How can I re-write column names when reading from an Excel file?

[tboddyspargo]

We would like to be able to apply some "column name normalization" logic to the headers in an Excel sheet that are quite similar to the logic applied by read_csv_auto (e.g. spaces become underscores). However, I'm not sure that st_read or GDAL provide any options for achieving this.

With CSV files, I can do: SELECT * FROM read_csv_auto('s3://bucket/path.csv', names=['custom_name1', 'custom_name2']) to set my own column names to use. Without that, the columns names would also be normalized according to read_csv_auto's own logic (which I like).

However, with SELECT * FROM st_read('s3://bucket/path.xlsx', layer='sheet 1', open_options=['HEADERS=force']), no normalization logic is applied and I don't see an obvious way for me to provide my own custom column names.

Any suggestions for how to enforce some column name normalization logic would be greatly appreciated!

[Maxxen]

No, this is not possible in the underlying GDAL driver. But you could provide your own column names by simply aliasing the table expression:

SELECT * FROM st_read('./google_sheets.xlsx', max_batch_size = 100) 
AS  my_table(custom_name1,custom_name2,custom_name3);

┌──────────────┬──────────────┬──────────────┐
│ custom_name1 │ custom_name2 │ custom_name3 │
│    double    │   varchar    │   varchar    │
├──────────────┼──────────────┼──────────────┤
│        123.0 │ 500,60       │ ABC          │
│        456.0 │ 300,40       │ some text    │
└──────────────┴──────────────┴──────────────┘