# Official toolchain for ScyllaDB While we aim to build out-of-the-box on recent distributions, this isn't always possible and not everyone runs a recent distribution. For this reason a version-controlled toolchain is provided as a docker image. ## Quick start If your workstation supports docker (without requiring sudo), you can build and run Scylla easily without setting up the build dependencies beforehand: ./tools/toolchain/dbuild ./configure.py ./tools/toolchain/dbuild ninja build/release/scylla ./tools/toolchain/dbuild ./build/release/scylla --developer-mode 1 ## The `dbuild` script The script `dbuild` allows you to run any command in that toolchain with the working directory mounted: ./tools/toolchain/dbuild ./configure.py ./tools/toolchain/dbuild ninja The script will bind-mount ~/.cache and ~/.config so sccache within the container will access a cache directory on the host, so the cache is persistent across runs. You can adjust the `docker run` command by adding more flags before the command to be executed, separating the flags and the command with `--`. This can be useful to attach more volumes (say, for /var/lib/scylla) and to set environment variables. For example, to mount /var/lib/scylla: ./tools/toolchain/dbuild -e MYVAR=foo -v $HOME/data:/var/lib/scylla:z -- ninja To pass the same options to every run of dbuild, put them in the file ~/.config/scylladb/dbuild, which should contain a bash array assignment: SCYLLADB_DBUILD=(-e PATH=/usr/lib64/ccache:/usr/bin:/usr/local/bin -v $HOME/.ccache:$HOME/.ccache:z) The script also works from other directories, so if you have `scylla-ccm` checked out alongside scylla, you can write ../scylla/tools/toolchain/dbuild ./ccm ... You will have access to both scylla and scylla-ccm in the container. Interactive mode is also supported: running `dbuild` with no arguments will drop you into a shell, with all of the toolchain accessible. ## Obtaining the current toolchain The toolchain is stored in a file called `tools/toolchain/image`. Normally, `dbuild` will fetch the toolchain automatically. If you want to access the toolchain explicitly, pull that image: docker pull $( dnf info clang` for the to-be-packaged version. If they are different, you must use the procedure that also regenerates clang. ## Emulated publishing procedure (slow, no clang regeneration) 1. Pick a new name for the image (in `tools/toolchain/image`) and commit it. The commit updating install-dependencies.sh should include the toolchain change, for atomicity. Do not push the commit to `next` yet. 2. Run `tools/toolchain/prepare --clang-build-mode INSTALL_FROM --clang-archive-x86_64 --clang-archive-aarch64 ` and wait. The clang archive needs to be downloaded prior to build. It requires `buildah` and `qemu-user-static` to be installed (and will complain if they are not). The clang archive is recorded in each commit that changes the toolchain (`git log -1 tools/toolchain/image`). The URLs point to an object storage bucket we maintain. 3. Publish the image using the instructions printed by the previous step. 4. Push the `next` branch that refers to the new toolchain. ## Native publishing procedure (complicated, no clang regeneration) 1. Pick a new name for the image (in `tools/toolchain/image`) and commit it. The commit updating install-dependencies.sh should include the toolchain change, for atomicity. Do not push the commit to `next` yet. 2. Push the commit to a personal repository/branch. 3. Perform the following on an x86 and an ARM machine: 1. check out the branch containing the new toolchain name 2. Run `git submodule update --init --recursive` to make sure all the submodules are synchronized 3. Run `tools/toolchain/prepare --clang-build-mode INSTALL_FROM --clang-archive-x86_64 --clang-archive-aarch64 --disable-multiarch`. This should complete relatively quickly. The clang archive is recorded in each commit that changes the toolchain (`git log -1 tools/toolchain/image`). The URLs point to an object storage bucket we maintain. 4. Now, create a multiarch image with the following: 1. Push one of the images using the `podman manifest push` command suggested by `tools/toolchain/prepare`. 2. For the other image, first merge the other image into it. This is done by using the command from step 1, but replacing `push` with `add`. For example, if in step 1 you pushed the x86_64 image, in step 2 you add the x86_64 image to the local aarch64 image. This creates a local image supporting the two architectures. 3. Push the combined image using the `podman manifest push` command suggested by `tools/toolchain/prepare`. This replaces the single-architecture image with a two-architecture image. 5. Now push the commit that updated the toolchain with `git push`. ## Native publishing procedure (complicated, with clang regeneration) 1. Pick a new name for the image (in `tools/toolchain/image`) and commit it. The commit updating install-dependencies.sh should include the toolchain change, for atomicity. Do not push the commit to `next` yet. 2. In tools/toolchain/optimized_clang.sh, adjust the variable LLVM_CLANG_TAG to point to the version of clang you want to build. It should match what is available in Fedora at this point in time. Amend the commit with this, but don't push it to `next` yet. 3. Push the commit to a personal repository/branch. 4. Perform the following on an x86 and an ARM machine: 1. check out the branch containing the new toolchain name 2. Run `git submodule update --init --recursive` to make sure all the submodules are synchronized 3. Make sure the clang generation directories are removed: ./build_profile and ./clang_build 4. Run `tools/toolchain/prepare --clang-build-mode INSTALL --clang-archive-x86_64 --clang-archive-aarch64 `. This will be quite slow as clang and scylla are built multiple times. Pick a new name for the clang archive based on previous names. The names are recorded in each commit that changes the toolchain (`git log -1 tools/toolchain/image`). The names include the Fedora version this is built on, the clang version, and the architecture. The new name must be unique. The URLs point to an object storage bucket we maintain. 5. Upload the generated clang image to its URL. Use `gsutil cp ` where `GSURL` is the same as `URL` except the protocol is `gs` instead of `https`. 5. Now, create a multiarch image with the following: 1. Push one of the images using the `podman manifest push` command suggested by `tools/toolchain/prepare`. 2. For the other image, first merge the other image into it. This is done by using the command from step 1, but replacing `push` with `add`. For example, if in step 1 you pushed the x86_64 image, in step 2 you add the x86_64 image to the local aarch64 image. This creates a local image supporting the two architectures. 3. Push the combined image using the `podman manifest push` command suggested by `tools/toolchain/prepare`. This replaces the single-architecture image with a two-architecture image. 6. Now push the commit that updated the toolchain with `git push`. Remember to record the clang archive URLs for future reference. ## Troubleshooting When running `sudo` inside the container fails like this: ``` $ tools/toolchain/dbuild /bin/bash bash-4.4$ sudo dnf install gdb sudo: unknown uid 1000: who are you? ``` You can work it around by disabling SELinux on the host before running `dbuild`: ``` $ sudo setenforce 0 ``` ## The future toolchain To prevent surprises when new Fedora/libstdc++/clang are made available, a spec for a "future" toolchain is available in tools/toolchain/future.dockerfile. See that file for details.