eyros

4.7.2 • Public • Published

eyros

multi-dimensional interval database

This database is written in rust and compiled to wasm with a javascript interface.

The data structures are based on bkd and interval trees and designed for:

  • high batch write performance
  • peer to peer distribution and query-driven sparse replication
  • geospatial and time-series use cases

example

In this example, we populate an in-memory database with 2-dimensional points and intervals. Any points or intervals that intersect the bounding box from -10 to +10 on the x and y coordinates is returned in the query result.

const RAM = require('random-access-memory')
const eyros = require('eyros/2d')

;(async function () {
  var db = await eyros({
    storage: RAM,
    wasmSource: fetch('2d.wasm')
  })
  await db.batch([
    { type:'insert', point:[+1,+2], value: Uint8Array.from([97,98,99]) },
    { type:'insert', point:[-5,+4], value: Uint8Array.from([100,101]) },
    { type:'insert', point:[+9,-3], value: Uint8Array.from([102,103,104]) },
    { type:'insert', point:[+5,-15], value: Uint8Array.from([105,106]) },
    { type:'insert', point:[[+5,+12],[-15,-3]], value: Uint8Array.from([105,106]) },
    { type:'insert', point:[[-20,-11],[-8,+2]], value: Uint8Array.from([107]) },
  ])
  var q = await db.query([-10,-10,+10,+10])
  var row
  while (row = await q.next()) {
    console.log('row=',row)
  }
})()

To use the database from node, you can use fs.readFileSync() with require.resolve() to get the wasmSource:

const RAM = require('random-access-memory')
const eyros = require('eyros/2d')
const fs = require('fs')

;(async function () {
  var db = await eyros({
    storage: RAM,
    wasmSource: fs.readFileSync(require.resolve('eyros/2d.wasm'))
  })
  await db.batch([
    { type:'insert', point:[+1,+2], value: Uint8Array.from([97,98,99]) },
    { type:'insert', point:[-5,+4], value: Uint8Array.from([100,101]) },
    { type:'insert', point:[+9,-3], value: Uint8Array.from([102,103,104]) },
    { type:'insert', point:[+5,-15], value: Uint8Array.from([105,106]) },
    { type:'insert', point:[[+5,+12],[-15,-3]], value: Uint8Array.from([105,106]) },
    { type:'insert', point:[[-20,-11],[-8,+2]], value: Uint8Array.from([107]) },
  ])
  var q = await db.query([-10,-10,+10,+10])
  var row
  while (row = await q.next()) {
    console.log('row=',row)
  }
})()

api

const eyros2d = require('eyros/2d')
const eyros3d = require('eyros/3d')
const eyros4d = require('eyros/4d')
const eyros5d = require('eyros/5d')
const eyros6d = require('eyros/6d')
const eyros7d = require('eyros/7d')
const eyros8d = require('eyros/8d')

The precision for all databases is presently f32.

var db = await eyros{N}d(opts)

Open a database for the given dimension from:

  • opts.wasmSource - wasm data contained in an arraybuffer, typed array, Response, or a promise resolving to any of those types
  • opts.wasmStream - wasm source to pass directly to WebAssembly.instantiateStreaming() without inferring whether to stream or not
  • opts.wasmModule - already-created WebAssembly.Module instance
  • opts.storage(name) - function that returns a random-access interface
  • opts.getId(value) - return a Uint8Array id for a given value. defaults to returning the value
  • opts.branchFactor - number of non-intersecting branches per node. default: 6
  • opts.maxDepth - maximum tree depth before splitting into a separate tree file. default: 8
  • opts.maxRecords - maximum number of records to store per tree file. default: 20_000
  • opts.inline - threshold under which records will be written out in a list rather than branches. default: 500
  • opts.treeCacheSize - maximum number of trees to cache in the lru. default: 1000
  • opts.rebuildDepth - number of levels to rebuild each batch in an optimization pass: default 2
  • opts.debug - optionally supply a function to receive internal debug messages

One of opts.wasmSource or opts.wasmModule must be provided.

The opts.storage function must return random-access instances that implement a .length property, .len(cb), or .length(cb) function which returns the size in bytes that has been allocated for the given file.

Files to supply to opts.wasmSource can be obtained from the root of this package under the convention ${N}d.wasm for a dimension N.

await db.batch(rows, opts={})

Insert rows, an array of operations to perform on the database.

Each row must have a row.type set to 'insert' or 'delete' with a row.point and a row.value Uint8Array (for inserts) or a row.id (for deletes).

row.point is an n-dimensional array of scalar floats or 2-item arrays of [min,max] floats for each dimension.

Optionally provide:

  • opts.rebuildDepth - depth to calculate an optimizing rebuild up to (default: 2)
  • opts.errorIfMissing - whether to raise an error if deleted records are not found before removal

await db.sync()

Write database changes to the underlying data storage.

var q = await db.query(bbox, opts={})

Return an async iterator q containing all records from the database that intersect the bbox.

Obtain results by calling row = await q.next() until it yields a falsy result. Each row is a 2-item array of the form [point,value] and each point is an n-dimensional array of scalar floats or 2-item arrays of [min,max] floats for each dimension.

bbox is an array of the form [minX,minY,...,maxX,maxY,...]. For 2 dimensions, the bbox would be [west,south,east,north] for lon,lat coordinates.

Optionally provide a function opts.trace(tr) which will receive a tr object just before the corresponding file is read from storage:

  • tr.id - integer id for this tree file
  • tr.file - file path string for the tree
  • tr.bbox - bounding extents of the tree in minX,minY,...,maxX,maxY,...] form

The motivating use case for opts.trace is to cancel open requests for content which is no longer in view when panning a map. The information from the trace can be passed to the storage layer to make these decisions.

install

npm install eyros

license

bsd

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