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kappa-core
Advanced tools
a small core for append-only log based programs
A lot like flumedb, but using multifeed as an append-only log base, which is actually a set of append-only logs.
Pronounced "capricorn".
Experimental, but functional.
var kappa = require('kappa-core')
var memdb = require('memdb')
var core = kappa('./log', { valueEncoding: 'json' })
var idx = memdb()
var sum = 0
var sumview = {
api: {
get: function (core, cb) {
this.ready(function () {
cb(null, sum)
})
}
},
map: function (msgs, next) {
msgs.forEach(function (msg) {
if (typeof msg.value === 'number') sum += msg.value
})
next()
},
// where to store and fetch the indexer's state (which log entries have been
// processed so far)
storeState: function (state, cb) { idx.put('state', state, cb) },
fetchState: function (cb) { idx.get('state', cb) }
}
// the api will be mounted at core.api.sum
core.use('sum', sumview)
core.feed('default', function (err, feed) {
feed.append(1, function (err) {
core.api.sum.get(function (err, value) {
console.log(value) // 1
})
})
})
var kappa = require('kappa-core')
Create a new kappa-core database.
storage
is an instance of
random-access-storage. If a string
is given,
random-access-file
is used with the string as the filename.opts
include:
valueEncoding
: a string describing how the data will be encoded.Create or get a local writable feed called name
. If it already existed, it is
returned. A feed is an instance of
hypercore.
Install a view called name
to the kappa-core instance. A view is an object of
the form
{
api: {
someSyncFunction: function (core) { return ... },
someAsyncFunction: function (core, cb) { process.nextTick(cb, ...) }
},
map: function (msgs, next) {
msgs.forEach(function (msg) {
// ...
})
next()
},
fetchState: function (cb) { ... },
storeState: function (state, cb) { ... }
}
The kappa-core instance core
is always is bound to this
in all of the api
functions you define.
The {fetch,store}State
functions are optional: they tell the view where to
store its state information about what log entries have been indexed thus far.
If not passed in, they will be stored in memory (i.e. reprocessed on each fresh
run of the program). You can use any backend you want (like leveldb) to store
the Buffer
object state
.
Wait until all views named by viewNames
are caught up. e.g.
// one
core.ready('sum', function () { ... })
// or several
core.ready(['kv', 'refs', 'spatial'], function () { ... })
Create a duplex replication stream. opts
are passed in to
multifeed's API of the same name.
With npm installed, run
$ npm install kappa-core
flumedb presents an ideal small core API for an append-only log: append new data, and build (versioned) views over it. kappa-core copies this gleefully, but with two major differences:
hypercore provides some very useful superpowers:
Building views in arbitrary sequence is more challenging than when order is known to be topographic, but confers some benefits:
kappa-core is built atop ideas from a huge body of others' brilliant work:
ISC
[git-shallow]: https://www.git-scm.com/docs/gitconsole.log(one#gitconsole.log(one---depthltdepthgt)
FAQs
Minimal peer-to-peer database, based on kappa architecture.
The npm package kappa-core receives a total of 191 weekly downloads. As such, kappa-core popularity was classified as not popular.
We found that kappa-core demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 6 open source maintainers collaborating on the project.
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