使用ES6的简单解决方案：

该方法有一个返回模型，可以比较n个财产。

const compareKey = (item, key, compareItem) => {
    return item[key] === compareItem[key]
}

const handleCountingRelatedItems = (listItems, modelCallback, compareKeyCallback) => {
    return listItems.reduce((previousValue, currentValue) => {
        if (Array.isArray(previousValue)) {
        const foundIndex = previousValue.findIndex(item => compareKeyCallback(item, currentValue))

        if (foundIndex > -1) {
            const count = previousValue[foundIndex].count + 1

            previousValue[foundIndex] = modelCallback(currentValue, count)

            return previousValue
        }

        return [...previousValue, modelCallback(currentValue, 1)]
        }

        if (compareKeyCallback(previousValue, currentValue)) {
        return [modelCallback(currentValue, 2)]
        }

        return [modelCallback(previousValue, 1), modelCallback(currentValue, 1)]
    })
}

const itemList = [
    { type: 'production', human_readable: 'Production' },
    { type: 'test', human_readable: 'Testing' },
    { type: 'production', human_readable: 'Production' }
]

const model = (currentParam, count) => ({
    label: currentParam.human_readable,
    type: currentParam.type,
    count
})

const compareParameter = (item, compareValue) => {
    const isTypeEqual = compareKey(item, 'type', compareValue)
    return isTypeEqual
}

const result = handleCountingRelatedItems(itemList, model, compareParameter)

 console.log('Result: \n', result)
/** Result: 
    [
        { label: 'Production', type: 'production', count: 2 },
        { label: 'Testing', type: 'testing', count: 1 }
    ]
*/

如果希望避免使用外部库，可以简洁地实现groupBy（）的普通版本，如下所示：

var groupBy=函数（xs，key）{返回xs.reduce（函数（rv，x）{（rv[x[key]]=rv[x[键]]| |[]）.push（x）；返回rv；}, {});};console.log（groupBy（['one'，'two'，'three']，'length'））；//=>｛“3”：[“1”，“2”]，“5”：[”3“]｝

您可以使用Alasql JavaScript库来实现：

var data = [ { Phase: "Phase 1", Step: "Step 1", Task: "Task 1", Value: "5" },
             { Phase: "Phase 1", Step: "Step 1", Task: "Task 2", Value: "10" }];

var res = alasql('SELECT Phase, Step, SUM(CAST([Value] AS INT)) AS [Value] \
                  FROM ? GROUP BY Phase, Step',[data]);

在jsFiddle尝试这个示例。

BTW：在大型阵列（100000条记录及以上）上，Alasql比Linq更快。参见jsPref中的测试。

评论：

这里我将Value放在方括号中，因为Value是SQL中的关键字我必须使用CAST（）函数将字符串值转换为数字类型。

具有排序功能

export const groupBy = function groupByArray(xs, key, sortKey) {
      return xs.reduce(function(rv, x) {
        let v = key instanceof Function ? key(x) : x[key];
        let el = rv.find(r => r && r.key === v);

        if (el) {
          el.values.push(x);
          el.values.sort(function(a, b) {
            return a[sortKey].toLowerCase().localeCompare(b[sortKey].toLowerCase());
          });
        } else {
          rv.push({ key: v, values: [x] });
        }

        return rv;
      }, []);
    };

示例：

var state = [
    {
      name: "Arkansas",
      population: "2.978M",
      flag:
  "https://upload.wikimedia.org/wikipedia/commons/9/9d/Flag_of_Arkansas.svg",
      category: "city"
    },{
      name: "Crkansas",
      population: "2.978M",
      flag:
        "https://upload.wikimedia.org/wikipedia/commons/9/9d/Flag_of_Arkansas.svg",
      category: "city"
    },
    {
      name: "Balifornia",
      population: "39.14M",
      flag:
        "https://upload.wikimedia.org/wikipedia/commons/0/01/Flag_of_California.svg",
      category: "city"
    },
    {
      name: "Florida",
      population: "20.27M",
      flag:
        "https://upload.wikimedia.org/wikipedia/commons/f/f7/Flag_of_Florida.svg",
      category: "airport"
    },
    {
      name: "Texas",
      population: "27.47M",
      flag:
        "https://upload.wikimedia.org/wikipedia/commons/f/f7/Flag_of_Texas.svg",
      category: "landmark"
    }
  ];
console.log(JSON.stringify(groupBy(state,'category','name')));

我会检查一下lodash组，它似乎正是你想要的。它也很轻，非常简单。

Fiddle示例：https://jsfiddle.net/r7szvt5k/

如果数组名称为arr，则带有lodash的groupBy仅为：

import groupBy from 'lodash/groupBy';
// if you still use require:
// const groupBy = require('lodash/groupBy');

const a = groupBy(arr, function(n) {
  return n.Phase;
});
// a is your array grouped by Phase attribute

基于@Ceasar Bautista的原始想法，我修改了代码并使用typescript创建了一个groupBy函数。

static groupBy(data: any[], comparator: (v1: any, v2: any) => boolean, onDublicate: (uniqueRow: any, dublicateRow: any) => void) {
    return data.reduce(function (reducedRows, currentlyReducedRow) {
      let processedRow = reducedRows.find(searchedRow => comparator(searchedRow, currentlyReducedRow));

      if (processedRow) {
        // currentlyReducedRow is a dublicateRow when processedRow is not null.
        onDublicate(processedRow, currentlyReducedRow)
      } else {
        // currentlyReducedRow is unique and must be pushed in the reducedRows collection.
        reducedRows.push(currentlyReducedRow);
      }

      return reducedRows;
    }, []);
  };

此函数接受一个回调（比较器）和一个第二个回调（onDuplicate），该回调比较行并查找副本。

用法示例：

data = [
    { name: 'a', value: 10 },
    { name: 'a', value: 11 },
    { name: 'a', value: 12 },
    { name: 'b', value: 20 },
    { name: 'b', value: 1 }
  ]

  private static demoComparator = (v1: any, v2: any) => {
    return v1['name'] === v2['name'];
  }

  private static demoOnDublicate = (uniqueRow, dublicateRow) => {
    uniqueRow['value'] += dublicateRow['value'];    
  };

使命感

groupBy(data, demoComparator, demoOnDublicate) 

将执行计算值和的分组。

{name: "a", value: 33}
{name: "b", value: 21}

我们可以根据项目的需要创建任意多个回调函数，并根据需要聚合这些值。在一个例子中，我需要合并两个数组，而不是求和数据。