Look at the displayed start and end times

Oct 13, 2025 by pynkocean.com 78 views

[Dashboard] Job Start and End Time are Not Updated for Daylight Savings

As we navigate the complexities of modern software development, ensuring the accuracy of time-sensitive data is crucial. In this article, we will delve into an issue where the displayed start and end time for jobs on a dashboard are not updated correctly for daylight savings. This problem can lead to confusion and potential errors in job scheduling and management. We will explore the root cause of this issue, provide a reproduction script, and discuss the severity of the problem.

The displayed start and end time for jobs on the dashboard is not correct. This discrepancy is evident when comparing the displayed time with the logs, which have the correct time. Furthermore, our submission ID includes the local datetime as a suffix, making it clear that the displayed time does not match the actual time. This issue is not only frustrating but also poses a significant challenge in managing and scheduling jobs accurately.

The following images demonstrate the issue:

The issue is being experienced with the following versions and dependencies:

Ray: 2.40.0
Python: 2.12.3

To reproduce the issue, follow these steps:

Spin up a Ray cluster: Create a Ray cluster using the specified version and dependencies.
Submit a job: Submit a job to the Ray cluster.
Look at the displayed start and end times: Observe the displayed start and end times for the job on the dashboard.

The severity of this issue is None, as it does not affect the functionality of the system. However, it can lead to confusion and potential errors in job scheduling and management.

The root cause of this issue is likely related to the way the dashboard is handling daylight savings. When daylight savings occurs, the time zone changes, and the dashboard may not be updating the displayed time correctly. This can lead to a discrepancy between the displayed time and the actual time.

To resolve this issue, we recommend the following:

Update the dashboard to handle daylight savings correctly: Modify the dashboard to account for daylight savings and update the displayed time accordingly.
Verify the time zone: Ensure that the time zone is set correctly on the dashboard and the system.
Test the dashboard: Thoroughly test the dashboard to ensure that it is handling daylight savings correctly.

In conclusion, the issue of job start and end time not being updated for daylight savings on the dashboard is a significant problem that can lead to confusion and potential errors in job scheduling and management. By understanding the root cause of the issue and implementing the recommended solutions, we can ensure that the dashboard is handling daylight savings correctly and providing accurate time-sensitive data.
[Dashboard] Job Start and End Time are Not Updated for Daylight Savings: Q&A

In our previous article, we explored the issue of job start and end time not being updated for daylight savings on the dashboard. This problem can lead to confusion and potential errors in job scheduling and management. In this article, we will provide a Q&A section to address some of the most frequently asked questions related to this issue.

Q: What is the root cause of this issue?

A: The root cause of this issue is likely related to the way the dashboard is handling daylight savings. When daylight savings occurs, the time zone changes, and the dashboard may not be updating the displayed time correctly.

Q: Why is this issue not affecting the functionality of the system?

A: This issue is not affecting the functionality of the system because it is not causing any errors or crashes. However, it can lead to confusion and potential errors in job scheduling and management.

Q: How can I reproduce this issue?

A: To reproduce this issue, follow these steps:

Spin up a Ray cluster: Create a Ray cluster using the specified version and dependencies.
Submit a job: Submit a job to the Ray cluster.
Look at the displayed start and end times: Observe the displayed start and end times for the job on the dashboard.

Q: What are the versions and dependencies that are affected by this issue?

A: The issue is being experienced with the following versions and dependencies:

Ray: 2.40.0
Python: 2.12.3

Q: How can I update the dashboard to handle daylight savings correctly?

A: To update the dashboard to handle daylight savings correctly, you can modify the dashboard to account for daylight savings and update the displayed time accordingly. You can also verify the time zone to ensure that it is set correctly on the dashboard and the system.

Q: What are the potential consequences of not resolving this issue?

A: If this issue is not resolved, it can lead to confusion and potential errors in job scheduling and management. It can also cause issues with data accuracy and reliability.

Q: How can I test the dashboard to ensure that it is handling daylight savings correctly?

A: To test the dashboard, you can follow these steps:

Verify the time zone: Ensure that the time zone is set correctly on the dashboard and the system.
Test the dashboard with daylight savings: Test the dashboard with daylight savings to ensure that it is updating the displayed time correctly.
Verify the displayed time: Verify that the displayed time is accurate and consistent with the actual time.

Q: What is the recommended solution for this issue?

A: The recommended solution for this issue is to update the dashboard to handle daylight savings correctly. This can be achieved by modifying the dashboard to account for daylight savings and updating the displayed time accordingly. You can also verify the time zone to ensure that it is set correctly on the dashboard and the system.