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* Re-enable pylint for superset/db_engines/hive.py * re-enable pylint for superset/db_engine_specs/elasticsearch.py * Re-enable superset/db_engine_specs/__init__.py * Re-enable pylint for superset/db_engine_specs/exasol.py
47 lines
1.8 KiB
Python
47 lines
1.8 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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from datetime import datetime
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from typing import Dict, Optional
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from superset.db_engine_specs.base import BaseEngineSpec
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class ElasticSearchEngineSpec(BaseEngineSpec): # pylint: disable=abstract-method
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engine = "elasticsearch"
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time_groupby_inline = True
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time_secondary_columns = True
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allows_joins = False
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allows_subqueries = True
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_time_grain_functions = {
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None: "{col}",
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"PT1S": "HISTOGRAM({col}, INTERVAL 1 SECOND)",
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"PT1M": "HISTOGRAM({col}, INTERVAL 1 MINUTE)",
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"PT1H": "HISTOGRAM({col}, INTERVAL 1 HOUR)",
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"P1D": "HISTOGRAM({col}, INTERVAL 1 DAY)",
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"P1M": "HISTOGRAM({col}, INTERVAL 1 MONTH)",
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"P1Y": "HISTOGRAM({col}, INTERVAL 1 YEAR)",
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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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if target_type.upper() == "DATETIME":
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return f"""CAST('{dttm.isoformat(timespec="seconds")}' AS DATETIME)"""
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return None
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