486 karma · joined May 1, 2016
The original version of this patch https://github.com/PaperMC/Paper/blob/d934dcc1e3e8b1ac34acef... fixed that desync, but it allowed you to force the server to generate an unlimited amount of chunks, which is an expensive operation.
You could only find players using this patch after it was modified to only reply if the chunk was already loaded. But at no point in time was this patch able to reveal if a chunk had been previously generated or not, that is a separate unrelated issue in which Spigot will reliably send a partial chunk on initial generation, but never for a previously generated chunk.
Take a look at https://2b2t.miraheze.org/wiki/Nocom
The main expense was priority queue, which is a $20/account/month payment to 2b2t to be able to join the server faster. Probably nearing a thousand dollars on that. We lightened this by creating a proxy system where other builders could join through our headless, and it would add nocom exploit packets from their account to 2b2t, and peel off the responses on the way back. They got a more reliable experience with less disconnects, and we got some extra capacity for free (completely unbeknownst to them of course haha). By the end, all the overworld accounts were being paid for and used by other people, I only had to cover the 2 accounts in the nether.
About $300 on a new 2TB nvme drive for postgres. An unknown amount on electricity. Other than that, all the big processing ran on an existing homelab server (thanks to fr1kin). About $150 on digitalocean for a droplet to run the headless minecraft with minimal ping to 2b2t ($10/month). Backups were just WAL rsyncs to postgres replicas ran (again on homelabs) by myself and a few others.
Generally 2 or 3. 1 point of association was given whenever a track went cold, split up among however many players logged off within -6 seconds to +1 seconds of that timestamp (because of chunks unloading on a 5 second schedule). 1 point could be a false positive, but 2 or 3 would be reliably trustworthy.
One way to think about it, is that in "normal" Minecraft servers, it's you versus everyone, but in an anarchy server that allows hacks, it's you versus the server software. There have been many hacks to locate other players, like following the trails that they leave in the world, that you can only see if you inspect some specific bits in chunk packets from the server. Perhaps they posted a screenshot that shows bedrock, which you can brute force their location from in a few hours/days on a GPU with OpenCL that simulates Minecraft terrain generation. Nocom was similarly "fair game", in that it only used the Minecraft protocol, and stayed within the "bounds" of talking to 2b2t with Minecraft packets and extracting information from that.
All that being said, it's still plainly the case that people put a ton of time into their bases, and no matter how much moral sleight of hand and cope you apply, it's still kicking over someone's sandcastle. When it comes to actually traveling to these locations and raiding them, our aim in that campaign was pretty much solely to amass a large stash of items/blocks for ourselves for the future. I would pass on bases by-default, only handing them along to be raided if there was bad faith construction (e.g. swastikas), or if most of the builders were known to be naughty. The main campaign was against standalone item stashes. These do take some time to create (by having exploiting past item duplication glitches), but they don't really have any creative expression in the same way that a base does. I have no logical argument for why I say that the same amount of hours invested in artistically making a build is more morally valuable than duplicating building blocks, it's just what feels about right. During the time when I was involved, we passed up hundreds of bases just because there was something actively being built there, and essentially only hit places that were just rows of chests placed on the ground in the world.
Another reason might be that this only does anything if there are many players on the server, and you hit a region loaded by someone else. Might be difficult to think of that. You'd never come across it if testing in singleplayer.
But in essence I agree, it's surprising that no one else found and reported this years ago!
For monitoring on a meta-level, we used Prometheus and Grafana. Here's what that looked like near the very end: https://www.dropbox.com/s/ktlvvtmppq64u8o/trimmed%20grafana%... Since the ratelimit was heavily in place by then, the numbers are pretty low. For example, the headliner "blocks per second" was well over three thousand a few weeks before then.
One of the most common queries for actual usage though, was "what bases in the last 24 hours (or whatever) have the most chests currently". We'd then travel to these locations to borrow items. Here's that query https://pastebin.com/fjhHGSYz Roughly, it grabs chunks with chests in that timeframe, then uses a recursive Postgres CTE to traverse the https://en.wikipedia.org/wiki/Disjoint-set_data_structure that we used to implement DBSCAN, from the leaf to the root. Then it groups by the root, which in practice means grouping chunks together by which ones semantically have been determined to be part of the same base, then makes a report by quantity per base.
