Platform Instance Shared Memory Database Shared Memory Agent Private Memory.
平台实例共享内存数据库共享内存代理私有内存。
This means that the entire database could fit in memory.
这意味着整个数据库都可以进入内存中。
It is important that the database Shared memory and stack do not collide.
使数据库共享内存和堆栈不发生冲突，这一点很重要。
Memory space required for the database manager to run.
运行数据库管理器所需的内存空间。
The application group memory set is allocated from the database Shared memory set.
应用程序组内存集是从数据库共享内存集中分配的。
The limit for database shared memory is around 3.5GB.
数据库共享内存的限制大约是 3.5GB。
The slot manager sets up its database in a region of Shared memory.
槽管理器在共享内存区域设置其数据库。
But since instance memory is generally small compared to database memory, this gain is beneficial.
但是由于实例内存与数据库内存相比通常比较小，因此这样可以获得好处。
Memory required for a database to run.
运行数据库所需的内存。
Use the formula given earlier to calculate the database Shared memory.
可以使用前面给出的公式来计算数据库共享内存。
These resources are found within the database Shared memory (See Figure 1).
这些资源在数据库共享内存中(参见图1)。
Problem: the database Shared memory is 1.66gb; it is less then the 3.35gb database Shared memory limit.
问题：数据库共享内存是1.66GB。这个数小于3.35 GB的数据库共享内存限制。
Once it has cleared the database, the application builds the business model in memory.
当清理完数据库，程序在内存中创建业务模型。
Memory overhead on both the database and the application.
在数据库和应用程序上的内存开销。
Read information from internal memory and the local database.
从内部内存和本地数据库读取数据。
Export information to internal memory, external memory, and the local database.
将信息导出到内部内存、外部内存和本地数据库。
You can do the whole thing in one simple Python script with an in-memory "database."
可以在一个简单的Python脚本中实现整个程序，使用内存中的 “数据库”。
Data set object basically is not the copy of the database in connective, memory.
数据集对象基本上是一个不连接的、内存中的数据库的拷贝。
Data set object basically is not the copy of the database in connective, memory.
数据集对象基本上是一个不连接的、内存中的数据库的拷贝。
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