Код: Выделить всё
# Imports
from pyspark.sql import SparkSession
# Create SparkSession
spark = SparkSession.builder.appName('PySpark Sample DataFrame').getOrCreate()
# Define Schema
col_schema = ["Language", "Version"]
# Prepare Data
Data = (("Jdk","17.0.12"), ("Python", "3.11.9"), ("Spark", "3.5.1"), \
("Hadoop", "3.3 and later"), ("Winutils", "3.6"), \
)
# Create DataFrame
df = spark.createDataFrame(data = Data, schema = col_schema)
df.printSchema()
df.show(5,truncate=False)
. До сих пор я:
[list]
[*]Использовал Python 3.11.8 https://stackoverflow.com/a/78157930/5653263
[*]Понижение до JDK 17: https://stackoverflow.com/a/76432417/5653263
[/list]
По-прежнему появляется следующая ошибка:
PS C:\...> & c:/.../python.exe "c:/.../test.py"
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
24/11/16 16:40:37 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
root
|-- Language: string (nullable = true)
|-- Version: string (nullable = true)
24/11/16 16:40:42 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)/ 1]
java.net.SocketException: Connection reset
at java.base/sun.nio.ch.NioSocketImpl.implRead(NioSocketImpl.java:328)
at java.base/sun.nio.ch.NioSocketImpl.read(NioSocketImpl.java:355)
at java.base/sun.nio.ch.NioSocketImpl$1.read(NioSocketImpl.java:808)
at java.base/java.net.Socket$SocketInputStream.read(Socket.java:966)
at java.base/java.io.BufferedInputStream.fill(BufferedInputStream.java:244)
at java.base/java.io.BufferedInputStream.read(BufferedInputStream.java:263)
at java.base/java.io.DataInputStream.readInt(DataInputStream.java:393)
at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:774)
at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:766)
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:525)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:893)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:893)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:331)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)
at org.apache.spark.scheduler.Task.run(Task.scala:141)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
at java.base/java.lang.Thread.run(Thread.java:842)
24/11/16 16:40:42 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0) (Laptop executor driver): java.net.SocketException: Connection reset
at java.base/sun.nio.ch.NioSocketImpl.implRead(NioSocketImpl.java:328)
at java.base/sun.nio.ch.NioSocketImpl.read(NioSocketImpl.java:355)
at java.base/sun.nio.ch.NioSocketImpl$1.read(NioSocketImpl.java:808)
at java.base/java.net.Socket$SocketInputStream.read(Socket.java:966)
at java.base/java.io.BufferedInputStream.fill(BufferedInputStream.java:244)
at java.base/java.io.BufferedInputStream.read(BufferedInputStream.java:263)
at java.base/java.io.DataInputStream.readInt(DataInputStream.java:393)
at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:774)
at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:766)
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:525)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:893)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:893)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:331)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)
at org.apache.spark.scheduler.Task.run(Task.scala:141)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
at java.base/java.lang.Thread.run(Thread.java:842)
24/11/16 16:40:42 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job
Traceback (most recent call last):
File "c:\...\test.py", line 18, in
df.show(5,truncate=False)
File "C:\...\Python\Python312\Lib\site-packages\pyspark\sql\dataframe.py", line 947, in show
print(self._show_string(n, truncate, vertical))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\...\Python\Python312\Lib\site-packages\pyspark\sql\dataframe.py", line 978, in _show_string
return self._jdf.showString(n, int_truncate, vertical)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\...\Python\Python313\Lib\site-packages\py4j\java_gateway.py", line 1322, in __call__
return_value = get_return_value(
^^^^^^^^^^^^^^^^^
File "C:\...\Python\Python312\Lib\site-packages\pyspark\errors\exceptions\captured.py", line 179, in deco
return f(*a, **kw)
^^^^^^^^^^^
File "C:\...\Python\Python312\Lib\site-packages\py4j\protocol.py", line 326, in get_return_value
raise Py4JJavaError(
py4j.protocol.Py4JJavaError: An error occurred while calling o42.showString.