There was also a web UI that showed all active tracks. You could click any player and see their travel history, the route they had taken to get to that location. As well as clicking any cluster and seeing the usernames associated with it. We used this a lot to grab what members were present at a given item stash or base, to make sure we weren't stepping on anyone's toes.
In terms of what it took to make this happen, the stars of the show were probably the main Postgres, which was hand-tuned on top of a hand-tuned ZFS, on top of a NVME drive that was IOMMU passthrough'd to this VM for maximum performance. As well as https://github.com/OpenHFT/Chronicle-Map, which really helped out. We needed a mapping from block coordinate to a bit of data about that location, such as the last timestamp we checked it, what Minecraft block was there last, whether the block is interesting, uninteresting, different from seed, etc. High frequency trading software was perfect for this use case, because it greatly reduced GC pressure on the JVM, since the data was stored off-heap. It ended up at around (roughly) fifty million entries, served hundreds of thousands of requests for block data per second, and requested historical data (from the Postgres) at about thirty thousands SELECTs per second (from a table with over ten billion rows). The reason why this needed to be so fast, is that the use case is downloading bases. Sometimes someone would log in to 2b2t at their base, after having not played for weeks at a time (so the data is in Postgres, not the map in RAM), we wanted to be able to pick up right where we left off on downloading what they had built. This means it needs to get back up to speed with their entire base, as fast as possible, in the seconds before they move away to other chunks, or log off the server. We are downloading bases one click at a time, and bases are huge. The area that is loaded in by a player is 144 by 144 by 256. That’s 5 million blocks. And there are about 250 players online on 2b2t at any given moment in time. That’s well over a billion blocks that we could click on, and learn which Minecraft block they are. But, which locations should we use up our clicks per second budget on? It focused on areas that are being changed rapidly, and areas that are different from the base vanilla terrain. Those are certainly bases, large Minecraft builds. We do an expanding paintbucket pattern that expands in 3 dimensions to whatever has been built there. However, we have to do this quickly, and we have to pick up where we left off. Someone might be flying around their base with an elytra, at very fast speed. We would love to scoop up the terrain that they’re flying over. If the base is particularly interesting, someone flying over a certain area could have had about twenty Minecraft accounts spread all over 2b2t’s map suddenly refocus all of their left clicks on that one area, to grab all the interesting neighbors that it wasn’t able to last time. We peaked at about three thousand block clicks per second, averaged over weeks. So this was a massive data loading and management problem.
That article has a lot of inaccuracies, typos, and general mistakes due to it being a summary of a YouTube video.
I recommend instead looking at:
The video it is summarizing https://www.youtube.com/watch?v=elqAh3GWRpA
My explanation https://github.com/nerdsinspace/nocom-explanation/blob/main/...
The 2b2t wiki page about it https://2b2t.miraheze.org/wiki/Nocom
Funnily enough, this is my favorite feature of sqlite that I wish other RDBMSs had :))
There is no easy equivalent to `SELECT order_id, status AS latest_status, MAX(updated_at) AS updated_at FROM orders GROUP BY order_id`. Well, it's possible, but for example in Postgres you need some silliness with nested queries, `PARTITION BY`, and `ROW_NUMBER()`.
I might take a look at https://en.wikipedia.org/wiki/Special:RecentChanges maybe reload it a few times. What percent of the changes are to policy space? (the article name begins with "Wikipedia:") And what percent are to regular articles / discussion of articles (article name is normal, or begins with "Talk:").
I think you'd be surprised because the vast vast vast majority of edits are to the articles themselves.
> Perhaps the only area where editors are as zealous they are about creating obscure processes, is in policing what content should they should fit into the their volumes.
This is important. I'm not sure if you're referring to notability, or sourcing, but both are critical to making an encyclopedia. https://en.wikipedia.org/wiki/Wikipedia:What_Wikipedia_is_no... https://en.wikipedia.org/wiki/Wikipedia:Reliable_sources
Specifically, see https://arxiv.org/abs/1609.07959
"We adopt what is commonly known as Bitcoin’s unspent transaction output (UTXO) model. In this model, clients are authenticated and issue cryptographically signed transactions that fully consume an existing UTXO and issue new UTXOs."