通过使用.pop而不是.shift可以提高@atk实现对原语排序数组的性能。

function intersect(array1, array2) {
   var result = [];
   // Don't destroy the original arrays
   var a = array1.slice(0);
   var b = array2.slice(0);
   var aLast = a.length - 1;
   var bLast = b.length - 1;
   while (aLast >= 0 && bLast >= 0) {
      if (a[aLast] > b[bLast] ) {
         a.pop();
         aLast--;
      } else if (a[aLast] < b[bLast] ){
         b.pop();
         bLast--;
      } else /* they're equal */ {
         result.push(a.pop());
         b.pop();
         aLast--;
         bLast--;
      }
   }
   return result;
}

我使用jsPerf创建了一个基准测试。使用。pop要快三倍。

//在线性时间内返回数组a中也在b中的元素: 函数相交(a, b) { 返回a.filter (Set.prototype。new Set(b)); ｝ / /例如: console.log(相交([1,2,3],[2、3、4、5]));

我推荐上述简洁的解决方案，它在大输入上优于其他实现。如果在小输入上的性能很重要，请检查下面的替代方案。

备选方案和性能比较:

有关替代实现，请参阅下面的代码片段，并检查https://jsperf.com/array-intersection-comparison以进行性能比较。

function intersect_for(a, b) { const result = []; const alen = a.length; const blen = b.length; for (let i = 0; i < alen; ++i) { const ai = a[i]; for (let j = 0; j < blen; ++j) { if (ai === b[j]) { result.push(ai); break; } } } return result; } function intersect_filter_indexOf(a, b) { return a.filter(el => b.indexOf(el) !== -1); } function intersect_filter_in(a, b) { const map = b.reduce((map, el) => {map[el] = true; return map}, {}); return a.filter(el => el in map); } function intersect_for_in(a, b) { const result = []; const map = {}; for (let i = 0, length = b.length; i < length; ++i) { map[b[i]] = true; } for (let i = 0, length = a.length; i < length; ++i) { if (a[i] in map) result.push(a[i]); } return result; } function intersect_filter_includes(a, b) { return a.filter(el => b.includes(el)); } function intersect_filter_has_this(a, b) { return a.filter(Set.prototype.has, new Set(b)); } function intersect_filter_has_arrow(a, b) { const set = new Set(b); return a.filter(el => set.has(el)); } function intersect_for_has(a, b) { const result = []; const set = new Set(b); for (let i = 0, length = a.length; i < length; ++i) { if (set.has(a[i])) result.push(a[i]); } return result; }

Firefox 53的结果:

Ops/sec on large arrays (10,000 elements): filter + has (this) 523 (this answer) for + has 482 for-loop + in 279 filter + in 242 for-loops 24 filter + includes 14 filter + indexOf 10 Ops/sec on small arrays (100 elements): for-loop + in 384,426 filter + in 192,066 for-loops 159,137 filter + includes 104,068 filter + indexOf 71,598 filter + has (this) 43,531 (this answer) filter + has (arrow function) 35,588

.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。

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) );

下面是一个使用可选的比较函数处理多个数组的简单实现:

函数交叉(数组，compareFn = (val1, val2) => (val1 == val2)) { 如果数组。长度< 2)返回数组[0]?［］ Const array1 = arrays[0] const array2 =交集(arrays.slice(1)， compareFn) array1返回。过滤器(val1 =>数组2。if (val2 => compareFn(val1, val2))) ｝ console.log(十字路口([[1,2,3],[2、3、4、5]])) console.log(十字路口([[{id: 1}, {id: 2}], [{id: 1}, {id: 3}]], (val1, val2) => val1。Id === val2.id)

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。