Use CI Run steps
You can use a Run step to run commands or scripts in a CI pipeline. Here are some examples of different ways you can use Run steps.
- Run tests
- Install dependencies
- Specify versions
- Clone a repo
- Run scripts
This example runs pytest
, includes code coverage, and produces a report in JUnit XML format.
- step:
type: Run
name: Run pytest
identifier: Run_pytest
spec:
connectorRef: account.harnessImage
image: python:latest
shell: Sh
command: |-
echo "Welcome to Harness CI"
uname -a
pip install pytest
pip install pytest-cov
pip install -r requirements.txt
pytest -v --cov --junitxml="result.xml" test_api.py test_api_2.py test_api_3.py
echo "Done"
reports:
type: JUnit
spec:
paths:
- "**/*.xml"
In Harness CI, you can use test splitting (parallelism) to improve test times for any language or test tool.
This example installs Go dependencies.
- step:
type: Run
identifier: dependencies
name: Dependencies
spec:
shell: Sh
command: |-
go get example.com/my-go-module
This example uses a Run step to select a version of Xcode.
- step:
type: Run
name: set_xcode_version
identifier: set_xcode_version
spec:
shell: Sh
command: |-
sudo xcode-select -switch /Applications/Xcode_15.1.0.app
xcodebuild -version
This example clones a GitHub repository.
- step:
type: Run
identifier: clone
name: clone
spec:
shell: Sh
command: |-
git clone https://GH_PERSONAL_ACCESS_TOKEN@github.com/ACCOUNT_NAME/REPO_NAME.git
To use this command, you would replace:
ACCOUNT_NAME
with your GitHub account name.REPO_NAME
with the name of the GitHub repo to clone.PERSONAL_ACCESS_TOKEN
with a GitHub personal access token that has pull permissions to the target repository. Additional permissions may be necessary depending on the Action's purpose. Store the token as a Harness secret and use a variable expression, such as<+secrets.getValue("YOUR_TOKEN_SECRET")>
, to call it.
Run steps are highly versatile, and you can use them to run all manner of individual commands or multi-line scripts.
For example, this step produces output variables from Terraform value. This step is from the Terraform notifications trigger tutorial, and these output variables are used by another step later in the same pipeline.
- step:
type: Run
name: Terraform Outputs
identifier: tf_outputs
spec:
connectorRef: account.harnessImage
image: kameshsampath/kube-dev-tools
shell: Sh
command: |-
cd /harness/vanilla-gke/infra
terraform init
GCP_PROJECT=$(terraform output -raw project-name)
GCP_ZONE=$(terraform output -raw zone)
GKE_CLUSTER_NAME=$(terraform output -raw kubernetes-cluster-name)
envVariables:
TF_TOKEN_app_terraform_io: <+secrets.getValue("terraform_cloud_api_token")>
TF_WORKSPACE: <+trigger.payload.workspace_name>
TF_CLOUD_ORGANIZATION: <+trigger.payload.organization_name>
outputVariables:
- name: GCP_PROJECT
- name: GCP_ZONE
- name: GKE_CLUSTER_NAME
imagePullPolicy: Always
description: Get the outputs of terraform provision
Consider creating plugins for scripts that you reuse often.
Add the Run step
You need a CI pipeline with a Build stage where you'll add the Run step.
In order for the Run step to execute your commands, the build environment must have the necessary binaries for those commands. Depending on the stage's build infrastructure, Run steps can use binaries that exist in the build environment or pull an image, such as a public or private Docker image, that contains the required binaries. For more information about when and how to specify images, go to the Container registry and image settings.
- Visual
- YAML
- Go to the Build stage in the pipeline where you want to add the Run step.
- On the Execution tab, select Add Step, and select the Run step from the Step Library.
- Configure the Run step settings and then select Apply Changes to save the step.
In Harness, go to the pipeline where you want to add the Run
step. In the CI
stage, add a Run
step and configure the Run step settings.
- step:
type: Run
name: run pytest # Specify a name for the step.
identifier: run_pytest # Define a step ID, usually based on the name.
spec:
connectorRef: account.harnessImage # Specify a container registry, if required.
image: python:latest # Specify an image, if required.
shell: Sh
command: |- # Provide your commands
pytest test_main.py --junit-xml=output-test.xml
Run step settings
The CI Run step has the following settings.
Depending on the stage's build infrastructure, some settings might be unavailable or optional. Settings specific to containers, such as Set Container Resources, are not applicable when using the step in a stage with VM or Harness Cloud build infrastructure.
