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* Enabled mssql * Enabling pylint rules in `mysql.py` from `db_engine_specs`: - added variable to shorten line and enable `line-too-long` - `import-error` seems not prompting anymore - specified exception instead broad-except * Refactored too long line in `oracle.py` from `db_engine_specs`. Enabled too-long-line pylint rule. * Changed fstring into string `pinot.py` to reenable `f-string-without-interpolation` rule. * Enabled `unused-import` rule and changed line to adjust to correct number of characters in `db_engine_specs/postgres.py`. * Enabled unused-import pylint check in `db_engine_specs/presto.py` * Enabled unused-import pylint check in `db_engine_specs/snowflake.py` * Enabled unused-import pylint check in `db_engine_specs/sqlite.py`
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 logging
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import re
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from datetime import datetime
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from typing import Any, List, Optional, Tuple, TYPE_CHECKING
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from sqlalchemy.types import String, UnicodeText
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from superset.db_engine_specs.base import BaseEngineSpec, LimitMethod
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from superset.utils import core as utils
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if TYPE_CHECKING:
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from superset.models.core import Database
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logger = logging.getLogger(__name__)
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class MssqlEngineSpec(BaseEngineSpec):
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engine = "mssql"
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engine_name = "Microsoft SQL"
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limit_method = LimitMethod.WRAP_SQL
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max_column_name_length = 128
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_time_grain_expressions = {
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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) -> str:
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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 == utils.TemporalType.DATE:
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return f"CONVERT(DATE, '{dttm.date().isoformat()}', 23)"
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if tt == utils.TemporalType.DATETIME:
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datetime_formatted = dttm.isoformat(timespec="milliseconds")
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return f"""CONVERT(DATETIME, '{datetime_formatted}', 126)"""
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if tt == utils.TemporalType.SMALLDATETIME:
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datetime_formatted = dttm.isoformat(sep=" ", timespec="seconds")
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return f"""CONVERT(SMALLDATETIME, '{datetime_formatted}', 20)"""
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return None
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@classmethod
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def fetch_data(
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cls, cursor: Any, limit: Optional[int] = None
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) -> List[Tuple[Any, ...]]:
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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_type_mappings = (
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(re.compile(r"^N((VAR)?CHAR|TEXT)", re.IGNORECASE), UnicodeText()),
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(re.compile(r"^((VAR)?CHAR|TEXT|STRING)", re.IGNORECASE), String()),
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)
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@classmethod
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def extract_error_message(cls, ex: Exception) -> str:
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if str(ex).startswith("(8155,"):
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return (
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f"{cls.engine} error: All your SQL functions need to "
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"have an alias on MSSQL. For example: SELECT COUNT(*) AS C1 FROM TABLE1"
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)
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return f"{cls.engine} error: {cls._extract_error_message(ex)}"
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