I have two arrays of objects:
var a = [ {'id': 20}, {'id': 15}, {'id': 10}, {'id': 17}, {'id': 23} ];
var b = [ {'id': 90}, {'id': 15}, {'id': 17}, {'id': 23} ];
I'd like to get objects which are in a, but not in b. Results from this example would be:
{'id': 20}
and {'id': 10}
.
Because the arrays could be large, I need an efficient way to do this.
// Make hashtable of ids in B
var bIds = {}
b.forEach(function(obj){
bIds[obj.id] = obj;
});
// Return all elements in A, unless in B
return a.filter(function(obj){
return !(obj.id in bIds);
});
very minor addendum: If the lists are very large and you wish to avoid the factor of 2 extra memory, you could store the objects in a hashmap in the first place instead of using lists, assuming the ids are unique: a = {20:{etc:...}, 15:{etc:...}, 10:{etc:...}, 17:{etc:...}, 23:{etc:...}}
. I'd personally do this. Alternatively: Secondly, javascript sorts lists in-place so it doesn't use more memory. e.g. a.sort((x,y)=>x.id-y.id)
Sorting would be worse than the above because it's O(N log(N)). But if you had to sort it anyway, there is an O(N) algorithm that involves two sorted lists: namely, you consider both lists together, and repeatedly take the leftmost (smallest) element from the lists (that is examine, then increment a pointer/bookmark from the list you took). This is just like merge sort but with a little bit more care to find identical items... and maybe pesky to code. Thirdly, if the lists are legacy code and you want to convert it to a hashmap without memory overhead, you can also do so element-by-element by repeatedly popping the elements off of the lists and into hashmaps.
With lodash 4.12.0 you can use _.differenceBy.
_.differenceBy(a, b, 'id');
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