
One million hours in gimp

One million hours in gimp

When it comes to searching the database, the index will have already been created. When you create an index, it might take a while as the database engine reads all the data and creates a structure to shadow it. Each engine is probably different and I don’t know if any work exactly like that, but it’s an intuitive way to understand the basics of how B-trees work. You don’t really need to think much about how it works, just that if you want to use a column as a filter, you want to index it.
However, when you’re thinking about the structure of a database it’s a good idea to think what you’ll want to do with it before hand and how you’ll structure queries. Sometimes searching columns without an index is unavoidable and then you’ve got to come up with other tricks to speed up your search. Like your doctor might find you (i’m presuming gaz is sort for gary and/or gareth here) with a query like
SELECT * FROM patients WHERE birthdate = "01-01-1980" AND firstname LIKE "gar%"
The db engine will first filter by birthdate which will massively reduce the amount of times it has to do the more intensive LIKE operation.

I’d go for syncthing over nextcloud for your specific usecase. Nextcloud isn’t good for unreliable connections and they’re sticking with the annoying decision of not supporting server to server synchronization.

If there’s something you want to search by in a database, you should index it.
Indexing will create an ordered data structure that will allow much faster queries. If you were looking for the username gazter in an unindexed column, it would have to check literally every username entry. In a table of 1000000 entries it would check 1000000 times.
In an indexed column it might do something like ask to be pointed to every name beginning with “g”, then of those ask to be pointed to every name with the second letter “a” and so on. It would find out where in the database gazter is by checking only six times.
Substring matching is much more computationally difficult as it has to pull out each potentially matching value and run it through a function that checks if gazter exists somewhere in that value. Basically if you find yourself doing it you need to come up with a better plan.
Cartesian explosion would be when your query ends up doing a shit load of redundant work. Like if the query to load this thread were to look up all the posters here, get all their posts, get the threads from those posts and filter on the thread id.
I’m just going to assume every billionaire pulling this shit for trump has an unfathomably disgusting record in the Epstein files. There’s no way that every single one of them is deciding to be this overtly fucking pathetic.

Lol why are people such dicks? My vets sent pics when my dog was recovering from an operation. It’s a pretty normal thing.
Anyway, if it was me I’d just set up a stream of the webcam on peertube via OBS.
I don’t know how far owncloud and nextcloud have diverged, but in the nextcloud client you can add filters to ignore files by clicking the three dots on the folder in settings.
You can also free up local space by using virtual folders, but it only works properly on windows.
All I want is a 3gb model for the raspberry pi. 7b is too big and 1.5b is too stupid.
I don’t know. When I first heard about the horizon scandal I understood what had happened immediately and have since been of the opinion that making financial software that isn’t Byzantine fault tolerant should be a criminal offence.
I know a joke about UDP.
I know a joke about TCP too.
Did you get it?
The point would be that it’s a failover. It takes about two seconds for the video here to start streaming from the webseed and that’s probably just the wait for enough video to load in order to render. The standard peers don’t really become load bearing until the server is struggling.
This is a good answer.
I’m not sure if I’d agree that instance to client is infeasible though. Peertube does it OK.
I wish IPFS was a solution but it’s just broken. I’ve got goto social running on a raspberry pi on a residential connection. If I try to run IPFS, my router crashes as it seems to try and connect to every peer on the network.
I’m thinking in terms of what happens when someone on a $5 VPS hosting plan uploads a large image or small video and a thousand other instances want to grab it. The latency of a torrent isn’t as much of a problem as the server falling over. This is for propogation between servers rather than when a user requests a file.
You could just have a standard peertube instance hidden away on the backend and use the peertube embed code to insert videos into your microblog and pretend the Peertube instance doesn’t exist.
I’ve played with peertube a lot, and as long as your cross site permissions are set up correctly, you can access the player API from your host site.
A torrent file and a webseed is enough. The client uses the torrent file to validate the download from a standard http source.
The webseed can be the same source as the file your browser would normally download.
So yeah the site needs to seed the file, but not necessarily using a torrent client.
I don’t know what that post is about. It’s not possible to change the contents of a torrent. The torrent file itself is a list of checksums which validate byte ranges within the files being downloaded. If a client downloads a poisoned piece, it discards it and deprioritises the seed it got it from. Perhaps they’re transcoding a file, whilst still seeding the original.
Torrents can work as a CDN for static files, because the downloader has to validate that the file is the same one as on the server using the checksums in the torrent file.
I’ve just been reading up on that. Apparently a magnet link won’t work without at least one proper seed, as it still needs to download the torrent file from somewhere. https://github.com/webtorrent/webtorrent/issues/1393#issuecomment-389805621
Discourse already has an activitypub plugin
https://meta.discourse.org/t/activitypub-plugin/266794