* Add bounding feature (cherry picked from commit96b8aa8bd1
) * Repurpose unused as Clock::epoch_start_timestamp; add gated update (cherry picked from commit0049ab69fb
) * Add bounded timestamp-estimation method (cherry picked from commit80db6c0980
) * Use bounded timestamp-correction when feature enabled (cherry picked from commit90778615f6
) * Prevent block times from ever going backward (cherry picked from commiteb2560e782
) * Sample votes from ancestors back to root (cherry picked from commit4260b3b416
) * Add Clock sysvar details, update struct docs (cherry picked from commit3a1e125ce3
) * Add design proposal and update validator-timestamp-oracle (cherry picked from commita3912bc084
) * Adapt to feature::create_account Co-authored-by: Tyera Eulberg <tyera@solana.com> Co-authored-by: Michael Vines <mvines@gmail.com>
solana-sdk
into a new crate called solana-program
(bp #12989) (#13131)
Building
1. Install rustc, cargo and rustfmt.
$ curl https://sh.rustup.rs -sSf | sh
$ source $HOME/.cargo/env
$ rustup component add rustfmt
Please sure you are always using the latest stable rust version by running:
$ rustup update
On Linux systems you may need to install libssl-dev, pkg-config, zlib1g-dev, etc. On Ubuntu:
$ sudo apt-get update
$ sudo apt-get install libssl-dev libudev-dev pkg-config zlib1g-dev llvm clang
2. Download the source code.
$ git clone https://github.com/solana-labs/solana.git
$ cd solana
3. Build.
$ cargo build
4. Run a minimal local cluster.
$ ./run.sh
Testing
Run the test suite:
$ cargo test
Starting a local testnet
Start your own testnet locally, instructions are in the online docs.
Accessing the remote testnet
testnet
- public stable testnet accessible via devnet.solana.com. Runs 24/7
Benchmarking
First install the nightly build of rustc. cargo bench
requires use of the
unstable features only available in the nightly build.
$ rustup install nightly
Run the benchmarks:
$ cargo +nightly bench
Release Process
The release process for this project is described here.
Code coverage
To generate code coverage statistics:
$ scripts/coverage.sh
$ open target/cov/lcov-local/index.html
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!
Disclaimer
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.