Re: Using Postgres to store high volume streams of sensor readings
От | Ciprian Dorin Craciun |
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Тема | Re: Using Postgres to store high volume streams of sensor readings |
Дата | |
Msg-id | 8e04b5820811222239s28aedb2blddcf0a687c2147ae@mail.gmail.com обсуждение исходный текст |
Ответ на | Re: Using Postgres to store high volume streams of sensor readings ("Scott Marlowe" <scott.marlowe@gmail.com>) |
Ответы |
Re: Using Postgres to store high volume streams of
sensor readings
Re: Using Postgres to store high volume streams of sensor readings |
Список | pgsql-general |
On Sun, Nov 23, 2008 at 3:09 AM, Scott Marlowe <scott.marlowe@gmail.com> wrote: > On Sat, Nov 22, 2008 at 5:54 PM, Scara Maccai <m_lists@yahoo.it> wrote: >> Since you always need the timestamp in your selects, have you tried indexing only the timestamp field? >> Your selects would be slower, but since client and sensor don't have that many distinct values compared to the numberof rows you are inserting maybe the difference in selects would not be that huge. > > Even better might be partitioning on the timestamp. IF all access is > in a certain timestamp range it's usually a big win, especially > because he can move to a new table every hour / day / week or whatever > and merge the old one into a big "old data" table. > > -- > Sent via pgsql-general mailing list (pgsql-general@postgresql.org) > To make changes to your subscription: > http://www.postgresql.org/mailpref/pgsql-general Yes, If i would speed the inserts tremendously... I've tested it and the insert speed is somewhere at 200k->100k. But unfortunately the query speed is not good at all because most queries are for a specific client (and sensor) in a given time range... Ciprian Craciun.
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