Zabbix/partitioning/REFACTORING_NOTES.md

Refactoring Notes: Zabbix Partitioning Script

Overview

The zabbix_partitioning.py script has been significantly refactored to improve maintainability, reliability, and compatibility with modern Zabbix versions (7.x).

Key Changes

1. Architecture: Class-Based Structure

• Old: Procedural script with global variables and scattered logic.
• New: Encapsulated in a ZabbixPartitioner class.
• Purpose: Improves modularity, testability, and state management. Allows the script to be easily imported or extended.

2. Database Connection Management

• Change: Implemented contextlib.contextmanager for database connections.
• Purpose: Ensures database connections are robustly opened and closed, even if errors occur. Handles wait_timeout and binary logging settings automatically for every session.

3. Logging

• Change: Replaced custom print statements with Python's standard logging module.
• Purpose:
  • Allows consistent log formatting.
  • Supports configurable output destinations (Console vs Syslog) via the config file.
  • Granular log levels (INFO for standard ops, DEBUG for SQL queries).

4. Configuration Handling

• Change: Improved validation and parsing of the YAML configuration.
• Purpose:
  • Removed unused parameters (e.g., timezone, as the script relies on system local time).
  • Added support for custom database ports (critical for non-standard deployments or containerized tests).
  • Explicitly handles the replicate_sql flag to control binary logging (it was intergrated into the partitioning logic).

5. Type Safety

• Change: Added comprehensive Python type hinting (e.g., List, Dict, Optional).
• Purpose: Makes the code self-documenting and allows IDEs/linters to catch potential errors before execution.

6. Zabbix 7.x Compatibility

• Change: Added logic to verify Zabbix database version and schema requirements.
• Purpose:
  • Checks dbversion table.
  • Critical: Validates that target tables have the clock column as part of their Primary Key before attempting partitioning, preventing potential data corruption or MySQL errors.