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Sat, 14 Oct 2023 06:16:02 -0700

Andy from private IP /all Technical explanation for the simplicity of this board I was designing this site in early September, and I realized that all it would take to match the original JDU is a very simple filesystem-based BBS without even using a SQL database. This drastically simplifies everything, but adds other challenges. One advantage is that the board is fully portable and I can have a complete backup system very easily that continuously syncs with the primary. This eliminates the problem of SQL replication, which is otherwise currently beyond the scope of my web application projects. The general approach is using plain text files to contain the posts and putting them in an actual file hierarchy with command line tools to extract the relevant data, which is tagged. I believe such large community sites as Craigslist use this same method to handle their global high-traffic systems, because otherwise SQL replication and performance are the two primary challenges. In terms of disadvantages, it's a lot harder to have an effective search box without a proper search index as would be found in any SQL database. However, I think I've come up with a blend of performance, convenience, and accuracy by using standard command line tools in conjunction with plain text files. The Linux tools "grep" and "sed" running in a simple PHP script are all I really need. Grep will search text files with extreme speed, and sed will seek to particular lines in the file and perform operations on them. Sed is how I extract subject lines and metadata for posts, and grep is used to find the reply tag to show the number of replies. The cool part about the search box is that I will be able to add regular expression search in the near future easily, so people who know how to use PCRE can find exactly what they are looking for. I'm not sure Google is going to index all the posts, but I'll figure that out. I think Admin on the original JD Underground took an approach similar to this one, although he had a traditional login system and it was always unclear what type of technology he was using on the backend. Either way, this was a fun challenge to start and it will be a continuously improved project. Feedback and feature requests are welcome. _reply Fri, 29 Dec 2023 19:42:15 -0800
zerosugar from private IP /all i like it bro. don't sweat it too much. _reply Wed, 03 Jan 2024 15:09:15 -0800
cowgod from private IP /all It looks good but you may wish to add more Graphics to attract Preps, or study www.autoadmit.com if you want more Losers and Nerds to post here. _reply Wed, 03 Jan 2024 21:06:31 -0800
Andy from private IP /all One update: I was researching the Boyer-Moore algorithm for something else, and it turns out that grep is blindingly fast due to its use of Boyer-Moore for string searching. For technical reasons I don't need to get into here, my approach to this simple BBS crushes all other general purpose bulletin board software, such as phpBB. All of those types of forum systems rely on dynamic pages generated from a SQL database, and once you have a critical mass of users, the performance slows down dramatically. When my techniques here are combined with another system I developed 20 years ago when I was doing my law school website, gigantic amounts of traffic are possible on a single server. I call my system Mosaic, because conceptually it uses shards and slices of files to assemble into a final HTML page without using any database. This is a great project and one that I enjoy doing. Discuss. _reply Sat, 06 Jan 2024 12:32:54 -0800
Gigapi from private IP /all Never made a web app that didn’t use a relational database on the backend myself. What is this architecture using plain text known as? Regarding db duplication etc , true if you’re serving a huge number of users in different localities and latency is important but for a site like this you would never need that imho _reply Sat, 06 Jan 2024 12:39:48 -0800
Andy from private IP /all Welcome Gigapi! I would call this a filesystem/NoSQL backend. I don't think it's going to get to the point of needing anything more advanced, and since it works, I use it...lol. Clicking on each individual post is basically completed within the seek time of the RAID 5 that I use for storage (9 ms). The only more significant pages are the index (60 ms so far) and the user profile pages (100+ ms). These pages are expected to be a bigger load on the disks, and I am watching those closely to make sure that my backend with Linux command line utilities remains optimal. I'm happy with this so far.
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