krondor
Joined 15 years ago
Joined 15 years ago
So as I was saying I'm tempted to move back to Linux for my work laptop for LDAC over BT support as well as other reasons of course.
Even still LDAC seems superior from my comparison to my Android and iPhone audio.
See this thread for some discussion on it. https://www.reddit.com/r/MacOS/comments/bion53/force_macos_t...
It makes a huge difference in audio quality over bluetooth in my experience.
*edit: Just realized I posted the wrong link. https://eischmann.wordpress.com/2019/02/11/better-bluetooth-...
Musk may have been inspired by this plant. http://www.businessinsider.com/tesla-factory-like-ford-plant...
IANAL so I have no clue what is technically correct, but the fact is that Ubuntu is distributing zfs.ko in 16.04.
To the point of lzo performance though, btrfs is a tad smart with compression, it tries to compress an initial 128KiB and if the compressed segment is not smaller than the uncompressed it adds it to a list of no compress files, and will not try compression on that file again (unless of course you force it).
This was for our Hadoop use case, comparing to ext4, so nodatacow would work because we have no desire of snapshots in that environment. It still seems like we're better of compressing within the Hadoop framework (as jamesblonde is doing) and sticking with ext4 jbod, for now at least.
ZFS is an excellent filesystem, btrfs is an excellent filesystem. There is room for both excellent options for users.
Have a look; https://btrfs.wiki.kernel.org/index.php/ENOSPC
Reading more for my own interest it seams ZFS uses ZIL to help convert random writes to sequential, which helps with fragmentation under low space. I am curious if bcache, can operate similarly. In addition, I should also point out that this is less of an issue on SSD, due to the nature of how random reads/writes work there anyway (btrfs does a good job of being SSD aware).
Hadoop is a completely different workload, and maybe not something for ZFS or btrfs. Our Hadoop nodes are not raid, just JBOD ext4 disks. We have been conidering btrfs with nodatacow mount option and lz4 compression, however. We haven't decided if it's better to compress within Hadoop or at the fs layer yet. I would be curious on your findings.
See this for the ZFS example; http://serverfault.com/a/556892/79238
In both cases the exact amount of free space you desire is a mix of workload, fragmentation, and snapshots.
However, I disagree they waste a lot of space. I think both ZFS and btrfs more than make up for the overhead of free space commits through their space saving features. cp --reflink, block suballocation, compresssion, and efficient snapshots outweight the overhead, in my case. Your mileage may vary.