Project Goal

Winnow is made for applying sql to geojson in memory. It is useful for working against geojson objects but also has built-in primitives for piping streams.

API

winnow.query

Build and apply a query to a feature collection object or an array of features

const features = Object
const options = {
  where: String // A sql where statement
  geometry: Object // GeoJSON or Esri geometry Object
  spatialPredicate: String // ST_Within || ST_Contains || ST_Intersects
  fields: Array // Set of fields to select from feature properties
  aggregates: Object // Describes the set of aggregations to perform on fields
}
winnow.query(features, options)
// Returns the set of features that match the query

where

A sql where statement.

• 'Trunk_Diameter > 10'
• 'Trunk_Diameter > 10 AND Genus like 'Quercus%'
• (Genus like '%Quercus%' OR Common_Name like '%Live Oak%') AND Street_Type like '%AVE%'

geometry

A GeoJSON or Esri Geometry Object

// GeoJSON Polygon
{
  type: 'Polygon',
  coordinates: [[[-118.163, 34.162], [-118.108, 34.162], [-118.108, 34.173], [-118.163, 34.173], [-118.163, 34.162]]],
}

// Esri Envelope (aka Bounding box)
{
 xmin: -13155799.066536672,
 ymin: 4047806.77771083,
 xmax: -13143569.142011061,
 ymax: 4050673.16627152,
 spatialReference: {
   wkid: 102100
 }
}

spatialPredicate

Specifies the relationship between the passed-in geometry and the features in the data

• ST_Within: Features in the data must be completely within the passed-in geometry
• ST_Contains: Features in the data must completely contain the passed-in geometry
• ST_Intersects: Features in the data must intersect the passed-in geometry

fields

An array that specifies fields should be returned from each features properties or attributes. Will also accept a comma-delimited string.

e.g. [Trunk_Diameter, Common_Name, Genus]

aggregates

An array that specifies aggregations to apply across all features or properties. Must specify at least a type and a field. Providing a name for the aggregation is optional

Types: [sum, avg, count, max, min, first, last]

e.g:

[
  {
    type: 'sum',
    field: 'Trunk_Diameter',
    name: 'Total_Trunk_Diameter'
  },
  {
    type: 'avg',
    field: 'Trunk_Diameter'
  }
]

winnow.prepareQuery

Returns a function that can be applied directly to a feature collection object an array of features, or a single feature. Useful when you want to pass a stream of features through a filter.

const options = {
  where: String,
  geometry: Object,
  spatialPredicate: String,
  fields: Array,
  aggregates: Array
}
const filter = winnow.prepareQuery(options)
filter(geojson)
// returns the set of feature that match the query

winnow.sql

Execute sql directly against the query engine.

• Replace any variables with ?
• Table name should always be replaced by ?
• Non-string values always be replaced by ?

const statement = 'Select * from ? where Genus in ?'
const data = geojson
const genus = ['Quercus']
winnow.sql(statement, [geojson, genus])
// returns all features that match the query

winnow.prepareSql

Pass in a statement and return a filter than can be applied to a feature collection object, an array of features or a single feature. Variables work in the same way as winnow.sql

const statement = 'Select Trunk_Diameter from ? where Trunk_Diameter > 100'
const filter = winnow.prepareSql(statement)
filter(geojson)
// returns all the features that match the query

Issues

Find a bug or want to request a new feature? Please let us know by submitting an issue.

Contributing

Esri welcomes contributions from anyone and everyone. Please see our guidelines for contributing.

License

Apache 2.0