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Currently we need to describe all the columns of a parquet file inside a query using the AS (...) construct:
AS (...)
SELECT count(*), name FROM read_parquet('s3://bucket/file.parquet') AS (name text)
This can be quite a hassle if there are lots of columns, especially when running exploratory queries. We should improve this UX.
The text was updated successfully, but these errors were encountered:
mooncake.delta_scan(text)
JelteF
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Description
Currently we need to describe all the columns of a parquet file inside a query using the
AS (...)
construct:This can be quite a hassle if there are lots of columns, especially when running exploratory queries. We should improve this UX.
The text was updated successfully, but these errors were encountered: