SQL Quality Gate for CI/CD

Audience

DevOps / platform engineering teams, DBAs, and engineering leads — the teams responsible for wiring SQL quality control into the delivery pipeline.

Problem

Application code already has unit tests, code scanning, security checks, and CI/CD — but database SQL in many organizations is still reviewed manually by DBAs. As teams scale and release cadence increases, three problems emerge:

The DBA becomes a delivery bottleneck
SQL quality check standards are hard to enforce consistently
SQL performance problems are found too late

Goal

Treat SQL like application code — give it an automated quality gate before release, turning manual approval into a repeatable, auditable gate.

Workflow

Wire PawSQL into the commit and release flow:

Dependencies

Built from the following capabilities (see each capability page for check items and rewrite logic):

SQL Quality Check

Query Rewrite

Index Recommendation

Execution Plan Analysis

Performance Validation

Success Criteria

Metric	Objective
SQL auto-review coverage	Increase
Issues found before release	Increase
DBA manual review workload	Decrease
Average SQL review time	Decrease
Critical SQL reaching production	Decrease
Production slow SQL from new releases	Decrease

Policy as Code

The gate’s core value is turning a database development standard from a document into executable policy:

Policy
├─ No DELETE / UPDATE without a predicate
├─ No full table scan on large tables
├─ No forbidden DDL
├─ Index naming convention
├─ Maximum affected rows
└─ Database-specific production rules

Standards no longer live only in a wiki or a policy document; they run directly in the delivery pipeline.

Multi-level rules

Large organizations typically need a shared baseline plus per-business differentiation:

Group level: no DELETE / UPDATE without a predicate
Core systems: high-risk DDL requires DBA approval
Internet businesses: OFFSET > 100000 flagged as a deep-pagination risk

Configurable thresholds

Configure the maximum Critical / Warning count, ignorable rules, mandatory-block rules, and per-environment policy — for example a relaxed test environment and a strict production release.

Decide the Release Action by Severity

Define a consistent severity-to-action mapping:

Severity	Action
Info	Record only
Warning	Allow with warning
Error	Require confirmation / review
Critical	Block pipeline

Connect the Gate to Your Pipeline

Integrate via REST API, Webhook, CLI / script, or DevOps platform:

GitLab CI/CD

GitHub

Tencent CODING

BlueKing Pipeline

Jenkins / GitHub Actions via OpenAPI

Explore SQL Quality Check

Review SQL standards, safety, and performance risks in CI/CD.

Explore Query Rewrite

Generate equivalent rewrites and index advice automatically.

Learn About Developer SQL Copilot

Get real-time optimization advice while writing SQL.

Request a Demo

Schedule a PawSQL product demo.

​Audience

​Problem

​Goal

​Workflow

​Dependencies