Jquery Validate根据其他元素的事件来触发单个元素的异步校验
场景:在做一个车辆信息管理模块,而车牌是通过车牌颜色和车牌号码来确定唯一性的,录入车牌信息时需对车牌进行唯一性校验。
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" alt="" width="798" height="385" />
对车牌号的异步校验规则
rules:{
plateNumber:{
remote:{
url:'${ctx}/bu/vehicleInfo/checkPlateNumUniqueness',
data:{
plateNumber:function(){
return $("#plateNumber").val();
},
plateColor:function(){
return $("#plateColor").val();
}
}
}
}
},
messages:{
plateNumber:{
remote:'已存在相同车牌号码'
}
}
车牌颜色变动的时候通过触发车牌号码的校验规则来对唯一性进行校验
$("#plateColor").change(function() {
//由于是根据车牌号码和车牌颜色来判断车牌号唯一性的,故车牌颜色改变时也应该校验车牌号唯一性
$("#plateNumber").removeData('previousValue');
var plateNum = $("#plateNumber").val();
if (plateNum != '') {
$("#plateNumber").removeData('previousValue');
validator.element($("#plateNumber"));
}
});
这里遇到了一个问题,就是车牌颜色变动过一次触发了唯一性校验之后,再去变动车牌颜色就无法再次触发唯一性校验了,
后来在这里找到了答案(http://stackoverflow.com/questions/2710548/how-do-i-use-jquery-validate-remote-validation-on-a-field-that-depends-on-anothe)
原因是触发了一次之后会有缓存,需要调用这removeData方法先把缓存清理掉才能再次触发。
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