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Performance Optimization Guidance

This is a reference benchmark process document designed to assist in performance analysis and optimization for client. This document provides as general a testing framework as possible, allowing developers with needs to adjust it according to their specific circumstances across various platform.

Flow

Preparation

Step 1: Setup Dragonfly

Please refer to official doc.

Step 2: Start a file server

Start with docker:

export FILE_SERVER_PORT=12345
docker run -d  --rm -p ${FILE_SERVER_PORT}:80 --name dragonfly-fs dragonflyoss/file-server:latest

Check the file server is ready:

# return success if ready
curl -s -o /dev/null \
     -w "%{http_code}" \
     http://localhost:12345/nano \
| grep -q "200" \
&& echo "Success" \
|| echo "Failed"

Optional:

you can build your own image, take a reference from Dockerfile.

Step 3: Install test tools

Request Generator: oha

brew install oha

Profiling: flamegraph

cargo install flamegraph

Step 4: Setup Dragonfly Peer

Document: Install with binary.

Compile the target binary

cargo build --release --bin dfdaemon

Connect to Dragonfly

# prepare client.yaml by yourself.
./target/release/dfdaemon --config client.yaml -l info --verbose

FlameGraph

Now, let's start benchmark with the following params:

$FILE_SERVER_ADDRESS
$CLIENT_PROXY_ADDRESS

Collect Flamegraph

Capture the flamegraph:

## stop after all requests done.
sudo flamegraph -o my_flamegraph.svg --pid 3442

Make the request:

oha -c 1000 \
    -n 100 \
    --rand-regex-url $FILE_SERVER_ADDRESS/\(nano\|micro\|small\|medium\|large\) \
    -x $CLIENT_PROXY_ADDRESS

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