首先

• 2022年に発表されたインメモリキャッシュ製品のDragonflyを立ち上げてみます。

箱から出してすぐに動作するGrafana+Prometheusで監視環境も構築します。
redisクライアント(golang)から呼び出して動作確認します。

2. “Dragonfly”是什么意思？ (What does “Dragonfly” mean?)

这是在2022年发布的一款内存缓存产品，旨在成为Redis的替代品。

• Redisよりも最大25倍高速(公称)

LRFU evictionキャッシュ
io_uringを利用した非同期IO
シェアードナッシングアーキテクチャ

Redis Exporter無しでメトリクスを監視

3. 环境建设

Grafana和Prometheus设置。

公式リポジトリからgrafana,prometheus設定を取得する

创建compose.yml

services:
  dragonfly:
    image: 'docker.dragonflydb.io/dragonflydb/dragonfly'
    container_name: dragonfly
    restart: unless-stopped
    ulimits:
      memlock:
        soft: -1
        hard: -1
    ports:
      - "6579:6379"
    volumes:
      - dragonfly_data:/data

  prometheus:
    image: prom/prometheus:v2.39.1
    container_name: prometheus_df
    restart: unless-stopped
    command:
      - '--config.file=/etc/prometheus/prometheus.yaml'
    expose:
      - 9090
    configs:
      - source: prometheus
        target: /etc/prometheus/prometheus.yaml
        mode: 440
    volumes:
      - prometheus_data:/prometheus

  grafana:
    image: grafana/grafana:9.2.1
    container_name: grafana_df
    restart: unless-stopped
    environment:
      - GF_SECURITY_ADMIN_USER=admin
      - GF_SECURITY_ADMIN_PASSWORD=Grafana
      - GF_USERS_DEFAULT_THEME=light
    ports:
      - 9000:3000
    configs:
      - source: grafana-datasource
        target: /etc/grafana/provisioning/datasources/datasource.yaml
        mode: 440
      - source: grafana-dashboard-json
        target: /etc/grafana/provisioning/dashboards/dashboard.json
        mode: 440
      - source: grafana-dashboard-yaml
        target: /etc/grafana/provisioning/dashboards/dashboard.yaml
        mode: 440
    volumes:
      - grafana_data:/var/lib/grafana

configs:
  prometheus:
    # https://github.com/dragonflydb/dragonfly/blob/main/tools/local/monitoring/prometheus/prometheus.yml
    file: ./prometheus/prometheus.yml
  grafana-datasource:
    # https://github.com/dragonflydb/dragonfly/blob/main/tools/local/monitoring/grafana/provisioning/datasources/datasource.yml
    file: ./grafana/datasource.yml
  grafana-dashboard-json:
    # https://github.com/dragonflydb/dragonfly/blob/main/tools/local/monitoring/grafana/provisioning/dashboards/dashboard.json
    file: ./grafana/dashboard.json
  grafana-dashboard-yaml:
    # https://github.com/dragonflydb/dragonfly/blob/main/tools/local/monitoring/grafana/provisioning/dashboards/dashboard.yml
    file: ./grafana/dashboard.yml

volumes:
  dragonfly_data:
  prometheus_data:
  grafana_data:

执行

docker compose up -d

4. 进行考试

package main

import (
	"context"
	"testing"

	"github.com/go-redis/redis/v9"
	"github.com/stretchr/testify/assert"
)

func TestExampleClient(t *testing.T) {

	ctx := context.Background()

	tests := []struct {
		name         string
		key          string
		expected     string
		expected_err error
	}{
		{
			name:         "test",
			key:          "key",
			expected:     "value",
			expected_err: redis.Nil,
		},
	}
	for _, tt := range tests {
		t.Run(tt.name, func(ti *testing.T) {

			rdb := redis.NewClient(&redis.Options{
				Addr:     "localhost:6379",
				Password: "", // no password set
				DB:       0,  // use default DB
			})

			for i := 0; i < 10_000; i++ {
				errB := rdb.Set(ctx, "key", "value", 0).Err()
				assert.NoError(ti, errB, "they should NoError")

				val, err := rdb.Get(ctx, tt.key).Result()
				assert.Equal(ti, val, tt.expected, "they should be equal")
				assert.NoError(ti, err, "they should be ok")

				val, err = rdb.Get(ctx, "will-empty").Result()
				assert.Empty(ti, val, "they should be equal")
				assert.Equal(ti, err, tt.expected_err, "they should be redis.Nil")
				assert.EqualError(ti, err, tt.expected_err.Error(), "they should be redis.Nil")
			}
		})
	}
}

结果

• テストを通過できた。

性能監視できた。

>go test -timeout 30s -run ^TestExampleClient$ github.com/my/repo
ok  	github.com/my/repo	16.905s

请提供参考资料