Parallel Execution
Run the whole suite at once, not one request at a time.
Switch a file to parallel execution and every request goes out together on one libcurl multi handle. Cap concurrency to stay inside rate limits, and keep going past failures so one broken endpoint never hides the rest.
parallel.yaml
global:
execution: parallel
maxConcurrency: 5
continueOnError: true
variables:
BASE: https://api.example.com
requests:
- name: List users
url: ${BASE}/users
expect:
status: 200
- name: List orders
url: ${BASE}/orders
expect:
status: 200
- name: List invoices
url: ${BASE}/invoices
expect:
status: 200Benefits
One switch
Set execution: parallel in the file, or pass -p on the command line. The requests stay exactly as they are.
Bounded concurrency
maxConcurrency caps how many requests are in flight. Leave it unset and everything starts together.
Complete results
With continueOnError, a failure doesn’t stop the run. You get a result for every request in one report.
Good for
- Smoke-testing many independent endpoints
- Large regression suites in CI
- Checking that every service in a stack answers
- Respecting a rate limit while still running concurrently