我有一个类似于SQL Group By的ES6代码。
在这里,将具有相同material_no的项目分组,并求和。
let data = [
{ material_no: '1001', material_name: 'Material 1', qty: 100, date: 'jan' },
{ material_no: '1001', material_name: 'Material 1', qty: 50, date: 'feb' },
{ material_no: '1002', material_name: 'Material 2', qty: 44, date: 'mar' },
{ material_no: '1003', material_name: 'Material 3', qty: 125, date: 'apr' },
{ material_no: '1002', material_name: 'Material 2', qty: 59, date: 'mar' },
{ material_no: '1004', material_name: 'Material 4', qty: 999, date: 'may' },
{ material_no: '1005', material_name: 'Material 5', qty: 80, date: 'jun' },
{ material_no: '1005', material_name: 'Material 5', qty: 66, date: 'jun' }
]
const sums = [
...data.reduce(
(map, item) => {
const { material_no: key, qty } = item;
const prev = map.get(key);
if(prev) {
prev.qty += qty
} else {
map.set(key, Object.assign({}, item))
}
return map
},
new Map()
).values()
]
console.log(sums)
应该将“日期”添加到分组依据逻辑中,
我似乎无法弄清楚该怎么办,因为代码仅在map.get(key)
中使用material_no作为键进行比较。如何同时使用material_no和date。
答案 0 :(得分:1)
您可以使用字符串键,该字符串键是material_no
和date
的串联。
const { material_no, date, qty } = item;
const key = `${material_no}:${date}`;
答案 1 :(得分:0)
let data = [
{ material_no: '1001', material_name: 'Material 1', qty: 100, date: 'jan' },
{ material_no: '1001', material_name: 'Material 1', qty: 50, date: 'feb' },
{ material_no: '1002', material_name: 'Material 2', qty: 44, date: 'mar' },
{ material_no: '1003', material_name: 'Material 3', qty: 125, date: 'apr' },
{ material_no: '1002', material_name: 'Material 2', qty: 59, date: 'mar' },
{ material_no: '1004', material_name: 'Material 4', qty: 999, date: 'may' },
{ material_no: '1005', material_name: 'Material 5', qty: 80, date: 'jun' },
{ material_no: '1005', material_name: 'Material 5', qty: 66, date: 'jun' }
];
var map = {};
data.filter(function(item) {
if(map[item.material_no + "__" + item.date]) {
map[item.material_no + "__" + item.date]["qty"] += item.qty;
} else {
map[item.material_no + "__" + item.date] = {
material_name: item.material_name,
qty: item.qty,
material_no: item.material_no,
date: item.date
};
}
});
console.log(Object.values(map));