• The log ends when the JVM runs out of memory.

    JVM内存不足时,日志结束

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  • As you can imagine, running out of memory is a bad thing.

    正如可以想象内存耗尽一件很糟糕的事情

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  • For this reason, pages can be moved out of memory and onto the disk.

    由于这个原因页面可以内存放入磁盘中

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  • For example, your program runs out of memory or encounters divide-by-zero.

    例如程序运行耗尽内存或者遇到除。

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  • All programs inevitably generate errorsfiles not found, running out of memory, etc.

    所有程序都不可避免地会生成错误——不到文件内存不足等等

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  • Hope fades into the world of night through shadows falling out of memory and time.

    希望已隐没夜晚,将摆脱黑暗穿越记忆时间

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  • Figure 13: EurekaJ Heap chart showing one possible scenario for Out Of Memory error.

    13eurekaj显示内存溢出错误一种可能情形

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  • This heap dump can be generated automatically when the JVM runs out of memory or crashes.

    转储JVM用尽内存崩溃时自动生成

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  • For a more indepth discussion on why you get Out of Memory exceptions see my earlier post.

    关于为什么发生内存溢出异常更多深入讨论,可以参看先前帖子

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  • These memory Settings have a direct impact on what the JVM does when it runs out of memory.

    这些内存设置JVM用尽内存执行操作直接影响

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  • If you do not set this, Memcache will keep everything in cache until it runs out of memory.

    如果进行设置Memcache所有内容都保存缓存中直至用光内存

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  • If the user typed in a really long word, we're out of memory, something else went wrong, could be.

    可能是,如果用户输入一个长的单词内存不足了,程序出错了,有可能。

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  • One of the perhaps easiest ones to put your finger on is what if the computer is out of memory?

    一个可能情况计算机内存不足

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  • It's also pretty simple to see the effect running out of memory has on your system: everything stops.

    了解内存耗尽系统产生影响,也是非常简单的:所有的工作都将停止

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  • Monitoring memory allocations to uncover leaks and other potential paths leading to running out of memory.

    监测内存分配从而找出漏洞以及导致耗尽内存的其它潜在路径

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  • Even before truly running out of memory, you can cause the computer to get so busy that it becomes useless.

    甚至内存真正之前可能导致计算机变得不可用。

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  • Split up batch update calls to keep the generated XML small enough to not run into out of memory exceptions.

    分割批量更新调用保持生成XML足够不会出现内存溢出异常

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  • Even when it didn't actually run out of memory, the GC overhead was just too high when memory consumption was high.

    就算没有内存溢出,内存消耗很高时GC的开销也会很大

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  • Each extra session requires extra memory for its backups on every node in the cluster, so you quickly run out of memory.

    每个额外节点需要额外的内存保存集群每个节点的备份,所以很快会用光内存。

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  • This type of memory leak will cause your programs to be bloated, get slower over time, and eventually run out of memory.

    这种类型内存泄漏将会导致程序越来越大,运行越来越慢,最终耗尽内存。

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  • The operating system handles important details like paging different parts of the file into and out of memory as needed.

    操作系统会处理一些重要细节问题文件不同部分分页内存上,需要的时候内存里提取出来。

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  • If a row is larger than a page (that is larger than 2 KB), then the page containing that row might be kicked out of memory.

    如果某个行的大小大于大小(大于2KB),那么包含该行页面可能置换内存。

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  • In this example the applications memory usage increased rapidly, to a point where the application simply ran out of memory.

    这个例子程序内存占用快速上升直到产生程序内存溢出。

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  • Running out of memory can be a problem when using very large documents (generally in the 5 + MB range) with document models.

    利用文档模型使用非常文档(通常5 +MB大小)时,运行内存不足成为一个问题

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  • If there are many idle agents and all of them retain their private memory, it is possible that the system runs out of memory.

    如果很多闲置代理并且所有这些闲置代理都保留它们私有内存那么可能导致系统耗尽内存。

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  • You've also seen how you can permanently add swap to your configuration and how to add swap in an emergency when you run out of memory.

    看到了如何配置永久地添加交换空间,以及如何内存不足紧急添加交换空间。

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  • Batch processing usually doesn't need data caching, otherwise you may run out of memory and dramatically increase your GC overhead.

    处理通常需要数据缓存否则内存耗尽大量增加GC开销

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  • Assume you have an application that, over time, runs out of memory for no apparent reason (you can probably think of at least one).

    假设应用随着时间的推移,没有明显原因(您可能想到至少一个原因)就逐渐耗尽内存

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  • With these tools, you'll be able to analyse problems such as out of memory errors, or simply browse through the available artifacts.

    借助这些工具能够分析各种问题比如内存不足错误或者只是浏览可用的工件。

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  • If your JVM is swapped out of memory, GAE must spend additional time to start your entire application the next time a request comes in.

    如果JVM内存,那么在下一次请求到来时GAE必须花费更多的时间启动整个应用程序

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