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One-phase Batch Update on Sparse Merkle Tree for Rollups

This repository contains the implementation of the paper "One-phase Batch Update on Sparse Merkle Tree for Rollups". https://arxiv.org/abs/2310.13328

Acknowledgement: Thanks to the zkSync team from Matter Labs for the Sparse Merkle tree implementation of which this repository is based on. Refer to https://github.com/matter-labs/zksync for the original code base.

Repository Structure

The file structure below only includes relevent directories

├── one-phase-batch-update-SMT
    ├── bin
        |── test_tree (Playground of various experiments)
        |── data (real-world data collected from zkSync Lite scanner)
        |── tree_cache (pre-loaded SMTs)
        |── src
            |── libs.rs (helper functions)
            |── main.rs (main experiment loop)
    ├── lib
        ├── crypto
            ├── src
                ├── merkle_tree
                    ├── parallel_smt.rs (Implementation of SMT algorithms)

How to run

Tests

cd one-phase-batch-update-SMT
cargo test

Experiments Before running the experiments, you will need to hard code the experiment you wish to run. Available experiments are:

  1. big_bench (SMT.Update, refer to Fig.4.A1 in paper)
  2. big_bench_random (SMT.Update in random order, refer to Fig.4.A2 in paper)
  3. big_bench_insert_new(SMT.Insert, refer to Fig.4.A3 in paper)
  4. big_bench_remove (SMT.Remove)
  5. benchmark_real_blocks (MacroBenchmark, refer to fig.6 in paper)
cd one-phase-batch-update-SMT/bin/test_tree
cargo run > results.txt