Integration of apache spark and Kafka on eclipse pyspark

[aupres]

These are my development environments to integrate kafka and spark.

IDE : eclipse 2020-12
python : Anaconda 2020.02 (Python 3.7)
kafka : 2.13-2.7.0
spark : 3.0.1-bin-hadoop3.2

My eclipse configuration reference site is here. Simple codes of spark pyspark work successfully without errors. But integration of kafka and spark structured streaming brings the errors. These are the codes.

from pyspark.sql import SparkSession

spark = SparkSession.builder.master("local[*]").appName("appName").getOrCreate()
df = spark.read.format("kafka")\
            .option("kafka.bootstrap.servers", "localhost:9092")\
            .option("subscribe", "topicForMongoDB")\
            .option("startingOffsets", "earliest")\
            .load()\
            .selectExpr("CAST(value AS STRING) as column")
df.printSchema()
df.show()

The thrown Errors are

Error:
pyspark.sql.utils.AnalysisException: Failed to find data source: kafka. Please deploy the application as per the deployment section of "Structured Streaming + Kafka Integration Guide".;

So I insert python codes which bind the related jar files.

import os

os.environ['PYSPARK_SUBMIT_ARGS'] = '--packages org.apache.spark:spark-sql-kafka-0-10_2.12:3.1.0,org.apache.spark:spark-streaming-kafka-0-10_2.12:3.1.0'

But this time another errors occurs.

Error:
Error: Missing application resource.

Usage: spark-submit [options] <app jar | python file | R file> [app arguments]
Usage: spark-submit --kill [submission ID] --master [spark://...]
Usage: spark-submit --status [submission ID] --master [spark://...]
Usage: spark-submit run-example [options] example-class [example args]

Options:
  --master MASTER_URL         spark://host:port, mesos://host:port, yarn,
                              k8s://https://host:port, or local (Default: local[*]).
  --deploy-mode DEPLOY_MODE   Whether to launch the driver program locally ("client") or
                              on one of the worker machines inside the cluster ("cluster")
                              (Default: client).
  --class CLASS_NAME          Your application's main class (for Java / Scala apps).
  --name NAME                 A name of your application.
  --jars JARS                 Comma-separated list of jars to include on the driver
                              and executor classpaths.
  --packages                  Comma-separated list of maven coordinates of jars to include
                              on the driver and executor classpaths. Will search the local
                              maven repo, then maven central and any additional remote
                              repositories given by --repositories. The format for the
                              coordinates should be groupId:artifactId:version.

I am stuck here. My eclipse configuration and pyspark codes have some issues. But I have no idea what causes the errors. Kindly inform me of the integration configuration of kafka and spark pyspark. Any reply will be welcomed.

[Serafim]

Removed, no new info.