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Implement GraphQL comparison: PostgreSQL+Hasura vs Doublets+GQL
- 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 <[email protected]>
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‎.github/workflows/graphql-benchmark.yml‎

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name: GraphQL Benchmark Comparison
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on: [push, pull_request]
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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jobs:
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graphql-benchmark:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Install k6
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run: |
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sudo gpg -k
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sudo gpg --no-default-keyring --keyring /usr/share/keyrings/k6-archive-keyring.gpg --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys C5AD17C747E3415A3642D57D77C6C491D6AC1D69
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echo "deb [signed-by=/usr/share/keyrings/k6-archive-keyring.gpg] https://dl.k6.io/deb stable main" | sudo tee /etc/apt/sources.list.d/k6.list
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sudo apt-get update
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sudo apt-get install k6
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- name: Install Docker Compose
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run: |
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sudo curl -L "https://github.com/docker/compose/releases/download/v2.20.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
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sudo chmod +x /usr/local/bin/docker-compose
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- name: Start PostgreSQL + Hasura stack
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run: |
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docker-compose -f docker-compose.postgresql-hasura.yml up -d
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echo "Waiting for Hasura to be ready..."
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timeout 120s bash -c 'until curl -f http://localhost:8080/healthz; do sleep 2; done'
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- name: Apply Hasura metadata
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run: |
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# Install Hasura CLI
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curl -L https://github.com/hasura/graphql-engine/raw/stable/cli/get.sh | bash
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export PATH=$PATH:$HOME/.hasura/bin
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# Apply metadata
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cd postgresql-hasura
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hasura metadata apply --endpoint http://localhost:8080
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- name: Build and start Doublets GraphQL stack
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run: |
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docker-compose -f docker-compose.doublets-gql.yml up -d --build
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echo "Waiting for Doublets GraphQL to be ready..."
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timeout 180s bash -c 'until curl -f http://localhost:60341/v1/graphql; do sleep 5; done'
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- name: Run Hasura GraphQL benchmarks
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run: |
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cd benchmarks/k6
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k6 run --out json=hasura-results.json hasura-benchmark.js
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continue-on-error: true
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- name: Run Doublets GraphQL benchmarks
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run: |
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cd benchmarks/k6
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k6 run --out json=doublets-results.json doublets-benchmark.js
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continue-on-error: true
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- name: Process benchmark results
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run: |
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cd benchmarks
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pip install matplotlib numpy
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python process-results.py k6/hasura-results.json k6/doublets-results.json | tee results.txt
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- name: Publish benchmark results to gh-pages
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run: |
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git config --global user.email "[email protected]"
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git config --global user.name "LinksPlatformBencher"
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cd benchmarks
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git fetch
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git checkout gh-pages || git checkout --orphan gh-pages
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mkdir -p Docs
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mv -f bench_graphql.png Docs/
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mv -f bench_graphql_log_scale.png Docs/
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mv -f results.txt Docs/graphql-results.txt
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git add Docs/
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git commit -m "Publish GraphQL benchmark results" || echo "No changes to commit"
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git push origin gh-pages || echo "No changes to push"
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- name: Save benchmark artifacts
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uses: actions/upload-artifact@v4
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with:
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name: GraphQL benchmark results
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path: |
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benchmarks/bench_graphql.png
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benchmarks/bench_graphql_log_scale.png
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benchmarks/results.txt
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benchmarks/k6/hasura-results.json
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benchmarks/k6/doublets-results.json
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- name: Stop services
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if: always()
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run: |
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docker-compose -f docker-compose.postgresql-hasura.yml down
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docker-compose -f docker-compose.doublets-gql.yml down

‎README.md‎

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![Image of Rust benchmark (pixel scale)](https://github.com/linksplatform/Comparisons.PostgreSQLVSDoublets/blob/gh-pages/Docs/bench_rust.png?raw=true)
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![Image of Rust benchmark (log scale)](https://github.com/linksplatform/Comparisons.PostgreSQLVSDoublets/blob/gh-pages/Docs/bench_rust_log_scale.png?raw=true)
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### GraphQL
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![Image of GraphQL benchmark (pixel scale)](https://github.com/linksplatform/Comparisons.PostgreSQLVSDoublets/blob/gh-pages/Docs/bench_graphql.png?raw=true)
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![Image of GraphQL benchmark (log scale)](https://github.com/linksplatform/Comparisons.PostgreSQLVSDoublets/blob/gh-pages/Docs/bench_graphql_log_scale.png?raw=true)
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### Raw benchmark results (all numbers are in nanoseconds)
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| Operation | Doublets United Volatile | Doublets United NonVolatile | Doublets Split Volatile | Doublets Split NonVolatile | PSQL NonTransaction | PSQL Transaction |

