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42 lines
2.0 KiB
SQL
42 lines
2.0 KiB
SQL
-- input is table(query text, run UInt32, version int, time float)
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select
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-- abs(diff_percent) > rd_quantiles_percent[3] fail,
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floor(original_medians_array.time_by_version[1], 4) m1,
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floor(original_medians_array.time_by_version[2], 4) m2,
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floor((m1 - m2) / m1, 3) diff_percent,
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arrayMap(x -> floor(x / m1, 3), rd.rd_quantiles) rd_quantiles_percent,
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query
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from
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(
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select query, quantiles(0.05, 0.5, 0.95)(abs(time_by_label[1] - time_by_label[2])) rd_quantiles -- quantiles of randomization distribution
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from
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(
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select query, virtual_run, groupArrayInsertAt(median_time, random_label) time_by_label -- make array 'random label' -> 'median time'
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from (
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select query, medianExact(time) median_time, virtual_run, random_label -- get median times, grouping by random label
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from (
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select *, toUInt32(rowNumberInBlock() % 2) random_label -- randomly relabel measurements
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from (
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select query, time, number virtual_run
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from table, numbers(1, 10000) -- duplicate input measurements into many virtual runs
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order by query, virtual_run, rand() -- for each virtual run, randomly reorder measurements
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) virtual_runs
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) relabeled
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group by query, virtual_run, random_label
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) virtual_medians
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group by query, virtual_run -- aggregate by random_label
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) virtual_medians_array
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group by query -- aggregate by virtual_run
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) rd,
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(
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select groupArrayInsertAt(median_time, version) time_by_version, query
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from
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(
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select medianExact(time) median_time, query, version
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from table group by query, version
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) original_medians
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group by query
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) original_medians_array
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where rd.query = original_medians_array.query
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order by rd_quantiles_percent[3] desc;
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