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group_by.go
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group_by.go
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package kapacitor
import (
"sort"
"sync"
"time"
"github.com/influxdata/kapacitor/edge"
"github.com/influxdata/kapacitor/expvar"
"github.com/influxdata/kapacitor/models"
"github.com/influxdata/kapacitor/pipeline"
"github.com/influxdata/kapacitor/tick/ast"
)
type GroupByNode struct {
node
g *pipeline.GroupByNode
byName bool
tagNames []string
begin edge.BeginBatchMessage
dimensions models.Dimensions
allDimensions bool
mu sync.RWMutex
lastTime time.Time
groups map[models.GroupID]edge.BufferedBatchMessage
}
// Create a new GroupByNode which splits the stream dynamically based on the specified dimensions.
func newGroupByNode(et *ExecutingTask, n *pipeline.GroupByNode, d NodeDiagnostic) (*GroupByNode, error) {
gn := &GroupByNode{
node: node{Node: n, et: et, diag: d},
g: n,
groups: make(map[models.GroupID]edge.BufferedBatchMessage),
}
gn.node.runF = gn.runGroupBy
gn.allDimensions, gn.tagNames = determineTagNames(n.Dimensions, n.ExcludedDimensions)
gn.byName = n.ByMeasurementFlag
return gn, nil
}
func (n *GroupByNode) runGroupBy([]byte) error {
valueF := func() int64 {
n.mu.RLock()
l := len(n.groups)
n.mu.RUnlock()
return int64(l)
}
n.statMap.Set(statCardinalityGauge, expvar.NewIntFuncGauge(valueF))
consumer := edge.NewConsumerWithReceiver(
n.ins[0],
n,
)
return consumer.Consume()
}
func (n *GroupByNode) Point(p edge.PointMessage) error {
p = p.ShallowCopy()
n.timer.Start()
dims := p.Dimensions()
dims.ByName = dims.ByName || n.byName
dims.TagNames = computeTagNames(p.Tags(), n.allDimensions, n.tagNames, n.g.ExcludedDimensions)
p.SetDimensions(dims)
n.timer.Stop()
if err := edge.Forward(n.outs, p); err != nil {
return err
}
return nil
}
func (n *GroupByNode) BeginBatch(begin edge.BeginBatchMessage) error {
n.timer.Start()
defer n.timer.Stop()
if err := n.emit(begin.Time()); err != nil {
return err
}
n.begin = begin
n.dimensions = begin.Dimensions()
n.dimensions.ByName = n.dimensions.ByName || n.byName
return nil
}
func (n *GroupByNode) BatchPoint(bp edge.BatchPointMessage) error {
n.timer.Start()
defer n.timer.Stop()
n.dimensions.TagNames = computeTagNames(bp.Tags(), n.allDimensions, n.tagNames, n.g.ExcludedDimensions)
groupID := models.ToGroupID(n.begin.Name(), bp.Tags(), n.dimensions)
group, ok := n.groups[groupID]
if !ok {
// Create new begin message
newBegin := n.begin.ShallowCopy()
newBegin.SetTagsAndDimensions(bp.Tags(), n.dimensions)
// Create buffer for group batch
group = edge.NewBufferedBatchMessage(
newBegin,
make([]edge.BatchPointMessage, 0, newBegin.SizeHint()),
edge.NewEndBatchMessage(),
)
n.mu.Lock()
n.groups[groupID] = group
n.mu.Unlock()
}
group.SetPoints(append(group.Points(), bp))
return nil
}
func (n *GroupByNode) EndBatch(end edge.EndBatchMessage) error {
return nil
}
func (n *GroupByNode) Barrier(b edge.BarrierMessage) error {
n.timer.Start()
err := n.emit(b.Time())
n.timer.Stop()
if err != nil {
return err
}
return edge.Forward(n.outs, b)
}
func (n *GroupByNode) DeleteGroup(d edge.DeleteGroupMessage) error {
n.timer.Start()
n.mu.Lock()
delete(n.groups, d.GroupID())
n.mu.Unlock()
n.timer.Stop()
return edge.Forward(n.outs, d)
}
func (n *GroupByNode) Done() {}
// emit sends all groups before time t to children nodes.
// The node timer must be started when calling this method.
func (n *GroupByNode) emit(t time.Time) error {
// TODO: ensure this time comparison works with barrier messages
if !t.Equal(n.lastTime) {
n.lastTime = t
// Emit all groups
for id, group := range n.groups {
// Update SizeHint since we know the final point count
group.Begin().SetSizeHint(len(group.Points()))
// Sort points since we didn't guarantee insertion order was sorted
sort.Sort(edge.BatchPointMessages(group.Points()))
// Send group batch to all children
n.timer.Pause()
if err := edge.Forward(n.outs, group); err != nil {
return err
}
n.timer.Resume()
n.mu.Lock()
// Remove from group
delete(n.groups, id)
n.mu.Unlock()
}
}
return nil
}
func determineTagNames(dimensions []interface{}, excluded []string) (allDimensions bool, realDimensions []string) {
for _, dim := range dimensions {
switch d := dim.(type) {
case string:
realDimensions = append(realDimensions, d)
case *ast.StarNode:
allDimensions = true
}
}
sort.Strings(realDimensions)
realDimensions = filterExcludedTagNames(realDimensions, excluded)
return
}
func filterExcludedTagNames(tagNames, excluded []string) []string {
filtered := tagNames[0:0]
for _, t := range tagNames {
found := false
for _, x := range excluded {
if x == t {
found = true
break
}
}
if !found {
filtered = append(filtered, t)
}
}
return filtered
}
func computeTagNames(tags models.Tags, allDimensions bool, tagNames, excluded []string) []string {
if allDimensions {
return filterExcludedTagNames(models.SortedKeys(tags), excluded)
}
return tagNames
}