Resolving 'java.lang.OutOfMemoryError: Java heap space' Error in Azure Data Factory with Self-hosted Integration Runtime

How to Resolve 'java.lang.OutOfMemoryError: Java heap space' Error in Azure Data Factory

Question

You are copying data from Parquet format in Azure Data Factory using Self-hosted Integration Runtime and you get the following error:

An error occurred when invoking java, message: java.lang.OutOfMemoryError:Java heap space
How will you resolve this error?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

Correct Answer: B

While copying the data from or to Parquet format using Self-hosted Integration Runtime(IR), you might get the error stating "An error occurred when invoking java, message: java.lang.OutOfMemoryError:Java heap space"

This error can be resolved by adding an environment variable _JAVA_OPTIONS in the machine hosting the Self-hosted Integrated Runtime to adjust the max/min heap size for JVM to allow such copy and rerun the pipeline.

Edit System Variable

Variable name: _JAVA_OPTIONS

Variable value: -Xms256m -Xmx16g

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Option A is incorrect.

You need to add the environment variable _JAVA_OPTIONS and rerun the pipeline to resolve the issue.

Option B is correct.

You need to add the environment variable _JAVA_OPTIONS and rerun the pipeline to resolve the issue.

Option C is incorrect.

Only restarting the machine won't solve the issue.

Option D is incorrect.

Azure Data Factory allows copying data from/to Parquet format.

To know more about Parquet format in Azure Data Factory, please visit the below-given link:

The error message "java.lang.OutOfMemoryError: Java heap space" indicates that the Java Virtual Machine (JVM) is running out of memory when attempting to execute a task. This error commonly occurs when trying to load or process large datasets that require more memory than the default heap size allocated by the JVM.

To resolve this error when copying data from Parquet format in Azure Data Factory using Self-hosted Integration Runtime, you need to increase the heap size of the JVM running the integration runtime. This can be done by adding an environment variable _JAVA_OPTIONS with a higher memory limit value than the default.

Therefore, option B, "Add an environment variable _JAVA_OPTIONS and rerun the pipeline," is the correct answer.

To add the environment variable, follow these steps:

  1. Open the command prompt on the machine where the Self-hosted Integration Runtime is installed.

  2. Set the value of the _JAVA_OPTIONS environment variable by running the following command:

    setx _JAVA_OPTIONS "-Xmx<heap_size>m"

    Replace <heap_size> with the desired memory limit value in megabytes. For example, to set the heap size to 2 GB, use -Xmx2048m.

  3. Restart the Self-hosted Integration Runtime service.

  4. Rerun the pipeline to copy the data from Parquet format.

Option A, "Remove the environment variable _JAVA_OPTIONS and rerun the pipeline," is not a correct solution because it would remove the existing heap size limit, which could cause the JVM to run out of memory again.

Option C, "Restart the machine," may not be necessary as restarting the Self-hosted Integration Runtime service should be sufficient to apply the new environment variable value.

Option D, "You can't copy the data from Parquet format in Azure Data Factory," is not a correct answer. Azure Data Factory supports copying data from and to Parquet format using various data connectors, including Self-hosted Integration Runtime.