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Introduction

Building continuous delivery pipelines and similarly complex tasks in Jenkins using freestyle projects and traditional plugins can be awkward. You need to mix Parameterized Trigger, Copy Artifact, Promoted Builds, Conditional Build Step, and more just to express what should be a simple script. The Workflow plugin suite attempts to make it possible to directly write that script, what people often call a workflow (sometimes abbreviated flow), while integrating with Jenkins features like slaves and publishers.

Features

Scripted control flow

Your whole workflow is a single Groovy script using an embedded DSL, possibly quite short and legible; there is no need to jump between multiple job configuration screens to see what is going on. Conditions, loops, variables, parallel tasks, and so on are defined using regular language constructs. At any point you can insert a shell/batch script to do “real work” (compilation, etc.).

Useful steps

Standard DSL functions (“steps”) let you run external processes, grab slave nodes and workspaces, perform SCM checkouts, build other projects (workflow or freestyle), wait for external conditions, and so on. Plugins can add further steps.

Pause and resume execution

If Jenkins is restarted (intentionally, or because of a crash) while your workflow is running, when it comes back up, execution is resumed where it left off. This applies to external processes (shell scripts) so long as the slave can be reattached, and losing the slave connection temporarily is not fatal either.

Flows can pause in the middle and wait for a human to approve something, or enter some information. Executors need not be consumed while the flow is waiting.

Pipeline stages

Workflows can be divided into sequential stages, not only for labeling but to throttle concurrency.

Getting started

Read the tutorial to get started writing workflows.

Installation

Releases are available on the Jenkins update center. You need to be running a sufficiently recent Jenkins release: an LTS in the 1.580.x line or newer (currently 1.596.x for the latest updates), or a weekly release. See the changelog for news.

For OSS Jenkins users, install Workflow: Aggregator (its dependencies will be pulled in automatically). You will need to restart Jenkins to complete installation.

CloudBees Jenkins Enterprise users get Workflow automatically as of the 14.11 (1.580.1.1) release. Otherwise install CloudBees Workflow: Aggregator from the update center. Again dependencies will be pulled in automatically, including all the OSS plugins.

News & questions

Demo

See the demo overview using Docker if you want to try a complete setup quickly. In short:

docker run -p 8080:8080 -p 8081:8081 -p 8022:22 -ti jenkinsci/workflow-demo

and browse localhost:8080.

Presentations

Jenkins Workflow: What’s Up? (JUC West) (Sep 2015): slides and accompanying demo

Jenkins Office Hour on Workflow for plugin developers (Aug 2015): video

Workflow Meetup London (Mar 2015): slides

Jenkins Workflow Screencast (Jan 2015): video

Webinar Orchestrating the Continuous Delivery Process in Jenkins with Workflow (Dec 2014): video

Detailed guides

Reusing build steps from freestyle projects

Using version control from a workflow

Using the global Groovy class library

Development

Running from sources

If you want to try running recent development changes, rather than released binaries, you have two options. You can run directly from the source tree; from the root of the repository:

mvn -DskipTests clean install && mvn -f aggregator hpi:run

Then visit http://localhost:8080/jenkins/ to play with the plugins.

(If your IDE supports compile-on-save mode this is especially convenient since each hpi:run will pick up compiled changes from member plugins without needing to run to package phase.)

You can also run the Docker demo with snapshot binaries:

make -C demo run-snapshot

The snapshot Docker demo is mainly useful for verifying the effect of ongoing changes on future demo binary releases. You get the cd sample job set up, but your environment is thrown away if you kill the Docker container (for example with Ctrl-C). When using hpi:run the same aggregator/work/ home directory is reused so long as you do not explicitly delete it.

Source organization

While the implementation is divided into a number of plugins, for ease of prototyping they are all kept in one repository using snapshot dependencies.

  • step-api defines a generic build step interface (not specific to flows) that many plugins could in the future depend on.
  • basic-steps add some generic step implementations. There is more documentation there.
  • api defines the essential aspects of flows and their executions. In particular, the engine running a flow is extensible and so could in the future support visual orchestration languages.
  • support adds general implementations of some internals needed by flows, such as storing state.
  • job provides the actual job type and top-level UI for defining and running flows.
  • durable-task-step uses the durable-task plugin to define a shell script step that can survive restarts.
  • scm-step adds SCM-related steps. There is more documentation there.
  • cps is the flow engine implementation based on the Groovy language, and supporting long-running flows using a continuation passing style transformation of the script.
  • cps-global-lib adds a Git-backed repository for Groovy libraries available to scripts.
  • stm is a simple engine implementation using a state transition machine, less intended for end users than as a reference for how engines can work. Currently only partly implemented.
  • aggregator is a placeholder plugin allowing you to mvn hpi:run and see everything working together, as well as holding integration tests.

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