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feat: Add multi-column USING clause support in JOINs (closes #70)#98

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ajitpratap0 merged 9 commits into
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feat/multi-column-using-issue-70
Nov 16, 2025
Merged

feat: Add multi-column USING clause support in JOINs (closes #70)#98
ajitpratap0 merged 9 commits into
mainfrom
feat/multi-column-using-issue-70

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Summary

Implements support for multi-column USING clauses in JOIN statements for SQL-92 compliance.

Changes

Parser Modifications

  • Modified parseJoinClause() in pkg/sql/parser/parser.go to parse comma-separated column lists
  • Single columns stored as Identifier (backward compatible)
  • Multiple columns stored as ListExpression
  • Removed TODO comment about this limitation

Test Coverage

Added 16 comprehensive test cases in pkg/sql/parser/join_test.go:

  • 6 basic functionality tests (single/multiple columns, different JOIN types)
  • 6 edge case tests (empty USING, trailing commas, syntax errors)
  • 4 complex query tests (multiple JOINs, mixed ON/USING, WHERE/ORDER BY)

Examples

Before (unsupported):

-- Would fail to parse
SELECT * FROM users JOIN orders USING (user_id, account_id)

After (supported):

-- Single column (backward compatible)
SELECT * FROM users JOIN orders USING (id)

-- Multiple columns (NEW)
SELECT * FROM users JOIN orders USING (user_id, account_id)
SELECT * FROM users LEFT JOIN orders USING (id, name, category)

Testing

✅ All 16 new tests pass
✅ All existing parser tests pass (backward compatibility)
✅ Race detection enabled: go test -race ./pkg/sql/parser/
✅ Pre-commit hooks passed

SQL-92 Compliance

This change brings GoSQLX into full compliance with SQL-92 standard for multi-column USING clauses.

Backward Compatibility

✅ Fully backward compatible - single-column USING clauses work exactly as before

Closes #70

🤖 Generated with Claude Code

Co-Authored-By: Claude noreply@anthropic.com

Ajit Pratap Singh and others added 9 commits November 16, 2025 21:36
Implement comprehensive stdin/stdout pipeline support for all CLI commands
(validate, format, analyze, parse) with Unix pipeline conventions and
cross-platform compatibility.

Features:
- Auto-detection: Commands automatically detect piped input
- Explicit stdin: Support "-" as stdin marker for all commands
- Input redirection: Full support for "< file.sql" syntax
- Broken pipe handling: Graceful handling of Unix EPIPE errors
- Security: 10MB input limit to prevent DoS attacks
- Cross-platform: Works on Unix/Linux/macOS and Windows PowerShell

Implementation:
- Created stdin_utils.go with pipeline utilities:
  - IsStdinPipe(): Detects piped input using golang.org/x/term
  - ReadFromStdin(): Reads from stdin with size limits
  - GetInputSource(): Unified input detection (stdin/file/direct SQL)
  - WriteOutput(): Handles stdout and file output with broken pipe detection
  - DetectInputMode(): Determines input mode based on args and stdin state
  - ValidateStdinInput(): Security validation for stdin content

- Updated all commands with stdin support:
  - validate.go: Stdin validation with temp file approach
  - format.go: Stdin formatting (blocks -i flag appropriately)
  - analyze.go: Stdin analysis with direct content processing
  - parse.go: Stdin parsing with direct content processing

- Dependencies:
  - Added golang.org/x/term for stdin detection

- Testing:
  - Unit tests: stdin_utils_test.go with comprehensive coverage
  - Integration tests: pipeline_integration_test.go for real pipeline testing
  - Manual testing: Validated echo, cat, and redirect operations

- Documentation:
  - Updated README.md with comprehensive pipeline examples
  - Unix/Linux/macOS and Windows PowerShell examples
  - Git hooks integration examples

Usage Examples:
  echo "SELECT * FROM users" | gosqlx validate
  cat query.sql | gosqlx format
  gosqlx validate -
  gosqlx format < query.sql
  cat query.sql | gosqlx format | gosqlx validate

Cross-platform:
  # Unix/Linux/macOS
  cat query.sql | gosqlx format | tee formatted.sql | gosqlx validate

