Скачать или смотреть Resolving the Cannot write: Broken pipe Error while Creating Tar Files in Concourse Pipelines

Discover how to fix the `Cannot write: Broken pipe` error when deploying code through Concourse pipelines with this step-by-step guide.
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Dealing with the Cannot write: Broken pipe Error in Concourse Pipelines

Deploying code efficiently is vital for any developer, especially when working with continuous integration and delivery systems like Concourse. However, encountering errors during deployment can be frustrating and time-consuming. One common error that may arise, particularly when dealing with file archiving, is the Cannot write: Broken pipe error from the tar utility. In this guide, we’ll explore this issue in detail and outline how to resolve it effectively.

Understanding the Error

The Context

Suppose you're deploying your code pipeline that requires you to archive a Python file (processing.py) and upload it to an S3 bucket. During deployment, you run a command using the tar utility to create a compressed .tar.gz file. However, instead of a successful archive, you encounter the following error messages:

Cannot open: No such file or directory

Cannot write: Broken pipe

These messages indicate that there's an issue with the commands you're executing, specifically regarding file paths and writing permissions.

The Cause

The error most likely stems from the script structure within your Concourse pipeline. The script attempted to change directories into the templates/training/scripts folder before executing the tar command, which attempts to write the output tar file using a relative path. However, if the path doesn't exist or is incorrect at the time of execution, you'll run into the Broken pipe error.

How to Resolve the Issue

To fix the issue, you have a couple of options. The right choice depends on the location of your preprocessing.py file and how your directory structure is set up.

Solution 1: Remove the Change Directory Command

If your processing.py file is already located in the same directory where the tar command is run, you can simply remove the cd templates/training/scripts command. This way, you’ll execute the tar command directly in the correct directory.

Steps:

Edit Your Script: Remove or comment out the line that changes the directory, maintaining the other necessary script commands.

Run the Pipeline Again: Deploy your code through the pipeline to observe if the error is resolved.

Solution 2: Update the Tar Command with Correct Paths

If you prefer to keep the directory change but ensure that your .tar.gz file is created correctly, modify the tar command to use a relative path explicitly.

Steps:

Modify the Tar Command: Change the command from:

[[See Video to Reveal this Text or Code Snippet]]

To:

[[See Video to Reveal this Text or Code Snippet]]

This indicates that the output file will be created in the current directory instead, assuming preprocessing.py is also in that folder.

Verify File Existence: Confirm the existence of the preprocessing.py file within the same directory where the tar command is executed.

Deploy Again: Retry the deployment to check if the issues have been resolved.

Conclusion

Deploying code through complex systems like Concourse can sometimes lead to errors that may halt your progress. However, by understanding the context of the error messages like Cannot write: Broken pipe and following a structured approach to troubleshoot the cause, you can restore your deployment flow effectively. Remember to pay special attention to directory structures and file paths, as they play a significant role in how commands are executed in a pipeline environment. Happy coding!