SQLE 1.2210.0-pre1 Release Notes: New MySQL Audit Rules, Enhanced Scanning Filters, and UI Improvements
The SQLE 1.2210.0-pre1 preview release introduces new MySQL audit rules prohibiting rename/change operations and requiring LIMIT clauses, adds filter options to the intelligent scan task list, refines work‑order progress styling, and provides a detailed list of features, optimizations, and bug fixes.
SQL audit tool SQLE 1.2210.0-pre1 has been released as a preview version, offering new functionalities for database users and administrators while noting that it is not guaranteed to upgrade smoothly.
Project Introduction – SQLE is an open‑source SQL audit platform supporting multiple scenarios, standardized release processes, native MySQL auditing, and extensible database types.
New Version Main Features
1. Added MySQL audit rules
(1) Prohibit using rename or change to modify table or column names; such operations require DBA intervention.
(2) Require a LIMIT clause on SELECT statements, with a default maximum of 1000 rows, to prevent performance‑impacting full‑table scans.
2. Intelligent scan task list filter
New filter criteria are added to the scan task list, enabling users to quickly locate specific tasks when many scans exist.
3. Work‑order progress UI optimization
The progress display has been adjusted to accommodate multiple data sources, improving visual clarity.
Complete Release Information
Features
[#850] Added MySQL audit rule to forbid rename / change commands.
[#816] Added MySQL rule “SELECT must have LIMIT, default 1000”.
Optimizations
[#925] Clicking “SQL Workbench” now opens CloudBeaver when configured.
[#923] Added filter conditions to the intelligent scan task list.
[#902] Optimized work‑order progress styling.
Fixes
[#883] Fixed duplicate table information display for certain SQL analyses (Enterprise edition).
[#880] Fixed issue preventing user email deletion.
Additional resources include the project repository, documentation, release page, plugin development guide, and online demo links for both community and enterprise editions.
Previous versions and recommended reading links are provided for deeper insight into SQL development rules and SQLE usage.
Signed-in readers can open the original source through BestHub's protected redirect.
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