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#1 |
Wizard
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Library Size
Hi.
Does anyone have any experiences with having very large libraries. I'm talking 500.000+ stories. Thanks |
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#2 |
Ex-Helpdesk Junkie
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Yes, people have had experience with very large libraries.
... ... ... Was there a question somewhere in that? ![]() Spoiler:
Last edited by eschwartz; 10-07-2015 at 08:50 AM. |
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#3 |
Wizard
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Yes. Can it be done? (without having the computer crash)
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#4 |
Ex-Helpdesk Junkie
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Number one, the worst that would happen is that calibre crashed. Crashing the OS is somewhat more unlikely.
(You can do it though -- if your %TEMP% is on a ramdisk, say, which is the case on linux, and you try to convert hundreds of books, they all unpack at once and then you run out of RAM unusually fast, making it impossible to do anything without rebooting first. Not sure if that counts.) Number two, calibre is not going to crash from having a lot of books. Once you hit the hundreds of thousands, you may find however that certain things slow down. And it really matters how big the metadata.db file is, more than the accumulated sizes of the books. |
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#5 |
Wizard
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What would make the metadata.db large?
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#6 |
Ex-Helpdesk Junkie
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A ton of book records. But it happens much more slowly.
![]() My metadata.db is 10MB per 1000 books. But I have a lot of custom columns. |
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#7 |
Wizard
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I have a library with about 9.000 books the metadata.db is 14.297 mb.
I would use the same set-up in that library in one where I would have more than 500.000 books. Is that doable? |
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#8 |
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Well, if the size of the metadata.db scales with the number of books, you would probably have a metadata.db that was 700MB. Note: I am not sure it does, precisely.
Even loading the whole database in RAM all at once, on an ancient computer with only 2GB of RAM, I could handle that -- although I might not be able to run anything at the same time. The only likely bottleneck is RAM. I assume most newer computers have plenty of RAM anyway. ![]() Best way to tell if it'll work is to try it. ![]() |
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#9 |
Wizard
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Computer specs:
12 gb RAM (updated to be able to run a better Calibre) 2.30 GHz windows 64 I'm down to considering library of 250.000 instead |
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#10 |
Well trained by Cats
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![]() Custom (plain) columns add more size Custom (Calculated) gobble up CPU power and RAM ![]() ![]() Less tags, regularized Author names (same Author, but 16 variant spellings ![]() The actual books (formats) mostly use Disk space, But ![]() ![]() ![]() ![]() Currently, lots of CPU cores gains you nothing (basic Library browsing). Fast Disk, Large RAM (you got this covered) and CPU speed are the gains ![]() |
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#11 |
Wizard
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I only have one format in the libraries (I download fanfiction) and I can remove my "Build from other columns" from the library I download to. They can always be redone (as far as I know) as long as the columns where the info stems from is there. (Please correct me if I'm wrong).
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#12 | |
Well trained by Cats
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Quote:
If things get tight, rebuilding the column might push you over the edge. I am ![]() If it is built from data, don't store the answer you just use in a report. but... Developers please correct me: A 'built from' column is NOT stored in the DB, but recalculated every Time for the GUI. If this is true, storing the result might be the lesser of the evils. ( ![]() |
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#13 |
Wizard
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#14 |
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#15 |
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