根据匹配的ID合并两个数组中的项目

时间:2019-04-16 12:50:27

标签: javascript arrays node.js sorting left-join

我有一个像这样的数据对象:

{
  "data1": [
    [
      "ID",
      "name",
      "Birthday"
    ],
    [
      "10",
      "thomas",
      "1992-03-17"
    ],
    [
      "11",
      "Emily",
      "2000-03-03"
    ]
  ],
  "data2": [
    [
      "Balance",
      "ID"
    ],
    [
      "$4500",
      "10"
    ],
    [
      "$1500",
      "13"
    ]
  ]
}

它包含两个数组data1data2。 每个数组的第一行是列的名称,其余行具有数据(像表一样考虑数据)。

我想比较两个数组中的ID字段,如果ID匹配,则最终输出将包含一列Balance,其余额与该{{1} },如果ID不匹配,则ID将是Balance

预期输出:

$0

我发现要完成这个挑战。可以将其视为MySQL中的LEFT-JOIN。 我提到了此solution,但由于我没有响应中的键,因此在我的情况下不起作用。

编辑:我还需要加入其他字段。

4 个答案:

答案 0 :(得分:2)

您可以使用Array.prototype.map()findfilterslicereduceconcatincludes和{{ 3}}。

此解决方案:

  • 处理项目的任意排序。该顺序是从标题中读取的。
  • 仅当Balance中存在一个字段时,才附加一个data2字段。
  • 加入所有其他字段(OP要求,请参见下面的注释)
  • 将默认值用作输入,如果data1data2中没有数据,则使用默认值。

function merge({ data1, data2 }, defaults) {
  // get the final headers, add/move 'Balance' to the end
  const headers = [...data1[0].filter(x => x !== 'Balance')]
    .concat(data2[0].includes('Balance') ? ['Balance'] : []);
  
  // map the data from data1 to an array of objects, each key is the header name, also merge the default values.
  const d1 = data1.slice(1)
    .map(x => x.reduce((acc, y, i) => ({ ...defaults, ...acc, [data1[0][i]]: y }), {}));
  // map the data from data2 to an array of objects, each key is the header name
  const d2 = data2.slice(1)
    .map(x => x.reduce((acc, y, i) => ({ ...acc, [data2[0][i]]: y }), {}));
  
  // combine d1 and d2
  const output = d1.map((x, i) => { // iterate over d1
    // merge values from d2 into this value
    const d = Object.assign(x, d2.find(y => y['ID'] === x['ID']));
    // return an array ordered according to the header
    return headers.map(h => d[h]);
  });
  return { output: [headers, ...output] };
}

const test0 = {
  data1: [[ "ID","name","Birthday","other"],["10","thomas","1992-03-17","empty"],["11","Emily","2000-03-03","empty"]],
  data2: [["other", "ID", "Balance", "city"],["hello", "10", "$4500", "New York"],["world", "10","$8","Brazil"]]
};

const test1 = {
  data1: [["ID","name","Birthday"],["10","thomas","1992-03-17"],["11","Emily","2000-03-03"]],
  data2: [["other","ID"],["x","10"],["y","11"]]
};

console.log(merge(test0, { Balance: '$0' }));
console.log(merge(test1, { Balance: '$0' }));

答案 1 :(得分:1)

const KEY_ID = "ID";

var data = {
  "data1": [
    [ "ID", "name", "Birthday" ],
    [ "10", "thomas", "1992-03-17" ],
    [ "11", "Emily", "2000-03-03" ]
  ],
  "data2": [
    [ "Balance", "ID" ],
    [ "$4500", "10" ],
    [ "$1500", "13" ]
  ]
}

var merged = Object.keys(data).map(function (key) {
  var tmp = data[key].slice();
  var heads = tmp.shift();
  return tmp.map(function (item) {
    var row = {};
    heads.forEach(function (head, i) {
      row[head] = item[i];
    });
    return row;
  });
}).flat().reduce(function (acc, row) {
  var found = acc.find(function (item) {
    return row[KEY_ID] === item[KEY_ID];
  })
  if (!found) {
    found = row;
    acc.push(found);
  } else {
    Object.keys(row).forEach(function (head) {
      found[head] = row[head];
    });
  }
  return acc;
}, []);

console.log(merged);

此解决方案具有可伸缩性:如果添加属性,它将缩放新格式。

答案 2 :(得分:0)

您可以将所有表操作抽象为类:

 function Table(array) {
   const [head, ...values] = array;

  const Entry =(entry) => ({
   get(key) { return entry[ head.indexOf(key) ]; },
   set(key, value) { entry[ head.indexOf(key) ] = value; }
  });

  return {
    index(name) {       
      const result = {};
      for(const value of values)
        result[ value[ head.indexOf(name) ] ] = Entry(value);

      return result;
    },
    *[Symbol.iterator]() {
      for(const row of values)
         yield Entry(row);
     },

      addRow(key) { head.push(key); }
   };
 }

可用作:

 const users = Table(obj.data1);
 const balances = Table(obj.data2);

 const balanceByID = balance.index("ID");

 users.addRow("Balance");

 for(const user of users)
   user.set("Balance", balanceByID[ user.get("ID") ].get("Balance"));

答案 3 :(得分:0)

let a = { "data1": [ ... ],"data2": [ ...] }
let r = a.data1.reduce((r,u,i)=>{
  if(i !== 0)
  {
    let entry = a.data2.filter((a)=> a[1]===u[0])
    r.push([...u,entry.length ? entry[0][0] : 0])
  }
   return r
},[[
      "ID",
      "name",
      "Birthday",
      "Balance"
]])