stackabletech / stackabletech/secret-operator

pods get oom-killed when multiple heavy spark applications start at the same time

Open
#666 2 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

customer-request type/bug
Dominant language
Rust
Stars
13
Forks
8
Avg merge
1d 8h
Merged PRs (30d)
10

Description

Affected Stackable version

25.3.0

Current and expected behavior

when multiple spark applications get started at the same time, all of them having 300 executors, a lot of pvcs are submitted which need to be satisfied by the secret-operator. in basic configuration the secret operator container has 128mb of memory which seems to be not enough because in that case all the pods get oom-killed

Possible solution

Increase the memory limit of the secret-operator container from 128mb to 1gb

Additional context

@soenkeliebau like mentioned today, I'll try to get further details. I think this is reproducible by submitting a 3000 exec application and keeping an eye on the secret-operator ds

Environment

No response

Would you like to work on fixing this bug?

None

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the secret-operator DaemonSet in the basic configuration and reproduce the issue by submitting a Spark application with 3,000 executors while observing the secret-operator pods. Verify whether the 128 MB memory limit causes OOM kills, then confirm that the selected higher limit prevents them during concurrent heavy applications.

Written by the indexing model from the issue text.

Assessment

Tech stack
kubernetes, rust, spark
Domain
infrastructure
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
38/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.