prometheus/promql/testdata/operators.test
Brian Brazil 3b89616d82 Allow on, ignoring, by and without wit empty laberls.
This offers new semantics in allowing on() for matching
two single-element vectors with no known common labels.
Previosuly this was often done using on(dummy).

This also allows making it explict that you meant
to do an aggregation without labels via by().

Fixes #1597.
2016-06-24 14:12:51 +01:00

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load 5m
http_requests{job="api-server", instance="0", group="production"} 0+10x10
http_requests{job="api-server", instance="1", group="production"} 0+20x10
http_requests{job="api-server", instance="0", group="canary"} 0+30x10
http_requests{job="api-server", instance="1", group="canary"} 0+40x10
http_requests{job="app-server", instance="0", group="production"} 0+50x10
http_requests{job="app-server", instance="1", group="production"} 0+60x10
http_requests{job="app-server", instance="0", group="canary"} 0+70x10
http_requests{job="app-server", instance="1", group="canary"} 0+80x10
load 5m
vector_matching_a{l="x"} 0+1x100
vector_matching_a{l="y"} 0+2x50
vector_matching_b{l="x"} 0+4x25
eval instant at 50m SUM(http_requests) BY (job) - COUNT(http_requests) BY (job)
{job="api-server"} 996
{job="app-server"} 2596
eval instant at 50m 2 - SUM(http_requests) BY (job)
{job="api-server"} -998
{job="app-server"} -2598
eval instant at 50m 1000 / SUM(http_requests) BY (job)
{job="api-server"} 1
{job="app-server"} 0.38461538461538464
eval instant at 50m SUM(http_requests) BY (job) - 2
{job="api-server"} 998
{job="app-server"} 2598
eval instant at 50m SUM(http_requests) BY (job) % 3
{job="api-server"} 1
{job="app-server"} 2
eval instant at 50m SUM(http_requests) BY (job) ^ 2
{job="api-server"} 1000000
{job="app-server"} 6760000
eval instant at 50m SUM(http_requests) BY (job) % 3 ^ 2
{job="api-server"} 1
{job="app-server"} 8
eval instant at 50m SUM(http_requests) BY (job) % 2 ^ (3 ^ 2)
{job="api-server"} 488
{job="app-server"} 40
eval instant at 50m SUM(http_requests) BY (job) % 2 ^ 3 ^ 2
{job="api-server"} 488
{job="app-server"} 40
eval instant at 50m SUM(http_requests) BY (job) % 2 ^ 3 ^ 2 ^ 2
{job="api-server"} 1000
{job="app-server"} 2600
eval instant at 50m COUNT(http_requests) BY (job) ^ COUNT(http_requests) BY (job)
{job="api-server"} 256
{job="app-server"} 256
eval instant at 50m SUM(http_requests) BY (job) / 0
{job="api-server"} +Inf
{job="app-server"} +Inf
eval instant at 50m SUM(http_requests) BY (job) + SUM(http_requests) BY (job)
{job="api-server"} 2000
{job="app-server"} 5200
eval instant at 50m http_requests{job="api-server", group="canary"}
http_requests{group="canary", instance="0", job="api-server"} 300
http_requests{group="canary", instance="1", job="api-server"} 400
eval instant at 50m http_requests{job="api-server", group="canary"} + rate(http_requests{job="api-server"}[5m]) * 5 * 60
{group="canary", instance="0", job="api-server"} 330
{group="canary", instance="1", job="api-server"} 440
eval instant at 50m rate(http_requests[25m]) * 25 * 60
{group="canary", instance="0", job="api-server"} 150
{group="canary", instance="0", job="app-server"} 350
{group="canary", instance="1", job="api-server"} 200
{group="canary", instance="1", job="app-server"} 400
{group="production", instance="0", job="api-server"} 50
{group="production", instance="0", job="app-server"} 249.99999999999997
{group="production", instance="1", job="api-server"} 100
