我需要使用Jquery / Javascript根据某个键值对数组值进行分组，但是根据我的代码，我无法获取它。我在下面解释我的代码。
var dataArr=[
{
"login_id":"9937229853",
"allocated_to":"FIELD",
"zone":"NORTH",
"state":"DELHI",
"location":"NEW DELHI",
"customer_name":"REET INFOTECH",
"bank_name_of_customer":"YES BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "1stcoll",
"reso_status": "1stres"
},
{
"login_id":"9937229853",
"allocated_to":"FIELD",
"zone":"NORTH",
"state":"DELHI",
"location":"NEW DELHI",
"customer_name":"REET",
"bank_name_of_customer":"Corporate BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "2ndcoll",
"reso_status": "2ndres"
},
{
"login_id":"9937229867",
"allocated_to":"FIELD",
"zone":"EAST",
"state":"Odisha",
"location":"Bhubaneswar",
"customer_name":"REET",
"bank_name_of_customer":"PNB BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "3rdcoll",
"reso_status": "3rdres"
},
{
"login_id":"9937229867",
"allocated_to":"FIELD",
"zone":"EAST",
"state":"Assam",
"location":"Gawhati",
"customer_name":"REET",
"bank_name_of_customer":"SBI BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "4thcoll",
"reso_status": "4thres"
}
]
在这里，我需要根据zone,state,location and login_id对所有json数组进行分组。我的工作代码如下。
groups = [
['zone_list', 'zone'],
['state_list', 'state'],
['location_list', 'location'],
['task_list', 'login_id', 'front_end_manager_name', 'area_collection_manager', 'collection_manager'],
['loan_accounts_assigned', 'lk_loan_account_id', 'allocated_to', 'cl_contract_id', 'customer_name', 'customer_bank_name'],
['feedback_detail', 'coll_cat', 'reso_status']
],
finalGroup = 'task_list',
result = dataArr.reduce((r, o) => {
groups.reduce((t, [group, ...keys]) => {
var temp = (t[group] = t[group] || []).find(p => o[keys[0]] === p[keys[0]]);
if (!temp) {
temp = Object.assign({}, ...keys.map(k => ({ [k]: o[k] })));
t[group].push(temp);
}
return temp;
}, r);
return r;
}, {});
console.log(result);
但是我的问题是我可以按区域，州和位置对整个值进行分组，但是根据login_id无法进行分组。我需要按照zone,state,location and login_id进行分组。请帮助我解决此问题。
有效代码段：
var dataArr=[{"login_id":"9937229853","allocated_to":"FIELD","zone":"NORTH","state":"DELHI","location":"NEW DELHI","customer_name":"REET INFOTECH","bank_name_of_customer":"YES BANK","cl_contract_id":"LAI-00016881","lk_loan_account_id":"LK0000015094","front_end_manager_name":"SONAL","area_collection_manager":"ASHIS JENA","installment_date":"","collection_manager":"","coll_cat":"1stcoll","reso_status":"1stres"},{"login_id":"9937229853","allocated_to":"FIELD","zone":"NORTH","state":"DELHI","location":"NEW DELHI","customer_name":"REET","bank_name_of_customer":"Corporate BANK","cl_contract_id":"LAI-00016881","lk_loan_account_id":"LK0000015094","front_end_manager_name":"SONAL","area_collection_manager":"ASHIS JENA","installment_date":"","collection_manager":"","coll_cat":"2ndcoll","reso_status":"2ndres"},{"login_id":"9937229867","allocated_to":"FIELD","zone":"EAST","state":"Odisha","location":"Bhubaneswar","customer_name":"REET","bank_name_of_customer":"PNB BANK","cl_contract_id":"LAI-00016881","lk_loan_account_id":"LK0000015094","front_end_manager_name":"SONAL","area_collection_manager":"ASHIS JENA","installment_date":"","collection_manager":"","coll_cat":"3rdcoll","reso_status":"3rdres"},{"login_id":"9937229867","allocated_to":"FIELD","zone":"EAST","state":"Assam","location":"Gawhati","customer_name":"REET","bank_name_of_customer":"SBI BANK","cl_contract_id":"LAI-00016881","lk_loan_account_id":"LK0000015094","front_end_manager_name":"SONAL","area_collection_manager":"ASHIS JENA","installment_date":"","collection_manager":"","coll_cat":"4thcoll","reso_status":"4thres"}],
