Re: queries with lots of UNIONed relations
От | Mladen Gogala |
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Тема | Re: queries with lots of UNIONed relations |
Дата | |
Msg-id | 4D2FC0B7.30705@vmsinfo.com обсуждение исходный текст |
Ответ на | Re: queries with lots of UNIONed relations (Robert Haas <robertmhaas@gmail.com>) |
Список | pgsql-performance |
On 1/13/2011 5:41 PM, Robert Haas wrote: > You might be right, but I'm not sure. Suppose that there are 100 > inheritance children, and each has 10,000 distinct values, but none of > them are common between the tables. In that situation, de-duplicating > each individual table requires a hash table that can hold 10,000 > entries. But deduplicating everything at once requires a hash table > that can hold 1,000,000 entries. > > Or am I all wet? > Have you considered using Google's map-reduce framework for things like that? Union and group functions look like ideal candidates for such a thing. I am not sure whether map-reduce can be married to a relational database, but I must say that I was impressed with the speed of MongoDB. I am not suggesting that PostgreSQL should sacrifice its ACID compliance for speed, but Mongo sure does look like a speeding bullet. On the other hand, the algorithms that have been paralleled for a long time are precisely sort/merge and hash algorithms used for union and group by functions. This is what I have in mind: http://labs.google.com/papers/mapreduce.html -- Mladen Gogala Sr. Oracle DBA 1500 Broadway New York, NY 10036 (212) 329-5251 www.vmsinfo.com
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