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# Benchmarking the performance | ||
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Apisonator is designed to process a lot of requests quickly and sometimes minor changes or changes in the underlying libraries results in significant performance degradation. | ||
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Due to differences in the underlying hardware, a fixed numbers can't be given. Always compare performance with and without your changes. | ||
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Another thing to keep in mind is that a local redis has a significantly lower latency than a remote one. So a real world setup benchmark will be much more valuable. For example locally the `sync` mode will be very much comparable to `async`. But in reality `sync` is much slower at present. | ||
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## Check worker performance locally | ||
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Run the following rake task with `CONFIG_REDIS_ASYNC=false` or `CONFIG_REDIS_ASYNC=true` depending on which mode your changes affected. | ||
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``` | ||
CONFIG_REDIS_ASYNC=true CONFIG_QUEUES_MASTER_NAME=localhost:6379/5 CONFIG_REDIS_PROXY=localhost:6379/6 time -- bundle exec rake --backtrace bench[worker/worker_bench.rb] | ||
``` | ||
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## Check listerner performance locally | ||
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### Obtain existing keys and metric | ||
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This is useful if you later want to compare performed requests to the reported requests in porta. | ||
Alternatively you can generate fake entries into apisonator database. | ||
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Open porta, choose a provider and get the keys through the UI. | ||
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You can use also use porta rails console. | ||
```ruby | ||
Account.all.pluck :org_name, :id | ||
Account.find(2).provider_key | ||
Account.find(2).services.first.id | ||
Account.find(2).services.first.cinstances.take.user_key | ||
``` | ||
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To ensure the provider data is synced in apisonator, run this in porta repo: | ||
``` | ||
PROVIDER_ID=2445584351329 bundle exec rake backend:storage:rewrite | ||
``` | ||
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### Create fake keys and metric | ||
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This approach is quicker and doesn't require porta to be running. | ||
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With ruby | ||
``` | ||
export CONFIG_REDIS_ASYNC=false | ||
bundle exec ruby -Ilib/ -r3scale/backend.rb <<EOF | ||
ThreeScale::Backend::Service.save!(provider_key: 'pk', id: '1') | ||
ThreeScale::Backend::Application.save(service_id: '1', id: '1', state: :active) | ||
ThreeScale::Backend::Application.save_id_by_key('1', 'uk', '1') | ||
ThreeScale::Backend::Metric.save(service_id: '1', id: '1', name: 'hits') | ||
EOF | ||
``` | ||
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Or API: | ||
``` | ||
curl -X PUT -u system_app:password http://localhost:3001/internal/services/1 -d '{"service": { "id": "1", "provider_key": "pk" }}' | ||
curl -X PUT -u system_app:password http://localhost:3001/internal/services/1/applications/1 -d '{"application": { "state": "active" }}' | ||
curl -X PUT -u system_app:password http://localhost:3001/internal/services/1/applications/1/key/uk | ||
curl -X PUT -u system_app:password http://localhost:3001/internal/services/1/metrics/1 -d '{"metric": { "name": "hits" }}' | ||
``` | ||
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Note that the api user and password need to match your actual passwords from local apisonator environment or from the `backend-internal-api` secret in the OpenShift project. | ||
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### Run many requests with hey | ||
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This is an example command using the fake data above. You need to adjust for real keys in porta. | ||
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``` | ||
hey -z 1h -c 60 "http://localhost:3001/transactions/authrep.xml?provider_key=pk&service_id=1&user_key=uk&usage%5Bhits%5D=1" | ||
``` | ||
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## running long stress test inside OCP | ||
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Obtain proper keys or create them as described above. Then run a pod like this one in the OpenShift cluster. | ||
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```yaml | ||
apiVersion: v1 | ||
kind: Pod | ||
metadata: | ||
name: backend-hey-0 | ||
spec: | ||
restartPolicy: Never | ||
containers: | ||
- name: hey | ||
image: williamyeh/hey:latest | ||
args: | ||
- "-z" | ||
- 12h | ||
- "-c" | ||
- "60" | ||
- "http://backend-listener-internal/transactions/authrep.xml?provider_key=pYH6zoa2HlaWt0nj6QDg9Y0WTVjqyo&service_id=2555418011440&user_key=301e82fc483319fe89d7bb06e80b181a&usage%5Bhits%5D=1" | ||
``` |