Netflix Conductor Parallel Execution Evaluation
This project includes an example implementation of the Saga pattern using Netflix Conductor. The difference to the original Saga Pattern Realization With Netflix Conductor is the parallel execution of specific tasks instead of a sequential one.
Start the Application
-
Run
./gradlew clean build
-
Execute
docker-compose up --no-start
-
Execute
docker-compose start elasticsearch
-
Execute
docker-compose start dynomite
-
Execute
docker-compose up
-
Requesting trip bookings is now possible. Either use
curl
commands, the providedTravelApplication.json
insomnia file, which includes different trip booking requests, or access the Swagger UI of the different services:
TravelService | http://localhost:8090/swagger-ui.html |
HotelService | http://localhost:8081/swagger-ui.html |
FlightService | http://localhost:8082/swagger-ui.html |
An example for such a request:
{
"duration":
{
"start":"2021-12-01",
"end":"2021-12-12"
},
"start":
{
"country":"Scotland",
"city":"Stirling"
},
"destination":
{
"country":"Sweden",
"city":"Stockholm"
},
"travellerName": "Max Mustermann",
"boardType":"breakfast",
"customerId":"1"
}
To simulate a Saga that fails because no hotel or no flight is available, use one of the following Strings
as destination country
in the trip booking request:
"Provoke hotel failure"
"Provoke flight failure"
Additionally, the Swagger UI of the Conductor server can be accessed via http://localhost:8080/.
The services also provide a health and an info endpoint that show some information about the system like that the DB is up and running. These endpoints can be accessed via:
TravelService | http://localhost:8090/api/travel/monitor/health | http://localhost:8090/api/travel/monitor/info |
HotelService | http://localhost:8081/api/hotels/monitor/health | http://localhost:8081/api/hotels/monitor/info |
FlightService | http://localhost:8082/api/flights/monitor/health | http://localhost:8082/api/flights/monitor/info |
If you are on Windows or Mac, you sometimes have to replace localhost with the default IP of your docker machine (use docker-machine ip default
to get this default IP).
Stop the Application
To stop the application and remove the created containers, execute the following command:
docker-compose down --remove-orphans
Parallel Execution of Tasks
The bookHotel
and the bookFlight
tasks, as well as the confirmHotel
and the confirmTrip
tasks, are now executed in parallel
by using Conductor's provided fork and join system tasks. Additionally, the compensating workflow also runs the cancelHotel
and the
cancelFlight
tasks in parallel.
Code Link
NetflixConductor_Implementations/NetflixConductor_ParallelExec-Evaluation