请注意这只会影响数据缓存(元组存储)且没有元数据缓存。
Please note this only affects data cache (tuple storage) and not metadata cache.
最后,安装更多内存让文件系统可以把文件和元数据缓存在内存中。
Finally, having extra memory on hand allows the file systems to cache files and metadata in memory.
元数据缓存使用改进的广播一致性协议和 LRU替换算法 。
The metadata caching uses a modified broadcasting caching coherence protocol and LRU caching block replacing algorithm.
由于查询与元数据缓存的存在,使得第二次运行的执行速度总是比第一次运行快。
The query and metadata caching results in the second run always executes faster than the first run. For example, looking at this Entity SQL query.
不管是创建一个目录或文件,删除一个文件,或者是写入一个文件,元数据缓存器都要更新。
Whenever a new directory or file is created, a file is deleted, or whenever a file is written to, the metadata cache is updated.
例如,当写入一个文件的时候,这个文件的长度和最后修改时间都要在元数据缓存器里面更新。
For example, when we write to a file, the new length and the last modification timestamp are updated in the metadata cache.
它允许使用64位数据源驱动程序,且可以利用64位满足查询处理、元数据缓存和数据缓存的空间。
It permits the use of 64 bit data source drivers and can leverage the 64 bit address space for query processing, metadata caching and data caching.
HPVFS的缓存系统包括元数据缓存、计算节点数据缓存和存储节点缓存三种,旨在实现元数据和数据的高速访问。
Cache system is one of these strategies, which realize rapid access of metadata and data. The cache system of HPVFS consists of metadata cache, compute nodes cache and storage nodes cache.
元数据缓存器将目录和文件的路径名称保存为键,将元数据保存为值(如文件长度、最后修改时间、标记该条目是文件还是目录等)。
The metadata cache contains the full path names of directories and files as keys and metadata (e.g. file length, last modification date, and whether the key is a file or a directory) as values.
此外,DynamicQueryMode包含一个细粒度元数据和单元数据缓存(即一个trickle fed)以及一个比以前更高的缓存命中率。
In addition the Dynamic Query Mode contains a fine grained metadata and cell data cache which is trickle fed and a higher cache hit ratio than was previously possible.
GridFilesystem的构造器需要传入两个Infinispan缓存器,第一个参数为数据区块缓存器(指完全创建并运行的构造),第二个参数为元数据缓存器。
The constructor takes two (fully created and running) Infinispan caches, the first for the data chunks and the second for the metadata.
上下文可能会同时影响元数据和数据缓存。
使用GPFSpagepool 可以缓存用户数据和文件系统元数据。
Use GPFS pagepool to cache user data and file system metadata.
例如,它提供了收集缓存对象和缓存区域元数据的实用程序。
For example, it provides utilities for gathering metadata for cached objects and cache regions. You can easily retrieve.
为了避免缓存过期,元数据服务器将收回不准确的布局。
To prevent stale caches, the metadata server recalls layouts that have become inaccurate.
查询规划流程本质上也经过优化,以更好地利用元数据和表达水平缓存,包括提供更高应用程序吞吐量的规划缓存。
The query planning process is also in itself optimized to make better use of metadata and expression level caches, including plan caches which provide higher application throughput.
还可以根据请求参数或其他应用程序元数据定义缓存动态内容的缓存规则。
You can also define caching rules for caching dynamic content based on request parameters or other application metadata.
缓存项的元数据很有用,但获取各个缓存区域的元数据也很有帮助。
Metadata for the cached items is useful, but it is also helpful to get metadata for each cache region.
文件系统驱动程序更新适当的元数据,但是没有时间将其缓存中的数据刷新到磁盘的新块中。
The filesystem driver updated the appropriate metadata, but didn't have time to flush the data from its caches to the new blocks on disk.
前一个复制缓存器使每个节点在本地都有元数据信息,像列出文件列表之类的任务就不必使用RPC远程过程调用了。
The former is replicated so that each node has metadata information locally and would not need to make RPC calls for tasks like listing the files.
好的,那就是使用基于JSON缓存元数据时要做的。
Well, that is exactly what you will do when you employ JSON-based metadata caching.
清单12中的例子显示如何检索缓存项的元数据
The example in Listing 12 shows how to retrieve metadata for cached items
收集缓存区域和项的元数据能帮助您分析Web站点的哪些区域和项目需要优化。
Gathering metadata for cache regions and items helps you analyze which areas and items of your Web site need to be optimized.
然后会根据Portlet作为响应一部分提供的缓存元数据将接收到的响应存储在缓存中。
Received responses are then stored in the cache according to cache meta data provided by the portlet as part of the response.
metadata—org. springframework . roo . metadata模块提供元数据服务提供程序接口和实现,包括依赖项注册和缓存。
Metadata - The org.springframework.roo.metadata module provides a metadata service provider interface and implementation that includes dependency registration and caching.
让我们一起来探究一下如何使用JSON来缓存元数据。
当连接到安全的元数据源时,DynamicQueryMode下提供的缓存逻辑能够在每个用户访问数据源时确定安全的元数据源。
The caching logic available in Dynamic Query Mode is able, when connected to secured metadata sources, to determine the secured access capabilities of each user as they access the data source.
在将表单转换为HTML 时,Translator 将原来的XFDL 表单存储在文件缓存中,并将元数据存储在访问控制服务器中。
When it translates a form into HTML, the Translator stores the original XFDL form in the file cache, and metadata in the access control server.
在将表单转换为HTML 时,Translator 将原来的XFDL 表单存储在文件缓存中,并将元数据存储在访问控制服务器中。
When it translates a form into HTML, the Translator stores the original XFDL form in the file cache, and metadata in the access control server.
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