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Faster chunk checking for backend datasets #12162

Faster chunk checking for backend datasets

Faster chunk checking for backend datasets #12162

Workflow file for this run

name: Benchmark
on:
pull_request:
types: [opened, reopened, synchronize, labeled]
workflow_dispatch:
env:
PR_HEAD_LABEL: ${{ github.event.pull_request.head.label }}
jobs:
benchmark:
if: ${{ contains( github.event.pull_request.labels.*.name, 'run-benchmark') && github.event_name == 'pull_request' || github.event_name == 'workflow_dispatch' }}
name: Linux
runs-on: ubuntu-20.04
env:
ASV_DIR: "./asv_bench"
CONDA_ENV_FILE: ci/requirements/environment.yml
steps:
# We need the full repo to avoid this issue
# https://github.com/actions/checkout/issues/23
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up conda environment
uses: mamba-org/setup-micromamba@v2
with:
micromamba-version: "1.5.10-0"
environment-file: ${{env.CONDA_ENV_FILE}}
environment-name: xarray-tests
cache-environment: true
cache-environment-key: "${{runner.os}}-${{runner.arch}}-py${{env.PYTHON_VERSION}}-${{env.TODAY}}-${{hashFiles(env.CONDA_ENV_FILE)}}-benchmark"
# add "build" because of https://github.com/airspeed-velocity/asv/issues/1385
create-args: >-
asv
python-build
mamba<=1.5.10
- name: Run benchmarks
shell: bash -l {0}
id: benchmark
env:
OPENBLAS_NUM_THREADS: 1
MKL_NUM_THREADS: 1
OMP_NUM_THREADS: 1
ASV_FACTOR: 1.5
ASV_SKIP_SLOW: 1
run: |
set -x
# ID this runner
asv machine --yes
echo "Baseline: ${{ github.event.pull_request.base.sha }} (${{ github.event.pull_request.base.label }})"
echo "Contender: ${GITHUB_SHA} ($PR_HEAD_LABEL)"
# Run benchmarks for current commit against base
ASV_OPTIONS="--split --show-stderr --factor $ASV_FACTOR"
asv continuous $ASV_OPTIONS ${{ github.event.pull_request.base.sha }} ${GITHUB_SHA} \
| sed "/Traceback \|failed$\|PERFORMANCE DECREASED/ s/^/::error::/" \
| tee benchmarks.log
# Report and export results for subsequent steps
if grep "Traceback \|failed\|PERFORMANCE DECREASED" benchmarks.log > /dev/null ; then
exit 1
fi
working-directory: ${{ env.ASV_DIR }}
- name: Add instructions to artifact
if: always()
run: |
cp benchmarks/README_CI.md benchmarks.log .asv/results/
working-directory: ${{ env.ASV_DIR }}
- uses: actions/upload-artifact@v4
if: always()
with:
name: asv-benchmark-results-${{ runner.os }}
path: ${{ env.ASV_DIR }}/.asv/results