Transforms don't execute until the consumer pulls. There's no eager evaluation, no hidden buffering. Data flows on-demand from source, through transforms, to the consumer. If you stop iterating, processing stops.
The entire pipeline executes in a single call stack. No promises are created, no microtask queue scheduling occurs, and no GC pressure from short-lived async machinery. For CPU-bound workloads like parsing, compression, or transformation of in-memory data, this can be significantly faster than the equivalent Web streams code – which would force async boundaries even when every component is synchronous.
。体育直播对此有专业解读
二、量的增长：体量规模与主体数量持续扩容
除依照本章规定承运人不承担赔偿责任的情形外，由于承运人的过错，致使货物因迟延交付而灭失、损坏或者遭受其他经济损失的，承运人应当承担赔偿责任。