[FEATURE][Spark] Support partial sort and combine for reducing shuffle data size

### 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

In spark client, currently uniffle don't support merge for some ops supporting combine to reduce data size. Due to this, in some cases, it will cause unnecessary network and performance regression.

### 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 in the Spark client and trace shuffle handling for operations that support combining, identifying where partial sort and combine are currently absent. Done means the relevant operations merge data before or during shuffle and reduce unnecessary network transfer without regressions.

Written by the indexing model from the issue text.