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The only row-based function that's available is filter(GroupedRowFilter) which can allow you to write .filter { it.index() <= 10 } but seems a bit odd.
The text was updated successfully, but these errors were encountered:
interestingly .filter {} runs on a GroupedRowFilter<T, G>, where T is the original DF type. This allows type-safe access to all key columns, but also to all non-key columns which don't exist in the GroupBy object, causing Exceptions... This might need a slight redesign.
interestingly .filter {} runs on a GroupedRowFilter<T, G>, where T is the original DF type. This allows type-safe access to all key columns, but also to all non-key columns which don't exist in the GroupBy object, causing Exceptions... This might need a slight redesign.
Currently, we can't do:
groupedDf .take(10) .concat()
to only concatenate the values of the first 10 groups. Instead, we'll have to convert to a normal DF first and convert back:
groupedDf .toDataFrame().take(10).asGroupBy() .concat()
The only row-based function that's available is
filter(GroupedRowFilter)
which can allow you to write.filter { it.index() <= 10 }
but seems a bit odd.The text was updated successfully, but these errors were encountered: