Files
aiops/backend/controller/middleware_monitor_redis.go
T
2026-07-09 14:16:56 +08:00

102 lines
2.9 KiB
Go

package controller
import (
"context"
"fmt"
"github.com/redis/go-redis/v9"
)
// collectRedis 采集 Redis 指标,支持单机与集群模式 // Logan.Li
func (h *MiddlewareMonitorHandler) collectRedis(ctx context.Context, addr, password, mode string) (map[string]float64, error) {
if mode == "" {
mode = "standalone"
}
var (
info string
dbSize int64
clusterInfo string
pingErr error
)
switch mode {
case "cluster":
rdb := redis.NewClusterClient(&redis.ClusterOptions{
Addrs: []string{addr},
Password: password,
})
defer rdb.Close()
pingErr = rdb.Ping(ctx).Err()
if pingErr == nil {
info, _ = rdb.Info(ctx).Result()
dbSize, _ = rdb.DBSize(ctx).Result()
clusterInfo, _ = rdb.ClusterInfo(ctx).Result()
}
default:
rdb := redis.NewClient(&redis.Options{
Addr: addr,
Password: password,
DB: 0,
})
defer rdb.Close()
pingErr = rdb.Ping(ctx).Err()
if pingErr == nil {
info, _ = rdb.Info(ctx).Result()
dbSize, _ = rdb.DBSize(ctx).Result()
}
}
if pingErr != nil {
return nil, fmt.Errorf("Redis 连接失败: %v", pingErr)
}
return buildRedisMetrics(info, dbSize, clusterInfo, mode), nil
}
// buildRedisMetrics 从 INFO 与 DBSIZE 构建指标 map // Logan.Li
func buildRedisMetrics(info string, dbSize int64, clusterInfo, mode string) map[string]float64 {
result := make(map[string]float64)
if info != "" {
infoMap := parseRedisInfo(info)
result["redis_connected_clients"] = parseFloat(infoMap["connected_clients"])
result["redis_used_memory"] = parseFloat(infoMap["used_memory"])
result["redis_used_memory_peak"] = parseFloat(infoMap["used_memory_peak"])
result["redis_total_commands_processed"] = parseFloat(infoMap["total_commands_processed"])
result["redis_uptime_in_seconds"] = parseFloat(infoMap["uptime_in_seconds"])
result["redis_keyspace_hits"] = parseFloat(infoMap["keyspace_hits"])
result["redis_keyspace_misses"] = parseFloat(infoMap["keyspace_misses"])
result["redis_evicted_keys"] = parseFloat(infoMap["evicted_keys"])
result["redis_blocked_clients"] = parseFloat(infoMap["blocked_clients"])
result["redis_maxmemory"] = parseFloat(infoMap["maxmemory"])
result["redis_mem_fragmentation_ratio"] = parseFloat(infoMap["mem_fragmentation_ratio"])
hits := result["redis_keyspace_hits"]
misses := result["redis_keyspace_misses"]
if hits+misses > 0 {
result["redis_hit_rate"] = hits / (hits + misses)
}
uptime := result["redis_uptime_in_seconds"]
cmds := result["redis_total_commands_processed"]
if uptime > 0 {
result["redis_qps"] = cmds / uptime
}
}
if dbSize >= 0 {
result["redis_db_size"] = float64(dbSize)
}
if mode == "cluster" && clusterInfo != "" {
ci := parseRedisInfo(clusterInfo)
result["redis_cluster_known_nodes"] = parseFloat(ci["cluster_known_nodes"])
result["redis_cluster_size"] = parseFloat(ci["cluster_size"])
}
return result
}