WweiL opened a new pull request, #40966:
URL: https://github.com/apache/spark/pull/40966

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   Manual test:
   Python:
   ```
   Welcome to
         ____              __
        / __/__  ___ _____/ /__
       _\ \/ _ \/ _ `/ __/  '_/
      /__ / .__/\_,_/_/ /_/\_\   version 3.5.0.dev0
         /_/
   
   Using Python version 3.9.16 (main, Dec  7 2022 01:11:58)
   Client connected to the Spark Connect server at localhost
   SparkSession available as 'spark'.
   >>> from pyspark.sql.functions import col, udf
   >>> from pyspark.errors import StreamingQueryException
   >>> sdf = 
spark.readStream.format("text").load("python/test_support/sql/streaming")
   >>> bad_udf = udf(lambda x: 1 / 0)
   ^[[Asq = 
sdf.select(bad_udf(col("value"))).writeStream.format("memory").queryName("this_query").start()
   >>> sq.exception()
   StreamingQueryException('Job aborted due to stage failure: Task 0 in stage 
0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0) 
(ip-10-110-19-234.us-west-2.compute.internal executor driver): 
org.apache.spark.api.python.PythonException: Traceback (most recent call 
last):\n  File "<stdin>", line 1, in <lambda>\nZeroDivisionError: division by 
zero\n\n\tat 
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:559)\n\tat
 
org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$2.read(PythonUDFRunner.scala:94)\n\tat
 
org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$2.read(PythonUDFRunner.scala:75)\n\tat
 
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:512)\n\tat
 
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)\n\tat
 scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491)\n\tat 
scala.collection.Iterator$$anon$10.hasNext(Iterator.sca
 la:460)\n\tat 
scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)\n\tat 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
 Source)\n\tat 
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)\n\tat
 
org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43)\n\tat
 
org.apache.spark.sql.execution.datasources.v2.WritingSparkTask.$anonfun$run$1(WriteToDataSourceV2Exec.scala:438)\n\tat
 
org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1554)\n\tat
 
org.apache.spark.sql.execution.datasources.v2.WritingSparkTask.run(WriteToDataSourceV2Exec.scala:483)\n\tat
 
org.apache.spark.sql.execution.datasources.v2.WritingSparkTask.run$(WriteToDataSourceV2Exec.scala:422)\n\tat
 
org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$.run(WriteToDataSourceV2Exec.scala
 :488)\n\tat org.apache.spark.sql.execution.datasources.v2.V...\n\nJVM 
stacktrace:\norg.apache.spark.sql.streaming.StreamingQueryException: Job 
aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent 
failure: Lost task 0.0 in stage 0.0 (TID 0) 
(ip-10-110-19-234.us-west-2.compute.internal executor driver): 
org.apache.spark.api.python.PythonException: Traceback (most recent call 
last):\n  File "<stdin>", line 1, in <lambda>\nZeroDivisionError: division by 
zero\n\n\tat 
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:559)\n\tat
 
org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$2.read(PythonUDFRunner.scala:94)\n\tat
 
org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$2.read(PythonUDFRunner.scala:75)\n\tat
 
org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:512)\n\tat
 
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)\n\tat
 scala.collec
 tion.Iterator$$anon$11.hasNext(Iterator.scala:491)\n\tat 
scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)\n\tat 
scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)\n\tat 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
 Source)\n\tat 
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)\n\tat
 
org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43)\n\tat
 
org.apache.spark.sql.execution.datasources.v2.WritingSparkTask.$anonfun$run$1(WriteToDataSourceV2Exec.scala:438)\n\tat
 
org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1554)\n\tat
 
org.apache.spark.sql.execution.datasources.v2.WritingSparkTask.run(WriteToDataSourceV2Exec.scala:483)\n\tat
 
org.apache.spark.sql.execution.datasources.v2.WritingSparkTask.run$(WriteToDataSourceV2Exec.scala:
 422)\n\tat 
org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$.run(WriteToDataSourceV2Exec.scala:488)\n\tat
 org.apache.spark.sql.execution.datasources.v2.V...')
   ```


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