Metadata
- Name: Enter a name summarizing the step's purpose. Harness automatically assigns an ID based on the Name.
- Description: Optional text string describing the step's purpose.
Container Registry and Image
Container Registry and Image ensure that the build environment has the binaries necessary to execute the commands that you want to run in this step. For example, a cURL script may require a cURL image, such as curlimages/curl:7.73.0
.
When are Container Registry and Image required?
The stage's build infrastructure determines whether these fields are required or optional:
- Kubernetes cluster build infrastructure: Container Registry and Image are always required.
- Local runner build infrastructure: Run steps can use binaries available on the host machine. The Container Registry and Image are required if the machine doesn't have the binary you need.
- Self-managed AWS/GCP/Azure VM build infrastructure: Run steps can use binaries that you've made available on your build VMs. The Container Registry and Image are required if the VM doesn't have the necessary binaries. These fields are located under Optional Configuration for stages that use self-managed VM build infrastructure.
- Harness Cloud build infrastructure: Run steps can use binaries available on Harness Cloud machines, as described in the image specifications. The Container Registry and Image are required if the machine doesn't have the binary you need. These fields are located under Optional Configuration for stages that use Harness Cloud build infrastructure.
What are the expected values for Container Registry and Image?
For Container Registry, provide a Harness container registry connector, such as a Docker connector, that connects to a container registry, such as Docker Hub, where the Image is located.
For Image, provide the FQN (fully-qualified name) or artifact name and tag of the Docker image to use when this step runs commands, for example us.gcr.io/playground-123/quickstart-image
or maven:3.8-jdk-11
. If you don't include a tag, Harness uses the latest
tag.
You can use any Docker image from any Docker registry, including Docker images from private registries. Different container registries require different name formats, for example:
- Docker Registry: Input the name of the artifact you want to deploy, such as
library/tomcat
. Wildcards aren't supported. FQN is required for images in private container registries. - ECR: Input the FQN of the artifact you want to deploy. Images in repos must reference a path, for example:
40000005317.dkr.ecr.us-east-1.amazonaws.com/todolist:0.2
. - GCR: Input the FQN of the artifact you want to deploy. Images in repos must reference a path starting with the project ID that the artifact is in, for example:
us.gcr.io/playground-243019/quickstart-image:latest
.
Pulling images from JFrog Artifactory Docker registries
If you need to pull images from a JFrog Artifactory Docker registry, create a Docker connector that connects to your JFrog instance. Don't use the Harness Artifactory connector - The Artifactory connector only supports JFrog non-Docker registries.
To create a Docker connector for a JFrog Docker registry:
- Go to Connectors in your Harness project, organization, or account resources, and select New Connector.
- Select Docker Registry under Artifact Repositories.
- Enter a Name for the connector. The Description and Tags are optional.
- For Provider Type, Select Other.
- In Docker Registry URL, enter your JFrog URL, such as
https://mycompany.jfrog.io
. - In the Authentication settings, you must use Username and Password authentication.
- Username: Enter your JFrog username.
- Password: Select or create a Harness text secret containing the password corresponding with the Username.
- Complete any other settings and save the connector. For information all Docker Registry connector settings, go to the Docker connector settings reference.
The JFrog URL format depends on your Artifactory configuration, and whether your Artifactory instance is local, virtual, remote, or behind a proxy. To get your JFrog URL, you can select your repo in your JFrog instance, select Set Me Up, and get the repository URL from the server name in the docker-login
command.
For more information, go to the JFrog documentation on Repository Management and Configuring Docker Repositories.
Shell and Command
Use these fields to define the commands that you need to run in this step.
For Shell, select the shell type. Options include: Bash, PowerShell, Pwsh (PowerShell Core), Sh, and Python. If the step includes commands that aren't supported for the selected shell type, the build fails. Required binaries must be available on the build infrastructure or through a specified Container Registry and Image.
In the Command field, enter POSIX shell script commands for this step. The script is invoked as if it were the entry point. If the step runs in a container, the commands are executed inside the container.
- Bash
- PowerShell
- Pwsh (PowerShell Core)
- Sh
- Python
For Bash, set the shell
to Bash
and enter your Bash script in command
. For example, the following step runs a Bash script that checks the Java version:
- step:
...
spec:
shell: Bash
command: |-
JAVA_VER=$(java -version 2>&1 | head -1 | cut -d'"' -f2 | sed '/^1\./s///' | cut -d'.' -f1)
if [[ $JAVA_VER == 17 ]]; then
echo successfully installed $JAVA_VER
else
exit 1
fi
For PowerShell, set the shell
to Powershell
and enter your PowerShell script in command
, for example:
- step:
...
spec:
shell: Powershell
command: Wait-Event -SourceIdentifier "ProcessStarted"
You can run PowerShell commands on Windows VMs running in AWS build farms.
