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d3
d3-queue
JavaScript2012–2018
d3 / d3-queue

d3-queue

Evaluate asynchronous tasks with configurable concurrency.

5Distinct people
7Mentions
0Explicit recommenders
1.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Evaluate asynchronous tasks with configurable concurrency.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 12:54:37 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year7 dated mentions

Observed mentions: 2012-01-28 23:08:05 UTC to 2018-03-23 05:06:53 UTC.

01232012-01-01 00:00:00 UTC to 2013-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20122013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2018

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20122012-01-01 00:00:00 UTC2013-01-01 00:00:00 UTC101
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC303
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC000
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC101
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC202

What Hacker News says

7 sources
Its funny, when I landed my first job as a software developer, in a statistical startup, I learned about promises using d3.queue[1]. This was before javascript had native promises, and around the javascript community was settling on A+ promises. But d3 was how I learned to write asynchronous code without relying solely on callbacks. [1]: https://github.com/d3/d3-queue
In D3.js 5.0 is out
Not to focus too myopically on the given example, but I can’t help but wonder why it’s a requirement that the first file be handled specially? A less contrived example would make the argument more convincing. If I wanted to compute the size of one file relative to a set, I’d probably do something like this: queue() .defer(fs.stat, "file1.txt") .defer(fs.stat, "file2.txt") .defer(fs.stat, "file3.txt") .awaitAll(function(error, stats) { if (error) throw error; console.log(stats[0].size / stats.reduce(function(p, v) { return p + v.size; }, 0)); }); Or, if you prefer a list: var q = queue(); files.forEach(function(f) { q.defer(fs.stat, f); }); q.awaitAll(…); // as before This uses my (shameless plug) queue-async module, 419 bytes minified and gzipped: https://github.com/mbostock/queue A
Read the rest
related question is whether you actually want to parallelize access to the file system. Stat'ing might be okay, but reading files in parallel would presumably be slower since you'd be jumping around on disk. (Although, with SSDs, YMMV.) A nice aspect of queue-async is that you can specify the parallelism in the queue constructor, so if you only want one task at a time, it’s as simple as queue(1) rather than queue(). This is not a data dependency, but an optimization based on the characteristics of the underlying system. Anyway, I actually like promises in theory. I just feel like they might be a bit heavy-weight and a lot of API surface area to solve this particular problem. (For that matter, I created queue-async because I wanted something even more minimal than Caolan’s async, and to avoid code transpilation as with Tame.) Callbacks are surely the minimalist solution for serialized asynchronous tasks, and for managing parallelization, I like being able to exercise my preference.
In Callbacks are imperative, promises are functional
I like the generality of the defer/await concepts of TameJs (and by extension, iced coffee). But I was curious if these concepts could be used without code generation, as in Async.js. So I came up with Queue.js: https://github.com/mbostock/queue I haven't tried it in production code yet, but it looks like a convenient abstraction with tunable parallelism.
In IcedCoffeeScript

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