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benbjohnson
megajson
Go2013–2015
benbjohnson / megajson · Archived

megajson

A JSON parser generator for high performance encoding and decoding in Go.

3Distinct people
3Mentions
0Explicit recommenders
467GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A JSON parser generator for high performance encoding and decoding in Go.

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, 3:56:07 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 month3 dated mentions

Observed mentions: 2013-11-27 01:28:45 UTC to 2015-11-12 15:26:59 UTC.

012013-11-01 00:00:00 UTC to 2013-12-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsNov 20132013-12-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-01-01 00:00:00 UTC to 2014-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-02-01 00:00:00 UTC to 2014-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-03-01 00:00:00 UTC to 2014-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-04-01 00:00:00 UTC to 2014-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-05-01 00:00:00 UTC to 2014-06-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2014-06-01 00:00:00 UTC to 2014-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-07-01 00:00:00 UTC to 2014-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-08-01 00:00:00 UTC to 2014-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-09-01 00:00:00 UTC to 2014-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-10-01 00:00:00 UTC to 2014-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-11-01 00:00:00 UTC to 2014-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsNov 20142014-12-01 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 2015-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-02-01 00:00:00 UTC to 2015-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-03-01 00:00:00 UTC to 2015-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-04-01 00:00:00 UTC to 2015-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-05-01 00:00:00 UTC to 2015-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-06-01 00:00:00 UTC to 2015-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-07-01 00:00:00 UTC to 2015-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-08-01 00:00:00 UTC to 2015-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-09-01 00:00:00 UTC to 2015-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-01 00:00:00 UTC to 2015-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-11-01 00:00:00 UTC to 2015-12-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsNov 2015

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
Nov 20132013-11-01 00:00:00 UTC2013-12-01 00:00:00 UTC101
Dec 20132013-12-01 00:00:00 UTC2014-01-01 00:00:00 UTC000
Jan 20142014-01-01 00:00:00 UTC2014-02-01 00:00:00 UTC000
Feb 20142014-02-01 00:00:00 UTC2014-03-01 00:00:00 UTC000
Mar 20142014-03-01 00:00:00 UTC2014-04-01 00:00:00 UTC000
Apr 20142014-04-01 00:00:00 UTC2014-05-01 00:00:00 UTC000
May 20142014-05-01 00:00:00 UTC2014-06-01 00:00:00 UTC101
Jun 20142014-06-01 00:00:00 UTC2014-07-01 00:00:00 UTC000
Jul 20142014-07-01 00:00:00 UTC2014-08-01 00:00:00 UTC000
Aug 20142014-08-01 00:00:00 UTC2014-09-01 00:00:00 UTC000
Sep 20142014-09-01 00:00:00 UTC2014-10-01 00:00:00 UTC000
Oct 20142014-10-01 00:00:00 UTC2014-11-01 00:00:00 UTC000
Nov 20142014-11-01 00:00:00 UTC2014-12-01 00:00:00 UTC000
Dec 20142014-12-01 00:00:00 UTC2015-01-01 00:00:00 UTC000
Jan 20152015-01-01 00:00:00 UTC2015-02-01 00:00:00 UTC000
Feb 20152015-02-01 00:00:00 UTC2015-03-01 00:00:00 UTC000
Mar 20152015-03-01 00:00:00 UTC2015-04-01 00:00:00 UTC000
Apr 20152015-04-01 00:00:00 UTC2015-05-01 00:00:00 UTC000
May 20152015-05-01 00:00:00 UTC2015-06-01 00:00:00 UTC000
Jun 20152015-06-01 00:00:00 UTC2015-07-01 00:00:00 UTC000
Jul 20152015-07-01 00:00:00 UTC2015-08-01 00:00:00 UTC000
Aug 20152015-08-01 00:00:00 UTC2015-09-01 00:00:00 UTC000
Sep 20152015-09-01 00:00:00 UTC2015-10-01 00:00:00 UTC000
Oct 20152015-10-01 00:00:00 UTC2015-11-01 00:00:00 UTC000
Nov 20152015-11-01 00:00:00 UTC2015-12-01 00:00:00 UTC101

What Hacker News says

3 sources
I grant that your questions are probably rhetorical, but I'll take a shot at them anyway. While I was writing Rust's regex crate, I became very familiar with Russ Cox's work on implementing a regex engine with worst case O(mn) time complexity (m ~ regex and n ~ search text). As far as I know, he has two implementations of these ideas: RE2 (C++) and Go's regexp package. RE2 is extremely sophisticated. It includes a full NFA simulation (known as the "Pike VM") that can find submatches, and it also includes a DFA that avoids repeating work (but cannot find submatches). The DFA is very very fast (and I believe is multithreaded). The NFA simulation isn't as fast and is only used when necessary. Go's regexp package only includes a full NFA simulation. There is no speedy DFA. My guess is that this is the primary reason why it is slow. (I will, h
Read the rest
owever, note that Go 1.3 will include a reasonably large optimization which introduces a "one-pass" NFA simulation. It's used when it can be proven that the regex will never need to backtrack. Rob Pike posted some benchmarks on golang-dev a while back, and they showed a perf improvement in the regexp package. So they at least seem to be working on things that you care about.) Speaking from a higher level, I'd say that the raw performance of regexes is probably not a huge priority. Needing wickedly fast regexes seems like a special case to me, in which case, you might just use an existing library to do it via cgo. (And indeed, the benchmark's game includes some Go benchmarks that use the PCRE C library, which has more reasonable performance.) For more details on how it all works, Russ has written an amazing series of articles on the topic: http://swtch.com/~rsc/regexp/ > Why does encoding/json still rely on reflection, making it slow compared to other approaches? Using reflection makes encoding/decoding JSON extraordinarily convenient. I do the same with TOML[1], although admittedly, performance is less of an issue there. My suspicion is that the added complexity for when you need raw speed isn't common enough to be in the standard library. megajson[2] tries to fill this hole, but it's a code generation tool, so you may find that less than ideal. [1] - https://github.com/BurntSushi/toml [2] - https://github.com/benbjohnson/megajson
In Go 1.3 Linker Improvements

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