Re: Using Postgres to store high volume streams of sensor readings - Mailing list pgsql-general

From Ciprian Dorin Craciun
Subject Re: Using Postgres to store high volume streams of sensor readings
Date
Msg-id 8e04b5820811212250o3bbb6c73q6d23498a1c43dd32@mail.gmail.com
Whole thread Raw
In response to Re: Using Postgres to store high volume streams of sensor readings  ("Diego Schulz" <dschulz@gmail.com>)
Responses Re: Using Postgres to store high volume streams of sensor readings  (Shane Ambler <pgsql@Sheeky.Biz>)
List pgsql-general
On Fri, Nov 21, 2008 at 10:26 PM, Diego Schulz <dschulz@gmail.com> wrote:
>
>
> On Fri, Nov 21, 2008 at 9:50 AM, Ciprian Dorin Craciun
> <ciprian.craciun@gmail.com> wrote:
>>
>>    Currently I'm benchmarking the following storage solutions for this:
>>    * Hypertable (http://www.hypertable.org/) -- which has good insert
>> rate (about 250k inserts / s), but slow read rate (about 150k reads /
>> s); (the aggregates are manually computed, as Hypertable does not
>> support other queries except scanning (in fact min, and max are easy
>> beeing the first / last key in the ordered set, but avg must be done
>> by sequential scan);)
>>    * BerkeleyDB -- quite Ok insert rate (about 50k inserts / s), but
>> fabulos read rate (about 2M reads / s); (the same issue with
>> aggregates;)
>>    * Postgres -- which behaves quite poorly (see below)...
>>    * MySQL -- next to be tested;
>
> I think it'll be also interesting to see how SQLite 3 performs in this
> scenario. Any plans?
>
> regards
>
> diego


    I would try it if I would know that it could handle the load... Do
you have some info about this? Any pointers about the configuration
issues?

    Ciprian.

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