var data = arrayUtils.map(featureSet.features, function (entry, i) {           return {             NAME: entry.attributes.SITENAME,             REGION: entry.attributes.REGION,             WATERBODY: entry.attributes.WATERBODY,             TYPE: entry.attributes.TYPE,             ACCESSAREA: entry.attributes.ACCESSAREA,             LOCATION: entry.attributes.LOCATION           };         });         grid.store.setData(data);         grid.refresh();var newStore = new dojo.data.ItemFileReadStore({data: {  identifier: "",  items: []}});  var grid = dijit.byId("grid");  grid.setStore(newStore); }
					
				
			
			
				
			
			
				Solved! Go to Solution.
Field 1 Field 2 Field 4 Field 5 Field 3
 var data = array.map(results.features, function(feature) {   return {                       "id": feature.attributes[outFields[0]],         "NAME": feature.attributes[outFields[2]],         "WATERBODY": feature.attributes[outFields[3]],         "ACCESSAREA": feature.attributes[outFields[5]],         "LOCATION": feature.attributes[outFields[9]]   } }); outFields = ["OBJECTID", "SITENAME", "WATERBODY", "ACCESSAREA", "LOCATION"];
 var data = array.map(results.features, function(feature) {   return {                     "id": feature.attributes[outFields[0]],       "SITENAME": feature.attributes[outFields[1]],       "WATERBODY": feature.attributes[outFields[2]],       "ACCESSAREA": feature.attributes[outFields[3]],       "LOCATION": feature.attributes[outFields[4]]   } });  var data = array.map(results.features, function(feature) {   return {                     "id": feature.attributes["OBJECTID"],       "SITENAME": feature.attributes["SITENAME"],       "WATERBODY": feature.attributes["WATERBODY"],       "ACCESSAREA": feature.attributes["ACCESSAREA"],       "LOCATION": feature.attributes["LOCATION"]   } }); gridNoColumnSets.set("columnSets", columnExample2);