我目前正在使用Javascript構建我的第一個真正的郊遊,以構建我們客戶數據的交互式地圖。Leaflet.js和JSON數據:優化和性能
到目前爲止,我已經掌握了基本的工作原理,但是當我開始使用標記或帶有圓圈標記的10,000個標記時,性能開始下降....如果任何人都可以提供一些關於如何優化我的建議我已經得到了,或者我最好是移動到一個適當的數據庫像mongo的JSON數據或工作服務器端的Node Js也許?
任何意見,將不勝感激:)
var apiKey = 'BC9A493B41014CAABB98F0471D759707',
styleID = '108219';
// styleID = '997';
// var map = L.map('map').setView([54.550, -4.433], 7);
var southWest = new L.LatLng(61.029031, 4.746094),
northEast = new L.LatLng(48.786962 ,-13.183594),
bounds = new L.LatLngBounds(southWest, northEast);
var mapcenter = new L.LatLng(53.457393,-2.900391);
var map = new L.Map('map',
{
center: mapcenter,
zoom: 7,
// maxBounds: bounds,
zoomControl: false
});
var cloudmadeUrl = generateTileURL(apiKey, styleID),
attribution = 'Map data © OpenStreetMap contributors.',
tileLayer = new L.TileLayer(
cloudmadeUrl,
{
maxZoom: 18,
attribution: attribution,
});
tileLayer.addTo(map);
var zoomControl = new L.Control.Zoom({ position: 'topleft'});
zoomControl.addTo(map);
var scaleControl = new L.Control.Scale({ position: 'bottomleft' });
scaleControl.addTo(map);
geojsonLayer = L.geoJson(geojson, {
pointToLayer: function(feature, latlng) {
return new L.CircleMarker(latlng, {fillColor: feature.properties.MarkerColour, fillOpacity: 0.5, stroke: false, radius: 6});
// return new L.Marker(latlng, {icon: L.AwesomeMarkers.icon({icon: feature.properties.MarkerIcon, color: feature.properties.MarkerColour, iconColor: 'white'}) });
},
onEachFeature: function (feature, layer) {
layer.bindPopup('<strong><b>Customer Data</b></strong><br />' + '<b>Result : </b>' + feature.properties.Result + '<br />' + '<b>Postcode : </b>' + feature.properties.Postcode + '<br />');
}
});
console.log('starting: ' + window.performance.now());
map.addLayer(geojsonLayer);
console.log('ending: ' + window.performance.now());
function generateTileURL(apiKey, styleID) {
return 'http://{s}.tile.cloudmade.com/' + apiKey + '/' + styleID + '/256/{z}/{x}/{y}.png';
}
和一些樣本數據:
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.213467,
51.494815
]
},
"properties": {
"DateTime": "1372719435.39",
"Result": "Cable Serviceable",
"MarkerIcon": "ok-sign",
"MarkerColour": "green",
"Postcode": "W14 8UD"
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.389445,
51.512121
]
},
"properties": {
"DateTime": "1372719402.083",
"Result": "Refer for National Serviceability",
"MarkerIcon": "minus-sign",
"MarkerColour": "red",
"Postcode": "UB1 1NJ",
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.411291,
51.508012
]
},
"properties": {
"DateTime": "1372719375.725",
"Result": "Cable Serviceable",
"MarkerIcon": "ok-sign",
"MarkerColour": "green",
"Postcode": "UB3 3JJ"
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-2.11054,
53.500752
]
},
"properties": {
"DateTime": "1372719299.088",
"Result": "Cable Serviceable",
"MarkerIcon": "ok-sign",
"MarkerColour": "green",
"Postcode": "OL7 9LR",
}
}
您的瓶頸不是表明數據的數據庫。在一個視圖或10,000個圓圈標記中顯示500pois是真正的szenario嗎?或者您的問題是否意味着在數據庫中搜索一個包含10000個圓圈標記的已定義邊界? – Bernhard
目前的演示版本處理的值較低,大約在500 - 2500之間......最終版本需要能夠一次顯示10,000多個數據點......我相信這個問題是由於它在瀏覽器端實時渲染? 只是想知道是否有不同的方式我真的可以解決縮放問題 – Guitaraholic