[FEATURE] Introduce the disk buffer in WriteBufferManager for low memory executor in spark uniffle client

### Code of Conduct

- [x] I agree to follow this project's [Code of Conduct](https://www.apache.org/foundation/policies/conduct)

### Search before asking

- [x] I have searched in the [issues](https://github.com/apache/incubator-uniffle/issues?q=is%3Aissue) and found no similar issues.

### Describe the feature

I found some jobs failed due to the failure of memory requiring in low memory spark task executor. For this case, we may introduce the disk buffer to slow down the memory requirement.

### Motivation

_No response_

### Describe the solution

_No response_

### Additional context

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

Start by locating WriteBufferManager in the Spark Uniffle client and reading how it currently handles executor memory. Determine the expected disk-buffer behavior and its limits for low-memory executors; done should include a defined implementation and validation that the buffer reduces memory requirements without breaking shuffle writes.

Written by the indexing model from the issue text.