希望这有助于所有版本。

function diffArray(arr1, arr2) {
  var newArr = [];

  var large = arr1.length>=arr2.length?arr1:arr2;
  var small = JSON.stringify(large) == JSON.stringify(arr1)?arr2:arr1;
  for(var i=0;i<large.length;i++){
    var copyExists = false; 
    for(var j =0;j<small.length;j++){
      if(large[i]==small[j]){
        copyExists= true;
        break;
      }
    }
    if(!copyExists)
      {
        newArr.push(large[i]);
      }
  }

  for(var i=0;i<small.length;i++){
    var copyExists = false; 
    for(var j =0;j<large.length;j++){
      if(large[j]==small[i]){
        copyExists= true;
        break;
      }
    }
    if(!copyExists)
      {
        newArr.push(small[i]);
      }
  }


  return newArr;
}

最简单、最快的O(n)和最短的方式:

函数交点(a, b) { const setA = new Set(a); 返回b.filter(value => setA.has(value)); ｝ console.log(十字路口([1,2,3],[2、3、4、5)))

@nbarbosa几乎有相同的答案，但他将两个数组强制转换为Set，然后再转换回数组。不需要任何额外的选角。

.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。

我写了一个相交函数，它甚至可以根据对象的特定属性来检测对象数组的交集。

例如,

if arr1 = [{id: 10}, {id: 20}]
and arr2 =  [{id: 20}, {id: 25}]

我们想要基于id属性的交集，那么输出应该是:

[{id: 20}]

因此，相同(注:ES6代码)的函数为:

const intersect = (arr1, arr2, accessors = [v => v, v => v]) => {
    const [fn1, fn2] = accessors;
    const set = new Set(arr2.map(v => fn2(v)));
    return arr1.filter(value => set.has(fn1(value)));
};

你可以这样调用这个函数:

intersect(arr1, arr2, [elem => elem.id, elem => elem.id])

还要注意:该函数查找交集时考虑到第一个数组是主数组，因此交集结果将是主数组的结果。

如果只使用关联数组呢?

function intersect(a, b) {
    var d1 = {};
    var d2 = {};
    var results = [];
    for (var i = 0; i < a.length; i++) {
        d1[a[i]] = true;
    }
    for (var j = 0; j < b.length; j++) {
        d2[b[j]] = true;
    }
    for (var k in d1) {
        if (d2[k]) 
            results.push(k);
    }
    return results;
}

编辑:

// new version
function intersect(a, b) {
    var d = {};
    var results = [];
    for (var i = 0; i < b.length; i++) {
        d[b[i]] = true;
    }
    for (var j = 0; j < a.length; j++) {
        if (d[a[j]]) 
            results.push(a[j]);
    }
    return results;
}

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);