从上游Jenkins管道作业调用多个下游作业

我有两份基于管道的工作

父作业（具有字符串参数project1和project2）

子作业（具有字符串参数项目和版本）

父作业输出

[Pipeline] {
[Pipeline] stage
[Pipeline] { (Test)
[Pipeline] script
[Pipeline] {
[Pipeline] echo
Starting project2
[Pipeline] build (Building Child_Job)
Scheduling project: Child_Job
Starting building: Child_Job #18
[Pipeline] }
[Pipeline] // script
[Pipeline] }
[Pipeline] // stage
[Pipeline] }
[Pipeline] // node
[Pipeline] End of Pipeline
Finished: SUCCESS

我期望下游作业被调用两次（对于project1和project2），但它只被调用一次（对于project2）

---

此脚本是否有明显的问题？

似乎为

生成作业
步骤启用了
等待：true
选项。如果将其更改为
wait:false
，它将执行2次。我在这个测试管道上试过：

@NonCPS
def invokeDeploy(map) {
    for (entry in map) {
        echo "Starting ${entry.key}"
        build job: 'pipeline', quietPeriod: 2, wait: false
        echo "Completed ${entry.key}"
    }
}
pipeline {
    agent any

    stages {
        stage('Test') {
            steps {
                script {
                    def sampleMap = [first_job:'First', second_job:'Second']
                    invokeDeploy(sampleMap)
                }    
            }
        }
    }
}

没有
构建作业
步骤，它是否正常工作？只需
for（映射中的条目）{echo“Starting${entry.key}}
Yes。即使在调用构建步骤时没有参数，它也可以工作。如果使用参数thank you调用，则构建步骤似乎在一个循环后退出。我已经设置wait=true，以便子作业按顺序执行。然而，wait=false+禁止子作业上的并发构建也起作用
[Pipeline] {
[Pipeline] stage
[Pipeline] { (Test)
[Pipeline] script
[Pipeline] {
[Pipeline] echo
Starting project2
[Pipeline] build (Building Child_Job)
Scheduling project: Child_Job
Starting building: Child_Job #18
[Pipeline] }
[Pipeline] // script
[Pipeline] }
[Pipeline] // stage
[Pipeline] }
[Pipeline] // node
[Pipeline] End of Pipeline
Finished: SUCCESS

@NonCPS
def invokeDeploy(map) {
    for (entry in map) {
        echo "Starting ${entry.key}"
        build job: 'pipeline', quietPeriod: 2, wait: false
        echo "Completed ${entry.key}"
    }
}
pipeline {
    agent any

    stages {
        stage('Test') {
            steps {
                script {
                    def sampleMap = [first_job:'First', second_job:'Second']
                    invokeDeploy(sampleMap)
                }    
            }
        }
    }
}