Checking for duplicate Javascript objects
TL;DR version: I want to avoid adding duplicate Javascript objects to an array of similar objects, some of which might be really big. What's the best approach?
I have an application where I'm loading large amounts of JSON data into a Javascript data structure. While it's a bit more complex than this, assume that I'm loading JSON into an array of Javascript objects from a server through a series of AJAX requests, something like:
var myObjects = [];
function processObject(o) {
myObjects.push(o);
}
for (var x=0; x<1000; x++) {
$.getJSON('/new_object.json', processObject);
}
To complicate matters, the JSON:
- is in an unknown schema
- is of arbitrary length (probably not enormous, but could be in the 100-200 kb range)
- might contain duplicates across different requests
My initial thought is to have an additional object to store a hash of each object (via JSON.stringify
?) and check against it on each load, like this:
var myHashMap = {};
function processObject(o) {
var hash = JSON.stringify(o);
// is it in the hashmap?
if (!(myHashMap[hash])) {
myObjects.push(o);
// set 开发者_Go百科the hashmap key for future checks
myHashMap[hash] = true;
}
// else ignore this object
}
but I'm worried about having property names in myHashMap
that might be 200 kb in length. So my questions are:
- Is there a better approach for this problem than the hashmap idea?
- If not, is there a better way to make a hash function for a JSON object of arbitrary length and schema than
JSON.stringify
? - What are the possible issues with super-long property names in an object?
I'd suggest you create an MD5 hash of the JSON.stringify(o) and store that in your hashmap with a reference to your stored object as the data for the hash. And to make sure that there are no object key order differences in the JSON.stringify()
, you have to create a copy of the object that orders the keys.
Then, when each new object comes in, you check it against the hash map. If you find a match in the hash map, then you compare the incoming object with the actual object that you've stored to see if they are truly duplicates (since there can be MD5 hash collisions). That way, you have a manageable hash table (with only MD5 hashes in it).
Here's code to create a canonical string representation of an object (including nested objects or objects within arrays) that handles object keys that might be in a different order if you just called JSON.stringify().
// Code to do a canonical JSON.stringify() that puts object properties
// in a consistent order
// Does not allow circular references (child containing reference to parent)
JSON.stringifyCanonical = function(obj) {
// compatible with either browser or node.js
var Set = typeof window === "object" ? window.Set : global.Set;
// poor man's Set polyfill
if (typeof Set !== "function") {
Set = function(s) {
if (s) {
this.data = s.data.slice();
} else {
this.data = [];
}
};
Set.prototype = {
add: function(item) {
this.data.push(item);
},
has: function(item) {
return this.data.indexOf(item) !== -1;
}
};
}
function orderKeys(obj, parents) {
if (typeof obj !== "object") {
throw new Error("orderKeys() expects object type");
}
var set = new Set(parents);
if (set.has(obj)) {
throw new Error("circular object in stringifyCanonical()");
}
set.add(obj);
var tempObj, item, i;
if (Array.isArray(obj)) {
// no need to re-order an array
// but need to check it for embedded objects that need to be ordered
tempObj = [];
for (i = 0; i < obj.length; i++) {
item = obj[i];
if (typeof item === "object") {
tempObj[i] = orderKeys(item, set);
} else {
tempObj[i] = item;
}
}
} else {
tempObj = {};
// get keys, sort them and build new object
Object.keys(obj).sort().forEach(function(item) {
if (typeof obj[item] === "object") {
tempObj[item] = orderKeys(obj[item], set);
} else {
tempObj[item] = obj[item];
}
});
}
return tempObj;
}
return JSON.stringify(orderKeys(obj));
}
And, the algorithm
var myHashMap = {};
function processObject(o) {
var stringifiedCandidate = JSON.stringifyCanonical(o);
var hash = CreateMD5(stringifiedCandidate);
var list = [], found = false;
// is it in the hashmap?
if (!myHashMap[hash] {
// not in the hash table, so it's a unique object
myObjects.push(o);
list.push(myObjects.length - 1); // put a reference to the object with this hash value in the list
myHashMap[hash] = list; // store the list in the hash table for future comparisons
} else {
// the hash does exist in the hash table, check for an exact object match to see if it's really a duplicate
list = myHashMap[hash]; // get the list of other object indexes with this hash value
// loop through the list
for (var i = 0; i < list.length; i++) {
if (stringifiedCandidate === JSON.stringifyCanonical(myObjects[list[i]])) {
found = true; // found an exact object match
break;
}
}
// if not found, it's not an exact duplicate, even though there was a hash match
if (!found) {
myObjects.push(o);
myHashMap[hash].push(myObjects.length - 1);
}
}
}
Test case for jsonStringifyCanonical()
is here: https://jsfiddle.net/jfriend00/zfrtpqcL/
- Maybe. For example if You know what kind object goes by You could write better indexing and searching system than JS objects' keys. But You could only do that with JavaScript and object keys are written in C...
- Must Your hashing be lossless or not? If can than try to lose compression (MD5). I guessing You will lose some speed and gain some memory. By the way, do
JSON.stringify(o)
guarantees same key ordering. Because{foo: 1, bar: 2}
and{bar: 2, foo: 1}
is equal as objects, but not as strings. - Cost memory
One possible optimization:
Instead of using getJSON
use $.get
and pass "text"
as dataType
param. Than You can use result as Your hash and convert to object afterwards.
Actually by writing last sentence I though about another solution:
- Collect all results with
$.get
into array - Sort it with buildin (c speed)
Array.sort
- Now You can easily spot and remove duplicates with one
for
Again different JSON strings can make same JavaScript object.
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