  # Windows PowerShell
  Get-Content query.sql | gosqlx format | Set-Content formatted.sql
  "SELECT * FROM users" | gosqlx validate

Security:
- 10MB stdin size limit (MaxStdinSize constant)
- Binary data detection (null byte check)
- Input validation before processing
- Temporary file cleanup in validate command

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
Resolved dependency conflicts in go.mod and go.sum:
- Kept newer golang.org/x/sys v0.38.0 (was v0.13.0 in main)
- Kept golang.org/x/term v0.37.0 (required for stdin/stdout pipeline)
- Added fsnotify v1.9.0 from watch mode feature
- Reorganized dependencies after go mod tidy

All tests passing after merge.
Fixed 3 critical issues causing all CI builds/tests to fail:

1. Go Version Format (Fixes: Build, Test, Vulnerability Check failures)
   - Changed go.mod from 'go 1.24.0' (three-part) to 'go 1.24' (two-part)
   - Three-part format not supported by Go 1.19/1.20 toolchains in CI
   - Error: 'invalid go version 1.24.0: must match format 1.23'

2. Lint Error SA9003 (Fixes: Lint job failure)
   - Fixed empty else branch in cmd/gosqlx/cmd/format.go:169-173
   - Removed unnecessary else block while preserving same behavior
   - Staticcheck SA9003: empty branch warning resolved

3. Workflow Go Version Mismatch (Fixes: Security scan failures)
   - Updated .github/workflows/security.yml to use Go 1.24
   - Both GoSec and GovulnCheck jobs now use Go 1.24
   - Matches project requirements for golang.org/x/term v0.37.0

All changes maintain backward compatibility and functionality.

Related: #65 (stdin/stdout pipeline feature)
Updated Go version across all GitHub Actions workflows to match go.mod requirements:

- .github/workflows/go.yml: Changed build matrix from [1.19, 1.20, 1.21] to [1.24]
- .github/workflows/test.yml: Changed test matrix from [1.19, 1.20, 1.21] to [1.24]
- .github/workflows/test.yml: Changed benchmark job from 1.21 to 1.24
- .github/workflows/lint.yml: Changed from 1.21 to 1.24

This fixes all remaining CI failures caused by incompatibility between:
- Project dependencies (golang.org/x/term v0.37.0) requiring Go 1.24
- Old workflow configurations using Go 1.19-1.21

Related: PR #97, Issue #65
Running go mod tidy updates go.mod format to go 1.24.0 (three-part)
which is the standard format for Go 1.24+. This resolves build failures
caused by out-of-sync go.mod and go.sum files.

Note: Go 1.24 supports both two-part (1.24) and three-part (1.24.0)
formats, but go mod tidy standardizes on three-part format.
- Replace hardcoded /tmp/ path with os.TempDir()
- Add path/filepath import for filepath.Join
- Fixes Windows test failure in TestWriteOutput
Implements SQL-92 compliant multi-column USING support for JOIN operations.

Changes:
- Modified parser.go to parse comma-separated column lists in USING clause
- Added logic to store single columns as Identifier (backward compatibility)
- Added logic to store multiple columns as ListExpression
- Added comprehensive test coverage for multi-column USING

Tests Added:
- TestParser_MultiColumnUSING: Tests single and multi-column USING with various JOIN types
- TestParser_MultiColumnUSINGEdgeCases: Tests error handling for invalid syntax
- TestParser_MultiColumnUSINGWithComplexQueries: Tests integration with WHERE, ORDER BY, LIMIT

Examples:
- Single column: JOIN table2 USING (id)
- Multiple columns: JOIN table2 USING (id, name, category)

All existing tests pass with race detection enabled.
Maintains full backward compatibility with single-column USING.

Generated with Claude Code (https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
@claude
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claude Bot commented Nov 16, 2025

Claude finished @ajitpratap0's task —— View job


PR Review: Multi-Column USING Clause Support

Completed comprehensive review of this PR implementing multi-column USING clause support for SQL-92 compliance.

✅ Overall Assessment: EXCELLENT IMPLEMENTATION

This is a well-crafted PR that demonstrates strong engineering practices and attention to detail.

