VictoriaMetrics/app/vmagent/remotewrite/pendingseries_test.go

73 lines
2.3 KiB
Go

package remotewrite
import (
"fmt"
"math"
"testing"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
)
func TestPushWriteRequest(t *testing.T) {
rowsCounts := []int{1, 10, 100, 1e3, 1e4}
expectedBlockLensProm := []int{216, 1848, 16424, 169882, 1757876}
expectedBlockLensVM := []int{138, 492, 3927, 34995, 288476}
for i, rowsCount := range rowsCounts {
expectedBlockLenProm := expectedBlockLensProm[i]
expectedBlockLenVM := expectedBlockLensVM[i]
t.Run(fmt.Sprintf("%d", rowsCount), func(t *testing.T) {
testPushWriteRequest(t, rowsCount, expectedBlockLenProm, expectedBlockLenVM)
})
}
}
func testPushWriteRequest(t *testing.T, rowsCount, expectedBlockLenProm, expectedBlockLenVM int) {
f := func(isVMRemoteWrite bool, expectedBlockLen int, tolerancePrc float64) {
t.Helper()
wr := newTestWriteRequest(rowsCount, 20)
pushBlockLen := 0
pushBlock := func(block []byte) bool {
if pushBlockLen > 0 {
panic(fmt.Errorf("BUG: pushBlock called multiple times; pushBlockLen=%d at first call, len(block)=%d at second call", pushBlockLen, len(block)))
}
pushBlockLen = len(block)
return true
}
if !tryPushWriteRequest(wr, pushBlock, isVMRemoteWrite) {
t.Fatalf("cannot push data to to remote storage")
}
if math.Abs(float64(pushBlockLen-expectedBlockLen)/float64(expectedBlockLen)*100) > tolerancePrc {
t.Fatalf("unexpected block len for rowsCount=%d, isVMRemoteWrite=%v; got %d bytes; expecting %d bytes +- %.0f%%",
rowsCount, isVMRemoteWrite, pushBlockLen, expectedBlockLen, tolerancePrc)
}
}
// Check Prometheus remote write
f(false, expectedBlockLenProm, 3)
// Check VictoriaMetrics remote write
f(true, expectedBlockLenVM, 15)
}
func newTestWriteRequest(seriesCount, labelsCount int) *prompbmarshal.WriteRequest {
var wr prompbmarshal.WriteRequest
for i := 0; i < seriesCount; i++ {
var labels []prompbmarshal.Label
for j := 0; j < labelsCount; j++ {
labels = append(labels, prompbmarshal.Label{
Name: fmt.Sprintf("label_%d_%d", i, j),
Value: fmt.Sprintf("value_%d_%d", i, j),
})
}
wr.Timeseries = append(wr.Timeseries, prompbmarshal.TimeSeries{
Labels: labels,
Samples: []prompbmarshal.Sample{
{
Value: float64(i),
Timestamp: 1000 * int64(i),
},
},
})
}
return &wr
}