feat(ingest): add classification for sql sources #10013
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hsheth2
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metadata-ingestion/src/datahub/ingestion/source/sql/data_reader.py
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| else: | ||
| query = sa.select([sa.text("*")]).select_from(table).limit(sample_size) | ||
| query_results = self.engine.execute(query) | ||
| # Not ideal - creates a parallel structure. Can we use pandas here ? |
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yeah refactoring the query generation a bit would be nice
metadata-ingestion/src/datahub/ingestion/source/sql/data_reader.py
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metadata-ingestion/src/datahub/ingestion/source/sql/sql_common.py
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metadata-ingestion/src/datahub/ingestion/source/sql/data_reader.py
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metadata-ingestion/src/datahub/ingestion/source/sql/sql_common.py
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Co-authored-by: Harshal Sheth <hsheth2@gmail.com>
…r.py Co-authored-by: Harshal Sheth <hsheth2@gmail.com>
hsheth2
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Mar 12, 2024
metadata-ingestion/src/datahub/ingestion/source/sql/data_reader.py
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| # Not ideal - creates a parallel structure in column_values. Can we use pandas here ? | ||
| for row in query_results.fetchall(): | ||
| if isinstance(row, LegacyRow): |
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this LegacyRow thing seems fishy - is row always going to be a LegacyRow? won't it be a Row object in some cases?
we're on sqlalchemy 1.4, so LegacyRow should be deprecated https://docs.sqlalchemy.org/en/20/changelog/migration_14.html#rowproxy-is-no-longer-a-proxy-is-now-called-row-and-behaves-like-an-enhanced-named-tuple
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Agree. Given that LegacyRow import and functionality in sql_common.py is working fine, the current code flow should also work well for now. I've added fix for this in followup PR.
…sification_for_sql_sources' into master+ing-319-classification_for_sql_sources
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