mirror of
https://github.com/datahaven-xyz/datahaven
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## Changes - New CI file for making Docker Prod images - Changed E2E tests use an image built from a local dockerfile - Some cargo build options to make it quicker - Fix the cache hit rate - added `tsgo` preview to the project 😎 - Can be invoked with `bun tsgo` to typecheck - Install in IDE [VSCode](https://code.visualstudio.com/docs/configure/extensions/extension-marketplace) & [Zed](https://github.com/zed-extensions/tsgo) for super-fast inline typechecking (as you type basically) ## Context This PR attempts to make the frankly unacceptable CI times better. This achieves that aim by making a crappy image for day-to-day usage and let the prod issue take ages since that will be infrequently used. The reason why the original design didn't work for us is because: 1) we are using the free GH runners 2) when we goto baremetal runners we'll lose our rapid caching abilities which make using docker cheap. Also, we add `tsgo` support to improve devex. The improvement is astounding. ```sh hyperfine -n tsc "bun tsc --incremental false --extendedDiagnostics" -n tsgo "bun tsgo --incremental false --extendedDiagnostics" Benchmark 1: tsc Time (mean ± σ): 5.500 s ± 0.221 s [User: 8.939 s, System: 0.400 s] Range (min … max): 5.196 s … 5.845 s 10 runs Benchmark 2: tsgo Time (mean ± σ): 99.1 ms ± 8.4 ms [User: 392.8 ms, System: 54.1 ms] Range (min … max): 88.3 ms … 116.0 ms 29 runs Summary tsgo ran 55.48 ± 5.22 times faster than tsc ```
72 lines
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2.3 KiB
YAML
72 lines
No EOL
2.3 KiB
YAML
# Build Operator: CI for building the operator binary
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name: DataHave Operator Rust Tests
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on:
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workflow_dispatch:
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workflow_call:
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outputs:
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binary-hash:
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description: "The hash of the operator binary"
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value: ${{ jobs.build-node.outputs.binary-hash }}
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jobs:
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build-node:
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outputs:
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binary-hash: ${{ steps.hash-binary.outputs.datahaven-node-hash }}
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name: Build operator binary
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runs-on: ubuntu-latest
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env:
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RUSTC_WRAPPER: "sccache"
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CARGO_INCREMENTAL: "0"
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CARGO_TERM_COLOR: always
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RUSTFLAGS: "-C linker=clang -C link-arg=-fuse-ld=mold"
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SCCACHE_GHA_ENABLED: "true"
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defaults:
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run:
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working-directory: ./operator
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steps:
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- uses: actions/checkout@v4
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with:
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submodules: recursive
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fetch-depth: 1
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# Re-enable if you get GH issues with the runner being full
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# - uses: ./.github/workflows/actions/cleanup-runner
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- uses: ./.github/workflows/actions/setup-env
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with:
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cache-key: BUILD-RELEASE
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install-deps: true
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- name: Build node binary
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run: |
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cargo build --release --locked --features fast-runtime
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- name: Prepare binary
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run: |
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mkdir -p ./target/ci
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mkdir -p ./target/x86_64-unknown-linux-gnu/release
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cp ./target/release/datahaven-node ./target/ci/datahaven-node
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cp ./target/release/datahaven-node ./target/x86_64-unknown-linux-gnu/release/datahaven-node
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- name: Hash binary
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id: hash-binary
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run: |
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TIMESTAMP=$(date +%s)
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BINARY_PATH=./target/ci/datahaven-node
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HASH=$(echo "$TIMESTAMP" | cat - $BINARY_PATH | sha256sum | awk '{ print $1 }')
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echo "datahaven-node-hash=$HASH" >> $GITHUB_OUTPUT
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echo "Hash of the datahaven-node is: $HASH (with timestamp: $TIMESTAMP)"
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- name: Upload binary to workflow
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uses: actions/upload-artifact@v4
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with:
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name: datahaven-node-${{ steps.hash-binary.outputs.datahaven-node-hash }}
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path: operator/target/x86_64-unknown-linux-gnu/release/datahaven-node
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retention-days: 1
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- name: Build Stats
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run: |
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sccache --show-stats
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echo "Binary size: $(du -h ./target/ci/datahaven-node | cut -f1)" |