Skip to content

asangeethada/daml

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Daml logo

Download License Build

Copyright (c) 2022 Digital Asset (Switzerland) GmbH and/or its affiliates. All Rights Reserved. SPDX-License-Identifier: Apache-2.0

Welcome to the Daml repository!

This repository hosts all code for the Daml smart contract language and SDK, originally created by Digital Asset. Daml is an open-source smart contract language for building future-proof distributed applications on a safe, privacy-aware runtime. The SDK is a set of tools to help you develop applications based on Daml.

Using Daml

To download Daml, follow the installation instructions. Once installed, to try it out, follow the quickstart guide.

If you have questions about how to use Daml or how to build Daml-based solutions, please join us on the Daml forum. Alternatively, if you prefer asking on StackOverflow, please use the daml tag.

Contributing to Daml

We warmly welcome contributions. If you are looking for ideas on how to contribute, please browse our issues. To build and test Daml:

1. Clone this repository

git clone git@github.com:digital-asset/daml.git
cd daml

2. Set up the development dependencies

Our builds require various development dependencies (e.g. Java, Bazel, Python), provided by a tool called dev-env.

Linux

On Linux dev-env can be installed with:

  1. Install Nix by running: bash <(curl -sSfL https://nixos.org/nix/install)
  2. Enter dev-env by running: eval "$(dev-env/bin/dade assist)"

If you don't want to enter dev-env manually each time using eval "$(dev-env/bin/dade assist)", you can also install direnv. This repo already provides a .envrc file, with an option to add more in a .envrc.private file.

Mac

On Mac dev-env can be installed with:

  1. Install Nix by running: bash <(curl -sSfL https://nixos.org/nix/install)

    • This is a multi-user installation (there is no single-user installation option for macOS). Because of this, you need to configure /etc/nix/nix.conf to use Nix caches:
    1. Add yourself as a nix trusted user by running echo "extra-trusted-users = $USER" | sudo tee -a /etc/nix/nix.conf

    2. Restart the nix-daemon by running sudo launchctl stop org.nixos.nix-daemon && sudo launchctl start org.nixos.nix-daemon

  2. Enter dev-env by running: eval "$(dev-env/bin/dade assist)"

If you don't want to enter dev-env manually each time using eval "$(dev-env/bin/dade assist)", you can also install direnv. This repo already provides a .envrc file, with an option to add more in a .envrc.private file.

Note that after a macOS update it can appear as if Nix is not installed. This is because macOS updates can modify shell config files in /etc, which the multi-user installation of Nix modifies as well. A workaround for this problem is to add the following to your shell config file in your $HOME directory:

# Nix
if [ -e '/nix/var/nix/profiles/default/etc/profile.d/nix-daemon.sh' ]; then
  . '/nix/var/nix/profiles/default/etc/profile.d/nix-daemon.sh'
fi
# End Nix

See NixOS/nix#3616 for more information about this issue.

MacOS M1

The above procedure will use and build native arm64 M1 binaries for this project. However, note that at the time of writing the CI system of the Daml project does not yet include MacOS M1 nodes. Therefore, the M1 configuration is untested on CI, and the remote cache is not populated with native M1 artifacts.

If you encounter issues with a native M1 build, then you can configure project to build x86-64 binaries instead and run them through Rosetta. To do that replace the contents of the file nix/system.nix with the following content:

"x86_64-darwin"

Windows

On Windows you need to enable long file paths by running the following command in an admin powershell:

Set-ItemProperty -Path 'HKLM:\SYSTEM\CurrentControlSet\Control\FileSystem' -Name LongPathsEnabled -Type DWord -Value 1

You also need to configure Bazel for Windows:

echo "build --config windows" > .bazelrc.local

Note, if you are on a Windows ad-hoc or CI machine you can use ci/configure-bazel.sh instead of performing these steps manually. In that case, you should checkout the daml repository into the path D:\a\1\s in order to be able to use remote cache artifacts.

Then start dev-env from PowerShell with:

.\dev-env\windows\bin\dadew.ps1 install
.\dev-env\windows\bin\dadew.ps1 sync
.\dev-env\windows\bin\dadew.ps1 enable

In all new PowerShell processes started, you need to repeat the enable step.

3. Lint, build, and test

We have a single script to build most targets and run the tests. On Linux and Mac run ./build.sh. On Windows run .\build.ps1. Note that these scripts may take over an hour the first time.

To just build do bazel build //..., and to just test do bazel test //.... To read more about Bazel and how to use it, see the Bazel site.

