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.

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

How to tune with parameters? #160

Open
zjs1224522500 opened this issue Sep 26, 2023 · 2 comments
Open

How to tune with parameters? #160

zjs1224522500 opened this issue Sep 26, 2023 · 2 comments

Comments

@zjs1224522500
Copy link

zjs1224522500 commented Sep 26, 2023

Can the parameters in Jungle correspond to those in RocksDB? Such as Memtable size, SSTable size, block size, background job number, direct i/o, cache size and etc.

Could you please give some advice on tuning the jungle db?

@greensky00
Copy link
Contributor

Tunable parameters are defined here:

It has configs corresponding to those in RocksDB (maxLogFileSize: memtable size, maxL0TableSize maxL1TableSize: sstable size, directIoOpt: direct io, ...).

@zjs1224522500
Copy link
Author

Thanks for your reply!

Are the parameters numFlusherThreads and numCompactorThreads corresponding to the max flush and compaction jobs in RocksDB?

Are there any recommended default parameters to compare the performance of RocksDB?

Could you suggest some parameters related to the experiments in the paper? We want to test the effect on some other workloads.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants