add duckdb performance test

.gitignore

@@ -7,6 +7,9 @@ cache
 */myenv
 warehouse
 
+node_modules/
+iceberg-data/
+
 
 # Created by https://www.toptal.com/developers/gitignore/api/python
 # Edit at https://www.toptal.com/developers/gitignore?templates=python

performance-examples/duckdb-query/artillery/README.md

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+# Artillery GraphQL Load Test
+
+This directory contains Artillery load tests for the DataSQRL GraphQL API.
+
+## Prerequisites
+
+Install Artillery:
+```bash
+npm install -g artillery@latest
+```
+
+## Running the Test
+
+Basic run:
+```bash
+npm test
+```
+
+## Test Configuration
+
+- **Target**: `http://localhost:8888`
+- **Duration**: 60 seconds
+- **Rate**: 10 queries per second
+- **Query**: MetricsByTime with random machineid (1-99)
+
+## Metrics Reported
+
+Artillery will report:
+- **Latency percentiles**: p50, p75, p90, p95, p99
+- **Request rate**: requests per second
+- **Error rate**: percentage of failed requests
+- **Response codes**: distribution of HTTP status codes
+- **Scenarios completed**: number of successful test scenarios
+
+## Performance Thresholds
+
+The test includes assertions:
+- Max error rate: 1%
+- p95 latency: < 1000ms
+- p99 latency: < 2000ms
+
+## Customization
+
+Edit `graphql-load-test.yml` to:
+- Change load pattern (phases)
+- Modify query variables
+- Adjust performance thresholds
+- Add more scenarios

performance-examples/duckdb-query/artillery/graphql-load-test.yml

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+config:
+  target: "http://localhost:8888"
+  phases:
+    - duration: 60
+      arrivalRate: 25
+      name: "Sustained load - 25 QPS"
+  plugins:
+    metrics-by-endpoint:
+      stripQueryString: true
+  ensure:
+    maxErrorRate: 1
+    p95: 1000
+    p99: 2000
+
+scenarios:
+  - name: "MetricsByTime Query"
+    engine: http
+    flow:
+      - post:
+          url: "/v1/graphql"
+          headers:
+            Content-Type: "application/json"
+          json:
+            query: |
+              query MetricsByTimeQuery($machineid: Int!, $fromTime: String!) {
+                MetricsByTime(machineid: $machineid, fromTime: $fromTime) {
+                  avg_metric
+                  total_count
+                }
+              }
+            variables:
+              machineid: "{{ $randomNumber(1, 99) }}"
+              fromTime: "2024-01-01T00:00:00Z"