VictoriaMetrics/lib/streamaggr/count_series.go

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package streamaggr
import (
lib/streamaggr: huge pile of changes - Reduce memory usage by up to 5x when de-duplicating samples across big number of time series. - Reduce memory usage by up to 5x when aggregating across big number of output time series. - Add lib/promutils.LabelsCompressor, which is going to be used by other VictoriaMetrics components for reducing memory usage for marshaled []prompbmarshal.Label. - Add `dedup_interval` option at aggregation config, which allows setting individual deduplication intervals per each aggregation. - Add `keep_metric_names` option at aggregation config, which allows keeping the original metric names in the output samples. - Add `unique_samples` output, which counts the number of unique sample values. - Add `increase_prometheus` and `total_prometheus` outputs, which ignore the first sample per each newly encountered time series. - Use 64-bit hashes instead of marshaled labels as map keys when calculating `count_series` output. This makes obsolete https://github.com/VictoriaMetrics/VictoriaMetrics/pull/5579 - Expose various metrics, which may help debugging stream aggregation: - vm_streamaggr_dedup_state_size_bytes - the size of data structures responsible for deduplication - vm_streamaggr_dedup_state_items_count - the number of items in the deduplication data structures - vm_streamaggr_labels_compressor_size_bytes - the size of labels compressor data structures - vm_streamaggr_labels_compressor_items_count - the number of entries in the labels compressor - vm_streamaggr_flush_duration_seconds - a histogram, which shows the duration of stream aggregation flushes - vm_streamaggr_dedup_flush_duration_seconds - a histogram, which shows the duration of deduplication flushes - vm_streamaggr_flush_timeouts_total - counter for timed out stream aggregation flushes, which took longer than the configured interval - vm_streamaggr_dedup_flush_timeouts_total - counter for timed out deduplication flushes, which took longer than the configured dedup_interval - Actualize docs/stream-aggregation.md The memory usage reduction increases CPU usage during stream aggregation by up to 30%. This commit is based on https://github.com/VictoriaMetrics/VictoriaMetrics/pull/5850 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5898
2024-03-02 00:42:26 +00:00
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/cespare/xxhash/v2"
)
func countSeriesInitFn(values []aggrValue) []aggrValue {
for i := range values {
values[i] = &countSeriesAggrValue{
samples: make(map[uint64]struct{}),
}
}
return values
}
type countSeriesAggrValue struct {
samples map[uint64]struct{}
}
func (av *countSeriesAggrValue) pushSample(ctx *pushSampleCtx) {
// Count unique hashes over the inputKeys instead of unique inputKey values.
// This reduces memory usage at the cost of possible hash collisions for distinct inputKey values.
h := xxhash.Sum64(bytesutil.ToUnsafeBytes(ctx.inputKey))
if _, ok := av.samples[h]; !ok {
av.samples[h] = struct{}{}
}
}
func (av *countSeriesAggrValue) flush(ctx *flushCtx, key string) {
ctx.appendSeries(key, "count_series", float64(len(av.samples)))
clear(av.samples)
}