java OpenJDK 客户端 VM - 无法分配内存
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OpenJDK Client VM - Cannot allocate memory
提问by Sushmita Bhattacharya
I am running Hadoop map reduce job on a cluster. I am getting this error.
我在集群上运行 Hadoop map reduce 作业。我收到此错误。
OpenJDK Client VM warning: INFO: os::commit_memory(0x79f20000, 104861696, 0) failed; error='Cannot allocate memory' (errno=12)
There is insufficient memory for the Java Runtime Environment to continue.
Native memory allocation (malloc) failed to allocate 104861696 bytes for committing reserved memory.
OpenJDK 客户端 VM 警告：信息：os::commit_memory(0x79f20000, 104861696, 0) 失败；错误='无法分配内存' (errno=12)
没有足够的内存供 Java 运行时环境继续使用。
本机内存分配 (malloc) 未能为提交保留内存分配 104861696 字节。
what to do ?
该怎么办 ？
回答by Shihao Xu
make sure you have swapspace on your machine
确保您swap的机器上有空间
ubuntu@VM-ubuntu:~$ free -m
total used free shared buffers cached
Mem: 994 928 65 0 1 48
-/+ buffers/cache: 878 115
Swap: 4095 1086 3009
notice the Swapline.
注意这Swap条线。
I just encountered this problem on an Elastic Computing instance. Turned out swap space is not mounted by default.
我刚刚在弹性计算实例上遇到了这个问题。原来默认情况下不安装交换空间。
回答by Frunk
You can try to increase the memory allocation size by passing these Runtime Parameters.
您可以尝试通过传递这些运行时参数来增加内存分配大小。
For example:
例如：
java -Xms1024M -Xmx2048M -jar application.jar
- Xmx is the maximum size
- Xms is the minimum size
- Xmx 是最大尺寸
- Xms 是最小尺寸
回答by Prometheus
There can be a container memory overflow with the parameters that you are using for the JVM
您用于 JVM 的参数可能会导致容器内存溢出
Check if the attributes:
检查属性是否：
yarn.nodemanager.resource.memory-mb
yarn.scheduler.minimum-allocation-mb
yarn.scheduler.maximum-allocation-mb
on yarn.xml matches the desired value.
在yarn.xml 匹配所需的值。
For more memory reference, read the:
有关更多内存参考，请阅读：
Note: This is for Hadoop 2.0, if you are running hadoop 1.0 check the Task attributes.
注意：这是针对 Hadoop 2.0，如果您运行的是 hadoop 1.0，请检查任务属性。
