On Thu, Aug 9, 2012 at 12:44 AM, Alexander Korotkov
<aekorotkov@gmail.com> wrote:
My conclusion is so, that current errors are probably ok for selectivity estimation. But taking into attention that generated datasets ideally fits assumptions of estimation, there could be room for improvement. Especially, it's unclear why estimate for "<@" and "@>" have much greater error than estimate for "&&". Possibly, it's caused by some bugs.
ITSM, I found reason of inaccuracy. Implementation of linear interpolation was wrong. Fixed version is attached. Now, need to rerun tests, possible refactoring and comments rework.
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With best regards,
Alexander Korotkov.