#13974 handle for hyphen in schema and median function (#14834)

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NiharDoshi99 2024-01-24 15:57:36 +05:30 committed by GitHub
parent 12bc515aca
commit 2efa0c9e28
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7 changed files with 149 additions and 0 deletions

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@ -24,6 +24,9 @@ from metadata.generated.schema.entity.services.connections.database.databricksCo
from metadata.generated.schema.entity.services.connections.database.datalakeConnection import (
DatalakeConnection,
)
from metadata.generated.schema.entity.services.connections.database.mariaDBConnection import (
MariaDBConnection,
)
from metadata.generated.schema.entity.services.connections.database.singleStoreConnection import (
SingleStoreConnection,
)
@ -47,6 +50,9 @@ from metadata.profiler.interface.sqlalchemy.bigquery.profiler_interface import (
from metadata.profiler.interface.sqlalchemy.databricks.profiler_interface import (
DatabricksProfilerInterface,
)
from metadata.profiler.interface.sqlalchemy.mariadb.profiler_interface import (
MariaDBProfilerInterface,
)
from metadata.profiler.interface.sqlalchemy.profiler_interface import (
SQAProfilerInterface,
)
@ -100,6 +106,7 @@ profilers = {
BigQueryConnection.__name__: BigQueryProfilerInterface,
SingleStoreConnection.__name__: SingleStoreProfilerInterface,
DatalakeConnection.__name__: PandasProfilerInterface,
MariaDBConnection.__name__: MariaDBProfilerInterface,
SnowflakeConnection.__name__: SnowflakeProfilerInterface,
TrinoConnection.__name__: TrinoProfilerInterface,
UnityCatalogConnection.__name__: UnityCatalogProfilerInterface,

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@ -0,0 +1,85 @@
# Copyright 2021 Collate
# Licensed 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.
"""
Interfaces with database for all database engine
supporting sqlalchemy abstraction layer
"""
from typing import List
from sqlalchemy.exc import ProgrammingError
from metadata.profiler.interface.sqlalchemy.profiler_interface import (
SQAProfilerInterface,
handle_query_exception,
)
from metadata.profiler.metrics.registry import Metrics
from metadata.profiler.processor.runner import QueryRunner
from metadata.profiler.source.mariadb.metrics.window.first_quartile import (
MariaDBFirstQuartile,
)
from metadata.profiler.source.mariadb.metrics.window.median import MariaDBMedian
from metadata.profiler.source.mariadb.metrics.window.third_quartile import (
MariaDBThirdQuartile,
)
from metadata.utils.logger import profiler_interface_registry_logger
logger = profiler_interface_registry_logger()
class MariaDBProfilerInterface(SQAProfilerInterface):
"""
Interface to interact with registry supporting
sqlalchemy.
"""
def _compute_window_metrics(
self,
metrics: List[Metrics],
runner: QueryRunner,
*args,
**kwargs,
):
"""Given a list of metrics, compute the given results
and returns the values
Args:
column: the column to compute the metrics against
metrics: list of metrics to compute
Returns:
dictionnary of results
"""
session = kwargs.get("session")
column = kwargs.get("column")
if not metrics:
return None
try:
# we patch the metrics at runtime to use the MariaDB specific functions
# as we can't compile the query based on the dialect as it return `mysql`
metrics = [MariaDBFirstQuartile, MariaDBMedian, MariaDBThirdQuartile] # type: ignore
row = runner.select_first_from_sample(
*[metric(column).fn() for metric in metrics],
)
if row:
return dict(row)
except ProgrammingError:
logger.info(
f"Skipping window metrics for {runner.table.__tablename__}.{column.name} due to overflow"
)
return None
except Exception as exc:
msg = f"Error trying to compute profile for {runner.table.__tablename__}.{column.name}: {exc}"
handle_query_exception(msg, exc, session)
return None

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@ -0,0 +1,20 @@
"""Median function for MariaDB"""
from sqlalchemy.ext.compiler import compiles
from sqlalchemy.sql.functions import FunctionElement
from metadata.profiler.metrics.core import CACHE
class MariaDBMedianFn(FunctionElement):
inherit_cache = CACHE
@compiles(MariaDBMedianFn)
def _(elements, compiler, **kwargs): # pylint: disable=unused-argument
col = compiler.process(elements.clauses.clauses[0])
percentile = elements.clauses.clauses[2].value
# According to the documentation available at https://mariadb.com/kb/en/median/#description,
# the PERCENTILE_CONT function can be utilized to calculate the median. Therefore, it is
# being used in this context.
return f"PERCENTILE_CONT({percentile:.2f}) WITHIN GROUP (ORDER BY {col}) OVER()"

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@ -0,0 +1,10 @@
"""Override first quartile metric definition for MariaDB"""
from metadata.profiler.metrics.window.first_quartile import FirstQuartile
from metadata.profiler.source.mariadb.functions.median import MariaDBMedianFn
class MariaDBFirstQuartile(FirstQuartile):
def _compute_sqa_fn(self, column, table, percentile):
"""Generic method to compute the quartile using sqlalchemy"""
return MariaDBMedianFn(column, table, percentile)

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@ -0,0 +1,10 @@
"""Override first quartile metric definition for MariaDB"""
from metadata.profiler.metrics.window.median import Median
from metadata.profiler.source.mariadb.functions.median import MariaDBMedianFn
class MariaDBMedian(Median):
def _compute_sqa_fn(self, column, table, percentile):
"""Generic method to compute the quartile using sqlalchemy"""
return MariaDBMedianFn(column, table, percentile)

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@ -0,0 +1,10 @@
"""Override first quartile metric definition for MariaDB"""
from metadata.profiler.metrics.window.third_quartile import ThirdQuartile
from metadata.profiler.source.mariadb.functions.median import MariaDBMedianFn
class MariaDBThirdQuartile(ThirdQuartile):
def _compute_sqa_fn(self, column, table, percentile):
"""Generic method to compute the quartile using sqlalchemy"""
return MariaDBMedianFn(column, table, percentile)

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@ -39,6 +39,9 @@ from metadata.generated.schema.entity.services.connections.database.databricksCo
from metadata.generated.schema.entity.services.connections.database.datalakeConnection import (
DatalakeConnection,
)
from metadata.generated.schema.entity.services.connections.database.mariaDBConnection import (
MariaDBConnection,
)
from metadata.generated.schema.entity.services.connections.database.singleStoreConnection import (
SingleStoreConnection,
)
@ -75,6 +78,9 @@ from metadata.profiler.interface.sqlalchemy.bigquery.profiler_interface import (
from metadata.profiler.interface.sqlalchemy.databricks.profiler_interface import (
DatabricksProfilerInterface,
)
from metadata.profiler.interface.sqlalchemy.mariadb.profiler_interface import (
MariaDBProfilerInterface,
)
from metadata.profiler.interface.sqlalchemy.profiler_interface import (
SQAProfilerInterface,
)
@ -369,6 +375,7 @@ class ProfilerInterfaceTest(TestCase):
TrinoConnection.__name__: TrinoProfilerInterface,
UnityCatalogConnection.__name__: UnityCatalogProfilerInterface,
DatabricksConnection.__name__: DatabricksProfilerInterface,
MariaDBConnection.__name__: MariaDBProfilerInterface,
}
# Register profiles