randomwebdev
Joined 4 years ago
Joined 4 years ago
I expect it to be faster but it is also possible that maybe in your specific collection and execution scenario it somehow perform worst, or at least not the same as in my benchmarks, I'm not sure.
The ~4x mentioned speed up is based on the tests for Hetzner CAX41 with the CGO driver when creating 50k records with 500 concurrent clients:
Old (58.409064001s): https://github.com/pocketbase/benchmarks/blob/54140be5fb0102...
New (13.580098262s): https://github.com/pocketbase/benchmarks/blob/7df0466ac9bd62...
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Edit: Based on your benchmarks repo (https://github.com/trailbaseio/trailbase-benchmark/tree/main...) note that compiling PocketBase with `CGO_ENABLED=1` is no longer enough to kick in the github.com/mattn/go-sqlite3 driver and you need to enable it manually as shown in the db_cgo.go in our benchmarks OR like in https://pocketbase.io/docs/go-overview/#github-commattngo-sq... (the reason for this change was to avoid the "multiple definition" linker errors).
It is nice to see more backends utilizing SQLite. The benchmarks and the Comparisions section also seem well done.
Just a nitpick - list the versions of the tested platforms.
Based on your benchmarks repo it looks like that the tests were done against PocketBase < v0.23 but note that PocketBase v0.23+ (especially with the Create API rule dry submit removal in v0.24+) has introduced significant changes and performance improvements - ~4x times in high concurrent scenarios in our own benchmarks[0] (if you want to retest it note that the CGO driver is no longer loaded by default and will have to be registered manually; see the example "db_cgo.go" in the PocketBase benchmarks repo or in the "Custom SQLite driver" docs[1]).
[0]: https://github.com/pocketbase/benchmarks
[1]: https://pocketbase.io/docs/go-overview/#custom-sqlite-driver
Keep in mind that PocketBase do a lot more than just executing a raw DB query. We perform data validation, normalization, serialization, enriching, auto fail-retry to handle additional SQLITE_BUSY errors, etc. All of this comes with some cost and will always have an effect when doing microbenchmarks like this.
The performance would also depend on what version of PocketBase did you try (before or after v0.10), whether you used CGO or the pure Go driver, etc.
For a benchmark closer to "real world" scenarios tested on various servers you can check the results from https://github.com/pocketbase/benchmarks.
There is definitely room for improvements (I haven't done any detailed profiling yet) but the current performance is "good enough" for the purposes the applications PocketBase is intended for (I've shared some numbers regarding a PocketBase app on production in https://github.com/pocketbase/pocketbase/discussions/4254).
Hope the above helps.
During development vite has HMR and you don't need to run build after every change. This is no different when using SSR.
But I don't want to further argue. If you think that SPA is not suitable for your use case, that's ok.
I haven't personally noticed the vite/esbuild memory consumption, but I also run build only once at the end before deployment or generating the prod artifacts.
Performance wise I haven't done intensive benchmark tests yet, but from my local experiments last year it performed ~1.5-2x slower than the CGO version for some queries (it is especially noticeable with LIKE expressions on large string data), but as mentioned previously, for most use cases it is already good enough.
Here are the most recent benchmarks I could find (I think from one of the maintainers of the lib) comparing the CGO version and the pure Go port - https://docs.google.com/spreadsheets/d/1YOP1D_ZhuR-ednQhTH6S...
You can define schema via migrations or through the admin UI (see https://pocketbase.io/docs/manage-collections/).
As an alternative, you can always create indexes through DB migrations or add the index directly via the `sqlite3` cli.
Dart SDK (targeting mainly Flutter) is also on the way.
Unfortunately I'm not very uptodate with Android (Kotlin) or iOS (Swift) development and therefore community contributions are more than welcomed.
You could always implement your own custom CMS SPA frontend that interacts with the PocketBase API (that is how I'm planning to use it with the next version of my other open source project - Presentator).
I've worked with CRDT in the past (yjs), but it may not be very useful in PocketBase considering that the application was designed to run on a single server and db writes are practically queued (you can have only one sqlite writer at a time). I'll investigate it further and may consider it for future release.
User defined filters for the subscriptions are not supported, but it's a good idea and I may consider it in the future.
Currently the subscriptions are filtered through the collection's list and view rules - they also act as "admin level filters", aka. filters that are always applied and regular users cannot modify (getList user defined filters are only appended to the search query together with the admin defined filters).
Internally, each Collection creates a standard SQLite table that holds the collection records, so migrating the data structure shouldn't be too troublesome. The only thing that may prove difficult to migrate could be reimplementing the access rules and filters.
But in my opinion, when your application reaches that level of growth requiring multiple servers and services, your business use cases mostly likely will have changed several times already from your initial idea.
Yes I noticed that too so that it is very likely the reason.
In all cases my initial comment wasn't intended to "dispute", argue or anything like that, so please don't feel obligated to waste time updating the benchmarks. They are valid as they are!
My initial comment was more of a note/suggestion to simply list the used versions of the tested platforms (not just for PocketBase) because often they change over time and the shown results could be misleading if someone stumble on the article 2 years later for example.