Implement GraphQL comparison: PostgreSQL+Hasura vs Doublets+GQL#10
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Implement GraphQL comparison: PostgreSQL+Hasura vs Doublets+GQL#10
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Adding CLAUDE.md with task information for AI processing. This file will be removed when the task is complete. Issue: #1
- Add comprehensive GraphQL schema covering all benchmark operations - Set up PostgreSQL+Hasura with Docker Compose and metadata configuration - Set up Doublets GraphQL server with Docker setup - Implement k6 load testing scripts for both GraphQL endpoints - Add visualization and results processing similar to existing benchmarks - Create GitHub Actions workflow for automated benchmarking - Add local benchmark runner script for development - Update README with GraphQL benchmark results section Addresses issue #1 for GraphQL-based performance comparison. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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🎯 Summary
This PR implements the first version of GraphQL comparison between PostgreSQL+Hasura and Doublets+GQL, as requested in issue #1.
📋 Implementation Details
✅ Core Components
🔄 GraphQL Operations Benchmarked
Based on the existing benchmark operations, implements GraphQL equivalents:
Mutations (Write Operations):
createPointLink- Creates point links (id = source = target)createLink- Creates regular linksupdateLink- Updates existing linksdeleteLink- Deletes links by IDQueries (Read Operations):
allLinks- Get all links ([*, *, *]constraint)linkById- Get by ID ([id, *, *]constraint)concreteLinks- Get by source+target ([*, source, target]constraint)outgoingLinks- Get outgoing ([*, source, *]constraint)incomingLinks- Get incoming ([*, *, target]constraint)🚀 Usage
Local Development:
GitHub Actions:
Automatically runs on push/PR and publishes results to
gh-pagesbranch.📊 Results
The implementation generates:
🔧 Technical Details
🎁 Closes
Fixes #1
🤖 Generated with Claude Code