Increase sleep time to avoid exemplar sampling rate limiting for openMetricsScrapeWithExemplars()

[izeye]

This PR increases sleep time to avoid exemplar sampling rate limiting for the openMetricsScrapeWithExemplars() as it seems to be flaky, depending on scheduling.

Looking into a failure, its output is as follows:

java.lang.AssertionError: 	
Expecting actual:	
  "# TYPE my_counter counter	
# HELP my_counter  	
my_counter_total 1.0 # {span_id="1",trace_id="2"} 1.0 1738954792.084	
# TYPE summary_noHistogram summary	
# HELP summary_noHistogram  	
summary_noHistogram_count 3 # {span_id="17",trace_id="18"} 0.1 1738954792.129	
summary_noHistogram_sum 1.0E18	
# TYPE summary_noHistogram_max gauge	
# HELP summary_noHistogram_max  	
summary_noHistogram_max 1.0E18	
# TYPE summary_withHistogram histogram	
# HELP summary_withHistogram  	
summary_withHistogram_bucket{le="1.0"} 1 # {span_id="19",trace_id="20"} 0.15 1738954792.130	
summary_withHistogram_bucket{le="2.0"} 1	
summary_withHistogram_bucket{le="3.0"} 1	
summary_withHistogram_bucket{le="4.0"} 1	
summary_withHistogram_bucket{le="5.0"} 1	
summary_withHistogram_bucket{le="6.0"} 1	
summary_withHistogram_bucket{le="7.0"} 1	
summary_withHistogram_bucket{le="8.0"} 1	
summary_withHistogram_bucket{le="9.0"} 1	
summary_withHistogram_bucket{le="10.0"} 1	
summary_withHistogram_bucket{le="11.0"} 1	
summary_withHistogram_bucket{le="12.0"} 1	
summary_withHistogram_bucket{le="13.0"} 1	
summary_withHistogram_bucket{le="14.0"} 1	
summary_withHistogram_bucket{le="16.0"} 2 # {span_id="21",trace_id="22"} 15.0 1738954792.157	
summary_withHistogram_bucket{le="21.0"} 2	
summary_withHistogram_bucket{le="26.0"} 2	
summary_withHistogram_bucket{le="31.0"} 2	
summary_withHistogram_bucket{le="36.0"} 2	
summary_withHistogram_bucket{le="41.0"} 2	
summary_withHistogram_bucket{le="46.0"} 2	
summary_withHistogram_bucket{le="51.0"} 2	
summary_withHistogram_bucket{le="56.0"} 2	
summary_withHistogram_bucket{le="64.0"} 2	
summary_withHistogram_bucket{le="85.0"} 2	
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summary_withHistogram_bucket{le="218451.0"} 2	
summary_withHistogram_bucket{le="240296.0"} 2	
summary_withHistogram_bucket{le="262144.0"} 2	
summary_withHistogram_bucket{le="349525.0"} 2	
summary_withHistogram_bucket{le="436906.0"} 2	
summary_withHistogram_bucket{le="524287.0"} 2	
summary_withHistogram_bucket{le="611668.0"} 2	
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summary_withHistogram_bucket{le="+Inf"} 3
summary_withHistogram_count 3 # {span_id="21",trace_id="22"} 15.0 1738954792.157
summary_withHistogram_sum 5.0E18
# TYPE summary_withHistogram_max gauge
# HELP summary_withHistogram_max
summary_withHistogram_max 5.0E18
# TYPE summary_withSlos histogram
# HELP summary_withSlos
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summary_withSlos_count 3 # {span_id="27",trace_id="28"} 250.0 1738954792.178
summary_withSlos_sum 1260.0
# TYPE summary_withSlos_max gauge
# HELP summary_withSlos_max
summary_withSlos_max 1000.0
# TYPE timer_noHistogram_seconds summary
# HELP timer_noHistogram_seconds
timer_noHistogram_seconds_count 3 # {span_id="3",trace_id="4"} 0.1 1738954792.087
timer_noHistogram_seconds_sum 0.45
# TYPE timer_noHistogram_seconds_max gauge
# HELP timer_noHistogram_seconds_max
timer_noHistogram_seconds_max 0.2
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timer_withHistogram_seconds_bucket{le="7.158278826"} 2
timer_withHistogram_seconds_bucket{le="8.589934591"} 2
timer_withHistogram_seconds_bucket{le="10.021590356"} 2
timer_withHistogram_seconds_bucket{le="11.453246121"} 2
timer_withHistogram_seconds_bucket{le="12.884901886"} 2
timer_withHistogram_seconds_bucket{le="14.316557651"} 2
timer_withHistogram_seconds_bucket{le="15.748213416"} 2
timer_withHistogram_seconds_bucket{le="17.179869184"} 2
timer_withHistogram_seconds_bucket{le="22.906492245"} 2
timer_withHistogram_seconds_bucket{le="28.633115306"} 2
timer_withHistogram_seconds_bucket{le="30.0"} 2
timer_withHistogram_seconds_bucket{le="+Inf"} 3 # {span_id="9",trace_id="10"} 60.0 1738954792.109
timer_withHistogram_seconds_count 3 # {span_id="9",trace_id="10"} 60.0 1738954792.109
timer_withHistogram_seconds_sum 60.165
# TYPE timer_withHistogram_seconds_max gauge
# HELP timer_withHistogram_seconds_max
timer_withHistogram_seconds_max 60.0
# TYPE timer_withSlos_seconds histogram
# HELP timer_withSlos_seconds
timer_withSlos_seconds_bucket{le="0.1"} 1 # {span_id="11",trace_id="12"} 0.015 1738954792.109
timer_withSlos_seconds_bucket{le="0.2"} 2 # {span_id="15",trace_id="16"} 0.15 1738954792.129
timer_withSlos_seconds_bucket{le="0.3"} 2
timer_withSlos_seconds_bucket{le="+Inf"} 3 # {span_id="13",trace_id="14"} 1.5 1738954792.119
timer_withSlos_seconds_count 3 # {span_id="15",trace_id="16"} 0.15 1738954792.129
timer_withSlos_seconds_sum 1.665
# TYPE timer_withSlos_seconds_max gauge
# HELP timer_withSlos_seconds_max
timer_withSlos_seconds_max 1.5
# EOF
"
to contain:
  "summary_withHistogram_bucket{le="16.0"} 2 # {span_id="23",trace_id="24"} 15.0 "

An exemplar sampling for the summary_withHistogram_bucket{le="+Inf"} 3 entry seems to have been missed.

I couldn't reproduce it locally, but if I reduce the sleep time to 1 ms, I could reproduce it.

This is an attempt to mitigate its flakiness by increasing chances for exemplar sampling to be scheduled in time.

See https://ge.micrometer.io/scans/tests?search.timeZoneId=Asia%2FSeoul&tests.container=io.micrometer.prometheusmetrics.PrometheusMeterRegistryTest&tests.sortField=FLAKY&tests.test=openMetricsScrapeWithExemplars()