: org.apache.spark.SparkException: 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) (Laptop executor driver): java.net.SocketException: C o n n e c t i o n r e s e t < b r / > a t j a v a . b a s e / s u n . n i o . c h . N i o S o c k e t I m p l . i m p l R e a d ( N i o S o c k e t I m p l . j a v a : 3 2 8 ) < b r / > a t j a v a . b a s e / s u n . n i o . c h . N i o S o c k e t I m p l . r e a d ( N i o S o c k e t I m p l . j a v a : 3 5 5 ) < b r / > a t j a v a . b a s e / s u n . n i o . c h . N i o S o c k e t I m p l $ 1 . r e a d ( N i o S o c k e t I m p l . j a v a : 8 0 8 ) < b r / > a t j a v a . b a s e / j a v a . n e t . S o c k e t $ S o c k e t I n p u t S t r e a m . r e a d ( S o c k e t . j a v a : 9 6 6 ) < b r / > a t j a v a . b a s e / j a v a . i o . B u f f e r e d I n p u t S t r e a m . f i l l ( B u f f e r e d I n p u t S t r e a m . j a v a : 2 4 4 ) < b r / > a t j a v a . b a s e / j a v a . i o . B u f f e r e d I n p u t S t r e a m . r e a d ( B u f f e r e d I n p u t S t r e a m . j a v a : 2 6 3 ) < b r / > a t j a v a . b a s e / j a v a . i o . D a t a I n p u t S t r e a m . r e a d I n t ( D a t a I n p u t S t r e a m . j a v a : 3 9 3 ) < b r / > a t o r g . a p a c h e . s p a r k . a p i . p y t h o n . P y t h o n R u n n e r $ $ a n o n $ 3 . r e a d ( P y t h o n R u n n e r . s c a l a : 7 7 4 ) < b r / > a t o r g . a p a c h e . s p a r k . a p i . p y t h o n . P y t h o n R u n n e r $ $ a n o n $ 3 . r e a d ( P y t h o n R u n n e r . s c a l a : 7 6 6 ) < b r / > a t o r g . a p a c h e . s p a r k . a p i . p y t h o n . B a s e P y t h o n R u n n e r $ R e a d e r I t e r a t o r . h a s N e x t ( P y t h o n R u n n e r . s c a l a : 5 2 5 ) < b r / > a t o r g . a p a c h e . s p a r k . I n t e r r u p t i b l e I t e r a t o r . h a s N e x t ( I n t e r r u p t i b l e I t e r a t o r . s c a l a : 3 7 ) < b r / > a t s c a l a . c o l l e c t i o n . I t e r a t o r $ $ a n o n $ 1 1 . h a s N e x t ( I t e r a t o r . s c a l a : 4 9 1 ) < b r / > a t s c a l a . c o l l e c t i o n . I t e r a t o r $ $ a n o n $ 1 0 . h a s N e x t ( I t e r a t o r . s c a l a : 4 6 0 ) < b r / > a t s c a l a . c o l l e c t i o n . I t e r a t o r $ $ a n o n $ 1 0 . h a s N e x t ( I t e r a t o r . s c a l a : 4 6 0 ) < b r / > a t o r g . a p a c h e . s p a r k . s q l . c a t a l y s t . e x p r e s s i o n s . G e n e r a t e d C l a s s $ G e n e r a t e d I t e r a t o r F o r C o d e g e n S t a g e 1 . p r o c e s s N e x t ( U n k n o w n S o u r c e ) < b r / > a t o r g . a p a c h e . s p a r k . s q l . e x e c u t i o n . B u f f e r e d R o w I t e r a t o r . h a s N e x t ( B u f f e r e d R o w I t e r a t o r . j a v a : 4 3 ) < b r / > a t o r g . a p a c h e . s p a r k . s q l . e x e c u t i o n . W h o l e S t a g e C o d e g e n E v a l u a t o r F a c t o r y $ W h o l e S t a g e C o d e g e n P a r t i t i o n E v a l u a t o r $ $ a n o n $ 1 . h a s N e x t ( W h o l e S t a g e C o d e g e n E v a l u a t o r F a c t o r y . s c a l a : 4 3 ) < b r / > a t o r g . a p a c h e . s p a r k . s q l . e x e c u t i o n . S p a r k P l a n . $ a n o n f u n $ g e t B y t e A r r a y R d d $ 1 ( S p a r k P l a n . s c a l a : 3 8 8 ) < b r / > a t o r g . a p a c h e . s p a r k . r d d . R D D . $ a n o n f u n $ m a p P a r t i t i o n s I n t e r n a l $ 2 ( R D D . s c a l a : 8 9 3 ) < b r / > a t o r g . a p a c h e . s p a r k . r d d . R D D . $ a n o n f u n $ m a p P a r t i t i o n s I n t e r n a l $ 2 $ a d a p t e d ( R D D . s c a l a : 8 9 3 ) < b r / > a t o r g . a p a c h e . s p a r k . r d d . M a p P a r t i t i o n s R D D . c o m p u t e ( M a p P a r t i t i o n s R D D . s c a l a : 5 2 ) < b r / > a t o r g . a p a c h e . s p a r k . r d d . R D D . c o m p u t e O r R e a d C h e c k p o i n t ( R D D . s c a l a : 3 6 7 ) < b r / > a t o r g . a p a c h e . s p a r k . r d d . R D D . i t e r a t o r ( R D D . s c a l a : 3 3 1 ) < b r / > a t o r g . a p a c h e . s p a r k . s c h e d u l e r . R e s u l t T a s k . r u n T a s k ( R e s u l t