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Not useful in\n+# practice, but can happen (if clients change bucketing), and the\n+# server has to cope with it.\n+\n+# Test histogram.\n+load 5m\n+\ttesthistogram_bucket{le=\"0.1\", start=\"positive\"}\t0+5x10\n+\ttesthistogram_bucket{le=\".2\", start=\"positive\"}\t\t0+7x10\n+\ttesthistogram_bucket{le=\"1e0\", start=\"positive\"}\t0+11x10\n+\ttesthistogram_bucket{le=\"+Inf\", start=\"positive\"}\t0+12x10\n+\ttesthistogram_bucket{le=\"-.2\", start=\"negative\"}\t0+1x10\n+\ttesthistogram_bucket{le=\"-0.1\", start=\"negative\"}\t0+2x10\n+\ttesthistogram_bucket{le=\"0.3\", start=\"negative\"}\t0+2x10\n+\ttesthistogram_bucket{le=\"+Inf\", start=\"negative\"}\t0+3x10\n+\n+\n+# Now a more realistic histogram per job and instance to test aggregation.\n+load 5m\n+\trequest_duration_seconds_bucket{job=\"job1\", instance=\"ins1\", le=\"0.1\"}\t0+1x10\n+\trequest_duration_seconds_bucket{job=\"job1\", instance=\"ins1\", le=\"0.2\"}\t0+3x10\n+\trequest_duration_seconds_bucket{job=\"job1\", instance=\"ins1\", le=\"+Inf\"}\t0+4x10\n+\trequest_duration_seconds_bucket{job=\"job1\", instance=\"ins2\", le=\"0.1\"}\t0+2x10\n+\trequest_duration_seconds_bucket{job=\"job1\", instance=\"ins2\", le=\"0.2\"}\t0+5x10\n+\trequest_duration_seconds_bucket{job=\"job1\", instance=\"ins2\", le=\"+Inf\"}\t0+6x10\n+\trequest_duration_seconds_bucket{job=\"job2\", instance=\"ins1\", le=\"0.1\"}\t0+3x10\n+\trequest_duration_seconds_bucket{job=\"job2\", instance=\"ins1\", le=\"0.2\"}\t0+4x10\n+\trequest_duration_seconds_bucket{job=\"job2\", instance=\"ins1\", le=\"+Inf\"}\t0+6x10\n+\trequest_duration_seconds_bucket{job=\"job2\", instance=\"ins2\", le=\"0.1\"}\t0+4x10\n+\trequest_duration_seconds_bucket{job=\"job2\", instance=\"ins2\", le=\"0.2\"}\t0+7x10\n+\trequest_duration_seconds_bucket{job=\"job2\", instance=\"ins2\", le=\"+Inf\"}\t0+9x10\n+\n+\n+# Quantile too low.\n+eval instant at 50m histogram_quantile(-0.1, testhistogram_bucket)\n+\t{start=\"positive\"} -Inf\n+\t{start=\"negative\"} -Inf\n+\n+# Quantile too high.\n+eval instant at 50m histogram_quantile(1.01, testhistogram_bucket)\n+\t{start=\"positive\"} +Inf\n+\t{start=\"negative\"} +Inf\n+\n+# Quantile value in lowest bucket, which is positive.\n+eval instant at 50m histogram_quantile(0, testhistogram_bucket{start=\"positive\"})\n+\t{start=\"positive\"} 0\n+\n+# Quantile value in lowest bucket, which is negative.\n+eval instant at 50m histogram_quantile(0, testhistogram_bucket{start=\"negative\"})\n+\t{start=\"negative\"} -0.2\n+\n+# Quantile value in highest bucket.\n+eval instant at 50m histogram_quantile(1, testhistogram_bucket)\n+\t{start=\"positive\"} 1\n+\t{start=\"negative\"} 0.3\n+\n+# Finally some useful quantiles.\n+eval instant at 50m histogram_quantile(0.2, testhistogram_bucket)\n+\t{start=\"positive\"} 0.048\n+\t{start=\"negative\"} -0.2\n+\n+\n+eval instant at 50m histogram_quantile(0.5, testhistogram_bucket)\n+\t{start=\"positive\"} 0.15\n+\t{start=\"negative\"} -0.15\n+\n+eval instant at 50m histogram_quantile(0.8, testhistogram_bucket)\n+\t{start=\"positive\"} 0.72\n+\t{start=\"negative\"} 0.3\n+\n+# More realistic with rates.