ResilientDB is a High Throughput Yielding Permissioned Blockchain Fabric founded by ExpoLab at UC Davis in 2018. ResilientDB advocates a system-centric design by adopting a multi-threaded architecture that encompasses deep pipelines. Further, ResilientDB separates the ordering of client transactions from their execution, which allows it to process messages out-of-order.

1. ResilientDB orders client transactions through a highly optimized implementation of the PBFT [Castro and Liskov, 1998] protocol, which helps to achieve consensus among its replicas. ResilientDB also supports deploying other state-of-the-art consensus protocols [release are planned] such as GeoBFT [blog, released], PoE, RCC, RingBFT, PoC, SpotLess, HotStuff, and DAG.
2. ResilientDB requires deploying at least 3f+1 replicas, where f (f > 0) is the maximum number of arbitrary (or malicious) replicas.
3. ResilientDB supports primary-backup architecture, which designates one of the replicas as the primary (replica with identifier 0). The primary replica initiates consensus on a client transaction, while backups agree to follow a non-malicious primary.
4. ResilientDB exposes a wide range of interfaces such as a Key-Value store, Smart Contracts, UTXO, and Python SDK. Following are some of the decentralized applications (DApps) built on top of ResilientDB: NFT Marketplace and Debitable.
5. To persist blockchain, chain state, and metadata, ResilientDB provides durability through LevelDB and RocksDB.
6. ResilientDB provides access to a seamless GUI display for deployment and maintenance, and supports Grafana for plotting monitoring data.
7. [Historial Facts] The ResilientDB project was founded by Mohammad Sadoghi along with his students (Suyash Gupta as the lead Architect, Sajjad Rahnama as the lead System Designer, and Jelle Hellings) at UC Davis in 2018 and was open-sourced in late 2019. On September 30, 2021, we released ResilientDB v-3.0. In 2022, ResilientDB was completely re-written and re-architected (Junchao Chen as the lead Architect, Dakai Kang as the lead Recovery Architect along with the entire NexRes Team), paving the way for a new sustainable foundation, referred to as NexRes (Next Generation ResilientDB). Thus, on September 30, 2022, NexRes-v1.0.0 was born, marking a new beginning for ResilientDB. On October 21, 2023, ResilientDB was officially accepted into Apache Incubation.

The latest ResilientDB documentation, including a programming guide, is available on our blog repository. This README file provides basic setup instructions.

1. Software Stack Architecture
   • SDK, Interface/API, Platform, Execution, and Chain Layers
   • Detailed API Documentation: Core and SDK
2. SDK Layer: Python SDK and Wallet - ResVault
3. Interface Layer: Key-Value, Solidity Smart Contract, Unspent Transaction Output (UTXO) Model, ResilientDB Database Connectivity (RDBC) API
4. Platform Layer: Consensus Manager Architecture (ordering, recovery, network, chain management)
   • Recovery & Checkpoint Design
5. Execution Layer: Transaction Manager Design (Runtime)
6. Chain Layer: Chain State & Storage Manager Design (durability)
7. Installing & Deploying ResilientDB
   • Build Your First Application: KV Service, UTXO
   • Dashboard: Monitoring, Deployment, Data Pipeline
   • System Parameters & Configuration
   • Continuous Integration & Testing

Ubuntu 20+

Next, we show how to quickly build ResilientDB and deploy 4 replicas and 1 client proxy on your local machine. The proxy acts as an interface for all the clients. It batches client requests and forwards these batches to the replica designated as the leader. The 4 replicas participate in the PBFT consensus to order and execute these batches. Post execution, they return the response to the leader.

Install dependencies:

./INSTALL.sh

Run ResilientDB (Providing a Key-Value Service):

./service/tools/kv/server_tools/start_kv_service.sh

• This script starts 4 replicas and 1 client. Each replica instantiates a key-value store.

Build Interactive Tools:

bazel build service/tools/kv/api_tools/kv_service_tools

ResilientDB supports two types of functions: version-based and non-version-based. Version-based functions will leverage versions to protect each update, versions must be obtained before updating a key.

Note: Version-based functions are not compatible with non-version-based functions. Do not use both in your applications.

We show the functions below and show how to use kv_service_tools to test the function.

