Solved: Nested steps inside a parallel step?

Although you can use return in the main workflowto stop a workflow's execution, return steps are not allowed inside a branchor loop step. To return one or more values from a branch, use a shared variableinstead. The following diagram illustrates how the concurrency_limit applies only to the current parallel step and is not inherited by any nested parallel steps. To optimize performance, variables should not be marked shared if they areintended to be read-only and not assigned within a parallel step. In the above example, the frontend and backend steps are executed in parallel. The pipeline runner will not execute the publish step until the group completes.

• You may not place the deprecated non-block-scoped stage (as in the original question) inside parallel.
• The configurable task executor is used to specify which TaskExecutorimplementation should be used to execute the individual flows.
• Before we dive in, let‘s briefly cover why parallel stages should be in every Jenkins practitioner‘s toolbox.
• Parallel steps can reduce the total execution time for a workflow byperforming multiple blocking callsat the same time.
• Bitbucket Pipelines now allows steps with a manual trigger to be used in parallel groups, satisfying one of the highest voted feature requests.
• By following these guidelines and techniques, users can easily and efficiently manage multiple accounts or profiles without any hassle or inconvenience.

Top 10 Linux Code Tips (for the topic),

A. Link the last step of the package to its first step to create an infinite loop. C. Theintermediate integration table prefixed with I$ is createdbecause the flow control is mandatory when doing an initial load. Instead of sending indicators to a single threat intel vendor at a time, you can run parallel enrichments.

Example — using the parallel option to run two steps at the same time

Here is a step-by-step guide on how to use the “Island” app to run parallel apps. For most Jenkins users, executing pipeline stages sequentially is just how it‘s always been done. Running independent stages concurrently can radically improve pipeline performance. The document will be sent to all the parallel steps approvers simultaneously. Steps are a relatively simple feature to run through a series of executable steps on Argo.

Search code, repositories, users, issues, pull requests...

In this step-by-step guide, we will walk you through the process of running a parallel app, providing you with the knowledge and confidence to manage multiple accounts efficiently and effortlessly. The gridSize attribute determines the number of separate step executions to create, soit can be matched to the size of the thread pool in the TaskExecutor. Alternatively, itcan be set to be larger than the number of threads available, which makes the blocks ofwork smaller. If you are using experimental.executions.map to support parallel work, you canmigrate your workflow to use parallel steps instead, executing ordinaryfor loops in parallel. For examples, seeReplace experimental function with parallel step. Marking a variable as shared only affects the branches or for loop in thegiven parallel step.

Manual steps in parallel groups available for Pipelines

In the above example we define two pipeline steps, frontend and backend. I’ve just used mongodb as it seemed comfortable, but my implementation has some drawbacks with mongodb. The issue here is, that there is no MongoDB node to drop a colelction again.

Parallel Step and Associated Tracks

Parallel steps are intended to assist with such concurrentlong-running operations. If a workflow must perform multiple blocking calls thatare independent of each other, using parallel branches can reduce the totalexecution time by starting the calls at the same time, and waiting for all ofthem to complete. Drone supports parallel step execution for same-machine fan-in and fan-out. This instructs the pipeline runner to execute the named group in parallel. The configurable "task-executor" attribute is used to specify which TaskExecutor implementation should be used to execute the individual flows.

Step-by-step Guide: Running Parallel Apps Using The “Parallel Space” App

The default is SyncTaskExecutor, but an asynchronous TaskExecutor is required to run the steps in parallel. Note that the job will ensure that every flow in the split completes before aggregating the exit statuses and transitioning. Before diving into the examples, it’s important to understand what parallel execution means in the context of Jenkins. Parallel execution refers to the process of running multiple jobs or stages within a pipeline simultaneously, as opposed to serial execution, where each job waits for the previous one to finish before starting. custom made movable pool floor  would be great if we could simply branch off a job (or a step), and then execute another one starting from there. We read every piece of feedback, and take your input very seriously. You can check all step statuses in the Parameters Tab of the build results page... Moreover, parallel apps can also help you separate your personal and professional lives efficiently. With different instances of the same app, you can keep your personal data and work-related information separate and organized. A parallel step lets you have more than one current Tasks step running at the same time. This is done by defining between two to five parallel tracks of Task steps, all of which must be completed for the workflow to continue beyond the parallel step. The steps property contains the lists of steps in a stage or a parallel. Recipes are considered as a single step and thus cannot be split into parts performed before and after a checkout. An optional interface PartitioneNameProvider can be used to provide the partition names separately from the partitions themselves. If a Partitioner implements this interface then on a restart only the names will be queried. Obviously the names provided by the PartitioneNameProvider must match those provided by the Partitioner.

Steps in parallel?

After calculating the number of words across all the documents, theworkflow returns the total. For example, if your workflow must retrieve customer data from severalindependent systems before continuing, parallel branches allow for concurrentAPI requests. If there are five systems and each takes two seconds to respond,performing the steps sequentially in a workflow could take at least 10 seconds;performing them in parallel could take as little as two. The assigned value isdetermined (evaluating any specified expression), and written without anyintervening writes by other branches. src="https://progorki.com/wp-content/uploads/2025/07/rehab-pools.jpg" alt="progorki.com" width="1200" />