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nchammas
flintrock
Python2016–2021
nchammas / flintrock

flintrock

A command-line tool for launching Apache Spark clusters.

Command LineDevOps & Cloud
Explore on GitHubRead Hacker News discussions
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 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 10:49:33 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

1 sources
xkgt·Dec 24, 2018
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?

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