简单性:

// Usage
const intersection = allLists
  .reduce(intersect, allValues)
  .reduce(removeDuplicates, []);


// Implementation
const intersect = (intersection, list) =>
  intersection.filter(item =>
    list.some(x => x === item));

const removeDuplicates = (uniques, item) =>
  uniques.includes(item) ? uniques : uniques.concat(item);


// Example Data
const somePeople = [bob, doug, jill];
const otherPeople = [sarah, bob, jill];
const morePeople = [jack, jill];

const allPeople = [...somePeople, ...otherPeople, ...morePeople];
const allGroups = [somePeople, otherPeople, morePeople];

// Example Usage
const intersection = allGroups
  .reduce(intersect, allPeople)
  .reduce(removeDuplicates, []);

intersection; // [jill]

好处:

泥土简单 以数据为中心的 适用于任意数量的列表 适用于任意长度的列表 适用于任意类型的值 适用于任意排序顺序 保留形状(在任何数组中首次出现的顺序) 尽可能早退出 内存安全，不影响函数/数组原型

缺点:

内存占用率较高 更高的CPU使用率 需要理解reduce 需要理解数据流

你不希望将其用于3D引擎或内核工作，但如果你在基于事件的应用程序中运行时遇到问题，那么你的设计就有更大的问题。

通过对数据的一些限制，您可以在线性时间内完成!

对于正整数:使用一个数组将值映射到“已见/未见”布尔值。

function intersectIntegers(array1,array2) { 
   var seen=[],
       result=[];
   for (var i = 0; i < array1.length; i++) {
     seen[array1[i]] = true;
   }
   for (var i = 0; i < array2.length; i++) {
     if ( seen[array2[i]])
        result.push(array2[i]);
   }
   return result;
}

对于对象也有类似的技术:取一个虚拟键，为array1中的每个元素设置为“true”，然后在array2的元素中寻找这个键。完事后收拾一下。

function intersectObjects(array1,array2) { 
   var result=[];
   var key="tmpKey_intersect"
   for (var i = 0; i < array1.length; i++) {
     array1[i][key] = true;
   }
   for (var i = 0; i < array2.length; i++) {
     if (array2[i][key])
        result.push(array2[i]);
   }
   for (var i = 0; i < array1.length; i++) {
     delete array1[i][key];
   }
   return result;
}

当然，你需要确保这个键之前没有出现过，否则你会破坏你的数据…

ES2015的函数式方法

函数式方法必须考虑只使用没有副作用的纯函数，每个函数只与单个作业有关。

这些限制增强了所涉及函数的可组合性和可重用性。

//小的，可重用的辅助函数 const createSet = xs => new Set(xs); Const filter = f => xs => xs.filter(apply(f)); Const apply = f => x => f(x); / /十字路口 Const相交= xs => ys => { const zs =创建集(ys); 返回过滤器(x => zs.has(x)) ？ 真正的 :假 ) (x); }; //模拟数据 Const xs = [1,2,2,3,4,5]; Const ys = [0,1,2,3,3,3,6,7,8,9]; //运行 Console.log (intersect(xs) (ys));

请注意，使用本机Set类型，这有一个优点 查找性能。

避免重复

显然，第一个数组中重复出现的项将被保留，而第二个数组将被去重。这可能是也可能不是理想的行为。如果你需要一个唯一的结果，只需对第一个参数应用重复数据删除:

// auxiliary functions const apply = f => x => f(x); const comp = f => g => x => f(g(x)); const afrom = apply(Array.from); const createSet = xs => new Set(xs); const filter = f => xs => xs.filter(apply(f)); // intersection const intersect = xs => ys => { const zs = createSet(ys); return filter(x => zs.has(x) ? true : false ) (xs); }; // de-duplication const dedupe = comp(afrom) (createSet); // mock data const xs = [1,2,2,3,4,5]; const ys = [0,1,2,3,3,3,6,7,8,9]; // unique result console.log( intersect(dedupe(xs)) (ys) );

计算任意数量数组的交集

如果你想计算任意数量的数组的交点，只需用compose intersect和foldl。这是一个方便函数:

// auxiliary functions const apply = f => x => f(x); const uncurry = f => (x, y) => f(x) (y); const createSet = xs => new Set(xs); const filter = f => xs => xs.filter(apply(f)); const foldl = f => acc => xs => xs.reduce(uncurry(f), acc); // intersection const intersect = xs => ys => { const zs = createSet(ys); return filter(x => zs.has(x) ? true : false ) (xs); }; // intersection of an arbitrarily number of Arrays const intersectn = (head, ...tail) => foldl(intersect) (head) (tail); // mock data const xs = [1,2,2,3,4,5]; const ys = [0,1,2,3,3,3,6,7,8,9]; const zs = [0,1,2,3,4,5,6]; // run console.log( intersectn(xs, ys, zs) );

