spark-connect with standalone spark cluster error

I'm trying to read stream from Kafka using pyspark.

The Stack I'm working with:

• Kubernetes.
• Stand alone spark cluster with 2 workers.
• spark-connect connected to the cluster and has the dependencies related to running spark-connect and kafka "org.apache.spark:spark-connect_2.12:3.5.1,org.apache.spark:spark-sql-kafka-0-10_2.12:3.5.1"
• Kafka cluster by strimzi operator on kubernetes.

And here is the error I'm getting:

SparkConnectGrpcException: (org.apache.spark.SparkException) Job aborted due to stage failure: Task 0 in stage 2.0 failed 4 times, most recent failure: Lost task 0.3 in stage 2.0 (TID 11) (192.168.218.135 executor 0): java.lang.ClassNotFoundException: org.apache.spark.sql.kafka010.KafkaSourceRDDPartition
    at org.apache.spark.executor.ExecutorClassLoader.findClass(ExecutorClassLoader.scala:124)
    at java.base/java.lang.ClassLoader.loadClass(ClassLoader.java:592)
    at java.base/java.lang.ClassLoader.loadClass(ClassLoader.java:525)
    at java.base/java.lang.Class.forName0(Native Method)
    at java.base/java.lang.Class.forName(Class.java:467)
    at org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:71)
    at java.base/java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:2034)
    at java.base/java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1898)
    at java.base/java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2224)
    at java.base/java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1733)
    at java.base/java.io.ObjectInputStream$FieldValues.<init>(ObjectInputStream.java:2606)
    at java.base/java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2457)
    at java.base/java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2257)
    at java.base/java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1733)
    at java.base/java.io.ObjectInputStream.readObject(ObjectInputStream.java:509)
    at java.base/java.io.ObjectInputStream.readObject(ObjectInputStream.java:467)
    at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:87)
    at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:129)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:579)
    at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
    at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
    at java.base/java.lang.Thread.run(Thread.java:840)

Here is my code:

from pyspark.sql import SparkSession
spark = SparkSession.builder.appName("test2").remote("sc://spark-master-svc.data-lab-system:15002").config("spark.executor.memory", "512m").getOrCreate()

kafka_service = "kafka-kafka-bootstrap.data-lab-system:9092"

topic_name = "pre-proccessing_posts_stream"
group_id = "spark-consumer-group3"

df = spark \
    .read \
    .format("kafka") \
    .option("kafka.bootstrap.servers", kafka_service) \
    .option("subscribe", topic_name) \
    .option("kafka.group.id", group_id) \
    .load()
    # .option("spark.jars.packages", "org.apache.spark:spark-sql-kafka-0-10_2.12:3.5.0") \

df.printSchema() \\ working and I got output from it

df.show() \\ here I got the error

This error only occurs when spark-connect connected to spark-cluster. If it work as single node everything goes well.