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SQL Crack

SQL Crack

buvan

|
579 installs
| (2) | Free
Visualize SQL queries with interactive flow diagrams
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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SQL Crack

Transform SQL queries into interactive visual flow diagrams

Features • Dialects • Installation • Usage • Configuration • Contributing


SQL Crack is a VS Code extension that visualizes SQL queries as interactive execution flow diagrams. Understand complex queries at a glance, track data lineage across your entire workspace, and identify optimization opportunities with professional-grade visual analysis.

Inspired by JSON Crack and Snowflake Query Profile

SQL Crack Demo

Features

Query Visualization

Feature Description
Execution Flow See how your SQL executes step-by-step with color-coded operation nodes
Multi-Query Support Visualize multiple statements with tab navigation (Q1, Q2, Q3...)
Column Lineage Click any output column to trace its transformation path through JOINs, aggregations, and calculations
Legend Bar (Default On) Bottom legend is visible on first open, dismissable, and remembers your preference
Command Palette Press Cmd/Ctrl + Shift + P inside the webview for quick action search
CTE & Subquery Expansion Double-click to expand CTEs/subqueries in floating cloud panels with independent pan/zoom
Undo / Redo Layout History Revert or re-apply drag, zoom, layout, and focus-mode changes with toolbar controls or keyboard shortcuts
Query Compare Mode Compare baseline vs current query side-by-side with added/removed/changed node highlights and stats deltas
Query Statistics Complexity score, CTE depth, fan-out analysis, and performance score (0-100)

Node Types: Table (Blue) • Filter (Purple) • Join (Pink) • Aggregate (Amber) • Window (Fuchsia) • Sort (Green) • Limit (Cyan) • Select (Indigo) • Union/Set Op (Slate) • CTE (Purple) • Subquery (Violet) • Case (Orange) • Result (Green)

Operation Badges: READ (Blue) • WRITE (Red) • DERIVED (Teal) • CTE (Purple) • SQ (Violet) • INSERT (Green) • UPDATE (Amber) • DELETE (Dark Red) • MERGE (Violet) • CTAS (Cyan)


Workspace Analysis

Analyze cross-file dependencies across your entire SQL project with three main views:

Graph View

Dependency graph showing file and table relationships with color-coded edges for SELECT, JOIN, INSERT, UPDATE, and DELETE operations. Includes a selection panel with upstream/downstream context, focus mode, and an index freshness badge, plus guided empty-state prompts when the graph is empty or search yields no matches.

Lineage View

Explore data lineage across tables, views, and CTEs with:

  • Interactive Graph — Animated flow edges showing data direction
  • Legend Panel — Collapsible reference for node types and column colors
  • Mini-Map — Overview panel for navigating large graphs
  • Column Type Colors — Primary (Gold), Numeric (Blue), Text (Green), DateTime (Purple), JSON (Teal)
  • Focus Modes — View upstream only (U), downstream only (D), or all connections (A)
  • Trace Controls — Trace Up/Down buttons to highlight full upstream/downstream lineage
  • Table Browser — Search and browse all tables, views, and CTEs with schema details and cross-references

Impact Analysis

Analyze change impact (MODIFY/RENAME/DROP) with severity indicators, grouped transitive impacts, and source → target column paths.

Common Features (all views):

  • Click nodes to open files, double-click to visualize SQL
  • Pan/zoom navigation with search (regex and case-sensitivity options)
  • Statistics panel showing files, tables, views, and references
  • Orphaned/missing definition badges with click-to-navigate
  • Incremental parsing with SHA-256 hashing and auto-update on save

Smart Analysis

Analysis Description
Quality Warnings Unused CTEs, dead columns, duplicate subqueries, repeated table scans
Performance Hints Filter pushdown, join order, index suggestions, non-sargable expressions
Performance Score 0-100 score based on detected anti-patterns
Inline Diagnostics SQL Crack hints surface as VS Code diagnostics with a quick fix to open SQL Flow

Parser Reliability

Capability Description
Partial Parse Fallback If AST parsing fails, SQL Crack falls back to regex extraction to still render best-effort tables/joins
Auto-Retry Dialect Detects dialect-specific syntax patterns and retries parsing with the correct dialect when the selected one fails
Nested CTE Hoisting Automatically rewrites Snowflake/Tableau-style FROM (WITH ... SELECT ...) subqueries to top-level CTEs for full visualization
PostgreSQL Syntax Preprocessing Automatically rewrites AT TIME ZONE, timestamptz '...', and other type-prefixed literals for full AST parsing, including during dialect auto-retry
Safer Dialect Detection Reduces false positives in dialect pattern matching (for example time literals like 00:00:00) so valid queries are less likely to fall back unnecessarily
Large File Handling Parses within configurable file/statement limits and clearly reports truncation instead of failing hard
Timeout Protection Configurable parse timeout prevents UI hangs on pathological queries
MERGE / UPSERT Coverage Supports MERGE-style visualization and dialect-native upsert patterns (ON CONFLICT, ON DUPLICATE KEY)
TVF Awareness Recognizes common table-valued functions across PostgreSQL, Snowflake, BigQuery, and SQL Server
DBT/Jinja Preprocessing Automatically rewrites {{ ref() }}, {{ source() }}, {% if/else %}, and other Jinja templates to valid SQL so DBT projects visualize correctly
Actionable Parse Errors Parse diagnostics include source line context in the badge and canvas overlay, not just line/column numbers

