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https://github.com/czlonkowski/n8n-mcp.git
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8f66964f0f
Resolves critical memory leak causing growth from 100Mi to 2.2GB over 72 hours in Docker/Kubernetes deployments. Problem Analysis: - Environment: Kubernetes/Docker using sql.js fallback - Growth rate: ~23 MB/hour (444Mi after 19 hours) - Pattern: Linear accumulation, garbage collection couldn't keep pace - Impact: OOM kills every 24-48 hours in memory-limited pods Root Causes: 1. Over-aggressive save triggering: prepare() called scheduleSave() on reads 2. Too frequent saves: 100ms debounce = 3-5 saves/second under load 3. Double allocation: Buffer.from() copied Uint8Array (4-10MB per save) 4. No cleanup: Relied solely on GC which couldn't keep pace 5. Docker limitation: Missing build tools forced sql.js instead of better-sqlite3 Code-Level Fixes (sql.js optimization): ✅ Removed scheduleSave() from prepare() (read operations don't modify DB) ✅ Increased debounce: 100ms → 5000ms (98% reduction in save frequency) ✅ Removed Buffer.from() copy (50% reduction in temporary allocations) ✅ Made save interval configurable via SQLJS_SAVE_INTERVAL_MS env var ✅ Added input validation (minimum 100ms, falls back to 5000ms default) Infrastructure Fix (Dockerfile): ✅ Added build tools (python3, make, g++) to main Dockerfile ✅ Compile better-sqlite3 during npm install, then remove build tools ✅ Image size increase: ~5-10MB (acceptable for eliminating memory leak) ✅ Railway Dockerfile already had build tools (added explanatory comment) Impact: With better-sqlite3 (now default in Docker): - Memory: Stable at ~100-120 MB (native SQLite) - Performance: Better than sql.js (no WASM overhead) - No periodic saves needed (writes directly to disk) - Eliminates memory leak entirely With sql.js (fallback only): - Memory: Stable at 150-200 MB (vs 2.2GB after 3 days) - No OOM kills in long-running Kubernetes pods - Reduced CPU usage (98% fewer disk writes) - Same data safety (5-second save window acceptable) Configuration: - New env var: SQLJS_SAVE_INTERVAL_MS (default: 5000) - Only relevant when sql.js fallback is used - Minimum: 100ms, invalid values fall back to default Testing: ✅ All unit tests passing ✅ New integration tests for memory leak prevention ✅ TypeScript compilation successful ✅ Docker builds verified (build tools working) Files Modified: - src/database/database-adapter.ts: SQLJSAdapter optimization - Dockerfile: Added build tools for better-sqlite3 - Dockerfile.railway: Added documentation comment - tests/unit/database/database-adapter-unit.test.ts: New test suites - tests/integration/database/sqljs-memory-leak.test.ts: Integration tests - package.json: Version bump to 2.20.2 - package.runtime.json: Version bump to 2.20.2 - CHANGELOG.md: Comprehensive v2.20.2 entry - README.md: Database & Memory Configuration section Closes #330 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
89 lines
2.6 KiB
Docker
89 lines
2.6 KiB
Docker
# syntax=docker/dockerfile:1.7
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# Railway-compatible Dockerfile for n8n-mcp
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# --- Stage 1: Builder ---
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FROM node:22-alpine AS builder
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WORKDIR /app
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# Install system dependencies for native modules
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RUN apk add --no-cache python3 make g++ && \
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rm -rf /var/cache/apk/*
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# Copy package files and tsconfig files
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COPY package*.json tsconfig*.json ./
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# Install all dependencies (including devDependencies for build)
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RUN npm ci --no-audit --no-fund
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# Copy source code
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COPY src ./src
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# Build the application
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RUN npm run build
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# --- Stage 2: Runtime ---
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FROM node:22-alpine AS runtime
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WORKDIR /app
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# Install system dependencies including build tools for better-sqlite3 compilation
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# Build tools (python3, make, g++) enable native SQLite instead of sql.js, preventing memory leaks
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RUN apk add --no-cache curl python3 make g++ && \
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rm -rf /var/cache/apk/*
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# Copy runtime-only package.json
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COPY package.runtime.json package.json
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# Install only production dependencies
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RUN npm install --production --no-audit --no-fund && \
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npm cache clean --force
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# Copy built application from builder stage
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COPY --from=builder /app/dist ./dist
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# Copy necessary data and configuration files
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COPY data/ ./data/
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COPY src/database/schema-optimized.sql ./src/database/schema-optimized.sql
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COPY .env.example ./
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# Copy entrypoint script
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COPY docker/docker-entrypoint.sh /usr/local/bin/
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RUN chmod +x /usr/local/bin/docker-entrypoint.sh
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# Create data directory if it doesn't exist and set permissions
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RUN mkdir -p ./data && \
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chmod 755 ./data
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# Add metadata labels
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LABEL org.opencontainers.image.source="https://github.com/czlonkowski/n8n-mcp"
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LABEL org.opencontainers.image.description="n8n MCP Server - Integration between n8n workflow automation and Model Context Protocol"
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LABEL org.opencontainers.image.licenses="MIT"
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LABEL org.opencontainers.image.title="n8n-mcp"
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LABEL org.opencontainers.image.version="2.7.13"
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# Create non-root user for security
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RUN addgroup -g 1001 -S nodejs && \
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adduser -S nodejs -u 1001 && \
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chown -R nodejs:nodejs /app
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USER nodejs
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# Set Railway-optimized environment variables
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ENV AUTH_TOKEN="REPLACE_THIS_AUTH_TOKEN_32_CHARS_MIN_abcdefgh"
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ENV NODE_ENV=production
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ENV IS_DOCKER=true
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ENV MCP_MODE=http
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ENV USE_FIXED_HTTP=true
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ENV LOG_LEVEL=info
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ENV TRUST_PROXY=1
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ENV HOST=0.0.0.0
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ENV CORS_ORIGIN="*"
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# Expose port (Railway will set PORT automatically)
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EXPOSE 3000
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD curl -f http://127.0.0.1:${PORT:-3000}/health || exit 1
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# Optimized entrypoint (identical to main Dockerfile)
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ENTRYPOINT ["/usr/local/bin/docker-entrypoint.sh"]
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CMD ["node", "dist/mcp/index.js", "--http"] |