I'm not that experienced with database design and I cannot figure out the best way to design this. I have annual hourly data (8760 values) for a million sites. The total size of the data is not a problem, but how would one store the data such that I can manipulate annual sets of data?
I often read that designing tables with 100s of columns is a mistake. Clearly, I cannot store the data as I would in a program, which is in an array with 8760 columns. So, would monthly tables work (744 columns) or tables with one week of data (168 columns)? Or perhaps 365 tables with a single day of data per record?
Any advice is appreciated.
6 4562
did you mean columns or rows? I see no reason not to store 1 table with millions of rows.
To clarify, I have a million sets of data, and each set contains 8760 values. This is hourly data for an entire year for 1 million sites.
The question is, how to efficiently store the data in a way that allows me to quickly "view" the data for particular set of sites? My application needs to load all the hourly data for a subset of rows. The simplest thing to do would be to store the data in a table with 8760 columns, one for every hour of the year. Apparently, this is not only bad practice, it's not even possible in most database architectures.
So, I could store the data in 365 tables, one for each day of the year and each with 24 columns (plus a column for the ID of course). There would still be 1 million rows in each table. To load the data for one site, however, I would have to query 365 tables. That seems painful. Is there a standard way of dealing with data of these dimensions?
I'm posting from my phone so ill help more later but ill just say there is no reason to have separate tables for each day just have a field in the row for the day and sort them out after.
Rabbit 12,516
Recognized Expert Moderator MVP
To elaborate on what NetDynamic said, you only need one table with 3 fields. Site, DateTimeField, and ValueField.
Ahhhh ... I hadn't thought of that solution. So, instead of a wide table with a million rows, I'd have a narrow table with 8.7 billion rows. I have to admit, the idea of "billions and billions" of rows (with a nod to Carl Sagan) sort of scares me, but that's probably my problem, not postgre's problem.
Since the current Site ID is a long character string, I imagine a Site ID table should be created with an auto-increment index. The index would be used in the large data table.
Hmmm, makes sense. Thanks for the clue.
If you have a ton of tiny data sets just use a delimiter and use only 1 column for each set, then in your script just explode it into an array or something and use as you wish.
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