Help Center/ MapReduce Service/ Component Operation Guide (Normal)/ Using Spark2x (for MRS 3.x or Later)/ Spark Core Performance Tuning/ Configuring Heap Memory Parameters for Spark Executor

Updated on 2024-10-08 GMT+08:00

View PDF

Configuring Heap Memory Parameters for Spark Executor

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: Spark Core Performance Tuning

Previous topic: Configuring Spark Core Broadcasting Variables

Next topic: Using the External Shuffle Service to Improve Spark Core Performance

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.