mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-11-21 14:44:00 +00:00
363 lines
10 KiB
Go
363 lines
10 KiB
Go
package promql
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import (
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"fmt"
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"math"
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"strings"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/metricsql"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/metricsql/binaryop"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
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)
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var binaryOpFuncs = map[string]binaryOpFunc{
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"+": newBinaryOpArithFunc(binaryop.Plus),
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"-": newBinaryOpArithFunc(binaryop.Minus),
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"*": newBinaryOpArithFunc(binaryop.Mul),
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"/": newBinaryOpArithFunc(binaryop.Div),
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"%": newBinaryOpArithFunc(binaryop.Mod),
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"^": newBinaryOpArithFunc(binaryop.Pow),
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// cmp ops
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"==": newBinaryOpCmpFunc(binaryop.Eq),
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"!=": newBinaryOpCmpFunc(binaryop.Neq),
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">": newBinaryOpCmpFunc(binaryop.Gt),
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"<": newBinaryOpCmpFunc(binaryop.Lt),
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">=": newBinaryOpCmpFunc(binaryop.Gte),
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"<=": newBinaryOpCmpFunc(binaryop.Lte),
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// logical set ops
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"and": binaryOpAnd,
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"or": binaryOpOr,
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"unless": binaryOpUnless,
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// New op
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"if": newBinaryOpArithFunc(binaryop.If),
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"ifnot": newBinaryOpArithFunc(binaryop.Ifnot),
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"default": newBinaryOpArithFunc(binaryop.Default),
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}
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func getBinaryOpFunc(op string) binaryOpFunc {
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op = strings.ToLower(op)
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return binaryOpFuncs[op]
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}
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type binaryOpFuncArg struct {
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be *metricsql.BinaryOpExpr
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left []*timeseries
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right []*timeseries
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}
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type binaryOpFunc func(bfa *binaryOpFuncArg) ([]*timeseries, error)
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func newBinaryOpCmpFunc(cf func(left, right float64) bool) binaryOpFunc {
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cfe := func(left, right float64, isBool bool) float64 {
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if !isBool {
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if cf(left, right) {
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return left
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}
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return nan
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}
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if cf(left, right) {
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return 1
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}
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return 0
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}
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return newBinaryOpFunc(cfe)
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}
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func newBinaryOpArithFunc(af func(left, right float64) float64) binaryOpFunc {
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afe := func(left, right float64, isBool bool) float64 {
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return af(left, right)
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}
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return newBinaryOpFunc(afe)
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}
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func newBinaryOpFunc(bf func(left, right float64, isBool bool) float64) binaryOpFunc {
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return func(bfa *binaryOpFuncArg) ([]*timeseries, error) {
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isBool := bfa.be.Bool
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left, right, dst, err := adjustBinaryOpTags(bfa.be, bfa.left, bfa.right)
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if err != nil {
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return nil, err
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}
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if len(left) != len(right) || len(left) != len(dst) {
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logger.Panicf("BUG: len(left) must match len(right) and len(dst); got %d vs %d vs %d", len(left), len(right), len(dst))
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}
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for i, tsLeft := range left {
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leftValues := tsLeft.Values
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rightValues := right[i].Values
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dstValues := dst[i].Values
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if len(leftValues) != len(rightValues) || len(leftValues) != len(dstValues) {
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logger.Panicf("BUG: len(leftVaues) must match len(rightValues) and len(dstValues); got %d vs %d vs %d",
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len(leftValues), len(rightValues), len(dstValues))
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}
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for j, a := range leftValues {
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b := rightValues[j]
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dstValues[j] = bf(a, b, isBool)
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}
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}
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// Optimization: remove time series containing only NaNs.
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// This is quite common after applying filters like `q > 0`.
