From: | Sean Davis <sdavis2(at)mail(dot)nih(dot)gov> |
---|---|
To: | Bendik Rognlien Johansen <bendik(dot)johansen(at)gmail(dot)com>, <pgsql-novice(at)postgresql(dot)org> |
Subject: | Re: Large select, best practice question |
Date: | 2006-03-01 16:32:22 |
Message-ID: | C02B36C6.71D5%sdavis2@mail.nih.gov |
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Lists: | pgsql-novice |
On 3/1/06 11:16 AM, "Bendik Rognlien Johansen" <bendik(dot)johansen(at)gmail(dot)com>
wrote:
> Hello,
> I have three tables (very simplified):
> - people (~6 million records)
> - addresses (~7 million records)
> - contacts (~10 million records)
>
> I need to select all records from the people table and join addresses
> and contacts on it. I use the result to build a Lucene index. One
> document for each person (including all contacts and addresses). I am
> using jdbc.
>
> When doing it this way, i end up with many more rows than people, and
> my application logic takes care of putting the correct address/
> contact with each person. To do this the records have to be sorted.
> (Takes a loong time) This causes a lot of very similar result rows.
> Example:
>
> John Smith has 2 phone numbers and 2 addresses
>
> John Smith | 555-67567 | Elm street 32
> John Smith | 555-83463 | Elm street 32
> John Smith | 555-83463 | P.O box 55
> John Smith | 555-67567 | P.O box 55
>
>
> This method is quite slow and error prone.
>
> Is there a more elegant solution to this problem?
What SQL are you using to do this? Should be a simple join on the tables?
Perhaps post your SQL here.
Sean
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