November 2020
Intermediate to advanced
226 pages
5h 34m
Chinese
Content preview from C#并发编程经典实例（第2版）
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数据流基础
｜
63
如果要处理更高级的场景，比如有一个处理高强度
CPU
计算的特殊块，那么可以通过设
置
MaxDegreeOfParallelism
选项来命令该块并行操作其输入数据。在默认情况下，该选项
的值为
1
，即每个数据流块一次只能处理一份数据。
可以将
BoundedCapacity
设置为
DataflowBlockOptions.Unbounded
或者任意大于零的值。下
面的示例允许任意数量的任务同时乘以数据。
var
multiplyBlock =
new
TransformBlock<
int
,
int
>(
item => item * 2,
new
ExecutionDataflowBlockOptions
{
MaxDegreeOfParallelism = DataflowBlockOptions.Unbounded
});
var
subtractBlock =
new
TransformBlock<
int
,
int
>(item => item - 2);
multiplyBlock.LinkTo(subtractBlock);
讨论
MaxDegreeOfParallelism
选项让块内部的并行处理简单易行，但确定哪些块需要使用这个选
项并不简单。这里有一个技巧，那就是在调试器中暂停执行数据流。我们可以在调试器中
看到待处理数据项的数量。如果数量惊人，就意味着可以通过重构或者并行化来加以改善。
对于执行异步处理的数据流块，
MaxDegreeOfParallelism
同样有效 ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.