fix: support JSON and STRUCT for bbq.sql_scalar #1754
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| literals = [ | ||
| bigframes.dtypes.bigframes_dtype_to_literal(column.dtype) for column in columns | ||
| literals_sql = [ | ||
| sqlglot_ir._literal(column.values[0], column.dtype).sql(dialect="bigquery") |
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column.values can be quite expensive. That's going to download everything as a numpy array. Also, it might return NaN if the first row contains null.
Can we keep using bigframes_dtype_to_literal to get representative values for the type?
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Good catch! Yes, I've implemented it so that None value generates literal SQL. This simplifies the logic, and it's confirmed by the test_sql_scalar_w_all_scalar_output test. Would you mind double-checking this?
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Fixes internal issue 416015997🦕