Feathers: Gun.js

[marshallswain]

This is an interesting, real-time db.
http://gun.js.org

[daffl]

Is this something someone is planning to take on any time soon? If not we might want to close it. I don't think it makes sense to keep an issue open for every database out there. If we really want to support it we should probably just create the repository.

[marshallswain]

Yeah I keep wanting to play with this because it looks intriguing, but realistically there is too much fun elsewhere.

[34r7h]

+1 - would be great to include a nice distributed graph-like js db

[marshallswain]

Yeah @irthos. I keep looking for a time window to sneak in some development time for this into my schedule.

[34r7h]

@marshallswain time is always scarce :)
The versatility of gundb is very promising. being able to run on browser/server/p2p makes it standout from the crowd. however, i'm not sure of it's speed at scale so that's a concern. a hacky workaround seems to be using graphql on nedb but that complicates my concept of development.

[34r7h]

So I'm new to Feathers but it was fairly trivial to create a custom service. First yarn add gun, then I generated a service and called it '/gun'. In the gun.class.js's find method I added the example code from Gun's github but didn't include the http server code. Out of the box, it reads/writes to data.json.

find (params) {
    logger.info('baby, get your gun ', Gun);
    const gun = Gun({
      file: 'data.json',
      web: server,
      s3: {
        key: 'XXXXX', // AWS Access Key
        secret: 'XXXXXX', // AWS Secret Token
        bucket: 'XXXXXX' // The bucket you want to save into
      }
    });
    gun.get('narc').put(params);
    gun.get('narc').on(function(data, key){
      logger.info('update:', data);
    });
    return Promise.resolve([]);
  }

That's pretty easy. Prolly take a bit more work to get S3 working right and setup various watchers but we're on the way.

[marshallswain]

When I looked at this, the .find method will have to use gun.map: http://gun.js.org/docs/map.html to loop over all records in a database and find matches. It's a little weird that way, but the rest looks pretty simple to setup. @irthos the feathers-cli comes with a feathers generator plugin command if you want to start a plugin in a new repo. You can check out feathers-mongoose or one of the other adapters to see an example of how they're implemented. Thanks for looking into this!

[lock[bot]]

This issue has been automatically locked since there has not been any recent activity after it was closed. Please open a new issue with a link to this issue for related bugs.