3 ms·
Here's a single datapoint: { "type": "Feature", "id": "b52fc9c8940ff3885830dc3de305e5ac", "geometry": { "type":"Point",
by cousin_it 15y ago
Here's a single datapoint:
{
"type": "Feature",
"id": "b52fc9c8940ff3885830dc3de305e5ac",
"geometry": {
"type":"Point",
"coordinates":[-122.393,37.7955]
},
"properties": {
"_id":"b52fc9c8940ff3885830dc3de305e5ac",
"_rev":"1-1b07544c7620ff6af55550eb2e3ed66a",
"Jams":"1",
"WIC":"1",
"Vegetables":"1",
"Street":"One Ferry Building, Suite 50",
"Credit":"1",
"Prepared":"1",
"Soap":"0",
"Nuts":"1",
"MarketName":"Ferry Plaza Farmers' Market",
"lng":"-122.393365",
"Cheese":"1",
"SFMNP":"1",
"WICcash":"0",
"Zip":"94111",
"Seafood":"1",
"Fruit":"1",
"Herbs":"1",
"Honey":"1",
"lat":"37.7955195",
"Description":
"The Ferry Plaza Farmers' Market is located at \
the foot of Market Street and on the Embarcadero \
at the historic San Francisco Ferry Building.",
"Flowers":"1",
"updateTime":"4/14/11 12:02",
"Website":"http://www.cuesa.org",
"Bakedgoods":"1",
"full_address":
"One Ferry Building, Suite 50, San Francisco, California 94111",
"Location":"City/ township public building grounds",
"City":"San Francisco",
"Crafts":"0",
"Meat":"1",
"Maple":"0",
"County":"San Francisco",
"State":"California",
"SNAP":"1",
"Plants":"1",
"y":"37.7955",
"x":"-122.393"
}
}
About 1 kilobyte of text. Throw away the GeoJSON boilerplate and the long IDs, compress all the 0/1 fields into a single int (all entries have the same set of them), remove 2 of the 3 redundant copies of coordinates, basically strip away the cruft and you can make it 2x-3x smaller. So optimistically that would be about 3 megs of JSON. And the user can throw away unneeded data even further.
I think the usability advantages of having the whole file available locally (compared to an API) outweigh the disadvantages here.