[SPARK-51430][PYTHON] Stop PySpark context logger from propagating logs to stdout

[allisonwang-db]

What changes were proposed in this pull request?

This PR stops PySpark context logger from propagating logs to stdout.

Why are the changes needed?

To improve user experience. Currently you can see this logging message in pyspark shell

In [1]: from pyspark.sql.functions import col

In [2]: spark.range(10).select(col("id2")).show()
{"ts": "2025-03-06 16:55:36.678", "level": "ERROR", "logger": "DataFrameQueryContextLogger", "msg": "[UNRESOLVED_COLUMN.WITH_SUGGESTION] A column, variable, or function parameter with name `id2` cannot be resolved. Did you mean one of the following? [`id`]. SQLSTATE: 42703", "context": {"file": "<ipython-input-2-bac6211f25a7>", "line": "1", "fragment": "col", "errorClass": "UNRESOLVED_COLUMN.WITH_SUGGESTION"}, "exception": {"class": "Py4JJavaError", "msg": "An error occurred while calling o34.select...

Does this PR introduce any user-facing change?

No

How was this patch tested?

Existing tests

Was this patch authored or co-authored using generative AI tooling?

No

[allisonwang-db]

cc @HyukjinKwon @itholic

[dongjoon-hyun]

After this PR, where I can see the error, @allisonwang-db ?