我认为在内部使用一个对象可以帮助计算，也可以提高性能。

//方法维护每个元素的计数，也适用于负元素

function intersect(a,b){
    
    const A = {};
    a.forEach((v)=>{A[v] ? ++A[v] : A[v] = 1});
    const B = {};
    b.forEach((v)=>{B[v] ? ++B[v] : B[v] = 1});
    const C = {};
    Object.entries(A).map((x)=>C[x[0]] = Math.min(x[1],B[x[0]]))
    return Object.entries(C).map((x)=>Array(x[1]).fill(Number(x[0]))).flat();
}
const x = [1,1,-1,-1,0,0,2,2];
const y = [2,0,1,1,1,1,0,-1,-1,-1];
const result = intersect(x,y);
console.log(result);  // (7) [0, 0, 1, 1, 2, -1, -1]

function intersectionOfArrays(arr1, arr2) {
    return arr1.filter((element) => arr2.indexOf(element) !== -1).filter((element, pos, self) => self.indexOf(element) == pos);
}

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。

这是一个提议的标准:对于当前阶段2的提议https://github.com/tc39/proposal-set-methods，您可以使用

mySet.intersection(mySet2);

在此之前，你可以使用Immutable.js的Set，它激发了这个提议

Immutable.Set(mySet).intersect(mySet2)

这是一个现代和简单的ES6方式来做，也非常灵活。 它允许您指定多个数组作为与主题数组进行比较的数组，并且可以在包含和独占模式下工作。

// =======================================
// The function
// =======================================

function assoc(subjectArray, otherArrays, { mustBeInAll = true } = {}) {
  return subjectArray.filter((subjectItem) => {
    if (mustBeInAll) {
      return otherArrays.every((otherArray) =>
        otherArray.includes(subjectItem)
      );
    } else {
      return otherArrays.some((otherArray) => otherArray.includes(subjectItem));
    }
  });
}

// =======================================
// The usage
// =======================================

const cheeseList = ["stilton", "edam", "cheddar", "brie"];
const foodListCollection = [
  ["cakes", "ham", "stilton"],
  ["juice", "wine", "brie", "bread", "stilton"]
];

// Output will be: ['stilton', 'brie']
const inclusive = assoc(cheeseList, foodListCollection, { mustBeInAll: false }),

// Output will be: ['stilton']
const exclusive = assoc(cheeseList, foodListCollection, { mustBeInAll: true })

实例:https://codesandbox.io/s/zealous-butterfly-h7dgf?fontsize=14&hidenavigation=1&theme=dark

我使用地图甚至对象可以使用。

//find intersection of 2 arrs
const intersections = (arr1,arr2) => {
  let arrf = arr1.concat(arr2)
  let map = new Map();
  let union = [];
  for(let i=0; i<arrf.length; i++){
    if(map.get(arrf[i])){
      map.set(arrf[i],false);
    }else{
      map.set(arrf[i],true);
    }
  }
 map.forEach((v,k)=>{if(!v){union.push(k);}})
 return union;
}