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49 lines
1.7 KiB
Python
49 lines
1.7 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.o
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from datetime import datetime
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from typing import Optional
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from superset.db_engine_specs.base import BaseEngineSpec
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from superset.db_engine_specs.hive import HiveEngineSpec
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class DatabricksHiveEngineSpec(HiveEngineSpec):
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engine = "databricks"
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engine_name = "Databricks Interactive Cluster"
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driver = "pyhive"
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_show_functions_column = "function"
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class DatabricksODBCEngineSpec(BaseEngineSpec):
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engine = "databricks"
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engine_name = "Databricks SQL Endpoint"
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driver = "pyodbc"
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# the syntax for the ODBC engine is identical to the Hive one, so
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# we can reuse the expressions from `HiveEngineSpec`
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# pylint: disable=protected-access
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_time_grain_expressions = HiveEngineSpec._time_grain_expressions
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@classmethod
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def convert_dttm(cls, target_type: str, dttm: datetime) -> Optional[str]:
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return HiveEngineSpec.convert_dttm(target_type, dttm)
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@classmethod
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def epoch_to_dttm(cls) -> str:
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return HiveEngineSpec.epoch_to_dttm()
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