Performance Icons: Filter Pushdown (⬆) • Non-Sargable (🚫) • Join Order (⇄) • Index Suggestion (📇) • Repeated Scan (🔄) • Complex (🧮)

Note: This is heuristic-based static analysis. For production optimization, validate with actual query plans (EXPLAIN ANALYZE).


Interactive Navigation

  • Click to Navigate — Click nodes to jump to SQL source, click edges to view JOIN/WHERE clauses
  • Breadcrumb Trail — Navigate through nested CTEs with clickable breadcrumbs
  • Search — Find nodes by name with Cmd/Ctrl + F
  • Editor Sync — Bidirectional highlighting between editor and flow diagram
  • Hover Tooltips — Detailed information on hover for nodes and edges

Layout & Export

  • Layout Picker — Toolbar picker with SVG icons for vertical, horizontal, compact, force, and radial layouts
  • Layout Shortcuts — Cycle layouts with H or jump directly with keys 1-5
  • Auto-Refresh — Updates automatically as you edit (configurable debounce)
  • Export Options — PNG, SVG, Mermaid.js, or clipboard copy
  • View Modes — Display beside editor or in a new tab
  • Pin Visualizations — Save snapshots as persistent tabs
  • Fullscreen — Press F for distraction-free viewing

Supported Dialects

MySQL • PostgreSQL • SQL Server • MariaDB • SQLite • Snowflake • BigQuery • Redshift • Hive • Athena • Trino • Oracle • Teradata


Installation

From VS Code Marketplace (Recommended)

  1. Open VS Code
  2. Go to Extensions (Cmd+Shift+X / Ctrl+Shift+X)
  3. Search for "SQL Crack"
  4. Click Install

Or install directly: SQL Crack on Marketplace

Cursor

  1. Open Cursor
  2. Go to Extensions (Cmd+Shift+X / Ctrl+Shift+X)
  3. Search for "buvan.sql-crack" (use the publisher-qualified name for reliable results)
  4. Click Install

Or install from Open VSX Registry.

From Source

git clone https://github.com/buva7687/sql-crack.git
cd sql-crack
npm install
npm run package

Install the generated .vsix file via Extensions → ••• → Install from VSIX.


Usage

Quick Start

  1. Open any .sql file
  2. Visualize using one of:
    • Click the graph icon in the editor title bar
    • Press Cmd+Shift+L (Mac) / Ctrl+Shift+L (Windows/Linux)
    • Right-click → "SQL Crack: Visualize SQL Query"

Cursor note: Some Cursor builds do not render custom editor-title icons consistently. If the title icon is not visible, run SQL Crack: Visualize SQL Query from the Command Palette (Cmd/Ctrl+Shift+P) or use the context menu.

Workspace Analysis

Analyze cross-file dependencies:

  • Right-click folder → "SQL Crack: Analyze Workspace Dependencies"
  • Command Palette → "SQL Crack: Analyze Workspace Dependencies"

Tip: Re-open the panel anytime by running the same command from the Command Palette.


Keyboard Shortcuts

Query Visualization

Shortcut Action
Cmd/Ctrl + Shift + L Open visualization
Cmd/Ctrl + Shift + P Open command palette
Cmd/Ctrl + F or / Search nodes
Enter / ↓ Next search result
↑ Previous search result
Escape Clear selection
C Toggle column lineage
L Toggle legend
S Toggle SQL preview
Q Toggle query stats
O Toggle hints/optimization panel
H Cycle layout (vertical → horizontal → compact → force → radial)
1-5 Jump directly to a specific layout option
E Expand/collapse all CTEs
U / D / A Focus mode: upstream / downstream / all
T Toggle theme
F Toggle fullscreen
R Reset view (fit to screen)
+ / - Zoom in / out
Cmd/Ctrl + Z Undo latest layout change
Cmd/Ctrl + Shift + Z Redo layout change
[ / ] Previous/next query
? Show all shortcuts

Workspace Graph

Shortcut Action
Cmd/Ctrl + F Focus graph search
Escape Clear search or selection
F Toggle focus mode (neighbors only)
R Reset view (fit to screen)

Lineage View

Shortcut Action
U Focus upstream only
D Focus downstream only
A Show all connections
C Toggle column lineage
Scroll Zoom in/out
Drag Pan the view

Accessibility

All toolbar buttons have ARIA labels for screen readers. Graph nodes are keyboard-navigable:

Key Action
Tab Focus next node
Enter / Space Select focused node
Arrow keys Navigate between nodes
Escape Deselect and return to canvas

UI transitions and entrance animations also respect prefers-reduced-motion.


