| # 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. |
| import logging |
| import re |
| from datetime import datetime |
| from typing import Any, List, Optional, Tuple, TYPE_CHECKING |
| |
| from sqlalchemy.types import String, UnicodeText |
| |
| from superset.db_engine_specs.base import BaseEngineSpec, LimitMethod |
| from superset.utils import core as utils |
| |
| if TYPE_CHECKING: |
| from superset.models.core import Database |
| |
| logger = logging.getLogger(__name__) |
| |
| |
| class MssqlEngineSpec(BaseEngineSpec): |
| engine = "mssql" |
| engine_name = "Microsoft SQL" |
| limit_method = LimitMethod.WRAP_SQL |
| max_column_name_length = 128 |
| |
| _time_grain_expressions = { |
| 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 epoch_to_dttm(cls) -> str: |
| return "dateadd(S, {col}, '1970-01-01')" |
| |
| @classmethod |
| def convert_dttm(cls, target_type: str, dttm: datetime) -> Optional[str]: |
| tt = target_type.upper() |
| if tt == utils.TemporalType.DATE: |
| return f"CONVERT(DATE, '{dttm.date().isoformat()}', 23)" |
| if tt == utils.TemporalType.DATETIME: |
| datetime_formatted = dttm.isoformat(timespec="milliseconds") |
| return f"""CONVERT(DATETIME, '{datetime_formatted}', 126)""" |
| if tt == utils.TemporalType.SMALLDATETIME: |
| datetime_formatted = dttm.isoformat(sep=" ", timespec="seconds") |
| return f"""CONVERT(SMALLDATETIME, '{datetime_formatted}', 20)""" |
| return None |
| |
| @classmethod |
| def fetch_data( |
| cls, cursor: Any, limit: Optional[int] = None |
| ) -> List[Tuple[Any, ...]]: |
| data = super().fetch_data(cursor, limit) |
| # Lists of `pyodbc.Row` need to be unpacked further |
| return cls.pyodbc_rows_to_tuples(data) |
| |
| column_type_mappings = ( |
| (re.compile(r"^N((VAR)?CHAR|TEXT)", re.IGNORECASE), UnicodeText()), |
| (re.compile(r"^((VAR)?CHAR|TEXT|STRING)", re.IGNORECASE), String()), |
| ) |
| |
| @classmethod |
| def extract_error_message(cls, ex: Exception) -> str: |
| if str(ex).startswith("(8155,"): |
| return ( |
| f"{cls.engine} error: All your SQL functions need to " |
| "have an alias on MSSQL. For example: SELECT COUNT(*) AS C1 FROM TABLE1" |
| ) |
| return f"{cls.engine} error: {cls._extract_error_message(ex)}" |