Re: bulk insert performance problem

From: "bitaoxiao" <bitaoxiao(at)gmail(dot)com>
To: "Chris" <dmagick(at)gmail(dot)com>, "Christian Bourque" <christian(dot)bourque(at)gmail(dot)com>
Cc: "pgsql-performance(at)postgresql(dot)org" <pgsql-performance(at)postgresql(dot)org>
Subject: Re: bulk insert performance problem
Date: 2008-04-08 03:50:51
Message-ID: 200804081150460009010@gmail.com
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I use 10000 rows,have big blob

2008-04-08

bitaoxiao

发件人: Chris
发送时间: 2008-04-08 11:35:57
收件人: Christian Bourque
抄送: pgsql-performance(at)postgresql(dot)org
主题: Re: [PERFORM] bulk insert performance problem

Craig Ringer wrote:
> Christian Bourque wrote:
>> Hi,
>>
>> I have a performance problem with a script that does massive bulk
>> insert in 6 tables. When the script starts the performance is really
>> good but will degrade minute after minute and take almost a day to
>> finish!
>>
> Would I be correct in guessing that there are foreign key relationships
> between those tables, and that there are significant numbers of indexes
> in use?
>
> The foreign key checking costs will go up as the tables grow, and AFAIK
> the indexes get a bit more expensive to maintain too.
>
> If possible you should probably drop your foreign key relationships and
> drop your indexes, insert your data, then re-create the indexes and
> foreign keys. The foreign keys will be rechecked when you recreate them,
> and it's *vastly* faster to do it that way. Similarly, building an index
> from scratch is quite a bit faster than progressively adding to it. Of
> course, dropping the indices is only useful if you aren't querying the
> tables as you build them.
If you are, add "analyze" commands through the import, eg every 10,000
rows. Then your checks should be a bit faster.
The other suggestion would be to do block commits:
begin;
do stuff for 5000 rows;
commit;
repeat until finished.
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