Caused by: java.net.SocketTimeoutException: Accept timed out

Question

I am getting this error while running pyspark package in pycharm using python 3.9 using this below code.

from pyspark.sql import SparkSession
from pyspark.sql.types import *
from pyspark.sql.functions import*
spark = SparkSession.builder.getOrCreate()

I'm doing data analytic want print this Dataframe out:

df = spark.createDataFrame(ds_all.cube('start_station_name').count().collect())
df = df.sort(df['count'].desc()).show(10)
print(df)

There are the error message,still have a lot of did not post it on:

ERROR TaskSetManager: Task 3 in stage 15.0 failed 1 times; 
aborting job
Traceback (most recent call last):
File "C:\Users\User\PycharmProjects\pythonProject\Case 
Study 1.py", line 67, in <module>
df = df.sort(df['count'].desc()).show(10)
File 
"C:\Users\User\PycharmProjects\pythonProject\venv\lib\site- 
packages\pyspark\sql\dataframe.py", line 494, in show
print(self._jdf.showString(n, 20, vertical))
File 
"C:\Users\User\PycharmProjects\pythonProject\venv\lib\site- 
packages\py4j\java_gateway.py", line 1321, in __call__
return_value = get_return_value(
File 
"C:\Users\User\PycharmProjects\pythonProject\venv\lib\site- 
packages\pyspark\sql\utils.py", line 111, in deco
return f(*a, **kw)
File 
"C:\Users\User\PycharmProjects\pythonProject\venv\lib\site- 
packages\py4j\protocol.py", line 326, in get_return_value
raise Py4JJavaError(
py4j.protocol.Py4JJavaError: An error occurred while 
calling o196.showString.
: org.apache.spark.SparkException: Job aborted due to stage 
failure: Task 3 in stage 15.0 failed 1 times, most recent 
failure: Lost task 3.0 in stage 15.0 (TID 105) (LAPTOP- 
OUSSK286 executor driver): org.apache.spark.SparkException: 
Python worker failed to connect back.

.....

atorg.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker
(PythonWorkerFactory.scala:188)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:108)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:121)
at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:162)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.net.SocketTimeoutException: Accept timed out
at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method)
at java.net.DualStackPlainSocketImpl.socketAccept(DualStackPlainSocketImpl.java:131)
at java.net.AbstractPlainSocketImpl.accept(AbstractPlainSocketImpl.java:535)
at java.net.PlainSocketImpl.accept(PlainSocketImpl.java:189)
at java.net.ServerSocket.implAccept(ServerSocket.java:545)
at java.net.ServerSocket.accept(ServerSocket.java:513)
at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker
(PythonWorkerFactory.scala:175)
... 32 more

I'm a novice on pyspark,already google it but couldn't find a solution to solve this error. I would appreciate if any one could help me with this,I am using Windows 11 64 bit.