Configuration

Core Settings

Setting Default Description
sqlCrack.defaultDialect MySQL SQL dialect for parsing
sqlCrack.autoDetectDialect true Auto-detect dialect from query content. Disable for single-dialect repos where auto-detection produces false positives.
sqlCrack.viewLocation tab Panel location: beside, tab
sqlCrack.defaultLayout vertical Graph layout: vertical, horizontal, compact, force, radial
sqlCrack.autoRefresh true Auto-refresh on SQL changes
sqlCrack.autoRefreshDelay 500 Debounce delay in ms (100-5000)
sqlCrack.gridStyle lines Canvas background style: dots, lines, none
sqlCrack.nodeAccentPosition left Node accent strip position: left, bottom
sqlCrack.showMinimap auto Minimap visibility: auto, always, never
sqlCrack.colorblindMode off Color accessibility mode: off, deuteranopia, protanopia, tritanopia

Workspace Settings

Setting Default Description
sqlCrack.workspaceAutoIndexThreshold 50 Max files to auto-index (10-500)
sqlCrack.workspaceLineageDepth 5 Default lineage traversal depth (1-20)
sqlCrack.workspaceGraphDefaultMode tables Default Graph tab mode: files, tables

Custom File Extensions

Setting Default Description
sqlCrack.additionalFileExtensions [] Additional file extensions to treat as SQL (e.g. .hql, .bteq, .tpt, .dbsql). Include the leading dot; with or without dot is accepted and normalized.

Files with these extensions will show the SQL Crack icon in the editor title bar and can be visualized like .sql files. They are also included in workspace analysis (find files, index), trigger incremental index updates on save/create/delete, and watcher patterns are refreshed when the extension setting changes. Workspace indexing intentionally skips dependency/build folders (node_modules, .git, dist, build).

Custom Functions

Setting Default Description
sqlCrack.customAggregateFunctions [] Custom aggregate function names (e.g., ["MY_SUM"])
sqlCrack.customWindowFunctions [] Custom window function names (e.g., ["MY_RANK"])

Advanced Settings

Setting Default Description
sqlCrack.advanced.defaultTheme light Theme: auto, dark, light
sqlCrack.advanced.showDiagnosticsInProblems false Show SQL Crack hints/errors in VS Code Problems panel
sqlCrack.advanced.showDeadColumnHints true Show warnings for unused columns
sqlCrack.advanced.combineDdlStatements false Merge consecutive DDL into single tab
sqlCrack.advanced.maxFileSizeKB 100 Max SQL file size before truncation handling (10-10000)
sqlCrack.advanced.maxStatements 50 Max statements parsed per file (1-500)
sqlCrack.advanced.deferredQueryThreshold 50 Query count threshold before SQL Flow compacts non-active query graphs and hydrates them on demand (1-500)
sqlCrack.advanced.parseTimeoutSeconds 5 Parser timeout in seconds (1-60)
sqlCrack.advanced.debugLogging false Enable verbose SQL Crack output-channel logs
sqlCrack.advanced.cacheTTLHours 24 Workspace index cache duration in hours (0 = disable, max 168)

Troubleshooting

Common Issues

Problem Solution
Icon not showing for custom extensions In Settings → SQL Crack → Additional File Extensions, add one item per extension (e.g. .hql, .tpt). With or without a leading dot is fine; the extension normalizes automatically. Reload the window if the icon still doesn’t appear.
Parse error on valid SQL Try a different dialect from the dropdown. SQL Crack auto-retries when it detects a stronger dialect match, but some vendor-specific syntax may still require manually switching (PostgreSQL is usually the most permissive fallback).
Graph is slow with large files SQL files over 100KB or 50+ statements may be slow. Try visualizing smaller sections by selecting text first.
CTE/Subquery not expanding Double-click the node. If it has no children, it may be a simple reference.
Workspace indexing stuck Click Cancel in the notification, then try again. For very large workspaces, increase workspaceAutoIndexThreshold.
Columns not highlighting Press C to enable column lineage mode first, then click output columns in the SELECT node.

