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Merge pull request #233 from prometheus/feature/count-by
Implement a COUNT ... BY aggregation operator.
This commit is contained in:
commit
0dc15d28cb
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@ -82,6 +82,7 @@ const (
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AVG
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MIN
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MAX
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COUNT
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)
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// ----------------------------------------------------------------------------
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@ -317,8 +318,13 @@ func labelIntersection(metric1, metric2 model.Metric) model.Metric {
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func (node *VectorAggregation) groupedAggregationsToVector(aggregations map[string]*groupedAggregation, timestamp time.Time) Vector {
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vector := Vector{}
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for _, aggregation := range aggregations {
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if node.aggrType == AVG {
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switch node.aggrType {
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case AVG:
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aggregation.value = aggregation.value / model.SampleValue(aggregation.groupCount)
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case COUNT:
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aggregation.value = model.SampleValue(aggregation.groupCount)
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default:
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// For other aggregations, we already have the right value.
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}
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sample := model.Sample{
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Metric: aggregation.labels,
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@ -351,6 +357,10 @@ func (node *VectorAggregation) Eval(timestamp time.Time, view *viewAdapter) Vect
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if groupedResult.value > sample.Value {
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groupedResult.value = sample.Value
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}
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case COUNT:
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groupedResult.groupCount++
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default:
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panic("Unknown aggregation type")
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}
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} else {
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result[groupingKey] = &groupedAggregation{
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@ -69,11 +69,6 @@ func timeImpl(timestamp time.Time, view *viewAdapter, args []Node) interface{} {
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return model.SampleValue(time.Now().Unix())
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}
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// === count(vector VectorNode) model.SampleValue ===
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func countImpl(timestamp time.Time, view *viewAdapter, args []Node) interface{} {
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return model.SampleValue(len(args[0].(VectorNode).Eval(timestamp, view)))
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}
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// === delta(matrix MatrixNode, isCounter ScalarNode) Vector ===
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func deltaImpl(timestamp time.Time, view *viewAdapter, args []Node) interface{} {
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matrixNode := args[0].(MatrixNode)
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@ -253,12 +248,6 @@ func sampleVectorImpl(timestamp time.Time, view *viewAdapter, args []Node) inter
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}
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var functions = map[string]*Function{
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"count": {
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name: "count",
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argTypes: []ExprType{VECTOR},
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returnType: SCALAR,
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callFn: countImpl,
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},
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"delta": {
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name: "delta",
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argTypes: []ExprType{MATRIX, SCALAR},
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@ -50,10 +50,11 @@ func (opType BinOpType) String() string {
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func (aggrType AggrType) String() string {
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aggrTypeMap := map[AggrType]string{
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SUM: "SUM",
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AVG: "AVG",
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MIN: "MIN",
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MAX: "MAX",
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SUM: "SUM",
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AVG: "AVG",
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MIN: "MIN",
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MAX: "MAX",
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COUNT: "COUNT",
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}
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return aggrTypeMap[aggrType]
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}
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@ -55,10 +55,11 @@ func NewVectorAggregation(aggrTypeStr string, vector ast.Node, groupBy []model.L
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return nil, fmt.Errorf("Operand of %v aggregation must be of vector type", aggrTypeStr)
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}
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var aggrTypes = map[string]ast.AggrType{
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"SUM": ast.SUM,
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"MAX": ast.MAX,
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"MIN": ast.MIN,
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"AVG": ast.AVG,
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"SUM": ast.SUM,
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"MAX": ast.MAX,
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"MIN": ast.MIN,
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"AVG": ast.AVG,
