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This allows setting up data replication among failure domains if the replication factor is smaller than the number of failure domains. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6054 See https://docs.victoriametrics.com/vmagent/#sharding-among-remote-storages
48 lines
1.2 KiB
Go
48 lines
1.2 KiB
Go
package remotewrite
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import (
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"fmt"
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"math"
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"testing"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
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)
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func TestGetLabelsHash_Distribution(t *testing.T) {
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f := func(bucketsCount int) {
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t.Helper()
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// Distribute itemsCount hashes returned by getLabelsHash() across bucketsCount buckets.
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itemsCount := 1_000 * bucketsCount
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m := make([]int, bucketsCount)
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var labels []prompbmarshal.Label
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for i := 0; i < itemsCount; i++ {
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labels = append(labels[:0], prompbmarshal.Label{
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Name: "__name__",
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Value: fmt.Sprintf("some_name_%d", i),
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})
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for j := 0; j < 10; j++ {
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labels = append(labels, prompbmarshal.Label{
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Name: fmt.Sprintf("label_%d", j),
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Value: fmt.Sprintf("value_%d_%d", i, j),
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})
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}
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h := getLabelsHash(labels)
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m[h%uint64(bucketsCount)]++
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}
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// Verify that the distribution is even
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expectedItemsPerBucket := itemsCount / bucketsCount
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for _, n := range m {
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if math.Abs(1-float64(n)/float64(expectedItemsPerBucket)) > 0.04 {
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t.Fatalf("unexpected items in the bucket for %d buckets; got %d; want around %d", bucketsCount, n, expectedItemsPerBucket)
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}
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}
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}
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f(2)
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f(3)
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f(4)
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f(5)
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f(10)
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}
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