DenesL's method should work as long as you have as_dict=False (the default) in your call to executesql().
Anthony On Friday, November 18, 2011 3:33:05 PM UTC-5, David Watson wrote: > > This produces a table with a single column and the rows consisting of > what should have been the header columns followed by the body columns > manifested as rows also. > > On Nov 17, 10:25 am, DenesL <dene...@yahoo.ca> wrote: > > Why not just: > > > > table = TABLE(THEAD(columns), TBODY(raw_rows)) > > > > On Nov 16, 3:43 pm, David Watson <davidth...@gmail.com> wrote: > > > > > > > > > > > > > > > > > Does anybody have example code showing how to package the return from > > > executesql as a gluon.sql.Rows object? > > > > > I have tried: > > > > > raw_rows = legacy_db.executesql(sqlstr, as_dict=True) > > > from gluon import sql > > > columns = ['col1', 'col2', 'col3'] > > > rowsobj = sql.Rows(legacy_db, raw_rows, columns) > > > table = SQLTABLE(rowsobj) > > > > > but this blows up in sql.Rows. I'm just looking for a quick and dirty > > > (throw-away) way to do some reports with existing complex SQL queries. > > > > > Thanks, > > > Dave