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benchmark.yml
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name: Benchmark
on:
pull_request:
paths:
- polars/**
- Cargo.toml
- py-polars/tests/benchmark/**
- .github/workflows/benchmark.yml
push:
branches:
- main
paths:
- polars/**
- Cargo.toml
- py-polars/tests/benchmark/**
- .github/workflows/benchmark.yml
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
env:
SCCACHE_GHA_ENABLED: 'true'
RUSTC_WRAPPER: sccache
jobs:
main:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.11'
- name: Create virtual environment
working-directory: py-polars
run: |
python -m venv .venv
echo "$GITHUB_WORKSPACE/py-polars/.venv/bin" >> $GITHUB_PATH
- name: Install Python dependencies
working-directory: py-polars
run: pip install -r requirements-dev.txt
- name: Load benchmark data from cache
id: cache-data
uses: actions/cache/restore@v3
with:
path: py-polars/tests/benchmark/G1_1e7_1e2_5_0.csv
key: benchmark-data
- name: Set up R
if: steps.cache-data.outputs.cache-hit != 'true'
uses: r-lib/actions/setup-r@v2
with:
r-version: '3.5.3'
- name: Generate data
if: steps.cache-data.outputs.cache-hit != 'true'
working-directory: py-polars/tests/benchmark
run: |
Rscript -e 'install.packages("data.table", repos="https://cloud.r-project.org")'
Rscript groupby-datagen.R 1e7 1e2 5 0
- name: Save benchmark data in cache
if: github.ref_name == 'main'
uses: actions/cache/save@v3
with:
path: py-polars/tests/benchmark/G1_1e7_1e2_5_0.csv
key: ${{ steps.cache-data.outputs.cache-primary-key }}
- name: Set up Rust
run: rustup show
- name: Cache Rust
uses: Swatinem/rust-cache@v2
with:
workspaces: py-polars
save-if: ${{ github.ref_name == 'main' }}
- name: Run sccache-cache
uses: mozilla-actions/[email protected]
- name: Install Polars release build
env:
RUSTFLAGS: -C embed-bitcode -D warnings
working-directory: py-polars
run: |
source activate
maturin develop --release -- -C codegen-units=8 -C lto=thin -C target-cpu=native
- name: Run H2O AI database benchmark - on strings
working-directory: py-polars/tests/benchmark
run: python run_h2oai_benchmark.py on_strings
- name: Run H2O AI database benchmark - on categoricals
working-directory: py-polars/tests/benchmark
run: python run_h2oai_benchmark.py
- name: Run various benchmark tests
working-directory: py-polars
run: pytest -m benchmark --durations 0 -v