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In Iceberg the tables are projected using field-IDs. Even if the column is renamed (and Iceberg is lazy, so existing data will not be rewritten), it should correct map the name.
> ).fetchall()
E duckdb.duckdb.IOException: IO Error: Failed to read file "//private/var/folders/22/yb9h2zd55ql37h4_50xkmg7r0000gn/T/pytest-of-fokkodriesprong/pytest-8/test_sql0/default.db/test_id_projection/data/00000-0-d24c398f-f93f-420c-82d4-2a66b72c580e.parquet": schema mismatch in glob: column "number_of_legs" was read from the original file "//private/var/folders/22/yb9h2zd55ql37h4_50xkmg7r0000gn/T/pytest-of-fokkodriesprong/pytest-8/test_sql0/default.db/test_id_projection/data/00000-0-f2b7f973-f7df-4cd6-aa7a-78176b3c3d7f.parquet", but could not be found in file "//private/var/folders/22/yb9h2zd55ql37h4_50xkmg7r0000gn/T/pytest-of-fokkodriesprong/pytest-8/test_sql0/default.db/test_id_projection/data/00000-0-d24c398f-f93f-420c-82d4-2a66b72c580e.parquet".
E Candidate names: animal, n_legs
E If you are trying to read files with different schemas, try setting union_by_name=True
The text was updated successfully, but these errors were encountered:
In Iceberg the tables are projected using field-IDs. Even if the column is renamed (and Iceberg is lazy, so existing data will not be rewritten), it should correct map the name.
Example:
This fails with:
The text was updated successfully, but these errors were encountered: