/
collector.go
97 lines (80 loc) · 2.5 KB
/
collector.go
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// Copyright The OpenTelemetry Authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package fluentforwardreceiver
import (
"context"
"go.opencensus.io/stats"
"go.uber.org/zap"
"go.opentelemetry.io/collector/consumer"
"go.opentelemetry.io/collector/consumer/pdata"
"go.opentelemetry.io/collector/receiver/fluentforwardreceiver/observ"
)
// Collector acts as an aggregator of LogRecords so that we don't have to
// generate as many pdata.Logs instances...we can pre-batch the LogRecord
// instances from several Forward events into one to hopefully reduce
// allocations and GC overhead.
type Collector struct {
nextConsumer consumer.LogsConsumer
eventCh <-chan Event
logger *zap.Logger
}
func newCollector(eventCh <-chan Event, next consumer.LogsConsumer, logger *zap.Logger) *Collector {
return &Collector{
nextConsumer: next,
eventCh: eventCh,
logger: logger,
}
}
func (c *Collector) Start(ctx context.Context) {
go c.processEvents(ctx)
}
func (c *Collector) processEvents(ctx context.Context) {
for {
select {
case <-ctx.Done():
return
case e := <-c.eventCh:
buffered := []Event{e}
// Pull out anything waiting on the eventCh to get better
// efficiency on LogResource allocations.
buffered = fillBufferUntilChanEmpty(c.eventCh, buffered)
logs := collectLogRecords(buffered)
c.nextConsumer.ConsumeLogs(ctx, logs)
}
}
}
func fillBufferUntilChanEmpty(eventCh <-chan Event, buf []Event) []Event {
for {
select {
case e2 := <-eventCh:
buf = append(buf, e2)
default:
return buf
}
}
}
func collectLogRecords(events []Event) pdata.Logs {
out := pdata.NewLogs()
logs := out.ResourceLogs()
logs.Resize(1)
rls := logs.At(0)
rls.Resource().InitEmpty()
rls.InstrumentationLibraryLogs().Resize(1)
logSlice := rls.InstrumentationLibraryLogs().At(0).Logs()
for i := range events {
events[i].LogRecords().MoveAndAppendTo(logSlice)
}
stats.Record(context.Background(), observ.RecordsGenerated.M(int64(out.LogRecordCount())))
return out
}