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b4afc49d3c
sed -i s'/^<test.*$/<test>/g' tests/performance/*.xml
WITH ceil(max(q[3]), 1) AS h
SELECT concat('sed -i s\'/^<test.*$/<test max_ignored_relative_change="', toString(h), '">/g\' tests/performance/', test, '.xml') AS s
FROM
(
SELECT
test,
query_index,
count(*),
min(event_time),
max(event_time) AS t,
arrayMap(x -> floor(x, 3), quantiles(0, 0.5, 0.95, 1)(stat_threshold)) AS q,
median(stat_threshold) AS m
FROM perftest.query_metrics_v2
WHERE ((pr_number != 0) AND (event_date > '2021-01-01')) AND (metric = 'client_time') AND (abs(diff) < 0.05) AND (old_value > 0.1)
GROUP BY
test,
query_index,
query_display_name
HAVING (t > '2021-01-01 00:00:00') AND ((q[3]) > 0.1)
ORDER BY test DESC
)
GROUP BY test
ORDER BY h DESC
FORMAT PrettySpace
36 lines
1.5 KiB
XML
36 lines
1.5 KiB
XML
<test max_ignored_relative_change="0.2">
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<create_query>
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CREATE TABLE hits_wide AS hits_10m_single ENGINE = MergeTree()
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PARTITION BY toYYYYMM(EventDate)
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ORDER BY (CounterID, EventDate, intHash32(UserID))
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SAMPLE BY intHash32(UserID)
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SETTINGS min_rows_for_wide_part = 0, min_bytes_for_wide_part = 0
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</create_query>
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<create_query>
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CREATE TABLE hits_compact AS hits_10m_single ENGINE = MergeTree()
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PARTITION BY toYYYYMM(EventDate)
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ORDER BY (CounterID, EventDate, intHash32(UserID))
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SAMPLE BY intHash32(UserID)
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SETTINGS min_bytes_for_wide_part = '10M'
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</create_query>
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<create_query>
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CREATE TABLE hits_buffer AS hits_10m_single
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ENGINE = Buffer(default, hits_wide, 1, 0, 0, 10000, 10000, 0, 0)
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</create_query>
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<!-- Emulate writing many parts with 100 rows, because single insert query is too fast -->
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<settings>
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<max_block_size>100</max_block_size>
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<min_insert_block_size_rows>100</min_insert_block_size_rows>
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</settings>
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<!-- 100 parts -->
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<query>INSERT INTO hits_wide(UserID) SELECT rand() FROM numbers(10000)</query>
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<query>INSERT INTO hits_compact(UserID) SELECT rand() FROM numbers(100000)</query>
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<query>INSERT INTO hits_buffer(UserID) SELECT rand() FROM numbers(10000)</query>
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<drop_query>DROP TABLE IF EXISTS hits_wide</drop_query>
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<drop_query>DROP TABLE IF EXISTS hits_compact</drop_query>
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<drop_query>DROP TABLE IF EXISTS hits_buffer</drop_query>
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</test>
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