Re: Group-count estimation statistics
От | Mischa |
---|---|
Тема | Re: Group-count estimation statistics |
Дата | |
Msg-id | 1106993422.41fb610e555cf@webmail.telus.net обсуждение исходный текст |
Ответ на | Group-count estimation statistics (Tom Lane <tgl@sss.pgh.pa.us>) |
Список | pgsql-hackers |
> From: Sailesh Krishnamurthy <sailesh@cs.berkeley.edu> > >>>>> "Tom" == Tom Lane <tgl@sss.pgh.pa.us> writes: > > Tom> The only real solution, of course, is to acquire cross-column > Tom> statistics, but I don't see that happening in the near > Tom> future. > > Another approach is a hybrid hashing scheme where we use a hash table > until we run out of memory at which time we start spilling to disk. In > other words, no longer use SortAgg at all .. > > Under what circumstances will a SortAgg consumer more IOs than a > hybrid hash strategy ? Goetz Graefe did a heck of a lot of analysis of this, prior to his being snapped up by Microsoft. He also worked out a lot of the nitty-gritty for hybrid hash algorithms, extending the Grace hash for spill-to-disk, and adding a kind of recursion for really huge sets. The figures say that hybrid hash beats sort-aggregate, across the board.
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