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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
53 lines
1.8 KiB
Python
53 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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# pylint: disable=C,R,W
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from superset.db_engine_specs.base import BaseEngineSpec
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class ImpalaEngineSpec(BaseEngineSpec):
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"""Engine spec for Cloudera's Impala"""
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engine = 'impala'
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time_grain_functions = {
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None: '{col}',
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'PT1M': "TRUNC({col}, 'MI')",
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'PT1H': "TRUNC({col}, 'HH')",
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'P1D': "TRUNC({col}, 'DD')",
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'P1W': "TRUNC({col}, 'WW')",
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'P1M': "TRUNC({col}, 'MONTH')",
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'P0.25Y': "TRUNC({col}, 'Q')",
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'P1Y': "TRUNC({col}, 'YYYY')",
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}
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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 convert_dttm(cls, target_type, dttm):
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tt = target_type.upper()
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if tt == 'DATE':
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return "'{}'".format(dttm.strftime('%Y-%m-%d'))
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return "'{}'".format(dttm.strftime('%Y-%m-%d %H:%M:%S'))
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@classmethod
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def get_schema_names(cls, inspector):
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schemas = [row[0] for row in inspector.engine.execute('SHOW SCHEMAS')
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if not row[0].startswith('_')]
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return schemas
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