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=Study= | |||
*https://hyperskill.org | |||
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*[https://maven.apache.org/guides/introduction/introduction-to-archetypes.html introduction-to-archetypes] | *[https://maven.apache.org/guides/introduction/introduction-to-archetypes.html introduction-to-archetypes] |
Edição das 16h56min de 12 de abril de 2019
Study
Maven
mvn archetype:generate -DartifactId=teste -DgroupId=br.com.clusterlab -DinteractiveMode=false -DarchetypeArtifactId=maven-archetype-quickstart
Arguments
- JMXRemote
-Dcom.sun.management.jmxremote -Dcom.sun.management.jmxremote.port=18001 -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.authenticate=false
- Change server port
java -jar target/HelloWorld-0.1.0.jar --server.port=8091
IDES
Spring
BOOT
Data Flow
- Spring Cloud Data Flow
- Spring Cloud Data Flow Reference Guide
- Orchestrating Data Microservices with Spring Cloud Data Flow
- GIT
Cloud Stream APPs Starter
Docker
Deploy on Kubernetes
apiVersion: v1
kind: Service
metadata:
name: internal-app
annotations:
service.beta.kubernetes.io/azure-load-balancer-internal: "true"
spec:
type: LoadBalancer
ports:
- port: 80
selector:
app: internal-app
SHELL
dataflow:>app import --uri http://bit.ly/Einstein.GA-stream-applications-kafka-10-maven dataflow:>stream create --name mysqlstream --definition "http --server.port=8787 | jdbc --tableName=names --columns=name --spring.datasource.driver-class-name=org.mariadb.jdbc.Driver --spring.datasource.url='jdbc:mysql://localhost:3306/test'" --deploy dataflow:>stream list
JAVA DSL
- https://docs.spring.io/spring-cloud-dataflow-samples/docs/current/reference/htmlsingle/
- Deploying a stream programmaticaly