Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Implement shared memory pool when native memory management is enabled #996

Open
andygrove opened this issue Oct 3, 2024 · 0 comments
Open

Implement shared memory pool when native memory management is enabled #996

andygrove opened this issue Oct 3, 2024 · 0 comments
Labels
enhancement New feature or request

Comments

@andygrove
Copy link
Member

What is the problem the feature request solves?

As described in detail in #949, when using native memory management, we currently create one pool per plan and do not take executor concurrency into account when setting spark.executor.memoryOverhead.

Describe the potential solution

This issue is for implementing a shared pool between native plans within an executor.

Additional context

No response
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
enhancement New feature or request
Projects
None yet
Milestone
No milestone
1 participant
@andygrove