{group="production", instance="1", job="app-server"} 300
eval instant at 50m http_requests{group="canary"} and http_requests{instance="0"}
http_requests{group="canary", instance="0", job="api-server"} 300
http_requests{group="canary", instance="0", job="app-server"} 700
eval instant at 50m (http_requests{group="canary"} + 1) and http_requests{instance="0"}
{group="canary", instance="0", job="api-server"} 301
{group="canary", instance="0", job="app-server"} 701
eval instant at 50m (http_requests{group="canary"} + 1) and on(instance, job) http_requests{instance="0", group="production"}
{group="canary", instance="0", job="api-server"} 301
{group="canary", instance="0", job="app-server"} 701
eval instant at 50m (http_requests{group="canary"} + 1) and on(instance) http_requests{instance="0", group="production"}
{group="canary", instance="0", job="api-server"} 301
{group="canary", instance="0", job="app-server"} 701
eval instant at 50m (http_requests{group="canary"} + 1) and ignoring(group) http_requests{instance="0", group="production"}
{group="canary", instance="0", job="api-server"} 301
{group="canary", instance="0", job="app-server"} 701
eval instant at 50m (http_requests{group="canary"} + 1) and ignoring(group, job) http_requests{instance="0", group="production"}
{group="canary", instance="0", job="api-server"} 301
{group="canary", instance="0", job="app-server"} 701
eval instant at 50m http_requests{group="canary"} or http_requests{group="production"}
http_requests{group="canary", instance="0", job="api-server"} 300
http_requests{group="canary", instance="0", job="app-server"} 700
http_requests{group="canary", instance="1", job="api-server"} 400
http_requests{group="canary", instance="1", job="app-server"} 800
http_requests{group="production", instance="0", job="api-server"} 100
http_requests{group="production", instance="0", job="app-server"} 500
http_requests{group="production", instance="1", job="api-server"} 200
http_requests{group="production", instance="1", job="app-server"} 600
# On overlap the rhs samples must be dropped.
eval instant at 50m (http_requests{group="canary"} + 1) or http_requests{instance="1"}
{group="canary", instance="0", job="api-server"} 301
{group="canary", instance="0", job="app-server"} 701
{group="canary", instance="1", job="api-server"} 401
{group="canary", instance="1", job="app-server"} 801
http_requests{group="production", instance="1", job="api-server"} 200
http_requests{group="production", instance="1", job="app-server"} 600
# Matching only on instance excludes everything that has instance=0/1 but includes
# entries without the instance label.
eval instant at 50m (http_requests{group="canary"} + 1) or on(instance) (http_requests or cpu_count or vector_matching_a)
{group="canary", instance="0", job="api-server"} 301
{group="canary", instance="0", job="app-server"} 701
{group="canary", instance="1", job="api-server"} 401
{group="canary", instance="1", job="app-server"} 801
vector_matching_a{l="x"} 10
vector_matching_a{l="y"} 20
eval instant at 50m (http_requests{group="canary"} + 1) or ignoring(l, group, job) (http_requests or cpu_count or vector_matching_a)
{group="canary", instance="0", job="api-server"} 301
{group="canary", instance="0", job="app-server"} 701
{group="canary", instance="1", job="api-server"} 401
{group="canary", instance="1", job="app-server"} 801
vector_matching_a{l="x"} 10
vector_matching_a{l="y"} 20
