and { only { filter_greater { filter_eq { all_rows ; date ; 3 june 1935 } ; crowd ; 25000 } } ; eq { hop { filter_greater { filter_eq { all_rows ; date ; 3 june 1935 } ; crowd ; 25000 } ; venue } ; windy hill } } = true
select the rows whose date record fuzzily matches to 3 june 1935 . among these rows , select the rows whose crowd record is greater than 25000 . there is only one such row in the table . the venue record of this unqiue row is windy hill .