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* Refactor db_engine_specs into package * Rename bigquery class and add epoch funcs * Fix flake8 errors * Dynamically load all engine specs * Fix linting errors and unit tests * Implement Snowflake epoch time funcs * Implement Teradata epoch time func * Fix presto datasource query and remove unused import * Fix broken datasource query * Add mypy ignore for false positive * Add missing license files * Make create_time_grains_tuple public * Fix flake8 quote * Fix incorrect licence header
108 lines
4.0 KiB
Python
108 lines
4.0 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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# pylint: disable=C,R,W
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from typing import Dict
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from urllib import parse
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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}), '
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'INTERVAL HOUR({col}) HOUR)',
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'P1D': 'DATE({col})',
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'P1W': 'DATE(DATE_SUB({col}, '
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'INTERVAL DAYOFWEEK({col}) - 1 DAY))',
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'P1M': 'DATE(DATE_SUB({col}, '
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'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}, '
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'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, dttm):
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if target_type.upper() in ('DATETIME', 'DATE'):
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return "STR_TO_DATE('{}', '%Y-%m-%d %H:%i:%s')".format(
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dttm.strftime('%Y-%m-%d %H:%M:%S'))
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return "'{}'".format(dttm.strftime('%Y-%m-%d %H:%M:%S'))
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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):
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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
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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
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for k in dir(ft)
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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 len(datatype):
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return datatype
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@classmethod
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def epoch_to_dttm(cls):
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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:
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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(cls, sqla_column_type, dialect):
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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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