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"""
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This file implements databricks handling, This functionality will rely on databricks-sql-connector
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LICENSE (MIT)
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Copyright 2016-2020, The Phi Technology LLC
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Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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@TODO:
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- Migrate SQLite to SQL hierarchy
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- Include Write in Chunks from pandas
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"""
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import os
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import sqlalchemy
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# from transport.common import Reader,Writer
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import pandas as pd
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class Bricks:
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"""
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:host
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:token
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:database
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:cluster_path
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:table
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"""
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_catalog = _args['catalog']
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sql = f'SELECT * FROM {table}'
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if limit :
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sql = sql + f' LIMIT {limit}'
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if 'sql' in _args or 'table' in _args :
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return self.apply(sql)
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else:
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return pd.DataFrame()
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pass
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class Writer(Bricks):
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def __init__(self,**_args):
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super().__init__(**_args)
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def write(self,_data,**_args):
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"""
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This data will write data to data-bricks against a given table. If the table is not specified upon initiazation, it can be specified here
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_data: data frame to push to databricks
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_args: chunks, table, schema
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"""
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_schema = self._schema if 'schema' not in _args else _args['schema']
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_table = self._table if 'table' not in _args else _args['table']
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_df = _data if type(_data) == pd.DataFrame else _data
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if type(_df) == dict :
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_df = [_df]
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if type(_df) == list :
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_df = pd.DataFrame(_df)
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_df.to_sql(
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name=_table,schema=_schema,
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con=self._engine,if_exists='append',index=False);
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pass
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