ClickHouse/tests/performance/polymorphic_parts_l.xml
Alexander Kuzmenkov b4afc49d3c update perf tests
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
2021-02-02 17:21:43 +03:00

36 lines
1.5 KiB
XML

<test max_ignored_relative_change="0.2">
<create_query>
CREATE TABLE hits_wide AS hits_10m_single ENGINE = MergeTree()
PARTITION BY toYYYYMM(EventDate)
ORDER BY (CounterID, EventDate, intHash32(UserID))
SAMPLE BY intHash32(UserID)
SETTINGS min_rows_for_wide_part = 0, min_bytes_for_wide_part = 0
</create_query>
<create_query>
CREATE TABLE hits_compact AS hits_10m_single ENGINE = MergeTree()
PARTITION BY toYYYYMM(EventDate)
ORDER BY (CounterID, EventDate, intHash32(UserID))
SAMPLE BY intHash32(UserID)
SETTINGS min_bytes_for_wide_part = '10M'
</create_query>
<create_query>
CREATE TABLE hits_buffer AS hits_10m_single
ENGINE = Buffer(default, hits_wide, 1, 0, 0, 10000, 10000, 0, 0)
</create_query>
<!-- Emulate writing many parts with 1000 rows, because single insert query is too fast -->
<settings>
<max_block_size>1000</max_block_size>
<min_insert_block_size_rows>1000</min_insert_block_size_rows>
</settings>
<!-- 100 parts -->
<query>INSERT INTO hits_wide(UserID) SELECT rand() FROM numbers(100000)</query>
<query>INSERT INTO hits_compact(UserID) SELECT rand() FROM numbers(100000)</query>
<query>INSERT INTO hits_buffer(UserID) SELECT rand() FROM numbers(100000)</query>
<drop_query>DROP TABLE IF EXISTS hits_wide</drop_query>
<drop_query>DROP TABLE IF EXISTS hits_compact</drop_query>
<drop_query>DROP TABLE IF EXISTS hits_buffer</drop_query>
</test>