我的sencha touch app我的json数据就像这样,
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"id": "rodos_business_pois.1",
"geometry": {
"type": "Point",
"coordinates": [
28.21962354993591,
36.452844361147314
]
},
"geometry_name": "geom",
"properties": {
"id": null,
"business_p": "AQUARIOUM",
"name_owner": null,
"surname_ow": null,
"middle_nam": null,
"category_n": "BAR",
"category_c": "020200",
"category_1": null,
"category_2": null,
"category_3": null,
"address": "28 GRIVA GEORGIOU",
"street_nam": "ÃÑÉÂÁ ÃÅÙÑÃÉÏÕ",
"number": "28",
"postcode": null,
"places_en_": "RODOS",
"f16": 1,
"f17": 0,
"tel": 2.24102778E9,
"fax": 0,
"mob": 0,
"email": null,
"url": null,
"places_gr": null,
"places_en": null
}
},
{
"type": "Feature",
"id": "rodos_business_pois.2",
"geometry": {
"type": "Point",
"coordinates": [
28.225417523605692,
36.436470953176716
]
},
"geometry_name": "geom",
"properties": {
"id": null,
"business_p": "ZIGOS",
"name_owner": null,
"surname_ow": null,
"middle_nam": null,
"category_n": "BAR",
"category_c": "020200",
"category_1": null,
"category_2": null,
"category_3": null,
"address": "89 KAZOULI STEFANOU",
"street_nam": "ÊÁÆÏÕËÇ ÓÔÅÖÁÍÏÕ",
"number": "89",
"postcode": null,
"places_en_": "RODOS",
"f16": 1,
"f17": 0,
"tel": 2.24103987E9,
"fax": 0,
"mob": 0,
"email": null,
"url": null,
"places_gr": null,
"places_en": null
}
},
{
"type": "Feature",
"id": "rodos_business_pois.3",
"geometry": {
"type": "Point",
"coordinates": [
28.223100266167258,
36.45251556942936
]
},
"geometry_name": "geom",
"properties": {
"id": null,
"business_p": "LA ROSA FASHION BAR",
"name_owner": null,
"surname_ow": null,
"middle_nam": null,
"category_n": "BAR",
"category_c": "020200",
"category_1": null,
"category_2": null,
"category_3": null,
"address": "4 PAPANIKOLAOU GEORGIOU",
"street_nam": "ÐÁÐÁÍÉÊÏËÁÏÕ ÃÅÙÑÃÉÏÕ",
"number": "4",
"postcode": null,
"places_en_": "RODOS",
"f16": 1,
"f17": 0,
"tel": 2.2410974E9,
"fax": 0,
"mob": 0,
"email": null,
"url": null,
"places_gr": null,
"places_en": null
}
},
{
"type": "Feature",
"id": "rodos_business_pois.4",
"geometry": {
"type": "Point",
"coordinates": [
28.226588152300117,
36.43403310824089
]
},
"geometry_name": "geom",
"properties": {
"id": null,
"business_p": "G-NET",
"name_owner": null,
"surname_ow": null,
"middle_nam": null,
"category_n": "RESTAURANT",
"category_c": "020100",
"category_1": null,
"category_2": null,
"category_3": null,
"address": "135 AGIAS ANASTASIAS",
"street_nam": "ÁÃÉÁÓ ÁÍÁÓÔÁÓÉÁÓ",
"number": "135",
"postcode": null,
"places_en_": "RODOS",
"f16": 1,
"f17": 0,
"tel": 2.2410351E9,
"fax": 0,
"mob": 0,
"email": null,
"url": null,
"places_gr": null,
"places_en": null
}
},
{
"type": "Feature",
"id": "rodos_business_pois.5",
"geometry": {
"type": "Point",
"coordinates": [
28.215719877096184,
36.43079419827729
]
},
"geometry_name": "geom",
"properties": {
"id": null,
"business_p": "ANDRMEDA LOUNGE BAR",
"name_owner": null,
"surname_ow": null,
"middle_nam": null,
"category_n": "CAFE",
"category_c": "020100",
"category_1": null,
"category_2": null,
"category_3": null,
"address": "4 PAPANDREOU GEORGIOU",
"street_nam": "ÐÁÐÁÍÄÑÅÏÕ ÃÅÙÑÃÉÏÕ",
"number": "4",
"postcode": null,
"places_en_": "RODOS",
"f16": 1,
"f17": 0,
"tel": 2.2410974E9,
"fax": 2.2410975E9,
"mob": 0,
"email": null,
"url": null,
"places_gr": null,
"places_en": null
}
},
{
"type": "Feature",
"id": "rodos_business_pois.6",
"geometry": {
"type": "Point",
"coordinates": [
28.226209613062103,
36.43806195312573
]
},
"geometry_name": "geom",
"properties": {
"id": null,
"business_p": "DOLCE CAFE",
"name_owner": null,
"surname_ow": null,
"middle_nam": null,
"category_n": "RESTAURANT",
"category_c": "020100",
"category_1": null,
"category_2": null,
"category_3": null,
"address": "14 DODEKANISIAKIS NEOLEAS",
"street_nam": "ÄÙÄÅÊÁÍÇÓÉÁÊÇÓ ÍÅÏËÁÉÁÓ",
"number": "14",
"postcode": null,
"places_en_": "RODOS",
"f16": 1,
"f17": 0,
"tel": 2.24102988E9,
"fax": 0,
"mob": 0,
"email": null,
"url": null,
"places_gr": null,
"places_en": null
}
},
.......
.......
....... and so on..
我可以使用sencha touch json reader一次解析所有这些数据, 但现在我想按类别解析这些数据,意味着 我希望解析所有类似 BAR 或 CAFE 或 RESTAURANT 等类别的数据。
任何帮助都将得到帮助。 提前谢谢。
答案 0 :(得分:1)
这是您过滤商店的方式
store.filterBy(function(record, id){
var cat = record.get('category_n');
if(cat == 'BAR' || cat == 'CAFE' || cat == 'RESTAURANT'){
return true;
}else{
return false;
}
});
这将迭代每条记录并将其传递给函数,因此如果要检查category_n
编辑:确保在下次通过
将数据加载到商店时清除商店过滤器store.clearFilter();