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lib/storage: document why job-like and instance-like labels must be stored at mn.Tags[0] and mn.Tags[1]
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2244
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@ -608,6 +608,11 @@ func (db *indexDB) getOrCreateTSID(dst *TSID, metricName []byte, mn *MetricName)
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func generateTSID(dst *TSID, mn *MetricName) {
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dst.MetricGroupID = xxhash.Sum64(mn.MetricGroup)
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// Assume that the job-like metric is put at mn.Tags[0], while instance-like metric is put at mn.Tags[1]
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// This assumption is true because mn.Tags must be sorted with mn.sortTags() before calling generateTSID() function.
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// This allows grouping data blocks for the same (job, instance) close to each other on disk.
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// This reduces disk seeks and disk read IO when data blocks are read from disk for the same job and/or instance.
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// For example, data blocks for time series matching `process_resident_memory_bytes{job="vmstorage"}` are physically adjancent on disk.
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if len(mn.Tags) > 0 {
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dst.JobID = uint32(xxhash.Sum64(mn.Tags[0].Value))
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}
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@ -608,6 +608,12 @@ func unmarshalBytesFast(src []byte) ([]byte, []byte, error) {
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// sortTags sorts tags in mn to canonical form needed for storing in the index.
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//
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// The sortTags tries moving job-like tag to mn.Tags[0], while instance-like tag to mn.Tags[1].
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// See commonTagKeys list for job-like and instance-like tags.
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// This guarantees that indexdb entries for the same (job, instance) are located
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// close to each other on disk. This reduces disk seeks and disk read IO when metrics
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// for a particular job and/or instance are read from the disk.
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//
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// The function also de-duplicates tags with identical keys in mn. The last tag value
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// for duplicate tags wins.
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//
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