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encoded_series_iterator.go
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/
encoded_series_iterator.go
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// Copyright (c) 2018 Uber Technologies, Inc.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
// THE SOFTWARE.
package m3db
import (
"fmt"
"time"
"github.com/m3db/m3/src/dbnode/encoding"
"github.com/m3db/m3/src/query/block"
"github.com/m3db/m3/src/query/ts"
"github.com/m3db/m3/src/query/util"
)
// NewEncodedSeriesIter creates a new encoded series iterator.
func NewEncodedSeriesIter(
meta block.Metadata,
seriesMetas []block.SeriesMeta,
seriesIters []encoding.SeriesIterator,
lookback time.Duration,
instrumented bool,
) block.SeriesIter {
return &encodedSeriesIter{
idx: -1,
meta: meta,
seriesMeta: seriesMetas,
seriesIters: seriesIters,
lookbackDuration: lookback,
instrumented: instrumented,
}
}
type encodedSeriesIter struct {
idx int
lookbackDuration time.Duration
err error
meta block.Metadata
datapoints ts.Datapoints
series block.UnconsolidatedSeries
seriesMeta []block.SeriesMeta
seriesIters []encoding.SeriesIterator
instrumented bool
}
func (b *encodedBlock) SeriesIter() (block.SeriesIter, error) {
return NewEncodedSeriesIter(
b.meta, b.seriesMetas, b.seriesBlockIterators,
b.options.LookbackDuration(), b.options.Instrumented(),
), nil
}
func (it *encodedSeriesIter) Current() block.UnconsolidatedSeries {
return it.series
}
func (it *encodedSeriesIter) Err() error {
return it.err
}
func (it *encodedSeriesIter) Next() bool {
if it.err != nil {
return false
}
it.idx++
next := it.idx < len(it.seriesIters)
if !next {
return false
}
iter := it.seriesIters[it.idx]
if it.datapoints == nil {
it.datapoints = make(ts.Datapoints, 0, initBlockReplicaLength)
} else {
it.datapoints = it.datapoints[:0]
}
var (
decodeDuration time.Duration
decodeStart time.Time
)
if it.instrumented {
decodeStart = time.Now()
}
for iter.Next() {
dp, _, _ := iter.Current()
it.datapoints = append(it.datapoints,
ts.Datapoint{
Timestamp: dp.Timestamp,
Value: dp.Value,
})
}
if it.instrumented {
decodeDuration = time.Since(decodeStart)
}
if it.err = iter.Err(); it.err != nil {
return false
}
it.series = block.NewUnconsolidatedSeries(
it.datapoints,
it.seriesMeta[it.idx],
block.UnconsolidatedSeriesStats{
Enabled: it.instrumented,
DecodeDuration: decodeDuration,
})
return next
}
func (it *encodedSeriesIter) SeriesCount() int {
return len(it.seriesIters)
}
func (it *encodedSeriesIter) SeriesMeta() []block.SeriesMeta {
return it.seriesMeta
}
func (it *encodedSeriesIter) Close() {
// noop, as the resources at the step may still be in use;
// instead call Close() on the encodedBlock that generated this
}
// MultiSeriesIter returns batched series iterators for the block based on
// given concurrency.
func (b *encodedBlock) MultiSeriesIter(
concurrency int,
) ([]block.SeriesIterBatch, error) {
fn := iteratorBatchingFn
if b.options != nil && b.options.IteratorBatchingFn() != nil {
fn = b.options.IteratorBatchingFn()
}
return fn(
concurrency,
b.seriesBlockIterators,
b.seriesMetas,
b.meta,
b.options,
)
}
func iteratorBatchingFn(
concurrency int,
seriesBlockIterators []encoding.SeriesIterator,
seriesMetas []block.SeriesMeta,
meta block.Metadata,
opts Options,
) ([]block.SeriesIterBatch, error) {
if concurrency < 1 {
return nil, fmt.Errorf("batch size %d must be greater than 0", concurrency)
}
var (
iterCount = len(seriesBlockIterators)
iters = make([]block.SeriesIterBatch, 0, concurrency)
chunkSize = iterCount / concurrency
remainder = iterCount % concurrency
chunkSizes = make([]int, concurrency)
)
util.MemsetInt(chunkSizes, chunkSize)
for i := 0; i < remainder; i++ {
chunkSizes[i] = chunkSizes[i] + 1
}
start := 0
for _, chunkSize := range chunkSizes {
end := start + chunkSize
if end > iterCount {
end = iterCount
}
iter := NewEncodedSeriesIter(
meta, seriesMetas[start:end], seriesBlockIterators[start:end],
opts.LookbackDuration(), opts.Instrumented(),
)
iters = append(iters, block.SeriesIterBatch{
Iter: iter,
Size: end - start,
})
start = end
}
return iters, nil
}