-
Notifications
You must be signed in to change notification settings - Fork 51
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
execution: add count_values aggregation
Signed-off-by: Michael Hoffmann <mhoffm@posteo.de>
- Loading branch information
1 parent
7939b4f
commit c1dd8ba
Showing
4 changed files
with
173 additions
and
4 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,148 @@ | ||
| package aggregate | ||
|
|
||
| import ( | ||
| "context" | ||
| "fmt" | ||
| "strconv" | ||
| "sync" | ||
|
|
||
| "github.com/prometheus/prometheus/model/labels" | ||
|
|
||
| "github.com/thanos-io/promql-engine/execution/model" | ||
| "github.com/thanos-io/promql-engine/query" | ||
| ) | ||
|
|
||
| type countValuesOperator struct { | ||
| model.OperatorTelemetry | ||
|
|
||
| pool *model.VectorPool | ||
| next model.VectorOperator | ||
| param string | ||
|
|
||
| stepsBatch int | ||
| curStep int | ||
|
|
||
| ts []int64 | ||
| counts []map[float64]int | ||
| seriesIds map[float64]int | ||
| series []labels.Labels | ||
|
|
||
| once sync.Once | ||
| } | ||
|
|
||
| func NewCountValues(pool *model.VectorPool, next model.VectorOperator, param string, opts *query.Options) model.VectorOperator { | ||
| return &countValuesOperator{ | ||
| pool: pool, | ||
| next: next, | ||
| param: param, | ||
| stepsBatch: opts.StepsBatch, | ||
| } | ||
| } | ||
|
|
||
| func (c *countValuesOperator) Explain() []model.VectorOperator { | ||
| return []model.VectorOperator{c.next} | ||
| } | ||
|
|
||
| func (c *countValuesOperator) GetPool() *model.VectorPool { | ||
| return c.pool | ||
| } | ||
|
|
||
| func (c *countValuesOperator) String() string { | ||
| return fmt.Sprintf("[countValues] '%s'", c.param) | ||
| } | ||
|
|
||
| func (c *countValuesOperator) Series(ctx context.Context) ([]labels.Labels, error) { | ||
| //start := time.Now() | ||
| //defer func() { c.AddExecutionTimeTaken(time.Since(start)) }() | ||
|
|
||
| var err error | ||
| c.once.Do(func() { err = c.initSeriesOnce(ctx) }) | ||
| return c.series, err | ||
| } | ||
|
|
||
| func (c *countValuesOperator) Next(ctx context.Context) ([]model.StepVector, error) { | ||
| //start := time.Now() | ||
| //defer func() { c.AddExecutionTimeTaken(time.Since(start)) }() | ||
|
|
||
| select { | ||
| case <-ctx.Done(): | ||
| return nil, ctx.Err() | ||
| default: | ||
| } | ||
|
|
||
| var err error | ||
| c.once.Do(func() { err = c.initSeriesOnce(ctx) }) | ||
| if err != nil { | ||
| return nil, err | ||
| } | ||
|
|
||
| if c.curStep >= len(c.ts) { | ||
| return nil, nil | ||
| } | ||
|
|
||
| batch := c.pool.GetVectorBatch() | ||
| for i := 0; i < c.stepsBatch; i++ { | ||
| if c.curStep >= len(c.ts) { | ||
| break | ||
| } | ||
| sv := c.pool.GetStepVector(c.ts[c.curStep]) | ||
| for k, v := range c.counts[c.curStep] { | ||
| sv.AppendSample(c.pool, uint64(c.seriesIds[k]), float64(v)) | ||
| } | ||
| batch = append(batch, sv) | ||
| c.curStep++ | ||
| } | ||
| return batch, nil | ||
| } | ||
|
|
||
| func (c *countValuesOperator) initSeriesOnce(ctx context.Context) error { | ||
| _, err := c.next.Series(ctx) | ||
| if err != nil { | ||
| return err | ||
| } | ||
| ts := make([]int64, 0) | ||
| counts := make([]map[float64]int, 0) | ||
| series := make([]labels.Labels, 0) | ||
| seriesIds := make(map[float64]int, 0) | ||
|
|
||
| seenSeries := make(map[string]struct{}) | ||
| for { | ||
| select { | ||
| case <-ctx.Done(): | ||
| return ctx.Err() | ||
| default: | ||
| } | ||
|
|
||
| in, err := c.next.Next(ctx) | ||
| if err != nil { | ||
| return err | ||
| } | ||
| if in == nil { | ||
| break | ||
| } | ||
| for i := range in { | ||
| ts = append(ts, in[i].T) | ||
| count := make(map[float64]int) | ||
| for j := range in[i].Samples { | ||
| count[in[i].Samples[j]]++ | ||
| } | ||
| for k := range count { | ||
| fval := strconv.FormatFloat(k, 'f', -1, 64) | ||
| if _, ok := seenSeries[fval]; !ok { | ||
| seenSeries[fval] = struct{}{} | ||
| series = append(series, labels.FromStrings(c.param, fval)) | ||
| seriesIds[k] = len(series) - 1 | ||
| } | ||
| } | ||
| counts = append(counts, count) | ||
| } | ||
| c.next.GetPool().PutVectors(in) | ||
| } | ||
|
|
||
| c.ts = ts | ||
| c.counts = counts | ||
| c.series = series | ||
| c.seriesIds = seriesIds | ||
|
|
||
| return nil | ||
| } |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters