app/vmselect/promql: add present_over_time(m[d]) function, which will be available starting from Prometheus 2.29.0

See https://github.com/prometheus/prometheus/releases/tag/v2.29.0-rc.0 and https://github.com/prometheus/prometheus/pull/9097

app/vmselect/promql/exec_test.go

@@ -698,6 +698,39 @@ func TestExecSuccess(t *testing.T) {
 		resultExpected := []netstorage.Result{}
 		f(q, resultExpected)
 	})
+	t.Run("present_over_time(time())", func(t *testing.T) {
+		t.Parallel()
+		q := `present_over_time(time())`
+		r := netstorage.Result{
+			MetricName: metricNameExpected,
+			Values:     []float64{1, 1, 1, 1, 1, 1},
+			Timestamps: timestampsExpected,
+		}
+		resultExpected := []netstorage.Result{r}
+		f(q, resultExpected)
+	})
+	t.Run("present_over_time(time()[100:300])", func(t *testing.T) {
+		t.Parallel()
+		q := `present_over_time(time()[100:300])`
+		r := netstorage.Result{
+			MetricName: metricNameExpected,
+			Values:     []float64{nan, 1, nan, nan, 1, nan},
+			Timestamps: timestampsExpected,
+		}
+		resultExpected := []netstorage.Result{r}
+		f(q, resultExpected)
+	})
+	t.Run("present_over_time(time()<10m)", func(t *testing.T) {
+		t.Parallel()
+		q := `present_over_time(time()<1600)`
+		r := netstorage.Result{
+			MetricName: metricNameExpected,
+			Values:     []float64{1, 1, 1, nan, nan, nan},
+			Timestamps: timestampsExpected,
+		}
+		resultExpected := []netstorage.Result{r}
+		f(q, resultExpected)
+	})
 	t.Run("absent(123)", func(t *testing.T) {
 		t.Parallel()
 		q := `absent(123)`

app/vmselect/promql/rollup.go

@@ -42,6 +42,7 @@ var rollupFuncs = map[string]newRollupFunc{
 	"stddev_over_time":   newRollupFuncOneArg(rollupStddev),
 	"stdvar_over_time":   newRollupFuncOneArg(rollupStdvar),
 	"absent_over_time":   newRollupFuncOneArg(rollupAbsent),
+	"present_over_time":  newRollupFuncOneArg(rollupPresent),
 
 	// Additional rollup funcs.
 	"default_rollup":        newRollupFuncOneArg(rollupDefault), // default rollup func
@@ -114,6 +115,7 @@ var rollupAggrFuncs = map[string]rollupFunc{
 	"stddev_over_time":  rollupStddev,
 	"stdvar_over_time":  rollupStdvar,
 	"absent_over_time":  rollupAbsent,
+	"present_over_time": rollupPresent,
 
 	// Additional rollup funcs.
 	"range_over_time":     rollupRange,
@@ -157,6 +159,7 @@ var rollupFuncsCannotAdjustWindow = map[string]bool{
 	"stddev_over_time":    true,
 	"stdvar_over_time":    true,
 	"absent_over_time":    true,
+	"present_over_time":   true,
 	"sum2_over_time":      true,
 	"geomean_over_time":   true,
 	"distinct_over_time":  true,
@@ -1284,6 +1287,15 @@ func rollupAbsent(rfa *rollupFuncArg) float64 {
 	return nan
 }
 
+func rollupPresent(rfa *rollupFuncArg) float64 {
+	// There is no need in handling NaNs here, since they must be cleaned up
+	// before calling rollup funcs.
+	if len(rfa.values) > 0 {
+		return 1
+	}
+	return nan
+}
+
 func rollupCount(rfa *rollupFuncArg) float64 {
 	// There is no need in handling NaNs here, since they must be cleaned up
 	// before calling rollup funcs.