🔍 Code Quality Analysis

Parser Implementation (pkg/sql/parser/parser.go:899-941)

  • ✅ Clean Logic: The USING clause parsing logic is well-structured and readable
  • ✅ Backward Compatible: Single columns stored as Identifier, multiple as ListExpression
  • ✅ Error Handling: Comprehensive error messages with clear expectations
  • ✅ Code Comments: Good inline documentation explaining the logic flow

Potential Minor Improvement:

// Consider extracting column parsing into a helper function for better readability:
func (p *Parser) parseUsingColumnList() ([]ast.Expression, error) {
    // Move lines 913-927 here for better separation of concerns
}

🧪 Test Coverage: Exemplary

The test suite is exceptionally comprehensive with 16 test cases covering:

Functional Tests (pkg/sql/parser/join_test.go:560-688)

  • ✅ Single column backward compatibility
  • ✅ Multi-column scenarios (2, 3, 4+ columns)
  • ✅ All JOIN types (INNER, LEFT, RIGHT, FULL OUTER)
  • ✅ Complex queries with WHERE/ORDER BY clauses

Edge Case Tests (pkg/sql/parser/join_test.go:689-778)

  • ✅ Empty USING clause detection
  • ✅ Trailing comma error handling
  • ✅ Missing parentheses validation
  • ✅ Proper error message verification

Integration Tests (pkg/sql/parser/join_test.go:779-864)

  • ✅ Multiple JOINs with multi-column USING
  • ✅ Mixed ON/USING clause scenarios
  • ✅ Complex query combinations

🚀 CLI Enhancements

Security Improvements (cmd/gosqlx/cmd/stdin_utils.go)

  • ✅ DoS Protection: 10MB limit on stdin input prevents resource exhaustion
  • ✅ Input Validation: Proper empty content detection
  • ✅ Error Handling: Clear error messages for various failure scenarios

User Experience (cmd/gosqlx/cmd/*.go)

  • ✅ Stdin Detection: Smart pipe detection for better CLI ergonomics
  • ✅ Integration Testing: Comprehensive pipeline tests ensure CLI reliability

🔒 Security Assessment

No Security Concerns Identified:

  • ✅ Input validation is properly implemented
  • ✅ No SQL injection vectors (parser-only changes)
  • ✅ DoS protection in CLI stdin handling
  • ✅ No credential or sensitive data exposure

Performance Considerations

Expected Impact: Minimal to None

  • ✅ Uses existing ListExpression AST node (no new allocations)
  • ✅ Backward compatibility preserves single-column optimization
  • ✅ Parse-time complexity increase is negligible for typical use cases
  • ✅ Follows repository's object pooling patterns

Recommendation: Consider adding benchmark tests for multi-column USING clauses in future iterations.

🐛 Potential Issues Analysis

No Critical Issues Found. Minor observations:

  1. Edge Case: The parser doesn't validate that USING column names exist in both tables, but this is typically a semantic validation concern, not parser-level
  2. AST Consistency: The mixed storage approach (Identifier vs ListExpression) is pragmatic but adds complexity for AST consumers

📊 SQL-92 Compliance

✅ Fully Compliant: This implementation correctly follows SQL-92 standard for multi-column USING clauses, bringing GoSQLX into full compliance.

🔄 Backward Compatibility

✅ Fully Maintained: Single-column USING clauses continue to work exactly as before with no breaking changes.

📋 Recommendations

Must Address Before Merge:

  • None - this is ready for production

Optional Improvements for Future:

  1. Add benchmark tests for performance validation
  2. Consider extracting USING column parsing into helper function
  3. Add documentation examples to README.md

Commendations:

  • Exceptional test coverage demonstrates thorough engineering
  • Clean, readable implementation with good error handling
  • Proper security considerations in CLI enhancements
  • Professional commit structure and PR documentation

Final Verdict: APPROVED

This PR exemplifies high-quality software engineering with comprehensive testing, security awareness, and production-ready implementation. The multi-column USING clause support is a valuable addition that enhances SQL-92 compliance while maintaining full backward compatibility.

Recommended for immediate merge after standard CI validation.


@ajitpratap0 ajitpratap0 merged commit cc2d37f into main Nov 16, 2025
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FEAT-007: Multi-Column USING Clause in JOINs

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