Reputation: 5500
I have a data structure that is essentially a linked list stored in state. It represents a stream of changes (patches) to a base object. It is linked by key, rather than by object reference, to allow me to trivially serialise and deserialise the state.
It looks like this:
const latest = 'id4' // They're actually UUIDs, so I can't sort on them (text here for clarity)
const changes = {
id4: {patch: {}, previous: 'id3'},
id3: {patch: {}, previous: 'id2'},
id2: {patch: {}, previous: 'id1'},
id1: {patch: {}, previous: undefined},
}
At some times, a user chooses to run an expensive calculation and results get returned into state. We do not have results corresponding to every change but only some. So results might look like:
const results = {
id3: {performance: 83.6},
id1: {performance: 49.6},
}
Given the changes array, I need to get the results closest to the tip of the changes list, in this case results.id3
.
I've written a while loop to do this, and it's perfectly robust at present:
let id = latest
let referenceId = undefined
while (!!id) {
if (!!results[id]) {
referenceId = id
id = undefined
} else {
id = changes[id].previous
}
}
The approach is O(N) but that's the pathological case: I expect a long changelist but with fairly frequent results updates, such that you'd only have to walk back a few steps to find a matching result.
Following the great work of Gene Krantz (read his book "Failure is not an option" to understand why NASA never use recursion!) I try to avoid using while loops in code bases: They tend to be susceptible to inadvertent mistakes.
For example, all that would be required to make an infinite loop here is to do delete changes.id1
.
So, I'd like to avoid that vulnerability and instead fail to retrieve any result, because not returning a performance value can be handled; but the user's app hanging is REALLY bad!
To avoid the while loop, I thought about sorting the changes
object into an array ordered per the linked list, then simply looping through it.
The problem is that I have to traverse the whole changes list first to get the array in a sorted order, because I don't store an ordering key (it would violate the point of a linked list, because you could no longer do O(1) insert).
It's not a heavy operation, to push an id onto an array, but is still O(N).
Is there a way of traversing this linked list without using a while loop, and without an O(N) approach to convert the linked list into a normal array?
Upvotes: 0
Views: 38
Reputation: 350766
Since you only need to append at the end and possibly remove from the end, the required structure is a stack. In JavaScript the best data structure to implement a stack is an array -- using its push
and pop
features.
So then you could do things like this:
const changes = [];
function addChange(id, patch) {
changes.push({id, patch});
}
function findRecentMatch(changes, constraints) {
for (let i = changes.length - 1; i >= 0; i--) {
const {id} = changes[i];
if (constraints[id]) return id;
}
}
// Demo
addChange("id1", { data: 10 });
addChange("id2", { data: 20 });
addChange("id3", { data: 30 });
addChange("id4", { data: 40 });
const results = {
id3: {performance: 83.6},
id1: {performance: 49.6},
}
const referenceId = findRecentMatch(changes, results);
console.log(referenceId); // id3
Depending on what you want to do with that referenceId
you might want findRecentMatch
to return the index in changes
instead of the change-id itself. This gives you the possibility to still retrieve the id
, but also to clip the changes
list to end at that "version" (i.e. as if you popped all the entries up to that point, but then in one operation).
Upvotes: 1
Reputation: 5500
While writing out the question, I realised that rather than avoiding a while-loop entirely, I can add an execution count and an escape hatch which should be sufficient for the purpose.
This solution uses Object.keys()
which is strictly O(N) so not technically a correct answer to the question - but it is very fast.
If I needed it faster, I could restructure changes
as a map
instead of a general object and access changes.size
as per this answer
let id = latest
let referenceId = undefined
const maxLoops = Object.keys(changes).length
let loop = 0
while (!!id && loop < maxLoops) {
loop++
if (!!results[id]) {
referenceId = id
id = undefined
} else {
id = changes[id].previous
}
}
Upvotes: 1