From: | "Ciprian Dorin Craciun" <ciprian(dot)craciun(at)gmail(dot)com> |
---|---|
To: | "Scott Marlowe" <scott(dot)marlowe(at)gmail(dot)com> |
Cc: | "Shane Ambler" <pgsql(at)sheeky(dot)biz>, "Diego Schulz" <dschulz(at)gmail(dot)com>, pgsql-general(at)postgresql(dot)org |
Subject: | Re: Using Postgres to store high volume streams of sensor readings |
Date: | 2008-11-22 21:54:32 |
Message-ID: | 8e04b5820811221354j4a19b6ddk9b9ba60e3a6bb2a4@mail.gmail.com |
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Lists: | pgsql-general |
On Sat, Nov 22, 2008 at 11:51 PM, Scott Marlowe <scott(dot)marlowe(at)gmail(dot)com> wrote:
> On Sat, Nov 22, 2008 at 2:37 PM, Ciprian Dorin Craciun
> <ciprian(dot)craciun(at)gmail(dot)com> wrote:
>>
>> Hello all!
> SNIP
>> So I would conclude that relational stores will not make it for
>> this use case...
>
> I was wondering you guys are having to do all individual inserts or if
> you can batch some number together into a transaction. Being able to
> put > 1 into a single transaction is a huge win for pgsql.
I'm aware of the performance issues between 1 insert vs x batched
inserts in one operation / transaction. That is why in the case of
Postgres I am using COPY <table> FROM STDIN, and using 5k batches...
(I've tried even 10k, 15k, 25k, 50k, 500k, 1m inserts / batch and no
improvement...)
Ciprian Craciun.
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