Optimize Kafka Streaming Code Using More Efficient PySpark Methods

[AmirAflak]

The current implementation of the Kafka streaming code in this file could be optimized to make use of more efficient PySpark methods. This issue proposes to optimize the code to improve its performance and efficiency. Specifically, the following changes could be made:

• Use PySpark's built-in filter method instead of an if statement to remove unnecessary records from the DataFrame.
• Use PySpark's select method to select only the necessary columns from the DataFrame, instead of converting the DataFrame to an RDD and then iterating over each row.
• Use PySpark's withColumn method to add new columns to the DataFrame, instead of creating a new dictionary and appending it to a list.
• Use PySpark's foreach method instead of foreachBatch to write the processed data directly to MongoDB, instead of using a separate method to write to MongoDB.

These changes will make the code more efficient and easier to read and maintain.