eval instant at 50m http_requests{group="canary"} unless http_requests{instance="0"}
http_requests{group="canary", instance="1", job="api-server"} 400
http_requests{group="canary", instance="1", job="app-server"} 800
eval instant at 50m http_requests{group="canary"} unless on(job) http_requests{instance="0"}
eval instant at 50m http_requests{group="canary"} unless on(job, instance) http_requests{instance="0"}
http_requests{group="canary", instance="1", job="api-server"} 400
http_requests{group="canary", instance="1", job="app-server"} 800
eval instant at 50m http_requests{group="canary"} / on(instance,job) http_requests{group="production"}
{instance="0", job="api-server"} 3
{instance="0", job="app-server"} 1.4
{instance="1", job="api-server"} 2
{instance="1", job="app-server"} 1.3333333333333333
eval instant at 50m http_requests{group="canary"} unless ignoring(group, instance) http_requests{instance="0"}
eval instant at 50m http_requests{group="canary"} unless ignoring(group) http_requests{instance="0"}
http_requests{group="canary", instance="1", job="api-server"} 400
http_requests{group="canary", instance="1", job="app-server"} 800
eval instant at 50m http_requests{group="canary"} / ignoring(group) http_requests{group="production"}
{instance="0", job="api-server"} 3
{instance="0", job="app-server"} 1.4
{instance="1", job="api-server"} 2
{instance="1", job="app-server"} 1.3333333333333333
# https://github.com/prometheus/prometheus/issues/1489
eval instant at 50m http_requests AND ON (dummy) vector(1)
http_requests{group="canary", instance="0", job="api-server"} 300
http_requests{group="canary", instance="0", job="app-server"} 700
http_requests{group="canary", instance="1", job="api-server"} 400
http_requests{group="canary", instance="1", job="app-server"} 800
http_requests{group="production", instance="0", job="api-server"} 100
http_requests{group="production", instance="0", job="app-server"} 500
http_requests{group="production", instance="1", job="api-server"} 200
http_requests{group="production", instance="1", job="app-server"} 600
eval instant at 50m http_requests AND IGNORING (group, instance, job) vector(1)
http_requests{group="canary", instance="0", job="api-server"} 300
http_requests{group="canary", instance="0", job="app-server"} 700
http_requests{group="canary", instance="1", job="api-server"} 400
http_requests{group="canary", instance="1", job="app-server"} 800
http_requests{group="production", instance="0", job="api-server"} 100
http_requests{group="production", instance="0", job="app-server"} 500
http_requests{group="production", instance="1", job="api-server"} 200
http_requests{group="production", instance="1", job="app-server"} 600
# Comparisons.
eval instant at 50m SUM(http_requests) BY (job) > 1000
{job="app-server"} 2600
eval instant at 50m 1000 < SUM(http_requests) BY (job)
{job="app-server"} 1000
eval instant at 50m SUM(http_requests) BY (job) <= 1000
{job="api-server"} 1000
eval instant at 50m SUM(http_requests) BY (job) != 1000
{job="app-server"} 2600
eval instant at 50m SUM(http_requests) BY (job) == 1000
{job="api-server"} 1000
eval instant at 50m SUM(http_requests) BY (job) == bool 1000
{job="api-server"} 1
{job="app-server"} 0
eval instant at 50m SUM(http_requests) BY (job) == bool SUM(http_requests) BY (job)
{job="api-server"} 1
{job="app-server"} 1
eval instant at 50m SUM(http_requests) BY (job) != bool SUM(http_requests) BY (job)
