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(wow) Words Of Wonders Level 1490 Answers

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(wow) Words Of Wonders Level 1490 Answers

First of all, thanks for sharing your document. (conflict-free JSON datatype) with the library and the world.

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I started playing with automerge this afternoon and want to run it online but I don't have access to the server. So I wanted to do some basic testing to see if it would work with the web aggregation system I'm currently using (I hope this is a step up in the p2p world, I guess that's what we all do): )

So to avoid getting fired So I wanted to share what I saw and questioned, like Steve Jobs said, “Am I wrong?” 🙂

Process. Times (on my MacBook) ranged from 6ms per 1 press, to 43.75s for 10000 hits, 175m for 100 thrusts, and 1.345 for 1.000 thrusts.

Including all hidden fields and object handling) seems to follow a similar pattern. One entry is 3557 bytes (first entry size: 18 bytes), 10: ~17KB, 100: ~160KB, 1000: ~1.6MB, and 10,000 line numbers are ~16MB (first entry size: ~80 bytes). I'm not showing the exact amount of memory or file system space. which these things are used Unless I'm doing something really stupid. (Always possible) The system causes an average processing delay of about 100.

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Then I think I may have misunderstood and it should be used as an input device.

Instead of trying to add 10000 lines, I'd like to test one change added to a line with 10000 entries.

Time seems to follow the same line. But for a set of 10000 objects, the results I get are ~3 times slower than ~43 seconds, down from ~115 seconds using the first method.

As for the size of the text, after 100 points it is smaller compared to the original technique, it is ~1.3MB for 1000 items and ~13MB for 10000 items.

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I'd love to hear your thoughts on this. Same as above review My application is a personal website that allows me to send messages between websites. I'm using 10000 tests as a high-level example for a first run (eg: 10000 posts per category, 10000 posts per thread), the total could be somewhere between 20-30 and hundreds, but in this case the response time. React has to be executed outside the main thread to avoid UI delays.

Additionally, because Automerge is used in two physical environments, That's why we'd love to hear from you in real-world experiences with performance, size, and storage requirements.

Or something like that in general I think updating them all with the same value might cause the problem.

I greatly appreciate your contribution to this analysis. And I'm interested in delving into the possible causes of performance issues and how to fix them.

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@schrepfler I looked at guns, but I'm wary for a few reasons (including that there's VC and I haven't found a conflict-free algorithm that fits my purposes, etc.). Deal with this problem in different ways. and share their work. We can only stick 🙂

Hi @aral, Great job, thanks for the rating. Don't get “misunderstood” – you need to properly support your testing methodology.

Because Automerge internally stores multiple views of the same object. Meter size therefore may not matter. These items only appear in memory once. But it may appear in memory multiple times.

You may remember, I saw similar results to yours in my recent profile. I discovered it while looking at the ruins.

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So I figured I should turn to memory optimization and data-friendly GC to improve Automerge's performance. This will also reduce memory usage.

I started developing and implementing algorithms to make Automerge better recognize internal structures. It will take several weeks to complete. Because it will require a lot of internal repairs. But it is. And this new system is expected to provide better performance. especially on large networks

Conclusion: I know the performance is not good at the moment. But we have plans to improve and I hope we can do more. I'd like to see more of your testing with Automerge and hear more about the specific web system you plan to build.

As I understand it, GC is a very serious problem in peer-to-peer systems. Because you never know when a node might come online with unusual activity related to its garbage collection history. I recently read Alexey (@archagon)'s excellent review on CRDT and his work on simple trees and extracted data types (ORDT), and the results presented here, including those of the GC, are amazing. very interested (http://archagon.net)/blog/2018/03/24/history related information/). I don't know if you've talked yet. But that's all you need to mention 🙂

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One thing I'd like to see in my chosen CRDT algorithm/library is to sign each transaction to ensure integrity and include the authorized party's public key in the signed message (e.g. DAT/ hypercore) for example) as well as bringing a decentralized system that doesn't depend on a central server, Casual Tree's DAG method sounds perfect to me 🙂

Access; However, in most applications You're not showing 10,000 items at once. But the list will gradually increases with user activity so it is possible

Would that be a reasonable standard? That's 1.3 million per transaction for 1,000 items, and 4.3 million for 10,000 items. To be clear, it's not fast, but more than 43 seconds of scratching your head.

Second, your text function compares to The standard JavaScript.push() auto-merge uses immutable data structures. So the list must be copied for each change, while array.push() changes the list. in comparison apple-to-apple The script must also copy the line for each variable:

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On my laptop This script took 270 ms for 10,000 entries, while a similar change in Automerge took 39.7 seconds. Automerge is currently 150 times more expensive than a simple JavaScript syntax. This is a gap we must try to fill.

Note. Forgot to mention, I replied when I watched your presentation at the last conference in London. Great discussion 🙂 Nice to see this line of work progressing with practical work in parallel projects 🙂

Interested in this specifically about updating internal data and replacing immutable.js with things like immer ?

Also, does anyone have more insights on the pros/cons? Especially the performance of the gun. (https:///amark/guns) applied in real time to the DB?

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Some performance improvements (especially #177), but there's still more to do. I'm working on a new data model for the acting department. I'm busy with other things So the work has been suspended since November. but i will continue Sorry it took so long – it's a difficult problem. (and hard to represent)!

Thank you very much for the update @ept, nice to hear about the progress and future development plans!

As for GunDB, it doesn't seem to start due to lack of compact/GC/prune. time travel and easy way to edit history This is despite the overhead associated with keeping log changes. In this way, GunDB appears to only have Hypercore memory in Hypermerge instead of generic Automerge.

I want to reconsider what @aral said 3 years ago which was an article about ORDT (and triggers) as there are a lot of ways to solve all the problems I see.

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I created intersection (distance, line width) and reconstruction (speed) and other blending methods (concepts) that I described in Kindelia/Type #167 (Concept) (Compare this with #253)

@ept I recommend reading the article and looking at the ORDT example (eg: https:///courajs/referent).

We've successfully used this awesome library in many projects (thanks!), but we've found inefficiencies in other projects.

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