georgia-tech-db / eva / #850

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#850

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circleci

americast 
fix metrics logic

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/evadb/executor/create_database_executor.py
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# coding=utf-8
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# Copyright 2018-2023 EvaDB
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# 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, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import pandas as pd
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from evadb.database import EvaDBDatabase




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from evadb.executor.abstract_executor import AbstractExecutor




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from evadb.executor.executor_utils import ExecutorError




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from evadb.models.storage.batch import Batch




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from evadb.parser.create_statement import CreateDatabaseStatement




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from evadb.third_party.databases.interface import get_database_handler




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from evadb.utils.logging_manager import logger




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class CreateDatabaseExecutor(AbstractExecutor):




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    def __init__(self, db: EvaDBDatabase, node: CreateDatabaseStatement):




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        super().__init__(db, node)




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    def exec(self, *args, **kwargs):




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        # Check if database already exists.











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        db_catalog_entry = self.catalog().get_database_catalog_entry(




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            self.node.database_name










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        )










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        if db_catalog_entry is not None:




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            if self.node.if_not_exists:




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                msg = f"{self.node.database_name} already exists, nothing added."




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                yield Batch(pd.DataFrame([msg]))




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                return




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            else:










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                raise ExecutorError(f"{self.node.database_name} already exists.")










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        logger.debug(




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            f"Trying to connect to the provided engine {self.node.engine} with params {self.node.param_dict}"










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        )










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        # Check the validity of database entry.











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        with get_database_handler(self.node.engine, **self.node.param_dict):




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            pass




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        logger.debug(f"Creating database {self.node}")




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        self.catalog().insert_database_catalog_entry(




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            self.node.database_name, self.node.engine, self.node.param_dict










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        )










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        yield Batch(




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            pd.DataFrame(










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                [










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                    f"The database {self.node.database_name} has been successfully created."










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                ]










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            )










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        )
























    

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