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ec86d9de17
* Enable lint checking for files in db_engine_spec that have few to no lint issues * Enable lint and fix issue in db_engine_spec/mysql.py * Enable pylint and fix lint for db_engine_spec/pinot.py * Enable lint and fix issues for db_engine_specs/hive.py * Enable lint and fix for db_engine_spec/presto.py * Re-enable lint on base.py, fix/disable specific failures, including one bad method signature * Make flake8 happy after a number of pylint fixes * Update db_engine_spec_test test cases related to Presto to support different method naming * automated reformatting * One more pylint disable for druid.py * Find the magic invocation that makes all the lint tools happy
84 lines
3.4 KiB
Python
84 lines
3.4 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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from datetime import datetime
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import re
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from typing import List, Optional, Tuple
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from sqlalchemy.engine.interfaces import Dialect
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from sqlalchemy.types import String, TypeEngine, UnicodeText
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from superset.db_engine_specs.base import BaseEngineSpec, LimitMethod
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class MssqlEngineSpec(BaseEngineSpec):
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engine = "mssql"
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epoch_to_dttm = "dateadd(S, {col}, '1970-01-01')"
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limit_method = LimitMethod.WRAP_SQL
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max_column_name_length = 128
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_time_grain_functions = {
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None: "{col}",
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"PT1S": "DATEADD(second, DATEDIFF(second, '2000-01-01', {col}), '2000-01-01')",
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"PT1M": "DATEADD(minute, DATEDIFF(minute, 0, {col}), 0)",
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"PT5M": "DATEADD(minute, DATEDIFF(minute, 0, {col}) / 5 * 5, 0)",
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"PT10M": "DATEADD(minute, DATEDIFF(minute, 0, {col}) / 10 * 10, 0)",
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"PT15M": "DATEADD(minute, DATEDIFF(minute, 0, {col}) / 15 * 15, 0)",
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"PT0.5H": "DATEADD(minute, DATEDIFF(minute, 0, {col}) / 30 * 30, 0)",
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"PT1H": "DATEADD(hour, DATEDIFF(hour, 0, {col}), 0)",
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"P1D": "DATEADD(day, DATEDIFF(day, 0, {col}), 0)",
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"P1W": "DATEADD(week, DATEDIFF(week, 0, {col}), 0)",
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"P1M": "DATEADD(month, DATEDIFF(month, 0, {col}), 0)",
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"P0.25Y": "DATEADD(quarter, DATEDIFF(quarter, 0, {col}), 0)",
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"P1Y": "DATEADD(year, DATEDIFF(year, 0, {col}), 0)",
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}
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@classmethod
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def convert_dttm(cls, target_type: str, dttm: datetime) -> str:
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return "CONVERT(DATETIME, '{}', 126)".format(dttm.isoformat())
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@classmethod
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def fetch_data(cls, cursor, limit: int) -> List[Tuple]:
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data = super().fetch_data(cursor, limit)
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if data and type(data[0]).__name__ == "Row":
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data = [[elem for elem in r] for r in data]
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return data
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column_types = [
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(String(), re.compile(r"^(?<!N)((VAR){0,1}CHAR|TEXT|STRING)", re.IGNORECASE)),
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(UnicodeText(), re.compile(r"^N((VAR){0,1}CHAR|TEXT)", re.IGNORECASE)),
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]
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@classmethod
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def get_sqla_column_type(cls, type_: str) -> Optional[TypeEngine]:
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for sqla_type, regex in cls.column_types:
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if regex.match(type_):
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return sqla_type
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return None
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@classmethod
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def column_datatype_to_string(
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cls, sqla_column_type: TypeEngine, dialect: Dialect
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) -> str:
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datatype = super().column_datatype_to_string(sqla_column_type, dialect)
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# MSSQL returns long overflowing datatype
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# as in 'VARCHAR(255) COLLATE SQL_LATIN1_GENERAL_CP1_CI_AS'
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# and we don't need the verbose collation type
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str_cutoff = " COLLATE "
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if str_cutoff in datatype:
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datatype = datatype.split(str_cutoff)[0]
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return datatype
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