可移植堆转储(PHD)。
When you analyze one heap dump, then only the Big TAB will be populated.
分析一个堆转储时,仅会填充big选项卡。
MDD4J uses different terms for heap dump files based on when they were taken
MDD4J为堆转储文件使用不同的术语,以其获得的时间为依据
Manually: You can send a signal to the JVM asking it to generate a heap dump.
手动:可以向JVM发送一个信号,要求JV m生成堆转储。
This heap dump can be generated automatically when the JVM runs out of memory or crashes.
此堆转储可在JVM用尽内存或崩溃时自动生成。
The MDD4J documentation has information on how to generate a heap dump on various platforms.
(MDD4J文档具有关于如何在各种平台上生成堆转储的信息)。
Because a heap dump is such a large file, it is not practical to attempt to examine it by hand.
由于堆存储是一个很大的文件,手动检查是不切实际的。
Performance Inspector consists of Tprof, AI, PTT, JLM, post, jprof, a2n, swtrace, and heap dump.
PerformanceInspector由Tprof、AI、PTT、JLM、post、jprof、a2n、swtrace和heap dump 组成。
As the name implies, a single heap dump analysis is performed on one heap dump, the primary heap dump.
如其名称所示,单一堆转储分析是对一个堆转储执行的,也就是主堆转储。
Through the rtdriver interface, a request can be made to generate a heap dump report at any time.
通过rtdriver接口,在任何时刻都可以请求生成heap dump报告。
Once you've dumped the heap into a binary file, you can use jhat to analyze the binary heap dump file.
将堆转储至一个二进制文件后,您就可以使用jhat分析二进制堆转储文件。
The heap dump tool will work with other non-IBM JVMs because it just uses the standard JVMPI events.
heap dump工具可以工作于其他非 IBMJVM,因为它使用的只是标准的JVMPI事件。
I expect there to be 10 mail messages (MessageControllers) in the first heap dump and none in the second.
我期望在第一个转储中有10条邮件消息(MessageControllers),在第二个中没有任何邮件消息。
You need a heap dump before you can perform a heap analysis. There are three ways to generate a heap dump
在执行堆分析之前,需要一个堆转储。
To gather more data, you can produce a system dump instead of a heap dump on an OutOfMemoryError exception.
为了收集更多的数据,您可以在OutOf MemoryError异常上生成一个系统转储文件,而非堆转储文件。
A comparative heap dump analysis takes two heap dumps, baseline and primary, and compares their differences.
比较性堆转储分析使用两个堆转储,也就是基准和主堆转储,并比较其差异。
A heap dump is typically a very large file that contains a list of all the objects currently on the JVM heap.
通常,堆转储通常是一个很大的文件,它包含当前jvm堆中所有对象的一个列表。
In addition, the IBM JDK is configured to generate a heap dump automatically if an OutOfMemoryError is detected.
此外,如果检测到了Out Of MemoryError,则将IBMJDK配置为自动产生堆转储。
MDD4J lets you perform two different types of heap dump analysis, depending on the number of heap dumps available.
MDD4J允许执行两种不同类型的堆转储分析,具体取决于可用的堆转储数量。
To do this, you need to know the implementation or structure of the application for which the heap dump was generated.
为此,您需要了解为其生成堆转储的应用程序的结构或实现。
A single heap dump (often the heap dump generated automatically with the OutOfMemory error) can be also analyzed with MDD4J.
也可以使用MDD4J分析单个堆转储(通常是通过Out Of Memory错误自动生成的堆转储)。
Automated heap dump generation can be enabled by default or can be initiated at the appropriate time using an MBean operation.
自动堆转储生成可以缺省启用,也可以在适当时间通过MBean操作启动。
Automated heap dump generation can be enabled by default, or can be initiated at the appropriate time using an MBean operation.
在缺省的情况下,启用自动化的堆转储生成,或在适当时间使用MBean操作启动堆转储。
A heap dump, also known as heap snapshot, is a dump of references between objects in memory and information about these objects.
堆转储也称为堆快照,就是内存中对象之间的参照转储,以及关于这些对象的信息。
(Figure 4) shows two charts displaying components and types in the heap dump that contribute the most to the size of the heap.
(如图4所示)显示了两个图表,显示在堆大小中占比例最大的堆转储中的组件和类型。
Figure 3 shows the results of the Suspects TAB when the primary heap dump from the example in Listing 1 is analyzed just by itself.
图3显示了仅自动分析清单1中示例的主要堆转储时Suspects选项卡的结果。
The information shown in this view can help you understand the shape and interconnection of the data structures within the heap dump.
此视图中显示的信息可帮助您打造和连接堆转储中的数据结构。
The baseline dump refers to the heap dump taken early on, when the heap has not yet been consumed significantly due to the memory leak.
基线转储是指当堆尚未因内存泄漏而被大量耗用时早期取得的堆转储。
Growth - lists the growth observed in the size of this data structure/region in the heap in between the primary and baseline heap dump.
Growth-列出了此数据结构/区域在堆中的主要堆转储和基准堆转储之间的增长大小。
Analysis of a heap dump taken during the time when the free heap was dropping was critical to understanding the root cause of the problem.
分析在可用堆下降期间获取的堆转储对了解问题的根源至关重要。
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