Help Center/ MapReduce Service/ Component Operation Guide (LTS) (Paris Region)/ Using Spark2x/ Basic Operation/ Scenario-Specific Configuration/ Configuring Executor Off-Heap Memory

Updated on 2022-12-14 GMT+08:00

View PDF

Configuring Executor Off-Heap Memory

Scenario

When the executor off-heap memory is too small, or processes with higher priority preempt resources, the physical memory usage will exceed the maximal value. To prevent the physical memory usage from exceeding, set the following parameter.

Configuration

Navigation path for setting parameters:

When submitting an application, set the following parameter using --conf or adjust the parameter in the spark-defaults.conf configuration file on the client.

**Table 1** Parameter description
Parameter	Description	Default Value
spark.executor.memoryOverhead	Indicates the off-heap memory of each executor, in MB. Increasing the value of this parameter prevents the physical memory usage from exceeding the maximal value. The value is calculated based on max(384, Executor – Memory x 0.1). The minimal value is 384.	1024

Parent topic: Scenario-Specific Configuration

Previous topic: Configuring the Size of the Event Queue

Next topic: Enhancing Stability in a Limited Memory Condition

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.See the reply and handling status in My Cloud VOC.

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

For any further questions, feel free to contact us through the chatbot.