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dst = removeNaNs(dst)
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return dst, nil
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}
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}
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func adjustBinaryOpTags(be *metricsql.BinaryOpExpr, left, right []*timeseries) ([]*timeseries, []*timeseries, []*timeseries, error) {
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if len(be.GroupModifier.Op) == 0 && len(be.JoinModifier.Op) == 0 {
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if isScalar(left) {
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// Fast path: `scalar op vector`
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rvsLeft := make([]*timeseries, len(right))
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tsLeft := left[0]
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for i, tsRight := range right {
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resetMetricGroupIfRequired(be, tsRight)
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rvsLeft[i] = tsLeft
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}
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return rvsLeft, right, right, nil
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}
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if isScalar(right) {
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// Fast path: `vector op scalar`
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rvsRight := make([]*timeseries, len(left))
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tsRight := right[0]
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for i, tsLeft := range left {
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resetMetricGroupIfRequired(be, tsLeft)
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rvsRight[i] = tsRight
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}
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return left, rvsRight, left, nil
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}
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}
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// Slow path: `vector op vector` or `a op {on|ignoring} {group_left|group_right} b`
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var rvsLeft, rvsRight []*timeseries
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mLeft, mRight := createTimeseriesMapByTagSet(be, left, right)
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joinOp := strings.ToLower(be.JoinModifier.Op)
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groupOp := strings.ToLower(be.GroupModifier.Op)
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if len(groupOp) == 0 {
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groupOp = "ignoring"
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}
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groupTags := be.GroupModifier.Args
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for k, tssLeft := range mLeft {
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tssRight := mRight[k]
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if len(tssRight) == 0 {
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continue
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}
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switch joinOp {
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case "group_left":
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var err error
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rvsLeft, rvsRight, err = groupJoin("right", be, rvsLeft, rvsRight, tssLeft, tssRight)
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if err != nil {
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return nil, nil, nil, err
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}
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case "group_right":
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var err error
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rvsRight, rvsLeft, err = groupJoin("left", be, rvsRight, rvsLeft, tssRight, tssLeft)
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if err != nil {
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return nil, nil, nil, err
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}
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case "":
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if err := ensureSingleTimeseries("left", be, tssLeft); err != nil {
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return nil, nil, nil, err
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}
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if err := ensureSingleTimeseries("right", be, tssRight); err != nil {
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return nil, nil, nil, err
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}
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tsLeft := tssLeft[0]
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resetMetricGroupIfRequired(be, tsLeft)
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switch groupOp {
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case "on":
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tsLeft.MetricName.RemoveTagsOn(groupTags)
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case "ignoring":
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tsLeft.MetricName.RemoveTagsIgnoring(groupTags)
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default:
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logger.Panicf("BUG: unexpected binary op modifier %q", groupOp)
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}
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rvsLeft = append(rvsLeft, tsLeft)
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rvsRight = append(rvsRight, tssRight[0])
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default:
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logger.Panicf("BUG: unexpected join modifier %q", joinOp)
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}
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}
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dst := rvsLeft
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if joinOp == "group_right" {
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dst = rvsRight
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}
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return rvsLeft, rvsRight, dst, nil
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}
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func ensureSingleTimeseries(side string, be *metricsql.BinaryOpExpr, tss []*timeseries) error {
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if len(tss) == 0 {
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logger.Panicf("BUG: tss must contain at least one value")
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}
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for len(tss) > 1 {
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if !mergeNonOverlappingTimeseries(tss[0], tss[len(tss)-1]) {
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return fmt.Errorf(`duplicate time series on the %s side of %s %s: %s and %s`, side, be.Op, be.GroupModifier.AppendString(nil),
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stringMetricTags(&tss[0].MetricName), stringMetricTags(&tss[len(tss)-1].MetricName))
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}
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tss = tss[:len(tss)-1]
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}
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return nil
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}
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func groupJoin(singleTimeseriesSide string, be *metricsql.BinaryOpExpr, rvsLeft, rvsRight, tssLeft, tssRight []*timeseries) ([]*timeseries, []*timeseries, error) {
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joinTags := be.JoinModifier.Args
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var m map[string]*timeseries
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for _, tsLeft := range tssLeft {
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resetMetricGroupIfRequired(be, tsLeft)
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if len(tssRight) == 1 {
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// Easy case - right part contains only a single matching time series.
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tsLeft.MetricName.AddMissingTags(joinTags, &tssRight[0].MetricName)
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rvsLeft = append(rvsLeft, tsLeft)
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rvsRight = append(rvsRight, tssRight[0])
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continue
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}
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// Hard case - right part contains multiple matching time series.
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// Verify it doesn't result in duplicate MetricName values after adding missing tags.
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if m == nil {
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m = make(map[string]*timeseries, len(tssRight))
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} else {
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for k := range m {
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delete(m, k)
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}
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}
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bb := bbPool.Get()
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for _, tsRight := range tssRight {
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var tsCopy timeseries
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tsCopy.CopyFromShallowTimestamps(tsLeft)
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tsCopy.MetricName.AddMissingTags(joinTags, &tsRight.MetricName)
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bb.B = marshalMetricTagsSorted(bb.B[:0], &tsCopy.MetricName)
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if tsExisting := m[string(bb.B)]; tsExisting != nil {
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// Try merging tsExisting with tsRight if they don't overlap.
