return carpWithPayload(carpPayload)
			}(),
		},
		{
			name: "an obj with 10kB payload",
			obj: func() runtime.Object {
				carpPayload := make([]byte, 10000) // 10 kB
				if _, err := rand.Read(carpPayload); err != nil {
					panic(err)
				}
				return carpWithPayload(carpPayload)
			}(),
		},
		{
			name: "an obj with 100kB payload",
			obj: func() runtime.Object {

## Troubleshooting

In Kubernetes clusters in version 1.10.0 or later, fluentd-gcp DaemonSet can be
manually scaled. This is useful e.g. when applications running in the cluster
are sending a large volume of logs (i.e. over 100kB/s), causing fluentd-gcp to
fail with OutOfMemory errors. Conversely, if the applications aren't generating
a lot of logs, it may be useful to reduce the amount of resources consumed by

func BenchmarkPutObject100KbFS(b *testing.B) {
	benchmarkPutObject(b, "FS", 100*humanize.KiByte)
}

// BenchmarkPutObject100KbErasure - Benchmark Erasure.PutObject() for object size of 100KB.
func BenchmarkPutObject100KbErasure(b *testing.B) {
	benchmarkPutObject(b, "Erasure", 100*humanize.KiByte)
}

labels.facet_contentLength_10k=  - 10kb
labels.facet_contentLength_10kto100k=10kb - 100kb
labels.facet_contentLength_100kto500k=100kb - 500kb
labels.facet_contentLength_500kto1m=500kb - 1mb
labels.facet_contentLength_1m=1mb -  
labels.facet_contentLength_10kto50k=10kb - 50kb
labels.facet_contentLength_50kto100k=50kb - 100kb
labels.facet_contentLength_100kto250k=100kb - 250kb

labels.facet_timestamp_1month=За месяц
labels.facet_timestamp_1year=За год
labels.facet_contentLength_title=Размер
labels.facet_contentLength_10k=  - 10kb
labels.facet_contentLength_10kto100k=10kb - 100kb
labels.facet_contentLength_100kto500k=100kb - 500kb
labels.facet_contentLength_500kto1m=500kb - 1mb
labels.facet_contentLength_1m=1mb -  
labels.facet_filetype_title=Тип файла
labels.facet_filetype_html=HTML

labels.facet_contentLength_10k=  - 10kb
labels.facet_contentLength_10kto100k=10kb - 100kb
labels.facet_contentLength_100kto500k=100kb - 500kb
labels.facet_contentLength_500kto1m=500kb - 1mb
labels.facet_contentLength_1m=1mb -  
labels.facet_contentLength_10kto50k=10kb - 50kb
labels.facet_contentLength_50kto100k=50kb - 100kb
labels.facet_contentLength_100kto250k=100kb - 250kb

labels.facet_contentLength_10k	=	  - 10kb
labels.facet_contentLength_10kto100k	=	10kb - 100kb
labels.facet_contentLength_100kto500k	=	100kb - 500kb
labels.facet_contentLength_500kto1m	=	500kb - 1mb
labels.facet_contentLength_1m	=	1mb -  
labels.facet_contentLength_10kto50k	=	10kb - 50kb
labels.facet_contentLength_50kto100k	=	50kb - 100kb
labels.facet_contentLength_100kto250k	=	100kb - 250kb

labels.facet_timestamp_1month = 1개월 이내
labels.facet_timestamp_1year = 1년 이내
labels.facet_contentLength_title = 사이즈
labels.facet_contentLength_10k=  - 10kb
labels.facet_contentLength_10kto100k=10kb - 100kb
labels.facet_contentLength_100kto500k=100kb - 500kb
labels.facet_contentLength_500kto1m=500kb - 1mb
labels.facet_contentLength_1m=1mb -  
labels.facet_filetype_title = 파일 형식
labels.facet_filetype_html = HTML

      </metric>
    </filter>

    # TODO(instrumentation): Reconsider this workaround later.
    # Trim the entries which exceed slightly less than 100KB, to avoid
    # dropping them. It is a necessity, because Stackdriver only supports
    # entries that are up to 100KB in size.
    <filter kubernetes.**>
      @type record_transformer
      enable_ruby true
      <record>

	}
}

func BenchmarkValidStringLongJapanese(b *testing.B) {
	for i := 0; i < b.N; i++ {
		ValidString(longStringJapanese)
	}
}

var longStringMostlyASCII string // ~100KB, ~97% ASCII
var longStringJapanese string    // ~100KB, non-ASCII

func init() {
	const japanese = "日本語日本語日本語日"
	var b strings.Builder
	for i := 0; b.Len() < 100_000; i++ {
		if i%100 == 0 {
			b.WriteString(japanese)
		} else {