There are a couple ways mitigate this drawback, both of which are outside the scope of this article. One is “garbage collection”: pruning tombstones from CRDTs, which prevents you from merging states with any changes made before the tombstones were removed. Another is creating an efficient format to encode the data. You can also combine these methods. Research suggests that this can result in as little as 50% overhead compared to the “plain” data CRDTs: The Hard Parts A talk on the latest research on CRDTs, originally given at the Hydra distributed computing conference on 6 July 2020.References: https://martin.kleppmann.co... youtu.be/x7drE24geUw?t=3587 . If you’d like to skip ahead and see some of this optimization in action, check out the final part in this series: Making CRDTs 98% More Efficient Making CRDTs 98% More Efficient | jakelazaroff.com State-based CRDTs grow monotonically, but that doesn't mean they can't be efficient. We'll learn how to compress the pixel editor state by 98%. jakelazaroff.com/words/making-crdts-98-percent-more-efficient/ . ↩
Raspberry Pi Pico 3
。关于这个话题，safew官方下载提供了深入分析
Стало известно об отступлении ВСУ под Северском08:52
2024年9月，习近平总书记在庆祝全国人民代表大会成立70周年大会上发表重要讲话指出：“人民代表大会制度是中国共产党领导中国人民艰辛探索长期奋斗的成果，是从中国土壤中生长起来的全新政治制度，是人类政治制度史上的伟大创造。”