Support for enforcing embedded schema#505
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jprakash-db merged 2 commits intoFeb 19, 2025
release/v3.7.3databricks/databricks-sql-python:release/v3.7.3from
jprakash-db/enforce-schemadatabricks/databricks-sql-python:jprakash-db/enforce-schemaCopy head branch name to clipboard
Merged
Support for enforcing embedded schema#505jprakash-db merged 2 commits intorelease/v3.7.3databricks/databricks-sql-python:release/v3.7.3from jprakash-db/enforce-schemadatabricks/databricks-sql-python:jprakash-db/enforce-schemaCopy head branch name to clipboard
jprakash-db merged 2 commits into
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gopalldb
approved these changes
Feb 17, 2025
jackyhu-db
reviewed
Feb 18, 2025
| self, | ||
| operation: str, | ||
| parameters: Optional[TParameterCollection] = None, | ||
| enforceEmbeddedSchema=False, |
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can you rename it to enforce_embedded_schema_correctness to be consistent with the meaning of the thrift API. "enforce schema" is different with "enforce schema with correctness". And please use snake case which is python style.
jackyhu-db
approved these changes
Feb 18, 2025
This was referenced Feb 28, 2025
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Description
As a part of query optimization Databricks returns cached results when the underlying query is the same. This creates issue when the same query is used but with a different alias, in this case the result is the same but the metadata is different. But Databricks returns the same metadata as a part of query optimisation
Added
Added option to enforce schema to make sure the metadata is in updated state