pyspark issue while connecting - pyspark

Question

I am new to the pyspark.
i was trying to initialize a pyspark session .
But getting the below error. I am doing the pyspark2 command in local machine .
When i tried first time using scala the spark session invokation is correct . Then i tried to invoke Pyspark that time i am getting error. Please let me know how i can come out of this error
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
22/03/08 22:55:41 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
22/03/08 22:55:41 WARN SparkContext: Another SparkContext is being constructed (or threw an exception in its constructor). This may indicate an error, since only one SparkContext should be running in this JVM (see SPARK-2243). The other SparkContext was created at:
org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:77)
java.base/jdk.internal.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
java.base/java.lang.reflect.Constructor.newInstanceWithCaller(Constructor.java:499)
java.base/java.lang.reflect.Constructor.newInstance(Constructor.java:480)
py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
py4j.Gateway.invoke(Gateway.java:238)
py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
py4j.ClientServerConnection.run(ClientServerConnection.java:106)
java.base/java.lang.Thread.run(Thread.java:833)
C:\Spark\spark-3.2.1-bin-hadoop3.2\spark-3.2.1-bin-hadoop3.2\bin\..\python\pyspark\shell.py:42: UserWarning: Failed to initialize Spark session.
warnings.warn("Failed to initialize Spark session.")
Traceback (most recent call last):
File "C:\Spark\spark-3.2.1-bin-hadoop3.2\spark-3.2.1-bin-hadoop3.2\bin\..\python\pyspark\shell.py", line 38, in <module>
spark = SparkSession._create_shell_session() # type: ignore
File "C:\Spark\spark-3.2.1-bin-hadoop3.2\spark-3.2.1-bin-hadoop3.2\python\pyspark\sql\session.py", line 553, in _create_shell_session
return SparkSession.builder.getOrCreate()
File "C:\Spark\spark-3.2.1-bin-hadoop3.2\spark-3.2.1-bin-hadoop3.2\python\pyspark\sql\session.py", line 228, in getOrCreate
sc = SparkContext.getOrCreate(sparkConf)
File "C:\Spark\spark-3.2.1-bin-hadoop3.2\spark-3.2.1-bin-hadoop3.2\python\pyspark\context.py", line 392, in getOrCreate
SparkContext(conf=conf or SparkConf())
File "C:\Spark\spark-3.2.1-bin-hadoop3.2\spark-3.2.1-bin-hadoop3.2\python\pyspark\context.py", line 146, in __init__
self._do_init(master, appName, sparkHome, pyFiles, environment, batchSize, serializer,
File "C:\Spark\spark-3.2.1-bin-hadoop3.2\spark-3.2.1-bin-hadoop3.2\python\pyspark\context.py", line 209, in _do_init
self._jsc = jsc or self._initialize_context(self._conf._jconf)
File "C:\Spark\spark-3.2.1-bin-hadoop3.2\spark-3.2.1-bin-hadoop3.2\python\pyspark\context.py", line 329, in _initialize_context
return self._jvm.JavaSparkContext(jconf)
File "C:\Spark\spark-3.2.1-bin-hadoop3.2\spark-3.2.1-bin-hadoop3.2\python\lib\py4j-0.10.9.3-src.zip\py4j\java_gateway.py", line 1585, in __call__
return_value = get_return_value(
File "C:\Spark\spark-3.2.1-bin-hadoop3.2\spark-3.2.1-bin-hadoop3.2\python\lib\py4j-0.10.9.3-src.zip\py4j\protocol.py", line 326, in get_return_value
raise Py4JJavaError(
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: java.lang.NoClassDefFoundError: Could not initialize class org.apache.spark.storage.StorageUtils$
at org.apache.spark.storage.BlockManagerMasterEndpoint.<init>(BlockManagerMasterEndpoint.scala:110)
at org.apache.spark.SparkEnv$.$anonfun$create$9(SparkEnv.scala:348)
at org.apache.spark.SparkEnv$.registerOrLookupEndpoint$1(SparkEnv.scala:287)
at org.apache.spark.SparkEnv$.create(SparkEnv.scala:336)
at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:191)
at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:277)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:460)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:77)
at java.base/jdk.internal.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.base/java.lang.reflect.Constructor.newInstanceWithCaller(Constructor.java:499)
at java.base/java.lang.reflect.Constructor.newInstance(Constructor.java:480)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:238)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.base/java.lang.Thread.run(Thread.java:833)
C:\Spark\spark-3.2.1-bin-hadoop3.2\spark-3.2.1-bin-hadoop3.2\bin>SUCCESS: The process with PID 21928 (child process of PID 14900) has been terminated.
SUCCESS: The process with PID 14900 (child process of PID 31720) has been terminated.
SUCCESS: The process with PID 31720 (child process of PID 10468) has been terminated.