Hi, Jenkins friends.I wish that I'm in the right place that post these Jenkins usage question.
I find that the Scriped Pipeline parallel works like threads.Unlike the Declarative Pipeline parallel,the Scriped Pipeline parallel just use one executor.Closure in parallel parameters works like a thread. My question is: 1.Does Jenkins garantee the data thread safety of parallel closure internally? 2.Does I need to care about the thread safety of the commands that executes in scriped parallel closure? 3.Is there any limit of usage in the commands that executes in parallel?Can I use nested scripted parallel? Why the documentation of Declarative Pipeline parallel in Pipeline Syntax reference says that "Note that a stage must have one and only one of steps, stages, parallel, or matrix. It is not possible to nest a parallel or matrix block within a stage directive if that stage directive is nested within a parallel or matrix block itself." I test some nested Pipeline code that might cause thread race condition many times.Jekins always give the right answer that shared data is modified correctly.Is this thread safety garanteed in the design of Jenkins parallel directive? Pipeline code like this: pipeline{ agent any stages { stage('Parallel BuiLd') { steps { script { def i = 0 def data = 0 def builds = [:] stash name: 'src', include: 'src/**' //generate 1000 parallel block for (i = 0; i<1000; i++) { // make the Map of Closure builds["$i"] = { //modify shared data, need thread mutex lock? data++ //unstash or other command, need thread mutex lock? unstah name: 'src' def tests = [:] // ... generate tests Map // Can I use nested parallel? parallel tests } } parallel builds println data //It does always print 1000 } } } } } The variable data is always modified to 1000. So Jenkins garantee the thread safety of parallel? -- You received this message because you are subscribed to the Google Groups "Jenkins Users" group. To unsubscribe from this group and stop receiving emails from it, send an email to jenkinsci-users+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/jenkinsci-users/tencent_75B0721D209C90240BAB4ABAFC56AAE1260A%40qq.com.