VictoriaMetrics/lib/promutils/labelscompressor_timing_test.go

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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 01:42:26 +01:00
package promutils
import (
"sync/atomic"
"testing"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
)
func BenchmarkLabelsCompressorCompress(b *testing.B) {
var lc LabelsCompressor
series := newTestSeries(100, 10)
b.ReportAllocs()
b.SetBytes(int64(len(series)))
b.RunParallel(func(pb *testing.PB) {
var dst []byte
for pb.Next() {
dst = dst[:0]
for _, labels := range series {
dst = lc.Compress(dst, labels)
}
Sink.Add(uint64(len(dst)))
}
})
}
func BenchmarkLabelsCompressorDecompress(b *testing.B) {
var lc LabelsCompressor
series := newTestSeries(100, 10)
datas := make([][]byte, len(series))
var dst []byte
for i, labels := range series {
dstLen := len(dst)
dst = lc.Compress(dst, labels)
datas[i] = dst[dstLen:]
}
b.ReportAllocs()
b.SetBytes(int64(len(series)))
b.RunParallel(func(pb *testing.PB) {
var labels []prompbmarshal.Label
for pb.Next() {
for _, data := range datas {
labels = lc.Decompress(labels[:0], data)
}
Sink.Add(uint64(len(labels)))
}
})
}
var Sink atomic.Uint64