You can run PowerShell Core commands in pods or containers that have pwsh
installed. For PowerShell Core, set the shell
to Pwsh
and enter your PowerShell Core script in command
. For example, this step runs ForEach-Object
over a list of events.
- step:
...
spec:
shell: Pwsh
command: |-
$Events = Get-EventLog -LogName System -Newest 1000
$events | ForEach-Object -Begin {Get-Date} -Process {Out-File -FilePath Events.txt -Append -InputObject $_.Message} -End {Get-Date}
You can use the Sh
option to run any shell script, provided the necessary binaries are available. For example, this step pulls the latest python
image and then executes a shell script (Sh
) that runs pytest
with code coverage.
- step:
...
spec:
connectorRef: account.harnessImage
image: python:latest
shell: Sh
command: |-
echo "Welcome to Harness CI"
uname -a
pip install pytest
pip install pytest-cov
pip install -r requirements.txt
pytest -v --cov --junitxml="result.xml" test_api.py test_api_2.py test_api_3.py
For Python, set the shell
to python
and enter your Python commands in command
, for example:
steps:
- step:
...
spec:
shell: Python
command: |-
print('Hello, world!')
Reference background services
You can reference services started in Background steps by using the Background step's Id in your Run step's Command. For example, a cURL command could call BackgroundStepId:5000
where it might otherwise call localhost:5000
. The exact format depends on your build infrastructure. For more information, go to Background step settings - Name and ID and Background step settings - Port Bindings.
If the Background step is inside a step group, you must include step group ID, such as StepGroupId_BackgroundStepId:5000
, even if both steps are in the same step group.
Scripts that produce output variables
If your script produces an output variable, you must declare the output variable in the Run step's Output Variables. For example, the following step runs a python
script that defines an output variable called OS_VAR
, and OS_VAR
is also declared in the outputVariables
.
- step:
type: Run
name: Run_2
identifier: Run_2
spec:
shell: Python
command: |-
import os
os.environ["OS_VAR"] = value
outputVariables:
- name: OS_VAR
Images without a shell
To support Docker images without a shell, the Command field is optional. You must provide either Image, Command, or both. If you provide only Image, Harness runs the image entrypoint.
If Command is empty or omitted, then Harness ignores Shell. The default value for Shell is Sh
; however the presence of Shell doesn't require Command.
Report Paths
If relevant to the commands in your Run step, you can specify one or more paths to files that store test results in JUnit XML format. You can add multiple paths. If you specify multiple paths, make sure the files contain unique tests to avoid duplicates. Glob is supported.
This setting is required for the Run step to be able to publish test results.
For example, this step runs pytest
and produces a test report in JUnit XML format.
- step:
type: Run
name: Pytest
identifier: Pytest
spec:
shell: Sh
command: |-
pytest test_main.py --junit-xml=output-test.xml
reports:
type: JUnit
spec:
paths:
- output-test.xml
Environment Variables
You can inject environment variables into the step container and use them in the commands executed in this step. You must input a Name and Value for each variable.
You can reference environment variables by name in commands. For example, a Bash script would use $var_name
or ${var_name}
, and a Windows PowerShell script would use $Env:varName
.
Variable values can be fixed values, runtime inputs, or expressions. For example, if the value type is expression, you can input a value that references the value of some other setting in the stage or pipeline.
Stage variables are inherently available to steps as environment variables.
Output Variables
Output variables expose values for use by other steps or stages in the pipeline.
YAML example: Output variable
In the following YAML example, step alpha
exports an output variable called myVar
, and then step beta
references that output variable.
- step:
type: Run
name: alpha
identifier: alpha
spec:
shell: Sh
command: export myVar=varValue
outputVariables:
- name: myVar
- step:
type: Run
name: beta
identifier: beta
spec:
shell: Sh
command: |-
echo <+steps.alpha.output.outputVariables.myVar>
echo <+execution.steps.alpha.output.outputVariables.myVar>
- Secrets in output variables exposed in logs: If an output variable value contains a secret, be aware that the secret will be visible in the build details. Such secrets are visible on the Output tab of the step where the output variable originates and in the build logs for any later steps that reference that variable. For information about best practices for using secrets in pipelines, go to the Secrets documentation.
