Хитрость иранских ракетчиков оценили20:57
Surviving SQS and building B-link Trees on S3As mentioned above, to bypass the severe latency of writing full data pages directly to S3, clients commit transactions by shipping small redo log records to SQS queues. Subsequently, clients act as checkpointers, asynchronously pulling these queued logs and applying the updates to their local copies before writing the newly materialized B-tree pages back to S3. This asynchronous log-shipping model means B-tree pages on S3 can be arbitrarily out-of-date compared to the real-time logs in SQS. Working on such stale state seems impossible, but the authors bound the staleness: writers (and probabilistically readers) run asynchronous checkpoints that pull batches of logs from SQS and apply them to S3, keeping the database consistent despite delays.
，这一点在Line官方版本下载中也有详细论述
Zig and Rust provide for a nice comparison. In Zig, every file can be，这一点在PDF资料中也有详细论述
In recent years, as population aging has accelerated and the share of dual-income urban households has remained high, the supply of labor within households has become increasingly tight, and the hidden costs of domestic work have continued to rise—making demand for efficient, automated home-service solutions ever more urgent. At the same time, breakthrough progress in large AI models and computing power has reshaped robots’ cognitive and execution logic, creating a new technological paradigm for home services. The release of rigid market demand and the empowerment from rapid iteration in frontier technologies are reinforcing each other, pushing large-scale deployment of home embodied intelligence from vision to reality.