这种情况下，通过自然语言的模式注释来获得语义透明性可能非常困难。
In such cases, it might be very difficult to achieve semantic transparency through natural language schema annotations.
通常，巨量的实时数据使得确定这些事件中的模式变得非常困难。
Often, the sheer amount of live data makes it hard to identify the patterns in these events.
然而，要随时牢记这种模式的弱点：如果超越了该模式的最基本应用，结合这两个竞争的同步机制将变得非常困难。
However, bear in mind the fragility of this pattern: With two competing synchronization mechanisms, this can get very tricky if you branch out beyond the most basic application of this pattern.
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