Finally, to address the slow and weakly consistent S3 reads, the database leans on lock-free B-link trees. That lets readers keep moving while background checkpoints/updates by clients split or reorganize index pages. In B-link trees, each node points to its right sibling. If a checkpoint splits a page, readers just follow the pointer without blocking. Since update corruption is still a risk, a LOCK queue token ensures only one thread checkpoints a specific PU queue at a time. (I told you this is complicated.) The paper admits this is a serious bottleneck: hot-spot objects updated thousands of times per second simply can’t scale under this design.
Compile a .rs file by running:
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