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I had searched in the issues and found no similar feature requirement.
Description
The data and index storage components currently have independent merge scheduling strategies. This approach can lead to many concurrent merging operations—sometimes exceeding 10 simultaneous merges.
When heavy merging tasks occur among these operations, CPU and memory usage can spike significantly, potentially impacting system stability and performance.
To address this issue, I propose introducing a concurrency barrier as a global controller for all merging schedulers. This barrier will limit the number of concurrent merging operations across both data and index storage, effectively reducing the likelihood of resource contention and performance degradation.
Use case
No response
Related issues
No response
Are you willing to submit a pull request to implement this on your own?
Yes I am willing to submit a pull request on my own!
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Description
The data and index storage components currently have independent merge scheduling strategies. This approach can lead to many concurrent merging operations—sometimes exceeding 10 simultaneous merges.
When heavy merging tasks occur among these operations, CPU and memory usage can spike significantly, potentially impacting system stability and performance.
To address this issue, I propose introducing a concurrency barrier as a global controller for all merging schedulers. This barrier will limit the number of concurrent merging operations across both data and index storage, effectively reducing the likelihood of resource contention and performance degradation.
Use case
No response
Related issues
No response
Are you willing to submit a pull request to implement this on your own?
Code of Conduct
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