Obtain the value of key with a specific version v.

  kv_service_tools --config config_file --cmd get_with_version --key key --version v

Example:

  bazel-bin/service/tools/kv/api_tools/kv_service_tools --config service/tools/config/interface/service.config --cmd get_with_version --key key1 --version 0

Results:

get key = key1, value = value: "v2" version: 2

Set value to the key key based on version v.

  kv_service_tools --config config_file --cmd set_with_version --key key --version v --value value

Example:

  bazel-bin/service/tools/kv/api_tools/kv_service_tools --config service/tools/config/interface/service.config --cmd set_with_version --key key1 --version 0 --value v1

Results:

set key = key1, value = v3, version = 2 done, ret = 0

current value = value: "v3" version: 3

Obtain the update history of key key within the versions [v1, v2].

  kv_service_tools --config config_file --cmd get_history --key key --min_version v1 --max_version v2

Example:

  bazel-bin/service/tools/kv/api_tools/kv_service_tools --config service/tools/config/interface/service.config --cmd get_history --key key1 --min_version 1 --max_version 2

Results:

get history key = key1, min version = 1, max version = 2
value =
item {
  key: "key1"
  value_info {
   value: "v1"
   version: 2
 }
}
item {
  key: "key1"
  value_info {
   value: "v0"
   version: 1
 }
}

Obtain the recent top_number history of the key key.

  kv_service_tools --config config_path --cmd get_top --key key --top top_number

Example:

  bazel-bin/service/tools/kv/api_tools/kv_service_tools --config service/tools/config/interface/service.config --cmd get_top --key key1 --top 1

Results:

key = key1, top 1
value =
item {
 key: "key1"
 value_info {
   value: "v2"
   version: 3
 }
}

Obtain the values of the keys in the ranges [key1, key2]. Do not use this function in your practice code

  kv_service_tools --config config_file --cmd get_key_range_with_version --min_key key1 --max_key key2

Example:

  bazel-bin/service/tools/kv/api_tools/kv_service_tools --config service/tools/config/interface/service.config --cmd get_key_range_with_version --min_key key1 --max_key key3

Results:

min key = key1 max key = key2
getrange value =
item {
  key: "key1"
  value_info {
   value: "v0"
   version: 1
  }
}
item {
  key: "key2"
  value_info {
   value: "v1"
   version: 1
  }
}

Set value to the key key.

  kv_service_tools --config config_file --cmd set --key key --value value

Example:

  bazel-bin/service/tools/kv/api_tools/kv_service_tools --config service/tools/config/interface/service.config --cmd set --key key1 --value value1

Results:

set key = key1, value = v1, done, ret = 0

Obtain the value of key.

  kv_service_tools --config config_file --cmd get --key key

Example:

  bazel-bin/service/tools/kv/api_tools/kv_service_tools --config service/tools/config/interface/service.config --cmd get --key key1

Results:

get key = key1, value = "v2"

Obtain the values of the keys in the ranges [key1, key2]. Do not use this function in your practice code

  kv_service_tools --config config_path --cmd get_key_range --min_key key1 --max_key key2

Example:

  bazel-bin/service/tools/kv/api_tools/kv_service_tools --config service/tools/config/interface/service.config --cmd get_key_range --min_key key1 --max_key key3

Results:

getrange min key = key1, max key = key3
value = [v3,v2,v1]

We also provide access to a deployment script that allows deployment on distinct machines.

1. Install Docker
   Before getting started, make sure you have Docker installed on your system. If you don't have Docker already, you can download and install it from the official Docker website.

2. Pull the Latest ResilientDB Image
   Choose the appropriate ResilientDB image for your machine's architecture:

   • For amd architecture, run:

     docker pull expolab/resdb:amd64

   • For Apple Silicon (M1/M2) architecture, run:

     docker pull expolab/resdb:arm64

3. Run a Container with the Pulled Image
   Launch a Docker container using the ResilientDB image you just pulled:

   • For amd architecture, run:

     docker run -d --name myserver expolab/resdb:amd64

   • For Apple Silicon (M1/M2) architecture, run:

     docker run -d --name myserver expolab/resdb:arm64

4. Test with Set and Get Commands Exec into the running server:

   docker exec -it myserver bash

   Verify the functionality of the service by performing set and get operations provided above functions.