vMVCC: Verified transaction library using multi-version concurrency control

vMVCC is a transaction library aimed at reducing the effort of writing concurrent application code. It is implemented in Go and verified with Perennial, Iris, and Coq. This repository contains its implementation. You can find its formal specification and proof here.

For a high-level overview of its system architecture and proof, please refer to our OSDI'23 paper.

Limitations

1. Interface limited to uint64 keys and string values
2. No durability
3. No range query

Usage

See examples/hello.go for a minimal example of using vMVCC.

Import vMVCC

import "github.com/mit-pdos/vmvcc/vmvcc"

Creating a database and activating garbage collection

func MkDB() *DB
func (db *DB) ActivateGC()

Reading and writing the database

Define your transaction body with the following methods:

func (txn *Txn) Read(key uint64) (string, bool)
func (txn *Txn) Write(key uint64, val string)
func (txn *Txn) Delete(key uint64) bool

Executing transactions

Pick one of the approaches below to execute transactions.

Approach 1: db.Run

Pass your transaction body to db.Run to run the transaction atomically:

func (db *DB) Run(body func(txn *Txn) bool) bool

It is safe to call db.Run concurrently on multiple threads.

Approach 2: txn.Run

To reduce memory allocation for transaction objects, and to have more control over the assignment of transaction sites, another way to run transactions is with the following approach: (1) create a transaction object txn with db.NewTxn, and (2) call txn.Run to run the transaction atomically.

func (db *DB) NewTxn() *Txn
func (txn *Txn) Run(body func(txn *Txn) bool) bool

You can reuse txn as many times as you want, and it is safe to call Run concurrently with different transaction objects. However, it is NOT safe to call Run with the same transaction object concurrently.

Transactions with arguments

Both Run methods (on Txn and on DB) expect a function that takes a single transaction object; use function closures to define your transaction with additional arguments. See examples/xfer.go for an example.

Reproducing the results in the OSDI'23 paper

All the scripts for reproducing the results in the paper can be found in osdi23/scripts.

Run all the experiments with ./osdi23/scripts/all.sh. The results will be generated in the CSV format under the ./exp directory.