Workaround assumption that layers are unique in zstdchunk converter #3500

	name: Benchmark
	on:
	push:
	branches:
	- main
	pull_request:

	env:
	DOCKER_BUILDKIT: 1

	jobs:
	hello-bench:
	runs-on: ubuntu-24.04
	name: HelloBench
	env:
	BENCHMARK_LOG_DIR: ${{ github.workspace }}/log/
	BENCHMARK_RESULT_DIR: ${{ github.workspace }}/benchmark/
	BENCHMARK_REGISTRY: ghcr.io
	BENCHMARK_USER: stargz-containers
	BENCHMARK_TARGETS: python:3.10 gcc:11.2.0 postgres:14.2 tomcat:10.1.0-jdk17-openjdk-bullseye
	BENCHMARK_SAMPLES_NUM: 5
	BENCHMARK_PERCENTILE: 95
	BENCHMARK_PERCENTILES_GRANULARITY: 25
	strategy:
	fail-fast: false
	max-parallel: 1
	matrix:
	runtime: ["podman", "containerd"]
	steps:
	- name: Install tools
	run: \|
	sudo apt-get update && \
	sudo apt-get install -y gnuplot python3-numpy
	- uses: actions/checkout@v4
	- name: Prepare directories
	run: mkdir "${BENCHMARK_RESULT_DIR}" "${BENCHMARK_LOG_DIR}"
	- name: Get instance information
	run: \|
	curl -H "Metadata:true" "http://169.254.169.254/metadata/instance?api-version=2019-11-01" \| \
	jq '{ location : .compute.location, vmSize : .compute.vmSize }' \| \
	tee ${{ env.BENCHMARK_RESULT_DIR }}/instance.json
	- name: Run benchmark
	env:
	BENCHMARK_RUNTIME_MODE: ${{ matrix.runtime }}
	run: make benchmark
	- uses: actions/upload-artifact@v4
	if: ${{ always() }}
	with:
	name: benchmarking-result-${{ matrix.runtime }}
	path: ${{ env.BENCHMARK_RESULT_DIR }}

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