c753b98a76
Updated partitioned sample readme Updated samples base boot version Updated jpa sample to use jakarta
33 lines
1.1 KiB
Plaintext
33 lines
1.1 KiB
Plaintext
= Partitioned Job
|
|
|
|
An example of the usage of the `DeployerPartitionHandler` and
|
|
`DeployerStepExecutionHandler` to partition a Spring Batch job.
|
|
|
|
== Requirements:
|
|
|
|
* Java 17 or Above
|
|
|
|
== Build:
|
|
|
|
[source,shell,indent=2]
|
|
----
|
|
$ ./mvnw clean install
|
|
----
|
|
|
|
== Execute:
|
|
|
|
[source,shell,indent=2]
|
|
----
|
|
export SPRING_APPLICATION_JSON='{"spring.datasource.url":"jdbc:mariadb://localhost:3306/<your database>","spring.datasource.password":"<your password>","spring.datasource.username":"<your username>","spring.datasource.driverClassName":"org.mariadb.jdbc.Driver"}'
|
|
java -jar target/partitioned-batch-job-3.0.0.jar
|
|
----
|
|
|
|
NOTE: This example will use require a MySql RDBMS repository and currently uses the mariadb jdbc driver to connect.
|
|
You can changes this another driver based on your needs.
|
|
|
|
NOTE: Since this example uses the Spring Cloud Deployer Local to launch the partitions, you will need to establish the datasource settings using the SPRING_APPLICATION_JSON environment property as shown above.
|
|
|
|
== Dependencies:
|
|
|
|
A datasource (not in memory) must be configured based on normal Spring Boot conventions
|
|
(application.properties/application.yml/environment variables/etc). |