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memsql
bench
Python2012–2012
memsql / bench · Archived

bench

MemSQL Benchmark Tools

2Distinct people
4Mentions
0Explicit recommenders
23GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

MemSQL Benchmark Tools

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 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 4:01:40 AM 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 hour4 dated mentions

Observed mentions: 2012-06-27 22:49:35 UTC to 2012-06-28 00:37:30 UTC.

0122012-06-27 22:00:00 UTC to 2012-06-27 23:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 27, 22:002012-06-27 23:00:00 UTC to 2012-06-28 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 27, 23:002012-06-28 00:00:00 UTC to 2012-06-28 01:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsJun 28, 00:00

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
Jun 27, 22:002012-06-27 22:00:00 UTC2012-06-27 23:00:00 UTC101
Jun 27, 23:002012-06-27 23:00:00 UTC2012-06-28 00:00:00 UTC101
Jun 28, 00:002012-06-28 00:00:00 UTC2012-06-28 01:00:00 UTC202

What Hacker News says

1 sources
> It seems as if it's designed for situations where you're doing a lot of table scans. This is not quite true. Lockfree data structure work exceptionally well for a lot of small concurrent reads and writes. If you look at the benchmarking code: https://github.com/memsql/bench/blob/master/sql_database.py you will notice that there are a lot of queries like "fetch by pk/guid". The trade-offs are: taking a hit the first time you run the query, being limited to the amount of RAM, limited set of features for this release. The benefits are throughput for "fetch by pk/guid" transactions and predictably low latencies.
In Reading Between the Benchmarks: How MemSQL Designs for Speed and Durability

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