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111 lines
4.2 KiB
Python
111 lines
4.2 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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from typing import Any, Dict, Optional
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from urllib import parse
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from sqlalchemy.engine.interfaces import Dialect
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from sqlalchemy.types import TypeEngine
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from superset.db_engine_specs.base import BaseEngineSpec
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class MySQLEngineSpec(BaseEngineSpec):
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engine = "mysql"
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max_column_name_length = 64
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_time_grain_functions = {
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None: "{col}",
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"PT1S": "DATE_ADD(DATE({col}), "
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"INTERVAL (HOUR({col})*60*60 + MINUTE({col})*60"
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" + SECOND({col})) SECOND)",
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"PT1M": "DATE_ADD(DATE({col}), "
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"INTERVAL (HOUR({col})*60 + MINUTE({col})) MINUTE)",
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"PT1H": "DATE_ADD(DATE({col}), " "INTERVAL HOUR({col}) HOUR)",
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"P1D": "DATE({col})",
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"P1W": "DATE(DATE_SUB({col}, " "INTERVAL DAYOFWEEK({col}) - 1 DAY))",
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"P1M": "DATE(DATE_SUB({col}, " "INTERVAL DAYOFMONTH({col}) - 1 DAY))",
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"P0.25Y": "MAKEDATE(YEAR({col}), 1) "
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"+ INTERVAL QUARTER({col}) QUARTER - INTERVAL 1 QUARTER",
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"P1Y": "DATE(DATE_SUB({col}, " "INTERVAL DAYOFYEAR({col}) - 1 DAY))",
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"1969-12-29T00:00:00Z/P1W": "DATE(DATE_SUB({col}, "
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"INTERVAL DAYOFWEEK(DATE_SUB({col}, "
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"INTERVAL 1 DAY)) - 1 DAY))",
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}
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type_code_map: Dict[int, str] = {} # loaded from get_datatype only if needed
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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"STR_TO_DATE('{dttm.date().isoformat()}', '%Y-%m-%d')"
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if tt == "DATETIME":
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return f"""STR_TO_DATE('{dttm.isoformat(sep=" ", timespec="microseconds")}', '%Y-%m-%d %H:%i:%s.%f')""" # pylint: disable=line-too-long
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return None
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@classmethod
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def adjust_database_uri(cls, uri, selected_schema=None):
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if selected_schema:
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uri.database = parse.quote(selected_schema, safe="")
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return uri
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@classmethod
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def get_datatype(cls, type_code: Any) -> Optional[str]:
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if not cls.type_code_map:
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# only import and store if needed at least once
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import MySQLdb # pylint: disable=import-error
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ft = MySQLdb.constants.FIELD_TYPE
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cls.type_code_map = {
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getattr(ft, k): k for k in dir(ft) if not k.startswith("_")
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}
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datatype = type_code
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if isinstance(type_code, int):
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datatype = cls.type_code_map.get(type_code)
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if datatype and isinstance(datatype, str) and datatype:
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return datatype
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return None
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@classmethod
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def epoch_to_dttm(cls) -> str:
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return "from_unixtime({col})"
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@classmethod
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def _extract_error_message(cls, e):
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"""Extract error message for queries"""
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message = str(e)
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try:
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if isinstance(e.args, tuple) and len(e.args) > 1:
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message = e.args[1]
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except Exception: # pylint: disable=broad-except
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pass
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return message
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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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# MySQL dialect started returning long overflowing datatype
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# as in 'VARCHAR(255) COLLATE UTF8MB4_GENERAL_CI'
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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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