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jet
kafunk
F#2016–2024
jet / kafunk · Archived

kafunk

Kafunk: F# Kafka client

2Distinct people
2Mentions
0Explicit recommenders
160GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Kafunk: F# Kafka client

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, 3:03:16 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 year2 dated mentions

Observed mentions: 2016-07-21 20:29:00 UTC to 2024-03-04 18:05:20 UTC.

012016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20162017-01-01 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): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024

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
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC110
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 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101

What Hacker News says

2 sources
Performance. Generally speaking, F# was actually very fast, and had nice concurrency support, but there were times that wasn't the case. For example, in 2016 I was part of the initiative to rewrite the ad feed. We had to read in several Kafka topics, do some joining on our end, and emit to a separate Kafka topic. This isn't terribly hard to write, but we were dealing on the order of about ~100gb of data being pushed into memory. This is hardly "big data" stuff, but it's enough to highlight some issues. Specifically, the built F# persistent map structure was simply too slow to get the performance we wanted. I really like that structure, it's really handy and nice, but I ended up having to make heavy use of the ConcurrentDictionary that was built into .NET. This wasn't that hard or anything, but it made me a little sad that I had to mo
Read the rest
ve to a mutable store to get the performance I needed. There was also the fact that the `async` monad, while generally very good and useful, had bizarre bottlenecks that were hard to measure. It was difficult to know when the async task was actually started, and when you tried to measure performance bottlenecks you were really only measuring the scheduler, not the actual performance. This isn't really F#'s fault, this is an issue with any kind of cooperative scheduling system, but occasionally to get the performance we needed we'd have to move to lower level threads instead of the pretty monadic stuff. Microsoft eventually released the Task monad which generally performed a bit better. There were other things here and there; the Kafka client libraries for .NET simply aren't as good as the Java ones. Jet actually open-sourced their own (https://github.com/jet/kafunk) which did make it a bit more functional and nice, but it had performance issues as well, so a lot of us ended up using Confluent. There were little annoyances specific to F# as well; there's no real concept of a monad transformer, so if you wanted to do something like, for example, combine an Option and an Async into generalized syntax, you'd have to write your own wrapper monad thing, which wasn't that hard but was sort of ad hoc. The general rule of thumb was that the first draft of software, we would try and keep as functional and pretty. If that was too slow, we allowed mutation but only within a function. If that was too slow, we'd allow global mutation but only with thread-safe stuff.
In Walmart is migrating the remaining F# code into Java

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