• 261 Posts
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Joined 1 year ago
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Cake day: June 10th, 2023

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  • For me the reason was that I wanted encryption, raid1 and compression with a mainlined filesystem to my workstation. Btrfs doesn’t have encryption, so you need to do it with luks to an mdadm raid, and build btrfs on top of that. Luks on mdadm raid is known to be slow, and in general not a great idea.

    ZFS has raid levels, encryption and compression, but doesn’t have fsck. So you better have an UPS for your workstation for electric outages. If you do not unmount a ZFS volume cleanly, there’s a risk of data loss. ZFS also has a weird license, so you will never get it with mainline Linux kernel. And if you install the module separately, you’re not able to update to the latest kernel before ZFS supports it.

    Bcachefs has all of this. And it’s supposed to be faster than ZFS and btrfs. In a few years it can really be the golden Linux filesystem recommended for everybody. I sure hope Kent gets some more help and stops picking fights with Linus before that.


  • One of the best filesystem codebases out there. Really a top notch file system if you don’t need to resize it once it’s created. It is a write through, not copy on write, so some features such as snapshots are not possible using XFS. If you don’t care about features found in btrfs, zfs or bcachefs, and you don’t need to resize the partition after creating it, XFS is a solid and very fast choice.

    Ext4 codebase is known to be very complex and some people say even scary. It just works because everybody’s using it and bugs have been fixed years ago.







  • So basically your typical network protocol is something that converts an async stream of bytes into things like Postgres Row objects. What you do then is you write a synchronous library that does the byte conversion, then you write an asynchronous library that talks with the database with async functions, but most of the business logic is sync for converting the data coming from the async pipe.

    Now, this can also be done in a higher level application. You do a server that is by nature async in 2024. Write the server part in async, and implement a sync set of mapping functions which take a request coming in and returns a response. This can be sync. If you need a database, this sync set of functions maps a request to a database query, and your async code can then call the database with the query. Another set of sync functions maps the database result into http response. No need to color everything async.

    The good part with this approach is that if you want to make a completely sync version of this library or application, you just rewrite the async IO parts and can reuse all the protocol business logic. And you can provide sync and async versions of your library too!