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58 lines
2.1 KiB
Python
58 lines
2.1 KiB
Python
# Copyright 2025 Collate
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# Licensed under the Collate Community License, Version 1.0 (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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# https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
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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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Helper module to handle data sampling for the profiler
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"""
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from sqlalchemy import Column, text
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from metadata.ingestion.source.database.databricks.connection import (
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get_connection as databricks_get_connection,
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)
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from metadata.profiler.orm.types.custom_array import CustomArray
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from metadata.sampler.sqlalchemy.sampler import SQASampler
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class DatabricksSamplerInterface(SQASampler):
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def __init__(self, *args, **kwargs):
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"""Initialize with a single Databricks connection"""
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super().__init__(*args, **kwargs)
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self.connection = databricks_get_connection(self.service_connection_config)
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def get_client(self):
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"""client is the session for SQA"""
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client = super().get_client()
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self.set_catalog(client)
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return client
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def _handle_array_column(self, column: Column) -> bool:
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"""Check if a column is an array type"""
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return isinstance(column.type, CustomArray)
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def _get_slice_expression(self, column: Column):
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"""Generate SQL expression to slice array elements at query level
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Args:
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column_name: Name of the column
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max_elements: Maximum number of elements to extract
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Returns:
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SQL expression string for array slicing
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"""
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max_elements = self._get_max_array_elements()
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return text(
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f"""
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CASE
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WHEN `{column.name}` IS NULL THEN NULL
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ELSE slice(`{column.name}`, 1, {max_elements})
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END AS `{column._label}`
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"""
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)
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