另一个可选的方式是为测试使用内存数据库。
One alternative is to use an in-memory database for your tests.
它是一个内存数据库。
为什么不在内存数据库常用的？
在内存数据库压缩因子：如何计算？
以内存数据库作为其底层支持。
首先，深入讨论了实时内存数据库的概念和相关技术。
Firstly, the concept and related technologies of Real-Time Database Memory is discussed.
变电站自动化系统需要使用内存数据库对实时数据进行存取。
Substation automation system USES memory database for real-time data access.
虽然连接到内存数据库会多花点时间，但代码相对要少很多，开发代价也小。
The trade-off is that connecting to an in-memory database will take little more unit test time, but there will be less code and development effort.
内存数据库分区方法是将数据库逻辑对象存储在内存中的组织管理方法。
The partitioning technology of MMDB is to organize and manage logical database objects.
代码是使用称为HSQLDB的内存数据库测试的，这种产品包含一个简单的GUI工具。
The code was tested using an in-memory database called HSQLDB, and this product includes a simple GUI tool.
短消息中心主要包括：短消息协议处理模块、七号信令模块和内存数据库模块。
The Short Message Center mainly includes: SM protocol module, Forward signal module, main memory database module, SMPP module and so on.
第三，着重研究了基于红黑树的实时内存数据库数据组织结构及其查询优化方案。
The third, the Real-Time Memory Database based on the red-black tree and the querying optimization program are mainly researched.
对分布式内存数据库的恢复进行了讨论，内容包括：转储、分布式事务提交及日志。
The recovery of the distributed main memory database is discussed in the thesis, including:dump?distributed transaction commitment and log.
传统的内存数据库要求内存数据库能容纳全部外存数据库，因此没有数据装入的问题。
The traditional MMDB assumes that the entire database is stored in volatile main memory, so there is no trouble of data loading.
本文介绍了消防监控系统中内存数据库索引的设计方法，并对比了两种方法下的系统运行效率。
This paper has introduced the design methodology of main memory, database index in fire monitoring system, and compared the system running efficiency in these two situations.
同时，对系统中大量实时数据则采用内存数据库管理方式，并利用线程安全类来保证读取数据的完整性。
At the same time, the software deals with the real-time data by the means of memory database and USES the thread security class to maintain the data's integrity.
关于JPA的最佳实践，他希望开发者能考虑使用内存数据库(如hsqlDB)而不要再用mockDAO实现。
Regarding the JPA best practices, he asked the developers to consider the techniques like using an in-memory database (like HSQL DB) to eliminate mock DAO implementations.
提出一种适合内存数据库的“影子内存”组织方法，并给出具体的内存空间的组织管理、存储结构和存取策略。
This thesis provides a method of organizing the shadow memory of main memory database. Detailed storage structure and access strategy are also included.
本文以内存数据库和磁盘数据库技术为基础，对关键业务的应用服务器中业务对象的并发控制技术进行了研究。
Based on the known technologies of MMDB and DRDB, this thesis studies the concurrency control mechanism for business objects in application servers of critical business.
在分析了用于查找内存数据的非主键索引的特性之后，设计并实现了一个适合于内存数据库的非主键索引机制。
After analyzing the characteristics of the non-primary index used to search the data in the main memory, a new non-primary index system is designed and implemented which fits to MMDB.
研讨了内存数据库结构的定义以及实现，并对静态和动态存储结构的机制作了详尽的分析，突出地反映了动态特性。
The definition and implementation about the structure of MMDB are discussed, and the mechanism of static and dynamic storage structure are analyzed in detail, its dynamic characteristic is shown.
例如，在分布式平台中，使用映射-规约模式加上内存数据库；在System Z中，进行联合部署以实现对企业数据的访问。
For example, on distributed platforms, map-reduce coupled with in-memory databases; on System Z, co-deploy for access to enterprise data.
SQlite是试验sQLAlchemy的理想选择，并且您还可以选择使用内存数据库，在这种情况下，您的代码行应如下所示。
SQlite is an ideal choice for experimentation with SQLAlchemy, and you can choose to either use an in-memory database, in which your line would look like this instead.
实际应用验证了实时内存数据库能够在基于VMIC反射内存网和RTX实时环境下，快速正确地提供虚拟试验过程中的实时数据服务。
The real applying have validated that Real-time Memory Database can correctly provide data service in VT based on VMIC reflect shared memory network and RTX technology.
应用程序状态可以存储在内存、文件或者数据库中。
Application state may be stored in memory, in files, or in a database.
这种内存用于数据库级的任务，例如备份/恢复、锁定和SQL的执行。
This memory is used by database level tasks such as backup/restore, locking, and SQL executions.
因此，我们只能分配最多1gb(可用的物理ram)的共享内存给数据库使用。
Therefore, we can only allocate up to 1gb (physical RAM available) of Shared memory for database use.
最重要的更改是处理分页问题，即使系统拥有足够的空闲内存，数据库服务器频繁地交换出计算性页面也可能导致这个问题。
The most important changes were made to address paging issues, where database servers frequently page out computational pages, even though the system has enough free memory.
DB 2Express - C最多可以利用两个CPU和4gb内存，数据库的规模也不受限制。
DB2 Express-C can fully utilize up to two CPUs and 4gb of memory, and the size of the database is not restricted.
DB 2Express在整个数据库服务器中最多支持4GB内存(数据库引擎将限制内存消耗，使其不超过4 GB)。
DB2 Express is limited to 4 GB of memory for the entire database server (the database engine will throttle the amount of memory consumption such that it does not exceed the 4 GB limit).
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