Re: Streaming large data into postgres [WORM like applications]
| От | Kevin Hunter |
|---|---|
| Тема | Re: Streaming large data into postgres [WORM like applications] |
| Дата | |
| Msg-id | 464689F8.4090608@earlham.edu обсуждение исходный текст |
| Ответ на | Re: Streaming large data into postgres [WORM like applications] ("Dhaval Shah" <dhaval.shah.m@gmail.com>) |
| Список | pgsql-general |
At 8:49p on 12 May 2007, Dhaval Shah wrote: > That leads to the question, can the data be compressed? Since the data > is very similar, any compression would result in some 6x-10x > compression. Is there a way to identify which partitions are in which > data files and compress them until they are actually read? There was a very interesting article in ;login: magazine in April of this year discussing how they dealt with an exorbitant amount of largely similar data. The article claimed that through aggregation and gzip compression, they were able to reduce what they needed to store by roughly 350x, or about .7 bytes per 'event'. The article is The Secret Lives of Computers Exposed: Flight Data Recorder for Windows by Chad Verbowski You might try to get your mitts on that article for some ideas. I'm not sure you could apply any of their ideas directly to the Postgres backend data files, but perhaps somewhere in your pipeline. Kevin
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