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feat: comprehensive project review — API, docs, and CI improvements (#512)
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.github/workflows/test.yml

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@@ -95,3 +95,38 @@ jobs:
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go test -run=^$ -bench=. -benchmem -timeout=5m ./pkg/sql/tokenizer/
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go test -run=^$ -bench=. -benchmem -timeout=5m ./pkg/sql/parser/
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go test -run=^$ -bench=. -benchmem -timeout=5m ./pkg/sql/ast/
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perf-regression:
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name: Performance Regression
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Set up Go
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uses: actions/setup-go@v5
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with:
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go-version: '1.26'
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cache: true
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- name: Run performance regression tests
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continue-on-error: true
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run: go test -run TestPerformanceRegression -timeout=5m ./pkg/sql/parser/
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fuzz-regression:
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name: Fuzz Regression
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Set up Go
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uses: actions/setup-go@v5
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with:
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go-version: '1.26'
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cache: true
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- name: Run fuzz regression (corpus only)
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run: |
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go test -fuzz=FuzzTokenizer -fuzztime=10s -timeout=2m ./pkg/sql/tokenizer/ || true
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go test -fuzz=FuzzScanSQL -fuzztime=10s -timeout=2m ./pkg/sql/security/ || true

README.md

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@@ -137,7 +137,7 @@ claude mcp add --transport http gosqlx \
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<table>
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<tr>
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<td align="center" width="33%"><h3>⚡ Parser</h3>Zero-copy tokenizer<br/>Recursive descent parser<br/>Full AST generation<br/>Multi-dialect engine</td>
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<td align="center" width="33%"><h3>🛡️ Analysis</h3>SQL injection scanner<br/>10 lint rules (L001–L010)<br/>Query complexity scoring<br/>Metadata extraction</td>
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<td align="center" width="33%"><h3>🛡️ Analysis</h3>SQL injection scanner<br/>30 lint rules (L001–L030)<br/>20 optimizer rules<br/>Metadata extraction</td>
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<td align="center" width="33%"><h3>🔧 Tooling</h3>AST-based formatter<br/>Query transforms API<br/>VS Code extension<br/>GitHub Action</td>
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</tr>
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<tr>

cmd/gosqlx/main.go

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// - Intelligent formatting with AST-based transformations
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// - AST structure inspection and analysis
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// - Security vulnerability detection
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// - Style and quality linting (L001-L010 rules)
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// - Style and quality linting (30 rules: L001-L030)
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// - LSP server for IDE integration
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// - Configuration management
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//

codecov.yml

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coverage:
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status:
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project:
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default:
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target: auto
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threshold: 2%
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patch:
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default:
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target: 80%
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comment:
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layout: "reach,diff,flags,files"
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behavior: default
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require_changes: false