\n+eval instant at 50m histogram_quantile(0.2, rate(testhistogram_bucket[5m]))\n+\t{start=\"positive\"} 0.048\n+\t{start=\"negative\"} -0.2\n+\n+eval instant at 50m histogram_quantile(0.5, rate(testhistogram_bucket[5m]))\n+\t{start=\"positive\"} 0.15\n+\t{start=\"negative\"} -0.15\n+\n+eval instant at 50m histogram_quantile(0.8, rate(testhistogram_bucket[5m]))\n+\t{start=\"positive\"} 0.72\n+\t{start=\"negative\"} 0.3\n+\n+# Aggregated histogram: Everything in one.\n+eval instant at 50m histogram_quantile(0.3, sum(rate(request_duration_seconds_bucket[5m])) by (le))\n+\t{} 0.075\n+\n+eval instant at 50m histogram_quantile(0.5, sum(rate(request_duration_seconds_bucket[5m])) by (le))\n+\t{} 0.1277777777777778\n+\n+# Aggregated histogram: Everything in one. Now with avg, which does not change anything.\n+eval instant at 50m histogram_quantile(0.3, avg(rate(request_duration_seconds_bucket[5m])) by (le))\n+\t{} 0.075\n+\n+eval instant at 50m histogram_quantile(0.5, avg(rate(request_duration_seconds_bucket[5m])) by (le))\n+\t{} 0.12777777777777778\n+\n+# Aggregated histogram: By job.\n+eval instant at 50m histogram_quantile(0.3, sum(rate(request_duration_seconds_bucket[5m])) by (le, instance))\n+\t{instance=\"ins1\"} 0.075\n+\t{instance=\"ins2\"} 0.075\n+\n+eval instant at 50m histogram_quantile(0.5, sum(rate(request_duration_seconds_bucket[5m])) by (le, instance))\n+\t{instance=\"ins1\"} 0.1333333333\n+\t{instance=\"ins2\"} 0.125\n+\n+# Aggregated histogram: By instance.\n+eval instant at 50m histogram_quantile(0.3, sum(rate(request_duration_seconds_bucket[5m])) by (le, job))\n+\t{job=\"job1\"} 0.1\n+\t{job=\"job2\"} 0.0642857142857143\n+\n+eval instant at 50m histogram_quantile(0.5, sum(rate(request_duration_seconds_bucket[5m])) by (le, job))\n+\t{job=\"job1\"} 0.14\n+\t{job=\"job2\"} 0.1125\n+\n+# Aggregated histogram: By job and instance.\n+eval instant at 50m histogram_quantile(0.3, sum(rate(request_duration_seconds_bucket[5m])) by (le, job, instance))\n+\t{instance=\"ins1\", job=\"job1\"} 0.11\n+\t{instance=\"ins2\", job=\"job1\"} 0.09\n+\t{instance=\"ins1\", job=\"job2\"} 0.06\n+\t{instance=\"ins2\", job=\"job2\"} 0.0675\n+\n+eval instant at 50m histogram_quantile(0.5, sum(rate(request_duration_seconds_bucket[5m])) by (le, job, instance))\n+\t{instance=\"ins1\", job=\"job1\"} 0.15\n+\t{instance=\"ins2\", job=\"job1\"} 0.1333333333333333\n+\t{instance=\"ins1\", job=\"job2\"} 0.1\n+\t{instance=\"ins2\", job=\"job2\"} 0.1166666666666667\n+\n+# The unaggregated histogram for comparison. Same result as the previous one.\n+eval instant at 50m histogram_quantile(0.3, rate(request_duration_seconds_bucket[5m]))\n+\t{instance=\"ins1\", job=\"job1\"} 0.11\n+\t{instance=\"ins2\", job=\"job1\"} 0.09\n+\t{instance=\"ins1\", job=\"job2\"} 0.06\n+\t{instance=\"ins2\", job=\"job2\"} 0.0675\n+\n+eval instant at 50m histogram_quantile(0.5, rate(request_duration_seconds_bucket[5m]))\n+\t{instance=\"ins1\", job=\"job1\"} 0.15\n+\t{instance=\"ins2\", job=\"job1\"} 0.13333333333333333\n+\t{instance=\"ins1\", job=\"job2\"} 0.1\n+\t{instance=\"ins2\", job=\"job2\"} 0.11666666666666667 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