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if mergeNonOverlappingTimeseries(tsExisting, tsRight) {
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continue
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}
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return nil, nil, fmt.Errorf("duplicate time series on the %s side of `%s %s %s`: %s and %s",
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singleTimeseriesSide, be.Op, be.GroupModifier.AppendString(nil), be.JoinModifier.AppendString(nil),
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stringMetricTags(&tsExisting.MetricName), stringMetricTags(&tsRight.MetricName))
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}
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m[string(bb.B)] = tsRight
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rvsLeft = append(rvsLeft, &tsCopy)
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rvsRight = append(rvsRight, tsRight)
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}
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bbPool.Put(bb)
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}
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return rvsLeft, rvsRight, nil
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}
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func mergeNonOverlappingTimeseries(dst, src *timeseries) bool {
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// Verify whether the time series can be merged.
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srcValues := src.Values
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dstValues := dst.Values
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_ = dstValues[len(srcValues)-1]
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for i, v := range srcValues {
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if math.IsNaN(v) {
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continue
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}
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if !math.IsNaN(dstValues[i]) {
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return false
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}
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}
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// Time series can be merged. Merge them.
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for i, v := range srcValues {
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if math.IsNaN(v) {
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continue
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}
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dstValues[i] = v
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}
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return true
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}
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func resetMetricGroupIfRequired(be *metricsql.BinaryOpExpr, ts *timeseries) {
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if metricsql.IsBinaryOpCmp(be.Op) && !be.Bool {
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// Do not reset MetricGroup for non-boolean `compare` binary ops like Prometheus does.
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return
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}
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switch be.Op {
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case "default", "if", "ifnot":
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// Do not reset MetricGroup for these ops.
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return
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}
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ts.MetricName.ResetMetricGroup()
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}
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func binaryOpAnd(bfa *binaryOpFuncArg) ([]*timeseries, error) {
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mLeft, mRight := createTimeseriesMapByTagSet(bfa.be, bfa.left, bfa.right)
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var rvs []*timeseries
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for k := range mRight {
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if tss := mLeft[k]; tss != nil {
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rvs = append(rvs, tss...)
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}
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}
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return rvs, nil
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}
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func binaryOpOr(bfa *binaryOpFuncArg) ([]*timeseries, error) {
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mLeft, mRight := createTimeseriesMapByTagSet(bfa.be, bfa.left, bfa.right)
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var rvs []*timeseries
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for _, tss := range mLeft {
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rvs = append(rvs, tss...)
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}
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for k, tss := range mRight {
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if mLeft[k] == nil {
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rvs = append(rvs, tss...)
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}
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}
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return rvs, nil
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}
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func binaryOpUnless(bfa *binaryOpFuncArg) ([]*timeseries, error) {
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mLeft, mRight := createTimeseriesMapByTagSet(bfa.be, bfa.left, bfa.right)
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var rvs []*timeseries
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for k, tss := range mLeft {
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if mRight[k] == nil {
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rvs = append(rvs, tss...)
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}
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}
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return rvs, nil
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}
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func createTimeseriesMapByTagSet(be *metricsql.BinaryOpExpr, left, right []*timeseries) (map[string][]*timeseries, map[string][]*timeseries) {
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groupTags := be.GroupModifier.Args
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groupOp := strings.ToLower(be.GroupModifier.Op)
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if len(groupOp) == 0 {
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groupOp = "ignoring"
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}
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getTagsMap := func(arg []*timeseries) map[string][]*timeseries {
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bb := bbPool.Get()
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m := make(map[string][]*timeseries, len(arg))
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mn := storage.GetMetricName()
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for _, ts := range arg {
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mn.CopyFrom(&ts.MetricName)
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mn.ResetMetricGroup()
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switch groupOp {
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case "on":
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mn.RemoveTagsOn(groupTags)
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case "ignoring":
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mn.RemoveTagsIgnoring(groupTags)
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default:
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logger.Panicf("BUG: unexpected binary op modifier %q", groupOp)
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}
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bb.B = marshalMetricTagsSorted(bb.B[:0], mn)
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m[string(bb.B)] = append(m[string(bb.B)], ts)
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}
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storage.PutMetricName(mn)
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bbPool.Put(bb)
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return m
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}
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mLeft := getTagsMap(left)
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mRight := getTagsMap(right)
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return mLeft, mRight
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}
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func isScalar(arg []*timeseries) bool {
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if len(arg) != 1 {
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return false
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}
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mn := &arg[0].MetricName
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if len(mn.MetricGroup) > 0 {
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return false
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}
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return len(mn.Tags) == 0
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}
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