https://github.com/hendisantika/spring-boot-virtual-threads
Running a Spring Boot application with Java 21 Virtual Threads
https://github.com/hendisantika/spring-boot-virtual-threads
Last synced: 2 months ago
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Running a Spring Boot application with Java 21 Virtual Threads
- Host: GitHub
- URL: https://github.com/hendisantika/spring-boot-virtual-threads
- Owner: hendisantika
- Created: 2023-11-25T04:07:18.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-07T23:12:04.000Z (2 months ago)
- Last Synced: 2025-04-13T00:13:35.039Z (2 months ago)
- Language: Java
- Size: 144 KB
- Stars: 5
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# spring-boot-virtual-threads-load-test
This repository contains the code to be able to test the different performances between a spring-boot application based
on virtual threads https://github.com/GaetanoPiazzolla/spring-boot-virtual-threads
and standard spring application using platform threads.
The experimental results I've found have been published in the following medium article for you to consider.
https://medium.com/dev-genius/spring-boot-3-with-java-19-virtual-threads-ca6a03bc511d
All this code is published under the GNU General Public License v3.0 and it's free for you to use and customize as you
wish.
### Step 1:
Run the containers by executing the following command inside the "deployment" folder:
```shell
docker-compose rm -f
docker-compose up --build --force-recreate --remove-orphans
```
### Step 2:
Run k6 tests in temporary container by executing the following command inside the "k6-testing" folder:
```shell
docker-compose run --rm k6 run /k6-scripts/ -e THREAD=virtual|standard -e USERS=20|40|393939...
```
Before each test you should run the following script to make every load test independent of the previous executions.
```sql
DELETE
FROM books b
WHERE b.book_id <> 1;
DELETE
FROM orders;
```
You may also want to add some latency for the database connection:
```shell
docker exec db-service apt-get update && apt-get install iproute2 iputils-ping -y
docker exec db-service tc qdisc add dev eth0 root netem delay 250ms
```
### Step 3:
Datas will be available on the grafana dashboard at:
http://localhost:3000/d/k6/k6-load-testing-results?orgId=1&refresh=5s