Between data storage and memory structure, there are number of virtual or background processors that are busy with processing SQL statements.
在数据存储器和内存结构之间，有许多虚拟或后台处理器忙于处理sql语句。
This describes the data structure created in the memory leak example shown in Listing 1.
它描述了清单1所示的内存泄漏示例中创建的数据结构。
Allocates memory to the container structure based on the number of container data.
根据容器数据的多少为容器结构分配内存。
The two mapped binding approaches use the same internal structure for the bound data, so they show identical memory usage.
两种映射绑定方法为绑定数据使用了同一种内部结构，所以它们表现出了相同的内存使用情况。
Some memory leaks occur due to program errors in which infinite loop in the application code allocates new objects and adds them to a data structure accessible from outside the program loop scope.
有些内存泄漏是由于程序错误发生的，在存在此类错误的情况下，应用程序代码中的无限循环会分配新的对象，并将其添加到可从程序循环范围外面访问的数据结构中。
While it might be possible to identify the memory leaking data structure by analyzing the heap dumps, identifying the memory leaking code which is in a infinite loop is not straightforward.
虽然通过分析堆转储能够标识内存泄漏数据结构，但是标识无限循环中的内存泄漏代码并不简单。
MMD4J provides tools to help developers confirm whether a suspect data structure is actually a memory leak or an appropriately growing data structure.
使用 MMD4J提供的工具可以帮助开发人员确认可疑数据结构是真正的内存泄漏还是适当增长的数据结构。
Basic IDS architecture has three major components; data storage, memory structure and background or virtual processors.
IDS的基本体系结构包括三个主要组件：数据存储器、内存结构和后台处理器或虚拟处理器。
The message is read directly into a memory data structure that is divided into the data fields of the message.
消息被直接读入分解成消息数据字段的内存数据结构。
These pattern matching algorithms seek to identify aggregated data structures (grouped together by similarity of ownership structure) that are growing the most in between the memory dumps.
这些模式匹配算法可以寻找并标识在内存转储之间增长最快的聚合数据结构(按照类似的所属权结构组合在一起)。
Bad data structure initializations going out of bounds of the allocated memory.
数据结构不正确的初始化超出了分配内存的边界。
On most systems, malloc and free are not reentrant, because they use a static data structure that records which memory blocks are free.
在大部分系统中，malloc和free都不是可重入的，因为它们使用静态数据结构来记录哪些内存块是空闲的。
Regression testing: The differential analysis and data structure views provided by MDD4J can help you track changes in memory consumption as bugs are fixed and new features are added or removed.
回归测试：MDD4J提供的各种分析和数据结构视图可在修订bug、添加或删除新特性时，帮助您跟踪内存消耗的更改。
You can process large sets of data more efficiently with an XML pull parser rather than load the entire data structure all at once in memory as you need to do with JSON or serialize PHP.
您可以使用一个XMLpullparser更有效地处理大型数据集，而非一次性地将整个数据结构加载到内存中，就像使用JSON或序列化php那样。
Data access (Advanced) : By partitioning the data model structure and converting DAOs to access directly the XAP In-Memory data Grid, read and write performance is improved.
数据存取(高级)：通过划分数据模型结构和把DAO转换成直接访问XAP内存数据网格，改进读写性能。
Lucene stores the input data in a data structure called an inverted index, which is stored on the file system or memory as a set of index files.
Lucene将输入数据存储在名为逆序索引的数据结构中，该数据结构以索引文件集的形式存储在文件系统或内存中。
While many good tools for dealing with persistent data are available, they all involve a lot more work than simply manipulating an in-memory data structure.
虽然有许多处理数据持久性的好工具，但是它们需要的工作都比简单操纵内存中数据结构要多得多。
So, the in-memory data structure, which was great for adding new results, finding a specific result, and all sorts of ad-hoc traversals, had become a liability when it came to reporting.
因此，虽然对于添加新结果、寻找特定的结果和进行特殊传输来说，内存中的数据结构都表现得很不错，但是对于报告来说，这些变成了不利条件。
Building and manipulating an in-memory data structure is just a lot easier than having to go to the database for every operation that adds, fetches, or analyzes data.
构建和操纵内存中的数据结构要比每次添加、提取或者分析数据时都使用数据库容易得多。
To load the data into HSQLDB, it would only be necessary to write a Visitor that traversed the in-memory data structure and generated the appropriate INSERT statements for each entity to be stored.
要将数据装载到HSQLDB，只需编写一个Visitor 即可，该 Visitor 将遍历内存中的数据结构，并为每一个将要存储的实体生成相应的INSERT语句。
Transforming the in-memory data structure
对内存中的数据结构进行转换
Designed and realized the data structure of disk array, how to organize the share memory of disk array.
设计并实现了用于存储磁盘阵列信息的内部数据结构，如何组织应用存储磁盘阵列各项信息的共享内存。
By employing automatic memory management algorithm in object oriented program with large data structure, the developing quality and efficiency of this kind of software are improved.
通过在具有大型数据结构的面向对象程序中引入自动内存管理算法，可以提高这类程序的开发质量与效率。
The memory structure, constitution of data communication channel and system bus are analyzed, and the algorithm allocating, algorithm mapping and scheduling on the multiprocessor are discussed.
对系统的存储器结构、数据通信通道组成和系统总线结构进行了分析； 讨论了算法划分、算法的多处理器映射及调度；
According to the features of main memory data, the data organizing mode and index structure Ttree are introduced.
根据内存数据的特点，介绍了其数据组织方式和索引结构T树。
Applying structure pointer and dynamic data structure, such as the linked list and queue in c, we have made the working software executed with less memory requirement and time overhead.
并根据C语言结构功能强的特点，采用结构指针及链表、队列等动态数据结构，使整个算法具有节省内存、快速省时的特点。
According to the requirement of enterprises, we designed the structure and database of a PDM prototype system, researched the data memory model and built the basic frame of the prototype system.
根据企业调研，本文设计了PD M原型系统的系统结构和数据库，研究了数据的存储模型，建立了PD M原型系统的基本框架。
Computer memory is an important system resources, any procedures data and the control data structure must occupy some storage space.
存储器是计算机系统的重要资源之一，任何程序、数据和各控制数据结构都必须占用一定的存储空间。
Computer memory is an important system resources, any procedures data and the control data structure must occupy some storage space.
存储器是计算机系统的重要资源之一，任何程序、数据和各控制数据结构都必须占用一定的存储空间。
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