Bug: There is insufficient memory for the Java Runtime Environment to continue.

[fx10007]

What happened?

description：kafka failed to start when deploying with docker compose

kafka | # There is insufficient memory for the Java Runtime Environment to continue.
kafka | # Native memory allocation (mmap) failed to map 1073741824 bytes for committing reserved memory.
kafka | # An error report file with more information is saved as:
kafka | # //hs_err_pid31767.log
kafka | OpenJDK 64-Bit Server VM warning: INFO: os::commit_memory(0x00000000c0000000, 1073741824, 0) failed; error='Not enough space' (errno=12)
kafka | Waiting for Kafka to be ready...
kafka | OpenJDK 64-Bit Server VM warning: INFO: os::commit_memory(0x00000000c0000000, 1073741824, 0) failed; error='Not enough space' (errno=12)
kafka | #
kafka | # There is insufficient memory for the Java Runtime Environment to continue.

What did you expect to happen?

error='Not enough space'

How can we reproduce it (as minimally and precisely as possible)?

system：Ubuntu 18.04.6 LTS
cpu：2vCPU x86_64
internal storage：2 GiB
disk：40G

Anything else we need to know?

No response

version

```console $ {openim-docker} version # 3 ```

Cloud provider

aliyun

OS version

```system：Ubuntu 18.04.6 LTS cpu：2vCPU x86_64 internal storage：2 GiB disk：40G ```

Install tools

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[fx10007]

root@iZuf66n8glfluybzq5n6r3Z:~/openim/openim-docker# df -h
Filesystem Size Used Avail Use% Mounted on
udev 915M 0 915M 0% /dev
tmpfs 190M 8.2M 182M 5% /run
/dev/vda3 40G 13G 26G 33% /
tmpfs 948M 0 948M 0% /dev/shm
tmpfs 5.0M 0 5.0M 0% /run/lock
tmpfs 948M 0 948M 0% /sys/fs/cgroup
/dev/vda2 189M 4.4M 184M 3% /boot/efi
tmpfs 190M 0 190M 0% /run/user/0
overlay 40G 13G 26G 33% /var/lib/docker/overlay2/28ea4ddf7a47a5d1c5b6563059dcf69df07ef5c42e8413602265f1e0d88fd37d/merged
overlay 40G 13G 26G 33% /var/lib/docker/overlay2/9cfb387bdcef08fcb1c6198729ad624390b0c32992fe1b67317b06f7c973a7bf/merged
overlay 40G 13G 26G 33% /var/lib/docker/overlay2/53870e12bc23ab1ab7a24795afb8f1b93a09fd52dc59dcdcc1462a6238484d83/merged
overlay 40G 13G 26G 33% /var/lib/docker/overlay2/e7bbede314bb4c36de338acf41a9afaf79cffae5aceb246724eb790d72bd065e/merged
overlay 40G 13G 26G 33% /var/lib/docker/overlay2/0ff0aabdf34511883de03ac7742fdaef222a642d2873a7671333f54fa7ee6785/merged
overlay 40G 13G 26G 33% /var/lib/docker/overlay2/26cbda52683843676add8137763f7b97a160fe7678ec2d1b4e06b59d8429da1f/merged
overlay 40G 13G 26G 33% /var/lib/docker/overlay2/093379f62087c591b6ac598d98c827fc66071a0e514d220cff6736c9b4a23850/merged
overlay 40G 13G 26G 33% /var/lib/docker/overlay2/606de16cae472ed0c9bbd6e445b91a61ac1614e53ea6befb0f7bf4383e9c90b4/merged
overlay 40G 13G 26G 33% /var/lib/docker/overlay2/5c6c6e287a375d850558825ff2a353f4a907a579e6eb3258d63080e8162b77cd/merged
overlay 40G 13G 26G 33% /var/lib/docker/overlay2/c858ccdae71d9df421255352201b0fc58be105349f09e78d39e41d297ea6418d/merged
overlay 40G 13G 26G 33% /var/lib/docker/overlay2/6d9085eef0bbbb316cd79d313fc5d90d1cb4a8f49fbf6ed9b9d4546290f92a69/merged

[cubxxw]

Issue Analysis

Your Kafka service, when deployed with Docker Compose, fails to start due to memory constraints. Here are the key points from the error:

• There is insufficient memory for the Java Runtime Environment to continue.: This indicates that the Java runtime environment lacks adequate memory to proceed.
• Native memory allocation (mmap) failed to map 1073741824 bytes for committing reserved memory.: Native memory allocation is trying to map 1GB of memory but is unsuccessful.
• Your system has 2GB RAM, and Kafka is attempting to use 1GB, which might be straining the available memory, especially considering the OS and other processes also require memory.

---

Solutions

1. Increase RAM: If you're operating in a cloud environment, consider resizing your instance to have more RAM. More RAM will alleviate the memory constraints faced by Kafka.

2. Optimize Java Heap Size: Adjust Kafka's Java heap size settings. You can set the maximum heap size for JVM (using the -Xmx option). Ensure that the memory allocated to Kafka is less than the total memory, leaving some breathing space for the system and other processes.

   KAFKA_HEAP_OPTS="-Xmx768m -Xms256m"
   

3. Monitor Other Processes: Use tools like top or htop to see which processes consume significant memory. Consider if some of them can be stopped to free up memory.

4. Startup Order: If you have multiple services in your docker-compose file, ensure Kafka isn't starting first. Let other lower-memory consuming services start before Kafka.