Zabbix/partitioning/CHANGELOG.md

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[0.5.0] - 2025-12-16

Added

• Wizard: Added interactive configuration wizard (--wizard).
• CLI: Added --fast-init flag to skip table scanning during initialization, instead of config option.
• Monitoring: Added --stats argument to output JSON statistics (Size, Count, Days Left).
• Template: Updated zabbix_mysql_partitioning_template.yaml to use Master/Dependent items for efficient stats collection.

Changed

• Config: Removed initial_partitioning_start from configuration file (moved to --fast-init).
• Template: Replaced legacy check item with comprehensive stats master item.
• CLI: Removed legacy --check-days argument (replaced by --stats).

[0.4.1] - 2025-12-16

Added

• CLI: Added --verbose / -v flag to switch between INFO (default) and DEBUG logging levels.
• CLI: Added -r short flag for --dry-run.

[0.4.0] - 2025-12-16

Added

• Monitoring: Added --discovery argument for Zabbix Low-Level Discovery (LLD) of partitioned tables.
• Monitoring: Added --check-days argument to calculate days remaining until partition buffer exhaustion.
• CLI: Added --version / -V flag to display script version.
• Docker: Added RUN_MODE=discovery and RUN_MODE=check support to entrypoint.py.
• Templates: Added Zabbix 7.0 compatible template zabbix_partitioning_template.yaml.

Removed

• CLI: Removed unimplemented --delete / -d argument.

[0.3.0] - 2025-12-14

Changed

• Refactor: Complete rewrite of zabbix_partitioning.py using Class-based structure (ZabbixPartitioner).
• Configuration: Extended comments in the configuration file (zabbix_partitioning.conf). The config file is self-explanatory now.
• Docker: Introduced Docker container support (Dockerfile, entrypoint.py). The script can be run in a stateless manner using Docker.

Added

• Optimization: Added initial_partitioning_start option (db_min vs retention) to speed up initialization on large DBs.