On Mac if building is causing trouble complaining about missing nix packages, you can try first running nix-build -A tools -A cached nix repeatedly until it completes without error.

CI will run a few checks with regards to formatting, linting, presence of copyright headers, and so on. In order to make sure your PR can smoothly go through those checks, we use a tool called pre-commit. The tool is managed by Nix and you don't have to install it. If you use direnv, the tool will automatically install a pre-push hook that will run the relevant checks right before you push. This will give you a chance to apply necessary amendments before your contribution reaches CI. If you don't use direnv you can still use the tool by activating it manually (have a look at how it's done in .envrc). If you use direnv but prefer to not use the tool at all, you can add the line export DADE_NO_PRE_COMMIT=anything_really to .envrc.private. You can also customize the phase at which the hooks will run by exporting the environment variable DADE_PRE_COMMIT_HOOK_TYPE and setting it to one of the supported stages (pre-commit is a common choice, but the default when installed via direnv will be pre-push to reduce the times the hooks will run while still making sure that you can have a tight feedback loop to fix linting errors).

4. Installing a local copy

On Linux and Mac run daml-sdk-head which installs a version of the SDK with version number 0.0.0. Set the version: field in any Daml project to 0.0.0 and it will use the locally installed one.

On Windows:

bazel build //release:sdk-release-tarball
tar -vxf .\bazel-bin\release\sdk-release-tarball-ce.tar.gz
cd sdk-*
daml\daml.exe install . --install-assistant=yes

That should tell you what to put in the path, something along the lines of C:\Users\admin\AppData\Roaming\daml\bin. Note that the Windows build is not yet fully functional.

Caching: build speed and disk space considerations

Bazel has a lot of nice properties, but they come at the cost of frequently rebuilding "the world". To make that bearable, we make extensive use of caching. Most artifacts should be cached in our CDN, which is configured in .bazelrc in this project.

However, even then, you may end up spending a lot of time (and bandwidth!) downloading artifacts from the CDN. To alleviate that, by default, our build will create a subfolder .bazel-cache in this project and keep an on-disk cache. This can take about 10GB at the time of writing.

To disable the disk cache, remove the following lines:

build:linux --disk_cache=.bazel-cache
build:darwin --disk_cache=.bazel-cache

from the .bazelrc file.

If you work with multiple copies of this repository, you can point all of them to the same disk cache by overwriting these configs in either a .bazelrc.local file in each copy, or a ~/.bazelrc file in your home directory.

Shared memory segment issues

On macOS at least, it looks like our setup does not always properly close the resources PostgreSQL uses. After a number of test runs, you may encounter an error message along the lines of:

FATAL:  could not create shared memory segment: No space left on device
DETAIL:  Failed system call was shmget(key=5432001, size=56, 03600).
HINT:  This error does *not* mean that you have run out of disk space. It occurs either if all available shared memory IDs have been taken, in which case you need to raise the SHMMNI parameter in your kernel, or because the system's overall limit for shared memory has been reached.
        The PostgreSQL documentation contains more information about shared memory configuration.
child process exited with exit code 1

In this case, this is a memory leak, so increasing SHMNI (or SHMALL etc.) as suggested will only delay the issue. You can look at the existing shared memory segments on your system by running ipcs -mcopt; this will print a line per segment, indicating the process ID of the last process to connect to the segment as well as the last access time and the number of currently connected processes.

If you identify segments with no connected processes, and you are confident you can remove them, you can do so with ipcrm $sid, where $sid is the process ID displayed (as the second column) by ipcs. Not many macOS applications use shared memory segments; if you have verified that all the existing memory segments on your machine need to be deleted, e.g. because they have all been created by PostgreSQL instances that are no longer running, here is a Bash invocation you can use to remove all shared memory segments from your system.

This is a dangerous command. Make sure you understand what it does before running it.

for shmid in $(ipcs -m | sed 1,3d | awk '{print $2}' | sed '$d'); do ipcrm -m $shmid; done

Haskell profiling builds

To build Haskell executables with profiling enabled, pass -c dbg to Bazel, e.g. bazel build -c dbg damlc. If you want to build the whole SDK with profiling enabled use daml-sdk-head --profiling.

About

The Daml smart contract language

Resources

License

Code of conduct

Security policy

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Scala 64.4%
  • Haskell 20.8%
  • Starlark 5.7%
  • TypeScript 3.7%
  • Java 3.4%
  • Shell 1.1%
  • Other 0.9%