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nchammas
flintrock
Python2016–2021
nchammas / flintrock

flintrock

A command-line tool for launching Apache Spark clusters.

2Distinct people
3Mentions
0Explicit recommenders
649GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A command-line tool for launching Apache Spark clusters.

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 year3 dated mentions

Observed mentions: 2016-07-10 17:20:10 UTC to 2021-02-14 21:12:46 UTC.

012016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 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): 1 mentions; 0 submissions, 1 comments20182019-01-01 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 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021

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 UTC101
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 UTC101
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 UTC101

What Hacker News says

3 sources
> * AWS has a managed Spark offering called EMR There is also my rinky-dink open source project, Flintrock [0], that will launch open source Spark clusters on AWS for you. It's probably not the right tool for production use (and you would be right to wonder why Flintrock exists when we have EMR [1]), but I know of several companies that have used Flintrock at one point or other in production at large scale (like, 400+ node clusters). [0]: https://github.com/nchammas/flintrock [1]: https://github.com/nchammas/flintrock#why-build-flintrock-wh...
In Why Databricks Is Winning
Quite a few out there but the problem is that of fragmentation. There have been too many API changes making following online resources tricky. Having said that, I got great value out of these resources. Make sure you are working on the right version of Spark. https://jaceklaskowski.gitbooks.io/mastering-apache-spark/ https://pages.databricks.com/definitive-guide-spark.html Databricks cloud workspace (community edition) offers free interactive spark clusters where you can practice or develop your skills https://community.cloud.databricks.com/ If you want a bit of flexibility, you can launch your own cluster using flinktrock and a pair of free tier t2.micro EC2 instances https://github.com/nchammas/flintrock
In Ask HN: What technologies did you learn in 2018?
> as long as setting up a cluster is a bit easier! If you're on AWS, it's already quite easy to set up a cluster today, no? There's EMR of course, and there are tools like spark-ec2 [0] and Flintrock [1]. There are a few more tools listed on Spark Packages that target different cloud providers [2], too. Disclaimer: I am the primary author of Flintrock and am a contributor to spark-ec2. [0] https://github.com/amplab/spark-ec2 [1] https://github.com/nchammas/flintrock [2] https://spark-packages.org/?q=tags%3Adeployment
In Generating Recommendations at Amazon Scale with Apache Spark and Amazon DSSTNE

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