Re: Measure Theoretic Data Types in Postgresql
От | Josh Berkus |
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Тема | Re: Measure Theoretic Data Types in Postgresql |
Дата | |
Msg-id | 50784E21.2030104@agliodbs.com обсуждение исходный текст |
Ответ на | Re: Measure Theoretic Data Types in Postgresql (Heikki Linnakangas <hlinnakangas@vmware.com>) |
Список | pgsql-hackers |
On 10/12/12 12:48 AM, Heikki Linnakangas wrote: > > So, I think the current range types already cover that use case pretty > well. I can't imagine how the proposed measure theoretic concepts would > make that simpler. Can you give some more complicated problem, perhaps, > that the proposed measure theoretic concepts would make simpler than the > current tools? Well, the nice thing about EXTENSIONs is that, if he builds it, people can just try it out and see if it's useful. I suspect that the use cases are rarified enough that this would always be an EXTENSION and not core. One thing I could use, for example, would be a time-keyed array, in the form: metrics_series ( '2012-10-17 45:22:10',10, '1 second',15.0,15.1,16.2,NULL,15.8, 14.9, 15.1,14.2, 13.9, NULL ) WHich would allow me to do: SELECT metric WHERE ts = '2012-10-17 45:22:14' Without storing a timestamp with each element. This is not a set of functionality I would expect to be generally useful and belong in Core. But for a certain set of analytics applications, it would be indispensible. I expect that theoretic data types are the same way. -- Josh Berkus PostgreSQL Experts Inc. http://pgexperts.com
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