Enhanced MongoDB Data Processing and Debugging

📅 2024-12-26 — Session: Enhanced MongoDB Data Processing and Debugging

🕒 14:50–15:40
🏷️ Labels: Mongodb, Python, Data Processing, Debugging, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

The session aimed to enhance MongoDB data processing capabilities and address existing issues in database operations and data integrity.

Developed a Python script to connect to MongoDB and reveal collection keys, aiding in understanding email ingestion data structure.
Drafted a script to retrieve documents from MongoDB collections, focusing on key extraction without value exposure.
Introduced a processed_at timestamp field in job, task, and event processing scripts for better consistency and debugging.
Addressed serialization and classification issues in message processing, providing actionable solutions.
Outlined best practices for MongoDB document insertion, emphasizing correct serialization of _id fields.
Provided a Python snippet for inspecting MongoDB records by ID.
Debugged issues related to raw_message_id in MongoDB queries, focusing on data integrity and logging.

Enhanced understanding of MongoDB data structures and improved data processing scripts.
Implemented a new timestamp field for better data tracking and debugging.
Resolved key serialization and classification issues, improving data accuracy.

Further testing and validation of the new processed_at field across all processing scripts.
Continuous monitoring and debugging of MongoDB operations to ensure data integrity.