solana-with-rpc-optimizations/README.md

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[![Solana crate](https://img.shields.io/crates/v/solana.svg)](https://crates.io/crates/solana)
[![Solana documentation](https://docs.rs/solana/badge.svg)](https://docs.rs/solana)
[![Build Status](https://travis-ci.org/solana-labs/solana.svg?branch=master)](https://travis-ci.org/solana-labs/solana)
[![codecov](https://codecov.io/gh/solana-labs/solana/branch/master/graph/badge.svg)](https://codecov.io/gh/solana-labs/solana)
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Disclaimer
===
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All claims, content, designs, algorithms, estimates, roadmaps, specifications, and performance measurements described in this project are done with the author's best effort. It is up to the reader to check and validate their accuracy and truthfulness. Furthermore nothing in this project constitutes a solicitation for investment.
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Solana: High Performance Blockchain
===
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Solana™ is a new architecture for a high performance blockchain. It aims to support
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over 700 thousand transactions per second on a gigabit network.
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Running the demo
===
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First, install Rust's package manager Cargo.
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```bash
$ curl https://sh.rustup.rs -sSf | sh
$ source $HOME/.cargo/env
```
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The testnode server is initialized with a ledger from stdin and
generates new ledger entries on stdout. To create the input ledger, we'll need
to create *the mint* and use it to generate a *genesis ledger*. It's done in
two steps because the mint.json file contains a private key that will be
used later in this demo.
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```bash
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$ echo 1000000000 | cargo run --release --bin solana-mint | tee mint.json
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$ cat mint.json | cargo run --release --bin solana-genesis | tee genesis.log
```
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Now you can start the server:
```bash
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$ cat genesis.log | cargo run --release --bin solana-testnode | tee transactions0.log
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```
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Then, in a separate shell, let's execute some transactions. Note we pass in
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the JSON configuration file here, not the genesis ledger.
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```bash
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$ cat mint.json | cargo run --release --bin solana-client-demo
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```
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Now kill the server with Ctrl-C, and take a look at the ledger. You should
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see something similar to:
```json
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{"num_hashes":27,"id":[0, "..."],"event":"Tick"}
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{"num_hashes":3,"id":[67, "..."],"event":{"Transaction":{"tokens":42}}}
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{"num_hashes":27,"id":[0, "..."],"event":"Tick"}
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```
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Now restart the server from where we left off. Pass it both the genesis ledger, and
the transaction ledger.
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```bash
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$ cat genesis.log transactions0.log | cargo run --release --bin solana-testnode | tee transactions1.log
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```
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Lastly, run the client demo again, and verify that all funds were spent in the
previous round, and so no additional transactions are added.
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```bash
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$ cat mint.json | cargo run --release --bin solana-client-demo
```
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Stop the server again, and verify there are only Tick entries, and no Transaction entries.
Developing
===
Building
---
Install rustc, cargo and rustfmt:
```bash
$ curl https://sh.rustup.rs -sSf | sh
$ source $HOME/.cargo/env
$ rustup component add rustfmt-preview
```
Download the source code:
```bash
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$ git clone https://github.com/solana-labs/solana.git
$ cd solana
```
Testing
---
Run the test suite:
```bash
cargo test
```
Benchmarking
---
First install the nightly build of rustc. `cargo bench` requires unstable features:
```bash
$ rustup install nightly
```
Run the benchmarks:
```bash
$ cargo +nightly bench --features="unstable"
```
Code coverage
---
To generate code coverage statistics, run kcov via Docker:
```bash
$ docker run -it --rm --security-opt seccomp=unconfined --volume "$PWD:/volume" elmtai/docker-rust-kcov
```
Why coverage? While most see coverage as a code quality metric, we see it primarily as a developer
productivity metric. When a developer makes a change to the codebase, presumably it's a *solution* to
some problem. Our unit-test suite is how we encode the set of *problems* the codebase solves. Running
the test suite should indicate that your change didn't *infringe* on anyone else's solutions. Adding a
test *protects* your solution from future changes. Say you don't understand why a line of code exists,
try deleting it and running the unit-tests. The nearest test failure should tell you what problem
was solved by that code. If no test fails, go ahead and submit a Pull Request that asks, "what
problem is solved by this code?" On the other hand, if a test does fail and you can think of a
better way to solve the same problem, a Pull Request with your solution would most certainly be
welcome! Likewise, if rewriting a test can better communicate what code it's protecting, please
send us that patch!