docs/CHANGELOG.md

@@ -6,6 +6,7 @@ sort: 15
 
 ## tip
 
+* FEATURE: add `present_over_time(m[d])` function, which returns 1 if `m` has a least a single sample over the previous duration `d`. This function has been added also to [Prometheus 2.29](https://github.com/prometheus/prometheus/releases/tag/v2.29.0-rc.0).
 * FEATURE: add `-search.maxSamplesPerSeries` command-line flag for limiting the number of raw samples a single query can process per each time series. This option can protect from out of memory errors when a query processes tens of millions of raw samples per series. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1067).
 * FEATURE: add `-search.maxSamplesPerQuery` command-line flag for limiting the number of raw samples a single query can process across all the time series. This option can protect from heavy queries, which select too big number of raw samples. Thanks to @jiangxinlingdu for [the initial pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1478).
 * FEATURE: improve performance for queries that process big number of time series and/or samples on systems with big number of CPU cores.

go.mod

@@ -9,7 +9,7 @@ require (
 	// like https://github.com/valyala/fasthttp/commit/996610f021ff45fdc98c2ce7884d5fa4e7f9199b
 	github.com/VictoriaMetrics/fasthttp v1.0.16
 	github.com/VictoriaMetrics/metrics v1.17.3
-	github.com/VictoriaMetrics/metricsql v0.16.0
+	github.com/VictoriaMetrics/metricsql v0.17.0
 	github.com/VividCortex/ewma v1.2.0 // indirect
 	github.com/aws/aws-sdk-go v1.40.7
 	github.com/cespare/xxhash/v2 v2.1.1

go.sum

@@ -107,8 +107,8 @@ github.com/VictoriaMetrics/fasthttp v1.0.16/go.mod h1:s9o5H4T58Kt4CTrdyJp4RorBKC
 github.com/VictoriaMetrics/metrics v1.12.2/go.mod h1:Z1tSfPfngDn12bTfZSCqArT3OPY3u88J12hSoOhuiRE=
 github.com/VictoriaMetrics/metrics v1.17.3 h1:QPUakR6JRy8BhL2C2kOgYKLuoPDwtJQ+7iKIZSjt1A4=
 github.com/VictoriaMetrics/metrics v1.17.3/go.mod h1:Z1tSfPfngDn12bTfZSCqArT3OPY3u88J12hSoOhuiRE=
-github.com/VictoriaMetrics/metricsql v0.16.0 h1:YzrMnGUs6Y6f5LxsH8eSAoik98aEzlc1TiYgOONgr3Q=
+github.com/VictoriaMetrics/metricsql v0.17.0 h1:OdOkx5GK2p1+EnHn/+zpLWW6ze96L1AmMV5X1HOzyfY=
-github.com/VictoriaMetrics/metricsql v0.16.0/go.mod h1:ylO7YITho/Iw6P71oEaGyHbO94bGoGtzWfLGqFhMIg8=
+github.com/VictoriaMetrics/metricsql v0.17.0/go.mod h1:ylO7YITho/Iw6P71oEaGyHbO94bGoGtzWfLGqFhMIg8=
 github.com/VividCortex/ewma v1.1.1/go.mod h1:2Tkkvm3sRDVXaiyucHiACn4cqf7DpdyLvmxzcbUokwA=
 github.com/VividCortex/ewma v1.2.0 h1:f58SaIzcDXrSy3kWaHNvuJgJ3Nmz59Zji6XoJR/q1ow=
 github.com/VividCortex/ewma v1.2.0/go.mod h1:nz4BbCtbLyFDeC9SUHbtcT5644juEuWfUAUnGx7j5l4=

vendor/github.com/VictoriaMetrics/metricsql/rollup.go

@@ -27,6 +27,7 @@ var rollupFuncs = map[string]bool{
 	"stddev_over_time":   true,
 	"stdvar_over_time":   true,
 	"absent_over_time":   true,
+	"present_over_time":  true,
 
 	// Additional rollup funcs.
 	"default_rollup":        true,

vendor/modules.txt

@@ -21,7 +21,7 @@ github.com/VictoriaMetrics/fasthttp/stackless
 # github.com/VictoriaMetrics/metrics v1.17.3
 ## explicit
 github.com/VictoriaMetrics/metrics
-# github.com/VictoriaMetrics/metricsql v0.16.0
+# github.com/VictoriaMetrics/metricsql v0.17.0
 ## explicit
 github.com/VictoriaMetrics/metricsql
 github.com/VictoriaMetrics/metricsql/binaryop