Files
superset2/superset/db_engine_specs/mssql.py
Ville Brofeldt 95291facff Break up db_engine_specs (#7676)
* Refactor db_engine_specs into package

* Rename bigquery class and add epoch funcs

* Fix flake8 errors

* Dynamically load all engine specs

* Fix linting errors and unit tests

* Implement Snowflake epoch time funcs

* Implement Teradata epoch time func

* Fix presto datasource query and remove unused import

* Fix broken datasource query

* Add mypy ignore for false positive

* Add missing license files

* Make create_time_grains_tuple public

* Fix flake8 quote

* Fix incorrect licence header
2019-06-08 11:27:13 -07:00

69 lines
2.7 KiB
Python

# 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.
# pylint: disable=C,R,W
import re
from sqlalchemy.types import String, UnicodeText
from superset.db_engine_specs.base import BaseEngineSpec, LimitMethod
class MssqlEngineSpec(BaseEngineSpec):
engine = 'mssql'
epoch_to_dttm = "dateadd(S, {col}, '1970-01-01')"
limit_method = LimitMethod.WRAP_SQL
max_column_name_length = 128
time_grain_functions = {
None: '{col}',
'PT1S': "DATEADD(second, DATEDIFF(second, '2000-01-01', {col}), '2000-01-01')",
'PT1M': 'DATEADD(minute, DATEDIFF(minute, 0, {col}), 0)',
'PT5M': 'DATEADD(minute, DATEDIFF(minute, 0, {col}) / 5 * 5, 0)',
'PT10M': 'DATEADD(minute, DATEDIFF(minute, 0, {col}) / 10 * 10, 0)',
'PT15M': 'DATEADD(minute, DATEDIFF(minute, 0, {col}) / 15 * 15, 0)',
'PT0.5H': 'DATEADD(minute, DATEDIFF(minute, 0, {col}) / 30 * 30, 0)',
'PT1H': 'DATEADD(hour, DATEDIFF(hour, 0, {col}), 0)',
'P1D': 'DATEADD(day, DATEDIFF(day, 0, {col}), 0)',
'P1W': 'DATEADD(week, DATEDIFF(week, 0, {col}), 0)',
'P1M': 'DATEADD(month, DATEDIFF(month, 0, {col}), 0)',
'P0.25Y': 'DATEADD(quarter, DATEDIFF(quarter, 0, {col}), 0)',
'P1Y': 'DATEADD(year, DATEDIFF(year, 0, {col}), 0)',
}
@classmethod
def convert_dttm(cls, target_type, dttm):
return "CONVERT(DATETIME, '{}', 126)".format(dttm.isoformat())
@classmethod
def fetch_data(cls, cursor, limit):
data = super(MssqlEngineSpec, cls).fetch_data(cursor, limit)
if data and type(data[0]).__name__ == 'Row':
data = [[elem for elem in r] for r in data]
return data
column_types = [
(String(), re.compile(r'^(?<!N)((VAR){0,1}CHAR|TEXT|STRING)', re.IGNORECASE)),
(UnicodeText(), re.compile(r'^N((VAR){0,1}CHAR|TEXT)', re.IGNORECASE)),
]
@classmethod
def get_sqla_column_type(cls, type_):
for sqla_type, regex in cls.column_types:
if regex.match(type_):
return sqla_type
return None