Comments (9)
The defaults for the sqlite storage aren't optimal. You can tune those (and get 10-20x improvement), but additionally you can set sqlite storage to be entirely in memory. I'll provide the details soon.
from torrent.
Sorry for the delay on this: Here are the defaults I use in https://www.coveapp.info/ for a squirrel.Cache, the implementation behind the direct sqlite storage:
cacheOpts.SetAutoVacuum = g.Some("full")
cacheOpts.SetJournalMode = "wal"
cacheOpts.SetSynchronous = 0
cacheOpts.Path = "squirrel2.db"
cacheOpts.Capacity = 9 << 30
cacheOpts.MmapSizeOk = true
cacheOpts.MmapSize = 64 << 20
cacheOpts.CacheSize = g.Some[int64](-32 << 20)
cacheOpts.SetLockingMode = "normal"
cacheOpts.JournalSizeLimit.Set(1 << 30)
cacheOpts.MaxPageCount.Set(15 << 30 >> 12)
This essentially says: Allow concurrent reads and a single writer (with decreased transaction overhead), don't bother to flush to disk on writes (it's a cache), store all the data in a file called squirrel2.db, limit the file to 9 GiB. Memory map the first 64 MiB of data (I think). Keep 32 MiB of the database in memory at most. Allow regular transactions. Don't let the journal get over 1 GiB in size. If the file gets over 15 GiB, return an error.
Many of these settings should be the default. Take a look at squirrel.NewCacheOpts, there's plenty of stuff in there, including exclusive mode, and memory mode which will give you even better performance.
from torrent.
if torrent file size like 5gb is it store whole into memory?🤔
if store data (~20mb chunk) into disk then I can get the best speed ?
from torrent.
Yes, download speeds are improved, but not suficient .
I noticed that Blot Storage has fast download speed. Is there bolddb has size limit, or is it possible to set limit?
from torrent.
No, the bolt DB implementation provided in anacrolix/torrent doesn't include size limits, or any cache eviction.
from torrent.
Did you want to try with https://github.com/anacrolix/possum?
The Go interface is here: https://pkg.go.dev/github.com/anacrolix/possum/go.
You can use the resource.Provider interface in https://pkg.go.dev/github.com/anacrolix/possum/[email protected]/resource with http://localhost:6060/github.com/anacrolix/[email protected]/storage#NewResourcePieces. It does require that you compile a Rust library.
In my testing it's not currently faster than using squirrel, but it is heading that way.
I'm not sure in general why you're not happy with the other storage backends, I've not seen them be bottlenecks before, so if you have more information you could share, please do (torrent/magnet link for example).
from torrent.
I'm working on a project that user can upload torrent file into their cloud storage like one drive,pcloud,storj,wasabi.. etc. I made an api that that require file reader to upload file . In my case I have got good speed except sqlite and filecache(maybe) .
from torrent.
Can you just pick one storage backend and go with that? Any reason you need the sqlite or filecache ones?
from torrent.
because cheap vps have low storage, so I'm trying to upload it like streaming without saving the file to disk.
from torrent.
Related Issues (20)
- Reinstate torrentfs on CI using fuse-t?
- x/exp: breaking changes support HOT 8
- Cannot `go get` this library HOT 3
- Inferring reasons for stopped transfer? HOT 3
- Race from peerconn on data read of closed torrent with [email protected] HOT 4
- Clean up ClientConfig HTTP options HOT 3
- error bootstrapping during bucket refresh: getting starting nodes: nothing resolved [dht 0.0.0.0:42069 github.com/anacrolix/dht/v2 server.go:1395] HOT 7
- Webseed download extremely slow HOT 1
- Count the number of bytes uploaded or downloaded. HOT 6
- Peer Selection Algorithm
- undefined: sync.OnceFunc HOT 7
- Support passing context to `torrent.Reader` HOT 1
- How to config DHT listen port? HOT 4
- Add global semaphore to limit amount of pieceHashers
- Problem getting magnet metadata on large files HOT 6
- Client requests indefinitely on storage write errors HOT 42
- Prioritize the use of local peers HOT 1
- Slow downloads while multiple large torrents are being downloaded. HOT 25
- panic: net/http: internal error: connCount underflow HOT 9
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from torrent.