2025-04-03 10:39:47 +05:30
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# Copyright 2025 Collate
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# Licensed under the Collate Community License, Version 1.0 (the "License");
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2023-07-13 13:35:37 +02:00
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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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2025-04-03 10:39:47 +05:30
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# https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
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2023-07-13 13:35:37 +02:00
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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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"""
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Interfaces with database for all database engine
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supporting sqlalchemy abstraction layer
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"""
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2023-07-14 09:12:46 +02:00
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from sqlalchemy import Column, inspect
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2023-07-13 13:35:37 +02:00
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from metadata.profiler.interface.sqlalchemy.profiler_interface import (
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SQAProfilerInterface,
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)
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class BigQueryProfilerInterface(SQAProfilerInterface):
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"""BigQuery profiler interface"""
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2023-07-14 09:12:46 +02:00
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def _get_struct_columns(self, columns: dict, parent: str):
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""""""
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# pylint: disable=import-outside-toplevel
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from sqlalchemy_bigquery import STRUCT
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columns_list = []
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for key, value in columns.items():
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if not isinstance(value, STRUCT):
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col = Column(f"{parent}.{key}", value)
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2023-12-27 19:13:44 +01:00
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# pylint: disable=protected-access
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col._set_parent(self.table.__table__)
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# pylint: enable=protected-access
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2023-07-14 09:12:46 +02:00
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columns_list.append(col)
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else:
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col = self._get_struct_columns(
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value.__dict__.get("_STRUCT_byname"), f"{parent}.{key}"
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)
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columns_list.extend(col)
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return columns_list
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def get_columns(self) -> Column:
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"""Get columns from table"""
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# pylint: disable=import-outside-toplevel
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from sqlalchemy_bigquery import STRUCT
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columns = []
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for column in inspect(self.table).c:
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if isinstance(column.type, STRUCT):
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columns.extend(
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self._get_struct_columns(
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column.type.__dict__.get("_STRUCT_byname"), column.name
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)
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)
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else:
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columns.append(column)
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return columns
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