处理大型数据集时出现内存不足错误 [英] Outof memory error while working on large dataset

问题描述

我正在LSI上运行代码，这需要首先从数据库中获取大量数据.它适用于小型数据集.随着我增加数据集，它给了我以下错误.

I am running a code on LSI, which requires first fetching a lot of data from database. It is working fine for small data-set. As, i increase the data-set, it gives me the following error.

Exception in thread "main" java.lang.OutOfMemoryError: Java heap space

我当前正在具有2 GB RAM的系统上运行代码.错误是与RAM容量有关还是由于其他原因引起的.

I am currently running the code on system having 2 GB of RAM. Is the error related to RAM capacity or due to something else.

谢谢！

推荐答案

运行Java时，您必须针对特定问题传递VM参数. 您需要增加堆值:

When you run Java you'll have to pass VM parameters for your specific concerns. You need to increase heap values:

-Xms40m - minimum heap size in MB
-Xmx1024m - maximum heap size in MB

java test.java -Xms40m -Xmx1024m

java test.java -Xms40m -Xmx1024m

启动应用程序时.有关更多信息，请参考 Oracle文档.或者，如果您使用Eclipse，请在ecliplse.ini文件中增加此大小.

when launching your app. For more information refer Oracle documentation. Or if you use Eclipse increase this size in ecliplse.ini file.

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