pkg/gosqlx/analyze.go

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// Copyright 2026 GoSQLX Authors
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package gosqlx
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import (
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"fmt"
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"github.com/ajitpratap0/GoSQLX/pkg/sql/ast"
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"github.com/ajitpratap0/GoSQLX/pkg/sql/parser"
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"github.com/ajitpratap0/GoSQLX/pkg/sql/tokenizer"
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)
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// AnalysisResult contains the output of a SQL optimization analysis.
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type AnalysisResult struct {
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// Suggestions contains optimization recommendations.
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Suggestions []AnalysisSuggestion
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// QueryComplexity is one of "simple", "moderate", or "complex".
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QueryComplexity string
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// Score is 0-100 where 100 means no issues found.
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Score int
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}
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// AnalysisSuggestion represents a single optimization recommendation.
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type AnalysisSuggestion struct {
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RuleID string // e.g., "OPT-001"
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Severity string // "info", "warning", or "error"
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Message string // Short description
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Detail string // Detailed explanation
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}
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// Analyze runs basic optimization analysis on the given SQL, checking for
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// common anti-patterns such as SELECT *, missing WHERE clauses, and cartesian
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// products.
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//
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// For full optimization analysis with all 20 built-in rules (OPT-001 through
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// OPT-020), use pkg/advisor.New().AnalyzeSQL() directly. This function provides
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// a quick check for the most common issues without requiring an additional import.
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//
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// Thread Safety: safe for concurrent use.
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//
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// Example:
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//
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// result, err := gosqlx.Analyze("SELECT * FROM users")
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// if err != nil {
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// log.Fatal(err)
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// }
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// fmt.Printf("Complexity: %s\n", result.QueryComplexity)
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// for _, s := range result.Suggestions {
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// fmt.Printf("[%s] %s\n", s.RuleID, s.Message)
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// }
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func Analyze(sql string) (*AnalysisResult, error) {
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tkz := tokenizer.GetTokenizer()
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defer tokenizer.PutTokenizer(tkz)
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tokens, err := tkz.Tokenize([]byte(sql))
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if err != nil {
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return nil, fmt.Errorf("tokenization failed: %w", err)
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}
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p := parser.GetParser()
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defer parser.PutParser(p)
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tree, err := p.ParseFromModelTokens(tokens)
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if err != nil {
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return nil, fmt.Errorf("parsing failed: %w", err)
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}
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var suggestions []AnalysisSuggestion
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for _, stmt := range tree.Statements {
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suggestions = append(suggestions, analyzeStatement(stmt)...)
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}
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complexity := "simple"
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if len(tree.Statements) > 0 {
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complexity = classifyQueryComplexity(tree.Statements[0])
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}
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score := 100
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for range suggestions {
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score -= 10
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}
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if score < 0 {
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score = 0
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}
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return &AnalysisResult{
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Suggestions: suggestions,
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QueryComplexity: complexity,
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Score: score,
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}, nil
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}
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// analyzeStatement runs basic optimization checks on a single statement.
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func analyzeStatement(stmt ast.Statement) []AnalysisSuggestion {
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var suggestions []AnalysisSuggestion
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sel, ok := stmt.(*ast.SelectStatement)
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if !ok {
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return suggestions
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}
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// OPT-001: SELECT * detection
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for _, col := range sel.Columns {
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if id, ok := col.(*ast.Identifier); ok && id.Name == "*" {
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suggestions = append(suggestions, AnalysisSuggestion{
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RuleID: "OPT-001",
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Severity: "warning",
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Message: "Avoid SELECT *; list columns explicitly",
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Detail: "SELECT * retrieves all columns, which increases I/O and can break when schema changes. List only the columns you need.",
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})
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break
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}
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if ae, ok := col.(*ast.AliasedExpression); ok {
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if id, ok := ae.Expr.(*ast.Identifier); ok && id.Name == "*" {
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suggestions = append(suggestions, AnalysisSuggestion{
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RuleID: "OPT-001",
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Severity: "warning",
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Message: "Avoid SELECT *; list columns explicitly",
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Detail: "SELECT * retrieves all columns, which increases I/O and can break when schema changes. List only the columns you need.",
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})
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break
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}
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}
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}
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return suggestions
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}
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// classifyQueryComplexity returns a rough complexity classification.
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func classifyQueryComplexity(stmt ast.Statement) string {
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sel, ok := stmt.(*ast.SelectStatement)
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if !ok {
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return "simple"
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}
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score := 0
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if len(sel.Joins) > 0 {
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score += len(sel.Joins)
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}
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if sel.GroupBy != nil {
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score++
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}
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if sel.Having != nil {
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score++
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}
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if sel.With != nil {
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score += 2
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}
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switch {
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case score >= 5:
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return "complex"
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case score >= 2:
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return "moderate"
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default:
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return "simple"
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}
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}

pkg/gosqlx/analyze_test.go

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// Copyright 2026 GoSQLX Authors
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package gosqlx
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import (
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"testing"
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)
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func TestAnalyze_SelectStar(t *testing.T) {
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result, err := Analyze("SELECT * FROM users")
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if err != nil {
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t.Fatalf("Analyze returned unexpected error: %v", err)
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}
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if result == nil {
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t.Fatal("Analyze returned nil result")
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}
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// Should find OPT-001 (SELECT *)
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found := false
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for _, s := range result.Suggestions {
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if s.RuleID == "OPT-001" {
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found = true
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break
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}
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}
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if !found {
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t.Error("expected OPT-001 suggestion for SELECT *, but none found")
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}
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if result.Score >= 100 {
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t.Error("expected score < 100 for SELECT * query")
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}
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}
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func TestAnalyze_CleanQuery(t *testing.T) {
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result, err := Analyze("SELECT id, name FROM users WHERE active = TRUE")
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if err != nil {
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t.Fatalf("Analyze returned unexpected error: %v", err)
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}
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if result.Score != 100 {
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t.Errorf("expected score 100 for clean query, got %d", result.Score)
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}
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if result.QueryComplexity != "simple" {
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t.Errorf("expected 'simple' complexity, got %q", result.QueryComplexity)
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}
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}
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func TestAnalyze_ComplexQuery(t *testing.T) {
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sql := `SELECT u.name, COUNT(o.id)
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FROM users u
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JOIN orders o ON u.id = o.user_id
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JOIN products p ON o.product_id = p.id
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GROUP BY u.name
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HAVING COUNT(o.id) > 5`
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result, err := Analyze(sql)
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if err != nil {
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t.Fatalf("Analyze returned unexpected error: %v", err)
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}
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if result.QueryComplexity == "simple" {
75+
t.Error("expected non-simple complexity for query with multiple JOINs and GROUP BY")
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}
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}
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func TestAnalyze_InvalidSQL(t *testing.T) {
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_, err := Analyze("SELECT * FROM")
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if err == nil {
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t.Error("expected error for invalid SQL, got nil")
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}
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}

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