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perf(mem): reduced memory usage in metrics and task by string interning and deduplicating fields

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yusing
2025-10-15 23:51:47 +08:00
parent ddf78aacba
commit 2b4c39a79e
7 changed files with 79 additions and 71 deletions
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12
internal/metrics/systeminfo/system_info.go
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@@ -167,7 +167,7 @@ func (s *SystemInfo) collectDisksInfo(ctx context.Context, lastResult *SystemInf
if lastUsage, ok := lastResult.DisksIO[name]; ok {
disk.ReadSpeed = float32(disk.ReadBytes-lastUsage.ReadBytes) / float32(interval)
disk.WriteSpeed = float32(disk.WriteBytes-lastUsage.WriteBytes) / float32(interval)
disk.Iops = diff(disk.ReadCount+disk.WriteCount, lastUsage.ReadCount+lastUsage.WriteCount) / uint64(interval) //nolint:gosec
disk.Iops = diff(disk.IOCount, lastUsage.IOCount) / uint64(interval) //nolint:gosec
}
}
}
@@ -179,12 +179,12 @@ func (s *SystemInfo) collectDisksInfo(ctx context.Context, lastResult *SystemInf
s.Disks = make(map[string]disk.UsageStat, len(partitions))
errs := gperr.NewBuilder("failed to get disks info")
for _, partition := range partitions {
diskInfo, err := disk.UsageWithContext(ctx, partition.Mountpoint)
diskInfo, err := disk.UsageWithContext(ctx, partition.Mountpoint.Value())
if err != nil {
errs.Add(err)
continue
}
s.Disks[partition.Device] = diskInfo
s.Disks[partition.Device.Value()] = diskInfo
}
if errs.HasError() {
@@ -247,10 +247,10 @@ func aggregate(entries []*SystemInfo, query url.Values) (total int, result Aggre
}
case SystemInfoAggregateModeMemoryUsagePercent:
for _, entry := range entries {
if entry.Memory.UsedPercent > 0 {
if percent := entry.Memory.UsedPercent(); percent > 0 {
aggregated.Entries = append(aggregated.Entries, map[string]any{
"timestamp": entry.Timestamp,
"memory_usage_percent": entry.Memory.UsedPercent,
"memory_usage_percent": percent,
})
}
}
@@ -331,7 +331,7 @@ func aggregate(entries []*SystemInfo, query url.Values) (total int, result Aggre
}
m := make(map[string]any, len(entry.Sensors)+1)
for _, sensor := range entry.Sensors {
m[sensor.SensorKey] = sensor.Temperature
m[sensor.SensorKey.Value()] = sensor.Temperature
}
m["timestamp"] = entry.Timestamp
aggregated.Entries = append(aggregated.Entries, m)