Help Center> Data Lake Insight> FAQs> Queue> Usage> How Does DLI Ensure the Reliability of Spark Jobs When a Queue Is Abnormal?

Updated on 2023-03-21 GMT+08:00

View PDF

How Does DLI Ensure the Reliability of Spark Jobs When a Queue Is Abnormal?

You need to develop a mechanism to retry failed jobs. When a faulty queue is recovered, your application tries to submit the failed jobs to the queue again.

Parent topic: Usage

Usage FAQs

Does the Description of a DLI Queue Can Be Modified?
Will Table Data in My Database Be Lost If I Delete a Queue?
How Does DLI Ensure the Reliability of Spark Jobs When a Queue Is Abnormal?
How Do I Monitor Queue Exceptions?

Feedback

Was this page helpful?

Helpful Not helpful

Provide feedback

Thank you very much for your feedback. We will continue working to improve the documentation.

The system is busy. Please try again later.

Which of the following issues have you encountered?

Content is inconsistent with the product UI

Unclear descriptions

Lack of examples or code

Incorrect steps

Can't find what I need

Lack of best practices

Feedback (optional)

0/500

Select at least one type of issue, and enter your comments or suggestions.

Enter a maximum of 500 characters.

Submit Cancel

more