groups=[['zone_list','zone'],['state_list','state'],['location_list','location'],['task_list','login_id','front_end_manager_name','area_collection_manager','collection_manager'],['loan_accounts_assigned','lk_loan_account_id','allocated_to','cl_contract_id','customer_name','customer_bank_name'],['feedback_detail','coll_cat','reso_status']],
finalGroup = 'task_list',
result = dataArr.reduce((r, o) => {
groups.reduce((t, [group, ...keys]) => {
var temp = (t[group] = t[group] || []).find(p => o[keys[0]] === p[keys[0]]);
if (!temp) {
temp = Object.assign({}, ...keys.map(k => ({ [k]: o[k] })));
t[group].push(temp);
}
return temp;
}, r);
return r;
}, {});
console.log(result);
答案 0 :(得分：1)
我在您的数据中看到，您确实在输入中两次出现相同的login_id，并且这些记录之间的差异（与其他记录相比）在customer_name字段中。
您在customer_name结构中列出了该字段groups，但是代码没有使用它来区分记录。我想代码最初不是为此目的而设计的，并且假定该字段在功能上将取决于列表中的第一个键（即，假定相同的lk_loan_account_id意味着相同的customer_name），但这显然不是您的数据。
从业务角度来看，借贷帐户ID可以唯一标识客户名称似乎是合乎逻辑的，因此也许您还应该检查输入数据的有效性。
但是，如果输入数据符合预期，并且应该在groups结构中列出的所有字段上进行区分，则替换下面的代码行：
var temp = (t[group] = t[group] || []).find(p => o[keys[0]] === p[keys[0]]);
具有：
var temp = (t[group] = t[group] || []).find(p => keys.every(key => o[key] === p[key]));
进行此更改后，结果仍将为该重复的login_id具有一个分组项，但对于loan_accounts_assigned数组属性，它将具有两个嵌套条目，而不仅仅是一个。
旁注：groups结构中的字段名称错误：customer_bank_name应该为bank_name_of_customer。
var dataArr=[
{
"login_id":"9937229853",
"allocated_to":"FIELD",
"zone":"NORTH",
"state":"DELHI",
"location":"NEW DELHI",
"customer_name":"REET INFOTECH",
"bank_name_of_customer":"YES BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "1stcoll",
"reso_status": "1stres"
},
{
"login_id":"9937229853",
"allocated_to":"FIELD",
"zone":"NORTH",
"state":"DELHI",
"location":"NEW DELHI",
"customer_name":"REET",
"bank_name_of_customer":"Corporate BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "2ndcoll",
"reso_status": "2ndres"
},
{
"login_id":"9937229867",
"allocated_to":"FIELD",
"zone":"EAST",
"state":"Odisha",
"location":"Bhubaneswar",
"customer_name":"REET",
"bank_name_of_customer":"PNB BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "3rdcoll",
"reso_status": "3rdres"
},
{
"login_id":"9937229867",
"allocated_to":"FIELD",
"zone":"EAST",
"state":"Assam",
"location":"Gawhati",
"customer_name":"REET",
"bank_name_of_customer":"SBI BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "4thcoll",
"reso_status": "4thres"
}
]
var groups = [
['zone_list', 'zone'],
['state_list', 'state'],
['location_list', 'location'],
['task_list', 'login_id', 'front_end_manager_name', 'area_collection_manager', 'collection_manager'],
['loan_accounts_assigned', 'lk_loan_account_id', 'allocated_to', 'cl_contract_id', 'customer_name', 'bank_name_of_customer'],
['feedback_detail', 'coll_cat', 'reso_status']
],
finalGroup = 'task_list',
result = dataArr.reduce((r, o) => {
groups.reduce((t, [group, ...keys]) => {