.reduce生成地图，.filter找到交叉路口。.filter中的Delete允许我们将第二个数组视为唯一的集合。

function intersection (a, b) {
  var seen = a.reduce(function (h, k) {
    h[k] = true;
    return h;
  }, {});

  return b.filter(function (k) {
    var exists = seen[k];
    delete seen[k];
    return exists;
  });
}

我发现这种方法很容易解释。它在常数时间内运行。

使用Array.prototype.filter和Array.prototype.includes的组合:

const filteredArray = array1.filter(value => array2.includes(value));

对于较旧的浏览器，使用Array.prototype.indexOf且不使用箭头函数:

var filteredArray = array1.filter(function(n) {
    return array2.indexOf(n) !== -1;
});

NB !.includes和. indexof都在内部使用===来比较数组中的元素，所以如果数组包含对象，它只比较对象引用(而不是对象的内容)。如果你想指定自己的比较逻辑，请使用Array.prototype.some。

与效率无关，但很容易理解，这里有一个集合的并和交的例子，它处理集合的数组和集合的集合。

http://jsfiddle.net/zhulien/NF68T/

// process array [element, element...], if allow abort ignore the result
function processArray(arr_a, cb_a, blnAllowAbort_a)
{
    var arrResult = [];
    var blnAborted = false;
    var intI = 0;

    while ((intI < arr_a.length) && (blnAborted === false))
    {
        if (blnAllowAbort_a)
        {
            blnAborted = cb_a(arr_a[intI]);
        }
        else
        {
            arrResult[intI] = cb_a(arr_a[intI]);
        }
        intI++;
    }

    return arrResult;
}

// process array of operations [operation,arguments...]
function processOperations(arrOperations_a)
{
    var arrResult = [];
    var fnOperationE;

    for(var intI = 0, intR = 0; intI < arrOperations_a.length; intI+=2, intR++) 
    {
        var fnOperation = arrOperations_a[intI+0];
        var fnArgs = arrOperations_a[intI+1];
        if (fnArgs === undefined)
        {
            arrResult[intR] = fnOperation();
        }
        else
        {
            arrResult[intR] = fnOperation(fnArgs);
        }
    }

    return arrResult;
}

// return whether an element exists in an array
function find(arr_a, varElement_a)
{
    var blnResult = false;

    processArray(arr_a, function(varToMatch_a)
    {
        var blnAbort = false;

        if (varToMatch_a === varElement_a)
        {
            blnResult = true;
            blnAbort = true;
        }

        return blnAbort;
    }, true);

    return blnResult;
}

// return the union of all sets
function union(arr_a)
{
    var arrResult = [];
    var intI = 0;

    processArray(arr_a, function(arrSet_a)
    {
        processArray(arrSet_a, function(varElement_a)
        {
            // if the element doesn't exist in our result
            if (find(arrResult, varElement_a) === false)
            {
                // add it
                arrResult[intI] = varElement_a;
                intI++;
            }
        });
    });

    return arrResult;
}

// return the intersection of all sets
function intersection(arr_a)
{
    var arrResult = [];
    var intI = 0;

    // for each set
    processArray(arr_a, function(arrSet_a)
    {
        // every number is a candidate
        processArray(arrSet_a, function(varCandidate_a)
        {
            var blnCandidate = true;

            // for each set
            processArray(arr_a, function(arrSet_a)
            {
                // check that the candidate exists
                var blnFoundPart = find(arrSet_a, varCandidate_a);

                // if the candidate does not exist
                if (blnFoundPart === false)
                {
                    // no longer a candidate
                    blnCandidate = false;
                }
            });

            if (blnCandidate)
            {
                // if the candidate doesn't exist in our result
                if (find(arrResult, varCandidate_a) === false)
                {
                    // add it
                    arrResult[intI] = varCandidate_a;
                    intI++;
                }
            }
        });
    });

    return arrResult;
}

var strOutput = ''

var arrSet1 = [1,2,3];
var arrSet2 = [2,5,6];
var arrSet3 = [7,8,9,2];

// return the union of the sets
strOutput = union([arrSet1, arrSet2, arrSet3]);
alert(strOutput);

// return the intersection of 3 sets
strOutput = intersection([arrSet1, arrSet2, arrSet3]);
alert(strOutput);

// of 3 sets of sets, which set is the intersecting set
strOutput = processOperations([intersection,[[arrSet1, arrSet2], [arrSet2], [arrSet2, arrSet3]]]);
alert(strOutput);