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