var temp = (t[group] = t[group] || []).find(p => keys.every(key => o[key] === p[key]));
if (!temp) {
temp = Object.assign({}, ...keys.map(k => ({ [k]: o[k] })));
t[group].push(temp);
}
return temp;
}, r);
return r;
}, {});
console.log(result);
答案 1 :(得分：0)
如果您必须使用Easy方法基于JSON数组中的特定键进行分组，那么我建议使用Javascript实用程序库下划线js或Lo-dash js 。请参见下面的示例，该示例可能会通过可读代码解决您的问题。
_.groupBy(dataArr,"login_id");
_.groupBy(dataArr,"state");
_.groupBy(dataArr,"zone");
var dataArr=[
{
"login_id":"9937229853",
"allocated_to":"FIELD",
"zone":"NORTH",
"state":"DELHI",
"location":"NEW DELHI",
"customer_name":"REET INFOTECH",
"bank_name_of_customer":"YES BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "1stcoll",
"reso_status": "1stres"
},
{
"login_id":"9937229853",
"allocated_to":"FIELD",
"zone":"NORTH",
"state":"DELHI",
"location":"NEW DELHI",
"customer_name":"REET",
"bank_name_of_customer":"Corporate BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "2ndcoll",
"reso_status": "2ndres"
},
{
"login_id":"9937229867",
"allocated_to":"FIELD",
"zone":"EAST",
"state":"Odisha",
"location":"Bhubaneswar",
"customer_name":"REET",
"bank_name_of_customer":"PNB BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "3rdcoll",
"reso_status": "3rdres"
},
{
"login_id":"9937229867",
"allocated_to":"FIELD",
"zone":"EAST",
"state":"Assam",
"location":"Gawhati",
"customer_name":"REET",
"bank_name_of_customer":"SBI BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "4thcoll",
"reso_status": "4thres"
}
];
//usage _.groupBy(jsonArrayOfObjects,"key");
var groupByLoginId=_.groupBy(dataArr,"login_id");
console.log(groupByLoginId);
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.min.js"></script>
答案 2 :(得分：0)
这是一个简单的groupBy函数：
var dataArr=[
{
"login_id":"9937229853",
"allocated_to":"FIELD",
"zone":"NORTH",
"state":"DELHI",
"location":"NEW DELHI",
"customer_name":"REET INFOTECH",
"bank_name_of_customer":"YES BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "1stcoll",
"reso_status": "1stres"
},
{
"login_id":"9937229853",
"allocated_to":"FIELD",
"zone":"NORTH",
"state":"DELHI",
"location":"NEW DELHI",
"customer_name":"REET",
"bank_name_of_customer":"Corporate BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "2ndcoll",
"reso_status": "2ndres"
},
{
"login_id":"9937229867",
"allocated_to":"FIELD",
"zone":"EAST",
"state":"Odisha",
"location":"Bhubaneswar",
"customer_name":"REET",
"bank_name_of_customer":"PNB BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "3rdcoll",
"reso_status": "3rdres"
},
{
"login_id":"9937229867",
"allocated_to":"FIELD",
"zone":"EAST",
"state":"Assam",
"location":"Gawhati",
"customer_name":"REET",
"bank_name_of_customer":"SBI BANK",
"cl_contract_id":"LAI-00016881",
"lk_loan_account_id":"LK0000015094",
"front_end_manager_name":"SONAL",
"area_collection_manager":"ASHIS JENA",
"installment_date":"",
"collection_manager":"",
"coll_cat": "4thcoll",
"reso_status": "4thres"
}
];
function groupBy(fields,data){
var groups={};
data.forEach(function(dataItem){
var key=fields.reduce(function(result,fieldName){
return (result && result+'&' || '')+fieldName+':'+(dataItem[fieldName])||'NULL';
},'');
if(!(key in groups))
groups[key]=[];
groups[key].push(dataItem);
});
return groups;
}
console.log(groupBy(['zone','state'],dataArr));