It is the disk write speed that causes the bottleneck.
而只有磁盘写入速率才会造成瓶颈。
Disk Writes: Total number of write operations to disk.
Disk Writes：磁盘写操作的总数。
The disk write is always much much slower than writing into memory.
磁盘写总比内存慢得多，写为。
So, you should not expect the disk write be as fast as you method call.
所以，你不要指望磁盘的写作为你的方法调用一样快。
To address this, the logs are placed on fast write cached disks, reducing the disk write time.
为了解决这个问题，把系统放在快速写入高速缓存磁盘上，以减少磁盘写入时间。
So again, when the disk write completes, it is guaranteed to be both on the production and the backup copy.
所以，当磁盘写入完成后，可以保证同时在生产和备份副本上完成了写入。
The load that clustering adds to a server is proportional to disk write rates due to the workload on the server.
受到服务器工作负载的影响，集群向服务器增加的负载与磁盘读比率是成比例的。
We then ran the workload with varying numbers of users and measured the client response time, probe response time, CPU utilization, disk write times, and disk utilization.
然后，我们使用不同的用户数运行工作负载，并测量客户机响应时间、探测响应时间、CPU利用率、磁盘写时间和磁盘利用率。
Even though SSD writes are faster than traditional disk writes, disk write cache typically provides good disk write performance and levels the playing field between the two types.
即便SSD写操作要快于传统的磁盘，但是磁盘写缓存通常提供良好的磁盘写性能，从而使这两种类型的磁盘可以实现相差无几的写性能。
There might not be enough disk space to complete the file write operation, or allocating the buffer could fail if not enough memory is available.
可能没有足够的磁盘空间来完成该文件的写操作，或者由于没有足够的内存可用，分配缓冲区可能失败。
Using the fastest hardware and storage management configuration possible, which involves factors such as disk and channel speed, write caching, and parallel writes.
尽可能使用最快的硬件和存储管理配置，这包括磁盘和通道速度、写缓存以及并行写等因素。
The primary server has write access to a disk or disk array, while all SDS servers have read-only access.
主服务器拥有对一个磁盘或磁盘阵列的写访问权，而所有SDS服务器则仅拥有只读访问权。
For each cluster database replica, network traffic associated with write disk operations is approximately doubled.
对于每个集群数据库副本，与写磁盘操作相关的网络流量会加倍。
Because these blocks are contiguous on the disk, there's better read and write performance for them.
由于这些块在磁盘上是连续的，其读取和写入的性能就会更好。
In GAE, you can't write files to disk because there's no useable file system.
在GAE 上，您是无法将文件写入到磁盘的，因为 GAE根本没有可用的文件系统。
Utilize disk storage with fast write cache for the logs.
为日志分配一个具有快速写入缓存的磁盘存储器。
Unfortunately, certain laptop hard drives now on the market have the dubious feature of ignoring any official ATA request to flush their write cache to disk.
不幸的是，现在市场上某些膝上电脑的硬盘具有这样一种不可靠的特性，即忽略将它们的写高速缓存刷新到磁盘上的所有正式AT A请求。
LIO VP: Runs internal threads that write to the logical log on the disk.
LIOVP：运行内部线程从而写入磁盘上的逻辑日志。
When everything looks good, press "w" to write the changes to disk.
当确认无误后，按“w ”将变化写到硬盘。
Page Write: Number of pages written to disk.
PageWrite：写到磁盘的页面数量。
Write an XML document to the disk, and
将XML文档写入到磁盘
F2PC to the remote source is enabled, and the federated server's logs are on a disk without write caching (green).
远程数据源启用了F2PC，且联邦服务器的日志放在无写缓存的磁盘上(绿色)。
F2PC to the remote source is enabled, and the federated server's logs are on a disk with write caching (yellow).
远程数据源启用了F2PC，且联邦服务器的日志放在带写缓存的磁盘上(黄色)。
Linux, under normal circumstances, USES a system file cache to buffer, read, and write requests from disk.
在一般情况下，Linux使用一个文件系统缓存为磁盘请求进行缓冲和读写。
For a given type of log disk (with or without write caching), Websphere Federation Server achieves a 16% - 26% higher transaction throughput than DataJoiner.
对于一种给定类型的日志磁盘(带或者不带写缓存)，WebsphereFederationServer的事务吞吐量比DataJoiner高16%- 26%。
The function then grabs every line in the current file (getline(1,'$')) and calls the built-in writefile() function to write them to disk.
函数随后获取当前文件（getline(1,'$')）中的每一行并调用内置的writefile() 函数来将它们写入到磁盘中。
After each write test, the test disk was unmounted as a way to ensure that no operations remained in Linux's disk cache.
在每个写测试之后，测试磁盘被卸载，以确保在Linux的磁盘缓存中没有操作。
WriteIndexInterval sets how often to write the index to disk (in seconds).
WriteIndexInterval设置将索引写入磁盘的时间间隔(秒)。
WriteIndexInterval sets how often to write the index to disk (in seconds).
WriteIndexInterval设置将索引写入磁盘的时间间隔(秒)。
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