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Capture and replay real mongodb workloads

Explore on GitHubRead Hacker News discussions
2Distinct people
2Mentions
0Explicit recommenders
217GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Capture and replay real mongodb workloads

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, 1:49:46 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 month2 dated mentions

Observed mentions: 2014-09-23 10:43:13 UTC to 2016-10-01 22:30:39 UTC.

012014-09-01 00:00:00 UTC to 2014-10-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsSep 20142014-10-01 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 comments2014-12-01 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 commentsSep 20152015-10-01 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): 0 mentions; 0 submissions, 0 comments2015-12-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-01-01 00:00:00 UTC to 2016-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-02-01 00:00:00 UTC to 2016-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-03-01 00:00:00 UTC to 2016-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-04-01 00:00:00 UTC to 2016-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-05-01 00:00:00 UTC to 2016-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-06-01 00:00:00 UTC to 2016-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-07-01 00:00:00 UTC to 2016-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-08-01 00:00:00 UTC to 2016-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-09-01 00:00:00 UTC to 2016-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-10-01 00:00:00 UTC to 2016-11-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsOct 2016

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
Sep 20142014-09-01 00:00:00 UTC2014-10-01 00:00:00 UTC110
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 UTC000
Dec 20152015-12-01 00:00:00 UTC2016-01-01 00:00:00 UTC000
Jan 20162016-01-01 00:00:00 UTC2016-02-01 00:00:00 UTC000
Feb 20162016-02-01 00:00:00 UTC2016-03-01 00:00:00 UTC000
Mar 20162016-03-01 00:00:00 UTC2016-04-01 00:00:00 UTC000
Apr 20162016-04-01 00:00:00 UTC2016-05-01 00:00:00 UTC000
May 20162016-05-01 00:00:00 UTC2016-06-01 00:00:00 UTC000
Jun 20162016-06-01 00:00:00 UTC2016-07-01 00:00:00 UTC000
Jul 20162016-07-01 00:00:00 UTC2016-08-01 00:00:00 UTC000
Aug 20162016-08-01 00:00:00 UTC2016-09-01 00:00:00 UTC000
Sep 20162016-09-01 00:00:00 UTC2016-10-01 00:00:00 UTC000
Oct 20162016-10-01 00:00:00 UTC2016-11-01 00:00:00 UTC101

What Hacker News says

2 sources
spimmy·Oct 1, 2016
I have plenty of rants about the company's engineering, priorities, etc. I just hate people saying dumb shit. :) Workload QPS is a meaningless number unless you know what the workload is. At Parse, we used RocksDB (a LSM tree write optimized storage engine) to get something stupid like 9x faster writes. I don't know where you're seeing 600 QPS ... (we got 100x that if we were optimizing for writes) ... but it still doesn't mean anything unless you know the size of the document, whether it's inserts, queries, updates, whether it's hot spotting on a row, whether the lock is at the collection, document, database, or global, etc. If you're going to switch storage engines, you have to use some sort of capture replay technology or you can not have any confidence in the change. Use what we wrote at Parse: https://github.com/ParsePlatform/f
Read the rest
lashback. We spent ~6 months teasing out bugs in rocksdb, mongodb, the 2.6 query planner rewrite, etc before we even started to make the switch. If you don't do that, you don't get to complain about the results. Sorry.
In Sleepless nights with MongoDB WiredTiger and our return to MMAPv1

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