On Wed, Apr 26, 2017 at 7:56 PM, Peter Geoghegan <[email protected]> wrote:
> On Wed, Apr 26, 2017 at 8:39 AM, Alexander Korotkov > <[email protected]> wrote: > > That appears to be wrong. I intended to make cost_sort prefer plain sort > > over incremental sort for this dataset size. But, that appears to be not > > always right solution. Quick sort is so fast only on presorted data. > > As you may know, I've often said that the precheck for sorted input > added to our quicksort implementation by a3f0b3d is misguided. It > sometimes throws away a ton of work if the presorted input isn't > *perfectly* presorted. This happens when the first out of order tuple > is towards the end of the presorted input. > > I think that it isn't fair to credit our qsort with doing so well on a > 100% presorted case, because it doesn't do the necessary bookkeeping > to not throw that work away completely in certain important cases. > OK, I get it. Our qsort is so fast not only on 100% presorted case. However, that doesn't change many things in context of incremental sort. ------ Alexander Korotkov Postgres Professional: http://www.postgrespro.com The Russian Postgres Company
