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Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated Memory

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Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated Memory

Sherman is a B+Tree on disaggregated memory; it uses one-sided RDMA verbs to perform all index operations. Sherman includes three techniques to boost write performance:

  • A hierarchical locks leveraging on-chip memory of RDMA NICs.
  • Coalescing dependent RDMA commands
  • Two-level version layout in leaf nodes

For more details, please refer to our paper:

[SIGMOG'22] Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated Memory. Qing Wang and Youyou Lu and Jiwu Shu.

System Requirements

  1. Mellanox ConnectX-5 NICs and above
  2. RDMA Driver: MLNX_OFED_LINUX-4.7-3.2.9.0 (If you use MLNX_OFED_LINUX-5**, you should modify codes to resolve interface incompatibility)
  3. NIC Firmware: version 16.26.4012 and above (to support on-chip memory, you can use ibstat to obtain the version)
  4. memcached (to exchange QP information)
  5. cityhash
  6. boost 1.53 (to support boost::coroutines::symmetric_coroutine)

Getting Started

  • cd Sherman
  • ./script/hugepage.sh to request huge pages from OS (use ./script/clear_hugepage.sh to return huge pages)
  • mkdir build; cd build; cmake ..; make -j
  • cp ../script/restartMemc.sh .
  • configure ../memcached.conf, where the 1st line is memcached IP, the 2nd is memcached port

For each run:

  • bash ./restartMemc.sh (to initialize memcached server)
  • In each server, execute ./benchmark kComputeNodeCount kMemoryNodeCount kReadRatio kThreadCount tablescan

We emulate each server as one compute node and one memory node: In each server, as the compute node, we launch kReadRatio client threads; as the memory node, we launch one memory thread.

In ./test/benchmark.cpp, we can modify kKeySpace and zipfan, to generate different workloads. In addition, we can open the macro USE_CORO to bind kCoroCnt coroutine on each client thread.

TODO

  • Re-write delete operations

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