[Feature][Studio] support execute jar by form

[Pandas886]

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• I had searched in the issues and found no similar feature requirement.

Description

目前提交jar任务是需要sql的，但是如果jar的入参比较复杂，比如有单引号和双引号等，会导致execute jar sql解析失败。建议可以用前端表单来提交，更解决云厂商的jar任务管理方式，降低学习成本。

Use case

目前1.0.0版本中的execute jar sql是没法正常跑下面用例的
Examples:
Find all orders mentioned in the source table, then mark as important if the price is above 100
or delete if the price is under 10.

./flink run \
    /path/to/paimon-flink-action-0.8-SNAPSHOT.jar \
    merge_into \
    --warehouse <warehouse-path> \
    --database <database-name> \
    --table T \
    --source_table S \
    --on "T.id = S.order_id" \
    --merge_actions \
    matched-upsert,matched-delete \
    --matched_upsert_condition "T.price > 100" \
    --matched_upsert_set "mark = 'important'" \
    --matched_delete_condition "T.price < 10" 

Related issues

No response

Are you willing to submit a PR?

• Yes I am willing to submit a PR!

Code of Conduct

• I agree to follow this project's Code of Conduct

[Zzm0809]

你可以来实现此功能吗?