Avoiding and Debugging Java Memory Errors

today • 2 min read

Cloud Server v3.x Server v2.x

How to avoid and debug Java memory errors on CircleCI.

Overview

The Java Virtual Machine (JVM) provides a portable execution environment for Java-based applications. Without any memory limits, the JVM pre-allocates a fraction of the total memory available in the system. CircleCI runs container based builds on large machines with lots of memory. Each container has a smaller memory limit than the total amount available on the machine.

By default, Java’s is configured so that it will use:

• More than 1/64th of your total memory (for Docker Medium with 4GiB of RAM this will be 64 MiB)
• Less than 1/4th of your total memory (for Docker Medium with 4GiB of RAM this will be 1GiB).

As of June 3rd 2020 these limits are visible when using the Docker executor. This means that the recent versions of Java will correctly detect the number of CPUs and amount of RAM available to the job.

For older versions of Java, This can lead to the JVM seeing a large amount of memory and CPUs being available to it, and trying to use more than is allocated to the container. This pre-allocation can produce Out of Memory (OOM) errors, which are difficult to debug because the error messages lack detail. Usually you will see a 137 exit code, which means the process has been SIGKILLed by the OOM killer (137 = 128 + "kill -9").

You can see how much memory your container is allocated, and how much it has used, by looking at the following files:

/sys/fs/cgroup/memory/memory.limit_in_bytes
/sys/fs/cgroup/memory/memory.max_usage_in_bytes

UseContainerSupport

Recent versions of Java (JDK 8u191, and JDK 10 and up) include a flag UseContainerSupport which defaults on. This flag enables the JVM to use the CGroup memory constraints available to the container, rather than the much larger amount of memory on the machine. Under Docker and other container runtimes, this will let the JVM more accurately detect memory constraints, and set a default memory usage within those constraints. You can use the MaxRAMPercentage flag to customise the fraction of available RAM that is used, e.g. -XX:MaxRAMPercentage=90.0.

Manual memory limits

Even with cgroup support, the JVM can still use too much memory, e.g. if it executes a worker process pool. To prevent the JVM from pre-allocating too much memory, declare memory limits using Java environment variables. To debug OOM errors, look for the appropriate exit code.

Using Java environment variables to set memory limits

You can set several Java environment variables to manage JVM memory usage. These variables have similar names and interact with each other in complicated ways.

The table below shows these environment variables, along with the precedence levels they take when using different build tools. The lower the number, the higher the precedence level, with 0 being the highest.

The above environment variables are listed below, along with details on why to choose one over another.

_JAVA_OPTIONS

This environment variable takes precedence over all others. It is read directly by the JVM and overwrites all other Java environment variables, including command-line arguments. Because of this power, consider using a more specific Java environment variable.

Note: _JAVA_OPTIONS is exclusive to Oracle. If you are using a different runtime, ensure that you check the name of this variable. For example, if you are using the IBM Java runtime, then you would use IBM_JAVA_OPTIONS.

JAVA_TOOL_OPTIONS

This environment variable is a safe choice for setting Java memory limits. JAVA_TOOL_OPTIONS can be read by all Java virtual machines, and you can easily override it with command-line arguments or more specific environment variables.

JAVA_OPTS

This environment variable is not read by the JVM. Instead, several Java-based tools and languages use it to pass memory limits to the JVM.

JVM_OPTS

This environment variable is exclusive to Clojure. lein uses JVM_OPTS to pass memory limits to the JVM.

Note: JVM_OPTS does not affect the memory of lein itself, nor can it directly pass memory limits to Java. To affect lein’s available memory, use LEIN_JVM_OPTS. To directly pass memory limits to Java, use _JAVA_OPTIONS or JAVA_TOOL_OPTIONS.

LEIN_JVM_OPTS

This environment variable is exclusive to lein.

GRADLE_OPTS

See the Gradle documentation for memory settings.

This environment variable is exclusive to Gradle projects. Use it to overwrite memory limits set in JAVA_TOOL_OPTIONS.

MAVEN_OPTS

See the Maven documentation for memory settings.

This environment variable is exclusive to Apache Maven projects. Use it to overwrite memory limits set in JAVA_TOOL_OPTIONS.

Debugging Java OOM errors

Unfortunately, debugging Java OOM errors often comes down to finding an exit code 137 in your error output.

Ensure that your -XX:MaxRAMPercentage=NN or -Xmx=NN size is large enough for your applications to completely build, while small enough that other processes can share the remaining memory of your CircleCI build container.

Even if the JVM’s maximum heap size is larger than the job’s limit, the garbage collector may be able to keep up with the allocation rate and avoid your process using too much memory and being killed. The default number of threads allocated to the garbage collector is based on the number of CPUs available, so the cgroup visibility change made on June 3rd 2020 may cause your application to consume more memory than before and be OOM killed. The best fix for this is to configure the maximum heap size within the job’s available RAM, which will cause a full GC to be triggered soon enough to avoid breaching any limits.

If you are still consistently hitting memory limits, consider increasing your jobs’s RAM allocation.

See also

Java Language Guide Android Tutorial

---

Help make this document better

This guide, as well as the rest of our docs, are open source and available on GitHub. We welcome your contributions.

• Suggest an edit to this page (please read the contributing guide first).
• To report a problem in the documentation, or to submit feedback and comments, please open an issue on GitHub.
• CircleCI is always seeking ways to improve your experience with our platform. If you would like to share feedback, please join our research community.

Need support?

Our support engineers are available to help with service issues, billing, or account related questions, and can help troubleshoot build configurations. Contact our support engineers by opening a ticket.

You can also visit our support site to find support articles, community forums, and training resources.

---

CircleCI Documentation by CircleCI is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.