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test: Add additional tests for mixed float/histogram series

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Add further tests for first_over_time (also covering existing
last_over_time, count_over_time, etc) to exercise vectors
containing a mix of float and histogram samples where the
histogram samples do not come last in the series.

This tripped over https://github.com/prometheus/prometheus/issues/17025
so it's structured a bit oddly to work around that bug in the
appender as used by promtest.

Signed-off-by: Craig Ringer <craig.ringer@enterprisedb.com>
This commit is contained in:
Craig Ringer 2025-08-07 13:33:27 +12:00
parent 1ce84d8e2f
commit 30bf18f968
1 changed files with 23 additions and 8 deletions
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31
promql/promqltest/testdata/functions.test vendored
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@ -1542,10 +1542,20 @@ load 10s
data{type="some_nan3"} NaN 0 1
data{type="only_nan"} NaN NaN NaN
data_histogram{type="only_histogram"} {{schema:0 sum:1 count:2}} {{schema:0 sum:2 count:3}} {{schema:0 sum:3 count:4}}
data_histogram{type="mix_samples"} 0 1 {{schema:0 sum:1 count:2}} {{schema:0 sum:2 count:3}}
data_histogram{type="mix_samples_hlast"} 0 1 {{schema:0 sum:1 count:2}} {{schema:0 sum:2 count:3}}
data_sparse{type="sparse_numbers"} _ 5 2 _ 4 _
data_empty{type="empty_series"} _ _ _ _ _ _ _ _ _ _ _ _ _
# workaround for https://github.com/prometheus/prometheus/issues/17025 causing histogram samples
# before float samples in a load directive to be silently dropped as (incorrectly) out-of-order.
# By splitting the vector across two loads, a commit is forced inbetween so the
# ordering will be handled correctly.
load 10s
data_histogram{type="mix_samples_hfirst"} {{schema:0 sum:1 count:2}} {{schema:0 sum:9 count:3}}
load 10s
data_histogram{type="mix_samples_hfirst"} _ _ 4 1
eval instant at 1m min_over_time(data[2m])
expect no_info
{type="numbers"} 0
@ -1558,9 +1568,10 @@ eval instant at 1m min_over_time(data_histogram{type="only_histogram"}[2m])
expect no_info
#empty
eval instant at 1m min_over_time(data_histogram{type=~"mix_samples"}[2m])
eval instant at 1m min_over_time(data_histogram{type=~"mix_samples.*"}[2m])
expect info
{type="mix_samples"} 0
{type="mix_samples_hlast"} 0
{type="mix_samples_hfirst"} 1
eval instant at 1m min_over_time(data_sparse[2m])
{type="sparse_numbers"} 2
@ -1577,9 +1588,10 @@ eval instant at 1m max_over_time(data_histogram{type="only_histogram"}[2m])
expect no_info
#empty
eval instant at 1m max_over_time(data_histogram{type=~"mix_samples"}[2m])
eval instant at 1m max_over_time(data_histogram{type=~"mix_samples.*"}[2m])
expect info
{type="mix_samples"} 1
{type="mix_samples_hlast"} 1
{type="mix_samples_hfirst"} 4
eval instant at 1m max_over_time(data_sparse[2m])
{type="sparse_numbers"} 5
@ -1592,7 +1604,8 @@ eval instant at 1m last_over_time({__name__=~"data(_histogram|_sparse|_empty)?"}
data{type="some_nan3"} 1
data{type="only_nan"} NaN
data_histogram{type="only_histogram"} {{schema:0 sum:3 count:4}}
data_histogram{type="mix_samples"} {{schema:0 sum:2 count:3}}
data_histogram{type="mix_samples_hlast"} {{schema:0 sum:2 count:3}}
data_histogram{type="mix_samples_hfirst"} 1
data_sparse{type="sparse_numbers"} 4
eval instant at 1m first_over_time({__name__=~"data(_histogram|_sparse|_empty)?"}[2m])
@ -1603,7 +1616,8 @@ eval instant at 1m first_over_time({__name__=~"data(_histogram|_sparse|_empty)?"
data{type="some_nan3"} NaN
data{type="only_nan"} NaN
data_histogram{type="only_histogram"} {{schema:0 sum:1 count:2}}
data_histogram{type="mix_samples"} 0
data_histogram{type="mix_samples_hlast"} 0
data_histogram{type="mix_samples_hfirst"} {{schema:0 sum:1 count:2}}
data_sparse{type="sparse_numbers"} 5
eval instant at 1m count_over_time({__name__=~"data(_histogram|_sparse|_empty)?"}[2m])
@ -1614,7 +1628,8 @@ eval instant at 1m count_over_time({__name__=~"data(_histogram|_sparse|_empty)?"
{type="some_nan3"} 3
{type="only_nan"} 3
{type="only_histogram"} 3
{type="mix_samples"} 4
{type="mix_samples_hlast"} 4
{type="mix_samples_hfirst"} 4
{type="sparse_numbers"} 3
clear