check using Qubole command.
By default, each value on the first row of this
Qubole command is compared with a pre-defined value.
The check fails and errors out if the output of the command
is not within the permissible limit of expected value.
:param qubole_conn_id: Connection id which consists of qds auth_token
:type qubole_conn_id: str
:param pass_value: Expected value of the query results.
:type pass_value: str/int/float
:param tolerance: Defines the permissible pass_value range, for example if
tolerance is 2, the Qubole command output can be anything between
-2*pass_value and 2*pass_value, without the operator erring out.
:type tolerance: int/float
kwargs:
Arguments specific to Qubole command can be referred from QuboleOperator docs.
:results_parser_callable: This is an optional parameter to
extend the flexibility of parsing the results of Qubole
command to the users. This is a python callable which
can hold the logic to parse list of rows returned by Qubole command.
By default, only the values on first row are used for performing checks.
This callable should return a list of records on
which the checks have to be performed.
.. note:: All fields in common with template fields of
QuboleOperator and ValueCheckOperator are template-supported.
"""
template_fields = QuboleOperator.template_fields + ValueCheckOperator.template_fields
template_ext = QuboleOperator.template_ext
ui_fgcolor = '#000'
@apply_defaults
def __init__(self, pass_value, tolerance=None,
qubole_conn_id="qubole_default", *args, **kwargs):
sql = get_sql_from_qbol_cmd(kwargs)
super(QuboleValueCheckOperator, self).__init__(
qubole_conn_id=qubole_conn_id,
sql=sql, pass_value=pass_value, tolerance=tolerance,
*args, **kwargs)
self.on_failure_callback = QuboleCheckHook.handle_failure_retry
self.on_retry_callback = QuboleCheckHook.handle_failure_retry
def execute(self, context=None):
try:
self.hook = self.get_hook(context=context)
super(QuboleValueCheckOperator, self).execute(context=context)
except AirflowException as e:
handle_airflow_exception(e, self.get_hook())
def get_db_hook(self):
return self.get_hook()
def get_hook(self, context=None):
if hasattr(self, 'hook') and (self.hook is not None):
return self.hook
else:
return QuboleCheckHook(context=context, *self.args, **self.kwargs)
def __getattribute__(self, name):
if name in QuboleValueCheckOperator.template_fields:
if name in self.kwargs:
return self.kwargs[name]
else:
return ''
else:
return object.__getattribute__(self, name)
def __setattr__(self, name, value):
if name in QuboleValueCheckOperator.template_fields:
self.kwargs[name] = value
else:
object.__setattr__(self, name, value)
def get_sql_from_qbol_cmd(params):
sql = ''
if 'query' in params:
sql = params['query']
elif 'sql' in params:
sql = params['sql']
return sql
def handle_airflow_exception(airflow_exception, hook):
cmd = hook.cmd
if cmd is not None:
if cmd.is_success:
qubole_command_results = hook.get_query_results()
qubole_command_id = cmd.id
exception_message = '\nQubole Command Id: {qubole_command_id}' \
'\nQubole Command Results:' \
'\n{qubole_command_results}'.format(**locals())
raise AirflowException(str(airflow_exception) + exception_message)
raise AirflowException(airflow_exception.message)