- 64KB length limit: If an output variable's length is greater than 64KB, steps can fail or truncate the output. If you need to export large amounts of data, consider uploading artifacts or exporting artifacts by email.
- Single line limit: Output variables don't support multi-line output. Content after the first line is truncated. If you need to export multi-line data, consider uploading artifacts or exporting artifacts by email.
- Exit Codes: In the event that an exit code is defined and set in the script, the output variables will not be available as an output from the step because it is a "forced" exit. The output from the step will be empty which can be desired depending on the situation.
This includes
exit 0
definitions. Therefore, customers should not define an exit 0 situation, as "completing the script" to the end is what is expected as a "healthy" completion of the script.
Create an output variable
To create an output variable, do the following in the step where the output variable originates:
-
In the Command field, export the output variable. For example, the following command exports a variable called
myVar
with a value ofvarValue
:export myVar=varValue
-
In the step's Output Variables, declare the variable name, such as
myVar
.
Reference an output variable
To reference an output variable in a later step or stage in the same pipeline, use a variable expression that includes the originating step's ID and the variable's name.
Use either of the following expressions to reference an output variable in another step in the same stage:
<+steps.[stepID].output.outputVariables.[varName]>
<+execution.steps.[stepID].output.outputVariables.[varName]>
To reference an output variable in a stage other than the one where the output variable originated, use either of the following expressions:
<+stages.[stageID].spec.execution.steps.[stepID].output.outputVariables.[varName]>
<+pipeline.stages.[stageID].spec.execution.steps.[stepID].output.outputVariables.[varName]>
Early access feature: Secret type selection
Currently, this early access feature is behind the feature flags CI_ENABLE_OUTPUT_SECRETS
and CI_SKIP_NON_EXPRESSION_EVALUATION
. Contact Harness Support to enable the feature.
You can enable type selection for output variables in Run steps.
If you select the Secret type, Harness treats the output variable value as a secret and applies secrets masking where applicable.
Early access feature: Output variables as environment variables
Currently, this early access feature is behind the feature flag CI_OUTPUT_VARIABLES_AS_ENV
. Contact Harness Support to enable the feature.
With this feature flag enabled, output variables from steps are automatically available as environment variables for other steps in the same Build (CI
) stage. This means that, if you have a Build stage with three steps, an output variable produced from step one is automatically available as an environment variable for steps two and three.
In other steps in the same stage, you can refer to the output variable by its key without additional identification. For example, an output variable called MY_VAR
can be referenced later as simply $MY_VAR
. Without this feature flag enabled, you must use an expression to reference the output variable, such as <+steps.stepID.output.outputVariables.MY_VAR>
.
With or without this feature flag, you must use an expression when referencing output variables across stages, for example:
name: <+stages.[stageID].spec.execution.steps.[stepID].output.outputVariables.[varName]>
name: <+pipeline.stages.[stageID].spec.execution.steps.[stepID].output.outputVariables.[varName]>
YAML examples: Referencing output variables
In the following YAML example, a step called alpha
exports an output variable called myVar
, and then a step called beta
references that output variable. Both steps are in the same stage.
- step:
type: Run
name: alpha
identifier: alpha
spec:
shell: Sh
command: export myVar=varValue
outputVariables:
- name: myVar
- step:
type: Run
name: beta
identifier: beta
spec:
shell: Sh
command: |-
echo $myVar
The following YAML example has two stages. In the first stage, a step called alpha
exports an output variable called myVar
, and then, in the second stage, a step called beta
references that output variable.
- stage:
name: stage1
identifier: stage1
type: CI
spec:
...
execution:
steps:
- step:
type: Run
name: alpha
identifier: alpha
spec:
shell: Sh
command: export myVar=varValue
outputVariables:
- name: myVar
- stage:
name: stage2
identifier: stage2
type: CI
spec:
...
execution:
steps:
- step:
type: Run
name: beta
identifier: beta
spec:
shell: Sh
command: |-
echo <+stages.stage1.spec.execution.steps.alpha.output.outputVariables.myVar>
If multiple variables have the same name, variables are chosen according to the following hierarchy:
- Environment variables defined in the current step
- Output variables from previous steps
- Stage variables
- Pipeline variables
This means that Harness looks for the referenced variable within the current step, then it looks at previous steps in the same stage, and then checks the stage variables, and, finally, it checks the pipeline variables. It stops when it finds a match.
