minio/cmd/metrics-v3-cluster-usage.go

188 lines
6.6 KiB
Go
Raw Normal View History

// Copyright (c) 2015-2024 MinIO, Inc.
//
// This file is part of MinIO Object Storage stack
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program. If not, see <http://www.gnu.org/licenses/>.
package cmd
import (
"context"
"time"
)
const (
usageSinceLastUpdateSeconds = "since_last_update_seconds"
usageTotalBytes = "total_bytes"
usageObjectsCount = "count"
usageVersionsCount = "versions_count"
usageDeleteMarkersCount = "delete_markers_count"
usageBucketsCount = "buckets_count"
usageSizeDistribution = "size_distribution"
usageVersionCountDistribution = "version_count_distribution"
)
var (
usageSinceLastUpdateSecondsMD = NewGaugeMD(usageSinceLastUpdateSeconds,
"Time since last update of usage metrics in seconds")
usageTotalBytesMD = NewGaugeMD(usageTotalBytes,
"Total cluster usage in bytes")
usageObjectsCountMD = NewGaugeMD(usageObjectsCount,
"Total cluster objects count")
usageVersionsCountMD = NewGaugeMD(usageVersionsCount,
"Total cluster object versions (including delete markers) count")
usageDeleteMarkersCountMD = NewGaugeMD(usageDeleteMarkersCount,
"Total cluster delete markers count")
usageBucketsCountMD = NewGaugeMD(usageBucketsCount,
"Total cluster buckets count")
usageObjectsDistributionMD = NewGaugeMD(usageSizeDistribution,
"Cluster object size distribution", "range")
usageVersionsDistributionMD = NewGaugeMD(usageVersionCountDistribution,
"Cluster object version count distribution", "range")
)
// loadClusterUsageObjectMetrics - reads cluster usage metrics.
//
// This is a `MetricsLoaderFn`.
func loadClusterUsageObjectMetrics(ctx context.Context, m MetricValues, c *metricsCache) error {
dataUsageInfo, err := c.dataUsageInfo.Get()
if err != nil {
metricsLogIf(ctx, err)
return nil
}
// data usage has not captured any data yet.
if dataUsageInfo.LastUpdate.IsZero() {
return nil
}
var (
clusterSize uint64
clusterBuckets uint64
clusterObjectsCount uint64
clusterVersionsCount uint64
clusterDeleteMarkersCount uint64
)
clusterObjectSizesHistogram := map[string]uint64{}
clusterVersionsHistogram := map[string]uint64{}
for _, usage := range dataUsageInfo.BucketsUsage {
clusterBuckets++
clusterSize += usage.Size
clusterObjectsCount += usage.ObjectsCount
clusterVersionsCount += usage.VersionsCount
clusterDeleteMarkersCount += usage.DeleteMarkersCount
for k, v := range usage.ObjectSizesHistogram {
clusterObjectSizesHistogram[k] += v
}
for k, v := range usage.ObjectVersionsHistogram {
clusterVersionsHistogram[k] += v
}
}
m.Set(usageSinceLastUpdateSeconds, time.Since(dataUsageInfo.LastUpdate).Seconds())
m.Set(usageTotalBytes, float64(clusterSize))
m.Set(usageObjectsCount, float64(clusterObjectsCount))
m.Set(usageVersionsCount, float64(clusterVersionsCount))
m.Set(usageDeleteMarkersCount, float64(clusterDeleteMarkersCount))
m.Set(usageBucketsCount, float64(clusterBuckets))
for k, v := range clusterObjectSizesHistogram {
m.Set(usageSizeDistribution, float64(v), "range", k)
}
for k, v := range clusterVersionsHistogram {
m.Set(usageVersionCountDistribution, float64(v), "range", k)
}
return nil
}
const (
usageBucketQuotaTotalBytes = "quota_total_bytes"
usageBucketTotalBytes = "total_bytes"
usageBucketObjectsCount = "objects_count"
usageBucketVersionsCount = "versions_count"
usageBucketDeleteMarkersCount = "delete_markers_count"
usageBucketObjectSizeDistribution = "object_size_distribution"
usageBucketObjectVersionCountDistribution = "object_version_count_distribution"
)
var (
usageBucketTotalBytesMD = NewGaugeMD(usageBucketTotalBytes,
"Total bucket size in bytes", "bucket")
usageBucketObjectsTotalMD = NewGaugeMD(usageBucketObjectsCount,
"Total objects count in bucket", "bucket")
usageBucketVersionsCountMD = NewGaugeMD(usageBucketVersionsCount,
"Total object versions (including delete markers) count in bucket", "bucket")
usageBucketDeleteMarkersCountMD = NewGaugeMD(usageBucketDeleteMarkersCount,
"Total delete markers count in bucket", "bucket")
usageBucketQuotaTotalBytesMD = NewGaugeMD(usageBucketQuotaTotalBytes,
"Total bucket quota in bytes", "bucket")
usageBucketObjectSizeDistributionMD = NewGaugeMD(usageBucketObjectSizeDistribution,
"Bucket object size distribution", "range", "bucket")
usageBucketObjectVersionCountDistributionMD = NewGaugeMD(
usageBucketObjectVersionCountDistribution,
"Bucket object version count distribution", "range", "bucket")
)
// loadClusterUsageBucketMetrics - `MetricsLoaderFn` to load bucket usage metrics.
func loadClusterUsageBucketMetrics(ctx context.Context, m MetricValues, c *metricsCache, buckets []string) error {
dataUsageInfo, err := c.dataUsageInfo.Get()
if err != nil {
metricsLogIf(ctx, err)
return nil
}
// data usage has not been captured yet.
if dataUsageInfo.LastUpdate.IsZero() {
return nil
}
m.Set(usageSinceLastUpdateSeconds, float64(time.Since(dataUsageInfo.LastUpdate)))
for _, bucket := range buckets {
usage, ok := dataUsageInfo.BucketsUsage[bucket]
if !ok {
continue
}
quota, err := globalBucketQuotaSys.Get(ctx, bucket)
if err != nil {
// Log and continue if we are unable to retrieve metrics for this
// bucket.
metricsLogIf(ctx, err)
continue
}
m.Set(usageBucketTotalBytes, float64(usage.Size), "bucket", bucket)
m.Set(usageBucketObjectsCount, float64(usage.ObjectsCount), "bucket", bucket)
m.Set(usageBucketVersionsCount, float64(usage.VersionsCount), "bucket", bucket)
m.Set(usageBucketDeleteMarkersCount, float64(usage.DeleteMarkersCount), "bucket", bucket)
if quota != nil && quota.Quota > 0 {
m.Set(usageBucketQuotaTotalBytes, float64(quota.Quota), "bucket", bucket)
}
for k, v := range usage.ObjectSizesHistogram {
m.Set(usageBucketObjectSizeDistribution, float64(v), "range", k, "bucket", bucket)
}
for k, v := range usage.ObjectVersionsHistogram {
m.Set(usageBucketObjectVersionCountDistribution, float64(v), "range", k, "bucket", bucket)
}
}
return nil
}