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
geometry: Object
spatialPredicate: String
fields: Array
aggregates: Object
groupBy: Array
order: Array
projection: Number || String
}
winnow.query(features, options)
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
{
type: 'Polygon',
coordinates: [[[-118.163, 34.162], [-118.108, 34.162], [-118.108, 34.173], [-118.163, 34.173], [-118.163, 34.162]]],
}
{
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
Can also specify the esri-style predicates esriSpatialRelWithin, esriSpatialRelContains, esriSpatialRelIntersects
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'
}
]
groupBy
An array of fields used to group the results. Must be used with aggregates. Note this will not return any geometry
limit
The total number of results to return
order
An array of fields use to sort the output
projection
Can be an epsg code, an ogc wkt or an esri wkt. This parameter controls how the geometry will be projected to another coordinate system.
toEsri
If true, the object returned will be an esri feature collection
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)
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])
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)
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