This example shows how to work with Apache Camel Saga using Spring Boot and Narayana LRA Coordinator to manage long running actions
There are 4 services as participants of the Saga:
-
payment-service: it emulates a real payment transaction and it will be used by both flight-service and train-service
-
flight-service: it emulates the booking of a flight ticket and it uses the payment-service to execute a payment transaction
-
train-service: it emulates the reservation of a train seat and it uses the payment-service to execute a payment transaction
-
app: is the starting point and it emulates a user that starts the transaction to buy both flight and train tickets
The starting point is a REST endpoint that creates a request for a new reservation and there is 15% probability that the payment service fails.
The communication between services and LRA coordinator (blue connectors) is via HTTP protocol, so every service expose REST endpoints called by the LRA, moreover it calls LRA via REST endpoint
The communication between services (red connectors) is via AMQ broker (using OPENWIRE protocol), implemented using Camel JMS component and RequestReply EIP obtaining a synchronous behavior using asynchronous protocol
In the logs there will be all the messages about the execution of the service.
First the app starts the saga LRA, passing the id to the entry point REST
#local environment
curl -X POST http://localhost:8084/api/saga?id=1
#Openshift cluster
curl -X POST "http://$(oc get route camel-example-spring-boot-saga-app -o go-template --template='{{.spec.host}}')/api/saga?id=1"
in the log
Executing saga #1 with LRA http://localhost:8080/lra-coordinator/0_ffff7f000001_8aad_62d16f11_2
where the URL contains the id of the LRA and the number of the saga is the value of the parameter passed to the rest in the starting point
We’re expecting that if the payment is ok, the message in the payment service will be:
Paying train for order #1
Payment train done for order #1 with payment transaction xxxxx
Payment flight done for order #1 with payment transaction xxxxx
the value of the payment transaction is the JMSCorrelationID
used in the RequestReply EIP in the payment service
If the random failure occurs, the log in the payment service will be
Payment flight for saga #65 fails!
Payment for order #65 has been cancelled
It means that the compensation for the payment has been called, so we expect that in the flight service there will be a log
Flight purchase #65 has been cancelled due to payment failure
in the train service
Train purchase #65 has been cancelled due to payment failure
in the app
Transaction http://localhost:8080/lra-coordinator/0_ffff7f000001_8aad_62d16f11_74 has been cancelled due to flight or train failure
-
oc
client installed (guide) -
already logged in into cluster (running
oc login
) -
destination project already created (running
oc new-project my-project
)
# if the cluster is enabled to create Persistent Volume Claims
./install-ocp.sh
# otherwise in ephemeral mode
./install-ocp-ephemeral.sh
Go to https://developers.redhat.com/developer-sandbox/get-started after login, click on Start using your sandbox
button.
Then login into the Openshift and copy the command login clicking on the link Copy Login Command
in the OpenShift console (the command will be something similar to oc login --token=sha256~xxxx --server=https://api.sandbox-xxxx.openshiftapps.com:6443
).
Select your project oc project xxxxxx-dev
Run that command on the terminal and then run the installation script ./install-ocp-ephemeral.sh
it will generate all the necessary PODs:
-
amq-broker
-
lra-coordinator
-
camel-example-spring-boot-saga-app
-
camel-example-spring-boot-saga-flight
-
camel-example-spring-boot-saga-payment
-
camel-example-spring-boot-saga-train
wait for all the pods to be ready:
# all running pods
oc get pods -l csbexample=saga
# only services
oc get pods -l csbexample=saga -l provider=jkube
tail logs of the application:
oc logs -f deploymentconfig/camel-example-spring-boot-saga-payment
-
docker compose
installed (guide)
./run-local.sh
It will generate all the necessary Docker containers and java processes, logs are stored in the .log
files, and process id in the .pid
files
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