{job="api-server"} 0
{job="app-server"} 0
eval instant at 50m 0 == bool 1
0
eval instant at 50m 1 == bool 1
1
# group_left/group_right.
clear
load 5m
node_var{instance="abc",job="node"} 2
node_role{instance="abc",job="node",role="prometheus"} 1
load 5m
node_cpu{instance="abc",job="node",mode="idle"} 3
node_cpu{instance="abc",job="node",mode="user"} 1
node_cpu{instance="def",job="node",mode="idle"} 8
node_cpu{instance="def",job="node",mode="user"} 2
load 5m
random{foo="bar"} 1
load 5m
threshold{instance="abc",job="node",target="a@b.com"} 0
# Copy machine role to node variable.
eval instant at 5m node_role * on (instance) group_right (role) node_var
{instance="abc",job="node",role="prometheus"} 2
eval instant at 5m node_var * on (instance) group_left (role) node_role
{instance="abc",job="node",role="prometheus"} 2
eval instant at 5m node_var * ignoring (role) group_left (role) node_role
{instance="abc",job="node",role="prometheus"} 2
eval instant at 5m node_role * ignoring (role) group_right (role) node_var
{instance="abc",job="node",role="prometheus"} 2
# Copy machine role to node variable with instrumentation labels.
eval instant at 5m node_cpu * ignoring (role, mode) group_left (role) node_role
{instance="abc",job="node",mode="idle",role="prometheus"} 3
{instance="abc",job="node",mode="user",role="prometheus"} 1
eval instant at 5m node_cpu * on (instance) group_left (role) node_role
{instance="abc",job="node",mode="idle",role="prometheus"} 3
{instance="abc",job="node",mode="user",role="prometheus"} 1
# Ratio of total.
eval instant at 5m node_cpu / on (instance) group_left sum by (instance,job)(node_cpu)
{instance="abc",job="node",mode="idle"} .75
{instance="abc",job="node",mode="user"} .25
{instance="def",job="node",mode="idle"} .80
{instance="def",job="node",mode="user"} .20
eval instant at 5m sum by (mode, job)(node_cpu) / on (job) group_left sum by (job)(node_cpu)
{job="node",mode="idle"} 0.7857142857142857
{job="node",mode="user"} 0.21428571428571427
eval instant at 5m sum(sum by (mode, job)(node_cpu) / on (job) group_left sum by (job)(node_cpu))
{} 1.0
eval instant at 5m node_cpu / ignoring (mode) group_left sum without (mode)(node_cpu)
{instance="abc",job="node",mode="idle"} .75
{instance="abc",job="node",mode="user"} .25
{instance="def",job="node",mode="idle"} .80
{instance="def",job="node",mode="user"} .20
eval instant at 5m node_cpu / ignoring (mode) group_left(dummy) sum without (mode)(node_cpu)
{instance="abc",job="node",mode="idle"} .75
{instance="abc",job="node",mode="user"} .25
{instance="def",job="node",mode="idle"} .80
{instance="def",job="node",mode="user"} .20
eval instant at 5m sum without (instance)(node_cpu) / ignoring (mode) group_left sum without (instance, mode)(node_cpu)
{job="node",mode="idle"} 0.7857142857142857
{job="node",mode="user"} 0.21428571428571427
eval instant at 5m sum(sum without (instance)(node_cpu) / ignoring (mode) group_left sum without (instance, mode)(node_cpu))
{} 1.0
# Copy over label from metric with no matching labels, without having to list cross-job target labels ('job' here).
eval instant at 5m node_cpu + on(dummy) group_left(foo) random*0
{instance="abc",job="node",mode="idle",foo="bar"} 3
{instance="abc",job="node",mode="user",foo="bar"} 1
{instance="def",job="node",mode="idle",foo="bar"} 8
{instance="def",job="node",mode="user",foo="bar"} 2
# Use threshold from metric, and copy over target.
eval instant at 5m node_cpu > on(job, instance) group_left(target) threshold
node_cpu{instance="abc",job="node",mode="idle",target="a@b.com"} 3
node_cpu{instance="abc",job="node",mode="user",target="a@b.com"} 1
# Use threshold from metric, and a default (1) if it's not present.
eval instant at 5m node_cpu > on(job, instance) group_left(target) (threshold or on (job, instance) (sum by (job, instance)(node_cpu) * 0 + 1))
node_cpu{instance="abc",job="node",mode="idle",target="a@b.com"} 3
node_cpu{instance="abc",job="node",mode="user",target="a@b.com"} 1
node_cpu{instance="def",job="node",mode="idle"} 8
node_cpu{instance="def",job="node",mode="user"} 2
clear
load 5m
random{foo="bar"} 2
metricA{baz="meh"} 3
metricB{baz="meh"} 4
# On with no labels, for metrics with no common labels.
eval instant at 5m random + on() metricA
{} 5
# Ignoring with no labels is the same as no ignoring.
eval instant at 5m metricA + ignoring() metricB
{baz="meh"} 7
eval instant at 5m metricA + metricB
{baz="meh"} 7