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"COUNT": ast.COUNT,
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}
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aggrType, ok := aggrTypes[aggrTypeStr]
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if !ok {
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@ -44,8 +44,8 @@ WITH|with { return WITH }
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PERMANENT|permanent { return PERMANENT }
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BY|by { return GROUP_OP }
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AVG|SUM|MAX|MIN { yylval.str = yytext; return AGGR_OP }
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avg|sum|max|min { yylval.str = strings.ToUpper(yytext); return AGGR_OP }
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AVG|SUM|MAX|MIN|COUNT { yylval.str = yytext; return AGGR_OP }
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avg|sum|max|min|count { yylval.str = strings.ToUpper(yytext); return AGGR_OP }
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\<|>|AND|OR|and|or { yylval.str = strings.ToUpper(yytext); return CMP_OP }
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==|!=|>=|<= { yylval.str = yytext; return CMP_OP }
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[+\-] { yylval.str = yytext; return ADDITIVE_OP }
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@ -380,7 +380,7 @@ var yyrules []yyrule = []yyrule{{regexp.MustCompile("[^\\n]"), nil, []yystartcon
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return yyactionreturn{GROUP_OP, yyRT_USER_RETURN}
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}
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return yyactionreturn{0, yyRT_FALLTHROUGH}
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}}, {regexp.MustCompile("AVG|SUM|MAX|MIN"), nil, []yystartcondition{}, false, func() (yyar yyactionreturn) {
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}}, {regexp.MustCompile("AVG|SUM|MAX|MIN|COUNT"), nil, []yystartcondition{}, false, func() (yyar yyactionreturn) {
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defer func() {
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if r := recover(); r != nil {
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if r != "yyREJECT" {
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@ -394,7 +394,7 @@ var yyrules []yyrule = []yyrule{{regexp.MustCompile("[^\\n]"), nil, []yystartcon
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return yyactionreturn{AGGR_OP, yyRT_USER_RETURN}
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}
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return yyactionreturn{0, yyRT_FALLTHROUGH}
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}}, {regexp.MustCompile("avg|sum|max|min"), nil, []yystartcondition{}, false, func() (yyar yyactionreturn) {
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}}, {regexp.MustCompile("avg|sum|max|min|count"), nil, []yystartcondition{}, false, func() (yyar yyactionreturn) {
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defer func() {
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if r := recover(); r != nil {
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if r != "yyREJECT" {
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@ -509,7 +509,6 @@ var yyrules []yyrule = []yyrule{{regexp.MustCompile("[^\\n]"), nil, []yystartcon
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yylval.num = model.SampleValue(num)
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return yyactionreturn{NUMBER, yyRT_USER_RETURN}
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}
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return yyactionreturn{0, yyRT_FALLTHROUGH}
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}}, {regexp.MustCompile("\\\"(\\\\[^\\n]|[^\\\\\"])*\\\""), nil, []yystartcondition{}, false, func() (yyar yyactionreturn) {
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defer func() {
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@ -58,7 +58,7 @@ func newTestStorage(t test.Tester) (storage *metric.TieredStorage, closer test.C
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return
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}
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func ExpressionTests(t *testing.T) {
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func TestExpressions(t *testing.T) {
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// Labels in expected output need to be alphabetically sorted.
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var expressionTests = []struct {
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expr string
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@ -81,6 +81,14 @@ func ExpressionTests(t *testing.T) {
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},
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fullRanges: 0,
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intervalRanges: 8,
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}, {
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expr: "COUNT(http_requests) BY (job)",
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output: []string{
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"http_requests{job='api-server'} => 4 @[%v]",
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"http_requests{job='app-server'} => 4 @[%v]",
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},
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fullRanges: 0,
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intervalRanges: 8,
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}, {
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expr: "SUM(http_requests) BY (job, group)",
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output: []string{
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@ -116,10 +124,10 @@ func ExpressionTests(t *testing.T) {
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fullRanges: 0,
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intervalRanges: 8,
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}, {
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expr: "SUM(http_requests) BY (job) - count(http_requests)",
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expr: "SUM(http_requests) BY (job) - COUNT(http_requests) BY (job)",
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output: []string{
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"http_requests{job='api-server'} => 992 @[%v]",
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"http_requests{job='app-server'} => 2592 @[%v]",
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"http_requests{job='api-server'} => 996 @[%v]",
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"http_requests{job='app-server'} => 2596 @[%v]",
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},
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fullRanges: 0,
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intervalRanges: 8,
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