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8fc814fc62
* Enable running of tests in tests/db_engine_specs * Resolve application context errors * Refactor and add tests for pyodbc.Row conversion * Appease isort, regardless of isort:skip
93 lines
3.8 KiB
Python
93 lines
3.8 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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import re
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from datetime import datetime
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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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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 epoch_to_dttm(cls):
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return "dateadd(S, {col}, '1970-01-01')"
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@classmethod
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def convert_dttm(cls, target_type: str, dttm: datetime) -> Optional[str]:
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tt = target_type.upper()
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if tt == "DATE":
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return f"CONVERT(DATE, '{dttm.date().isoformat()}', 23)"
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if tt == "DATETIME":
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return f"""CONVERT(DATETIME, '{dttm.isoformat(timespec="milliseconds")}', 126)""" # pylint: disable=line-too-long
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if tt == "SMALLDATETIME":
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return f"""CONVERT(SMALLDATETIME, '{dttm.isoformat(sep=" ", timespec="seconds")}', 20)""" # pylint: disable=line-too-long
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return None
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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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# Lists of `pyodbc.Row` need to be unpacked further
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return cls.pyodbc_rows_to_tuples(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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