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I'll clarify here: these weren't very scientific benchmarks, as I alluded to. So, don't take my word for it. I didn't measure ops per second, I didn't take into account system load or cpu usage, etc. This is all anecdotal evidence. I'm not saying this an announcement that "you shouldn't use sqlite". I measured the time of one query.

It was a benchmark I ran just to personally give me a general idea of what I was up against in terms of data management. This is primarily why I didn't post them in the first place. This was several months ago. I'll try to find the code that ran them and put them up on github if I can, but I doubt it will be that useful without the actual data, which isn't easy to upload.

So yes, to clarify, don't take my word for it. This is just my experience.

I would be interested in a repo or post about your setup for the actual project; downloading, storing and using blockchain data. Sounds super interesting so if it(article, repo, site) isn't private & exists, would be keen. Cheers.

Not the poster, but I did some benchmarks with embedded databases and Python if you're interested in completely useless, unscientific data:


The project itself an alternative bitcoin full node, one of the few (along with btcd, bitcoinj, etc), and the only one that runs in the browser: http://bcoin.io/browser.html. I've posted it here before but no one seemed to be interested.

It's probably not good if you want to index anything more than addresses, but you could easily modify it to index other things if you wanted to. The actual blockchain database resides here: https://github.com/bcoin-org/bcoin/blob/coinviews5/lib/bcoin...

^ That's the current branch I'm working on which, as it happens, optimizes a lot of the storage of utxos. Before, it was storing them the messy bitcoinj way. Now it uses coin viewpoints similar to bitcoind and btcd.

this is super awesome, starred the repo. thanks!

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