LeanStore is a high-performance OLTP storage engine optimized for many-core CPUs and NVMe SSDs. Our goal is to achieve performance comparable to in-memory systems when the data set fits into RAM, while being able to fully exploit the bandwidth of fast NVMe SSDs for large data sets. While LeanStore is currently a research prototype, we hope to make it usable in production in the future.
The implementation of WATT can be found in this repository.
Important parts are
- Tracker in the BufferFrame
- Replacement in the Page Evictor
We compared WATT with other strategies based on this simulation:
https://github.com/itodnerd/WATT-simulate
For the simulation we used these traces:
https://github.com/itodnerd/WATT-traces/tree/main/WATT_competition_traces
Install dependencies:
sudo apt-get install cmake libaio-dev libtbb-dev
mkdir build && cd build && cmake -DCMAKE_BUILD_TYPE=RelWithDebInfo .. && make -j
build/frontend/tpcc --ssd_path=./ssd_block_device_or_file --worker_threads=120 --pp_threads=4 --dram_gib=240 --tpcc_warehouse_count=100 --notpcc_warehouse_affinity --csv_path=./log --cool_pct=40 --free_pct=1 --contention_split --xmerge --print_tx_console --run_for_seconds=60
check build/frontend/tpcc --help for other options
The code we used for our CIDR 2021 paper is in a different (and outdated) branch.
@inproceedings{alhomssi21,
author = {Adnan Alhomssi and Viktor Leis},
title = {Contention and Space Management in B-Trees},
booktitle = {CIDR},
year = {2021}
}