Recent submissions

Comment · 20 days ago
Been using Handy I am pretty happy but good to see more options, specially OSS.
Comment · 5 months ago
Working on Marmot https://github.com/maxpert/marmot recently added support for vector index. My local benchmarks show pretty decent QPS with less than GB of RSS on DBpedia dataset.

Interesting part is that I started off implementing a research paper for indexing and performance was not good enough. I ended up tuning things up for my own use-case and ended up with good enough replicatable RAG store.

Comment · 8 months ago
Can't seem to find what is the processor on this thing?
Comment · 8 months ago
I am as usual working on Marmot https://github.com/maxpert/marmot

I've got replicas now working with DML proxy. This essentially means I can now have a cluster of primaries, and then spin up replicas on demand and nodes talking to local host will never see their mutation work pretty transparently from readonly-replicas. While PoC works now the snapshot restore is extremely inefficient IMO yet.

Comment · 8 months ago
Tell me that you are hurt without telling me that you are hurt this applies to Sam right now
Comment · 8 months ago
Is this me or Sam is being absolute sore loser he is and trying to steal Opus thunder?
Comment · 9 months ago
LOL I guess the editors using Notepad++ downvoted you :P
Comment · 9 months ago
A lot of skepticism in comments. Let me remind them doing N loops over local disk with in memory cached pages is absolutely different compared to doing RT over typical VPS network. Having said that there is no silver bullet for dumb code! So let's not conflate the argument the author is trying to make.
Comment · 9 months ago
Comment · 9 months ago
Disclaimer: I am author of Marmot https://github.com/maxpert/marmot so I will sound extremely bias.

I have been asked multiple times on why I chose SQLite and not Turso. I've always responded people that I don't trust an open-source project once it's backed by a VC firm. I've moved away from Redis to Val-Key for same reason, and we have seen the Redis train-wreck in slow-mo. I hope at no point in future Turso ever ends up in that state, but chances are pretty high. At this point the "compatible with SQLite" has become a marketing term IMO, we all know how easy it is to break compatibility here or SQLite to break compatibility.

Comment · 9 months ago
jQuery is the last time I felt a library doing magic! Nothing has matched the feelings since then.
Comment · 10 months ago
Yes! Changes are deterministic.
Comment · 10 months ago
Ok it's a very long discussion but I will try to keep it brief here (more than happy to chat on Marmot Discord if you wanna go deeper). Honestly I've not done head to head comparison, but if you are asking for guestimated comparison:

- Marmot can give you better easy DDL and better replication guarantees.

- You can control the guarantees around transactions. So if you're doing a quorum based transaction, you are guaranteed that quorum has written those set of rows before returning success. This takes care of those conflicting ID based rows getting overwritten that people would usually ignore. And you should be able to do transactions with proper begin and commit statements.

- Disk write amplification is way lower than what you would see in CRDT. This should usually mean that on a commodity hardware you should see better write throughput. As I mentioned on my local benchmarks I'm getting close to 6K insert ops. This was with a cluster of three nodes. So you can effectively multiply it by three and that is like 18k operations per second. I did not set up a full cluster to actually benchmark these. That requires investing more money and time. And I would be honestly frugal over here since I am spending all my $$$ on my AI bill.

- Reads as you can see, you can read directly from the SQLite database. So you are only bottlenecked by your disk speed. There are no fancy mergers that happen on CRDT level in the middle. It's written once and you're ready to read.

- The hardest part in my opinion that I faced was the auto increment IDs. It is a sad reality but turns out 99% of small to mid-size companies, are using the auto increment for IDs. In all CRDTs, in case of conflict, the LWW (based on one ID or another) happens, and I can guarantee you at some point in time without coordination, if nodes are just emitting those regular incrementing IDs, THEY WILL OVERWRITE each other. That was the exact problem in the first version of Marmot.

- SQLite is single writer database. cr-sqlite writes these delta CRDT rows in a table as well, under high write load you are putting too much pressure on WAL, how do I know? I did this in Marmot v0.x and even v2 started with that and eventually I decided to write logs in a SQLite database as well. Turns out at a high throughput even writing or dumping those logs that change logs that I'm gonna discard away is a bad idea. I eventually move to PebbleDB, with mimalloc based unmanaged memory allocator for serialization/deserialization (yes even that caused slowdowns due to GC). It doesn't stop here each row in CRDT entry is for one every column of table (changed column) + it has index for faster lookup. So there that will bog it down further on many many rows. For context I have tested Marmot on gigs of data not megs.

I do have couple of ideas on how I can really exploit the CRDT stuff, but I don't think I need it right now. I think most of stuff can be taken care of if I can build and MVCC layer on top.

Comment · 10 months ago
I see your point. Yes the Debezium path requires more configuration and ochestration, litestream makes it very simple. Would be more than happy to provide this out of box in Marmot if enough users request it (Feel free to open ticket).
Comment · 10 months ago
Yes explored that path too with CRDTs.

- DDL gets really tricky in these cases, that's why you see Corrosion has this weird file based system. - cr-sqlite ain't maintained anymore but I did some benchmarks and if I remember correctly it was as slow as 4x-8x depending upon type of your data & load. Storage bloats by 2x-3x, tombstones accumulate pretty fast as well.

I mean each mutation on every column looks something like:

table, pk, cid, val, col_version, db_version, site_id, cl, seq

Overall I dropped the idea after spending month or two on it.

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