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debbdb8608
Signed-off-by: Zhang Zhanpeng <zhangzhanpeng.zzp@alibaba-inc.com> Signed-off-by: beorn7 <beorn@grafana.com> Co-authored-by: beorn7 <beorn@grafana.com>
74 lines
1.2 KiB
Plaintext
74 lines
1.2 KiB
Plaintext
# sum_over_time with all values
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load 15s
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bar 0 1 10 100 1000
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eval range from 0 to 1m step 30s sum_over_time(bar[30s])
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{} 0 11 1100
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clear
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# sum_over_time with trailing values
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load 15s
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bar 0 1 10 100 1000 0 0 0 0
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eval range from 0 to 2m step 1m sum_over_time(bar[30s])
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{} 0 1100 0
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clear
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# sum_over_time with all values long
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load 30s
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bar 0 1 10 100 1000 10000 100000 1000000 10000000
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eval range from 0 to 4m step 1m sum_over_time(bar[30s])
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{} 0 10 1000 100000 10000000
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clear
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# sum_over_time with all values random
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load 15s
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bar 5 17 42 2 7 905 51
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eval range from 0 to 90s step 30s sum_over_time(bar[30s])
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{} 5 59 9 956
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clear
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# metric query
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load 30s
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metric 1+1x4
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eval range from 0 to 2m step 1m metric
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metric 1 3 5
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clear
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# metric query with trailing values
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load 30s
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metric 1+1x8
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eval range from 0 to 2m step 1m metric
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metric 1 3 5
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clear
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# short-circuit
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load 30s
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foo{job="1"} 1+1x4
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bar{job="2"} 1+1x4
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eval range from 0 to 2m step 1m foo > 2 or bar
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foo{job="1"} _ 3 5
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bar{job="2"} 1 3 5
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clear
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# Drop metric name
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load 30s
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requests{job="1", __address__="bar"} 100
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eval range from 0 to 2m step 1m requests * 2
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{job="1", __address__="bar"} 200 200 200
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clear
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