‎benchmarks/k6/common.js‎

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// Common utilities for GraphQL benchmarking with k6
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import http from 'k6/http';
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import { check } from 'k6';
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export class GraphQLBenchmark {
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constructor(endpoint, headers = {}) {
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this.endpoint = endpoint;
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this.headers = {
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'Content-Type': 'application/json',
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...headers
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};
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}
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query(query, variables = {}) {
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const payload = JSON.stringify({
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query: query,
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variables: variables
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});
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const response = http.post(this.endpoint, payload, { headers: this.headers });
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check(response, {
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'GraphQL request successful': (r) => r.status === 200,
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'No GraphQL errors': (r) => {
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const body = JSON.parse(r.body);
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return !body.errors;
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}
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});
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return response;
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}
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}
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// GraphQL queries and mutations
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export const queries = {
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// Create operations
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createPointLink: `
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mutation CreatePointLink {
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createPointLink {
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id
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source
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target
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}
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}
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`,
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createLink: `
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mutation CreateLink($source: ID!, $target: ID!) {
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createLink(input: { source: $source, target: $target }) {
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id
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source
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target
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}
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}
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`,
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// Update operation
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updateLink: `
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mutation UpdateLink($id: ID!, $source: ID, $target: ID) {
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updateLink(input: { id: $id, source: $source, target: $target }) {
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id
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source
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target
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}
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}
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`,
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// Delete operation
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deleteLink: `
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mutation DeleteLink($id: ID!) {
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deleteLink(id: $id)
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}
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`,
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// Read operations - Each variants
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allLinks: `
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query AllLinks($limit: Int, $offset: Int) {
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allLinks(limit: $limit, offset: $offset) {
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id
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source
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target
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}
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}
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`,
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linkById: `
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query LinkById($id: ID!) {
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linkById(id: $id) {
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id
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source
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target
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}
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}
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`,
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concreteLinks: `
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query ConcreteLinks($source: ID!, $target: ID!, $limit: Int, $offset: Int) {
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concreteLinks(source: $source, target: $target, limit: $limit, offset: $offset) {
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id
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source
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target
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}
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}
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`,
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outgoingLinks: `
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query OutgoingLinks($source: ID!, $limit: Int, $offset: Int) {
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outgoingLinks(source: $source, limit: $limit, offset: $offset) {
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id
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source
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target
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}
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}
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`,
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incomingLinks: `
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query IncomingLinks($target: ID!, $limit: Int, $offset: Int) {
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incomingLinks(target: $target, limit: $limit, offset: $offset) {
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id
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source
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target
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}
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}
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`
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};
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// Generate random variables for testing
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export function randomVariables() {
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const id = Math.floor(Math.random() * 1000) + 1;
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return {
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id: id.toString(),
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source: (Math.floor(Math.random() * 1000) + 1).toString(),
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target: (Math.floor(Math.random() * 1000) + 1).toString(),
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limit: 10,
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offset: 0
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};
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}

‎benchmarks/k6/doublets-benchmark.js‎

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// k6 benchmark script for Doublets GraphQL
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import { GraphQLBenchmark, queries, randomVariables } from './common.js';
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import { group, sleep } from 'k6';
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export let options = {
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scenarios: {
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create_load: {
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executor: 'constant-arrival-rate',
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rate: 100, // 100 requests per second
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timeUnit: '1s',
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duration: '30s',
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preAllocatedVUs: 10,
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maxVUs: 50,
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exec: 'createScenario',
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},
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update_load: {
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executor: 'constant-arrival-rate',
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rate: 100,
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timeUnit: '1s',
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duration: '30s',
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preAllocatedVUs: 10,
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maxVUs: 50,
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exec: 'updateScenario',
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startTime: '35s',
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},
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delete_load: {
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executor: 'constant-arrival-rate',
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rate: 100,
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timeUnit: '1s',
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duration: '30s',
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preAllocatedVUs: 10,
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maxVUs: 50,
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exec: 'deleteScenario',
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startTime: '70s',
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},
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read_load: {
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executor: 'constant-arrival-rate',
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rate: 200,
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timeUnit: '1s',
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duration: '60s',
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preAllocatedVUs: 20,
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maxVUs: 100,
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exec: 'readScenario',
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startTime: '105s',
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}
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},
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thresholds: {
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http_req_duration: ['p(95)<1000'], // 95% of requests should be below 1s
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http_req_failed: ['rate<0.1'], // Error rate should be below 10%
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},
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};
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const doublets = new GraphQLBenchmark('http://localhost:60341/v1/graphql');
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export function createScenario() {
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group('Create Operations', function() {
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// Create point link
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doublets.query(queries.createPointLink);
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// Create regular link
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const vars = randomVariables();
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doublets.query(queries.createLink, {
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source: vars.source,
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target: vars.target
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});
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});
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}
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export function updateScenario() {
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group('Update Operations', function() {
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const vars = randomVariables();
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doublets.query(queries.updateLink, {
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id: vars.id,
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source: vars.source,
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target: vars.target
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});
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});
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}
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export function deleteScenario() {
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group('Delete Operations', function() {
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const vars = randomVariables();
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doublets.query(queries.deleteLink, { id: vars.id });
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});
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}
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export function readScenario() {
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group('Read Operations', function() {
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const vars = randomVariables();
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// Each All
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doublets.query(queries.allLinks, { limit: 10, offset: 0 });
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// Each Identity
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doublets.query(queries.linkById, { id: vars.id });
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// Each Concrete
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doublets.query(queries.concreteLinks, {
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source: vars.source,
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target: vars.target,
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limit: 10,
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offset: 0
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});
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// Each Outgoing
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doublets.query(queries.outgoingLinks, {
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source: vars.source,
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limit: 10,
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offset: 0
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});
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// Each Incoming
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doublets.query(queries.incomingLinks, {
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target: vars.target,
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limit: 10,
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offset: 0
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});
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});
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}

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