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VectorCAST Jenkins Pipeline Plugin Overview

Last updated: 2020-04-16

Background - What is a Jenkins Pipeline

A Jenkins Pipeline is a user-defined model of a continuous delivery (CD) system for your software. VectorCAST Pipeline Job is a model based on configuration information the user provides during the initial setup of the Pipeline Job.   

VectorCAST Pipeline Stages

The VectorCAST Pipeline Job is broken up into multiple stages:

  • Previous Stage - A placeholder for stage(s) coming before VectorCAST
  • Single Checkout - A stage for checking out the source and VectorCAST project information a single time for the entire pipeline. 
  • Get Environment Info - This stage queries the VectorCAST Project to determine which VectorCAST Test Environments to run
  • Build Execute Stage - This is the dynamically generated stage spawning a job for each VectorCAST Test Environments
  • Generate Overall Reports - This stage generates the reports for the VectorCAST project
  • Check Build Log - This stage searches the build log for common errors in the previous stages
  • Next Stage - A placeholder for stage(s) coming after VectorCAST

Parallelizing VectorCAST Test Environments

The Build Execute Stage of the VectorCAST Pipeline Job will spawn a single job for every enabled VectorCAST Test Environment. Each job is restricted to execution on a Node (machine which is part of the Jenkins environment) that has a matching label in the Node configuration. You can restrict the number of simultaneous jobs running by limiting the number of executors on each Node. A user may want to limit the number of executors because of limited hardware, limited tool licenses, or limited CPUs. Jobs are launched in parallel but may be queued on a certain node waiting for an available executor.

For example, a node that supports host based tests may have a large number of executors where a node that supports a hardware based connection may be limited to one executors.  

For more general information on Jenkins Pipeline Jobs see  https://jenkins.io/doc/book/pipeline

 
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2020-04-16
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