Re: RAID arrays and performance
От | Matthew |
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Тема | Re: RAID arrays and performance |
Дата | |
Msg-id | Pine.LNX.4.58.0712041551410.3731@aragorn.flymine.org обсуждение исходный текст |
Ответ на | Re: RAID arrays and performance (Mark Mielke <mark@mark.mielke.cc>) |
Ответы |
Re: RAID arrays and performance
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Список | pgsql-performance |
On Tue, 4 Dec 2007, Mark Mielke wrote: > > The larger the set of requests, the closer the performance will scale to > > the number of discs > > This assumes that you can know which pages to fetch ahead of time - > which you do not except for sequential read of a single table. There are circumstances where it may be hard to locate all the pages ahead of time - that's probably when you're doing a nested loop join. However, if you're looking up in an index and get a thousand row hits in the index, then there you go. Page locations to load. > Please show one of your query plans and how you as a person would design > which pages to request reads for. How about the query that "cluster <skrald@amossen.dk>" was trying to get to run faster a few days ago? Tom Lane wrote about it: | Wouldn't help, because the accesses to "questions" are not the problem. | The query's spending nearly all its time in the scan of "posts", and | I'm wondering why --- doesn't seem like it should take 6400msec to fetch | 646 rows, unless perhaps the data is just horribly misordered relative | to the index. Which is exactly what's going on. The disc is having to seek 646 times fetching a single row each time, and that takes 6400ms. He obviously has a standard 5,400 or 7,200 rpm drive with a seek time around 10ms. Or on a similar vein, fill a table with completely random values, say ten million rows with a column containing integer values ranging from zero to ten thousand. Create an index on that column, analyse it. Then pick a number between zero and ten thousand, and "SELECT * FROM table WHERE that_column = the_number_you_picked" Matthew -- Experience is what allows you to recognise a mistake the second time you make it.
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