bramtayl

I think the solution in that case is pretty easy: `collect(Generator(Reduce(f), Grouped(by, iter))` would just have to optimized to `groupreduce(f, by, iter)`. I have an implementation of Reduce in JuliennedArrays....

Oh and all the different joins too

I haven't done any performance testing on QuerySQL at all, but it's definitely worth a shot! If you don't see performance improvements (highly possible), open an issue and I can...

I'm wonder if it wouldn't be possible to turn a vector of namedtuples to a named tuple of vectors.

I think I've got a solution [here](https://bramtayl.github.io/LazyQuery.jl/latest/index.html#LazyQuery.group-Tuple{Union{Query.Enumerable,%20Query.Queryable},Any})

Figuring out some story about ungroup would be useful too.

I guess what you really might want is generators (row.name for row in i).

I tried out the generators in LazyQuery seems to be working fine on master. I was hoping you could help me out with the ungroup. Say for example I use...

Right, so then the solution would be to take non-grouping columns, zip them back up into a vector of named tuples, unnest, then unzip them out again?

Ok, well, I've decided add an additional dataframes backed for lazyquery to fully support grouped operations. It seems like to me that the namedtuples row approach isn't really compatible with...