@haiderpasha mohammed​ :

Here's an example of how you can modify the Py4J security settings in the Spark configuration to allow the method you need to use:

# Import the required modules
from pyspark import SparkConf, SparkContext
 
# Create a new Spark configuration
conf = SparkConf()
 
# Set the Py4J security settings to allow the required method
conf.set("spark.driver.extraJavaOptions", "-Dpy4j.security.allowed.methods=com.databricks.backend.common.rpc.CommandContext.toJson")
 
# Create a new Spark context using the modified configuration
sc = SparkContext(conf=conf)

This example sets the py4j.security.allowed.methods property to include the toJson() method on the

com.databricks.backend.common.rpc.CommandContext class. You can modify this property to include any additional Py4J methods that you need to use.

Note that these changes will only affect the driver process. If you are running Spark on a cluster, you will need to ensure that these modifications are applied to all worker nodes as well. You can achieve this by setting the spark.executor.extraJavaOptions property to the same value as the spark.driver.extraJavaOptions property.

I hope this helps! Let me know if you have any further questions.