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lib/storage: tune the logic for sorting tag filters according the their exeuction times
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1 changed files with 12 additions and 14 deletions
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@ -2811,23 +2811,21 @@ func (is *indexSearch) getMetricIDsForDateAndFilters(date uint64, tfs *TagFilter
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}
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tfws := make([]tagFilterWithWeight, len(tfs.tfs))
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ct := fasttime.UnixTimestamp()
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hasDurationReset := false
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for i := range tfs.tfs {
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tf := &tfs.tfs[i]
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durationSeconds, lastQueryTimestamp := is.getDurationAndTimestampForDateFilter(date, tf)
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if ct > lastQueryTimestamp+60 {
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// It is time to update filter duration stats.
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if tf.isNegative || tf.isRegexp && len(tf.orSuffixes) == 0 {
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// Negative and regexp filters usually take the most time, so move them to the end of filters
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// in the hope they won't be executed at all.
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if durationSeconds == 0 {
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durationSeconds = 10
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}
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} else {
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// Reset duration stats for relatively fast {key="value"} and {key=~"foo|bar|baz"} filters, so it is re-populated below.
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if durationSeconds < 0.5 {
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durationSeconds = 0
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}
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}
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if durationSeconds == 0 && (tf.isNegative || tf.isRegexp && len(tf.orSuffixes) == 0) {
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// Negative and regexp filters usually take the most time, so move them to the end of filters
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// in the hope they won't be executed at all.
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durationSeconds = 10
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is.storeDurationAndTimestampForDateFilter(date, tf, durationSeconds, 0)
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}
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if !hasDurationReset && ct > lastQueryTimestamp+10*60 && durationSeconds < 0.2 {
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// Reset duration stats for relatively fast filters, so it is re-populated below.
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// Reset duration for a single filter at a time in order to reduce negative impact on query time.
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durationSeconds = 0
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hasDurationReset = true
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}
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tfws[i] = tagFilterWithWeight{
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tf: tf,
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