Debug Mode

To see detailed logs:

  1. Enable sqlCrack.advanced.debugLogging in VS Code settings
  2. Open View → Output and select SQL Crack from the dropdown
  3. Extension logs appear in the Output Channel as you interact

For lower-level diagnostics you can also open Help → Toggle Developer Tools → Console and filter by "SQL Crack".

Resetting State

If the extension behaves unexpectedly:

  1. Run "Developer: Reload Window" from Command Palette
  2. If issues persist, disable/re-enable the extension
  3. For workspace index issues, re-run "SQL Crack: Analyze Workspace Dependencies" to rebuild the index, or set Cache TTL to 0 (Advanced) and reload the window

Privacy

  • 100% Local — All processing happens in VS Code
  • No Network Calls — Your SQL never leaves your machine
  • No Telemetry — Zero data collection
  • Open Source — Fully auditable code

Development

npm install          # Install dependencies
npm run compile      # Build extension
npm run watch        # Watch mode
npm run typecheck    # Type check
npm run lint         # Lint code

Press F5 to launch the Extension Development Host.

Architecture Overview

src/
├── extension.ts                 # Extension entrypoint, commands, lifecycle
├── visualizationPanel.ts        # SQL Flow webview panel orchestration
├── dialects/                    # Dialect registry/config
├── shared/                      # Cross-layer tokens/utils/messages
│   └── messages/                # Typed host/webview message contracts
├── webview/                     # Browser-side SQL Flow runtime
│   ├── index.ts                 # Webview bootstrap + wiring
│   ├── sqlParser.ts             # Parse orchestrator
│   ├── renderer.ts              # Render orchestrator
│   ├── parser/                  # Extracted parser modules (validation, dialects, hints, statements, extractors)
│   ├── rendering/               # Node/edge/cloud/viewport rendering modules
│   ├── features/                # Export, lineage, theme, minimap, focus, search, metadata
│   ├── interaction/             # Event listeners, drag/zoom/keyboard, pulse/selection
│   ├── navigation/              # Node/table/keyboard navigation helpers
│   ├── panels/                  # Info/stats/sql panel renderers
│   ├── state/                   # Renderer state factories
│   ├── constants/               # Color/theme constants
│   ├── types/                   # Webview runtime types
│   ├── ui/                      # Toolbar/context menu/tooltip/layout/command UI
│   │   └── toolbar/             # Extracted toolbar component modules
│   └── workers/                 # Worker scripts
└── workspace/                   # Extension-host workspace analysis runtime
    ├── workspacePanel.ts        # Workspace panel orchestrator
    ├── scanner.ts               # SQL file discovery/scanning
    ├── indexManager.ts          # Incremental index/cache/watcher
    ├── handlers/                # Message routing + command handlers
    ├── panel/                   # Workspace panel/page/export/stats modules
    ├── lineage/                 # Cross-file lineage graph + analyzers
    ├── extraction/              # Definition/reference extraction pipeline
    ├── graph/                   # Workspace graph build/filter/layout modules
    └── ui/                      # Workspace webview scripts/styles/views

Data Flow:

  1. User opens .sql file → extension.ts creates VisualizationPanel
  2. SQL text → sqlParser.ts (node-sql-parser) → AST → FlowNode[] + FlowEdge[]
  3. Nodes/edges → renderer.ts → SVG with dagre layout
  4. User interactions → message passing between webview and extension host

Roadmap

  • ✅ Phase 1 — Core visualization (execution flow, CTE expansion, fullscreen)
  • ✅ Phase 2 — Developer productivity (quality warnings, column lineage, cloud panels)
  • ✅ Phase 3 — Performance analysis (filter pushdown, join order, anti-pattern detection)
  • ✅ Phase 4 — Workspace analysis (cross-file lineage, dependency graph, 3 view modes)
  • ✅ Phase 5 — Polish & accessibility (keyboard navigation, ARIA labels, cancellable indexing)
  • ✅ Phase 6 — Large-file modular refactor (parser/renderer/workspace UI split into focused modules)

Refactoring milestone: large-file decomposition completed across core surfaces with full regression validation (tsc, lint, and test suite all green).

Planned:

  • Export preview dialog with PDF support
  • Diff-aware visualization for PR reviews
  • dbt integration — deep: cross-file ref() resolution, manifest.json, macro following (basic Jinja preprocessing shipped in 0.5.2)
  • Performance regression detection

Contributing

Contributions are welcome!

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Reporting Issues

Found a bug or have a feature request? Open an issue with:

  • Clear description of the problem/feature
  • Steps to reproduce (for bugs)
  • SQL query example (if applicable)
  • VS Code and extension version

License

MIT License — see LICENSE for details.


Acknowledgments

  • JSON Crack — Visual inspiration
  • node-sql-parser — SQL parsing
  • dagre — Graph layout
  • jsPDF — PDF export generation

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