If multiple output variables from previous steps have the same name, the last-produced variable takes priority. For example, assume a stage has three steps, and steps one and two both produce output variables called NAME
. If step three calls NAME
, the value of NAME
from step two is pulled into step three because that is last-produced instance of the NAME
variable.
For stages that use looping strategies, particularly parallelism, the last-produced instance of a variable can differ between runs. Depending on how quickly the parallel steps execute during each run, the last step to finish might not always be the same.
To avoid conflicts with same-name variables, either make sure your variables have unique names or use an expression to specify a particular instance of a variable, for example:
name: <+steps.stepID.output.outputVariables.MY_VAR>
name: <+execution.steps.stepGroupID.steps.stepID.output.outputVariables.MY_VAR>
YAML examples: Variables with the same name
In the following YAML example, step alpha
and zeta
both export output variables called myVar
. When the last step, beta
, references myVar
, it gets the value assigned in zeta
because that was the most recent instance of myVar
.
- step:
type: Run
name: alpha
identifier: alpha
spec:
shell: Sh
command: export myVar=varValue1
outputVariables:
- name: myVar
- step:
type: Run
name: zeta
identifier: zeta
spec:
shell: Sh
command: export myVar=varValue2
outputVariables:
- name: myVar
- step:
type: Run
name: beta
identifier: beta
spec:
shell: Sh
command: |-
echo $myVar
The following YAML example is the same as the previous example except that step beta
uses an expression to call the value of myVar
from step alpha
.
- step:
type: Run
name: alpha
identifier: alpha
spec:
shell: Sh
command: export myVar=varValue1
outputVariables:
- name: myVar
- step:
type: Run
name: zeta
identifier: zeta
spec:
shell: Sh
command: export myVar=varValue2
outputVariables:
- name: myVar
- step:
type: Run
name: beta
identifier: beta
spec:
shell: Sh
command: |-
echo <+steps.alpha.output.outputVariables.myVar>
Additional container settings
Settings specific to containers are not applicable in a stages that use VM or Harness Cloud build infrastructure.
Privileged
Enable this option to run the container with escalated privileges. This is equivalent to running a container with the Docker --privileged
flag.
Image Pull Policy
If you specified a Container Registry and Image, you can specify an image pull policy:
- Always: The kubelet queries the container image registry to resolve the name to an image digest every time the kubelet launches a container. If the kubelet encounters an exact digest cached locally, it uses its cached image; otherwise, the kubelet downloads (pulls) the image with the resolved digest, and uses that image to launch the container.
- If Not Present: The image is pulled only if it is not already present locally.
- Never: The image is assumed to exist locally. No attempt is made to pull the image.
Run as User
If you specified a Container Registry and Image, you can specify the user ID to use for running processes in containerized steps.
For a Kubernetes cluster build infrastructure, the step uses this user ID to run all processes in the pod. For more information, go to Set the security context for a pod.
Set Container Resources
Maximum resources limits for the resources used by the container at runtime:
- Limit Memory: Maximum memory that the container can use. You can express memory as a plain integer or as a fixed-point number with the suffixes
G
orM
. You can also use the power-of-two equivalents,Gi
orMi
. Do not include spaces when entering a fixed value. The default is500Mi
. - Limit CPU: The maximum number of cores that the container can use. CPU limits are measured in CPU units. Fractional requests are allowed. For example, you can specify one hundred millicpu as
0.1
or100m
. The default is400m
. For more information, go to Resource units in Kubernetes.
Timeout
Set the timeout limit for the step. Once the timeout limit is reached, the step fails and pipeline execution continues. To set skip conditions or failure handling for steps, go to:
Run step logs and test results
During and after pipeline runs, you can find step logs on the Build details page.
If your pipeline runs tests, you can view test reports on the Build details page.
Troubleshoot script execution (Run steps)
Go to the CI Knowledge Base for questions and issues related to script execution and using Run steps, such as:
- Can I use an image that doesn't have a shell in a Run step?
- Is a Docker image required to use the Run step on local runner build infrastructure?
- When attempting to export an output variable from a Run step using a Python shell, the step fails with "no such file or directory"
- What does the "Failed to get image entrypoint" error indicate in a Kubernetes cluster build?
- Does the Harness Run step overwrite the base image container entry point?
- Why is the default entry point not running for the container image used in the Run step?
- How do I start a service started in a container that would usually be started by the default entry point?
- How do I run the default entry point of the image used in the Run step?
- Does CI support running Docker-in-Docker images?
- Can't connect to Docker daemon with Docker-in-Docker Background step.
- Concatenated variable values in PowerShell scripts print to multiple lines