Revisiting PM-Based B-Tree With Persistent CPU Cache

Persistent memory (PM) promises near-DRAM performance as well as data persistence. Recently, a new feature called eADR is available for PM-equipped platforms to guarantee the persistence of CPU cache. The emergence of eADR presents unique opportunities to build lock-free data structures and unleash the full potential of PM. In this paper, we propose NBTree, a lock-free PM-friendly B <tex-math notation="LaTeX">⁺</tex-math> -Tree, to deliver high scalability and low PM overhead. To our knowledge, NBTree is the first persistent index designed for PM systems with persistent CPU cache. To achieve lock-free, NBTree uses atomic primitives to serialize index operations. Moreover, NBTree proposes five novel techniques to enable lock-free accesses during structural modification operations (SMO), including three-phase SMO , sync-on-write , sync-on-read , cooperative SMO , and shift-aware search . To reduce PM access overhead, NBTree employs a decoupled leaf node design to absorb the metadata accesses in DRAM. Moreover, NBTree devises a cache-crafty persistent allocator and adopts log-structured insert and in-place update/delete to enhance the access locality of write operations, absorbing a substantial amount of PM writes in persistent CPU cache. Our evaluation shows that NBTree achieves up to 11× higher throughput and 43× lower 99% tail latency than state-of-the-art persistent B <tex-math notation="LaTeX">⁺</tex-math> -Trees under YCSB workloads.