On Mon, Jan 9, 2023, at 8:50 PM, mkmo...@gmail.com wrote:
> Hello,
> 
> It looks like in 2.0 we can no longer treat a row.Row as a dict. I have a few 
> cases where I want to do this, such as when I need to get a list of columns, 
> or when I don't know the column name in advance.
> 
>     rows = conn.execute(select(t.c.foo)).fetchall()
> 
>     rows[0].keys()  # Not Allowed
> 
>     rows[0][some_unknown_column]  # not allowed
> 
> If we need to treat it as a dict, are we supposed to be calling:
> 
>     rows[0]._asdict()
> 
> This works, but the only issue is that our IDEs flag this as accessing a 
> protected member of a class. Is there any alternative?
> 
> Thanks and best regards,

you have more options here than previously on how to treat rows, as tuples or 
mappings, either up front or on a per-row basis.  the new API has been  
available as of version 1.4.  Relevant links include:

1. announcement of change and rationale

https://docs.sqlalchemy.org/en/14/changelog/migration_14.html#rowproxy-is-no-longer-a-proxy-is-now-called-row-and-behaves-like-an-enhanced-named-tuple

2. migration guide

https://docs.sqlalchemy.org/en/14/changelog/migration_20.html#result-rows-act-like-named-tuples

3. new tutorial coverage

https://docs.sqlalchemy.org/en/14/tutorial/dbapi_transactions.html#fetching-rows

included is background on how to get mappings from a Row or how to get 
RowMapping objects from a result up front using result.mappings().






> 
> Matthew
> 
> 
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