包缓存器设置数据库全局内存的总量以用于缓存程序包的静态和动态sql语句。
The package cache sets the amount of database global memory to be used for caching a package's static and dynamic SQL statements.
WebSphereeXtremeScale使用了加载器读取内存中缓存的数据，以及将数据写入到数据库中。
WebSphere eXtreme Scale uses loaders to read data from and write data to the database from the in-memory cache.
内存影响客户端连接的数量、缓冲池的大小，以及服务器分配的数据库缓存的大小。
Memory impacts the number of client connections and the size of the buffer pool and database cache allocated by the server.
将工作分区与它们的数据分区进行匹配，这将增加服务器缓存的命中概率，并减少对数据库的远程访问，后者会引起较大的延迟。
Matching work partitions to their data partitions will increase the probability of a cache hit within the server and decrease remote accesses to the database, which introduces quite a bit of latency.
当缓存完全失效时，所有用户请求被发送到数据库服务器进行处理。
As the cache is completely invalidated, all customer requests are sent to the database server for processing.
为了提高应用程序的性能，数据库中的数据被缓存在应用服务器中。
To improve application performance, the data in the database is cached in the application server.
与优化数据库服务器有所不同，对于NFS来说，您希望允许VMM使用尽可能多的RAM来进行NFS数据缓存。
Unlike when you tune database servers, with NFS you want to allow the VMM to use as much RAM as possible for NFS data caching.
在客户机第一次连接到数据库服务器并从服务器端参数中提取信息之后，备用服务器信息被缓存在客户机上。
The alternate server information is cached at the client after first connecting to the database server and pulling the information from the server side parameter.
要计算数据访问时间，您需要了解数据存在于近缓存中、服务器缓存中、以及数据库中的概率。
To compute the data access time, you need to know the probabilities for the data existing in the near-cache, in the server cache, and in the database.
因为db2缓冲池是系统主内存的一部分，DB 2数据库管理器在它读取或写入磁盘介质时将它分配给缓存表和索引数据。
Since a DB2 buffer pool is a part of the main memory of the system, the DB2 database manager allocates it for caching tables and index data when it reads or writes to and from media disks.
设计器还会创建SQL精简版数据库文件作为本地数据缓存，并生成与同步服务进行交互的代码。
Designer also creates SQL ce.sdf database file to be used as local cache store as well as synchronization code necessary to interact with the sync Service.
在这个示例中，30%的数据位于近缓存中，70%的数据位于对象服务器缓存中，而剩余的数据将从数据库中进行检索。
In this example, 30% of the data is located in the near-cache, 70% of the data resides in the object server cache, and the rest of the data would be retrieved from the database.
您可能会想，如果在客户机a将更改与数据库服务器进行同步之前，客户机a上缓存的数据被另一个客户机(客户机b)操纵，那将会发生什么事情。
You may be wondering what happens if data that is cached on a client (let's say client a) is manipulated by another client (client b) before client a syncs up changes with the database server.
数据服务器层是数据网格的组成部分，通过在内存中缓存对象来缓冲数据库访问，以实现更高的性能。
Data Server tier, part of data Grid, buffers database access by caching objects in-memory for higher performance.
作为对此消息的响应，Appl2通过数据库服务写入缓存的更新并将这一阶段0的成功报告给协调器。
In response to this message, Appl2 writes its cached updates using the database service and reports the success of phase zero to the coordinator.
查询优化集中于cpu密集型(CPUbound)执行路径，而全缓存数据库将仍然集中于优化取页到大容量存储器的操作，而这已不再是问题。
Query optimization focuses on CPUbound execution paths, while a fully cached database will still be preoccupied with optimizing page fetches to mass storage that are no longer an issue.
NSF_Dbcache_Maxentries指定服务器每次能够在其数据库缓存中保存的数据库数量。
NSF_Dbcache_Maxentries Specifies the number of databases that a server can hold in its database cache at one time.
NSF_Dbcache_Maxentries指定服务器数据库缓存一次性所能储存的数据库数量。
NSF_Dbcache_Maxentries Specifies the number of databases that a server can hold in its database cache at one time.
如果某个特定的缓存太小，则WebSpherePortal服务器会太频繁地访问数据库，从而导致性能下降。
If a particular cache is too small, then the WebSphere Portal server can go to the database too often, which can result in performance degradation.
RouterDbCacheSize指定用于在路由器进程中缓存邮件数据库的路由器数据库缓存的大小。
RouterDbCacheSize Specifies the size of the router database cache used to cache mail databases in the router process.
诸如ibmsoliddb之类的内存中缓存解决方案将数据库从相对较慢的硬盘驱动器转移到相对较快的RAM，大大提升响应速度。
In-memory caching solutions such as IBM solidDB move the database off of relatively slow hard drives into relatively fast ram, dramatically improving response time.
RouterDbCacheSize指定路由器数据库缓存的大小，用于在路由器进程中缓存邮件数据库。
RouterDbCacheSize Specifies the size of router database cache used to cache mail databases in the router process.
该名称服务器检查其数据库和缓存，没有找到任何结果，于是向 .com顶级域的根服务器发送一个迭代请求。
The name server checks its database and cache, doesn't find anything, and sends an iterative request to a root server for the .com top-level domain.
该变量与NSF_DBcache_MaxEntries变量结合使用，以支持LotusDomino服务器缓存指定的数据库数量。
This variable is used in conjunction with the NSF_DBcache_MaxEntries variable to allow the Lotus Domino server to cache the specified number of databases.
因此，我们使用JDBC连接池，创建一个用来缓存来自于浏览数据库的名称，并运行于单独的WebSphereApplicationServer 服务器上的Web服务。
Therefore, we created a Web service that caches names from Browse and runs on a separate WebSphere Application Server server, using JDBC connection pooling.
服务器将缓存来自内部及外部数据源的所有Feed数据，同时提供一个内嵌的Derby数据库作为缺省选项来创建Mashup目录的缺省仓库。
All feed data from internal as well as external data sources is cached. An embedded Derby database is provided as a default option to create the default repository for the mashup catalog.
routerdbcachesize路由器进程缓冲邮件数据库使用的RouterDatabase缓存大小。
RouterDbCacheSize Specifies the size of the router database cache used to cache mail databases in the router process.
它是一个分布式的内存缓存系统，Facebook(包含其他很多网站)用它作为Web服务器和MySQL服务器之间的缓存层(因为数据库访问相对比较慢)。
It's a distributed memory caching system which Facebook (and a ton of other sites) use as a caching layer between the web servers and MySQL servers (since database access is relatively slow).
数据库服务器可用的高速缓存内存数量可能是影响性能的关键因素。
The amount of cache memory available to the database server can be a key factor in affecting performance.
缓存服务器通过在数据库中存储处理过的资源解决了这个问题。
Cache Server solves that issue by storing processed assets in the persistent database for later use.
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