[ 
https://issues.apache.org/jira/browse/SPARK-40122?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Ihor Bobak updated SPARK-40122:
-------------------------------
    Description: 
Without any visible reason I am getting this error in my Jupyter notebook (see 
stacktrace below) with pyspark kernel. Often it occurs even if no Spark 
operations are made, e.g. when I am working with multiprocessing Pool for a 
local piece of code that should parallelize on the cores of the driver, with no 
spark transformations/actions done in that jupyter cell.


INFO:py4j.clientserver:Error while sending or receiving.
Traceback (most recent call last):
  File 
"/opt/spark-3.3.0-bin-without-hadoop/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py",
 line 503, in send_command
    self.socket.sendall(command.encode("utf-8"))
ConnectionResetError: [Errno 104] Connection reset by peer

INFO:py4j.clientserver:Closing down clientserver connection
INFO:root:Exception while sending command.
Traceback (most recent call last):
  File 
"/opt/spark-3.3.0-bin-without-hadoop/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py",
 line 503, in send_command
    self.socket.sendall(command.encode("utf-8"))
ConnectionResetError: [Errno 104] Connection reset by peer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File 
"/opt/spark-3.3.0-bin-without-hadoop/python/lib/py4j-0.10.9.5-src.zip/py4j/java_gateway.py",
 line 1038, in send_command
    response = connection.send_command(command)
  File 
"/opt/spark-3.3.0-bin-without-hadoop/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py",
 line 506, in send_command
    raise Py4JNetworkError(
py4j.protocol.Py4JNetworkError: Error while sending
INFO:py4j.clientserver:Closing down clientserver connection



  was:
Without any visible reason I am getting this error in my Jupyter notebook (see 
stacktrace below) with pyspark kernel. Often it occurs even if no Spark 
operations are made, e.g. when I am working with multiprocessing Pool for a 
local piece of code that should parallelize on the cores of the driver, with no 
spark transformations/actions done in that jupyter cell.

{{INFO:py4j.clientserver:Error while sending or receiving.
Traceback (most recent call last):
  File 
"/opt/spark-3.3.0-bin-without-hadoop/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py",
 line 503, in send_command
    self.socket.sendall(command.encode("utf-8"))
ConnectionResetError: [Errno 104] Connection reset by peer

INFO:py4j.clientserver:Closing down clientserver connection
INFO:root:Exception while sending command.
Traceback (most recent call last):
  File 
"/opt/spark-3.3.0-bin-without-hadoop/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py",
 line 503, in send_command
    self.socket.sendall(command.encode("utf-8"))
ConnectionResetError: [Errno 104] Connection reset by peer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File 
"/opt/spark-3.3.0-bin-without-hadoop/python/lib/py4j-0.10.9.5-src.zip/py4j/java_gateway.py",
 line 1038, in send_command
    response = connection.send_command(command)
  File 
"/opt/spark-3.3.0-bin-without-hadoop/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py",
 line 506, in send_command
    raise Py4JNetworkError(
py4j.protocol.Py4JNetworkError: Error while sending
INFO:py4j.clientserver:Closing down clientserver connection

}}


> py4j-0.10.9.5 often produces "Connection reset by peer"  in Spark 3.3.0
> -----------------------------------------------------------------------
>
>                 Key: SPARK-40122
>                 URL: https://issues.apache.org/jira/browse/SPARK-40122
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 3.3.0
>            Reporter: Ihor Bobak
>            Priority: Major
>
> Without any visible reason I am getting this error in my Jupyter notebook 
> (see stacktrace below) with pyspark kernel. Often it occurs even if no Spark 
> operations are made, e.g. when I am working with multiprocessing Pool for a 
> local piece of code that should parallelize on the cores of the driver, with 
> no spark transformations/actions done in that jupyter cell.
> INFO:py4j.clientserver:Error while sending or receiving.
> Traceback (most recent call last):
>   File 
> "/opt/spark-3.3.0-bin-without-hadoop/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py",
>  line 503, in send_command
>     self.socket.sendall(command.encode("utf-8"))
> ConnectionResetError: [Errno 104] Connection reset by peer
> INFO:py4j.clientserver:Closing down clientserver connection
> INFO:root:Exception while sending command.
> Traceback (most recent call last):
>   File 
> "/opt/spark-3.3.0-bin-without-hadoop/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py",
>  line 503, in send_command
>     self.socket.sendall(command.encode("utf-8"))
> ConnectionResetError: [Errno 104] Connection reset by peer
> During handling of the above exception, another exception occurred:
> Traceback (most recent call last):
>   File 
> "/opt/spark-3.3.0-bin-without-hadoop/python/lib/py4j-0.10.9.5-src.zip/py4j/java_gateway.py",
>  line 1038, in send_command
>     response = connection.send_command(command)
>   File 
> "/opt/spark-3.3.0-bin-without-hadoop/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py",
>  line 506, in send_command
>     raise Py4JNetworkError(
> py4j.protocol.Py4JNetworkError: Error while sending
> INFO:py4j.clientserver:Closing down clientserver connection



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