[SPARK-48090][SS][PYTHON][TESTS] Shorten the traceback in the test checking error message in UDF

[HyukjinKwon]

What changes were proposed in this pull request?

This PR reduces traceback so the actual error ZeroDivisionError can be tested in pyspark.sql.tests.connect.streaming.test_parity_streaming.StreamingParityTests.test_stream_exception

Why are the changes needed?

So long traceback doesn't affect the test case. It can fail as below:

======================================================================
FAIL [1.883s]: test_stream_exception (pyspark.sql.tests.connect.streaming.test_parity_streaming.StreamingParityTests.test_stream_exception)
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Traceback (most recent call last):
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/tests/streaming/test_streaming.py", line 287, in test_stream_exception
    sq.processAllAvailable()
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/connect/streaming/query.py", line 129, in processAllAvailable
    self._execute_streaming_query_cmd(cmd)
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/connect/streaming/query.py", line 177, in _execute_streaming_query_cmd
    (_, properties) = self._session.client.execute_command(exec_cmd)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/connect/client/core.py", line 982, in execute_command
    data, _, _, _, properties = self._execute_and_fetch(req)
                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/connect/client/core.py", line 1283, in _execute_and_fetch
    for response in self._execute_and_fetch_as_iterator(req):
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/connect/client/core.py", line 1264, in _execute_and_fetch_as_iterator
    self._handle_error(error)
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/connect/client/core.py", line [150](https://github.com/HyukjinKwon/spark/actions/runs/8978991632/job/24660689666#step:9:151)3, in _handle_error
    self._handle_rpc_error(error)
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/connect/client/core.py", line 1539, in _handle_rpc_error
    raise convert_exception(info, status.message) from None
pyspark.errors.exceptions.connect.StreamingQueryException: [STREAM_FAILED] Query [id = 1c0c440d-0b48-41b1-9a03-071e7e13de82, runId = 692ec338-963a-43b1-89cb-2a8b7cb1e21a] terminated with exception: Job aborted due to stage failure: Task 0 in stage 39.0 failed 1 times, most recent failure: Lost task 0.0 in stage 39.0 (TID 58) (fv-az714-234.22nzjvkrszmuhkvqy55p1tioig.phxx.internal.cloudapp.net executor driver): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 1834, in main
    process()
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 1826, in process
    serializer.dump_stream(out_iter, outfile)
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 224, in dump_stream
    self.serializer.dump_stream(self._batched(iterator), stream)
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 145, in dump_stream
    for obj in iterator:
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 213, in _batched
    for item in iterator:
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 1734, in mapper
    result = tuple(f(*[a[o] for o in arg_offsets]) for arg_offsets, f in udfs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 1734, in <genexpr>
    result = tuple(f(*[a[o] for o in arg_offsets]) for arg_offsets, f in udfs)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line 112, in <lambda>
    return args_kwargs_offsets, lambda *a: func(*a)
                                           ^^^^^^^^
  File "/home/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/util.py", line 134, in wrapper
    return f(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^
  File "/home/runner/work/spark/spark-3....

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/tests/streaming/test_streaming.py", line 291, in test_stream_exception
    self._assert_exception_tree_contains_msg(e, "ZeroDivisionError")
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/tests/streaming/test_streaming.py", line 300, in _assert_exception_tree_contains_msg
    self._assert_exception_tree_contains_msg_connect(exception, msg)
  File "/home/runner/work/spark/spark-3.5/python/pyspark/sql/tests/streaming/test_streaming.py", line 305, in _assert_exception_tree_contains_msg_connect
    self.assertTrue(
AssertionError: False is not true : Exception tree doesn't contain the expected message: ZeroDivisionError

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Does this PR introduce any user-facing change?

No, test-only.

How was this patch tested?

Tested in my own fork: https://github.com/HyukjinKwon/spark/actions/runs/8978991632

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

No.

[WeichenXu123]

LGTM!

[HyukjinKwon]

Merged to master and branch-3.5.

[zhengruifeng]

late LGTM