T a s k . s c a l a : 9 3 ) < b r / > a t o r g . a p a c h e . s p a r k . T a s k C o n t e x t . r u n T a s k W i t h L i s t e n e r s ( T a s k C o n t e x t . s c a l a : 1 6 6 ) < b r / > a t o r g . a p a c h e . s p a r k . s c h e d u l e r . T a s k . r u n ( T a s k . s c a l a : 1 4 1 ) < b r / > a t o r g . a p a c h e . s p a r k . e x e c u t o r . E x e c u t o r $ T a s k R u n n e r . $ a n o n f u n $ r u n $ 4 ( E x e c u t o r . s c a l a : 6 2 0 ) < b r / > a t o r g . a p a c h e . s p a r k . u t i l . S p a r k E r r o r U t i l s . t r y W i t h S a f e F i n a l l y ( S p a r k E r r o r U t i l s . s c a l a :64)
at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
at java.base/java.lang.Thread.run(Thread.java:842)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2856)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2792)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2791)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2791)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1247)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1247)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1247)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:3060)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2994)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2983)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:989)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2393)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2414)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2433)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:530)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:483)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:61)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:4333)
at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:3316)
at org.apache.spark.sql.Dataset.$anonfun$withAction$2(Dataset.scala:4323)
at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:546)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:4321)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:4321)
at org.apache.spark.sql.Dataset.head(Dataset.scala:3316)
at org.apache.spark.sql.Dataset.take(Dataset.scala:3539)
at org.apache.spark.sql.Dataset.getRows(Dataset.scala:280)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:315)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:568)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.base/java.lang.Thread.run(Thread.java:842)
Caused by: java.net.SocketException: Connection reset
at java.base/sun.nio.ch.NioSocketImpl.implRead(NioSocketImpl.java:328)
at java.base/sun.nio.ch.NioSocketImpl.read(NioSocketImpl.java:355)
at java.base/sun.nio.ch.NioSocketImpl$1.read(NioSocketImpl.java:808)
at java.base/java.net.Socket$SocketInputStream.read(Socket.java:966)
at java.base/java.io.BufferedInputStream.fill(BufferedInputStream.java:244)
at java.base/java.io.BufferedInputStream.read(BufferedInputStream.java:263)
at java.base/java.io.DataInputStream.readInt(DataInputStream.java:393)
at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:774)
at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:766)
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:525)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:893)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:893)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:331)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)
at org.apache.spark.scheduler.Task.run(Task.scala:141)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
... 1 more
PS C:\...\> SUCCESS: The process with PID 24468 (child process of PID 3840) has been terminated.
SUCCESS: The process with PID 3840 (child process of PID 29208) has been terminated.
SUCCESS: The process with PID 29208 (child process of PID 29332) has been terminated.
- Windows: 10.0.19045.5011 x64
< /li>
JDK: 17.0.12 - Python: 3.11.8
- Spark: 3.5.3
- Hadoop (Winutils): 3.3. 6 (https://github.com/cdarlint/winutils/tr ... -3.3.6/bin)
Подробнее здесь: https://stackoverflow.com/questions/792 ... on-windows
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