SQL Review and High-Risk SQL Blocking | NineData

One of the most common production database risks is high-risk SQL being executed without effective review or blocking. NineData is suitable for SQL review and risk-control scenarios, helping teams block dangerous statements, standardize change workflows, and reduce operational mistakes.

Common Risks

Unindexed or inefficient queries: These can slow down core databases and affect online response time.
Dangerous change statements: Mistaken deletes, broad updates, table locks, or SQL with a large blast radius.
Missing review workflow: SQL enters production without policy checks or human confirmation.

Are there any solutions to these problems?

The answer is yes, we urgently need an automated SQL review method to replace the mechanical review work. After trying out NineData's SQL automated review feature, the company has achieved tracking and governance of SQL quality during the development phase, fundamentally avoiding the aforementioned problems and preventing online accidents.

Haven't heard of NineData SQL Automated Review?

Let me briefly introduce this NineData SQL review tool, which is specifically tailored for enterprises as a SQL release security solution. It targets the phase before the application code is released and supports the review of all SQL statements that need to be published. Based on intelligent algorithms and enterprise-configured SQL development standards, it automatically identifies and prevents problematic SQL. Only after the SQL review passes can the application be released.

NineData SQL Review has the following features:

Approval Process: Provides a comprehensive SQL approval process, supporting various process configurations such as Intelligent Pre-Review Only (suitable for low-weight businesses), Intelligent Pre-Review + Manual Review (suitable for high-weight businesses), and supports customizing reviewers and review levels.
Intelligent Pre-Review: Based on intelligent algorithms and enterprise-configured SQL development standards, it automatically identifies and prevents problematic SQL. According to the approval process configured by the administrator, it can intercept problematic SQL before entering the manual review stage, and the process can only proceed after the user has corrected the problematic SQL.
Optimization Suggestions: During the intelligent pre-review stage, the system provides optimization suggestions for the submitted SQL, including syntax, indexing, naming standards, etc., helping developers optimize the enterprise database and completely eliminate online issues.
Manual Review: In addition to intelligent pre-review, NineData SQL Review also supports manual review. After the intelligent pre-review has completed the complex mechanical review tasks, the DBA can do the final review to ensure everything is in order.

Through NineData SQL Review, the company has achieved several goals:

Accelerated Development Iteration: SQL review can quickly review a large number of SQL statements, providing rapid feedback to the development team. It helps the business iterate more quickly in line with market changes.
Improved Development Quality: Discovering and fixing SQL quality issues during the development phase can reduce the occurrence of online issues. By standardizing SQL statements, ensuring the robustness and efficiency of published SQL, and improving the overall quality of the application.
Reduced DBA Work Pressure: Handing over mechanical, repetitive review work to SQL review allows DBAs to focus more on handling more complex and advanced database management tasks, increasing work efficiency.

How to Use NineData SQL Review

Create an SQL review task.
View the intelligent pre-review suggestion overview.
View optimization suggestions for the target SQL, including Standard Review based on SQL development standards, and Index Recommendations based on AI automatic judgment.
tip
After optimizing the suggestions, you can click on Recheck on the page to see if it has been fully optimized.
Submit for manual approval.
After the administrator approves, the process is complete.