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app/vmselect/promql: properly detect aggregate topk*
and bottomk*
aggregate functions in order to disable duplicate sorting
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1189
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@ -618,7 +618,9 @@ func newAggrFuncTopK(isReverse bool) aggrFunc {
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})
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})
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fillNaNsAtIdx(n, ks[n], tss)
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fillNaNsAtIdx(n, ks[n], tss)
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}
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}
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return removeNaNs(tss)
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tss = removeNaNs(tss)
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reverseSeries(tss)
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return tss
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}
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}
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return aggrFuncExt(afe, args[1], &afa.ae.Modifier, afa.ae.Limit, true)
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return aggrFuncExt(afe, args[1], &afa.ae.Modifier, afa.ae.Limit, true)
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}
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}
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@ -683,7 +685,17 @@ func getRangeTopKTimeseries(tss []*timeseries, modifier *metricsql.ModifierExpr,
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if remainingSumTS != nil {
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if remainingSumTS != nil {
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tss = append(tss, remainingSumTS)
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tss = append(tss, remainingSumTS)
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}
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}
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return removeNaNs(tss)
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tss = removeNaNs(tss)
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reverseSeries(tss)
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return tss
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}
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func reverseSeries(tss []*timeseries) {
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j := len(tss)
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for i := 0; i < len(tss)/2; i++ {
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j--
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tss[i], tss[j] = tss[j], tss[i]
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}
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}
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}
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func getRemainingSumTimeseries(tss []*timeseries, modifier *metricsql.ModifierExpr, ks []float64, remainingSumTagName string) *timeseries {
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func getRemainingSumTimeseries(tss []*timeseries, modifier *metricsql.ModifierExpr, ks []float64, remainingSumTagName string) *timeseries {
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@ -86,21 +86,22 @@ func Exec(ec *EvalConfig, q string, isFirstPointOnly bool) ([]netstorage.Result,
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}
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}
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func maySortResults(e metricsql.Expr, tss []*timeseries) bool {
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func maySortResults(e metricsql.Expr, tss []*timeseries) bool {
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fe, ok := e.(*metricsql.FuncExpr)
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switch v := e.(type) {
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if !ok {
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case *metricsql.FuncExpr:
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return true
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switch strings.ToLower(v.Name) {
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}
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switch fe.Name {
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case "sort", "sort_desc",
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case "sort", "sort_desc",
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"sort_by_label", "sort_by_label_desc",
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"sort_by_label", "sort_by_label_desc":
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"topk", "bottomk",
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"topk_max", "topk_min", "topk_avg", "topk_median",
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"bottomk_max", "bottomk_min", "bottomk_avg", "bottomk_median",
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"outliersk":
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return false
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return false
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default:
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return true
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}
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}
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case *metricsql.AggrFuncExpr:
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switch strings.ToLower(v.Name) {
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case "topk", "bottomk", "outliersk",
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"topk_max", "topk_min", "topk_avg", "topk_median",
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"bottomk_max", "bottomk_min", "bottomk_avg", "bottomk_median":
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return false
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}
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}
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return true
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}
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}
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func timeseriesToResult(tss []*timeseries, maySort bool) ([]netstorage.Result, error) {
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func timeseriesToResult(tss []*timeseries, maySort bool) ([]netstorage.Result, error) {
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